10732 Containerization Jobs - Page 47

As a Senior Software Engineer on our Customer Solutions team, you will leverage our Patient Experience Platform to support deeply customized use cases that enhance patient care. Your role will involve designing and implementing tailored solutions that meet specific client needs, ensuring seamless integration with existing systems and workflows. What You'll Do Collaborate with clients and internal stakeholders to translate requirements into technical solutions. Design and develop customized applications and integrations to extend the capabilities of our Patient Experience Platform. Ensure solutions are scalable, maintainable, and adhere to software development best practices. Collaborate with cross-functional teams to prioritize tasks and maintain a healthy backlog of customer-related initiatives. Build and maintain long-term client relationships by delivering tailored solutions that meet both business and technical needs. Enhance alerting mechanisms to proactively identify and address potential issues, minimizing alert fatigue. Engage with the QA team to coordinate testing for infrastructure changes. Integrate SRE practices into the software development lifecycle. Stay up-to-date with healthcare technology trends and apply innovations to improve system performance and user experience. Provide technical leadership and mentorship to junior engineers on the team. Participate in client-facing meetings and provide insights into technical feasibility, risks, and trade-offs. What You Have Bachelors or Masters degree in Computer Science, Engineering, or a related field. 3+ years of professional software development experience. Proficiency in front-end technologies (e.g., TypeScript, React, Next.js). Experience with back-end programming languages, particularly Python NodeJS. Familiarity with modern cloud platforms (Azure, AWS, GCP) and cloud-native architectures. Proficiency in CI/CD tools (e.g., GitHub Actions, Google Cloud Build) and version control (e.g., Git). Expertise in containerization and orchestration tools (e.g., Docker, Kubernetes). Experience implementing monitoring, logging, and tracing for cloud infrastructure components. Experience with on-call rotations and incident response in production environments. Strong leadership, communication, and collaboration skills. Commitment to product security, privacy, and data protection standards. Experience working directly with clients or customers to deliver technical solutions. Familiarity with integration platforms (e.g., APIs, Webhooks) and tools for interfacing with third-party systems in a healthcare context. Strong problem-solving skills and ability to adapt quickly to changing client requirements Why youll love working at Commure + Athelas: Highly Driven Team: We work hard and fast for exceptional results, knowing were doing mission-driven work to transform the countrys largest sector. Strong Backing : We are backed by top investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital and Elad Gil. Incredible Growth : Prior to our merger, Commure and Athelas had independently grown more than 500% YoY for three consecutive years. Weve achieved Series D funding, have an industry-leading runway, and continue to scale rapidly. Competitive Benefits: Flexible PTO (pending specific geographical locations) , medical, dental, vision, maternity and paternity leave. Note that benefits are subject to change and may vary based on jurisdiction.

As a Senior Full Stack Engineer on our Patient Experience Platform team, you will play a key role in designing and developing end-to-end solutions that enhance patient engagement and streamline healthcare workflows. Your expertise will be critical in building intuitive, responsive, and secure interfaces that connect patients with healthcare providers, ultimately improving the overall patient experience. What You'll Do Design and implement full-stack applications to facilitate seamless interactions between patients and healthcare providers. Contribute to architectural decisions and help shape the direction of the platform as it scales to meet growing demand. Collaborate with cross-functional teams to gather requirements, define technical approaches, and prioritize tasks based on business needs. Maintain a healthy backlog and roadmap for DevOps-related initiatives. Ensure high performance, reliability, and scalability of applications. Continuously improve observability by implementing monitoring, logging, and tracing solutions. Maintain and improve our cloud infrastructure using Infrastructure-as-Code to create reproducible and reliable environments. Enhance alerting mechanisms to proactively identify and address potential issues, minimizing alert fatigue. Build and maintain robust, secure authentication and authorization systems to protect patient data. Develop and maintain CI/CD pipelines to streamline software delivery while following change control processes. Engage with the QA team to coordinate testing for infrastructure changes. Integrate SRE practices into the software development lifecycle. Stay up-to-date with healthcare technology trends and apply innovations to improve system performance and user experience. Participate in on-call rotations to provide production incident support. Document processes, configurations, and incident responses to maintain a comprehensive knowledge base. Foster a culture of code quality and best practices, including code reviews, documentation, and knowledge sharing. What You Have Bachelors or Masters degree in Computer Science, Engineering, or a related field. 3+ years of professional software development experience. Proficiency in front-end technologies (e.g., TypeScript, React, Next.js). Experience with back-end programming languages, especially Python NodeJS. Familiarity with modern cloud platforms (Azure, AWS, GCP) and cloud-native architectures. Proficiency in CI/CD tools (e.g., GitHub Actions, Google Cloud Build) and version control (e.g., Git). Expertise in containerization and orchestration tools (e.g., Docker, Kubernetes). Experience implementing monitoring, logging, and tracing for cloud infrastructure components. Experience with on-call rotations and incident response in production environments. Strong leadership, communication, and collaboration skills. A commitment to ongoing professional development. Experience with serverless architecture and microservices is a plus. Knowledge of healthcare standards like HL7, FHIR, and HIPAA compliance is highly desirable. Experience with performance optimization techniques for large-scale applications. Why youll love working at Commure + Athelas: Highly Driven Team: We work hard and fast for exceptional results, knowing were doing mission-driven work to transform the countrys largest sector. Strong Backing : We are backed by top investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital and Elad Gil. Incredible Growth : Prior to our merger, Commure and Athelas had independently grown more than 500% YoY for three consecutive years. Weve achieved Series D funding, have an industry-leading runway, and continue to scale rapidly. Competitive Benefits: Flexible PTO (pending specific geographical locations) , medical, dental, vision, maternity and paternity leave. Note that benefits are subject to change and may vary based on jurisdiction.

Job Description As the Machine Learning Enablement Engineering Manager within Ford’s Data Platforms and Engineering (DP&E) organization, you are a key leader responsible for guiding and developing a team of engineers focused on delivering high-impact, scalable machine learning solutions to address critical business challenges within DP&E. Your primary focus will be on building and maintaining the platform infrastructure and processes that empower data scientists and ML engineers to rapidly deploy and scale their solutions into production. You will work closely with Product Managers, Architects, Data Scientists, and other key stakeholders to drive engineering excellence, promote innovation, and uphold best practices. This role is less about building individual ML models and more about creating robust, reliable, and scalable solutions that allow others to deliver value effectively. Your leadership is crucial in driving the success of our machine learning initiatives. Your ability to guide and develop a team of engineers, while maintaining alignment with Ford’s strategic goals, will be key to delivering world-class, production-ready ML solutions that power Ford’s transformation into a data-driven enterprise. You should be a highly hands-on engineering leader with a proven track record of delivering complex, scalable solutions. While a deep understanding of ML concepts is beneficial, your primary focus will be on platform engineering, DevOps, and building robust, maintainable infrastructure. You will define processes for technical platforms, conceive application prototypes, and mentor your team in best practices. Your day-to-day responsibilities will involve designing and managing the organization's ML infrastructure architecture, ensuring data is efficiently processed, stored, and accessed to support ML model development and deployment. You will be pivotal in delivering these solutions on time and within budget. Responsibilities I. Engineering Leadership & Management: Proven experience (7+ years) in a leadership role managing engineering teams, ideally with a focus on platform engineering, MLOps, or similar areas. Experience managing remote teams is a plus. Experience leading and mentoring engineering teams, fostering a culture of innovation, continuous learning, and technical excellence. Demonstrated ability to drive strategic technical decisions and ensure alignment with broader organizational goals. Proven ability to build and maintain high-performing teams, promoting accountability, ownership, and collaboration. Experience with performance management, including conducting performance reviews and providing constructive feedback. Excellent communication and interpersonal skills, with a proven ability to cultivate cross-functional collaboration and build strong relationships with stakeholders at all levels. II. Agile & Scrum Practices: Deep understanding and practical experience with Agile methodologies (Scrum, Kanban), including facilitating daily stand-ups, sprint planning, backlog grooming, and sprint retrospectives. Experience working closely with Product Managers to align engineering efforts with product goals, ensure well-defined user stories, and manage priorities effectively. Proven ability to ensure engineering rigor in story hygiene, including clear acceptance criteria, well-defined dependencies, and a focus on deliverability within the sprint. III. Technical Expertise & Accountability: Deep understanding of platform engineering principles and experience designing, building, and maintaining scalable and reliable infrastructure for ML workloads. Expertise in DevOps practices, including CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), infrastructure-as-code (Terraform, Ansible, CloudFormation), and automation. Proficiency in at least one programming language (e.g., Python, Java) sufficient to effectively communicate with and guide your engineering team. You won’t be expected to contribute to team capacity by coding, but you need to be able to speak the language of your engineers. Strong understanding of cloud solutions and offerings (preferably GCP services – Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage, Vertex AI). Experience with other major cloud providers (AWS, Azure) is also valuable. Experience with designing and implementing microservices and serverless architectures. Experience with containerization (Docker, Kubernetes) is highly beneficial. Experience with monitoring and optimizing platform performance, ensuring systems are running efficiently and meeting SLAs. Proven ability to lead incident management efforts and implement continuous improvements to enhance reliability. Commitment to best engineering practices, including code reviews, testing, and documentation. A focus on building maintainable and scalable systems is essential. IV. Operational Excellence & Cost Optimization: Proven ability to drive cost optimization initiatives, particularly in cloud infrastructure and resource usage, aligning with Ford’s broader cost-reduction goals. Experience tracking and reporting key metrics for your domain/platform related to team performance, including quality and operational efficiency. Qualifications ML Enablement Engineering

Job Title: Ruby on Rails (RoR) Developer Experience: 3–4 Years Location: Remote Joining: Immediate Joiners Only Employment Type: Full-time Job Description We are looking for a skilled Ruby on Rails Developer to join our engineering team. The ideal candidate will have a solid foundation in computer science, strong backend development experience, and the ability to design and deliver scalable, production-grade systems. Key Responsibilities Design, develop, and maintain web applications using Ruby on Rails Translate requirements into technical solutions with performance and scalability in mind Build and manage RESTful APIs and microservices Work with relational and NoSQL databases like MySQL, PostgreSQL, MongoDB, or Cassandra Integrate and work with messaging systems such as Kafka or RabbitMQ Use Docker for containerization and deployment workflows Collaborate with cross-functional teams to deliver features end-to-end Write clean, testable code and participate in code reviews Follow best practices in version control, CI/CD, and application security Must-Have Skills 3–4 years of experience with Ruby on Rails in production environments Strong knowledge of computer science fundamentals Experience with cloud-hosted web applications and scalable backend systems Proficiency in at least one database technology (MySQL, PostgreSQL, MongoDB, etc.) Familiarity with messaging queues (Kafka, RabbitMQ) Working knowledge of Docker and container orchestration Ability to understand requirements and design effective technical solutions Strong problem-solving and communication skills Good to Have Experience with Java or Python Background in building high-performance microservices Exposure to CI/CD tools and Git-based workflows Familiarity with Agile methodologies

ROLES & RESPONSIBILITIES Key Responsibilities: Develop robust, scalable Python-based applications aligned with company requirements. Integrate and implement Generative AI models into business applications. Design, build, and maintain data pipelines and data engineering solutions on Azure. Collaborate closely with cross-functional teams (data scientists, product managers, data engineers, and cloud architects) to define, design, and deploy innovative AI and data solutions. Build, test, and optimize AI pipelines, ensuring seamless integration with Azure-based data systems. Continuously research and evaluate new AI and Azure data technologies and trends to enhance system capabilities. Participate actively in code reviews, troubleshooting, debugging, and documentation. Ensure high standards of code quality, performance, security, and reliability. Required Skills: Advanced proficiency in Python programming, including libraries and frameworks like Django, Flask, FastAPI. Experience in Generative AI technologies (e.g., GPT models, LangChain, Hugging Face). Solid expertise in Azure Data Engineering tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage. Familiarity with AI/ML libraries such as TensorFlow, PyTorch, or OpenAI API. Experience with RESTful APIs, microservices architecture, and web application development. Strong understanding of databases (SQL, NoSQL) and ETL processes. Good knowledge of containerization and orchestration technologies like Docker, Kubernetes. Strong problem-solving, analytical, and debugging skills. Preferred Qualifications: Bachelor's/master’s degree in computer science, Engineering, or related fields. Prior experience developing AI-enabled products or implementing AI into applications. Azure certifications (AZ-204, DP-203, AI-102) or equivalent. Exposure to DevOps practices and CI/CD pipelines, especially in Azure DevOps. Soft Skills: Strong communication and teamwork skills. Ability to work independently and proactively. Passion for continuous learning and professional growth. Location: Gurgaon, Noida, Pune, Bengaluru, Kochi EXPERIENCE 4.5-6 Years SKILLS Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): Python, Azure Data Factory, Python-Django

Requisition Number: 101414 Cloud Technical Lead - Infra Shift- 2 PM- 11 PM IST Location: The role will be a hybrid position located in Delhi NCR, Hyderabad, Bangalore, Pune, Mumbai, Chennai. Insight at a Glance 14,000+ engaged teammates globally #20 on Fortune’s World's Best Workplaces™ list $9.2 billion in revenue Received 35+ industry and partner awards in the past year $1.4M+ total charitable contributions in 2023 by Insight globally Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions. About the role As a Cloud Technical Lead you will: Extensive experience with Azure IaaS, PaaS, Networking, Storage, and Security Ability to work with clients in designing new Azure solutions Proven background in repeatable implementation and deploy models Possess comfort in leading war rooms, troubleshooting sessions, or producing RCA findings Good experience merging traditional data centers with newer cloud topologies General knowledge of IAM, role assignments, and Azure Active Directory Bonus consideration: familiarity with Conditional Access, Just in Time, EMS E3/E5, MCAS or Azure Sentinel Exposure to Containerization - Docker Kubernetes What we’re looking for Excellent understanding of provisioning and optimizing VM and managed disks. Expert understanding of cloud infrastructure, primarily Azure, secondary AWS and/or GCP Experience with security concepts such as encryption, identity management, access control and key vaults. Experience with networking concepts such as software-defined networking, routing, virtual private networks, load balancers, and firewalls. What you can expect We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today, your ambITious journey starts here. Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you! Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 &25 A Gurugram Gurgaon Hr 122002 India

Location Gurugram, Haryana, India This job is associated with 2 categories Job Id GGN00002110 Information Technology Job Type Full-Time Posted Date 07/07/2025 Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Job overview and responsibilities: The Senior Manager, Cloud Engineering will lead and scale United Airlines’ cloud infrastructure and operations, playing a key role in the design, development, and delivery of secure, scalable, and highly available cloud environments. This leader will manage a high-performing team of cloud engineers and collaborate closely with Enterprise Architecture, DevOps, Operations, Information Security (CDR), and Software Development teams to ensure the cloud ecosystem aligns with United’s digital strategy and evolving business needs. They will play a key role in implementing FinOps practices across the organization—establishing cost visibility, driving financial accountability, and optimizing cloud spend. The Senior Manager will partner with Finance, Procurement, and Engineering teams to ensure cloud investments are aligned with business value, and that cloud resources are used efficiently across all environments. In this role, the Senior Manager will drive cross-functional collaboration to ensure teams are equipped with the right technologies to support cloud initiatives, while continuously gathering feedback to enhance the user experience. Strong partnerships with application and infrastructure teams will be essential to delivering solutions that scale effectively and support organizational growth. Collaborate with domain architects, solutions architects, Information Security (CDR), (platform and cloud), engineers, and leaders to develop reference architectures, design patterns, opinion papers, technical standards and architecture decision frameworks that guide the design of technology solutions and applications across the enterprise. Develop and manage a cloud technical strategy and coordinates adoption of operational services. This role will be responsible to execute on strategic guidance that conveys best practices and common pitfalls for system/resources design, infrastructure integrations, cost optimization, monitoring, infrastructure as code (IaC), and incident response. Develop cloud operational metrics, plans, and KPIs to track and achieve desired business outcomes. Design and implement scalable cloud infrastructure solutions that meet operational requirements, such observability, stability, maintainability, security, reliability, extensibility, availability, and manageability. Ensure compliance with security and governance policies, including identity and access management, network architecture, and audit logging. Conduct research and develop Proof of Concepts on emerging cloud/hybrid cloud technologies and implementation toolkits in support of anticipated development efforts and recommend technologies that functionally robust and cost effective. Identify new cloud technologies, industry trends, emerging technologies and best practices, & recommend strategic adoption which should be incorporated into policies & roadmap. Lead, mentor, and grow a team of cloud engineers across multiple projects and platforms. Enable team knowledge redundancy and support to ensure operational effectiveness and consistency. This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree in Information Technology, Computer Science, Engineering or related field 12+ years of relative IT experience 5+ years of cloud architecture or development experience in cloud computing 3+ years of people management experience Application development and cloud architecture experience Strategic planning of Cloud Platforms and Cloud Enablement Understanding of emerging development platforms Strong understanding of FinOps and cloud financial management practices Deep expertise with AWS and Azure Service Offerings Proficiency in infrastructure-as-code tools such as Terraform, CDK, or CloudFormation. Strong understanding of containerization (e.g., Docker, Kubernetes) and CI/CD pipelines Proven experience with monitoring, observability, and incident response in cloud-native environments Proven expertise in leading and influencing technical staff or coordinating work across multiple technology teams Strong Analytic and Troubleshooting Skills What will help you propel from the pack (Preferred Qualifications): Master's degree in Information Technology, Computer Science, Engineering or related field AWS or Azure Certifications Airline Experience Preferred Excellence communicating and presenting Vendor Relations and Negotiations Process Improvement and Automation Project Estimation and Tracking

Technology Gurgaon, India Publicis Re:Sources India Intermediate Hybrid 7/7/2025 114965 Company description Resources is the backbone of Publicis Groupe, the world’s third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury, and risk management to help Publicis Groupe agencies do what they do best: create and innovate for their clients. In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications and tools to enhance productivity, encourage collaboration and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients. Overview Qualifications: Experience: 7-8 years of experience in DevOps, with a strong focus on Azure cloud services and Azure DevOps. Technical Skills: Extensive experience with Azure cloud services, including Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, and Azure SQL Database. Proficiency in building and managing CI/CD pipelines using Azure DevOps, including Pipelines, Repos, Artifacts, and Test Hands-on experience with Infrastructure as Code (IaC) tools such as Bicep , Terraform or ARM Strong scripting skills in PowerShell, Bash, or Experience with containerization technologies like Docker and O Knowledge Of Version Control Systems, Preferably Git. Soft Skills: Excellent problem-solving skills and attention to Strong communication and collaboration skills, with the ability to work effectively in a team Ability to manage multiple priorities and work independently with minimal Qualifications Education: Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work Additional information Preferred Qualifications: Experience with other cloud platforms (e.g., AWS, Google Cloud) is a Familiarity with Agile methodologies and DevOps best

Job Title: AWS Devops Engineer – Manager Business solutions Location: Gurgaon, India Experience Required: 8-12 years Industry: IT We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes. Key Deliverables (Essential functions & Responsibilities of the Job) : · Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS. · Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance. · Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines. · Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK. · Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack. · Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls. · Work closely with development teams to improve application reliability, scalability, and performance. · Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS. · Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding. · Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution. Knowledge Skills and Abilities: · 7+ years of hands-on AWS DevOps experience, especially with middleware services. · Strong expertise in MongoDB Atlas or other cloud MongoDB services. · Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK. · Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc. · Excellent scripting skills in Python, Bash, or PowerShell. · Experience in containerization and orchestration: Docker, EKS, ECS. · Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana. · Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups. · Ability to solve complex problems and thrive in a fast-paced environment. Preferred Qualifications · AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional. · MongoDB Certified DBA or Developer. · Experience with serverless services like AWS Lambda, Step Functions. · Exposure to multi-cloud or hybrid cloud environments. Mail updated resume with current salary- Email: jobs@ glansolutions.com Satish; 88O2749743 Job Type: Full-time Pay: ₹1,222,917.42 - ₹4,015,740.18 per year Schedule: Day shift Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How much experience you have in AWS DevOps with middleware services ? How Much Experience you have in MongoDB Atlas or other cloud MongoDB services ? Current CTC ? Expected CTC ? Notice period ? Current Location ? Would you be comfortable with job location (Gurgaon) ? Experience: AWS Devops: 7 years (Preferred) MongoDB: 7 years (Preferred) Work Location: In person Speak with the employer +91 9015477985

Technology Gurgaon, India Publicis Re:Sources India Intermediate Hybrid 7/7/2025 114956 Company description Resources is the backbone of Publicis Groupe, the world’s third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury, and risk management to help Publicis Groupe agencies do what they do best: create and innovate for their clients. In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications and tools to enhance productivity, encourage collaboration and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients. Overview As a Senior Azure DevOps Engineer, you will be responsible for designing, implementing, and managing our cloud infrastructure and CI/CD pipelin es using Azure DevOps . Your expertise will be crucial in ensuring the reliability, scalability, and security of our development and production environments. You will collaborate with cross-functional teams to support and enhance our application lifecycle management processes. Key Responsibilities: Infrastructure Management: Design, implement, and manage Azure cloud infrastructure, including virtual machines, networking, storage, and security CI/CD Pipelines: Develop, maintain, and optimize CI/CD pipelines using Azure DevOps to automate the build, test, and deployment Automation: Implement automation strategies for infrastructure provisioning, configuration management, and application deployment using tools like Azure Resource Manager (ARM) templates, Terraform, or Bicep is must Monitoring s Performance: Set up and manage monitoring and logging solutions to ensure system health and Troubleshoot and resolve issues related to infrastructure and deployment. Collaboration: Work closely with development, QA, and operations teams to ensure smooth integration and deployment Provide technical guidance and mentorship to junior team members. Security s Compliance: Ensure that infrastructure and applications comply with security best practices and regulatory Implement and manage identity and access management (IAM) policies. Documentation: Create and maintain comprehensive documentation for infrastructure configurations, deployment processes, and operational Qualifications: Experience: 7-8 years of experience in DevOps, with a strong focus on Azure cloud services and Azure DevOps. Technical Skills: Extensive experience with Azure cloud services, including Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, and Azure SQL Database. Proficiency in building and managing CI/CD pipelines using Azure DevOps, including Pipelines, Repos, Artifacts, and Test Hands-on experience with Infrastructure as Code (IaC) tools such as Bicep , Terraform or ARM Strong scripting skills in PowerShell, Bash, or Experience with containerization technologies like Docker and O Knowledge Of Version Control Systems, Preferably Git. Qualifications Qualifications: Experience: 7-8 years of experience in DevOps, with a strong focus on Azure cloud services and Azure DevOps. Technical Skills: Extensive experience with Azure cloud services, including Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, and Azure SQL Database. Proficiency in building and managing CI/CD pipelines using Azure DevOps, including Pipelines, Repos, Artifacts, and Test Hands-on experience with Infrastructure as Code (IaC) tools such as Bicep , Terraform or ARM Strong scripting skills in PowerShell, Bash, or Experience with containerization technologies like Docker and O Knowledge Of Version Control Systems, Preferably Git. Additional information Education: Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work

Project Role : Integration Engineer Project Role Description : Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements. Must have skills : 5G Wireless Networks & Technologies Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education JOB DESCRIPTION – 5G CORE Summary Client wireless technology team is looking a passionate senior mobile packet core cloud architect in the 5G core technology team which owns 5G core design, development and automation realization. Today, Client unique DSDS architecture is at the forefront of mobile data offload services in the telecom industry. As Client mobile packet core is moving towards the true cloud-native architecture, the candidate will be responsible for 5G core network function deployment over the AWS EC2 cloud. The candidate must have experiences in 4G/5G packet core network development and in AWS cloud deployment for Telco applications. The candidate must be a team player and be able to collaborate with multiple Client XFN teams to tackle the toughest problems in our industry in order to timely deliver the 5G core NFs over the AWS cloud. The candidate should also provide mentorship to the broader wireless team to support our efforts in transitioning Client 5G core network onto the public cloud. Roles and Responsibilities: The successful candidate will be responsible for 1. Migrate 5G core network functions onto AWS EC2 cloud infrastructure, with containerized architecture, 2. Collaborate with both 5G NF vendors and the AWS teams to design, develop and deploy 5G CNFs over the AWS EC2 cloud, 3. Define system requirements for 5G core CNF LCM, performance management, inventory management, security and account management, and operation automation over the AWS cloud, 4. Collaborate with Client XFN teams (e.g., security, operation, business…) to drive innovative product solutions for cloud security and operation efficiency, 5. Design, architect, and implement solutions utilizing AWS services, Kubernetes, and containerization technologies, 6. Develop and manage highly scalable and reliable 5G core CNF deployment architecture on AWS EC2 cloud to ensure optimal performance and cost efficiency, 7. Deploy and manage containerized applications using Kubernetes and related orchestration tools, 8. Stay updated with the latest advancements in AWS services, Kubernetes, and containerization technologies, and evaluate their potential impact on our infrastructure and applications, 9. Troubleshoot and resolve infrastructure and application-related issues, working closely with the development and operations teams. 10. Collaborate with stakeholders to identify and implement automation and optimization opportunities across the infrastructure and deployment processes, 11. Collaborate with cross-functional teams to gather requirements and translate them into technical designs and specifications, 12. Develop and deliver knowledge transfer/training sessions related to 5G NF LCM, performance management and fault management to the broader packet core development and operation teams. 13. Document Operational and Maintenance Requirements and Procedures for 5G packet core CNFs operating over the AWS cloud, 14. Timely and effective communications with all stakeholders, Technical Experience and Professional Attributes: 1. 8 years’ experience in 4G/5G 3GPP packet core network development and operations, which includes lab development, field deployment, troubleshooting and issue resolving capabilities, 2. With Nokia packet core knowledge is preferred 3. 3 years’ experience in AWS cloud infra (especially EKS) architecture and development, 4. With telco cloud implementation experiences is preferred 5. Hands-on experience in AWS services: 6. Virtual Private Cloud (VPC), subnetting and security groups 7. Elastic Compute Cloud (Amazon EC2), Elastic Network Interfaces and Auto Scaling Groups 8. VPC Networking: Direct Connect, VPC Peering, AWS Route 53, Transit Gateway and others 9. Container services (ECS, EKS, ECR) 10. Able to develop and comprehensively understand artifacts (CIQ, Network diagrams, call flow documents, Deployment Procedures, MOPs, Manifest files, Helm charts etc.). 11. Proven skills in Configuring, Instantiating and Troubleshooting containerized 5G packet core Network Functions over the AWS EC2 cloud, 12. Knowledge of or Professional experience with the following: 5G features, 5G associated protocols, 5G call flows, FCAPS, 13. Prior experience with creating and communicating RCA’s (root cause analysis), 14. Knowledge of Internet protocols and services including DNS, DHCP, LDAP, SMTP, and HTTP, 15. Strong team player who can collaborate in a matrix organization with an open, engaging, and inclusive approach to work; communication is essential, 16. Ability to thrive in a High-Stress environment while working with Client XFN teams, Vendors and Leadership, 17. Conveying a strong sense of urgency, responsiveness, follow-through, and successfully managing outcomes are critical to success in this role, 18. Ability to grasp higher-level technology issues and troubleshoot to resolution, 19. Ability to span departments to assist in resolving network event outages, 20. Ability to quickly learn new tools and systems, 21. Excellent communication and presentation skills, 22. Demonstrated expertise in problem solving and technical innovation, 23. Experience with distributed systems and mission-critical systems is preferred, 24. Knowledge about SDLC, Agile and Software Engineering Methodology is preferred, 25. 3 years of experiences in LTE/5G roaming design and implementation is preferred, 26. 3 years of experiences in 4G/5G network DPI designs and implementation is preferred, 27. 3 years of experiences in 4G/5G network DNS design and implementation is preferred. Educational Qualifications: 15 Years of education, BE / BTech in Telecommunications or related skills. Additional Information: Team Player 15 years full time education

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation.- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.-Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)--Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Requirements Design, develop and maintain Microservices in Java Spring Boot. Collaborate with team members to design and implement Microservice solutions. Troubleshoot, debug, and resolve technical issues. Write clean, efficient, and maintainable code. Provide technical guidance and mentorship to junior developers. Conduct code reviews and ensure adherence to coding standards. Understanding of Cloud services preferably AWS Work Experience Candidate must have 6 - 10 Years of strong Java microservices based application development experience. Should be an expert in microservices based development. Strong experience in java , Design patterns and Spring boot. Understanding of cloud services, infrastructure and deployment(Preferred AWS) Experience in BDD using Java/Cucumber or Behave. Experience in containerization, (Kubernetes, Docker) troubleshooting and support tasks Excellent problem solving/troubleshooting skills on microservices. Should be proactive and have the intellect to explore and come up with solution to complex technical issues Technical communication with internal and external stakeholders will be part of the job. Ability to learn/use a wide variety of open-source technologies and tools Would be a plus: Handson experience in AWS services. Experience in developing Critical, high available and high performing cloud-based enterprise solutions Exposure to Agile Preferred understanding of Jenkins, Git and CI/CD Experience in Scripting: Linux Shell scripting or Python. Experience in Medical Domain.

Required Skills We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities 1. AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. 2. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. 3. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. 4. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. 5. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. 6. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) 7. Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. 8. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Technical Skills Proficient in Python , with strong knowledge of libraries like NumPy, Pandas, SciPy, and Matplotlib for data manipulation and visualization. Expertise in TensorFlow, PyTorch, Scikit-learn, and Keras for building, training, and optimizing machine learning and deep learning models. Hands-on experience with Transformer libraries like Hugging Face Transformers, OpenAI APIs, and LangChain for NLP tasks. Practical knowledge of CNN architectures (e.g., YOLO, ResNet, VGG) and Vision Transformers (ViT) for Computer Vision applications. Proficiency in developing and deploying Diffusion Models like Stable Diffusion, SDX, and other generative AI frameworks. Experience with RLHF (Reinforcement Learning with Human Feedback) and reinforcement learning algorithms for optimizing AI behaviors. Proficiency with Docker and Kubernetes for containerization and orchestration of AI workflows. Hands-on experience with MLOps tools such as MLFlow for model tracking and CI/CD integration in AI pipelines. Expertise in setting up monitoring tools like Prometheus and Grafana to track model performance, latency, throughput, and drift. Knowledge of performance optimization techniques, such as quantization, pruning, and knowledge distillation, to improve model efficiency. Experience in building data pipelines for preprocessing, cleaning, and transforming large datasets using tools like Apache Airflow, Luigi Familiarity with cloud-based storage systems (e.g., AWS S3, Google BigQuery) for efficient data handling in AI workflows. Strong understanding of cloud platforms (AWS, GCP, Azure) for deploying and scaling AI solutions. Knowledge of advanced search technologies such as Elasticsearch for indexing and querying large datasets. Familiarity with edge deployment frameworks and optimization for resource-constrained environments Qualifications · Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Experience: 2.5 to 5 yrs Location: Trivandrum Job Type: Full-time Pay: ₹500,000.00 - ₹1,100,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person

Experience Required: 3-5 years of hands-on experience in full-stack development, system design, and supporting AI/ML data-driven solutions in a production environment. Key Responsibilities Implementing Technical Designs: Collaborate with architects and senior stakeholders to understand high-level designs and break them down into detailed engineering tasks. Implement system modules and ensure alignment with architectural direction. Cross-Functional Collaboration: Work closely with software developers, data scientists, and UI/UX teams to translate system requirements into working code. Clearly communicate technical concepts and implementation plans to internal teams. Stakeholder Support: Participate in discussions with product and client teams to gather requirements. Provide regular updates on development progress and raise flags early to manage expectations. System Development & Integration: Develop, integrate, and maintain components of AI/ML platforms and data-driven applications. Contribute to scalable, secure, and efficient system components based on guidance from architectural leads. Issue Resolution: Identify and debug system-level issues, including deployment and performance challenges. Proactively collaborate with DevOps and QA to ensure resolution. Quality Assurance & Security Compliance: Ensure that implementations meet coding standards, performance benchmarks, and security requirements. Perform unit and integration testing to uphold quality standards. Agile Execution: Break features into technical tasks, estimate efforts, and deliver components in sprints. Participate in sprint planning, reviews, and retrospectives with a focus on delivering value. Tool & Framework Proficiency: Use modern tools and frameworks in your daily workflow, including AI/ML libraries, backend APIs, front-end frameworks, databases, and cloud services, contributing to robust, maintainable, and scalable systems. Continuous Learning & Contribution: Keep up with evolving tech stacks and suggest optimizations or refactoring opportunities. Bring learnings from the industry into internal knowledge-sharing sessions. Proficiency in using AI-copilots for Coding: Adaptation to emerging tools and knowledge of prompt engineering to effectively use AI for day-to-day coding needs. Technical Skills Hands-on experience with Python-based AI/ML development using libraries such as TensorFlow, PyTorch, scikit-learn, or Keras. Hands-on exposure to self-hosted or managed LLMs, supporting integration and fine-tuning workflows as per system needs while following architectural blueprints. Practical implementation of NLP/CV modules using tools like SpaCy, NLTK, Hugging Face Transformers, and OpenCV, contributing to feature extraction, preprocessing, and inference pipelines. Strong backend experience using Django, Flask, or Node.js, and API development (REST or GraphQL). Front-end development experience with React, Angular, or Vue.js, with a working understanding of responsive design and state management. Development and optimization of data storage solutions, using SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra), with hands-on experience configuring indexes, optimizing queries, and using caching tools like Redis and Memcached. Working knowledge of microservices and serverless patterns, participating in building modular services, integrating event-driven systems, and following best practices shared by architectural leads. Application of design patterns (e.g., Factory, Singleton, Observer) during implementation to ensure code reusability, scalability, and alignment with architectural standards. Exposure to big data tools like Apache Spark, and Kafka for processing datasets. Familiarity with ETL workflows and cloud data warehouse, using tools such as Airflow, dbt, BigQuery, or Snowflake. Understanding of CI/CD, containerization (Docker), IaC (Terraform), and cloud platforms (AWS, GCP, or Azure). Implementation of cloud security guidelines, including setting up IAM roles, configuring TLS/SSL, and working within secure VPC setups, with support from cloud architects. Exposure to MLOps practices, model versioning, and deployment pipelines using MLflow, FastAPI, or AWS SageMaker. Configuration and management of cloud services such as AWS EC2, RDS, S3, Load Balancers, and WAF, supporting scalable infrastructure deployment and reliability engineering efforts. Personal Attributes Proactive Execution and Communication: Able to take architectural direction and implement it independently with minimal rework with regular communication with stakeholders Collaboration: Comfortable working across disciplines with designers, data engineers, and QA teams. Responsibility: Owns code quality and reliability, especially in production systems. Problem Solver: Demonstrated ability to debug complex systems and contribute to solutioning. Key: Python, Django, Django ORM, HTML, CSS, Bootstrap, JavaScript, jQuery, Multi-threading, Multi-processing, Database Design, Database Administration, Cloud Infrastructure, Data Science, self-hosted LLMs Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in cloud or machine learning are a plus. Package: 6-11 LPA Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Health insurance Life insurance Provident Fund Schedule: Day shift Monday to Friday

6 Months of On-The-Job, Hands-on Training to Restart Your Career "A fantastic opportunity tailored to career-paused women engineers." Eligibility Criteria: Education in EC / CS / IT Minimum 1-year career pause Prior professional experience of at least 2 years Advantage: Prior experience in AI/ML, Digital, OTT, Wireless, Telecommunication, Embedded Programming languages and many more. Openings: 2 Responsibilities: Design, develop, and maintain scalable and high-performance applications using Scala Collaborate with data engineers and scientists to build data pipelines and processing systems Write clean, maintainable, and efficient code following functional programming principles Work with big data technologies like Apache Spark, Kafka, and Hadoop Participate in code reviews and contribute to improving code quality Troubleshoot and resolve technical issues in production systems Optimize applications for performance and scalability Work with cloud-based infrastructure and containerization tools Contribute to the development of distributed systems and microservices Requirements: Bachelor’s degree in Computer Science, Information Technology, or a related field (B.Tech/MCA) Project experience with Scala Strong understanding of Scala and functional programming concepts Experience with big data technologies like Apache Spark, Kafka, or Hadoop Familiarity with RESTful APIs and web services Knowledge of databases (SQL and NoSQL) and data modelling Understanding of cloud platforms (AWS, GCP, or Azure) is a plus Familiarity with build tools like SBT or Maven Experience with Agile methodologies and DevOps practices Skills Required: Proficiency in Scala programming Strong understanding of functional programming principles Experience with big data processing frameworks Good problem-solving and analytical skills Ability to work collaboratively in a team environment Excellent communication and interpersonal skills Willingness to learn and adapt to new technologies

JOB DESCRIPTION (summary) About Trace One Group: Trace One offers the global leading end-to-end PLM and compliance solutions that transform the Consumer-Packaged-Goods industry (CPG). With more than 30 years of experience in new product development, packaging, and formulation management, we supply a single, collaborative platform for process manufacturers and retailers—from raw ingredient suppliers and boutique brands to global CPG giants and blue-chip retailers. We help businesses connect, comply, and create remarkable products that empower consumers and shape the world. Our extending global community of 6,000+ brand owners spans more than 170 countries and produces over $500Bn in revenue each year. For more information, visit www.traceone.com Or follow us LinkedIn : Company/trace-one Twitter : TraceOneNetwork YouTube : Youtube.com/user/Traceoneworld Context: Within the Management of Information Systems (MIS) department, in an international and multicultural environment, you will contribute to the evolution of projects, and the building and maintenance of the IT infrastructure on-premises and in the Cloud. Hierarchy and interactions: •Reports to the Global Infrastructure & Project Director •Interacts with the departments: Engineering, Professional Services, Product , Support , CS and MIS teams Autonomy of the position: Individual contributor Mission • Monitor the availability, performance, and health of infrastructure systems using tools such as Zabbix and Grafana. • Identify and resolve infrastructure issues proactively to ensure stability and minimize downtime. • Prepare and deliver regular reports on system status, backup results, incidents, and overall infrastructure performance. • Manage tickets received, including user requests, infrastructure modifications, deployments, and critical incidents. • Support infrastructure services across GCP, VMware, Linux, Windows, and NetApp storage. • Maintain reliable backup and disaster recovery operations. • Automate recurring infrastructure tasks and deployments through scripting (PowerShell) and Infrastructure as Code tools (Terraform). • Deploy, configure, and maintain Kubernetes clusters and containerized workloads. • Participate in MIS-driven projects aimed at improving, modernizing, and securing the infrastructure. • Keep technical documentation up to date and aligned with operational changes and best practices. Work timing: 3 AM FRA – 12 PM FRA On call support on Sunday – Monthly once Skills: • Cloud Platforms: Google Cloud Platform (GCP) • Operating Systems: Microsoft Windows Server, Linux • Containerization & Orchestration: Kubernetes (administration, deployment, monitoring) • Virtualization: VMware (vSphere/ESXi) • Storage: NetApp solutions • Backup & Recovery: Veeam Backup & Replication • Monitoring Tools: Zabbix, Grafana IT Automation & Scripting: o Terraform (Infrastructure as Code) o PowerShell scripting (Windows automation) IT Management Tools : o SCCM (System Center Configuration Manager) o JIRA (ticketing and project tracking) Networking : Basic knowledge of networking concepts (IP, DNS, DHCP, VLANs, firewalls, routing) Personal skills • Meticulous attention to detail and commitment to producing high-quality, maintainable solutions or code. • Excellent English communication skills, both verbal and written. • Proactive problem-solver with a continuous improvement mindset. • Ability to confidently work with mission-critical production systems. • Agile • Curious • Available for work • Ability to analyze • Relational quality • Ability to grasp / increase competence on new technical or functional projects • Written and oral communication Education / Experience • Engineering school or Master in Engineering

Experience Required 3–6 years Job Summary: We are looking for an experienced and highly skilled Senior Full Stack Developer with a strong command of React.js and Node.js to take a leading role in building complex, scalable, and secure web applications. You’ll be expected to contribute to the architecture and development of both frontend and backend systems, mentor junior developers, and collaborate closely with product and design teams. Key Responsibilities: Lead the design, development, and deployment of full-stack applications using React.js (front-end) and Node.js (back-end). Architect robust, secure, and scalable backend systems using Express.js and modern API design principles. Experience working with microservices architecture, serverless frameworks, and distributed systems. Translate business and product requirements into high-quality technical solutions. Write high-performance, reusable, and modular code following industry best practices and coding standards. Oversee database design, manage complex queries, and optimize performance in MySQL and PostgreSQL. Familiarity with build tools like Webpack, Babel, etc., and package managers such as npm or Yarn. Develop and maintain comprehensive test coverage through unit and integration tests. Conduct code reviews, provide mentorship, and enforce clean code practices across the team. Lead troubleshooting and debugging efforts across full-stack environments. Contribute to and maintain CI/CD pipelines to ensure reliable deployment processes. Collaborate cross-functionally with Product Managers, Designers, QA, and DevOps. Ensure applications meet security, accessibility, and performance benchmarks. Advocate for and help adopt emerging technologies and AI developer tools like Cursor AI or Cline. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. 5–6 years of hands-on experience in full-stack development with a primary focus on React.js and Node.js or Next JS. Deep understanding of JavaScript (ES6+), HTML5, CSS3, and modern front-end development practices. Strong architectural understanding of web applications, MVC patterns, and modular design. Proficient in MySQL and PostgreSQL, including schema design, indexing, joins, and query optimization. Demonstrated experience with unit testing frameworks (Jest, Mocha, etc.) and test-driven development (TDD). Proficient in version control systems like Git and workflows such as GitFlow. Strong understanding of asynchronous programming, authentication, and authorization protocols (JWT, OAuth). Proven experience in setting up and managing CI/CD pipelines and deployment automation. Preferred Skills Experience with TypeScript in both front-end and back-end environments. Exposure to containerization tools like Docker and experience deploying to cloud platforms (AWS, GCP, Firebase). Familiarity with GraphQL, WebSockets, or event-driven systems. Hands-on experience with AI-powered dev tools (e.g., Cursor AI, Cline, GitHub Copilot). Experience mentoring junior developers and leading sprint-based teams in an Agile environment. Familiarity with monitoring, alerting, and observability tools (e.g., Sentry, New Relic, Prometheus). Exposure to performance profiling and browser-based debugging. Location - Trivandrum Work from office Salary- 6- 12 LPA Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹1,200,000.00 per year Work Location: In person

On-the-Job Training Program: DevOps Engineering Trainee Location: Calicut, Kerala Job Type: Full-time, Fresher, Internship Contract Length: 6 months Job Description: We are looking for a motivated and detail-oriented DevOps Engineering Trainee to join our innovative team. This role offers a unique opportunity to gain practical experience in DevOps practices, cloud computing, and automation, contributing to the development and deployment of cutting-edge applications and infrastructure. Key Responsibilities: Assist in the management and automation of cloud infrastructure. Collaborate with development teams to streamline software delivery pipelines and enhance Continuous Integration/Continuous Deployment (CI/CD) processes. Support the setup and management of containerized environments using Docker and Kubernetes. Monitor system performance and troubleshoot issues to ensure smooth operations and minimal downtime. Help implement infrastructure as code (IaC) using tools. Assist in the configuration and management of version control systems like Git. Participate in the automation of manual tasks, including provisioning, configuration, and scaling of environments. Work on ensuring security, scalability, and performance of applications and infrastructure. Stay updated with the latest trends in DevOps tools, methodologies, and best practices. Contribute to the creation of technical documentation and internal knowledge base for DevOps workflows. Requirements: Basic understanding of cloud platforms. Familiarity with containerization technologies. Knowledge of automation tools. Understanding of version control systems like Git. Basic scripting skills in languages. Strong analytical and problem-solving skills, with a focus on automation and optimization. Good communication skills and the ability to work effectively in a team-oriented environment. A keen interest in learning DevOps best practices and cloud infrastructure. Why Join Us? If you are passionate about DevOps, automation, and cloud technologies, and eager to grow in a collaborative environment, this training program is an excellent opportunity to kick-start your career in DevOps engineering! Schedule: Shift: Day shift Work Location: In person Experience: Level: Fresher Job Type: Internship Contract Length: 6 months Job Type: Internship Contract length: 6 months Pay: ₹1,000.00 - ₹4,500.00 per month Schedule: Day shift Work Location: In person

Axiad is an identity security company tackling the critical threats posed by compromised credentials, which account for over 70% of enterprise breaches. As human and non-human identities multiply across disparate systems, traditional IAM tools fall short, leaving organizations with fragmented visibility and significant security gaps. Axiad bridges this divide by uncovering hidden identity risks and credential vulnerabilities, providing actionable insights to strengthen security—without requiring a complete system overhaul. Our solutions integrate seamlessly with existing IAM infrastructures, enabling organizations to shrink their attack surface and adopt phishing-resistant, strong authentication methods. At Axiad, we make identity security simple, effective, and real for a passwordless, more secure world. Discover more at axiad.com or follow us on LinkedIn. Location: Hybrid Job Type: Full-time We are seeking an experienced Go Tech Lead with 8–10 years of professional experience in software engineering, including significant hands-on expertise with the Go programming language. As the Go Tech Lead, you will be responsible for guiding a team of developers, driving technical excellence, and ensuring the successful delivery of scalable, high-quality software solutions. This role combines strong technical skills with leadership, mentoring, and project management responsibilities Role Responsibilities Lead and mentor a team of Go developers, providing technical guidance, feedback, and support throughout the software development lifecycle Architect, design, and implement scalable, maintainable, and efficient backend systems using Go, ensuring alignment with business and technical requirements Collaborate with product managers, designers, QA engineers, and other stakeholders to define project requirements and deliver high-quality software products. Establish and enforce coding standards, best practices, and quality assurance processes within the team Conduct code reviews and provide constructive feedback to ensure code quality, maintainability, and adherence to best practices Identify and resolve technical issues, bottlenecks, and areas for improvement in both codebase and team processes Oversee project planning, estimation, and delivery, ensuring projects are completed on time and within scope Recruit, onboard, and train new team members as required Skills and requirements 8–10 years of professional software engineering experience, with at least 3–5 years in Go development Proven experience leading and mentoring software development teams. Strong knowledge of Go templating, common frameworks, and tools Experience with cloud platforms (e.g., AWS), containerization (Docker, Kubernetes), and CI/CD pipelines Solid understanding of RESTful API design, microservices architecture, and distributed systems Excellent problem-solving, analytical, and communication skills Experience with version control systems (e.g., Git) and agile development methodologies Familiarity with other backend languages (e.g., Java, Python) is a plus Bachelor's or Master's degree in Computer Science, Engineering, or related field Preferred Qualifications Experience with Agile methodologies Exposure to event-driven architectures (Kafka) Experience working in distributed team environments ABOUT US We are a fast-moving company and are looking for candidates with growth potential, eager to learn and who can demonstrate their abilities and motivation to contribute in a fast-pace environment. Axiad offers a competitive compensation and benefits. You will work in a fun and creative environment with a talented group of individuals that have a passion for building great solutions.

Responsibilities: Design, develop, test, and maintain robust software applications and services. Write clean, scalable, and maintainable code using C# and .NET Core (preferably .NET 7/8). Collaborate with product managers, designers, and fellow engineers to deliver high-quality features. Participate in all phases of the software development lifecycle (SDLC). Develop and consume RESTful APIs and integrate with third-party services. Optimize application performance, scalability, and security. Write unit tests and participate in code reviews to ensure code quality. Document technical designs, processes, and system configurations. Stay current with emerging technologies and development trends. Required Skills: 5–8 years of experience in software development. Strong proficiency in .NET Core, C#, and API development. Solid understanding of object-oriented programming, SOLID principles, and design patterns. Experience with SQL, NoSQL, MongoDB, and Graph databases. Hands-on experience with Microsoft Azure services, including: - IoT Hub, Event Hub, Azure Functions, Cosmos DB, Synapse Analytics - Application Insights, API Management, Key Vault, App Services - Azure Data Lake Storage, Azure Data Factory, Container Registries Familiarity with SignalR and real-time communication. Experience working on IoT solutions using cloud platforms (preferably Azure). Familiarity with Git, Azure DevOps, and CI/CD pipelines. Strong debugging, problem-solving, and analytical skills. Good communication and teamwork abilities. Preferred Skills: Exposure to Azure IoT Edge, Device/Module Twins. Experience with containerization (Docker) and orchestration (Kubernetes). Familiarity with Agile methodologies (Scrum, JIRA). Experience with microservices architecture. Understanding of security best practices in software development. Basic knowledge of frontend technologies (e.g., Angular) is a plus. About Regal Rexnord Regal Rexnord is a publicly held global industrial manufacturer with 30,000 associates around the world who help create a better tomorrow by providing sustainable solutions that power, transmit and control motion. The Company’s electric motors and air moving subsystems provide the power to create motion. A portfolio of highly engineered power transmission components and subsystems efficiently transmits motion to power industrial applications. The Company’s automation offering, comprised of controls, actuators, drives, and precision motors, controls motion in applications ranging from factory automation to precision control in surgical tools. The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture. Regal Rexnord is comprised of three operating segments: Industrial Powertrain Solutions, Power Efficiency Solutions, and Automation & Motion Control. Regal Rexnord has offices and manufacturing, sales and service facilities worldwide. For more information, including a copy of our Sustainability Report, visit RegalRexnord.com.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Primary responsibility in areas such as Quality, Automation, Test Framework, DevOps, and CI/CD. This involves identifying problem areas, identifying areas for improvement and implementing strategies to optimize their engineering process In addition to the Quality Engineering role, It will be required to have hands on Development skills for developing test related products As a Tech Lead, you will play a crucial role in promoting knowledge sharing and mentorship within the team, grow their skills and expertise in QE/SDET practices Leverage AI for generating dynamic reports, dashboard and quality metrics Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Btech/MCA in Computer Science, Engineering, Information Systems, or a related technical discipline 9+ years of as SDET, including significant experience in designing and architecting scalable mobile automation frameworks Solid understanding of Software Engineering & Quality Engineering (QE) principles and practices, including Designing, Coding, Test design, test automation, and continuous testing Familiarity with various test frameworks and tools is essential Expertise in Mobile test automation Appium/ Maestro Proficiency in Automation, including experience with automation frameworks, scripting languages, at least one programming language (Java, Python), and test automation tools like Selenium The ability to design and implement robust automation solutions is crucial Sound knowledge of Test Frameworks and their design patterns , including designing, developing, and maintaining test frameworks that enable efficient and effective quality assurance processes Expertise in DevOps practices, such as continuous integration, continuous delivery, and infrastructure automation. Knowledge of containerization technologies, version control systems, and build tools is important Solid understanding of CI/CD (Continuous Integration/Continuous Delivery) concepts, processes, and tools to enable efficient software release cycles and rapid delivery Leadership and team management skills, including the ability to set clear objectives, provide guidance, delegate tasks, and ensure project completion. Mentorship and knowledge sharing are key aspects of this role Excellent collaboration and communication skills, as you will be working closely with cross-functional teams, clients, and stakeholders to understand their needs, identify improvement areas, and implement engineering strategies Proficient with tools like Rally, Jira for defect and test management Good knowledge on Agile Testing fundamentals with solid concepts on Shift left testing using ATDD/BDD Preferred Qualifications: Working knowledge on Web development using Angular,/ReactJs and Backend API development Knowledge on Docker/Kubernetes and how do we use them for test containerization At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #Nic

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We're seeking a skilled Custom Copilot engineer to join the group of our NCLC Consulting team. You'll be instrumental in designing, developing, and deploying robust, scalable applications leveraging the power of Microsoft Azure and generative AI. This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings. Your Key Responsibilities Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Works with users to capture detailed requirements, translating designs and solution architecture into design specifications Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement Ensures all activities adhere to the relevant processes, procedures, standards and technical design Develop and promote best practices for usage, operations and development Strong analytical and communication skills with intense drive to learn and adopt. Skills and attributes: Design and customize robust AI solutions leveraging Azure AI Services including Azure AI Document Intelligence, Azure AI Vision, Azure AI Language, Azure AI Translator, and Azure OpenAI Service. Build custom AI Agents through Copilot Studio and/or Azure AI Foundry through plugin architecture, API function calling, logic apps, storage of prompts, conversation history (Azure Cosmos DB), Azure Key Vault, Container Apps, Blob Storage, Cosmos DB. Implement intelligent solutions using SDKs like Azure AI Foundry, AutoGen, LangChain and Semantic Kernel. Design multi-step prompt workflows, leverage RAG patterns to integrate LLMs with enterprise data, design intelligent agents that are task-based and/or role-based by using responsible AI principles. Design and implement solutions on Microsoft Azure, including Azure Functions, Azure App Service, logic Apps, Azure SQL Database, Azure Cosmos DB, and Azure Foundry. Fine-tune and optimize AI models by selecting the most appropriate architectures for performance and efficiency. Knowledge of cloud computing and Azure infrastructure. Craft precise and effective prompts to guide AI models and improve their outputs. Monitor and analyse Azure AI costs to ensure efficient resource utilization. Develop and integrate custom tools within AI agents to extend their capabilities. Demonstrate strong expertise in Azure AI Foundry and prompt engineering for building declarative and multi-modal agents. Integrate AI-powered features into full-stack web applications to improve user experience and efficiency. Collaborate with data scientists and machine learning engineers to deploy AI models into production. Stay up-to-date with the latest advancements in .NET Core, Azure, and AI technologies. Adhere to best practices for software development, including code reviews, unit testing, and continuous integration/continuous delivery (CI/CD) and MLOps. Required Skills and Experience: Overall 4+ years of experience in Azure, .NET Core, Python and M365 suite of products. Min 2 years of experience in developing Generative AI applications using Azure OpenAI. Proficiency in languages like C#, Python, JavaScript, and TypeScript. Strong proficiency in Microsoft Azure, including Azure Functions, Azure App Service, Azure SQL Database, Azure Cosmos DB, and Azure AI Studio. Hands-on experience with generative AI technologies, such as OpenAI and Large Language Models (LLMs). Proficiency in prompt engineering and fine-tuning AI models and developing applications for RAG applications. Experience of front-end technologies like HTML, CSS, and JavaScript (React or Angular) for full-stack web application development. Understanding of CI/CD pipelines and DevOps practices. Strong problem-solving, analytical, and communication skills. Ability to work independently and as part of a team. Desired Skills: Knowledge Low code technologies like Logic Apps, Microsoft Power Platform (Power Apps, Power Automate) is good to have. Understanding of cloud-native development principles and microservices architecture. Experience with containerization technologies like Docker and Kubernetes. Understanding of security best practices for cloud applications. To qualify for the role, you must have A bachelor's or master's degree A minimum of 4+ years of experience, preferably background in a professional services firm. Strong knowledge with M365 Suite of products Excellent communication skills with consulting experience preferred Ideally, you’ll also have Analytical ability to manage multiple projects and prioritize tasks into manageable work products. Can operate independently or with minimum supervision What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: The ServiceNow Integration Specialist role is responsible for driving the integration and automated management of major Cloud Service Providers (Azure, AWS, and GCP) using ServiceNow platform. Leading from the front and extensive collaboration is essential – the role requires close cooperation with product and engineering teams to ensure timely adoption, delivery and joint development of any critical feature gaps. The position also involves working closely with cross-functional teams within Digital Technology (DT) to understand their cloud needs and deliver solutions on time. Furthermore, the person in this role contributes to progressive thinking by creating point-of-view documents, white papers, knowledge base articles, and other documentation to make information about ServiceNow Gen AI capabilities more accessible to the broader organization. Qualifications To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, administration, or problem-solving. This may include using AI-powered tools, automating workflows, reviewing AI-related insights, or exploring AI’s potential impact on the function or industry. 8+ years of experience in ServiceNow platform administration, development and integrating it with cloud providers (Azure, AWS and GCP) is a must Hands-on experience in managing ServiceNow CMDB Proven experience in designing, developing, and implementing integrations using various ServiceNow integrations methods – REST, JDBC, MID Servers etc. Solid understanding of API concepts, data formats (XML, JSON), and authentication protocols (OAuth, SAML) Hands-on experience in managing large public cloud environments (Azure, AWS, GCP) and solid understanding of cloud concepts and their integration services Proficiency in scripting languages relevant to ServiceNow (e.g.: JavaScript, GlideScript) Contribute to the overall health, stability, and performance of the ServiceNow platform Assist in platform upgrades, patching, and maintenance activities ServiceNow Certified System Administration (CSA) Certification is highly preferred ServiceNow Certified Implementation Specialist (CIS) in relevant modules (e.g.: IntegrationHub, Service Mapping etc.) is a huge plus Solid hands-on experience in one of the automation tools – Terraform (preferred), Ansible, Puppet etc. Experience with containerization technologies (Docker, Kubernetes) and relational databases (MySQL, Postgres, etc.) Working knowledge of DevOps tools (Jenkins, GitHub, etc.) Experience administering Linux/Windows Operating System Excellent verbal and written communication skills Excellent problem-solving and troubleshooting skills. Ability to understand and communicate complex technical systems Ability to work effectively in a fast-paced, dynamic environment Works well in a team environment Preferred Skills Experience in creating architectural/implementation diagrams and docs is essential Solid understanding and hands-on experience in implementing ServiceNow’s ITOM suite of products Stay up-to-update with the latest ServiceNow features, integration capabilities, and industry best practices Collaborate with cloud infrastructure teams and applications owners to ensure seamless and secure data flow Identify opportunities to automate manual processes through ServiceNow integrations Knowledge of DevOps principles and practices related to integrations Experience with monitoring and logging tools for integration health Experience with security best practice for cloud and platform integrations Experience with ITIL framework Experience in developing Agentic-AI solutions using ServiceNow platform to manage cloud use cases would be indeed special FD21 Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Title: DevOps Engineer We are seeking a skilled and motivated DevOps Engineer to join our SAP SuccessFactors transformation team. You will play a critical role in designing, developing, maintaining, and scaling our Kubernetes-based development and production environments. You will collaborate closely with developers and infrastructure teams to drive automation, streamline CI/CD processes, and continually optimize our development lifecycle. What You’ll Do Design, develop, test, automate, and deliver scalable and resilient containerized environments using Kubernetes. Maintain and enhance development environments for engineering teams in a multi-region setup. Implement and manage CI/CD pipelines, leveraging tools such as Jenkins and GitOps frameworks like ArgoCD. Research, evaluate, and implement DevOps tools, best practices, and Infrastructure as Code (IaC) solutions. Ensure 24/7 service availability, reliability, and high service quality for all development environments. Champion automation and process improvements to boost developer productivity and system efficiency. Collaborate with application developers and infrastructure engineers to understand pain points and deliver solutions that improve their workflows. Take ownership of environment configuration management and version control processes. What You Bring 4-8 years of hands-on experience with Kubernetes, including cluster management, deployment, and troubleshooting. Strong understanding of CI/CD concepts and experience designing and maintaining CI/CD pipelines (preferably Jenkins). Experience with configuration management tools (e.g., Ansible, Terraform, Helm, or similar). Proficiency in scripting or programming with Python or Golang. Solid understanding of containerization and orchestration technologies. Experience maintaining complex, distributed, high-availability systems. Nice to Have Experience with GitOps and ArgoCD SAP Business Technology Platform (SAP BTP) knowledge is a huge plus Familiarity with monitoring, logging, and alerting tools Understanding of cloud environments (AWS, GCP, or Azure) Familiarity with Agile/Scrum methodologies Why Join Us? Be part of a distributed, experienced, and collaborative infrastructure team. Work with the latest DevOps, cloud, container, and automation technologies. Drive real impact on developer productivity and product delivery timelines. Opportunity for continuous learning and career growt Meet the team We are a global infrastructure engineering team responsible for building and maintaining robust development environments that empower developers and accelerate software delivery. Our mission is to enable developer productivity, operational efficiency, and reliability through automation, state-of-the-art tools, and best practices in DevOps. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 430085 | Work Area: Software-Development Operations | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: .