644 Cloud Infrastructure Jobs - Page 4

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieveRead on. Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose "” a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose "” people "”then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you. The duties of a Site Reliability Engineer will be to support and maintain various Cloud Infrastructure Technology Tools in our hosted production/DR environments. He/she will be the subject matter expert for specific tool(s) or monitoring solution(s). Will be responsible for testing, verifying and implementing upgrades, patches and implementations. He/She will also partner with the other service and/or service functions to investigate and/or improve monitoring solutions. May mentor one or more tools team members or provide training to other cross functional teams as required. May motivate, develop, and manage performance of individuals and teams while on shift. May be assigned to produces regular and adhoc management reports in a timely manner. Proficient in Splunk/ELK, and Datadog. Experience with observability tools such as Prometheus/InfluxDB, and Grafana. Possesses strong knowledge of at least one scripting language such as Python, Bash, Powershell or any other relevant languages. Design, develop, and maintain observability tools and infrastructure. Collaborate with other teams to ensure observability best practices are followed. Develop and maintain dashboards and alerts for monitoring system health. Troubleshoot and resolve issues related to observability tools and infrastructure.Bachelor's Degree in information systems or Computer Science or related discipline with relevant experience of 5-8 years Proficient in Splunk/ELK, and Datadog. Experience with Enterprise Software Implementations for Large Scale Organizations Exhibit extensive experience about the new technology trends prevalent in the market like SaaS, Cloud, Hosting Services and Application Management Service Monitoring tools like Grafana, Prometheus, Datadog, Experience in deployment of application & infrastructure clusters within a Public Cloud environment utilizing a Cloud Management Platform Professional and positive with outstanding customer-facing practices "Can-do" attitude, willing to go the extra mile Consistently follows-up and follows-through on delegated tasks and actions Where we're going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it's our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! in the Application and Interview Process UKGCareers@ukg.com

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieveRead on. Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose "” a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose "” people "”then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you. The duties of a Site Reliability Engineer will be to support and maintain various Cloud Infrastructure Technology Tools in our hosted production/DR environments. He/she will be the subject matter expert for specific tool(s) or monitoring solution(s). Will be responsible for testing, verifying and implementing upgrades, patches and implementations. He/She will also partner with the other service and/or service functions to investigate and/or improve monitoring solutions. May mentor one or more tools team members or provide training to other cross functional teams as required. May motivate, develop, and manage performance of individuals and teams while on shift. May be assigned to produces regular and adhoc management reports in a timely manner. Proficient in Splunk/ELK, and Datadog. Experience with observability tools such as Prometheus/InfluxDB, and Grafana. Possesses strong knowledge of at least one scripting language such as Python, Bash, Powershell or any other relevant languages. Design, develop, and maintain observability tools and infrastructure. Collaborate with other teams to ensure observability best practices are followed. Develop and maintain dashboards and alerts for monitoring system health. Troubleshoot and resolve issues related to observability tools and infrastructure.Bachelor's Degree in information systems or Computer Science or related discipline with relevant experience of 5-8 years Proficient in Splunk/ELK, and Datadog. Experience with Enterprise Software Implementations for Large Scale Organizations Exhibit extensive experience about the new technology trends prevalent in the market like SaaS, Cloud, Hosting Services and Application Management Service Monitoring tools like Grafana, Prometheus, Datadog, Experience in deployment of application & infrastructure clusters within a Public Cloud environment utilizing a Cloud Management Platform Professional and positive with outstanding customer-facing practices "Can-do" attitude, willing to go the extra mile Consistently follows-up and follows-through on delegated tasks and actions Where we're going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it's our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! in the Application and Interview Process UKGCareers@ukg.com

Were looking for a highly skilled Principal Technical Specialist to lead complex solutions and contribute to excellence across our cloud platforms. In this role, you will lead cross-functional teams, drive technical discussions, and implement enhancementsin a dynamic, agile environment. You have: Bachelors or masters degree in computer science or a related field and 812 years of software development experience, with a focus on cloud platforms. AdvancedworkingknowledgeofObject-OrientedPython,Django,RESTfulinterfaces. Strong experience in system design, architecture, and cloud infrastructure (Docker/Podman, Kubernetes, Helm charts). Ability to decompose complex problems and provide clear, actionable solutions. Good to have: BackgroundinProductdesignandDevelopment,ProductSecurity,complianceandauditisaplus. KnowledgeofCloudarchitectureanddeployment Hands-on experience in development activities such as requirement analysis, design, coding, and unit testing KnowledgeofSAFe/Agile/Scrumdevelopmentmethodology Lead and guide the team in technical discussions. Analyse and decompose requirements. Work with architects and developers in other applications and define interfaces and workflows. Design and develop essential enhancements and new features per the system roadmap on time and with high quality. Communicate and present to internal and external audiences.

As an Applied R&D Software Engineer, you will be an integral part of our Product & Engineering, Subscriber Signaling and Policy - Registers team. You will focus on deepening your understanding of Subscriber Data Management, protocols, and the latest cloud and software technologies. You will also gain insight into important product aspects such as performance, ease of use, robustness, and security. We take a pragmatic approach to software development, believing that technology should ultimately serve the purpose of creating exceptional products. We encourage you to look ahead, uncover new opportunities, and contribute to driving innovation while applying your expertise in software engineering to build solutions that make a real impact. You have: 7 Years of experience in Functional testing withPython/ROBOT scripting knowledge or hands on development experience with Advanced C++ programming & design patterns Knowledge in Analysis, Design, Development, module testing, unit testing & functional testing and familiar with debugging and memory profiling tools Experience in - Cloud Infrastructure (OpenStack/VMware), & cloud native technologies Docker & Kubernetes It would be nice if you also had: Proven exposure of protocol functional tests, automation and preferable exposure to performance/Load and Stress tests/tools. 2G/3G/4G/5G Core Network knowledge is desired, preferable to have knowhow about HLR, HSS, UDM, EIR & exposure to 3GPP standards. Demonstrates independence and raises innovative ideas. Understanding of performance & robustness aspects of telecom products, preferably core products. Realization (Analysis, Development, Implementation) of Registers features, customer issues resolutions, enhancements, change requests with Analysis, designing frameworks, Scripting, Verification & leading team. Technical consultation on development & testing activities of Registers Network Functions including Architecture. Handling of Feature delivery & maintenance topics. Responsible for the product quality & deliverables for new features and handling customer issues. Learn to perform high-level and low-level design of the component/functional area. Take ownership of end-to-end quality assurance of features/components

Key Skills: Cloud Infrastructure, AWS, Azure, Design Roles and Responsibilities: Design and implement scalable, secure, and high-performing cloud solutions using AWS and Azure services and technologies. Lead the architectural design and development of cloud-based applications, ensuring they meet business requirements, performance objectives, and industry best practices. Collaborate with cross-functional teams, including developers, system administrators, and project managers, to design and deliver integrated solutions that align with business goals. Provide technical guidance and mentorship to junior architects and engineers, promoting knowledge sharing and skill development within the team. Conduct comprehensive assessments of existing infrastructure and applications, identifying areas for optimization, migration, or consolidation to the AWS platform. Develop and maintain architectural standards, guidelines, and documentation, ensuring compliance with security, regulatory, and governance frameworks. Stay updated with the latest AWS services, features, and industry trends, evaluating their potential impact and recommending relevant solutions to stakeholders. Collaborate with stakeholders to define project scopes, objectives, and timelines, providing accurate estimations and resource planning for successful project delivery. Participate in the evaluation and selection of third-party tools, services, and frameworks to enhance the AWS ecosystem and improve operational efficiency. Act as a subject matter expert in AWS architecture and assist in resolving complex technical challenges and issues. Skills Required: Development experience with AWS SDKs for backend applications/services in Python or Java or C# or Go is a must. Experience in architecting and designing cloud solutions with strong knowledge of architectural patterns, best practices, and methodologies for building scalable and resilient cloud applications. Proficient in cloud security principles and data protection techniques in the AWS environment such as encryption at rest and in transit. Demonstrated ability to lead and drive large-scale cloud migration or transformation projects, from assessment and planning to implementation and optimization. Excellent problem-solving skills, with the ability to analyze complex systems and propose innovative solutions to meet business requirements. Strong communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders. Education: Bachelor's or master's degree in computer science, Information Technology, or a related field

Greetings from PVT LTD Immediate Openings on# AWS CLOUD ADMIN_Panindia_Contract 6+ Years AWS CLOUD ADMINPanindia PeriodImmediate. TypeContract Description AWS Infra Services VPN CDN VPC EC2 S3 RDS IAM SNS. Compute AWS Infra with Cloud Formation Templates and Auto Scaling Policies. Compute EBS extend/modify Snapshots and Restoration and data backups. Daily AMI Backups and database AWS Instances for Backup and DR purposes. Compute S3 (Create Buckets Upload/Download files) Backup of S3 Buckets. Compute EFS as File System and mount shared systems (VMs) as per the Environment. Compute and Provision RDS (Database instance Performance parameter groups) Instances. Compute Key Management System for EBS S3 Git Secret and Access Keys. Compute Customized IAM Roles and Policies for AWS IAM Users Privileges. Virtualization with Docker ECS ECR for high availability of Applications. Monitor the AWS Infrastructure with CloudWatch email alerts and SNS notifications. Configure and fine-tune cloud infrastructure systems (account/regions/zones etc.) Develop scripts for automating Cloud/server tasks Establish and improve metrics monitor cloud AWS utilization of resources using CloudWatch Perform on premise resources backup by utilizing AWS Services Working as Cloud Administrator on Microsoft Azure involved in configuring virtual machines storage accounts resource groups. Managing Windows 2016 2012 and Linux (RHEL Ubuntu and SuSE) servers Managing day to day activity of the cloud environment supporting development teams with their requirements. Additional knowledge in VMware Active directory WSUS Firewall and Symantec will be added advantage AWS Application Migration Services AWS Server Migration Services AWS ADS Agents AWS MGN Agents AWS CloudFormation Terraform Templates

SRE Lead Role Description: We are seeking an experienced SRE Strategist to lead the reliability and operational excellence agenda for our Enterprise Data Platforms spanning GCP cloud-native systems. This strategic leadership role will help instill Google’s SRE principles across diverse data engineering teams, uplift our platform reliability posture, and spearhead the creation of a Centre-of-Excellence (CoE) for SRE. The ideal candidate will possess a deep understanding of modern SRE practices, demonstrate a proven ability to scale SRE capabilities in large enterprises, and evangelise a data-driven approach to resilience engineering. Key Responsibilities: Define and drive SRE strategy for enterprise data platforms on GCP, aligning with business goals and reliability needs. Act as a trusted advisor to platform teams, embedding SRE mindset, best practices, and golden signals into their SDLC and operational processes. Set up and lead a Site Reliability Engineering CoE, delivering reusable tools, runbooks, blueprints, and platform accelerators to scale SRE adoption across the organisation. Partner with product and platform owners to prioritise and structure SRE backlogs, formulate roadmaps, and help teams move from reactive ops to proactive reliability engineering. Define and track SLIs, SLOs, and error budgets across critical data services, enabling data-driven decision making around availability and performance. Drive incident response maturity, including chaos engineering, incident retrospectives, and blameless postmortems. Foster a reliability culture through coaching, workshops, and cross-functional forums. Build strategic relationships across engineering, data governance, security, and architecture teams to ensure reliability is baked in, not bolted on. Required Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or related discipline. 3+ years in SRE leadership or SRE strategy roles. Strong familiarity with Google SRE principles and practical experience applying them in complex enterprise settings. Proven track record in establishing and scaling SRE teams. Experience with GCP services like Cloud Build, GCS, CloudSQL, Cloud Functions, and GCP logging & monitoring. Deep experience with observability stacks such as Prometheus, Grafana, Splunk, and GCP native solutions. Skilled in Infrastructure as Code using tools like Terraform, and working knowledge of automation in CI/CD environments. Key Competencies & Skills: Strong leadership, influence without authority, and mentoring capabilities. Hands-on scripting and automation skills in Python, with secondary languages like Go or Java a plus. Familiarity with incident and problem management frameworks in enterprise environments. Ability to define and execute a platform-wide reliability roadmap in alignment with architectural and business objectives. Nice to Have: Exposure to secrets management tools (e.g., HashiCorp Vault). Experience with tracing and APM tools like Google Cloud Trace or Honeycomb. Background in data governance, data pipelines, and security standards for data products.

Job Description The role involves maintaining cloud infrastructure, troubleshooting system and network issues, managing backups and disaster recovery, and ensuring security and performance across hybrid environments. Provide technical support for Linux/Windows servers and cloud platforms including AWS and Oracle Cloud Infrastructure (OCI), ensuring high performance, reliability, and security across all systems. Key Responsibilities Deploy, configure, and manage cloud infrastructure on AWS and OCI. Manage AWS services: EC2, S3,RDS, IAM, CloudWatch, VPC, Route 53, WAF, etc. Manage OCI services: Compute instances, Object Storage, VCN, Load Balancer, VPN, and Identity Domains. Monitor and troubleshoot cloud service performance issues and cost spikes. Implement and manage cloud security configurations including WAF, Security Lists, NSGs, IAM Policies, etc. Automate backups, patching, and infrastructure tasks using scripts or tools. Perform cost optimization, tagging, and budget tracking across cloud accounts. Provide support for hybrid connectivity (e.g., Site-to-Site VPN) Database management Provide L2/L3 support for Linux (CentOS/Ubuntu/RHEL) and Windows Server (2016/2019/2022). Perform routine maintenance tasks such as patching, monitoring, disk space and CPU/memory checks. Troubleshoot OS, hardware, and application-level issues on virtual servers. Implement server hardening, vulnerability remediation, and compliance best practices. Maintain and monitor server logs and system health dashboards. Manage DNS and certificate renewals (Let's Encrypt / AWS ACM / OCI Certificates). Manage and monitor backup jobs Perform DR drills and implement high-availability and failover strategies. Maintain documentation for DR plans and conduct regular recovery testing. Implement alerting and escalation processes for server/cloud incidents. Work with internal team for deployments and incident resolution. Participate in change management and review processes. Maintain SOPs and detailed technical documentation for all support processes. Support IT audits and compliance requirements (ISO, SOC, etc.). Perform AWS/OCI Well-Architected Reviews and recommend improvements.

7+ years of professional DevOps / production operations experience. 5+ years of Cloud Native application delivery experience. Strong Hands-on experience with CI/CD tools like GitLab, GitHub, Jenkins, etc., Intimate knowledge of public cloud infrastructures (GCP - Preferred, AWS, Azure). Hands-on experience working on core Cloud services Kubernetes, Compute, Storage, Network, Virtualization, Identity and Access Management (IAM). Expert level in Current technology Stack Helm, K8S, Istio, GCP, AWS, GKE, EKS, Terraform, SRE/DevOps practices or equivalent. Strong proven experience in Infrastructure as Code (IaC), to be responsible for building robust platforms using automation. Experience building automation and deploying high quality software with test frameworks and CI/CD, Progressive Delivery. Strong development experience in one or more programming languages - Python, Terraform, Golang, Java, etc. Advanced knowledge of Linux based systems and runtimes. DevOps mindset and familiarity with the concept of Site Reliability Engineering – inherent sense of ownership through the development and deployment lifecycle. You understand what it takes to run mission critical software in production. Ability to prioritize tasks, work independently and work collaboratively in an agile environment.

5+ years of professional DevOps / production operations experience. 3+ years of Cloud Native application delivery experience. Hands-on experience with Kubernetes, CI/CD tools like GitLab, TeamCity. Intimate knowledge of public cloud infrastructures (GCP - Preferred, AWS, Azure). Hands-on experience working on core Cloud services compute, storage, network, virtualization, Identity and Access Management (IAM). Experience in Infrastructure as Code (IaC), to be responsible for building robust platforms using automation. Knowledge of Linux based systems and runtimes. Development experience in one or more programming languages - Python, Terraform, Java, etc. Experience level in Current technology Stack Helm, K8S, Istio, GCP, AWS, GKE, EKS, Terraform, SRE/DevOps practices or equivalent. Experience working with at least 1 or more Cloud Provider automation tools.

Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

1. Conduct vulnerability scan using Prisma's cloud vulnerability scanning features to identify vulnerabilities in cloud resources . 2. Assess and monitor security posture of Kubernetes clusters, including network policies, pod configurations and container runtime security. 3. Leverage Prisma cloud's automated vulnerability risk scoring to evaluate severity of vulnerabilities 4. Work with teams to prioritize vulnerabilities based on severity, exploitability & potential business impact. 5. Ensure organization's cloud infrastructure complies with industry standards 6. Use Prisma cloud to scan Kubernetes clusters and container registries for known vulnerabilities and misconfigurations 7. Create vulnerability reports that detail discovered vulnerabilities, risk analysis and remediation actions.

Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact. Role Overview:. We are looking for a Backend Engineer who can architect and build scalable, performant, and secure APIs and services. Youll work closely with frontend, DevOps, and product teams to deliver high-impact backend systems that power critical features across our platform. The ideal candidate has deep experience with backend frameworks, databases, API design, and cloud infrastructure "” and knows how to build reliable systems that scale. Responsibilities:. Design, build, and maintain robust, scalable RESTful or GraphQL APIs. Architect systems with clear data models and clean separation of concerns. Optimize database performance through effective indexing, query tuning, and caching strategies. Implement security best practices including authentication, authorization, rate limiting, and input validation. Write unit, integration, and end-to-end tests to ensure system correctness and reliability. Deploy, monitor, and maintain services in staging and production environments using CI/CD pipelines and observability tools. Collaborate with cross-functional teams including frontend, DevOps, and product to ship high-quality features fast. Troubleshoot performance bottlenecks, memory leaks, and outages in production environments. Required Skills: . Proficiency in one or more backend languagesNode.js (JavaScript/TypeScript), Python, Java, or Go. Experience with backend frameworks like Express/NestJS, Django/FastAPI, Spring Boot, or Gin/Fiber. Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Expertise in API design, including REST, GraphQL, pagination, versioning, and error handling. Familiarity with authentication protocolsJWT, OAuth2, session handling. Solid grasp of security principlesXSS, CSRF, SQL Injection, secure password handling. Experience with Docker for containerization and deploying microservices. Understanding of caching (Redis, CDN), background processing (e.g., BullMQ, Celery), and job queues. Working knowledge of Git workflows and code review practices. Comfortable with CI/CD pipelines and automated deployments using tools like GitHub Actions, Jenkins, or GitLab CI. Nice to Have:. Experience with cloud platformsAWS (EC2, S3, RDS, Lambda), GCP, or Azure. Familiarity with Kubernetes or container orchestration for service scaling. Hands-on with monitoring/logging toolsPrometheus, Grafana, ELK stack, Datadog, Sentry. Experience building event-driven architectures using Kafka, RabbitMQ, or pub-sub systems. Exposure to real-time systems using WebSockets, Socket.io, or Server-Sent Events. Prior work on serverless architectures using AWS Lambda or GCP Functions. Basic experience working with ETL pipelines or streaming data. Integration experience with GenAI/ML inference layers is a plus. Educational Qualifications:. Bachelors or Masters degree in Computer Science, Software Engineering, or a related technical discipline. Equivalent practical experience or contributions to open-source backend projects are also considered.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact. Role Overview:. We are looking for a Backend Engineer who can architect and build scalable, performant, and secure APIs and services. Youll work closely with frontend, DevOps, and product teams to deliver high-impact backend systems that power critical features across our platform. The ideal candidate has deep experience with backend frameworks, databases, API design, and cloud infrastructure "” and knows how to build reliable systems that scale. Responsibilities:. Design, build, and maintain robust, scalable RESTful or GraphQL APIs. Architect systems with clear data models and clean separation of concerns. Optimize database performance through effective indexing, query tuning, and caching strategies. Implement security best practices including authentication, authorization, rate limiting, and input validation. Write unit, integration, and end-to-end tests to ensure system correctness and reliability. Deploy, monitor, and maintain services in staging and production environments using CI/CD pipelines and observability tools. Collaborate with cross-functional teams including frontend, DevOps, and product to ship high-quality features fast. Troubleshoot performance bottlenecks, memory leaks, and outages in production environments. Required Skills: . Proficiency in one or more backend languagesNode.js (JavaScript/TypeScript), Python, Java, or Go. Experience with backend frameworks like Express/NestJS, Django/FastAPI, Spring Boot, or Gin/Fiber. Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Expertise in API design, including REST, GraphQL, pagination, versioning, and error handling. Familiarity with authentication protocolsJWT, OAuth2, session handling. Solid grasp of security principlesXSS, CSRF, SQL Injection, secure password handling. Experience with Docker for containerization and deploying microservices. Understanding of caching (Redis, CDN), background processing (e.g., BullMQ, Celery), and job queues. Working knowledge of Git workflows and code review practices. Comfortable with CI/CD pipelines and automated deployments using tools like GitHub Actions, Jenkins, or GitLab CI. Nice to Have:. Experience with cloud platformsAWS (EC2, S3, RDS, Lambda), GCP, or Azure. Familiarity with Kubernetes or container orchestration for service scaling. Hands-on with monitoring/logging toolsPrometheus, Grafana, ELK stack, Datadog, Sentry. Experience building event-driven architectures using Kafka, RabbitMQ, or pub-sub systems. Exposure to real-time systems using WebSockets, Socket.io, or Server-Sent Events. Prior work on serverless architectures using AWS Lambda or GCP Functions. Basic experience working with ETL pipelines or streaming data. Integration experience with GenAI/ML inference layers is a plus. Educational Qualifications:. Bachelors or Masters degree in Computer Science, Software Engineering, or a related technical discipline. Equivalent practical experience or contributions to open-source backend projects are also considered.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact. Role Overview:. We are looking for a Backend Engineer who can architect and build scalable, performant, and secure APIs and services. Youll work closely with frontend, DevOps, and product teams to deliver high-impact backend systems that power critical features across our platform. The ideal candidate has deep experience with backend frameworks, databases, API design, and cloud infrastructure "” and knows how to build reliable systems that scale. Responsibilities:. Design, build, and maintain robust, scalable RESTful or GraphQL APIs. Architect systems with clear data models and clean separation of concerns. Optimize database performance through effective indexing, query tuning, and caching strategies. Implement security best practices including authentication, authorization, rate limiting, and input validation. Write unit, integration, and end-to-end tests to ensure system correctness and reliability. Deploy, monitor, and maintain services in staging and production environments using CI/CD pipelines and observability tools. Collaborate with cross-functional teams including frontend, DevOps, and product to ship high-quality features fast. Troubleshoot performance bottlenecks, memory leaks, and outages in production environments. Required Skills: . Proficiency in one or more backend languagesNode.js (JavaScript/TypeScript), Python, Java, or Go. Experience with backend frameworks like Express/NestJS, Django/FastAPI, Spring Boot, or Gin/Fiber. Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Expertise in API design, including REST, GraphQL, pagination, versioning, and error handling. Familiarity with authentication protocolsJWT, OAuth2, session handling. Solid grasp of security principlesXSS, CSRF, SQL Injection, secure password handling. Experience with Docker for containerization and deploying microservices. Understanding of caching (Redis, CDN), background processing (e.g., BullMQ, Celery), and job queues. Working knowledge of Git workflows and code review practices. Comfortable with CI/CD pipelines and automated deployments using tools like GitHub Actions, Jenkins, or GitLab CI. Nice to Have:. Experience with cloud platformsAWS (EC2, S3, RDS, Lambda), GCP, or Azure. Familiarity with Kubernetes or container orchestration for service scaling. Hands-on with monitoring/logging toolsPrometheus, Grafana, ELK stack, Datadog, Sentry. Experience building event-driven architectures using Kafka, RabbitMQ, or pub-sub systems. Exposure to real-time systems using WebSockets, Socket.io, or Server-Sent Events. Prior work on serverless architectures using AWS Lambda or GCP Functions. Basic experience working with ETL pipelines or streaming data. Integration experience with GenAI/ML inference layers is a plus. Educational Qualifications:. Bachelors or Masters degree in Computer Science, Software Engineering, or a related technical discipline. Equivalent practical experience or contributions to open-source backend projects are also considered.

We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment.

We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact. Role Overview:. We are looking for a Backend Engineer who can architect and build scalable, performant, and secure APIs and services. Youll work closely with frontend, DevOps, and product teams to deliver high-impact backend systems that power critical features across our platform. The ideal candidate has deep experience with backend frameworks, databases, API design, and cloud infrastructure "” and knows how to build reliable systems that scale. Responsibilities:. Design, build, and maintain robust, scalable RESTful or GraphQL APIs. Architect systems with clear data models and clean separation of concerns. Optimize database performance through effective indexing, query tuning, and caching strategies. Implement security best practices including authentication, authorization, rate limiting, and input validation. Write unit, integration, and end-to-end tests to ensure system correctness and reliability. Deploy, monitor, and maintain services in staging and production environments using CI/CD pipelines and observability tools. Collaborate with cross-functional teams including frontend, DevOps, and product to ship high-quality features fast. Troubleshoot performance bottlenecks, memory leaks, and outages in production environments. Required Skills: . Proficiency in one or more backend languagesNode.js (JavaScript/TypeScript), Python, Java, or Go. Experience with backend frameworks like Express/NestJS, Django/FastAPI, Spring Boot, or Gin/Fiber. Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Expertise in API design, including REST, GraphQL, pagination, versioning, and error handling. Familiarity with authentication protocolsJWT, OAuth2, session handling. Solid grasp of security principlesXSS, CSRF, SQL Injection, secure password handling. Experience with Docker for containerization and deploying microservices. Understanding of caching (Redis, CDN), background processing (e.g., BullMQ, Celery), and job queues. Working knowledge of Git workflows and code review practices. Comfortable with CI/CD pipelines and automated deployments using tools like GitHub Actions, Jenkins, or GitLab CI. Nice to Have:. Experience with cloud platformsAWS (EC2, S3, RDS, Lambda), GCP, or Azure. Familiarity with Kubernetes or container orchestration for service scaling. Hands-on with monitoring/logging toolsPrometheus, Grafana, ELK stack, Datadog, Sentry. Experience building event-driven architectures using Kafka, RabbitMQ, or pub-sub systems. Exposure to real-time systems using WebSockets, Socket.io, or Server-Sent Events. Prior work on serverless architectures using AWS Lambda or GCP Functions. Basic experience working with ETL pipelines or streaming data. Integration experience with GenAI/ML inference layers is a plus. Educational Qualifications:. Bachelors or Masters degree in Computer Science, Software Engineering, or a related technical discipline. Equivalent practical experience or contributions to open-source backend projects are also considered.

We are seeking a highly skilled and experienced Cloud Infrastructure Engineer L3 with a strong background in both AWS and Azure managed services, as well as on-premise infrastructure. The ideal candidate will have a proven track record of designing, deploying, and managing complex, highly available, and secure mixed infrastructure environments. This role requires expertise in integrated security, authentication, access control, software development practices, and critical data protection for consumer information. You will be a key contributor to our infrastructure team, ensuring the reliability, scalability, and security of our cloud and hybrid systems. Key Responsibilities : - Design, implement, and manage highly available, scalable, and secure cloud infrastructure solutions across AWS and Azure, as well as on-premise environments. - Deploy and maintain mixed infrastructure solutions, ensuring seamless integration between on-premise and cloud-based systems. - Implement and enforce robust security measures, including integrated security frameworks, authentication protocols, and access control mechanisms (e.g., AWS IAM policies, Azure RBAC, AWS Network Security Groups, Azure Network Security Groups, WAF). - Develop and maintain infrastructure as code (IaC) using tools like Terraform and Helm for consistent and automated deployments. - Collaborate closely with software development teams to integrate applications with cloud services and ensure infrastructure readiness for new features. - Implement and manage comprehensive data protection strategies for sensitive consumer data, such as electric meter readings and billing information, ensuring compliance and integrity (e.g., AWS KMS, Azure Key Vault). - Design, deploy, and manage monitoring and alerting systems (e.g., Prometheus, Grafana, AWS CloudWatch, Azure Monitor / Log Analytics) to ensure real-time visibility and proactive issue resolution. - Troubleshoot and optimize infrastructure performance, addressing complex issues across network layers (OSI Level 1-7). - Contribute to the continuous improvement of CI/CD pipelines, automation, and DevOps practices (e.g., AWS CodePipeline/CodeDeploy, Azure DevOps Pipelines). - Ensure adherence to IT Security best practices, including CIS Security Framework deployment, SELinux, SUDO Linux, and Windows AD/Azure Entra Domain Services IAM deployment. - Manage and configure network components such as Firewalls (e.g., AWS Network Firewall, Azure Firewall), Network Security Groups, Load Balancers (L3-L7 - e.g., AWS ELB/ALB, Azure Load Balancer/Application Gateway), NAT, PAT, and VPNs (e.g., AWS VPN Gateway, Azure VPN Gateway). - Develop and maintain custom WAF rules (e.g., AWS WAF, Azure WAF, ModSecurity) to protect web applications. - Participate in an Agile development environment, contributing to sprint planning, execution, and reviews. Requirements : - Minimum 5+ years of hands-on experience in cloud infrastructure engineering, with a strong focus on AWS and Azure. - Deep expertise in AWS managed services including but not limited to EC2, S3, VPC, IAM, Lambda, ECS (Elastic Container Service), CodePipeline, CodeDeploy, CloudWatch, KMS, ELB (ALB/NLB), and AWS VPN Gateway. - Strong knowledge of Azure specific managed services including Azure Virtual Machines, Azure Blob Storage, Azure Virtual Network (VNet), Azure Active Directory / Azure RBAC, Azure Functions, Azure Container Instances / Azure App Service (for container deployment), Azure DevOps Pipelines, Azure Monitor / Log Analytics, Azure Key Vault, Azure Load Balancer / Application Gateway, Azure VPN Gateway, Azure Firewall, and Azure Entra Domain Services. - Proven experience in deploying and managing mixed infrastructure environments (on-premise and cloud-based), with a focus on seamless integration and hybrid connectivity. - Solid background in software development, understanding of development methodologies, and ability to collaborate effectively with engineering teams. - Extensive experience with data protection strategies for sensitive consumer data, including encryption, access controls, and compliance. - Expertise in IT Security principles and implementation, including: - CIS Security Framework deployment. - Web Application Firewalls (WAF) in AWS, Azure, and standalone solutions (e.g., ModSecurity with custom rule development). - Network Routing, Firewalls, and VPNs. - Network OSI Model (Level 1-7) understanding. - SELinux and SUDO Linux deployment. - Windows Active Directory and Azure Entra Domain Services IAM deployment. - Experience in LDAP Deployment as a central authentication mechanism for Operating Systems (Windows as AD, Linux as LDAP Auth, Fortinet LDAP auth) and as SSO for WebApp Services. - Experience with Multi-Factor Authentication (MFA) solutions such as Microsoft Authenticator, Google Authenticator, and SMS-based One-Time Passwords (OTP). - Hands-on experience with containerization technologies, specifically Docker and Docker services (e.g., AWS ECS, Azure Container Instances / Azure App Service). - Proficiency in version control systems (e.g., Git) and developing/maintaining CI/CD pipelines (e.g., AWS CodePipeline/CodeDeploy, Azure DevOps Pipelines). - Experience with serverless frameworks and event-driven architecture (e.g., AWS Lambda, Azure Functions). - Strong knowledge of DevOps practices and tools. - Hands-on experience with monitoring and alerting tools such as Prometheus, Grafana, Prometheus Alertmanager (routing alerts via Slack, PagerDuty, email), AWS CloudWatch, and Azure Monitor / Log Analytics. - Experience with infrastructure as code (IaC) tools like Terraform and Helm. - Familiarity with Lightspeed and Udeploy. - Experience working in an Agile development methodology. Preferred Qualifications : - Relevant cloud certifications (e.g., AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer - Professional, Azure Solutions Architect Expert, Azure DevOps Engineer Expert). - Experience with other monitoring tools and observability platforms. - Strong problem-solving skills and the ability to work independently and as part of a team. - Excellent communication and interpersonal skill

: Job TitleServiceNow SRE Support Consultant LocationPune, India Corporate TitleAVP Role Description We are seeking a ServiceNow SRE Support Consultant with 5+ years of experience to ensure the stability, scalability, and reliability of our ServiceNow platform . This role will focus on monitoring, troubleshooting, automation, and performance optimization of the ServiceNow environment while applying SRE and DevOps best practices . The ideal candidate should have a strong background in ServiceNow administration, UNIX/Linux, Windows Server, and cloud infrastructure . What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities ServiceNow Platform Support: Monitor and maintain the health, availability, and performance of the ServiceNow platform. Troubleshoot ServiceNow infrastructure issues , including instance performance, integrations, and database bottlenecks. Collaborate with developers and architects to enhance system stability and optimize workflows. Perform ServiceNow instance upgrades, patching, cloning, and configuration tuning . Incident Management & Troubleshooting: Handle incident response and escalations to resolve ServiceNow-related issues efficiently. Conduct root cause analysis (RCA) and implement long-term fixes. Define and maintain SLOs/SLIs to measure and improve system reliability. Work closely with the ServiceNow support team and infrastructure teams to minimize downtime. System Administration & Automation: Manage ServiceNow MID Servers and integrations with third-party systems. Administer UNIX/Linux, and Windows Server environments supporting ServiceNow. Automate routine administration tasks using PowerShell, Bash, Python, or Ansible . Monitoring & Performance Optimization: Implement and maintain proactive monitoring solutions using Splunk, ELK, Prometheus, Grafana, or ServiceNow Event Management . Optimize ServiceNow database performance, query execution, and API integrations . Perform capacity planning and performance tuning to ensure seamless scalability. Your skills and experience Technical Expertise: 5+ years of experience in ServiceNow administration, support, or SRE roles . Strong knowledge of ServiceNow architecture, modules, and instance management . Experience in UNIX/Linux, and Windows Server administration . Hands-on expertise in scripting (Bash, PowerShell, Python) and automation tools (Ansible, Terraform, Jenkins, Git) . Proficiency in networking (DNS, TCP/IP, Load Balancing, Firewalls) related to ServiceNow. ServiceNow Knowledge: Experience with ServiceNow ITOM (Discovery, Event Management, CMDB, Performance Analytics) . Understanding of ServiceNow upgrades, patching, and instance cloning . Basic knowledge of ServiceNow scripting (JavaScript, REST API, Web Services) . Soft Skills & Collaboration: Strong problem-solving and analytical skills . Ability to work in a fast-paced environment and manage multiple tasks. Excellent communication skills to collaborate with cross-functional teams. Proactive mindset with a focus on automation and continuous improvement . Preferred Qualifications: ServiceNow Certified System Administrator (CSA) or ITOM certifications. Linux (RHCSA, RHCE) or Windows (MCSA, MCSE) certifications. Cloud certifications (AWS, Azure, GCP) are a plus. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

IaaS Strategy & Architecture: PaaS Enablement: CaaS Leadership: Database Management: Automation & Infrastructure as Code: Governance & Compliance: Stakeholder Engagement: Required Candidate profile You'll contribute to the platform's reliability, scalability, and security and support a DevSecOps culture through strong collaboration, infrastructure-as-code practices, and continuous improvement

Manage IT infrastructure, security, and support; oversee networks, AD, EDR, AV, Wi-Fi, SD-WAN, and cloud tools. Lead IT team, ensure compliance, user support, and vendor coordination. Strong in ITIL, project mgmt, security, and strategic planning.

Strong hands on experience in GCP Relevant experience in Terraforms Should have experience in Kubernetes and Devops. Total experience - 7 - 9 years Location - Flexible. Rates - 170 K/M - 180 K/M Design, implement, and maintain CI/CD pipelines using Jenkins, Codefresh, or GitHub Actions. Collaborate with cross-functional teams to identify the areas for process improvement and implement changes using Agile Methodologies. Troubleshoot complex issues related to infrastructure deployment and management on GCP and AWS Platforms. Configure and manage networking components VPCs, subnets, firewalls, load balancers, DNS, and VPNs. Manage IAM roles and policies in AWS and GCP to ensure secure and appropriate access to cloud resources. Handle user, group, and service account permissions, including provisioning, auditing, and troubleshooting access-related issues. Develop and maintain Terraform-based infrastructure and reusable modules in Cloud Environment. Develop and maintain automation scripts using Bash, Python or other relevant scirpint languages. Create and maintain document Standard operating procedures (SOP's) and support guides. Required Skills : Strong understanding of Subnetting, VPCs, Firewalls and network fundamentals. Hands-on experience with at least one major provider(AWS, GCP) Proficiency in infrastructure as code (IAC) tools (Terraform Preffered) Experience with Git-based workflows, Version control and Pull Requests Familiarity with the CI/CD Pipelines and tools (Codefresh Preffered). Experince in any scripting language Bash, Python, or Groovy. Experience with containerization (Docker) and orchestration (Kubernetes - EKS/GKE) Experience with collaboration and ITSM tools like Jira, ServiceNow, and Confluence.Strong troubleshooting and communication skills. IAM ManagementAbility to manage IAM roles, policies, and permissions for users, groups, and service accounts in AWS and GCP. This includes troubleshooting access issues and enforcing least-privilege principles. Education: UGB.Tech/BE, BCA, or B.Sc in any specialization. PGAny postgraduate degree is acceptable. Experience: 38 years of relevant experience in DevOps, cloud infrastructure, and automation.

Strong hands on experience in AWS Relevant experience in Terraforms Should have experience in Kubernetes and Devops. Total experience - 7 - 9 years Location - Flexible. Rates - 170 K/M - 180 K/M : We are looking for a dynamic and experienced DevOps Engineer to join our team. This role focuses on infrastructure provisioning, deployment automation using Infrastructure as Code (IaC), and providing support to both internal teams and customers. You will collaborate closely with development teams, review code, and resolving infrastructure-related issues. This roles also requires a strong foundation in DevOps methodologies, cloud-native technologies, IaC, and networking is essential. Roles & Responsibilities: Design, implement, and maintain CI/CD pipelines using Jenkins, Codefresh, or GitHub Actions. Collaborate with cross-functional teams to identify the areas for process improvement and implement changes using Agile Methodologies. Troubleshoot complex issues related to infrastructure deployment and management on GCP and AWS Platforms. Configure and manage networking components VPCs, subnets, firewalls, load balancers, DNS, and VPNs. Manage IAM roles and policies in AWS and GCP to ensure secure and appropriate access to cloud resources. Handle user, group, and service account permissions, including provisioning, auditing, and troubleshooting access-related issues. Develop and maintain Terraform-based infrastructure and reusable modules in Cloud Environment. Develop and maintain automation scripts using Bash, Python or other relevant scirpint languages. Create and maintain document Standard operating procedures (SOP's) and support guides. Required Skills : Strong understanding of Subnetting, VPCs, Firewalls and network fundamentals. Hands-on experience with at least one major provider(AWS, GCP) Proficiency in infrastructure as code (IAC) tools (Terraform Preffered) Experience with Git-based workflows, Version control and Pull Requests Familiarity with the CI/CD Pipelines and tools (Codefresh Preffered). Experince in any scripting language Bash, Python, or Groovy. Experience with containerization (Docker) and orchestration (Kubernetes - EKS/GKE) Experience with collaboration and ITSM tools like Jira, ServiceNow, and Confluence.Strong troubleshooting and communication skills. IAM ManagementAbility to manage IAM roles, policies, and permissions for users, groups, and service accounts in AWS and GCP. This includes troubleshooting access issues and enforcing least-privilege principles Education: UGB.Tech/BE, BCA, or B.Sc in any specialization. PGAny postgraduate degree is acceptable. Experience: 38 years of relevant experience in DevOps, cloud infrastructure, and automation.