35963 Docker Jobs - Page 48

Company Description Graceful Management Systems (GMS) is revolutionizing the construction industry by addressing common issues such as surprise costs, scheduling delays, and poor communication. The GMS platform uses artificial intelligence to analyze historical and real-time data, helping construction contractors optimize their estimates and schedules. This significantly increases estimating accuracy (up to 95%) and saves contractors up to 35% on labor costs. Role Description Sr. Full Stack Engineer (AI-based SaaS Application) Location: Chennai (Full-Time, On-Site) Role Overview: We are seeking a highly skilled Sr. Full Stack Engineer to join our innovative team in Chennai. In this role, you will be instrumental in designing, developing, and maintaining cutting-edge AI-driven SaaS applications. Your responsibilities will include managing front-end and back-end components, integrating AI technologies, and ensuring optimal application performance. Daily tasks will involve coding, testing, debugging, and collaborating closely with our cross-functional team to deliver state-of-the-art software solutions. You will engage with diverse stakeholders to seamlessly integrate system components and enhance the user experience, enabling our SaaS solutions to leverage advanced AI capabilities effectively. Key Responsibilities: - Design, develop, and maintain front-end and back-end components of AI-based SaaS applications. - Integrate AI technologies and services to enhance product capabilities. - Write clean, efficient, and maintainable code optimized for scalability and performance. - Perform rigorous testing and debugging to ensure reliability and stability. - Collaborate closely with data scientists, product managers, and other stakeholders to deliver cohesive, integrated solutions. - Participate actively in architectural decisions, code reviews, and continuous improvement initiatives. Qualifications: - Proven experience in Back-End Web Development and Full-Stack Development. - Proficiency in Java, Spring Boot, React JS, Azure, MongoDB, PostgreSQL, CI/CD, JSON, Docker, Kubernetes, and Git. - Experience with developing and integrating AI-driven technologies into software applications. - Solid understanding of software architecture, development principles, security standards, performance optimization, automated testing frameworks (JUnit, Jest, Selenium), and best practices. - Excellent analytical, problem-solving skills, adaptability, time management, and meticulous attention to detail. - Ability to mentor junior team members and provide technical leadership. - Ability to work collaboratively and proactively in an on-site, agile team environment. - Strong verbal and written communication skills. - Bachelors degree in Computer Science, Engineering, or related discipline. - Previous experience in the AI industry or developing SaaS applications is highly advantageous. We offer a stimulating work environment focused on innovation and collaboration. Join us in creating impactful AI-powered SaaS solutions!

Role: Linux Administrator Experience: 6+ Years Location: Chennai Mandatory: Linux, GCP, AWS JD: Experience: o 6+ years of experience in cloud security, with a focus on enterprise product software in the cloud. o At least 3+ years of hands-on experience with major cloud platforms (AWS, Microsoft Azure, or Google Cloud Platform). o Proven experience with securing enterprise software applications and cloud infrastructures. o Strong background in securing complex, large-scale software environments with a focus on infrastructure security, data security, and application security. o Hands-on experience with the OWASP Top 10 and integrating security measures into cloud applications. o Experience with Hybrid Cloud environments and securing workloads that span on-premises and public cloud platforms. Technical Skills: o In-depth experience with cloud service models (IaaS, PaaS, SaaS) and cloud security tools (e.g., AWS Security Hub, Azure Security Center, GCP Security Command Center). o Expertise in securing enterprise applications, including web services, APIs, and microservices deployed in the cloud. o Strong experience with network security, encryption techniques, IAM policies, security automation, and vulnerability management in cloud environments. o Familiarity with container security (Docker, Kubernetes) and serverless computing security. o Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or similar tools. o Knowledge of regulatory compliance requirements such as SOC 2, GDPR, HIPAA, and how they apply to enterprise software hosted in the cloud.

About The Opportunity Operating in the dynamic tech and software development industry, we are an innovative digital solutions provider focused on building next-generation mobile and web applications. With a strong emphasis on delivering high-quality, scalable, and secure systems, our team thrives in a collaborative and cutting-edge environment. Join us in India as we expand our team to drive impactful software solutions within a Hybrid work framework. Role & Responsibilities Design and develop robust back-end services using Node.js and dynamic mobile applications with Flutter. Collaborate in an agile setting with cross-functional teams to architect, implement, and optimize full-stack solutions. Integrate RESTful APIs and third-party services to ensure seamless data exchange between front-end and back-end systems. Implement and monitor CI/CD pipelines to promote reliable deployments and high-quality code delivery. Conduct thorough code reviews, troubleshoot issues, and optimize application performance for an optimal user experience. Stay updated with emerging technologies and industry best practices to continuously enhance application architecture and development processes. Skills & Qualifications Must-Have Proven experience in full-stack development with strong proficiency in Node.js for backend and Flutter for mobile applications. Extensive knowledge of RESTful API integration, Git-based version control, and agile development methodologies. Strong problem-solving, analytical, and communication skills paired with attention to detail. Bachelor's degree in Computer Science, Engineering, or a related field. Preferred Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with CI/CD tools, containerization (Docker/Kubernetes), and test-driven development practices. Exposure to modern UI/UX principles and design practices. Benefits & Culture Highlights Flexible Hybrid work environment that supports work-life balance and innovation. Competitive compensation package with ample opportunities for personal and professional growth. A collaborative work culture that values creativity, continuous learning, and team success. If you're a proactive Full Stack Developer with expertise in Node.js and Flutter, eager to work in a progressive tech environment, we would love to hear from you. Apply now and be a part of a team that is reshaping the future of digital experiences. Skills: agile methodologies,ui/ux principles,git,test-driven development,ci/cd tools,node.js,flutter,cloud platforms (aws, azure, google cloud),restful api integration,docker,agile development,kubernetes,full stack development

Kyndryl Software Engineering Bengaluru, Karnataka, India Posted on Jul 19, 2025 Apply now Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you passionate about solving complex problems? Do you thrive in a fast-paced environment? Then there’s a good chance you will love being a part of our Software Engineering – Development team at Kyndryl, where you will be able to see the immediate value of your work. As a Software Engineering - Developer at Kyndryl, you will be at the forefront of designing, developing, and implementing cutting-edge software solutions. Your work will play a critical role in our business offering, your code will deliver value to our customers faster than ever before, and your attention to detail and commitment to quality will be critical in ensuring the success of our products. Using design documentation and functional programming specifications, you will be responsible for implementing identified components. You will ensure that implemented components are appropriately documented, unit-tested, and ready for integration into the final product. You will have the opportunity to architect the solution, test the code, and deploy and build a CI/CD pipeline for it. As a valued member of our team, you will provide work estimates for assigned development work, and guide features, functional objectives, or technologies being built for interested parties. Your contributions will have a significant impact on our products' success, and you will be part of a team that is passionate about innovation, creativity, and excellence. Above all else, you will have the freedom to drive innovation and take ownership of your work while honing your problem-solving, collaboration, and automation skills. Together, we can make a difference in the world of cloud-based managed services. Your Future at Kyndryl The career path ahead is full of exciting opportunities to grow and advance within the job family. With dedication and hard work, you can climb the ladder to higher bands, achieving coveted positions such as Principal Engineer or Vice President of Software. These roles not only offer the chance to inspire and innovate, but also bring with them a sense of pride and accomplishment for having reached the pinnacle of your career in the software industry. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical And Professional Experience 5 years of experience working as a software engineer on complex software projects Excellent coding skills and solid development experience (Java, Python, .Net etc.) with debugging and problem-solving skills Software development methodologies, with demonstrated experience developing scalable and robust software Experienced in relational and NoSQL databases, data mapping, XML/JSON, Rest based web services Knowledge of architecture design - Microservices architecture, containers (Docker & k8s), messaging queues Deep understanding of OOP and Design patterns Preferred Technical And Professional Experience Bachelor's degree in Computer Science, related technical field, or equivalent practical experience Certification in one or more of the hyperscalers (Azure, AWS, and Google GCP) - otherwise, you can obtain certifications with Kyndryl Experience with DevOps tools and modern engineering practices Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address. Apply now See more open positions at Kyndryl

About The Opportunity Operating in the dynamic tech and software development industry, we are an innovative digital solutions provider focused on building next-generation mobile and web applications. With a strong emphasis on delivering high-quality, scalable, and secure systems, our team thrives in a collaborative and cutting-edge environment. Join us in India as we expand our team to drive impactful software solutions within a Hybrid work framework. Role & Responsibilities Design and develop robust back-end services using Node.js and dynamic mobile applications with Flutter. Collaborate in an agile setting with cross-functional teams to architect, implement, and optimize full-stack solutions. Integrate RESTful APIs and third-party services to ensure seamless data exchange between front-end and back-end systems. Implement and monitor CI/CD pipelines to promote reliable deployments and high-quality code delivery. Conduct thorough code reviews, troubleshoot issues, and optimize application performance for an optimal user experience. Stay updated with emerging technologies and industry best practices to continuously enhance application architecture and development processes. Skills & Qualifications Must-Have Proven experience in full-stack development with strong proficiency in Node.js for backend and Flutter for mobile applications. Extensive knowledge of RESTful API integration, Git-based version control, and agile development methodologies. Strong problem-solving, analytical, and communication skills paired with attention to detail. Bachelor's degree in Computer Science, Engineering, or a related field. Preferred Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with CI/CD tools, containerization (Docker/Kubernetes), and test-driven development practices. Exposure to modern UI/UX principles and design practices. Benefits & Culture Highlights Flexible Hybrid work environment that supports work-life balance and innovation. Competitive compensation package with ample opportunities for personal and professional growth. A collaborative work culture that values creativity, continuous learning, and team success. If you're a proactive Full Stack Developer with expertise in Node.js and Flutter, eager to work in a progressive tech environment, we would love to hear from you. Apply now and be a part of a team that is reshaping the future of digital experiences. Skills: agile methodologies,ui/ux principles,git,test-driven development,ci/cd tools,node.js,flutter,cloud platforms (aws, azure, google cloud),restful api integration,docker,agile development,kubernetes,full stack development

About The Opportunity Operating in the dynamic tech and software development industry, we are an innovative digital solutions provider focused on building next-generation mobile and web applications. With a strong emphasis on delivering high-quality, scalable, and secure systems, our team thrives in a collaborative and cutting-edge environment. Join us in India as we expand our team to drive impactful software solutions within a Hybrid work framework. Role & Responsibilities Design and develop robust back-end services using Node.js and dynamic mobile applications with Flutter. Collaborate in an agile setting with cross-functional teams to architect, implement, and optimize full-stack solutions. Integrate RESTful APIs and third-party services to ensure seamless data exchange between front-end and back-end systems. Implement and monitor CI/CD pipelines to promote reliable deployments and high-quality code delivery. Conduct thorough code reviews, troubleshoot issues, and optimize application performance for an optimal user experience. Stay updated with emerging technologies and industry best practices to continuously enhance application architecture and development processes. Skills & Qualifications Must-Have Proven experience in full-stack development with strong proficiency in Node.js for backend and Flutter for mobile applications. Extensive knowledge of RESTful API integration, Git-based version control, and agile development methodologies. Strong problem-solving, analytical, and communication skills paired with attention to detail. Bachelor's degree in Computer Science, Engineering, or a related field. Preferred Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with CI/CD tools, containerization (Docker/Kubernetes), and test-driven development practices. Exposure to modern UI/UX principles and design practices. Benefits & Culture Highlights Flexible Hybrid work environment that supports work-life balance and innovation. Competitive compensation package with ample opportunities for personal and professional growth. A collaborative work culture that values creativity, continuous learning, and team success. If you're a proactive Full Stack Developer with expertise in Node.js and Flutter, eager to work in a progressive tech environment, we would love to hear from you. Apply now and be a part of a team that is reshaping the future of digital experiences. Skills: agile methodologies,ui/ux principles,git,test-driven development,ci/cd tools,node.js,flutter,cloud platforms (aws, azure, google cloud),restful api integration,docker,agile development,kubernetes,full stack development

Company Description Svitla Systems, Inc. is a global digital solutions company with over 20 years of experience, crafting more than 5,000 transformative solutions for clients worldwide. Our mission is to leverage digital, cloud, data, and intelligent technologies to create sustainable solutions for our clients, enhancing their growth and competitive edge. With a diverse team of over 1,000 technology professionals, Svitla serves a range of clients from innovative startups to Fortune 500 companies across 20+ industries. Svitla operates from 10 delivery centers globally, specializing in areas like cloud migration, data analytics, web and mobile development, and more. We are proud to be a WBENC-certified business and one of the largest, fastest-growing women-owned IT companies in the US. Role Description This is a fully remote, full-time, long-term contractual position with one of our clients who is building the next generation of secure, real-time proctoring solutions for high-stakes exams. We’re looking for a Senior ML/AI Engineer to architect, implement, and maintain Azure-based AI models that power speech-to-text, computer vision, identity verification, and intelligent chat features during exam sessions. Responsibilities - Implement real-time speech-to-text transcription and audio-quality analysis using Azure AI Speech. - Build prohibited-item detection, OCR, and face-analysis pipelines with Azure AI Vision. - Integrate Azure Bot Service for rule-based, intelligent chat support. - Collaborate with our DevOps Engineer on CI/CD and infrastructure-as-code for AI model deployment. - Train, evaluate, and deploy object-detection models (e.g., screen-reflection, background faces, ID checks) using Azure Custom Vision. - Develop and maintain skeletal-tracking models (OpenPose/MediaPipe) for gaze-anomaly detection. - Fine-tune Azure Face API for ID-to-headshot matching at session start and continuous identity validation. - Expose inference results via REST APIs in partnership with backend developers to drive real-time proctor dashboards and post-session reports. - Monitor model performance, manage versioning/retraining workflows, and optimize accuracy for edge-case scenarios. Qualifications - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. - 5+ years of professional ML/AI experience, with at least 2 years working on production-grade Azure Cognitive Services. - Strong Python skills plus 3+ years with TensorFlow or PyTorch. - Hands-on experience (1–2 years) with: - Azure AI Speech (speech-to-text, audio analysis) - Azure AI Vision (object detection, OCR, face analysis) - Azure Custom Vision model training and deployment - Azure Face API fine-tuning and biometric matching - Azure Bot Service integration - Solid understanding of CI/CD practices and tools (Azure DevOps, Docker, Kubernetes) with 2+ years of collaboration on AI model deployments. - 2+ years building and consuming RESTful or gRPC APIs for AI inference. - Proven track record of monitoring and optimizing model performance in production. Good to haves - 1+ year with skeletal-tracking frameworks (OpenPose, MediaPipe). - Familiarity with Azure ML Studio, ML pipelines, or MLflow for model versioning and retraining. - Experience with edge-deployment frameworks (TensorFlow Lite, ONNX Runtime). - Background in security and compliance for biometric data (GDPR, PCI-DSS). - Azure AI Engineer Associate or Azure Data Scientist Associate certification. Additional Information -The role is a Fully Remote, Full-Time, Long-Term, Contractual position -The hiring process includes an initial screening by the recruitment team, an HR motivation interview, an internal tech screening, a client technical interview and finally the client management interview -The salary range for this position is 50-70 LPA (INR) -The position needs to be filled on priority, only candidates who have an official notice period (or remaining time on their notice period) of <=30 days will be screened

As a Sr. Full Stack Engineer, you’ll build future-ready solutions across front-end and back-end, driving innovation with modern frameworks, scalable architectures, and cutting-edge technologies in a dynamic, fast-paced environment. Key Responsibilities Collaborate with Product and Design teams to build scalable web/mobile solutions using React.js, JavaScript, TypeScript, and HTML/CSS. Develop and maintain backend services with Java Spring Boot, SQL databases, and RESTful APIs in a microservices architecture. Ensure code quality through CI/CD, containerization with Docker, and Agile practices while troubleshooting and resolving production issues efficiently. Requirement Must have skills: React JS, JavaScript, HTML5, CSS3, Java, Spring Boot, Spring Security, RESTful APIs, Microservices, MySQL/PostgreSQL, Git (GitHub/GitLab). Good understanding of developing cross-platform mobile applications with React Native application development. Good knowledge of Python for back-end development and integration. Mastery of Git and collaborative workflows. Hands-on expertise with AWS services like EC2, S3, Lambda, DynamoDB, and RDS. Bachelor’s degree or equivalent in a relevant field is preferred. ** Preferred : Product-based companies for exposure to scale, performance, and quality architecture. **Accepted : Service-based candidates with solid hands-on product experience and ownership mindset. Job Types: Full-time, Permanent Pay: ₹1,500,000.00 - ₹1,800,000.00 per year Location Type: In-person Schedule: Fixed shift Monday to Friday Ability to commute/relocate: Hyderbad, Telangana: Reliably commute or planning to relocate before starting work (Required) Experience: Full Stack Development: 5 years (Required) Work Location: In person

Pandita AI is a rapidly growing Applied AI startup headquartered in Palo Alto, California , with an Applied AI division based in Mysore, India . We specialize in building domain-specific LLMs , multimodal generative systems , and agentic workflows for real-world problems across scientific computing, document intelligence, and industrial automation. We are looking for a Generative AI Applied Scientist to join our core research team in Mysore. This is a high-impact, high-ownership role for those who thrive at the intersection of deep research , problem discovery , and real-world deployment . Key Responsibilities Proactively identify high-value problem areas where generative AI can deliver measurable impact. Translate ambiguous or emerging needs into well-defined ML tasks and deliver production-grade solutions . Design and develop custom generative models (e.g., Transformers, LLMs, Diffusion Models, VAEs). Own the end-to-end lifecycle of model development — from prototyping to cloud/API deployment . Good communication skills that involve being able to talk to customers, identify problem statements, and communicate impactful results. Collaborate across research, product, and engineering teams to embed generative AI into vertical solutions. Required Qualifications PhD or Masters with Thesis and 5+ years in Computer Science, Machine Learning, AI, or a closely related field. Strong research track record with publications in top-tier conferences (e.g., IEEE TPAMI, CVPR, ICML, ICLR, NeurIPS, ACL ). Expertise in deep generative models , representation learning , and probabilistic methods . Experience in building models that solve real-world problems and can be scaled into production systems . Fluency in Python and modern ML stacks (e.g., PyTorch, JAX, Hugging Face). Willingness to work onsite in Mysore and collaborate across time zones with the US-based HQ. Involves travel about 25-50% to client locations. Preferred Qualifications Experience in LLM fine-tuning , multimodal systems , or diffusion-based generation . Familiarity with retrieval-augmented generation , causal inference , or workflow agents . Experience deploying models via Docker, ONNX, or cloud-native APIs (AWS/GCP). A track record of discovering novel application areas and developing first-of-their-kind solutions. What We Offer A fast-paced startup environment backed by cutting-edge research and global customers. ESOPs/Equity and competitive compensation. Access to high-performance compute (A100s, H100s), internal datasets, and modern MLOps tooling. Clear runway for career growth , technical leadership , and IP ownership . A collaborative and ambitious team working on some of the most important problems in applied AI — from Mysore and Palo Alto .

About Pandita AI Solutions Pandita AI Solutions is a rapidly growing AI startup with headquarters in Palo Alto, CA and a thriving engineering division in Mysore, India . We are pioneers in developing generative AI systems, foundation models, and multimodal applications that solve real-world problems across industries like healthcare, scientific computing, and document intelligence. We’re now looking to automate our internal operations using cutting-edge agentic AI and LLM-driven tools. This effort will be led by the founding team in close collaboration with a dedicated Generative AI Engineer , who will help implement intelligent automation — and later scale it for external clients and products . Key Responsibilities Work closely with the leadership team to map internal processes that can benefit from AI-based automation (e.g., document handling, research synthesis, client onboarding, code generation, workflow orchestration). Build internal tools using LLMs and agent frameworks (LangChain, OpenAI Functions, AutoGen, CrewAI, etc.) for semi-autonomous task execution. Prototype, test, and refine agentic applications that integrate with internal systems (e.g., Notion, Slack, GitHub, Airtable, email, databases). As the automation matures internally, support the transition to external automation offerings for clients across domains. Maintain a portfolio of your work in GitHub, and contribute reusable components to the broader engineering team. Minimum Qualifications Master’s degree in Computer Science, AI, Data Science, or a related technical field. Solid programming skills in Python and experience building backend services, APIs, or automation tools. Demonstrated ability to build and maintain agent-based apps using tools like LangChain, CrewAI, LlamaIndex , or custom orchestration frameworks. A strong GitHub portfolio of previous automation projects or agentic AI applications (personal or professional). Familiarity with REST APIs, cloud services (AWS/GCP), and tools like Docker, FastAPI, or Streamlit. Preferred Qualifications Experience integrating LLMs with external APIs and multi-step workflows (e.g., form parsing + summarization + ticket generation). Familiarity with tools like Zapier , Make , Airflow , or custom workflow engines . Understanding of retrieval-augmented generation (RAG) , embeddings, and prompt engineering best practices. Publications in International conferences such as IEEE, ICML, NIPS Entrepreneurial mindset with a willingness to explore ambiguous spaces and iterate rapidly. What We Offer A unique opportunity to work directly with founders and AI researchers on defining the next era of automation. A fast-paced, early-stage startup culture with a focus on delivery, ownership, and learning . ESOPs , competitive compensation, and access to high-end compute infrastructure. Long-term growth opportunity to lead automation efforts both internally and across external enterprise deployments .

Position: MERN Stack Developer Location: Onsite - Mumbai Employment Type: Full-Time Experience Required: 1 to 3 years About Nurdd Nurdd is an AI-powered marketing attribution platform built for the modern influencer economy. We help brands understand what actually drives performance in creator-led campaigns through advanced data tracking, attribution models, and real-time insights. Our systems enable brands to make ROI-driven decisions while eliminating inefficiencies in influencer marketing. We’re building scalable, intelligent infrastructure that powers the future of brand-creator collaboration—and we’re looking for engineers who can bring that vision to life. Role Overview We are hiring a MERN Stack Developer to join our engineering team. You will be responsible for developing and maintaining backend services and full-stack features that support our attribution engine. The ideal candidate will be confident in both frontend and backend development using MongoDB, Express.js, React.js, and Node.js, with experience in building scalable APIs and integrating AI-based services. Responsibilities Design, develop, and maintain web applications using the MERN stack Build RESTful and GraphQL APIs to power frontend and mobile apps Work closely with the AI/ML team to integrate model outputs and analytics Optimize data storage and retrieval using MongoDB for large-scale attribution data Implement secure, scalable, and modular backend architecture on AWS or similar platforms Collaborate with frontend developers to deliver seamless end-to-end product experiences Write clean, efficient, and well-documented code Participate in code reviews and continuously improve development workflows Requirements 1 to 3 years of hands-on experience with the full MERN stack Strong proficiency in Node.js, Express.js, React.js, and MongoDB Experience with building and consuming REST/GraphQL APIs Familiarity with cloud platforms (preferably AWS) for deployment and scaling Working knowledge of Git and collaborative development workflows Ability to translate business logic into scalable backend services Strong debugging and problem-solving skills Preferred Skills Experience with Firebase Authentication, AWS Lambda, or EC2 Exposure to AI/ML-driven applications or analytics dashboards Understanding of authentication, authorization, and data privacy best practices Familiarity with Docker, CI/CD pipelines, or serverless architecture Why Work With Us Be part of a product team solving attribution and performance measurement at scale Work in a fast-moving, technically challenging environment with high ownership Join an early-stage team building the next-gen stack for the creator economy

Role: Devops Engineer / Java Experience: 4-6 Years Job location – Noida with 03 months of on-site training in Singapore Functional Area: Java + DevOps + Kubernetes + AWS/cloud JOB DESCRIPTION: About the Role: We are seeking a highly motivated DevOps Engineer to join our team and play a pivotal role in building and maintaining our cloud infrastructure. The ideal candidate will have a strong understanding of DevOps principles and practices, with a focus on AWS, Kubernetes, CI/CD pipelines, Docker, and Terraform. Working on a Java scripting Language is must for design, development. Responsibilities: • Cloud Platforms: Design, build, and maintain our cloud infrastructure primarily on AWS. • Infrastructure as Code (IaC): Develop and manage IaC solutions using tools like Terraform to provision and configure cloud resources on AWS. • Containerization: Implement and manage Docker containers and Kubernetes clusters for efficient application deployment and scaling. • CI/CD Pipelines: Develop and maintain automated CI/CD pipelines using tools like Jenkins, Bitbucket CI/CD, or ArgoCD to streamline software delivery. Automation: Automate infrastructure provisioning, configuration management, and application deployment using tools like Terraform and Ansible. • Monitoring and Troubleshooting: Implement robust monitoring and alerting systems to proactively identify and resolve issues. • Collaboration: Work closely with development teams to understand their needs and provide solutions that align with business objectives. • Security: Ensure compliance with security best practices and implement measures to protect our infrastructure and applications. Qualifications: • Bachelor’s degree in computer science, Engineering, or a related field. • Strong proficiency in AWS services (EC2, S3, VPC, IAM, etc.). • Experience with Kubernetes and container orchestration. • Expertise in Java coding, CI/CD pipelines and tools (Jenkins, Bitbucket CI/CD, ArgoCD). • Familiarity with Docker and containerization concepts. • Experience with configuration management tools (Terraform, Cloudformation). • Scripting skills (Java, Python, Bash). • Understanding of networking and security concepts

Senior Backend Developer - AI/ML Platform **Discvrai** • Full-time • Remote/Hybrid • Gurugram, India **₹6,00,000 - ₹6,00,000 per year** ### About Discvrai Discvrai aims to transform how users find and understand information. We harness AI to deliver trustworthy, deep insights, simplifying the synthesis of complex data. Our platform features an AI Search Agent for quick, relevant results and specialized deep research capabilities, especially in US equities. Additionally, we offer a growing library of interactive, AI-generated articles across various domains, enabling seamless and in-depth exploration. ### Role Overview We're seeking a talented Senior Backend Developer to join our innovative AI-driven platform. You'll be instrumental in building robust, scalable backend systems that power our AI search capabilities and financial research tools. This role offers the flexibility of remote/hybrid work while contributing to cutting-edge AI applications. ### Key Responsibilities • Design and develop high-performance backend systems using **Python** • Manage and optimize **MongoDB** and **PostgreSQL** databases for large-scale data processing • Integrate and implement **Generative AI** models and APIs into our platform • Build RESTful APIs and microservices architecture • Collaborate with AI/ML teams to deploy and scale Gen-AI solutions • Ensure data security, performance optimization, and system reliability • Work closely with frontend developers and product teams • Troubleshoot, test, and deploy backend applications ### Required Qualifications • **2-5 years** of backend development experience • Strong proficiency in **Python** and its frameworks (FastAPI, Django, Flask) • Hands-on experience with **MongoDB** and **PostgreSQL** • Practical experience with **Generative AI** tools, APIs, and model integration • Knowledge of RESTful API design and microservices architecture • Experience with cloud platforms (AWS, GCP, Azure) • Understanding of AI/ML workflows and data pipelines • Strong problem-solving skills and attention to detail ### Preferred Qualifications • Experience with vector databases and AI embeddings • Knowledge of LangChain, OpenAI APIs, or similar AI frameworks • Familiarity with financial data and equity research • Experience with Docker, Kubernetes, and CI/CD pipelines • Previous experience in AI/ML product development ### What We Offer • **Competitive salary**: ₹6 LPA • **Flexible work environment**: Remote/Hybrid options • Opportunity to work with cutting-edge AI technology • Collaborative and innovative team culture • Professional growth in the rapidly evolving AI space • Impact on how users discover and understand complex information ### Work Arrangement This position offers flexibility with remote work options and hybrid arrangements. Our office is located in Gurugram for those who prefer in-person collaboration. **Ready to shape the future of AI-powered information discovery? Apply now!*

Summary The InfraOps Engineer is accountable for the operational stability, scalability, and performance of PayTabs’ cloud-native platforms and application infrastructure across diverse business domains. The role involves hands-on management of incident response, root cause analysis, and environment reliability using Infrastructure as Code (IaC) principles. Responsibilities include maintaining CI/CD pipelines, automating environment provisioning, and enforcing change control policies. A strong focus is placed on proactive monitoring, performance tuning, and cost optimization with any cloud platform. The engineer also collaborates closely with development and security teams to ensure compliance, resilience, and continuous delivery across production and non-production environments. Key Responsibilities Lead PCI DSS certification process in coordination with external auditor. Expected to establish automation and systems management tools that make it easier to scale rapidly growing business. Re-creation, analysis, troubleshooting, and diagnosis of incidents relating to platforms and/or application environments. Conduct infrastructure security assessment. Execution of application and/or platform changes, releases, and service requests in supported environments. Liaise with appropriate teams for the development of preventive and corrective actions. Responding to automated alerts on the health and security of the systems. Executing scheduled or unscheduled tasks relating to operational maintenance and monitoring of application environments. Performing audits and analysis of application environments for the purpose of ensuring proper configuration management and consistency. Identifying dependencies and pre-requisites for the solution and validation of non-functional attributes of the application environment design. Integrating new infrastructure services based on designs, and participating in automation, consolidation, and centralization projects. Ensure all work is carried out and documented in accordance with the required standards, methods, and procedures. Key Competencies/Skillsets Experience in both Azure and AWS. Network Administration - Firewall management, network set up from scratch, Linux (Ubuntu preferable), nginx (mandate), SSL (mandate) Security- PCI experience (preferable-optional), Linux Hardening Specialization Any monitoring and alerting tool including defining the Log based alert rules (Grafana, Loki stack is preferable) Knowledge of penetration testing & Vulnerability assessment. Have good experience in bash scripting. Implementation experience with security solutions such as: WAF, IPS, SIEM, LDP. Good knowledge of PCI DSS standard. Strong knowledge of internet standards and protocols including TCP/IP. Knowledge in Docker, Docker Swarm & Kubernetes CI/CD tools (Preferably Bitbucket based CI/CD) Preferred Education and Experience Bachelor’s degree in computer science, engineering, and information systems. Requires 4-6 years of qualifying work experience or real time project

Job Description Responsible for the operation of production environments, including systems and databases, supporting critical business operations. Maintain Availability, Scalability, and Efficiency of Oracle Cloud Services. Solve complex infrastructure problems. Handle customer incident tickets and/or deploy software in test or production systems, and or perform testing on test systems or production systems. You will be required to do RCA when possible; if the issue is complex, beyond your knowledge or skills, escalate to developers in team. It’s a critical role to help with availability, scalability, and efficiency of Oracle products and services. Help manage Oracle standards, and methods for large-scale distributed systems. If needed, help facilitate service capacity planning and demand forecasting, software performance analysis, and system tuning. Description RESPONSIBILITIES At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Compute is one of the core organisations within OCI. We are responsible for providing Compute power i.e. VMs and BMs. Cloud pretty much cannot exists without our org. The Compute org comprises of a family of critical foundational infrastructure services that drive OCI’s hardware lifecycle activities Work with product team on the shared full stack ownership of a collection of services and/or technology areas. Understand the end-to-end configuration, technical dependencies, and overall behavioural characteristics of production services. Responsible for the mitigating critical customer incidents, or deployments or testing required to improve security, performance, availability, and scalability of service. Authority for end-to-end performance and operability. Partner with development teams in meeting SLA to unblock customers. Articulate technical characteristics of services and technology areas and guide Development Teams to engineer and add premier capabilities to the Oracle Cloud service portfolio. Understand and communicate the scale, capacity, security, performance attributes, and requirements of the service and technology stack. Demonstrate clear understanding of automation and orchestration principles. Act as ultimate escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs). Utilise a deep understanding of service topology and their dependencies required to troubleshoot issues and define mitigations. Understand and explain the effect of product architecture decisions on distributed systems. Professional curiosity and a desire to a develop deep understanding of services and technologies. Responsible for the operation of production environments, including systems and databases, supporting critical business operations. Will perform administration and analysis for multiple production environments and recommend new and novel solutions to improve availability, performance, and supportability. This is an opportunity to bring a combination of deep technical knowledge with administration/analysis knowledge of Oracle's Cloud Infrastructure to provide escalation support to a wide range of complex production environment problems related to immense growth, scaling, leveraging the cloud, extremely high performance, and high availability requirements. Responsibilities Install, monitor, maintain, support, and optimize all production server hardware and software. Provide escalated technical support for complex technical issues which may include leading problem management cases and providing management status. Coordinate escalated support cases and lead appropriate internal technical resources and/or third party vendors to resolution and coordinate a storage infrastructure of Oracle system and database appliances. Responsible for Oracle production environments; assist with server operating system and application upgrades, bug fixes, and patching; and work on standardization projects for both hardware and software under the Oracle technology stack while providing consistent system uptime as expected in a Cloud environment. Provide on-call support, on a rotating basis. Responsibilities include but not limited to Incident Management Support and troubleshooting of Staging/Production environments Response and Resolve incidents as per SLA's Organise, Anticipate, Plan and work as On-Call in shifts for multiple services (Open to work in shifts & shows flexibility) Maintain Service High Availability Release Management Test and Deploy solutions and automate to replace manual processes Build and maintain deployment tools/procedures Zero downtime deployments and a high availability mindset Define and build innovative solution methodologies and assets around infrastructure, cloud migration and deployment operations at scale. Work with service teams to resolve complex issues that require troubleshooting and knowledge of code. Keep documentation up to date and resolving similar tickets with lower turnaround time and within SLA Ensure production security posture Ensure monitoring is robust and effective Change Management Perform Root Cause Analysis Required Skills: 5+ years overall experience in IT industry Minimum 4 years of experience as a Sys Admin/Support Strong systems architecture skills Strong Linux administration (Understanding of different Hardware family) Virtualisation Technologies Scripting Language (Python/Bash/Shell etc, basic understanding of Java / Go will be good to have) Understanding of Networking, Cloud Computing, Load Balancers Hands on experience at Monitoring/Instrumentation tools (Prometheus/Grafana, new relic, elastic or equivalent). Experience with maintaining high scale deployments, managing high throughput and IO intensive services. Strong knowledge of system configuration tools such as Chef, Terraform, GIT, Jenkins/Hudson, Artifactory Continuous Integration development/deployment, e.g. Docker, Kubernetes Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Company Description 8byte is building AI infrastructure to power intelligent AI agents in the BFSI sector, enabling cost reduction, enhanced efficiency, and superior user experiences. With over 50 years of combined experience, founders have led multiple verticals across banking, fintech, and financial services, giving them deep insights into industry pain points. Leveraging this expertise, we develop AI-driven solutions that streamline decision-making, automate workflows, and optimize financial operations for institutions and investors alike. Role Overview We are looking for a Full Stack Engineer to join our team and help build scalable, AI-powered financial solutions. As an early team member, you will have the opportunity to shape our tech stack, contribute to key architectural decisions, and work closely with AI/ML engineers to bring AI-driven insights to investors and financial institutions. Key Responsibilities Develop and maintain scalable, high-performance web applications using Java/ReactJs/React Native/Flutter. Design, build, and optimize RESTful APIs and microservices for seamless integration. Work closely with AI/ML teams to integrate AI-driven insights into our platform. Implement secure and scalable data pipelines for financial data processing. Ensure responsive UI/UX design and optimize front-end performance. Collaborate with product, design, and business teams to deliver impactful solutions. Maintain code quality, conduct peer reviews, and follow best software development practices. Tech Stack (Preferred But Not Mandatory) Frontend: React.js, Next.js, TypeScript Backend: Node.js, Python (Django/FastAPI), Go Database: PostgreSQL, MongoDB, Redis Cloud & DevOps: AWS/GCP, Docker, Kubernetes, Terraform Other: WebSockets, GraphQL, Message Queues (Kafka/RabbitMQ) What We Look For 2-6 years of hands-on experience in full-stack development. Strong problem-solving skills and a product-first mindset. Experience with scalable, distributed system architecture. Knowledge of AI/ML integration is a plus. Ability to work in a fast-paced, high-ownership startup environment. What We Offer Competitive salary, Health Insurance Benefits and ESOPs. The opportunity to work on cutting-edge AI applications in BFSI. Fast-paced, learning-driven startup culture. Skills: react native,microservices,ai/ml integration,aws,code quality,react,java,flutter,responsive ui/ux,restful apis,reactjs,data pipelines,nestjs

Job Title: Elastic Engineer Location: Remote Employment Type: Full-Time At IT Butler , we believe in proactive, intelligent IT solutions that simplify complex technology. We’re a growing technology partner committed to delivering excellence in infrastructure, observability, and support. As we expand our monitoring and search capabilities, we're seeking a passionate Elastic Engineer to join our team and drive our Elasticsearch and observability infrastructure to the next level. Role Overview: You will take ownership of our Elastic Stack implementation—managing, tuning, and scaling Elasticsearch clusters while enabling rich observability and search experiences across client environments and internal systems. You’ll work closely with DevOps, security, and support teams to provide insight, performance, and reliability at scale. Key Responsibilities: Design, implement, and maintain robust Elasticsearch clusters (on-premises or cloud-based). Set up ingestion pipelines using Logstash, Filebeat, and Metricbeat for structured and unstructured data. Develop visualizations and dashboards in Kibana for performance, security, and operational monitoring. Work with the IT Butler operations team to define logging standards, alerts, and thresholds. Maintain Elastic Stack security (TLS, RBAC, API keys) and perform version upgrades. Investigate and resolve Elastic Stack performance and reliability issues. Enable observability integrations with external systems, including SIEMs, APM tools, or third-party dashboards. Document configurations, architectures, and troubleshooting guides. Participate in an on-call rotation for critical infrastructure issues, if applicable. Required Skills & Experience: 5+ years of experience with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats). Strong understanding of Elasticsearch data structures, indexing, and querying. Proficiency in Linux, shell scripting, and infrastructure monitoring. Experience with log aggregation, metrics, and dashboarding. Familiarity with system performance tuning and capacity planning. Good understanding of cloud platforms (AWS/GCP/Azure) and container environments (Docker, Kubernetes). Preferred (Bonus) Skills: Experience deploying Elastic Stack using Terraform, Ansible, or Helm. Knowledge of Elastic Security or Elastic APM modules. Exposure to SIEM or managed observability platforms. Elastic Certified Engineer or relevant certification. Experience in IT support or managed services environments. Apply at haseeb.r@itbutler.sa with Subject "ELK Engineer"

We're looking for a seasoned Principal Engineer to lead cutting-edge initiatives in the AI/ML space. This is a hands-on leadership role that demands deep technical expertise, especially in modern ML workflows and MLOps. Key Requirements: 🔹 Prior experience as a Principal Engineer is essential 🔹 Proficiency in Python with hands-on expertise in at least one ML framework (e.g., TensorFlow , PyTorch , or Scikit-learn ) 🔹 Strong experience with Large Language Models (LLMs) and model fine-tuning 🔹 Solid understanding of CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) 🔹 Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) 🔹 Hands-on experience with cloud platforms (AWS, GCP, Azure, or Databricks ) 🔹 Familiarity with MLOps and monitoring tools (e.g., Prometheus, Grafana, ELK Stack) 🔹 Experience with Infrastructure-as-Code (e.g., Terraform, Ansible) 🔹 Understanding of data engineering workflows and ETL pipelines 🔹 Knowledge of model explainability and fairness in production systems 🔹 Bonus: Strong working knowledge of Databricks If you're passionate about building scalable AI solutions and driving innovation in production-grade ML systems, we'd love to connect!

Location Bangalore, Karnataka, 560048 Category Engineering Job Type Full time Job Id 1191041 No AI & Analytics Workload Specialist This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you. The HPE Worldwide Hybrid Cloud Acceleration Team is seeking a technically skilled and innovative Solutions Engineer to join our global AI and Analytics team. This intermediate-level role is ideal for individuals who want to build real-world AI solutions to address customer problems, contribute to enterprise-scale validation projects, and drive field enablement with impactful assets. You will work closely with Solution Product Managers, workload Subject Matter Experts, and field teams to deliver innovative AI/Analytics workload solutions that position HPE as a leader in data-driven transformation. What you’ll do: Design & Validation Apply technical expertise to design and validate AI/Analytics workload solutions. Contribute technical assets such as demos, white papers, videos, blogs, labs, and internal enablement materials. Collaborate with stakeholders to define the scope and align solutions with business needs. Leverage internal infrastructure and AI-powered tools to accelerate development and validation. Field Enablement & Asset Creation Create compelling enablement content for the field, partners, and customers. Support solution adoption through TekTalks, webinars, Slack forums, and internal events. Integrate assets with field tools and help measure asset utilization. Career Development Invest in technical and personal growth through internal training, certifications, mentorships, and participation in HPE’s Technical Career Path (TCP). Contribute to team goals, mentor peers, and participate in a collaborative engineering environment. What you need to bring: 2 - 4 years of hands-on experience in building or validating AI and Analytics solutions, with a focus on real-world enterprise use cases. Proven experience developing or deploying AI-powered applications such as: Retrieval-Augmented Generation (RAG) systems Conversational AI/chatbot solutions ML model pipelines for analytics or inference Strong proficiency in Python and familiarity with common AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs). Hands-on experience with data manipulation, embedding/vector databases (e.g., FAISS, Chroma, Weaviate), and prompt engineering. Experience with virtualization platforms (e.g., VMware, KVM) and containers (e.g., Docker, Kubernetes) is a plus. Familiarity with deploying AI workloads in cloud environments (e.g., Azure, AWS, or GCP), particularly using GPU-accelerated instances, is a plus. Strong written and verbal communication skills, with the ability to explain complex technical ideas clearly. Bachelor’s degree in computer science, Data Science, Engineering, or a related technical field. Preferred Qualifications: Understanding of enterprise IT systems, storage, and hybrid cloud architecture. Prior experience building AI/ML solution reference architectures or benchmarks. Published technical content (e.g., blogs, demos, white papers). Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #hybridcloud Job: Engineering Job Level: TCP_02 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Location Chennai, Tamil Nadu, India Job ID R-231974 Date posted 20/07/2025 Job Title: Lead Consultant - AI Engineer GCL: E Introduction to role Are you ready to drive innovation in a leading pharmaceutical company? Join our Data Analytics and AI (DA&AI) team within Enabling IT as a Lead Consultant - AI Engineer. In this role, you'll be an individual contributor responsible for the technical delivery of projects, ensuring they align with business goals. You'll demonstrate your technical expertise across various tech domains, including Data & Cloud Engineering, Software Engineering, and AI, while collaborating closely with stakeholders. Your mission? Deliver innovative Data Analytics and AI solutions for our diverse business units. Accountabilities Design, implement, and maintain scalable AI applications to solve complex business challenges. Collaborate closely with data scientists and other developers to integrate AI models into end-user applications. Write clean, efficient, and well-documented code for AI models and applications. Conduct code reviews and provide feedback to ensure best coding practices are followed. Debug and resolve software defects in AI applications and ensure application performance. Conduct regular testing and validation of AI models to ensure accuracy and reliability. Work with DevOps to streamline the deployment and operationalization of AI models. Use cloud platforms (AWS, Azure, GCP) to manage compute resources efficiently for AI workloads. Stay updated with the latest AI and machine learning technologies and integrate them as appropriate. Develop and deploy AI models and algorithms to solve complex business problems. Collaborate with multi-functional teams to integrate AI solutions into existing platforms and systems. Ensure the scalability, performance, and reliability of AI applications and stay updated with the latest AI technologies and standard methodologies. Optimize AI models for performance, accuracy, and efficiency. Assist in troubleshooting and resolving issues related to AI applications. Provide technical guidance and support to other team members as needed. Apply strong knowledge of data engineering concepts to make use of data in AI solutions to extract meaningful insights. Flexibility to support application management and work shifts as required. Essential Skills/Experience 10+ years of experience in IT Industry. Demonstrable experience in developing and deploying AI and machine learning applications. Strong programming skills in languages such as Python, Java etc. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with cloud platforms like AWS, Azure etc. Proficient in software development concepts, such as coding standards, code reviews, source control management, and testing. Excellent problem-solving skills and attention to detail and Good interpersonal skills and ability to engage effectively in a team settingnt. Proficiency in SQL queries, Stored Procedures, and other database-related tasks. Solid understanding of DevOps, DataOps, and product management. Experience with automation strategies (CI/CD etc) and containerisation (Kubernetes, Docker) will be an advantage. Good interpersonal and communication skills Desirable Skills/Experience Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Experience in the pharmaceutical industry or similar large multinational environments. Relevant certifications in data engineering, analytics, and AI are a plus. When we put unexpected teams in the same room, we ignite ambitious thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Join AstraZeneca and be a valuable member of a skilled distributed team working towards improving patient care each day. We thrive on creativity and innovation, applying smart risks to turn ideas into reality. Our dynamic environment is fast-paced yet exciting, offering countless opportunities for growth. Here, you'll collaborate with high-performing colleagues who inspire each other to excel. With a focus on ethics, compliance, and transparency, we ensure that our work benefits patients' lives worldwide. Ready to make a difference? Apply now to join our team! Date Posted 21-Jul-2025 Closing Date AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Platform Engineering Lead will drive the design, development, and continuous evolution of scalable, secure, and high-performance platforms that support our OT cybersecurity services. This leader will be responsible for building a modular, multi-tenant technology foundation that supports rapid solution delivery, strong compliance postures (e.g., IEC 62443, NIST), and robust integrations with SIEM, IAM, EDR, and OEM tools. This role blends hands-on platform architecture leadership with strategic thinking, governance, vendor management, and team building across DevSecOps, infrastructure, and engineering teams. Preferred Qualifications Education : Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. Additional specialization in Cybersecurity, Cloud Architecture, or Systems Engineering is a strong plus. Certifications (preferred, not mandatory): Cloud Certifications: AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or GCP Professional Cloud Architect. Security Certifications: CISSP, CISM, or CISA (to demonstrate security leadership). DevOps / Architecture: TOGAF, Kubernetes CKA/CKAD, or HashiCorp Terraform Certification. Compliance: IEC 62443 awareness, or training in NIST/ISO 27001/GRC frameworks. Key Requirements 15+ years of experience in technology architecture or platform engineering, with minimum 5 years in leadership roles. Deep expertise in cloud-native architecture, DevSecOps, SRE, and cybersecurity integrations. Experience in microservices, modular platforms, and container orchestration (K8s, Docker). Strong exposure to at least two public clouds (AWS/Azure/GCP). Hands-on experience with infrastructure automation, secrets management, and release pipelines. Familiarity with compliance standards such as IEC 62443, NIST CSF, ISO 27001 is a plus. Prior experience in OT/ICS cybersecurity, IT-OT convergence, or critical infrastructure platforms is desirable. Proven ability to lead cross-functional teams, communicate with CXOs, and manage strategic vendors. Key Responsibilities Lead the architecture and engineering of modular, multi-tenant cybersecurity platforms for IT/OT convergence. Build and scale cloud-native infrastructures using AWS/Azure/GCP, ensuring 99.9% uptime, horizontal scalability, and security-by-design principles. Implement and govern robust CI/CD, IaC (e.g., Terraform), containerization (e.g., Kubernetes, Docker), and monitoring frameworks (e.g., Prometheus, Grafana, ELK). Ensure platform readiness for integration with cybersecurity tools including SIEM, SOAR, EDR/XDR, IAM, PKI, and asset discovery platforms. Drive DevSecOps maturity across environments, ensuring best practices in secure coding, automated testing, secrets management, and release pipelines. Define platform engineering OKRs, build sprint governance, and lead agile delivery teams across infrastructure, tooling, and backend development. Collaborate with Product, Delivery, OT Engineering, and GRC teams to ensure platform alignment to business goals, service offerings, and compliance needs. Lead vendor evaluations, tool benchmarking, and integration programs with OEM cybersecurity, cloud, and automation partners. ONLY Relevant Platform Engineering Leaders with expertise in cloud-native architecture, DevSecOps, SRE, and cybersecurity integrations can email at joy.saha@adani.com

Description Role Description Are you passionate in operating infrastructure at scale? Do you like working with Kubernetes clusters and microservices? Here is an exciting opportunity for you! Our team provides Kubernetes platform-as-a-service to other teams who are building microservices at Salesforce. Over the next year we’ll be expanding our Kubernetes footprint by 1000s of clusters. And you could be an instrumental piece in this transformation. As part of your job you will be working on open source technologies like Kubernetes, Terraform, Argo and Spinnaker and will have the chance to contribute back and shape the future of these technologies. We run one of the largest Kubernetes fleets in the industry and have been early adopters of the technology. Our mission is to empower service owners to focus on the unique value of their service, without having to focus on infrastructure, increasing developer agility and decreasing operational costs and complexity. The FKP team is pivotal to the success of the company with the overall strategy of the company to move to Hyperforce powered by FKP providing underlying infrastructure. We manage the platform that underlies Sales, Service, Commerce, Mulesoft and Tableau. Responsibilities As an FKP engineer you will be responsible for designing and implementing the software for managing Kubernetes clusters at scale. You will be creating design documents, presenting to an audience, and then implementing your designs. A large part of you job will also include evaluating and integrating open source technologies into the FKP software stack. Required Skills Comprehension in the following programming languages or equivalents Golang Python Bash (Minimal shell knowledge is required, but familiarity is required) Comprehension and hands-on experience in the following Technologies 5+ years experience with Kubernetes, Docker, and container orchestration 2+ years experience with AWS services. Especially IAM and cloud networking Familiarity with Terraform CI/CD services. eg. Jenkins, Argo, Spinnaker Observability tools. eg. Prometheus, Grafana, Splunk, ElasticSearch, Argus

You should have 8-12 years of hands-on experience in software development, system design, and architecture. A strong proficiency in Java and/or Node.js, along with relevant frameworks and tools is required. You must possess a deep understanding of SOA, Microservices, N-Tier, and Event-Driven Architecture. Hands-on experience with AWS and/or Azure, including serverless computing, containerization (Docker/Kubernetes), and CI/CD pipelines is essential. Proficiency in Agile methodologies (Scrum, Kanban) and DevOps best practices is a must. Strong knowledge of SQL & NoSQL databases and data modeling principles is required. Excellent troubleshooting and analytical skills for diagnosing complex technical issues are expected. Effective communication and stakeholder management skills with the ability to mentor teams are essential. Prior experience in the Healthcare industry is preferred. Additionally, experience with modern front-end frameworks (React/Angular), exposure to security best practices and compliance standards, hands-on experience with CI/CD pipelines and automation tools, as well as knowledge of API gateways, message brokers (Kafka, RabbitMQ), and event-driven architectures are considered good-to-have skills.,

You should have 5-8 years of backend development experience in Go (Golang) and a strong background in building scalable APIs using gRPC and REST. It is important to have a good understanding of microservices architecture and event-driven systems. Experience with Docker, Kubernetes, and CI/CD pipelines is essential for this role. A solid understanding of relational and/or NoSQL databases such as PostgreSQL and MongoDB is also required. Proficiency in version control tools like Git is expected, along with exposure to cloud platforms like AWS, GCP, or Azure. This role will involve working on cutting-edge technologies and collaborating with a talented team to deliver high-quality solutions.,

As an AI Ops Expert, you will be responsible for the delivery of projects with defined quality standards within set timelines and budget constraints. Your role will involve managing the AI model lifecycle, versioning, and monitoring in production environments. You will be tasked with building resilient MLOps pipelines and ensuring adherence to governance standards. Additionally, you will design, implement, and oversee AIops solutions to automate and optimize AI/ML workflows. Collaboration with data scientists, engineers, and stakeholders will be essential to ensure seamless integration of AI/ML models into production systems. Monitoring and maintaining the health and performance of AI/ML systems, as well as developing and maintaining CI/CD pipelines for AI/ML models, will also be part of your responsibilities. Troubleshooting and resolving issues related to AI/ML infrastructure and workflows will require your expertise, along with staying updated on the latest AI Ops, MLOps, and Kubernetes tools and technologies. To be successful in this role, you must possess a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, along with at least 8 years of relevant experience. Your proven experience in AIops, MLOps, or related fields will be crucial. Proficiency in Python and hands-on experience with Fast API are required, as well as strong expertise in Docker and Kubernetes (or AKS). Familiarity with MS Azure and its AI/ML services, including Azure ML Flow, is essential. Additionally, you should be proficient in using DevContainer for development and have knowledge of CI/CD tools like Jenkins, Argo CD, Helm, GitHub Actions, or Azure DevOps. Experience with containerization and orchestration tools, Infrastructure as Code (Terraform or equivalent), strong problem-solving skills, and excellent communication and collaboration abilities are also necessary. Preferred skills for this role include experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn, as well as familiarity with data engineering tools like Apache Kafka, Apache Spark, or similar. Knowledge of monitoring and logging tools such as Prometheus, Grafana, or ELK stack, along with an understanding of data versioning tools like DVC or MLflow, would be advantageous. Proficiency in Azure-specific tools and services like Azure Machine Learning (Azure ML), Azure DevOps, Azure Kubernetes Service (AKS), Azure Functions, Azure Logic Apps, Azure Data Factory, Azure Monitor, and Application Insights is also preferred. Joining our team at Socit Gnrale will provide you with the opportunity to be part of a dynamic environment where your contributions can make a positive impact on the future. You will have the chance to innovate, collaborate, and grow in a supportive and stimulating setting. Our commitment to diversity and inclusion, as well as our focus on ESG principles and responsible practices, ensures that you will have the opportunity to contribute meaningfully to various initiatives and projects aimed at creating a better future for all. If you are looking to be directly involved, develop your expertise, and be part of a team that values collaboration and innovation, you will find a welcoming and fulfilling environment with us at Socit Gnrale.,