Top AWS Jobs in Pune

Lead architecture and delivery of Control Center platform capabilities, evolving it into an AI-agent-ready operations platform. Design MCP registries, AI orchestration, access automation, guardrails, and HITL workflows. Mentor engineers, drive cross-team roadmaps, own backend services reliability, SLOs, observability, incident response, and collaborate with Security and Product to deliver secure, compliant internal tooling.

Lead the Business Intelligence center of excellence by managing teams, building BI practices, and optimizing BI solutions using various tools.

The Identity Solution Engineer will design and automate Identity and Privileged Access Management solutions, enhance identity security governance, and collaborate with stakeholders on security concepts, leveraging expertise in various identity platforms.

Provides advanced L3 network operations support for client environments, troubleshooting performance and communications issues, designing complex LAN/WAN, security, SDN, and hybrid cloud architectures, and leading network projects and roadmaps. The role manages incidents, changes, problems, capacity, documentation, automation, and process improvements while advising clients and evaluating emerging technologies. It requires deep expertise in Cisco, firewalls, routing protocols, AWS and Azure networking, and hybrid connectivity.

Develop, deploy, and troubleshoot cloud-based applications across SaaS/PaaS/IaaS. Build and optimize ETL/ELT workflows and data warehousing on Snowflake and AWS, integrate cloud applications via APIs, and collaborate with project managers to deliver solutions.

Perform application risk assessments (using NIST/ISO frameworks), validate security controls, identify and rate application risks, document findings, track remediation with owners, maintain GRC records, support risk evaluations, and improve playbooks and processes while communicating risks clearly.

Architect and develop enterprise-scale distributed systems and microservices using Java, Spring, AWS, Docker, and Kubernetes. Build event-driven architectures, optimize Oracle and distributed database performance, establish engineering standards, mentor junior engineers, conduct code reviews, and troubleshoot complex production issues. Collaborate with architects and stakeholders to deliver technical solutions, evaluate emerging technologies, and champion DevOps practices and CI/CD pipelines.

Design, build, test, deploy, and improve production full-stack applications. Develop frontend, backend, data layers, APIs, and user experiences using modern web technologies. Create and maintain n8n workflows, integrate third-party services and event-driven systems, and apply AI-assisted engineering tools. Collaborate with product teams and stakeholders while implementing cloud, DevOps, CI/CD, observability, security, and scalable architecture best practices.

Provide senior technical leadership for enterprise SaaS and hybrid platforms: define architecture and standards for security, scalability, reliability, and observability; design distributed systems and agent-based solutions; mentor senior engineers; drive technical strategy, roadmap execution, and cross-functional alignment; review architecture and code and communicate trade-offs to stakeholders.

Lead a backend Core Engineering team to deliver and modernize Vena's core platform. Provide technical leadership, hands-on engineering, system design, risk mitigation, mentoring, roadmap execution, and champion engineering best practices and AI-driven tooling to improve productivity and codebase health.

Work with enterprise customers to design, build, and deploy production-grade AI solutions on the Cogentiq platform. Implement integrations with enterprise systems, develop connectors, backend services, and microservices, ensure scalability, security and observability, troubleshoot deployments, and turn deployment learnings into reusable platform capabilities.

Lead the development of secure, scalable software and applied AI solutions at Barclays. Responsibilities include designing AI applications, collaborating with product and engineering teams, conducting code reviews, ensuring testing and secure coding, guiding technical direction, mentoring colleagues, managing risks and controls, and advising stakeholders. The role requires expertise in applied AI, AWS, software architecture, leadership, and stakeholder communication, with desirable experience in big data, cloud data platforms, and data governance. Based in Pune.

Leads the design, development, and delivery of scalable, secure software and applied AI solutions. Drives data technology innovation, software architecture, responsible AI adoption, technical leadership, mentoring, stakeholder collaboration, project execution, risk management, and continuous improvement. Works with AWS services, AI frameworks, retrieval-augmented generation, vector databases, cloud data platforms, and governance controls.

Design, develop, and support software solutions by overseeing database management and enhancing application environments while ensuring secure coding practices and operational effectiveness.

Lead data investigations, perform ETL and analytical modeling, provide insights and feasibility analyses to support sales and clients, develop/automate reporting and interfaces, and manage cross-functional analyst teams across Comscore product areas.

Develop and deploy machine learning, deep learning, and computer vision solutions for image classification, object detection, segmentation, OCR, and video analytics. Prepare and annotate datasets, optimize models for production performance, collaborate on system integration, and document architectures and deployment workflows. The role also involves staying current with AI/ML research and may include real-time video processing, edge deployment, 3D vision, SLAM, and AR/VR technologies.

Leads a ten-person platform engineering team responsible for infrastructure, systems engineering, DevOps, networking, test automation, modernization, reliability, and operational excellence. Owns technical direction, architecture, cloud and on-premises infrastructure, cost optimization, delivery, troubleshooting, hiring, performance management, and career development. Partners with engineering, QA, product, and US leadership while building team structure and future technical leaders.

Develop cloud-based applications with strong Angular and TypeScript expertise while contributing to AWS, Kubernetes/EKS, backend services, microservices, CI/CD, infrastructure as code, and platform engineering initiatives. Build and support front-end and cloud services, troubleshoot containerized deployments, automate delivery pipelines, and collaborate across technology domains. Preferred experience includes Helm, Terraform/OpenTofu, Lambda, Node.js, Jenkins, cloud governance, event-driven systems, automated testing, and developer enablement tooling.

Develop data engineering and analytics solutions using Python, Snowflake, and AWS. Collaborate with analytics stakeholders to solve sophisticated problems, connect data to business strategy, and deliver measurable business value. The role requires strong analytical, technical, SQL, communication, and problem-solving skills, plus the ability to manage complex projects independently. Experience with large-scale datasets, relational and NoSQL databases, ETL tools, continuous integration, and Agile/Scrum is beneficial.

Manages and mentors a team of data engineers and architects, provides technical guidance, oversees customer Databricks projects, leads reusable tooling development, handles escalations, partners with stakeholders, improves service offerings, and supports customer success throughout sales and delivery.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

Serve as a techno-functional business analyst: gather and translate requirements, design functional specifications, support integrations and data flows (APIs, databases, cloud), collaborate with architects and developers, support UAT and deployment, and drive process improvements and change management for digital transformation initiatives.

Partner with sales teams to win and expand enterprise customers by owning technical sales activities. Assess customer requirements, conduct product demonstrations and proofs of value, respond to RFPs and RFIs, build stakeholder relationships, and communicate Chainguard’s security benefits. The role also supports webinars, conferences, marketing initiatives, feature requests, and customer education while serving as a trusted technical advisor.

Design, build, and maintain production data pipelines and models using Python and SQL. Improve data architectures (Kafka, warehouses, ODS), optimize SQL performance, perform data cleaning and analysis, select data sources, and collaborate with partners to support cloud-based analytics (Snowflake, AWS SageMaker) and workflow tools like Airflow.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.