Top AWS Jobs in Pune

Designs and develops enterprise cloud platforms and secure, scalable AWS network architectures. Leads cloud automation, infrastructure as code, governance, hybrid connectivity, and infrastructure improvements. Troubleshoots complex cloud-to-cloud and cloud-to-on-premises traffic flows, partners with stakeholders on cloud strategy, and coaches junior engineers. The role requires deep AWS networking, cloud architecture, automation, and systems engineering expertise.

Develops reliable software, APIs, automation, cloud-native services, and internal platform capabilities. The role contributes to CI/CD, integrations, observability, security, testing, and architecture while supporting AI-enabled solutions such as LLM integrations, RAG, and agentic workflows. Candidates should have strong software engineering fundamentals, AWS or other cloud experience, backend development skills, and an interest in platform engineering, AI, and modern developer tooling.

Supports and operates NVIDIA’s large-scale on-premises and cloud network infrastructure in a 24/7 global operations environment. Responsibilities include monitoring alerts, resolving incidents within SLAs, troubleshooting network issues, managing IP infrastructure and datacenter interconnects, coordinating vendors, implementing upgrades and capacity expansions, improving operational workflows, and documenting best practices. The role requires extensive networking protocol knowledge, cloud experience, automation exposure, and strong incident-management and communication skills.

Hands-on data engineer building and maintaining Data Foundation-based data products and scalable ETL pipelines across multi-cloud (AWS/Azure/Databricks). Implement lakehouse and medallion architectures, publish data products (Unity Catalog), apply DevOps/IaC practices (AWS CDK, Terraform), collaborate globally, follow DataOps/ITSM, ensure data privacy and security, and continuously optimize workloads.

Design, develop, and maintain data-intensive software and analytics platforms using C#/.NET and SQL. Lead delivery, collaborate with product and stakeholders, ensure secure coding and unit testing, support data publication, governance, and visualization (Tableau/Power BI/Spotfire/BO), and help modernize legacy platforms toward cloud and modern data architectures.

Lead engineering teams developing high-quality software for Barclays’ digital mortgage ecosystem. Responsibilities include technical guidance, team allocation, delivery planning, risk management, mentoring, performance reviews, process improvement, stakeholder collaboration, requirements analysis, architecture, peer reviews, testing, and enforcing technology standards. The role requires strong object-oriented distributed-systems development, microservices, databases, DevOps automation, Agile delivery, secure development, and AI-enabled development practices.

Build and maintain secure, scalable data architectures, pipelines, warehouses, and lakes. Develop processing and analysis algorithms, ensure data quality, and collaborate with data scientists to deploy machine learning models. Lead or advise teams, provide technical guidance, manage risk and controls, influence stakeholders, and drive infrastructure and deployment pipeline improvements using AWS, Hadoop, SQL, Scala, Python, and ETL technologies. The role is based in Pune.

Build and maintain scalable data pipelines, warehouses, lakes, ingestion processes, and transformation solutions. Develop PySpark, AWS, Snowflake, dbt, SQL, and cloud-based data architectures; support data governance, orchestration, security, and lineage. Collaborate with data scientists, stakeholders, and infrastructure teams to translate requirements into reliable ETL and ELT components, deliver project implementations, manage controls, and improve data accessibility, quality, and performance.

Design and define technical solutions for Lending IT platforms (GCP and legacy systems), guide development teams, ensure alignment with architecture/security standards, produce design documentation, and review high- and low-level software designs.

Design, develop, deploy, operate, and improve high-scale cloud-native applications using Java, Spring Boot, microservices, and modern DevOps practices. Integrate internal systems, troubleshoot production issues, contribute to architecture and technology roadmaps, manage project deliverables, and participate in Agile ceremonies. The role also involves developing scalable data solutions, collaborating across globally distributed teams, and supporting CI/CD, infrastructure-as-code, and Kubernetes-based deployments.

The Senior Solution Architect leads technical delivery, gathers requirements, educates clients on product architecture, and advises on best practices.

The Cloud Architect will lead cloud architecture and migration initiatives, ensuring secure and scalable solutions while advising architectural decisions and working across teams.

Support, maintain, troubleshoot, and optimize production Databricks applications, Spark jobs, SQL queries, Delta Lake pipelines, clusters, workflows, and workspace configurations. Implement data quality checks, logging, alerting, governance, security, and cost-management practices. Collaborate on enhancements and bug fixes, reduce technical debt, document operational processes, and participate in EST-aligned support rotations.

Lead and mentor an SRE team to ensure reliability, scalability, and performance of Mastercard applications. Drive production readiness, automation, observability, incident triage/root-cause analysis, resilience design, and cloud/container modernization. Partner with developers to embed operational best practices and manage risk, compliance, and deployments across distributed systems.

Design, build, and maintain scalable full-stack, data-intensive applications and APIs using Java/Spring Boot, TypeScript, React, and Databricks/Spark. Contribute to architecture, performance tuning, testing, code reviews, and cross-team collaboration. Mentor teammates and support operational excellence for analytics-driven experimentation platform.

Build and maintain backend services primarily with Java and Spring Boot, while supporting an Angular frontend. Design RESTful APIs, transition database-centric systems toward domain-driven architecture, and work with complex SQL, PostgreSQL, Oracle, JPA, and Hibernate on high-transaction platforms. Collaborate within cross-functional Agile squads to deliver scalable, high-quality features. Cloud, Docker, CI/CD, legacy modernization, and loyalty or fintech experience are advantageous.

Architect generative AI workflows for cloud configuration and remediation using RAG, vector databases, and LLM APIs. Automate Terraform modules, Rego policies, and Regula test cases; develop AI-enabled drift detection, discovery, gap analysis, and remediation capabilities. Lead cloud security tooling AI initiatives, design extensible service architectures, establish technical strategy, and mentor engineers across a distributed global team.

Lead design, build, and run secure, scalable backend services and APIs (Python/Django/FastAPI). Automate network infrastructure and provisioning, improve reliability via observability and automation, lead system design, mentor engineers, enforce CI/CD, security, and AI-assisted development best practices, and partner across teams for vendor evaluation.

Analyze large datasets to identify trends, correlations, data-quality issues, and improvement opportunities. Build data pipelines, logical data models, dashboards, visual reports, and automated reporting processes. Translate analytical findings into business recommendations, support risk and control activities, and collaborate with stakeholders. The role also requires payments-domain knowledge, software development lifecycle delivery, and familiarity with cloud, CI/CD, machine learning, and AI concepts.

Build and maintain reliable Kubernetes-based microservices platforms with a strong observability focus. Configure Datadog dashboards, alerts, APM, metrics, logging, and tracing; integrate monitoring with AWS and CI/CD pipelines; install agents and integrations; manage secure access controls; and automate operational tasks using Python. Lead platform maintenance and improvements focused on reliability, scalability, and performance.

Lead a software squad while remaining hands-on with Java and Spring Boot backend development and Angular frontend work. Design RESTful APIs, guide migration to domain-driven design and bounded contexts, mentor junior developers, and maintain strong engineering standards. Build scalable services, work with Kafka, PostgreSQL, Oracle, JPA, and Hibernate, and support agile delivery. Nice-to-have experience includes cloud platforms, Docker, CI/CD, legacy refactoring, and Loyalty or Fintech domains.

Lead operational ownership of the enterprise Azure Central Kubernetes (AKS) platform, ensuring availability, security, scalability, and lifecycle management. Manage a global Kubernetes platform engineering team, drive automation, GitOps, IaC, incident and capacity management, security/compliance, cost optimization, and executive reporting. Partner with stakeholders and vendors to increase platform adoption, reliability, and operational maturity.

Lead major incident response and set technical direction for site reliability engineering across NVIDIA’s enterprise platforms. Design and operate distributed, Kubernetes-based cloud infrastructure; build automation, observability, self-healing systems, and AI-assisted incident tooling. Drive root cause analysis, SLOs, error budgets, and systemic reliability improvements. Partner with Cloud, Platform, Security, and AI/ML teams, mentor engineers, influence architecture, and communicate with executives during critical incidents.

Leads the Search Infrastructure engineering function, overseeing scalable, resilient, distributed cloud services and microservices. Responsibilities include setting technical strategy, driving business outcomes, improving engineering efficiency and reliability, collaborating with architects and product managers, and hiring, mentoring, and managing geographically distributed engineering teams. The role requires strong Java, AWS, distributed systems, cloud-scale application, and search infrastructure expertise.

Administer and support IBM WebSphere and middleware environments, including implementation, upgrades, high-availability configuration, monitoring, tuning, patching, and vulnerability remediation. Design system configurations, disaster recovery procedures, automation, and infrastructure-management guidelines. Prepare capacity reports, manage multiple projects, mentor technical staff, and support business-critical systems in a 24/7 rotational environment.