Top AWS Jobs in Pune

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Administer and secure CyberArk Privileged Cloud and enterprise privileged access environments. Manage non-human identities, service accounts, API keys, secrets, certificates, and workload identities throughout their lifecycles. Troubleshoot PAM, authentication, network, and connectivity issues; automate onboarding and credential rotation with PowerShell, Python, and APIs; support SIEM monitoring and incident response; and build Power BI reporting. Partner with security, infrastructure, and application teams while enforcing least privilege, compliance, documentation, training, and continuous improvement.

Administers and automates Saviynt IGA environments, including application onboarding, connectors, lifecycle workflows, access certifications, RBAC, SoD controls, and entitlement management. Develops PowerShell and Python integrations using REST APIs and SCIM, troubleshoots provisioning issues, analyzes logs, supports SIEM and incident response, and ensures compliance with SOX, PCI-DSS, NIST, and ISO 27001. Partners with security, infrastructure, application, and audit teams while documenting processes, training stakeholders, and improving governance operations.

Resolves critical technical issues for high-value customers through root cause analysis, advanced network troubleshooting, bug reproduction, testing, and engineering collaboration. Supports cloud networking environments, Linux systems, automation, QA, documentation, and customer communication. The role also contributes to feature feedback, support content, and off-hours escalation coverage.

Develop and own highly scalable backend services for IoT, order, and payment systems. Responsibilities include Java and Python development, distributed systems design, database and cache optimization, event-driven architectures, production troubleshooting, observability, incident response, reliability improvements, and collaboration with Infrastructure, QA, and Product teams.

Leads analysis, design, development, testing, deployment, and operation of scalable Java backend services. Designs APIs, event-driven and batch systems, and microservices using Spring Boot, Kafka, cloud, and DevOps technologies. Owns delivery estimates, architecture, quality, security, CI/CD, reliability, and customer experience. Collaborates with product and business stakeholders, mentors engineers, reviews code and automation, drives process improvements, and supports high-availability mission-critical applications.

Integrate security into software delivery and infrastructure workflows across AWS and GCP. Build scanning into CI/CD pipelines, maintain security guardrails, secure containerized workloads, implement least-privilege access and secrets management, and support compliance with SC TRM and BNM RMiT. Improve monitoring, vulnerability reporting, incident readiness, and secure delivery practices while collaborating with platform and engineering teams using multiple programming languages.

Design, develop, test, release, and maintain scalable Vue.js web applications. Build reusable responsive interfaces, write unit and integration tests, optimize performance, troubleshoot cross-browser issues, and collaborate with product, design, backend, and QA teams. Present technical approaches, follow Agile practices, and mentor junior developers. The role requires deep Vue.js expertise, enterprise-scale application development, state management, testing, monitoring, and error-tracking experience.

Build and own end-to-end evaluation frameworks for LLMs and multi-step AI agents, including benchmarks, automated and human-in-the-loop evaluators, golden datasets, regression suites, production monitoring, and quality dashboards. Partner with research, product, Trust & Safety, and legal teams to define rigorous metrics and translate evaluation results into training and deployment decisions. Mentor engineers and establish evaluation best practices.

Lead the design, operation, and standardization of global cloud infrastructure across AWS, Azure, and GCP. Own large-scale Kubernetes platforms, service mesh, GitOps, infrastructure as code, CI/CD, observability, security, compliance, and on-call excellence. Drive multi-account AWS architecture, mentor engineers, influence cross-functional technical direction, and develop AI-assisted and agentic operational automation using tools such as Amazon Bedrock.

Design, build, and operate AWS and Kubernetes infrastructure powering production AI systems. Own CI/CD, infrastructure as code, GitOps, observability, secrets management, GPU workloads, model serving, reliability, security, scalability, and cost optimization. Troubleshoot production incidents, perform root-cause analysis, and develop automation using Python and Bash while collaborating across Engineering, ML/AI, Security, and Product teams.

Leads the design and improvement of DevOps platforms, CI/CD pipelines, infrastructure automation, cloud environments, container orchestration, observability, security controls, and SRE practices. Partners with engineering teams to improve delivery speed, reliability, deployment quality, and developer self-service. Provides technical leadership, mentoring, governance, incident response, resilience engineering, and cloud cost optimization across production and non-production workloads.

Develop and maintain scalable backend and full-stack systems using Node.js, MySQL, Redis, REST, and GraphQL. Responsibilities include system architecture, microservices, API development, testing, CI/CD, deployment, performance optimization, production troubleshooting, documentation, and code reviews. The role collaborates remotely with product and design teams and requires familiarity with cloud platforms, Docker, native mobile development, and database technologies.

Develop and maintain production-ready Flutter mobile applications for iOS and Android. Responsibilities include responsive UI development, algorithm and performance optimization, testing, debugging, app deployment, production monitoring, and collaboration with designers, product managers, and backend developers. The role requires Flutter and Dart expertise, API and state-management experience, Firebase, CI/CD, Git, cloud, database, native development, and Docker familiarity.

Designs and owns the end-to-end architecture of a Snowflake Native App for Marketplace publication. Responsibilities include application packaging, cloud-agnostic architecture, data flow and security design, ETL migration tooling evaluation, provider account setup, versioning, release architecture, and leading Snowflake Security Review documentation and compliance activities.

Designs and maintains cloud infrastructure using infrastructure-as-code, builds CI/CD pipelines, and improves reliability, scalability, security, monitoring, and deployment workflows. Troubleshoots infrastructure incidents, drives automation, manages observability tools, and contributes to DevOps standards and operational playbooks across cloud environments.

Design and implement enterprise data architectures spanning data lakes, warehouses, data fabric, and MDM. Build scalable pipelines and integration frameworks, establish governance and data quality standards, enable AI/ML initiatives, develop data strategies, and optimize platforms for performance, scalability, and reliability. Collaborate with business and technology stakeholders across the organization.

Leads development and operation of scalable AI and machine learning systems, including cloud deployment infrastructure, prompt engineering, LLM guardrails, and responsible AI practices. Mentors AI engineers, establishes technical standards, conducts code reviews and interviews, and partners with data engineering, product, and business teams to deliver AI solutions. The role also includes application integration and troubleshooting using middleware platforms such as TIBCO and IBM WebSphere.

Supports enterprise sales cycles across APJ through technical discovery, solution design, demonstrations, proofs of concept, architecture reviews, tenders, and technical validation. Enables partners through training, workshops, reusable technical content, and joint customer engagements. Designs solutions involving integrations, APIs, automation, and deployment architectures while collaborating with sales, product, engineering, services, and support teams. Requires strong IT, cybersecurity, cloud, networking, scripting, communication, and partner-management expertise.

Supports Db2 LUW databases for multiple clients, including environment design, installations, upgrades, patching, migrations, troubleshooting, security, backup and recovery, performance tuning, and high-availability management. The role collaborates with clients and global DBA teams, supports projects and 24x7 incidents, develops automation and documentation, resolves complex issues, and mentors junior administrators. Rotating shifts and on-call participation are required.

Leads software engineering for Mastercard’s global money transfer platform. Responsibilities include designing, coding, testing, securing, integrating, troubleshooting, and deploying services; improving CI/CD automation, architecture, reliability, and code quality; supporting agile prioritization and product acceptance; conducting postmortems and technical interviews; and mentoring engineers across globally distributed teams.

Develop and maintain Java applications on AWS, build REST and enterprise API integrations, and implement serverless workflows with Lambda and Step Functions. Configure messaging through SNS/SQS, manage DynamoDB and S3 resources, provision infrastructure using CloudFormation or CDK, and monitor systems with CloudWatch. Apply IAM security practices, troubleshoot cloud applications, collaborate with development, architecture, and client teams, and follow deployment and monitoring best practices.

Develop AI applications using Python, generative AI, LLMs, RAG, vector databases, APIs, and agentic AI frameworks. Build and integrate solutions with models including GPT, Claude, Gemini, and Llama. Use LangChain, LangGraph, Docker, cloud platforms, and modern deployment tools. The role requires strong problem-solving, API development, prompt engineering, and immediate or short-notice availability for office-based work.

Develop modern generative AI applications using LLMs, retrieval-augmented generation, vector databases, prompt engineering, and agentic AI. Build APIs and production systems with Python, FastAPI, LangChain, LangGraph, Docker, and cloud platforms. Responsibilities may include integrating major LLM providers, implementing function calling, embeddings, evaluation frameworks, guardrails, monitoring, and fine-tuning. The role is full-time, office-based, and requires immediate or short-notice availability.

Develop enterprise-grade cloud applications for IBM using Java, AWS, REST APIs, microservices, and Golang. The role requires full-stack application development expertise, cloud application experience, and at least four years of professional experience. This is a work-from-office position in Pune, with local candidates preferred.