Top AWS Jobs in Pune

Modernize security operations by building SOAR playbooks, AI-augmented investigation workflows, prompt libraries, Jupyter notebooks, response tooling, and integrations across SIEM, EDR, identity, ticketing, threat intelligence, and AI platforms. Partner with SOC and DFIR teams to automate high-effort processes, support major incidents, optimize response outcomes, maintain reusable tooling, and contribute to product roadmaps and technical documentation.

Build and operate production software and AI systems across cloud infrastructure. Responsibilities include developing APIs and services, operating RAG and inference platforms, implementing CI/CD and observability, managing AWS or GCP environments with Kubernetes and Terraform, optimizing model serving and GPU usage, controlling cloud and AI costs, and partnering with stakeholders on reliability, security, governance, and technical tradeoffs.

Own and operate a production agentic AI platform while building full-stack features across React and FastAPI. Manage AI workflows, prompts, guardrails, human-in-the-loop approvals, evaluations, bias governance, and RAG knowledge bases. Maintain enterprise and recruiting-channel integrations, MongoDB/DocumentDB pipelines, AWS infrastructure, CI/CD, observability, security, auditability, and PII protection. Partner with HR, recruiting, legal, compliance, and IT stakeholders while leading platform knowledge transfer and roadmap delivery.

Build secure, scalable AWS serverless applications focused on identity, data engineering, APIs, and customer engagement. Develop Python Lambda functions, React frontends, REST and GraphQL APIs, Cognito authentication workflows, and ingestion pipelines. Provision cloud infrastructure with Terraform or CloudFormation, support CI/CD, enforce security and compliance practices, integrate Amazon Connect, and troubleshoot application performance. Collaborate with architecture and DevOps teams in Agile development processes.

Design, develop and deliver scalable, secure full-stack solutions using Java microservices and front-end frameworks. Collaborate with product, design, and engineering teams, lead or coach others, ensure code quality, testing, and adherence to controls and governance.

Early-career software engineer who develops, tests, debugs, and maintains cloud-based IT operations and device management features. Contributes to backend services, APIs, integrations, automated tests, and CI/CD, participates in code reviews and agile processes, and collaborates across product and operations.

Build and operate reliable, scalable platforms supporting post-trade processing. Responsibilities include monitoring, incident response, troubleshooting, observability, capacity planning, automation, production support, and release and change management. The role develops dashboards and alerts with Grafana, Prometheus, and OpenTelemetry; supports Kafka-based messaging and distributed systems; analyzes logs, metrics, and traces; and improves resilience by reducing operational toil.

Lead the architecture, reliability, performance, scalability, and automation of distributed caching platforms. Responsibilities include operating high-availability systems, resolving incidents, optimizing performance, implementing Redis on Kubernetes, developing automation, supporting observability and CI/CD, guiding architectural decisions, mentoring engineers, and partnering with cross-functional stakeholders.

Engineer, operate, and improve global enterprise security platforms across endpoint, identity, email, network, cloud, vulnerability management, privileged access, and security monitoring. The role supports Zero Trust, M&A integrations, cloud transformation, CyberArk, Microsoft security, and SIEM modernization initiatives. Responsibilities include platform ownership, automation, troubleshooting, documentation, security control integration, regulatory support, and collaboration with architecture, infrastructure, SOC, identity, and technology teams.

Leads architecture and hands-on delivery of GCP data and generative AI solutions. Designs RAG systems, agentic workflows, conversational AI applications, REST APIs, and scalable batch and streaming pipelines. Uses Python, SQL, Vertex AI, BigQuery, Cloud Composer, Cloud Run, Terraform, and CI/CD tooling. Owns infrastructure, security, governance, testing, deployment, monitoring, and L3 production support while providing technical guidance on complex engineering decisions.

Leads Hevo’s premier technical support function for enterprise customers, owning technical relationships, onboarding, adoption, escalations, renewal readiness, and customer advocacy. Builds operating models, playbooks, KPIs, SLAs, health scoring, and escalation processes while hiring and developing TAM and support engineering teams. Provides hands-on technical leadership across APIs, integrations, cloud infrastructure, pipelines, and data systems, partnering with Product, Engineering, Account Management, and executives to improve retention, expansion, and customer outcomes.

Lead a team of software engineers to develop cloud-native solutions, manage project delivery, and collaborate with stakeholders in a full stack environment.

Develop and maintain automated and manual software testing solutions across the SDLC. Build test frameworks and suites for APIs, REST services, and web services; integrate automation with CI/CD tools; create test plans, data, and execution strategies; and collaborate with developers, stakeholders, analysts, and clients. The role also coordinates testing activities, drives quality improvements, and supports TDD and BDD practices.

Develop and maintain manual and automated software testing solutions across the SDLC. Build test frameworks and suites for APIs, REST services, and web applications; integrate automation with CI/CD tools; create test plans, cases, and data; support TDD and BDD; identify quality improvements; and coordinate testing activities with internal teams, developers, stakeholders, and clients.

Senior technical leader designing, building, and optimizing enterprise-scale cloud platforms and DevSecOps practices. Own cloud architecture (AWS/Azure/GCP), IaC (Terraform), CI/CD, container/serverless adoption, SRE-driven monitoring, security/compliance, and mentor engineering teams while integrating generative AI into solutions.

Designs, builds, and operates secure, scalable cloud data platforms supporting analytics, machine learning, and enterprise data needs. Responsibilities include cloud infrastructure, Terraform and GitHub pipelines, data ingestion and processing, governance, data quality, monitoring, disaster recovery, CI/CD, cost optimization, and integrations. The role partners with data scientists, analysts, architects, security teams, and business stakeholders while mentoring engineers and influencing cloud architecture and platform best practices.

Leads full-stack design, development, debugging, testing, and maintenance of Vertiv’s cloud platform for remote services. Builds Angular and .NET Core solutions, develops reusable components and prototypes, collaborates on architecture and interfaces, estimates work, manages user stories, mitigates risks, and provides technical recommendations. The role requires expertise in web development, databases, REST services, software design patterns, cloud platforms, security principles, and agile collaboration.

Lead development and maintenance of Python-based QA automation frameworks and test tools for wireless and cloud products. Build UI and backend automation, implement AI-based testing improvements, maintain Jenkins or GitLab pipelines, review test code, define automation roadmaps, and communicate testing status. The role requires extensive QA automation experience, API and UI testing expertise, Unix/Linux skills, version control proficiency, and familiarity with networking tools and telecom or SaaS environments.

Lead platform engineering for Reference Data Services, developing and scaling cloud and on-premise infrastructure for front-office developers. Responsibilities include hands-on Python software and data engineering, AWS platform development, secure coding, testing, stakeholder collaboration, technical strategy, risk management, and supporting a small engineering team. The role also involves guiding technical direction, mentoring engineers, optimizing platform costs, and integrating cloud services with Hadoop and Kubernetes environments.

The Engineering Specialist is responsible for frontend application development and backend integration, focusing on building scalable web applications, collaborating with teams, and adhering to architecture standards.

Design, develop and deliver scalable, secure Java-based backend systems and microservices. Collaborate with product and engineering teams on HLD/LLD, contribute to architecture and governance, implement event-driven solutions (Kafka), use Docker/Kubernetes/OpenShift for deployment, optimize relational databases, apply secure coding and unit testing, and work within Agile practices.

The AI Data Scientist will analyze data using machine learning to provide insights for decision-making and improve operational efficiency, as well as lead and mentor teams in AI initiatives.

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

Own observability infrastructure for multi-tenant cloud workloads, including Elastic Stack pipelines, SLO/SLI dashboards, incident response, runbooks, proactive support tooling, and Fleet management. Partner with SRE, R&D, and support teams to improve observability and tenant workflows across Azure and AWS environments.

Develop and integrate enterprise cloud software services using Python, Generative AI, serverless technologies, CI/CD, and Infrastructure as Code. Build automated IT operations solutions with AWS, Azure, Ansible, Terraform, Jenkins, and Azure DevOps. Contribute to cloud governance, security, compliance, testing, code quality, and operational standardization. Collaborate with architecture, engineering, cloud operations, and security teams while driving projects, documenting implementations, and reporting progress to stakeholders. Occasional domestic and international travel is required.