Top AWS Jobs in Pune

The Senior SW Engineer will design cloud-based build tools, provide leadership, mentor juniors, optimize performance, and interface with stakeholders.

The Staff Software Engineer I - SRE role involves proactive reliability engineering, incident management, and cross-team leadership to enhance data stream reliability for Confluent Cloud.

Prioritize and quantify enterprise cyber risk by correlating threat intelligence, vulnerabilities, attack paths, and business impact. Model exploitable attack scenarios across identity, cloud, network, and endpoints. Partner with red/blue teams to assess likelihood and impact, support risk scoring and reporting, track remediation and residual risk, and communicate risk posture to security leadership, GRC, and engineering to influence security investments.

The DevOps Engineer will enhance software development processes, automate deployments, manage AWS infrastructure, and ensure system reliability.

As a Frontend Developer, you will develop and maintain web applications, design user-friendly interfaces, collaborate on requirements, and participate in Agile processes while ensuring code quality and performance.

The Data Architect will design and manage secure data platforms using Snowflake in healthcare, focusing on compliance, data models, and analytics.

As a Full Stack Developer, you will design and develop web applications using both front and back-end technologies, collaborating with teams to deliver high-quality solutions.

Lead AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.

Build and optimize core backend systems enabling user features, real-time data synchronization (event-driven/CDC), advanced caching and connection pooling, and improved observability. Drive architectural and infrastructure upgrades, own deployment and scaling strategies, contribute to open-source, and raise backend engineering standards across the platform.

Design, implement, and lead large-scale generative AI and ML systems (LLM fine-tuning, RAG, agents, Graph ML). Build REST APIs, deploy with Docker/Kubernetes, optimize big-data workflows, mentor engineers, and operate ML services on cloud platforms.

Lead design and delivery of cloud-native, event-driven platforms and applications. Drive full lifecycle development, champion engineering best practices, implement production-ready solutions, and build AI/LLM capabilities like RAG, embeddings, and model CI/CD across multi-cloud environments.

Design and build a greenfield, multi-layer data warehouse and semantic metrics layer; separate analytics from OLTP; ensure data quality, traceability, tenant isolation, and high SLAs; enable linking of structured records to drone imagery/video; deliver self-service data access, observability, and infrastructure automation to scale across products and tenants.

Design, build, and own microservice-based backend services using Java and Spring Boot. Build REST APIs, implement event-driven systems, integrate message brokers, design MySQL schemas, optimize performance, collaborate across teams, and maintain scalable, highly available backend services.

Customer-facing Deployment Engineer responsible for installing, configuring, upgrading, and supporting Cellebrite solutions across on-prem, cloud, and hybrid environments. Performs pre/post deployment validation, troubleshooting, automation with IaC, documentation, user training, incident response, system upgrades, and works closely with engineering, product, sales, and customer success. Supports India/APAC customers with up to 50% travel.

As a Full Stack Engineer, you'll build user-friendly features and robust systems, collaborate with teams, maintain APIs, and ensure platform security and scalability.

As a Backend Engineer, you will design and implement scalable platform services, manage APIs, microservices, and ensure operational excellence in a cloud environment.

Design, implement, and mature a quantitative-leaning enterprise risk program spanning information security, AI, and operational risk. Own the living risk register, run cross-functional risk identification, leverage AI to monitor and analyze risk, support TPRM, produce executive reporting, and embed risk controls and KRIs into live data sources and workflows.

Provide hands-on technical support to customers deploying, operating, and scaling ArangoDB-based AI systems. Diagnose issues, optimize queries and performance, configure deployments across Kubernetes and cloud/on-prem, debug networking/storage, script automations, and document solutions while collaborating with Product and Engineering.

As a Senior AWS Cloud Engineer, you will design and implement AWS cloud infrastructure, automate deployment, optimize systems, and lead client collaboration on migration strategies.

Lead design and implementation of IDMC-based data integration solutions. Build and optimize ETL/ELT pipelines, integrate SCADA/IoT/ERP/market data, enforce data quality and governance, mentor developers, monitor production pipelines, troubleshoot issues, and evaluate new IDMC features to support analytics and regulatory needs.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Lead manual and automated QA activities including test planning, exploratory and regression testing, automation framework development, cross-browser and performance testing, AI-driven test case generation, defect tracking, and CI/CD integration to ensure scalable, compatible, and high-performing software releases.

Drive enterprise SaaS/security sales by developing territory plans, qualifying inbound/outbound leads, managing CRM opportunities, collaborating with product and sales engineering, forecasting and exceeding quota, and building relationships with key decision makers in cloud and DevOps environments.

Design and presales of end-to-end AI/HPC infrastructure: size GPU clusters, storage, networking, Kubernetes/container platforms, integrate liquid-cooled racks with facility constraints, validate solutions with OEMs, and support delivery for scalable, operable AI deployments.

The Principal UI Engineer will develop front-end applications for AI-driven cybersecurity solutions, lead UI development, conduct code reviews, and collaborate with teams to enhance software quality.