Top AWS Jobs in Pune

Lead end-to-end cloud-based technology implementations, provide technical expertise, drive delivery and scalability, mentor teams, collaborate globally, develop business cases, and manage client-facing engagements with enterprise data, analytics, and application solutions.

Provide 24x7 monitoring and incident management across Windows, Linux, VMware and hybrid cloud using SolarWinds and Splunk. Administer SolarWinds platform, tune alerts/reports, perform first-line triage, support patching/change processes, troubleshoot virtualization and AWS, and coordinate escalations following ITIL practices.

Lead design and delivery of GCP data platforms using BigQuery, Pub/Sub, and Dataflow. Architect high-volume ingestion and ETL pipelines, drive cloud migrations, mentor engineers, ensure security, cost optimization, and stakeholder alignment to deliver analytics and ML-ready data solutions.

The Site Reliability Engineer will ensure cloud-native system stability and performance, manage AWS infrastructure, and optimize reliability in Java microservices.

As an Enterprise Architect, you will define enterprise data architecture, lead cloud platform modernization, establish governance frameworks, and integrate AI-driven solutions while mentoring global teams.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Lead and deliver full-stack .NET web projects, write and maintain code (.NET Core, C#), integrate cloud and web technologies, drive technical decisions, ensure unit testing and CI, collaborate with stakeholders and overseas teams.

The Senior Software Engineer will develop high-quality software solutions, lead code reviews, mentor junior developers, and collaborate with project stakeholders to meet client needs.

Deliver live instructor-led and virtual product training and hands-on labs for customers, partners, and employees. Create and maintain technical training materials, developer labs, scripts and demos. Mentor partner delivery teams, support certification readiness, and use learner feedback and AI tools to improve course effectiveness. Travel 25–50% for training and workshops.

As an Automation Engineer, you'll test and analyze a SaaS-based datacenter monitoring solution, design test cases, and contribute to automation coverage to ensure software quality.

As a Staff Automation Engineer, you'll ensure the quality of software through testing strategies, automation, and mentoring. Responsibilities include designing test cases, managing testing frameworks, and collaborating with development teams to uphold software standards.

Manage AWS infrastructure across Prod/Stage/Dev, handle incident management and root cause analysis for core AWS services, ensure availability and performance, monitor health and cost, perform access management and resource optimization, support Terraform-based provisioning, automate operational tasks, and work with CI/CD pipelines while collaborating with Engineering, Security, and Data teams.

The Senior Software Engineer will develop macOS applications and backend services in Java and Go, collaborating internationally and mentoring juniors.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Design and implement cloud automation and platform architecture to migrate monolithic Rails apps to containerized microservices on EKS/AKS. Build tooling with Terraform, Ruby, YAML and scripting, drive AWS platform initiatives, ensure observability with New Relic, and mentor junior engineers to improve cloud operations and SRE capabilities.

Lead design, deployment, automation, and support of large-scale cloud networking (AWS/Azure/GCP). Implement and operate firewalls, VPN, IDS/IPS, DNS, BGP. Build infrastructure-as-code (Terraform/CloudFormation), monitor performance, mentor network engineers, participate in design reviews and on-call rotation, and occasionally travel.

Lead QA automation efforts for a SaaS observability platform: design and execute functional, regression, performance, and automation tests; build and maintain automation frameworks; mentor QA engineers; collaborate with product and dev teams; identify risks and drive continuous improvement.

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

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

The Senior Data Scientist will architect real-time fraud detection systems, process large data sets, mentor teams, communicate findings, and innovate using AI technologies for effective risk management.

Lead and grow Cloudflare's India Customer Engineering team as a technical people leader. Provide hands-on architecture and escalation support, drive regional technical strategy, partner with sales to close deals, run operating cadence for pipeline and adoption, hire and coach CE talent, and surface product and competitive feedback.

The Solutions Architect II will design and implement complex web and security solutions, provide technical consulting, and optimize customer engagement with Akamai's services.

The Staff Detection Engineer will develop advanced detection rules and pipelines for threat hunting, leveraging big data tools. Responsibilities include maintaining detection systems, writing detections, and collaborating in a dynamic environment.

Collaborate with teams to gather technical requirements, design features, write production-ready code, and manage ML lifecycle in a consulting environment.

Design and implement secure multicloud (especially Azure) architectures, define security standards, lead threat modeling and risk assessments, automate cloud security (IaC/CI-CD), integrate AI/ML for detection and automation, mentor engineers, and partner with cross-functional teams to ensure secure AI model lifecycle and cloud operations.