Top AWS Jobs in Pune

Own and develop mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. Design scalable services using Python, REST, gRPC, Kubernetes, and Terraform; manage relational, NoSQL, graph, and vector data architectures; improve reliability, performance, and operational excellence; and provide hands-on technical leadership across backend, frontend, infrastructure, and AI systems.

Build, operate, and scale enterprise web applications using Python and React.js. Develop REST and GraphQL APIs, asynchronous processing, responsive interfaces, database queries, automated tests, and CI/CD workflows. Own features end to end, improve architecture and observability, modernize legacy systems, resolve outages, reduce technical debt, and mentor engineers. Collaborate with Product and Design in a remote, pod-based organization while leveraging AI coding agents.

Execute penetration tests across web, mobile, network, cloud, and system environments; identify and validate vulnerabilities; produce detailed technical reports and remediation guidance; support client remediation and incident response; develop custom offensive tools and automation; conduct social engineering simulations; and maintain client communications while tracking evolving threats.

Develops software, configures and deploys systems, administers Linux and cloud infrastructure, manages containers and CI/CD pipelines, integrates applications and APIs, and troubleshoots issues across application, database, network, and infrastructure layers. The engineer owns technical solutions from investigation through deployment and verification, automates operational tasks, documents systems, and collaborates directly with technical and non-technical stakeholders.

Provide advanced technical support for enterprise database customers by diagnosing complex issues involving database internals, SQL performance, Linux systems, networking, and distributed applications. Reproduce bugs, perform QA, submit engineering reports, collaborate with development and infrastructure teams, improve support processes, and create documentation. The role includes scheduled IST hours and participation in an on-call rotation.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

Leads biomedical data science for clinical and health research, integrating clinical, observational, EHR, genetic, wearable, electrophysiological, and video data. Develops signal-processing methods, machine-learning models, probabilistic and time-series analyses, scalable data pipelines, and reproducible workflows. Validates clinically relevant models, supports disease phenotyping and predictive modeling, ensures compliance with pharmaceutical and healthcare standards, and communicates technical findings to clients and stakeholders.

Develop and maintain automation, infrastructure, and monitoring solutions for large-scale distributed compute systems. Troubleshoot complex systemic issues, deploy software safely at scale, participate in on-call rotations, restore service-impacting incidents, and improve observability and reliability. The role requires expert Linux systems administration, configuration management, performance optimization, infrastructure automation, and proficiency with Python or Golang, cloud platforms, and monitoring technologies.

Lead development of foundational platform services, including identity, authorization, search, and API infrastructure. Design scalable architectures, optimize database performance, build internal developer tools, improve observability and frontend reliability, and collaborate with product teams. The role includes writing tested code, conducting reviews, documenting platform capabilities, supporting internal users, and evaluating or integrating AI-assisted development and LLM-powered systems.

Designs and reviews security architecture, performs threat modeling and cloud assessments, responds to incidents, manages security tools, and advises engineering teams on secure development. Conducts code and vulnerability reviews using OWASP and MITRE ATLAS, evaluates AI and LLM security risks, and supports security monitoring, risk assessment, data protection, and compliance across applications, infrastructure, and endpoints.

Design, build, and deploy production generative AI features, including LLM applications, RAG pipelines, and agentic systems. Develop scalable Python and cloud backend services, evaluate model accuracy and performance, optimize reliability and cost, and implement monitoring, security, and observability. Collaborate with product, design, and engineering teams while mentoring teammates and exploring emerging AI technologies.

Build and scale reinforcement learning environment platforms for frontier AI model training and evaluation. Responsibilities include developing backend services, data generation pipelines, modular simulation environments, and reliable infrastructure. The role involves architecture decisions, observability, performance improvements, and collaboration with engineering, research, product, and operations teams across India and the US.

Build and maintain full-stack features for secure, high-volume fintech and cryptocurrency transactions. Develop Golang and Java backend services, Node.js and TypeScript APIs, and React/Next.js applications. Integrate third-party systems, implement OAuth 2.0 authentication, work with microservices, and ensure security, performance, reliability, and observability. Contribute to architecture discussions, code reviews, technical documentation, and end-to-end feature ownership in a fully remote environment.

Design, build, and operate Supabase’s multi-region compute platform, including provisioning, orchestration, autoscaling, warm pools, resource optimization, observability, and reliability improvements. The role involves operating large Kubernetes clusters, improving infrastructure automation and architecture, responding to incidents, participating in on-call rotations, and resolving systemic platform issues. Strong Go and TypeScript skills, AWS experience, distributed systems knowledge, and cloud infrastructure expertise are required.

Leads 24x7 NOC operations, major incident management, cloud infrastructure support, monitoring, and operational excellence. Oversees incident response, SLA and reliability targets, stakeholder communications, shift handoffs, runbooks, ITSM processes, root-cause analysis, and automation. Manages AWS and Azure environments, Linux and Windows systems, networking, Kubernetes, databases, and monitoring platforms. Mentors NOC engineers and drives continuous improvement across production support operations.

Leads the architecture, design, and delivery of secure, scalable, resilient infrastructure across data center, hybrid cloud, and distributed environments. Partners with engineering, security, networking, cloud, product, and program teams to deliver modernization initiatives, automation, Infrastructure-as-Code, platform standardization, and operational excellence. Develops architecture standards and roadmaps while ensuring availability, compliance, disaster recovery, performance, and security for mission-critical platforms.

Own the full customer lifecycle from discovery and technical demonstrations through deal execution and customer success. Design OpenTelemetry instrumentation strategies, customize observability dashboards, address technical, security, finance, and legal evaluations, and support engineering teams. Feed customer insights into product improvements and help build scalable Sales and Customer Success processes. The role requires strong technical knowledge of cloud platforms, containers, Kubernetes, observability tools, and excellent written and verbal communication.

Leads compute-focused cloud engineering initiatives involving software engineering, cloud platforms, containerization, orchestration, infrastructure provisioning, monitoring, logging, and cloud security. Provides technical leadership, independently solves complex design problems, guides technical teams, and collaborates cross-functionally to implement scalable cloud solutions and DevSecOps practices.

Implements, maintains, upgrades, monitors, and troubleshoots server infrastructure across operating systems, storage, virtualization, email, Active Directory, and cloud environments. Develops standards, procedures, documentation, and disaster recovery practices; supports users through tickets and direct assistance; manages equipment procurement and installation subcontractors; participates in projects; and provides on-call and remote support.

Develop and maintain headless eCommerce storefronts using Next.js and Salesforce Commerce Cloud, integrate with SFCC APIs and third-party services, build responsive SEO-friendly web apps, collaborate with UX/backend/QA, and optimize storefront performance.

Owns highly available AWS and EKS platforms, CI/CD pipelines, infrastructure as code, observability, incident response, reliability engineering, and security operations. The role designs resilient cloud environments, manages Kubernetes and Docker workloads, automates delivery and operations, leads major-incident response, establishes SLOs, and coordinates vulnerability remediation. It also mentors engineers and improves production readiness, disaster recovery, and operational efficiency.

Perform Level II ultrasonic shear wave and magnetic particle examinations in accordance with procedures, codes, standards, and specifications. Prepare instructions, document examination results, guide trainees, coordinate work priorities with managers and clients, and work independently in industrial environments. The assignment requires extensive travel, long shifts, work at heights and in confined spaces, and handling hazardous materials.

Leads an integrated data, AI, analytics, and product engineering organization. Owns strategy, roadmaps, architecture, technical standards, production service levels, AI governance, client relationships, budgets, hiring, and organizational growth. Directs delivery of data platforms, dashboards, machine learning models, generative AI solutions, and full-stack applications while ensuring measurable business value, operational stability, responsible AI practices, and strong stakeholder governance.

Leads and scales the SDET team, defining test automation strategy across web, mobile, and API layers. Oversees automation frameworks, CI/CD integration, release readiness, quality gates, performance and security testing, and testing infrastructure for cloud-native microservices. Partners with engineering and release teams to improve quality and delivery speed while using GenAI tools to enhance test productivity. Mentors engineers, establishes quality standards, and drives continuous improvement.

Lead Procore’s enterprise data platform engineering team in Bengaluru. Own infrastructure, reliability, DevOps, governance, security, cost optimization, monitoring, and production support across Snowflake, Databricks, AWS, and related data tools. Build self-service platform capabilities, establish global support processes, drive the technical roadmap, and partner with business and engineering teams. Hire, develop, and retain a high-performing team while ensuring platform scalability, compliance, and usability for data and AI initiatives.