Top AWS Jobs in Pune

Own Plane Cloud infrastructure and self-hosted deployment paths across AWS, Kubernetes, Terraform, CI/CD, GitOps, observability, and security. Build reliable installations and upgrades for customer, sovereign, and air-gapped environments. Operate production systems, respond to incidents, debug issues across networking and application layers, and improve defaults and documentation. Collaborate with engineering teams, customer platform teams, and open-source contributors.

Own architecture for global web, mobile, and integration platforms. Modernize legacy .NET portals into scalable AWS cloud-native solutions, define architecture and API standards, lead design and code reviews, contribute to .NET development and production support, and mentor engineers. The role includes architecting ASP.NET MVC and React applications, REST services, microservices, event-driven systems, and enterprise integrations, with on-call responsibilities and a focus on development efficiency and AI tooling.

Design, build, and maintain high-performance backend systems and scalable APIs using Python and FastAPI. Integrate AI-driven solutions (Generative/Agentic AI), work with Databricks and SQL/RDBMS, collaborate with cross-functional teams, optimize performance, and contribute to architecture and technical decisions.

Provides developer-grade technical support for customer and internal application issues. Investigates code, APIs, authentication, databases, logs, telemetry, cloud components, and distributed systems to reproduce defects and identify root causes. Partners with Engineering, Product, QA, and customers to resolve issues, creates technical escalations and documentation, supports releases and production incidents, improves diagnostic tooling, and mentors junior support engineers. The role emphasizes code comprehension, debugging, integration troubleshooting, and production investigation rather than feature development.

Designs and maintains scalable automated testing frameworks across enterprise applications. Responsibilities include UI, API, integration, performance, security, CI/CD, cloud-native, Salesforce, Python, .NET, and web application testing. The role establishes quality standards, automated quality gates, test data practices, defect investigations, quality metrics, and continuous improvement while mentoring junior QA resources.

Own and improve multi-cloud production infrastructure across GCP, AWS, and Azure. Build developer platforms, CI/CD pipelines, deployment automation, Terraform modules, and production Kubernetes environments. Lead incident response, root-cause remediation, observability, networking, security, cost optimization, and reliability initiatives. The role requires hands-on automation and programming, collaboration with security and application teams, mentoring, global on-call participation, and regular overlap with U.S. Pacific Time.

Leads complex security technology installations, integrations, deployments, configurations, troubleshooting, and incident response. Coordinates engineers, mentors technical staff, engages clients and vendors, contributes to solution design, and manages project documentation. Requires advanced SOC, SIEM, cloud, security-control, incident-management, automation, scripting, and client-support experience, along with a degree and mandatory vendor certification.

Monitors, validates, triages, documents, and escalates security alerts across endpoint, identity, email, network, vulnerability, and cloud platforms. Performs initial investigations of phishing, suspicious authentication, endpoint alerts, and user-reported events using SIEM, EDR, KQL, and established playbooks. Maintains investigation evidence and tickets, supports vulnerability remediation, collaborates with security and IT teams, and contributes to knowledge articles while developing incident response and threat-hunting skills.

Manage SAP systems across on-premise and cloud (AWS/Azure/GCP) including BASIS administration, HANA DB maintenance, system monitoring (SolMan/Cloud ALM), troubleshooting, RISE/Fiori/integration support, and cloud operations and cost optimization.

Designs and delivers enterprise AI solutions on SAP BTP using SAP AI Core, AI Launchpad, Joule, ML services, and SAP Build Process Automation. Responsibilities include developing AI/ML models, integrating Joule with SAP business applications, delivering intelligent workflows, defining AI architecture and MLOps pipelines, and creating Clean Core-aligned extensions across multi-cloud environments.

Manage SAP BASIS and BTP environments, including installations, upgrades, patching, monitoring, troubleshooting, security, connectivity, user administration, and high-availability configurations. Administer SAP HANA, Cloud Connector, Integration Suite, BTP services, and Cloud ALM. Support SAP implementations, on-premises-to-cloud and RISE migrations, infrastructure dependencies, OpenText components, transports, performance, automation, and operational availability.

Build and maintain systems connecting Masabi’s fare collection platform with validators, faregates, fareboxes, point-of-sale terminals, and onboard vehicle systems. Responsibilities include Android applications, embedded device integrations, cloud services, testing, CI/CD, infrastructure as code, monitoring, releases, and troubleshooting across devices and cloud environments. The role requires collaboration with engineers, testers, and product partners in a fully remote India-based contract position aligned with UK working hours.

Build and operate AI research products involving hybrid retrieval, paper-to-video matching, RAG, agentic pipelines, protocol understanding, and cited scientific answers. Develop evaluation frameworks, production LLM services, APIs, MCP integrations, and search instrumentation. Collaborate with product teams, scientists, editors, and engineers while optimizing relevance, citation accuracy, latency, and cost.

Build and operate internal AI platforms for developer workflows and AI-assisted operations. Integrate AI into CI/CD and engineering toolchains, implement quality and compliance guardrails, support HIPAA/GxP and FedRAMP-boundary environments, and develop anomaly detection, incident triage, runbook automation, and self-healing capabilities. Partner with engineering, security, compliance, and leadership to establish responsible AI standards and measure improvements in engineering throughput and operational reliability.

Own email platform modules end to end, from architecture and prototyping through production operation and optimization. Build scalable Node.js and TypeScript services, Vue.js interfaces, APIs, sending infrastructure, analytics, and AI-powered features supporting 40M+ daily emails. Ensure reliability through idempotency, retries, caching, monitoring, testing, security, and data integrity. Operate production systems, respond to incidents, improve deliverability, and make architecture decisions for large-scale growth.

Develop and maintain scalable React web applications, create responsive user interfaces, write unit and integration tests, optimize performance, and troubleshoot cross-browser issues. Collaborate with product, design, backend, and QA teams in an Agile environment. Contribute to solution design, monitoring, CI/CD workflows, and enterprise-scale application development while mentoring junior developers.

Develop and maintain full-stack applications using .NET, React, relational databases, APIs, and cloud services. Responsibilities include database development and migrations, system integrations, automated testing, secure coding, troubleshooting, code reviews, CI/CD support, deployments, monitoring, documentation, and stakeholder collaboration. The role also contributes to AI/ML-enabled application features using AWS services and supports releases, user acceptance testing, and production stabilization.

Build and support large-scale, real-time kdb+ analytics platforms processing billions of daily messages. Develop kdb Insights or KDB-X modules, packages, pipelines, performant q queries, and functions for trading desks. Create SRE tools to detect performance bottlenecks across q, Python, and Java processes running continuously in AWS. Support ingestion stability, Kubernetes deployments, PyKX data processing, and cloud-native analytics infrastructure.

Build and operate production data platforms, tooling, and infrastructure supporting autonomous pipeline delivery. Own monitoring, alerting, DataOps, Kafka, Kubernetes, Terraform, AWS, Databricks/Spark, dbt, and Airflow environments. Improve platform reliability, troubleshoot production issues, and partner with product, analytics, and infrastructure teams. Champion AI adoption and automation while enabling high-throughput, low-latency data processing and strong developer experience.

Monitor, investigate, triage, and respond to security alerts and incidents in a hybrid-cloud environment. Maintain EDR, SIEM, vulnerability scanning, and other security technologies; review logs, analyze events, support vulnerability management and incident response, conduct compliance reviews, document findings, deliver security awareness training, and participate in on-call and weekend support rotations.

Build and maintain healthcare technology products, including APIs, platform features, ReactJS components, and AI/ML solutions. Responsibilities include debugging production issues, improving performance, writing tests, conducting code and architecture reviews, leading releases, mentoring engineers, and collaborating with cross-functional teams. Potential areas include telemedicine, pharmacy platforms, delivery, personalization, fraud detection, and operational automation.

Design, develop, and deploy production-grade AI applications focused on agentic AI, multi-agent systems, RAG, and cloud solutions. Build Python and FastAPI backends, integrate LLMs and enterprise data, deploy applications with Docker and Kubernetes, and implement evaluation, observability, security, reliability, and responsible AI practices. Collaborate with product, engineering, and business teams to deliver scalable AI solutions.

Lead and develop a software engineering team while providing technical guidance on scalable platform and API solutions. Responsibilities include mentoring engineers, managing performance and hiring, translating stakeholder requirements, improving engineering processes, coordinating cross-functional delivery, and resolving systemic delivery and reliability obstacles. The role requires hands-on technical judgment across Node.js, GraphQL, React, AWS, distributed systems, API design, and modern DevOps practices.

Lead the design, implementation, deployment, and operation of machine-learning platform capabilities. Build scalable systems for model serving, feature computation, data validation, workflow orchestration, monitoring, and production support. Own complex initiatives and investigations end to end, improve reliability and developer experience, mentor engineers, conduct design reviews, and guide technical strategy while partnering with Data Science, Product, Risk, Fraud, and Engineering teams.

Develop and maintain scalable backend APIs and services, manage AWS infrastructure, automate CI/CD deployments, design databases, implement security and monitoring, and collaborate with frontend, product, and DevOps teams. The role involves Node.js and Python development, RESTful APIs, WebSockets, Docker, Kubernetes, MongoDB, PostgreSQL, and deployment tools such as ArgoCD and Jenkins.