Top AWS Jobs in Pune

Own the product’s engineering end to end as the sole initial engineer. Build and operate the AI coaching system, including prompting, conversation state, retrieval, model evaluation, moderation, and crisis safety mechanisms. Develop the Python backend, React Native mobile apps, React website, subscriptions, infrastructure, CI/CD, monitoring, and releases. Translate technical decisions for a nontechnical founder and clinical team while maintaining strong privacy, security, product quality, and responsible AI practices.

Owns and optimizes shared demo environments for contact center and customer experience solutions. Designs reusable demonstrations and integrations using Zendesk, Amazon Connect, and AWS; supports custom presales demos and proof-of-concepts; manages releases, governance, security, reliability, cost, and automation; and creates technical documentation. Collaborates with internal teams, customers, vendors, and partners while independently prioritizing work and incorporating AI, analytics, and emerging platform capabilities.

Lead technical architecture for fintech and content platforms, ensure scalability, security, and regulatory compliance (SEBI, IRDAI, PCI-DSS), review designs, and guide backend and mobile engineering teams to align delivery with business goals.

Deploys, configures, and maintains enterprise applications on Azure Kubernetes Service and Amazon EKS. Designs Kubernetes cluster architecture, networking, ingress, service meshes, and workloads; implements autoscaling and observability; hardens containers and enforces security controls; and integrates clusters with Azure and AWS services, identity, secrets management, storage, and networking.

Deploys, configures, and manages enterprise Kubernetes workloads across Azure AKS and Amazon EKS. Responsibilities include cluster architecture, application orchestration, Helm-based releases, KEDA autoscaling, observability, container security, image hardening, RBAC, network policies, secrets management, and integration with AWS and Azure services. The role requires deep Kubernetes operational expertise and extensive IT experience.

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.

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.

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.

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.

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.

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.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Design, build, and operate distributed platform services and APIs using TypeScript and Go. Improve scalability, reliability, observability, and cost efficiency; develop data-intensive workflows and event-driven pipelines; manage SLIs/SLOs, incident response, CI/CD, and production releases. Partner with product teams on end-to-end delivery, write design documents and tests, and participate in on-call rotations for large-scale systems.

Leads complex enterprise API integration projects for APAC customers from architecture through post-launch optimization. Responsibilities include defining scope and milestones, managing partners and resources, mitigating project risks, advising executives and technical teams, troubleshooting live integrations using logs and performance metrics, evaluating partner performance, and mentoring Technical Account Managers. The role requires close collaboration with customers, implementation partners, system integrators, and internal teams.

Own product security end to end, including vulnerability identification and remediation, secure SDLC practices, SOC 2 compliance, incident response, access controls, data protection, security tooling, vendor assessments, and audit readiness. Partner directly with engineering teams, review production code, strengthen security culture, communicate risk to leadership and external stakeholders, and support evolving compliance requirements such as ISO 27001.

Develop and lead scalable cloud-native SaaS features using ReactJS, TypeScript, GraphQL, and NodeJS. Translate business needs into technical solutions, troubleshoot complex issues, mentor junior engineers, improve development processes, and advocate for modern technologies. Collaborate cross-functionally and with customers to deliver high-quality government software, including AI-driven user experiences, agents, and workflow automation.

Build, deploy, and maintain customer-facing production software for frontier AI labs. Develop full-stack applications with React, TypeScript, and backend technologies; translate customer requirements into scalable solutions; and improve reliability, performance, and maintainability. Collaborate with engineering, research, product, operations, and globally distributed teams while contributing to customer deployments and the growth of Handshake AI’s engineering organization in India.

Lead development of scalable enterprise applications using Java and full-stack technologies. Responsibilities include hands-on coding, code reviews, team leadership and mentoring, stakeholder collaboration, CI/CD and cloud deployment, performance and security optimization, and technical roadmap development. The role requires expertise in Java, Spring Boot, front-end frameworks, microservices, cloud platforms, containerization, databases, and Agile practices.

Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.

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.

Build foundational AI and machine learning capabilities for Twilio’s Customer Memory platform. Responsibilities include researching LLM orchestration, retrieval, personalization, and autonomous agents; designing rigorous experiments; and deploying production-grade ML systems at scale. The role requires end-to-end ownership, cloud-based services, high-volume or real-time inference, technical leadership, mentorship, and collaboration across globally distributed teams.

Define and execute enterprise technology architecture strategy across application, platform, infrastructure, integration, data, and cloud domains. Establish architecture standards, governance frameworks, review boards, and operating models while guiding modernization, microservices, API-driven systems, Azure cloud adoption, data platforms, AI/GenAI, automation, security, and cost optimization. Partner with business, product, engineering, and senior leadership to align technology decisions with business value, scalability, compliance, and innovation.

Provides global technical support for AlgoSec customers and partners, troubleshooting cloud infrastructure, Linux systems, applications, networking, security environments, and enterprise software. Investigates complex issues, coordinates with Support, R&D, Delivery, Product, and Sales teams, manages cases through resolution, and develops scripts and automations to improve support efficiency and reliability. Maintains technical documentation and contributes to support process improvement while working flexible hours in a 24x7 organization.

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.

Build and maintain cloud data architectures, ETL pipelines, data warehouses, and data lakes. Develop scalable processing and analysis algorithms, ensure data quality, security, governance, and accessibility, and collaborate with data scientists to deploy machine learning models. The role requires advanced SQL, cloud platforms, big data technologies, dimensional modeling, automation scripting, and enterprise ETL experience. It also involves technical problem-solving, stakeholder communication, risk management, and potentially leading a team.