Top AWS Jobs in Pune

Lead data science efforts by analyzing large datasets, developing and deploying ML models, building scalable data pipelines, designing experiments (A/B testing), creating visualizations, and mentoring junior team members to drive data-driven decisions.

Design, develop, and maintain enterprise-grade ServiceNow solutions (ITSM/ITOM/IRM/GRC/CSM/etc.) in a FedRAMP environment. Build workflows, integrations (REST/SOAP/MID/Integration Hub), maintain CMDB health, lead DevOps/CI-CD and ATF, conduct code reviews, mentor juniors, manage upgrades/patches, ensure platform security/compliance, and provide on-call production support.

Lead the Monetization Infrastructure engineering team, provide hands-on technical leadership, ensure high uptime and incident management, collaborate with Finance and Product, drive operational excellence, and champion adoption of AI-assisted SDLC practices.

Lead frontend architecture and development using React. Build reusable components, integrate REST/GraphQL APIs, optimize performance, ensure responsive/cross-browser UIs, mentor developers, conduct code reviews, and participate in Agile processes.

Define and drive application and solution architectures, align technical solutions with business needs, support IT strategy and broad initiatives, create system diagrams, improve AI usage, and support project initiation, feasibility and analysis phases.

The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.

Designs and evolves reusable Java backend frameworks and platform components, leads large-scale modernization and migration initiatives, and resolves complex distributed-systems issues. The role establishes architecture standards, API and security practices, and deployment patterns across Spring, Kafka, AWS, Docker, Kubernetes, and database platforms. It also builds technology proofs of concept, mentors architects and engineers, drives AI-assisted development and observability adoption, and collaborates with architecture, product, and engineering stakeholders.

Design, implement, and maintain AWS-based CI/CD solutions using Jenkins. Manage build environments, operating systems, software, and multiple AWS accounts. Collaborate across teams to develop DevOps solutions, promote agile practices, and troubleshoot CI and production issues. The role also involves applying AI tools, coding assistants, agents, MCPs, and agentic SDLC practices to improve testing, troubleshooting, and workflows.

Design and deliver intelligent platforms, automation solutions, and AI-driven capabilities. Analyze complex production systems, identify failure modes, and improve reliability, efficiency, productivity, and mean time to recovery through AI, automation, operational intelligence, and modern engineering practices. Build scalable cloud-native solutions using Kubernetes, APIs, MLOps, generative AI, and workflow orchestration while mentoring teammates and driving continuous improvement.

Build, test, and deploy AI-powered applications using LLMs and RAG. Develop REST APIs and microservices, implement ingestion, preprocessing, and indexing pipelines, integrate cloud and LLM providers, evaluate model performance, and follow CI/CD, testing, and observability best practices.

Lead platform product strategy and roadmap for a payments platform. Collaborate with engineering, architecture, QA, and operations to prioritize backlog, enforce NFRs, ensure regulatory compliance, optimize infrastructure and platform performance, and communicate platform capabilities to stakeholders.

Lead architecture and delivery of enterprise AI platforms and products. Define AI standards, drive GenAI adoption, build scalable MLOps and observability, mentor engineers, and guide technical strategy.

Design and maintain scalable Java and Spring Boot backend services, REST APIs, microservices, and event-driven systems. Build cloud-native applications using Docker, Kubernetes, and AWS while ensuring reliability, security, observability, and performance. Use AI-assisted development tools for coding, testing, debugging, documentation, and reviews. Participate in architecture discussions, production support, incident response, and on-call rotations. Collaborate across engineering and product teams and mentor other engineers.

Drive enterprise sales growth for Akamai Cloud Infrastructure Services by developing new accounts, building strategic account plans, advising executive stakeholders, and identifying cloud, compute, and AI workload opportunities. Lead consultative cross-selling and upselling, manage complex infrastructure deals, forecast pipelines, negotiate contracts, and coordinate enterprise sales teams and technical specialists through close and adoption.

Develop Python applications, APIs, automation tools, and platform capabilities while supporting CI/CD, Docker, Kubernetes, cloud and on-premise deployments. Implement observability, monitoring, alerting, and SRE practices including SLIs, SLOs, error budgets, incident response, disaster recovery, and root cause analysis. Troubleshoot production systems, automate recurring operational work, maintain documentation, and collaborate across engineering, security, platform, product, operations, and external teams.

Administer and maintain enterprise Linux servers across RHEL, Oracle Linux, Ubuntu, and Debian environments. Manage patching, upgrades, vulnerabilities, security compliance, production incidents, and system reliability. Automate operational tasks with Ansible and Bash, troubleshoot operating system, application, middleware, and networking issues, and support GCP infrastructure. Build infrastructure for new projects and proofs of concept, document technical processes, and collaborate with infrastructure and security teams.

Monitor and support critical production systems in a 24/7 remote NOC environment. Responsibilities include production support, incident triage and escalation, major incident bridge coordination, application and infrastructure monitoring, log analysis, alert management, and correlating data across cloud, APM, logging, and network monitoring platforms.

Design, build, and operate a resilient, high-performance infrastructure platform across on‑prem and multi‑cloud. Implement automation (Terraform, Ansible), scripting (Python, PowerShell), performance tuning, HA/clustering, DB and hypervisor management, and support platform vision with product teams, POCs, documentation, and external representation.

Design, build, and support ServiceNow-centric integrations and AWS serverless components. Troubleshoot production integration issues, communicate with clients and teams, participate in agile processes, and maintain integration documentation and runbooks.

Develop and test software applications, debug technical issues, document solutions, research and resolve problems, and collaborate with senior leaders and cross-functional teams. The intern will create software solutions, learn emerging technologies, and work with React, Node.js, or Python. The internship lasts at least three months, with potential full-time continuation based on performance.

Lead a scrum team to deliver full‑lifecycle web applications across backend, frontend, and data layers. Hands‑on development in PHP, Lucee, and React; enforce architecture standards, testing, CI/CD, code reviews, and mentor engineers while coordinating with product and stakeholders.

Provide L3 support and platform engineering for the Domino Data Lab platform. Troubleshoot production incidents involving workspaces, models, jobs, connectivity, access, and performance; conduct root-cause analysis and implement permanent fixes. Manage upgrades, patching, monitoring, tuning, and reliability for enterprise data science and AI/ML workloads. Support Python and R environments, ML workflows, Kubernetes, Docker, AWS, SageMaker, and Azure Machine Learning integrations in regulated or life sciences environments.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

Design, build, and operate secure, highly available AWS infrastructure using Terraform and CI/CD. Automate provisioning, scaling, monitoring, incident response, security, and cost optimization for high-traffic systems.

Design, develop, and deploy enterprise AI/ML solutions including GenAI, LLM-based RAG systems, and agentic AI. Build scalable models, integrations, monitoring, and reusable frameworks while collaborating with stakeholders for production adoption and continuous improvement.