Top AWS Jobs in Pune

Own the architecture and delivery of production-grade generative and agentic AI systems, including LLM agents, RAG pipelines, multi-agent workflows, APIs, and cloud-native services. Establish AI engineering, evaluation, observability, guardrail, and LLMOps practices while mentoring AI/ML and backend engineers. Collaborate with Product, Data, Platform, Security, and Compliance teams to deliver scalable, secure, and business-ready solutions, and provide technical direction on GenAI strategy and architecture.

Manage and support plant IT infrastructure, including Windows and Linux servers, Active Directory, networking, virtualization, backups, monitoring, security, and disaster recovery. Provide L2/L3 user support, maintain system availability, troubleshoot connectivity and performance issues, coordinate with vendors and ISPs, support onboarding and offboarding, and ensure documentation, compliance, audit readiness, and minimal operational downtime.

Leads customer-facing design and implementation of cloud, platform, infrastructure, data, and AI solutions. Responsibilities include cloud migration and modernization, Infrastructure as Code, CI/CD, Kubernetes, automation, GitOps, platform security, observability, and AI-assisted development. The consultant conducts workshops, creates reusable platform capabilities, enables responsible AI adoption, mentors engineers, supports proposals and pre-sales, and ensures secure, reliable, governed, and cost-effective production solutions.

Build and maintain production-grade full-stack web applications using Node.js, Express.js, React.js, Next.js, and AWS. Design payment, billing, invoicing, subscription, refund, and reconciliation workflows; develop secure APIs and transactional data models; improve repositories and Git workflows; support deployments, monitoring, debugging, refactoring, documentation, and architectural discussions. Collaborate with distributed product, design, QA, and business teams while using AI-powered development tools to accelerate delivery and resolve issues.

Develop and maintain production-grade full-stack web applications using Node.js, Express.js, React.js, Next.js, and AWS. Build payment, billing, invoicing, subscription, refund, and reconciliation workflows with secure APIs and transactional data models. Manage Git branching, code quality, documentation, deployments, monitoring, and issue resolution. Collaborate with product, design, QA, and business teams in a remote Agile environment while using AI development tools to accelerate coding, debugging, refactoring, and testing.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG solutions using Python and AWS Bedrock. Build REST APIs and microservices with FastAPI or Flask, deploy scalable cloud infrastructure, manage containerized workloads, and develop data pipelines and ETL processes. Work with relational and NoSQL databases, CI/CD, and AWS services while collaborating with technical and product teams and documenting AI workflows.

Develop and maintain ScienceLogic’s internal developer platform, including Kubernetes environments, CI/CD pipelines, container tooling, and infrastructure-as-code. Collaborate with development teams to understand workflows, enforce software engineering and container best practices, evaluate technologies, and contribute to architecture decisions. The role also involves documenting standards, supporting observability and logging, and implementing DevSecOps practices such as secure build pipelines and compliance automation.

Lead strategic design, architecture, and hands-on implementation of Elastic Stack and Search AI solutions for enterprise customers. Conduct workshops, gather requirements, develop proofs of concept, optimize queries and clusters, and deliver scalable search platforms. Manage project objectives, dependencies, timelines, and customer relationships. Collaborate with engineering, product, support, and sales teams, provide product feedback, assess technical risks, and mentor team members. Periodic client-site travel of up to 20% is required.

Design and implement scalable Elastic Stack observability and Search AI solutions for enterprise customers. Lead workshops, requirements gathering, architectural planning, proofs of concept, data modeling, query optimization, cluster tuning, and end-to-end project delivery. Advise customers, manage engagement timelines and dependencies, collaborate with engineering and product teams, support presales scoping, and mentor consultants. The role requires hands-on cloud, infrastructure, networking, security, containerization, automation, and programming experience, with periodic client-site travel up to 20%.

Lead design, development, and deployment of production-grade LLM and RAG-based AI solutions. Improve retrieval performance, build automated evaluation and validation frameworks, instrument pgvector retrieval KPIs, integrate metrics into CI/CD, and mentor mid-level engineers while driving technical reviews and best practices.

Perform application and product penetration testing across embedded devices, mobile, web, and cloud (AWS/Azure); reverse engineer firmware/protocols; conduct protocol and wireless analysis; create technical reports and PoC code; mentor junior testers; drive testing process improvements and support incident/vulnerability response.

Develop and deliver scalable SaaS features, focusing on backend systems. Perform code reviews, improve code quality, mentor and coach developers, prioritize work, communicate across teams, and drive development best practices and initiatives.

The Senior Software Engineer I develops quality software, partners with cross-functional teams, and maintains high coding standards while focusing on software deliverables.

Design, develop, and refactor scalable, secure .NET-based cloud services on Azure/AWS. Lead code quality, performance optimization, API integration, mentoring, CI/CD improvements, and production troubleshooting while collaborating with product, QA, and architects.

Own the architecture and technical direction of large-scale distributed applications. Build secure, scalable Python backend services, contribute to Java services, guide platform strategy, mentor engineers, and establish engineering standards. Improve reliability, observability, automation, developer experience, security, testing, and operational excellence. Use AI-assisted development tools responsibly to increase productivity while maintaining software quality. Collaborate cross-functionally and lead through technical excellence, pragmatic architecture, and strong ownership.

Own enterprise AI engagements from discovery through production deployment. Design, build, integrate, debug, evaluate, and harden agentic systems using LLMs, RAG, tool calling, workflows, and guardrails. Lead technical workshops, proofs of concept, solution scoping, and executive ROI discussions. Measure adoption, containment, accuracy, and cost outcomes; create reusable delivery assets; enable partners; and provide product feedback. The role is customer-embedded and requires sustained on-site presence during engagements.

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.

Architect and operate scalable, reliable infrastructure across Kubernetes, AWS, RDS, and distributed microservices. Lead capacity planning, benchmarking, observability, alerting, SLA enforcement, security, CI/CD, and infrastructure roadmap initiatives. Apply AI and automation to improve reliability and developer productivity. Optimize databases and production systems, identify bottlenecks, mentor engineers, and translate business objectives into technical roadmaps. The role requires strong Golang, backend, SRE, distributed systems, database, and cloud expertise.

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 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.

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.