Top AWS Jobs in Pune

Design and deliver production-grade AI/ML architectures for education and assessment platforms. Translate stakeholder requirements into secure, cost-aware blueprints covering RAG, multi-agent systems, LLM judging, OCR, human review, cloud infrastructure, LLMOps/MLOps, observability, governance, and evaluation. Lead workshops, architecture decisions, production readiness, FinOps, sovereign hosting, and technical mentorship across international government and education programs.

Architect and build production-grade agentic systems and shared AI platform services at enterprise scale. Develop agent orchestration, tool and MCP integrations, LLM gateways, evaluation frameworks, observability, safety controls, and cloud infrastructure. Drive reliability, cost optimization, AI-first engineering practices, technical standards, cross-team alignment, and mentorship while remaining hands-on with coding, architecture, and production debugging.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Leads the architecture, development, deployment, and scaling of enterprise AI solutions for finance automation. Integrates LLMs with SAP, Salesforce, and cloud platforms; establishes prompt engineering, CI/CD, security, governance, monitoring, and data practices. Mentors developers, leads technical strategy and vendor evaluations, presents to executives, and drives reliable AI platforms supporting financial processes, analytics, reporting, and global operations.

Designs and maintains scalable cloud infrastructure for cloud-native applications. Develops CI/CD pipelines, infrastructure-as-code, observability, monitoring, and automation solutions. Leads incident response, troubleshooting, root-cause analysis, and post-mortems while improving reliability, performance, security, and availability. Collaborates with development teams on secure, scalable application practices and supports compliance audits.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; develops CI/CD pipelines; manages infrastructure as code, containers, monitoring, logging, and alerting. Leads incident response, root cause analysis, postmortems, security compliance, and operational automation. Collaborates with development teams on reliability and scalability, troubleshoots production systems, and mentors junior engineers.

Design, build, and maintain scalable cloud infrastructure and CI/CD pipelines. Monitor and optimize reliability, performance, and availability; lead incident response and root cause analysis; implement infrastructure as code and observability solutions; automate operational tasks; collaborate with development teams on secure, reliable applications; and support security compliance and audits.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; builds CI/CD pipelines; manages infrastructure as code; develops observability solutions; leads incident response and root-cause analysis; automates operational tasks; optimizes reliability and performance; and supports application security, compliance, and audits.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; builds CI/CD pipelines; manages infrastructure as code; develops observability solutions; monitors and optimizes reliability; leads incident response and root-cause analysis; automates operational tasks; collaborates with development teams on secure, reliable systems; ensures compliance; and mentors junior engineers.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; builds CI/CD pipelines; manages infrastructure as code, containers, observability, and automation. Leads incident response, troubleshooting, root-cause analysis, and postmortems while improving system reliability, performance, availability, and security. Collaborates with development teams on cloud-native application reliability and participates in compliance audits.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

The Senior Solutions Architect advises Professional Services teams on complex Edwin AI implementations, including customer discovery, solution design, integrations, estimates, statements of work, deployment oversight, troubleshooting, and technical escalations. The role defines delivery best practices, mentors regional teams, ensures consistent global delivery, collaborates with product and project teams, contributes customer feedback to the product roadmap, and supports professional services package development. Travel of up to 25% is required.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Leads enterprise architecture strategy for GMPD Technology, aligning business objectives with scalable business, application, data, and technology architectures. Develops roadmaps, standards, governance, and reference architectures; guides solution delivery and evaluates risk, ROI, vendors, and emerging technologies. Partners with technical and business stakeholders, supports cloud and data architecture initiatives, communicates with senior leadership, and promotes architecture practices across complex transformation programs.

Modernize legacy Hadoop and Spark workflows by migrating them to AWS and Databricks, while building AI-ready data pipelines, intelligent agents, LLM applications, and RAG solutions. Maintain existing big data infrastructure, optimize Delta Lake workloads, resolve performance issues, and support BI stakeholders by troubleshooting dashboards and data extracts.

Design and implement end-to-end automation frameworks and testing strategies for complex frontend and backend features. Own automation roadmaps, improve test coverage and reliability, and build functional, performance, resiliency, and security testing integrated with CI/CD. Develop AI-assisted and agentic QA workflows, scalable testing infrastructure for distributed and cloud-native systems, observability-driven validation, and predictive quality tooling. Collaborate cross-functionally with engineering, product, platform, and QA teams while mentoring other engineers.

Lead the architecture, development, and release of cross-platform React Native applications for client products. Build native iOS and Android modules, mentor engineers, manage CI/CD and app-store releases, integrate APIs and third-party services, and establish responsible AI-assisted development practices. Collaborate with clients and cross-functional teams on feasibility, roadmaps, proposals, and solution architecture while ensuring performance, security, accessibility, and code quality.

Leads pre-sales technical engagements for enterprise BFSI customers, including discovery, demonstrations, proof-of-value prototypes, solution architecture, workshops, competitive positioning, and technical win execution. Partners with hyperscalers, systems integrators, and ISVs on joint solutions and co-selling. Collaborates with sales and professional services teams, presents thought leadership, supports developer communities, and travels to customer and partner events as required.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Leads mainframe modernization and migration initiatives for large global clients. Develops transformation and re-platforming solutions, conducts discovery workshops, presents technical and business cases, advises executives, and partners with sales, consulting, operations, and product teams. Requires extensive mainframe expertise across legacy technologies, migration architecture, data modernization, cloud and hybrid environments, and enterprise hosting. The role also supports AI-driven modernization, technical documentation, project lifecycle management, and client relationship development.

Develop scalable full-stack applications using Java, React.js, Spring Boot microservices, Kafka, and AWS. Responsibilities include REST API development, cloud deployment, CI/CD, database integration, performance optimization, security, monitoring, logging, and production-ready code delivery. The role requires expertise in Java concurrency, event-driven architecture, Docker, Jenkins, Redis, observability tools, and SQL databases.

The Software Engineer will design and improve software solutions, ensure code quality, collaborate with teams, and lead projects aligned with business objectives.

Designs and oversees scalable GCP cloud architectures and data platforms. Builds Python-based ETL/ELT pipelines using BigQuery, Cloud Functions, Cloud Run, Composer, Dataform, Pub/Sub, and Eventarc. Integrates external APIs, automates CI/CD, optimizes data processing costs, and ensures security, governance, and compliance. The role also collaborates with stakeholders, guides other architects, manages solution governance, and translates business requirements into maintainable data engineering solutions.