Top AWS Jobs in Pune

Support, maintain, troubleshoot, and optimize production Databricks applications, Spark jobs, SQL queries, Delta Lake pipelines, clusters, workflows, and workspace configurations. Implement data quality checks, logging, alerting, governance, security, and cost-management practices. Collaborate on enhancements and bug fixes, reduce technical debt, document operational processes, and participate in EST-aligned support rotations.

Develop and operate backend systems using Java, Python, AWS, microservices, databases, queues, and event-driven architectures. Responsibilities include designing scalable services, integrating third-party APIs, improving performance and observability, managing production Docker deployments, conducting incident reviews, writing architecture documentation, mentoring engineers, and owning systems through launch, on-call, and ongoing optimization. The role also requires daily use and review of AI-assisted coding tools.

Lead the design and development of scalable full-stack web applications and distributed systems, guiding engineering teams and ensuring best practices in software development.

Develop and lead end-to-end features for scalable cloud-native SaaS applications using ReactJS, TypeScript, NodeJS, GraphQL, and modern cloud technologies. Translate customer and business needs into technical solutions, troubleshoot complex issues, mentor engineers, improve development processes, and guide adoption of emerging technologies, including AI-driven user experiences and workflow automation.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test frameworks; developing tests with Python, Java, or Go; integrating testing into CI/CD pipelines; applying AI/ML for test generation and defect analysis; analyzing network and test data; and collaborating with development, product, and QA teams.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test suites; integrating testing into CI/CD pipelines; applying AI/ML for test generation, anomaly detection, defect prediction, and self-healing automation; analyzing network and test data; and collaborating with development, product, and QA teams.

Design and deliver scalable Generative AI solutions using LLMs, RAG, AI agents, vector databases, and multimodal models. Lead cloud, MLOps, security, governance, and architecture strategies across AWS, Azure, and Google Cloud. Translate business needs into technical solutions, support client workshops and pre-sales, present strategies to executives, and mentor data science, ML engineering, and software teams.

Lead the architecture, modernization, integration, and governance of enterprise Adobe Experience Manager platforms. Design scalable Sites, Assets, headless, composable, and Edge Delivery Services solutions; guide migrations to AEM Cloud Service; and define integration, performance, security, and deployment strategies. Serve as the client CMS technology SME, lead technical teams and proofs of concept, mentor engineers, and advise on emerging Adobe capabilities. Collaborate with stakeholders to deliver reusable frameworks, modernization roadmaps, and AI-assisted development practices.

Performs application risk assessments, validates security controls, identifies and rates vulnerabilities, documents findings, tracks remediation, and maintains GRC records. Partners with engineering, product teams, and application owners to improve security throughout the application lifecycle. The role also contributes to playbooks, templates, process improvements, and clear communication of technical risks using frameworks such as NIST CSF and ISO 27001.

Owns DevOps delivery infrastructure across on-premises, cloud, hybrid edge-cloud, and air-gapped environments. Designs GitLab CI/CD pipelines, manages Docker and Kubernetes platforms, implements Terraform and Ansible infrastructure automation, and supports multi-cloud deployments. Leads release management, security and compliance automation, observability, reliability engineering, and automated rollback strategies. Develops Bash and Python tooling while collaborating with architects, developers, QA, and product teams to improve delivery practices and platform resilience.

Leads enterprise AEM architecture, modernization, integrations, and digital experience platform strategy. Designs scalable Sites, Assets, headless, composable, and Edge Delivery Services solutions; guides technical teams and clients; establishes security, governance, performance, and deployment standards; and supports migrations to AEM as a Cloud Service. The role also mentors cross-functional teams, leads proofs of concept, evaluates emerging Adobe and AI-enabled capabilities, and translates complex technical recommendations into business value.

Maintain and optimize production LLM and VLM services, including Flask/FastAPI microservices, Dramatiq queues, REST APIs, and Uvicorn/Gunicorn deployments. Design prompt strategies, feedback and evaluation pipelines, and AI routing integrations while monitoring latency, token usage, quality, and errors. Collaborate with engineering teams on scalable microservices, Dockerized deployments, CI/CD, security, and cloud infrastructure.

Designs and leads automated and system-level testing for a large-scale distributed database engine. Responsibilities include developing test plans, regression suites, workload and performance testing, CI/QA infrastructure, debugging query behavior, analyzing bottlenecks, improving test coverage, and validating scalability and correctness. The role collaborates with development and leadership teams, supports escalated issues, owns database testing infrastructure, and mentors junior engineers.

Designs and leads automated and manual testing for a complex browser-based UI. Responsibilities include Playwright-based end-to-end automation, regression, accessibility, responsive and performance testing, backend/API/SQL validation, flaky test diagnosis, CI integration, design review, release sign-off, issue investigation, test strategy, and mentoring junior engineers.

Own and develop Blitzy’s mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. The role requires hands-on architecture, coding, system reliability, scalability, observability, data architecture, semantic retrieval, and enterprise software modernization. The Principal Engineer will drive complex technical initiatives, establish engineering standards, and contribute across backend, frontend, infrastructure, and AI systems without people-management responsibilities.

Leads DevOps strategy and execution across development, QA, and production environments. Builds CI/CD pipelines, manages infrastructure as code, administers container orchestration platforms, and improves system reliability, scalability, security, and performance across cloud and on-premises environments. Collaborates with engineering and operations teams, troubleshoots deployment issues, ensures governance compliance, and mentors junior engineers.

Owns architecture and technical roadmaps for core backend, infrastructure, and AI platform areas. Writes and reviews production code, resolves complex reliability issues, drives technical initiatives, improves software delivery practices, and mentors engineers. The role partners closely with company leadership and cross-functional stakeholders in an in-person environment while shaping scalable, secure, enterprise-grade systems.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Design, build, and maintain scalable backend services, REST APIs, distributed data pipelines, and enterprise data ingestion frameworks for a multitenant B2B SaaS platform. Own features from requirements through production, improve scalability and reliability, troubleshoot complex issues, conduct code reviews, mentor engineers, and collaborate with product, architecture, QA, and engineering teams.

Lead technical consultant responsible for the full software development lifecycle, including technical design, implementation, testing, deployment, documentation, and support. Builds enterprise AI and LLM applications using OpenAI, Anthropic, Gemini, agent frameworks, Java, Spring Boot, Python, microservices, databases, containers, Kubernetes, and cloud platforms. Collaborates with architects and developers to translate designs into technical solutions while ensuring security, resiliency, and enterprise architecture standards.

Lead technical consultant responsible for designing, developing, testing, deploying, documenting, and supporting enterprise applications. The role focuses on generative AI and LLM integrations using OpenAI, Anthropic, Gemini, prompt engineering, fine-tuning, and agent frameworks. Responsibilities also include Java and Spring Boot backend development, Python, Oracle, microservices, Docker, Kubernetes, cloud platforms, security, resiliency, and enterprise architecture. Requires 8+ years of software development experience and strong AI/LLM application expertise.

Lead technical consultant responsible for designing, developing, testing, deploying, documenting, and supporting enterprise applications. The role focuses on generative AI and LLM integrations using OpenAI, Anthropic, Gemini, agent frameworks, Java, Spring Boot, Python, microservices, databases, containers, Kubernetes, and cloud platforms. The consultant collaborates with architects and developers to translate designs into technical solutions and provides expertise in security, resiliency, and enterprise architecture.

Extracts, transforms, and analyzes media measurement data to identify insights, test hypotheses, and answer client and stakeholder questions. Leads data investigations, develops analytical solutions, supports sales feasibility reviews, and contributes to reporting tools and automation. Collaborates across teams, formulates technical approaches to open-ended problems, and improves analytical workflows using SQL, Python or R, ETL tools, cloud technologies, and Excel.

Design and build scalable Playwright and TypeScript UI/API automation frameworks, integrate testing into CI/CD, reduce flakiness, troubleshoot failures, and establish automation architecture and quality metrics. Apply Agentic AI, LLM evaluation, RAG testing, self-healing automation, and intelligent test analysis. Collaborate with engineering and product teams, contribute to test strategy and architecture reviews, mentor engineers, and develop reusable automation tools and AI-enabled quality engineering solutions.

Leads enterprise Data and AI consulting, solution architecture, presales, and delivery. Designs data management, cloud modernization, governance, analytics, GenAI, and agentic AI solutions using modern data and semantic technologies. Develops proposals, RFP/RFI responses, SOWs, estimates, roadmaps, business cases, and reusable accelerators. Conducts executive client workshops, guides implementation teams, and ensures scalable solutions deliver measurable business value and ROI.