Top AWS Jobs in Pune

Design, build, and deploy AI-driven web applications using the MERN stack. Integrate ML/AI models (NLP, LLMs, embeddings, recommendations) into frontend/backends, implement REST APIs, optimize performance and security, collaborate with data scientists, and maintain reusable UI components and CI/CD workflows.

Design, develop, and deliver scalable Java-based full-stack solutions. Collaborate with product, design, and engineering teams, perform code reviews, ensure secure coding and unit testing, integrate APIs and messaging systems, work in cloud/containerized environments, and mentor team members while managing risk and governance.

The role involves designing, developing, and implementing high-quality Java-based applications, collaborating with cross-functional teams, and leading technical discussions while adhering to best engineering practices.

Design, develop and deliver enterprise-grade Pega solutions. Collaborate across teams, ensure code quality, integrations (REST/SOAP/Kafka/MQ), performance tuning, security, DevOps pipeline ownership, production stability and lead distributed Agile teams.

Lead design and implementation of scalable IAM solutions, mentor engineers, align technical strategy with business goals, collaborate with product and stakeholders, and introduce new technologies to modernize digital identity and access management.

Design, develop and maintain data/ETL solutions on AWS for finance regulatory reporting. Collaborate with product, architects and global teams; ensure code quality, secure coding, testing, performance troubleshooting, documentation and adherence to SDLC and non-functional requirements.

The Solution Architect designs and develops high-quality software solutions, collaborates with cross-functional teams, and ensures secure coding practices. They lead engineering tasks related to cloud architecture and influence strategic decisions while mentoring team members.

Lead a data and analytics team to deliver solutions using cloud platforms and data warehousing technologies, ensuring effective project management and client engagement.

Lead engineering teams to deliver high-quality software by providing technical guidance, mentoring, overseeing delivery timelines, improving processes and tooling, enforcing standards, and collaborating with product and stakeholders. Drive DevOps/CICD, cloud, containerization, IaC, code quality and automation practices within the Mortgages digital domain.

Design, deploy, and automate scalable hybrid cloud infrastructure across AWS and Azure using IaC (Terraform/CloudFormation/ARM/Bicep). Build CI/CD pipelines, implement observability (Prometheus, Grafana, Datadog, CloudWatch, Splunk), lead incident response and RCA, define SLIs/SLOs, enforce DevSecOps practices, manage access (IAM/Azure AD/RBAC), and collaborate with engineering teams to optimize reliability and performance.

Design, build, and deploy production-grade LLM, RAG, and agentic AI systems. Implement document intelligence pipelines, use LangChain/LangGraph/LlamaCloud, manage embeddings and vector DBs, and scale services on AWS/GCP/Azure with strong ownership.

Develop and maintain headless eCommerce storefronts using Next.js and Salesforce Commerce Cloud, integrate with SFCC APIs and third-party services, build responsive SEO-friendly web apps, collaborate with UX/backend/QA, and optimize storefront performance.

Lead QA efforts for an SSE product: design and execute manual and automated functional, integration, system and E2E tests; build scalable test frameworks using PyTest; integrate automation into CI/CD; design testing tools; collaborate with R&D and Product; apply new approaches including AI to improve testing efficiency.

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.

Manage and maintain Kubernetes platforms, automate AWS deployments, streamline CI/CD pipelines, implement observability and monitoring, support cross-team application deployments, troubleshoot environment/configuration issues, manage environment orchestration, maintain shared development tooling, and provide monthly weekend on-call support.

Design, build, and maintain secure CI/CD pipelines and IaC using Terraform, Harness.io, and GitHub Actions. Operate cloud infrastructure (AWS/GCP), integrate security tools (Wiz, Macroscope, OPA), forward logs to Splunk, migrate legacy systems to containers/Kubernetes, and mentor engineers while driving pipeline reliability, automation, and compliance.

Lead design and implementation of scalable, secure cloud infrastructure and CI/CD pipelines. Own cloud strategy and cost optimization, drive incident response and postmortems, mentor team members, evaluate DevOps tools, and implement automated, clustered solutions to improve performance, availability, and deployment throughput.

Lead DevSecOps engineer to design and operate CI/CD pipelines, build IaC with Terraform, manage cloud infrastructure (AWS/GCP), integrate security (vulnerability scanning, secrets management, policy-as-code), migrate workloads to container/Kubernetes platforms, and mentor junior engineers. Collaborates with application, security, and compliance teams to automate release gates, observability, and remediation workflows.

Design, build, and operate secure CI/CD pipelines and IaC using tools like Harness.io, GitHub Actions, and Terraform. Integrate security (vulnerability scanning, secrets management, policy-as-code), observability (Splunk), and cloud provisioning (AWS/GCP). Mentor engineers, migrate legacy systems to container/Kubernetes platforms, and collaborate with security, compliance, and application teams to automate release gates and remediation workflows.

Operate and administer production Enterprise Linux infrastructure and middleware to ensure availability, security, performance, and observability. Deploy and maintain middleware (proxies, messaging), automate configuration (Ansible), provide L3 end-to-end troubleshooting across OS/network/middleware, lead incident response and RCA, collaborate with development teams on reliability and modernization, and produce runbooks and automation to reduce outages.

Design and own Databricks Lakehouse architectures, lead data engineering and migration projects, build ingestion/transformation pipelines (Python, PySpark, SQL), define data mesh and governance, integrate Databricks with AI/ML (feature pipelines, MLflow, vector/RAG), evaluate emerging table formats, optimize FinOps, mentor engineers, and align cross-functional stakeholders on enterprise-grade data platforms.

Lead quality engineering vision and roadmap across product lines, drive CI/CD and release readiness, embed shift-left/shift-right practices, adopt AI-driven testing, mentor SDET managers, align quality metrics with executives, and architect test strategies for distributed systems and mobile.

The Backend Engineer will design, build, and maintain scalable backend systems for AI solutions, develop Python libraries, manage APIs, and optimize backend performance.

Provide senior technical leadership for enterprise SaaS and hybrid platforms: define architecture and standards for security, scalability, reliability, and observability; design distributed systems and agent-based solutions; mentor senior engineers; drive technical strategy, roadmap execution, and cross-functional alignment; review architecture and code and communicate trade-offs to stakeholders.

Lead AWS data architect responsible for designing, building and operationalizing large-scale enterprise data platforms and pipelines on AWS. Re-architects on-premises stores to cloud, mentors engineers, runs client workshops, and delivers proofs-of-concept using Spark, Databricks, Glue, Redshift, Snowflake and related AWS services.