Top AWS Jobs in Pune

The Principal UI Engineer will develop front-end applications for AI-driven cybersecurity solutions, lead UI development, conduct code reviews, and collaborate with teams to enhance software quality.

Design, develop, and maintain Java/J2EE applications using Spring and Web Services (REST/SOAP) on AWS. Take ownership of assigned tasks, participate in design and analysis, contribute to modernization efforts, and optionally work with Kafka, Angular, and Gen AI. Use CI/CD and observability tools as needed.

Design and build agentic AI solutions and complex agent workflows using Python. Train and deploy models on AWS or other cloud, build prototypes with Streamlit/Gradio, apply MLOps, collaborate in Agile/Scrum with Git and JIRA.

Develop and maintain backend services using Java Spring Boot and Node.js, design and implement REST APIs, work with AWS, and manage Oracle and PostgreSQL databases. Angular/UI exposure is a plus.

Design, implement, and maintain front-end and APIs for the Customer Experience Platform. Work on security system management, customer account management, camera diagnostics, and Help Center features. Build and maintain web applications and services within a microservices architecture using Node.js/TypeScript, React, AWS, CI/CD, and SQL/NoSQL databases while collaborating in agile teams.

Design, develop, and maintain scalable full-stack web applications for HR, recruitment, and manpower management. Collaborate with designers, architects, and stakeholders to define requirements and data contracts. Ensure performance, security, code quality, and documentation. Troubleshoot full-stack issues and support integrations with ATS, HRMS, and payroll platforms.

The Senior Back-End Developer builds and maintains server-side operations for cloud solutions, collaborating with teams to deliver software, support users, and document features.

As a Lead SDET, you will lead automation efforts, influence quality metrics, improve testing processes, and mentor junior engineers. Responsibilities include designing automation frameworks and enhancing CI/CD pipelines.

The Software Engineer II, Application SRE role involves designing resilient cloud systems, automating operations, ensuring high reliability, and collaborating on SRE best practices in a telecom environment.

The Senior Technical Consultant leads customer implementation projects, designs technical solutions, integrates APIs, and provides technical guidance while managing customer relationships.

Senior backend-focused engineer responsible for designing and delivering features in Go and React, building scalable distributed architectures, mentoring teammates, coordinating with product and business stakeholders, instrumenting production systems, and leading small teams to ship high-quality APIs and services.

Design and build service-mesh based traffic infrastructure (service discovery, load balancing, resiliency, traffic management) using Istio/Envoy on Kubernetes. Lead architecture, implement traffic management components in Rust/C++/Go, drive operational excellence, collaborate across platform teams, and evangelize traffic-control best practices.

Lead design and delivery of end-to-end SAP technical architectures on cloud (S/4HANA, ECC, BW/4HANA). Drive S/4HANA transformations, migrations, upgrades, HA/DR, and RISE with SAP implementations. Govern multiparty delivery, mentor Basis and cloud teams, implement IaC/automation, and translate business needs to technical solutions while engaging CxO stakeholders.

Work directly with clients to define high-impact problems, design and deploy scalable AI-driven solutions, build and iterate in real time, integrate APIs and cloud services, and communicate technical concepts to nontechnical stakeholders while ensuring solution adoption.

Lead the Data Desk: triage and route L1/L2 requests, perform code reviews for junior analysts, drive automation and self-service dashboards, run daily operations and people development, and ensure data quality and SLA adherence.

Provide advanced PostgreSQL consulting and administration: design and implement DB solutions, ensure HA and DR, perform backups and PITR, monitor and optimize performance, lead migrations and infrastructure improvements, troubleshoot incidents, produce client documentation and reports, participate in on-call rotation, and drive process and monitoring improvements for managed-service clients.

Lead design and operation of high-scale ingestion and distributed data processing systems for Twilio Segment. Architect always-available cloud-native services, guide technical decisions balancing cost/performance/reliability, and translate technical strategy into execution with cross-functional stakeholders.

Design and implement end-to-end AI platform features integrating agent frameworks, vector search/RAG, and relational database capabilities. Build multi-cloud deployable services, enforce multi-tenant data governance, optimize performance, and own APIs, monitoring, and security.

Design, create, and execute functional and regression tests for Adyen payment integrations across eCommerce platforms, maintain automation scripts, perform end-to-end and API testing, support UAT, and collaborate with cross-functional teams for high-quality releases.

Lead L3 escalation and run a 24x7 NOC shift for multi-cloud infrastructure. Manage incident command, proactive monitoring, alert tuning, Terraform automation, Kubernetes/EKS operations, cloud networking, database availability, and mentor L2 engineers to reduce MTTD/MTTR.

The Cloud Operations Engineer is responsible for managing and monitoring Neo4j database environments, troubleshooting technical issues, and ensuring high uptime for cloud infrastructure. The role involves collaborating with customers and improving operational processes.

As a Kubernetes Infrastructure Engineer, you'll manage infrastructure, deploy applications, improve automation, and enhance product quality while collaborating with cross-functional teams.

Lead design and management of scalable cloud infrastructure, CI/CD automation, Kubernetes orchestration, IaC with Terraform, observability and incident response, security and disaster recovery, and mentor junior engineers while collaborating with cross-functional teams.

Design, develop, and deploy ML models and LLM-based applications; implement RAG and vector database pipelines; fine-tune models, optimize inference and scalability; build REST APIs and backend integrations; monitor AI system performance; collaborate cross-functionally and stay current with AI advancements.

Design, build, and scale backend systems for the Made Card platform, focusing on system design, database optimization, API delivery, and performance reliability while mentoring junior engineers.