Top AWS Jobs in Pune

Design, build, and operate secure, highly available AWS infrastructure using Terraform and CI/CD. Automate provisioning, scaling, monitoring, incident response, security, and cost optimization for high-traffic systems.

We are looking for a Full Stack Developer with 5+ years of experience in high-quality code, proficient in MERN, Python, and cloud services, to optimize scalable APIs and enhance development speed using AI tools.

Lead Java Engineer responsible for designing and building greenfield applications using modern Java (17/21/25) and Spring Boot ecosystem (Data JPA, Web, Batch). Apply Clean/Hexagonal/CQRS patterns, optimize performance, and work with CI/CD (Jenkins/Azure Pipelines/GitHub Actions). Familiarity with Kubernetes, load balancing, and cloud platforms (Azure/AWS) for deployments.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Lead cloud infrastructure monitoring, automate operations, and design AI-driven predictive monitoring and automated incident response. Manage CI/CD pipelines, enforce cloud security/compliance, build monitoring/logging/alerting systems, perform incident triage and collaborate with development teams to optimize cloud resources.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

Design, develop, and deploy deep learning and computer vision models for fraud detection (including deepfake and synthetic data detection). Own production models, research new algorithms, deploy on AWS SageMaker or devices, monitor model performance, and collaborate with engineers and product managers in an Agile environment.

As an SDE III in MLOps, you'll enhance ML asset management, design infrastructure for ML model deployment, and optimize CI/CD pipelines for efficient performance.

Operate and scale low-latency, high-availability trading infrastructure; automate and manage IaC; monitor and respond to incidents; optimize system and network performance; implement secure CI/CD and IAM practices; collaborate with trading, engineering, and security teams; participate in rotational on-call support.

The Solutions Engineer will support direct sales cycles, providing technical expertise and tailored solutions for customers, while collaborating closely with Sales, Product, and Engineering teams.

Build and scale core platform systems for a global eSIM consumer product. Own end-to-end features, optimize API performance, caching, data access, observability, and event pipelines. Create internal tooling and AI-assisted engineering workflows to improve developer velocity, reliability, and performance across global markets.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

This role involves assisting in CI/CD pipeline development, configuration management, cloud platform work, and learning DevOps tools within a remote team.

The role involves architecting reliability solutions, incident management, promoting SRE practices, and mentoring engineers within the Site Reliability Engineering team.

Lead evaluation and maturation of disaster recovery posture, define DR standards, design multi-region and active-active architectures, drive DR roadmap, implement testing (game days/chaos), produce runbooks, recommend platform/tooling, and advise engineering/security teams on resilience and compliance.

Lead and evolve SRE best practices, observability, and incident response. Design and automate cloud infrastructure, Kubernetes platforms, and IaC. Mentor engineers, drive large platform initiatives, reduce operational toil, and improve reliability, scalability, performance, and security across services.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Serve as executive-level technical leader and CTO-like advisor for strategic accounts: define architecture and roadmaps, drive delivery quality and expansion, mentor teams, align partners, and ensure client success and revenue growth.

Lead design and delivery of end-to-end data engineering solutions for enterprise clients. Architect cloud data platforms (Snowflake, AWS, Azure, Databricks, GCP), build and optimize SQL and transformation pipelines (dbt), mentor and manage solution architects and data engineers, produce technical documentation and presentations, and ensure production performance, security, scalability, and successful client engagement.

Build, optimize, and maintain scalable AWS-based data pipelines and data lakes (Snowflake/Databricks). Implement streaming ingestion (Kinesis/Kafka), CDC, automated data quality checks, and ML-ready feature stores. Collaborate with Product, ML, and Analytics teams, own pipeline QA, observability, and participate in on-call rotations to resolve production data issues.

Design, configure, and extend Guidewire PolicyCenter functionality (submissions, quoting, issuance, renewals, cancellations). Develop GOSU-based rules, PCF UI, and PolicyCenter product/data models. Build SOAP/REST integrations, messaging (JMS), and integration plugins; support unit testing, SIT/UAT, performance tuning, and technical documentation. Collaborate with BAs, QA, architects, and offshore/onshore Agile teams.

As a Senior Site Reliability Engineer, you will design and implement scalable infrastructure solutions, enhance reliability and performance, and lead AI enablement efforts within the team.

Design, develop, and deploy scalable AI/ML and Generative AI solutions (LLMs, RAG, agentic AI). Build AI agents, create intelligent workflows, fine-tune and monitor models, integrate with enterprise systems, and support production deployment and continuous improvement.

Lead design and delivery of complex software systems, drive architectural decisions, create reusable frameworks, mentor engineers, collaborate cross-functionally, own critical projects, and improve development processes and tooling.

Customer-facing engineering role delivering production-grade data and AI solutions on Databricks. Lead architecture, build end-to-end data pipelines, ML/AI integration, applications, and reusable assets. Collaborate cross-functionally, drive technical delivery, train and embed with customers, and contribute product and implementation feedback to scale impact.