Top AWS Jobs in Pune

The Platform Engineer - Cloud builds and maintains data architectures, oversees data pipelines, and collaborates with data scientists to deploy machine learning models, ensuring data accuracy and compliance with security standards.

The Sr. Software Engineer will own the lifecycle of platform services, designing and implementing backend services in Go, integrating with SaaS APIs, and collaborating on architectural decisions.

Develop and maintain scalable Python/Django backend systems, integrate and deploy generative AI models (LLMs, embeddings, vector DBs), collaborate with data scientists on model fine-tuning, work with APIs, microservices and databases, optimize performance and security, and research emerging AI/ML tools.

Design and own end-to-end solution architectures, translate requirements into technical designs, evaluate technologies, define integrations, guide development and DevOps teams, conduct reviews and POCs, support pre-sales, and ensure compliance with ISO standards.

Design, build, and maintain responsive full-stack web applications. Implement front-end interfaces from Figma using React/TypeScript and modern CSS. Develop secure back-end services and REST APIs with Node.js or Python. Manage SQL and NoSQL databases, containerize applications with Docker, orchestrate with Kubernetes, deploy on AWS/Azure, and integrate CI/CD. Perform unit/integration testing, optimize performance, and document technical designs while collaborating with product, design, and engineering teams.

Develop, test, and maintain high-performance Python backend applications. Build and consume RESTful APIs, work with SQL/NoSQL databases, process data, and implement/optimize machine learning models for production. Collaborate with cross-functional teams, write clean scalable code, and troubleshoot/debug applications.

Develop and customize CAD applications (AutoCAD, Autodesk Inventor) and 3D engineering workflows. Build modules in C++/C# with strong OOP, create interactive 3D web apps using Three.js/WebGL, integrate APIs and cloud services, collaborate in Agile teams, participate in code reviews and testing.

Design, build, and own high-throughput settlement and reconciliation backend services processing large financial datasets. Implement precise financial calculations, deterministic and idempotent workflows, optimize schemas and queries for correctness and performance, handle complex edge cases and anomalies, and collaborate with Product, Risk, Finance, and Ops. Ensure data integrity, auditability, and strong testing practices.

Design, develop, and maintain full-stack web applications. Build responsive React.js UIs, create Node.js backend services and REST APIs, deploy and manage applications on AWS, and collaborate with cross-functional teams to deliver end-to-end solutions.

Drive sales of CCTech digital transformation solutions to AEC, construction, and infrastructure clients. Prospect and manage pipeline, conduct discovery and solution positioning, support pre-sales workshops and proposals, collaborate with engineering teams, and develop strategic accounts focused on BIM, digital twin, automation, analytics, and enterprise integrations.

Develop and maintain scalable Python/Django backends integrated with LLMs and AI workflows. Implement APIs, data pipelines, and Agentic AI orchestration. Collaborate with product and ML teams to deploy, optimize, and ensure reliability of AI-driven applications.

Design, develop, and maintain automated test scripts for APIs, web and mobile apps. Integrate automation into CI/CD (Jenkins), manage test environments, analyze test results, maintain QA documentation, and collaborate with product and development teams to prioritize and improve testing processes.

Lead architecture and delivery of scalable, secure cloud-native solutions (AWS/GCP/Firebase). Define technical blueprints, run PoCs, lead multi-country deployments, integrate CRM/ERP/APIs/payment systems, enforce security/compliance, mentor engineering teams, and optimize cloud cost and availability.

Design, build, and operate scalable, resilient AWS production infrastructure using IaC and CI/CD. Automate load testing, validation, and recovery checks; implement monitoring, observability, and incident prevention. Modernize legacy systems, contribute to internal developer platforms, and enable secure, compliant (FedRAMP-aligned) environments with chaos engineering and cost-optimized architectures.

Design and implement scalable Django architectures, integrate AWS VPN and Lambda, manage Linux servers, implement SMS gateways (Kannel/Jasmin), deploy Chatwoot (Rails), design micro-architecture, develop USSD integrations, and use Kafka for real-time updates.

Develop, deploy, and maintain Python/Django web and backend applications on AWS. Design and optimize databases, implement scalable AWS infrastructure (EC2, Lambda, S3, VPC, RDS/DynamoDB) using CloudFormation and CI/CD, monitor via CloudWatch/CloudTrail, work with analytics tools, and troubleshoot to ensure high availability.

Develop, test and maintain Python backend applications; build and integrate RESTful APIs; work with SQL/NoSQL databases; implement and optimize machine-learning models for production (preferred); collaborate with cross-functional teams; troubleshoot and debug applications.

Design and build end-to-end AI solutions: architect data pipelines, deploy and fine-tune LLMs (RAG/vector DB), implement MLOps (CI/CD, monitoring), create visualizations and ROI-driven model evaluations, educate customers, mentor teammates, and share learnings publicly.

Design, build, and maintain IBM Watson Assistant conversational agents. Define and train intents, entities, and dialog nodes; integrate with CRMs, databases, and third-party APIs via REST/JSON/XML; test, monitor, and optimize conversations; deploy across web, mobile, and messaging platforms; design user-friendly conversational experiences; document architecture and report performance; collaborate with product, UX, and engineering teams.

Lead design and implementation of AWS cloud data solutions using Python and PySpark. Build ETL pipelines, analytics (Glue, Athena, Redshift), and cloud architectures. Produce HLD/LLD, run cloud readiness assessments, cost estimates, DR planning, and provide technical leadership across onshore-offshore teams while liaising with customers and managed services.

Lead QA automation efforts: design and maintain automated test scripts, integrate with CI, manage test environments, collaborate with product and dev teams, ensure functional and manual testing efficiency, maintain QA documentation and SDLC compliance.

Design, develop, and maintain Java-based microservices using Spring Boot and Oracle. Build scalable, low-latency systems, integrate APIs (Swagger), troubleshoot production issues, apply clean-code and secure coding practices, participate in Agile SDLC, and use CI/CD, containers, observability, and testing (unit and performance).

As a Staff Data Platform Engineer, you will lead the design and development of data infrastructure, manage CI/CD processes, and implement observability for data pipelines.

The Solutions Architect will design customized CCaaS solutions, support pre-sales, and work with technical teams to ensure effective project delivery.

The Associate DevOps Engineer Consultant will develop CI/CD pipelines, maintain infrastructure as code, optimize cloud resources, and implement security practices. They will mentor junior engineers and collaborate with teams to streamline processes.