Top AWS Jobs in Hyderabad

Lead backend architecture and build scalable, high-concurrency services and APIs (Node.js) powering web and mobile. Own components end-to-end, manage CI/CD and infrastructure (IaC, containers, cloud), improve reliability, and collaborate with PM/design to deliver core features like live interactions and checkout.

The Edge Functions Engineer will evolve the Supabase Edge Runtime, implement monitoring and optimizations, manage features, and work closely with the Deno open-source teams.

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.

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.

Develop and maintain full-stack internal applications for quant, infrastructure, compliance, and operations teams in a high-performance trading environment. Responsibilities include designing solutions, developing and testing software, deploying and monitoring applications, improving trading-monitoring tools, manipulating and interpreting data, enhancing user experience, and collaborating with stakeholders across multiple high-priority projects.

Build and ship end-to-end full-stack features across frontend, backend, and database layers. Design scalable architectures for high-traffic fundraising campaigns, improve performance and reliability, debug production issues, and collaborate with product and design teams. The role addresses payments, donor experience, campaign scaling, database performance, and developer efficiency while balancing rapid delivery with maintainable code.

Own and improve high-scale backend systems and TB-scale data pipelines. Ensure microservice availability, performance, resilience, and reliability. Build deployment, monitoring, and incident-response automation while contributing scalable backend features. Take end-to-end ownership of production systems, debug complex issues, and collaborate with founders and global teams in a high-ambiguity startup environment.

The Fullstack Engineer will design and develop solutions for .NET web applications, conduct code reviews, troubleshoot issues, and communicate with clients about work progress.

Seeking an experienced Generative AI Engineer to develop enterprise AI solutions, automate workflows, and design interoperable AI agents while collaborating across cloud platforms.

The Senior Data Scientist will analyze large datasets, develop ML/AI models, collaborate with teams, and ensure data quality and compliance.

The Lead Data Scientist will analyze large datasets, develop ML/AI models, collaborate across teams, and ensure data quality and compliance.

Design and own infrastructure and observability for large-scale services. Automate operations, implement SLOs/SLIs, run incident response, perform chaos testing, mentor SREs, and drive reliability improvements across cloud and data-center environments.

Designs, builds, and maintains scalable Python backend services, secure RESTful and GraphQL APIs, and AWS serverless microservices. Responsibilities include data modeling, database optimization, authentication and authorization, testing, code reviews, CI/CD, production monitoring, troubleshooting, and release processes. The role collaborates with frontend, DevOps, data science, AI, design, and product teams to deliver production-grade analytics and AI applications.

Owns the design, deployment, reliability, security, and continuous improvement of a scalable AWS cloud platform supporting analytics, AI, and enterprise applications. Responsibilities include infrastructure automation with Terraform and CloudFormation, CI/CD pipelines, Docker and serverless workloads, observability, incident troubleshooting, security hardening, compliance controls, and collaboration with development, AI engineering, and business teams.

Join Supabase's new performance team to identify and fix performance bottlenecks across the stack—from query optimizer to kernel and cloud infra. You will analyze live systems, partner with DB and infra teams, build tooling and methodologies, improve observability, and enable teams to self-serve performance improvements that yield measurable production gains.

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.

Lead technical strategy for complex enterprise deals, engage senior security executives, design solution architectures and POCs, run discovery workshops and demos, address security and regulatory requirements, enable handoffs to implementation and Customer Success, influence product roadmap, and mentor solution engineers.

Design, build, and maintain fullstack web systems with Zoom Apps integration. Implement scalable front-end and back-end components, APIs, and cloud-hosted services while optimizing performance and collaborating with product and research teams in a fast-paced health-tech startup.

The Technical Marketing Engineer will create technical content, demonstrate products, engage with developers, collaborate cross-functionally, and support marketing initiatives.

Own and improve reliability of deployment and release systems: define SLOs/SLA/error budgets, instrument pre-production, build monitoring and synthetic tests, run on-call and incident response, create runbooks and DR readiness, and automate deploys and observability to reduce MTTD/MTTR.

Design, develop, and deploy integration applications and microservices using MuleSoft. Build APIs, middleware integrations, and CI/CD pipelines; write clean code, unit tests, and database/security best practices; collaborate with Salesforce teams, QA, and BAs to deliver scalable integrations.

As a Senior Backend Developer at Awarri, you'll build and maintain backend systems for AI platforms, focusing on scalable architectures, data integration, and real-time communication.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

As a Backend Engineer, you will develop and maintain core backend infrastructure, build integrations, and work closely with frontend engineers to enhance user experience.

As a Senior Backend Engineer, you will develop and maintain backend systems, collaborate with frontend teams, and leverage AI for finance solutions.