Top AWS Jobs in Hyderabad

Provide L3 support and platform engineering for the Domino Data Lab platform. Troubleshoot production incidents involving workspaces, models, jobs, connectivity, access, and performance; conduct root-cause analysis and implement permanent fixes. Manage upgrades, patching, monitoring, tuning, and reliability for enterprise data science and AI/ML workloads. Support Python and R environments, ML workflows, Kubernetes, Docker, AWS, SageMaker, and Azure Machine Learning integrations in regulated or life sciences environments.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

Build and operate backend services and infrastructure for LLM- and voice-driven healthcare applications. Implement APIs, productionize LLM workflows, deploy cloud containerized services, and monitor performance and reliability end-to-end.

The Node JS Developer will enhance integrations, improve reliability, expand capabilities, and contribute to open-source innovations while ensuring high-quality Node applications.

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.

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.

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 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.

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.

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.

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.

Build full-stack product surfaces, backend services, APIs, databases, dashboards, internal tools, vendor workflows, and observability for reinforcement learning data and evaluation systems. Develop interfaces for browsing environments, inspecting trajectories, reviewing quality, debugging failures, and understanding model behavior. Partner with research, operations, vendors, and go-to-market teams to translate ambiguous requirements into reliable products. The role also involves production debugging and cloud infrastructure collaboration.

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.

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.