Top AWS Jobs in Hyderabad

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Maintains production system reliability through incident triage, monitoring, alert optimization, Kubernetes troubleshooting, root cause analysis, and 24/7 support. Develops automation using C#, Java, Python, PowerShell, or Bash; monitors CI/CD pipelines; supports self-healing solutions; documents incidents and postmortems; and ensures fintech compliance. Collaborates with engineering and global teams to improve availability, performance, security, and operational processes.

Designs and maintains AWS data architectures, ETL/ELT pipelines, data warehouses, analytics datasets, dashboards, and visualization solutions. Uses SQL, Python, Spark, Glue, Lambda, S3, Athena, Redshift, and QuickSight to prepare, transform, validate, and govern data. Collaborates with product, engineering, and operations teams, optimizing performance, cost, scalability, and data quality while integrating data systems with AI and natural-language query tools.

Build and scale Supabase Storage across client libraries, CLI, CDN, storage servers, and deployment infrastructure. Responsibilities include improving upload and download performance, asset optimization, edge networking, caching, observability, reliability, APIs, developer tools, and the storage explorer. The role also involves PostgreSQL and distributed-systems performance tuning, infrastructure operations, escalated support resolution, and end-to-end project ownership in an asynchronous, remote, open-source environment.

Design, develop, and maintain AI agents and AI-native software applications. Collaborate directly with company co-founders to build customer-focused solutions in a rapidly changing startup environment. The six-month, full-time internship emphasizes full-stack engineering, cloud technologies, fast learning, and practical problem-solving, with potential conversion to a full-time role based on performance.

Perform penetration tests and SAST/DAST on web, mobile, and network systems; scope and report findings; integrate security into CI/CD and SDLC; collaborate with teams to remediate vulnerabilities and deliver secure coding training.

Own, stabilize, and scale production systems while partnering with transformation teams. Build backend services, APIs, data models, asynchronous workflows, and queue-based processing using Python or TypeScript/Node.js. Manage cloud environments, deployments, infrastructure as code, and SQL data pipelines. Establish engineering standards for testing, CI/CD, code reviews, and production readiness, including AI-generated software. Mentor engineers and modernize fragile internal tools without disrupting operations.

Design, build, and maintain scalable Go backend services and REST APIs for a high-traffic B2B commerce platform. Develop Kafka-based event-driven workflows, PostgreSQL data models and queries, and AWS deployments. Collaborate with frontend, product, and QA teams on integrations, participate in design reviews and production support, and deliver clean, tested, documented code. The role requires overlap with US Eastern Time and occasional flexibility for releases or production incidents.

Lead end-to-end architecture and development of scalable enterprise applications using Java backends and modern frontend frameworks. Design secure system integrations, microservices, event-driven distributed systems, and pub-sub messaging architectures. Establish technical standards, review code, optimize production performance, resolve complex distributed-systems issues, and mentor engineers. Work with relational and NoSQL databases, cloud-native platforms, Kafka or equivalent streaming technologies, containers, and CI/CD pipelines.

Develop and maintain scalable full-stack web applications using Python and modern frontend frameworks. Design RESTful APIs, manage SQL and NoSQL databases, collaborate on feature delivery, and ensure application performance, security, and scalability. Debug production issues, follow clean coding practices, and contribute to system design, microservices architecture, CI/CD, and DevOps practices.

Develop Generative AI applications, chatbots, intelligent agents, RAG pipelines, semantic search systems, and automation workflows. Build Python backend services and REST APIs using modern frameworks, integrate commercial and open-source LLMs, and support AWS deployments. Responsibilities include prompt engineering, testing, debugging, optimization, database and vector integration, and collaboration with engineering and product teams. The role is open to fresh graduates and candidates with up to three years of experience.

Design and scale cloud and Kubernetes infrastructure, distributed systems, CI/CD, observability, and deployment tooling. Build production-grade AI agents for infrastructure and engineering workflows, including tool use, evaluation, permissions, guardrails, and failure handling. Improve reliability, performance, and cloud efficiency; troubleshoot across application and infrastructure layers; mentor engineers; document architecture; and participate in on-call operations.

Owns data architecture and scalable engineering systems for an AI-native finance platform. Responsibilities include canonical data modeling, configurable connectors, SQL/dbt transformation, warehouse optimization, orchestration, CDC, lineage, data quality, schema evolution, and audit-ready traceability. The role also supports curated data for ML and LLM systems, customer-hosted multi-cloud deployments, mentoring distributed engineers, and collaboration with AI, backend, product, and US-based leadership.

Build production AI systems for finance teams, including per-customer anomaly detection models, grounded natural-language generation, agentic workflows, and managed LLM integrations. Develop Python services with SQL and warehouse access in containerized customer deployments. Establish rigorous evaluation, anti-leakage, hallucination, grounding, and faithfulness controls, incorporate human confirmation checkpoints, and convert user feedback into durable model and system improvements.

Lead QA automation strategy and people management while building comprehensive API, UI, backend, performance, security, and database test frameworks. Develop Python and TypeScript automation, integrate quality gates into CI/CD, validate multi-tenant SaaS isolation, and support compliance requirements. Collaborate with Product, Engineering, and DevOps on testability, releases, metrics, and risk communication. Preferred experience includes AI/LLM testing, fintech, observability, chaos engineering, and startup environments.

Own core backend services for a finance AI platform, building reliable, configuration-driven computation systems over financial and operational data. Ensure results are traceable, reproducible, auditable, and correctly reconciled. Provide technical leadership through architecture, design reviews, engineering standards, and mentorship while partnering with data, AI, and product teams. The role involves production Python, advanced SQL and data modeling, multi-tenant or customer-hosted deployments, and high standards for correctness and system reliability.

Lead the architecture, development, and delivery of distributed workflow-orchestration and production AI solutions. Build AI agents, LLM applications, durable workflows, integrations, and evaluation pipelines while applying distributed-systems, Saga, observability, MLOps, and LLMOps practices. Lead client workshops, translate requirements into architectures and delivery plans, manage technical workstreams, conduct reviews, mentor engineers, and establish reusable engineering standards and capability-center assets.

Develop generative AI applications, chatbots, intelligent agents, RAG pipelines, semantic search systems, and enterprise automation solutions. Build Python backend services and REST APIs, integrate commercial and open-source language models, use AI development frameworks, support AWS deployment, and perform prompt engineering, testing, debugging, and optimization. Collaborate with engineering and product teams to deliver maintainable, production-ready AI software.

Build and maintain AI/ML applications, LLM-powered solutions, AI agents, agentic workflows, and Model Context Protocol integrations. Develop prompt, retrieval, tool-calling, and workflow automation systems; evaluate model quality, safety, and reliability; and support production deployment, monitoring, and continuous improvement. Collaborate with product, engineering, and business teams, while documenting architectures and implementation details.

Build and maintain Turso’s open-source database and cloud platform. Responsibilities include advancing PostgreSQL compatibility, ensuring software correctness through testing and verification, operating cloud APIs and data planes, and scaling systems to support substantially more databases. The role involves Rust development, embedded database technology, large-scale cloud operations, observability, reliability, performance improvements, and collaboration with customers, open-source communities, and distributed teams.

Manage company-wide risk assessments, risk registers, remediation tracking, control testing, audits, evidence collection, and SOC 2 and ISO 27001 compliance operations. Partner with engineering, security, IT, and legal to validate controls, automate evidence gathering, investigate failures, support customer and vendor security reviews, and improve continuous compliance practices in a fully remote environment.

Build and secure CI/CD pipelines, harden build and deployment systems, integrate application and dependency security testing, and manage infrastructure-as-code security across cloud environments. Partner with R&D teams to implement security automation, guardrails, and standards. Support compliance alignment and incident response for build, deployment, and production infrastructure while advising engineers on practical security tradeoffs.

Develop and deploy scalable backend services for web applications. Responsibilities include RESTful API development and testing, database integration, asynchronous task queuing, containerization, and collaboration with the development team. The role uses Python frameworks such as FastAPI, Flask, or Django, relational databases, Docker, and potentially Kubernetes and cloud platforms.

Build reinforcement learning environments for coding tasks, develop and deploy production AI agents, and shape technical direction. The role also involves leading engineering growth in a fast-paced startup. Candidates need 3–7 years of engineering experience, strong reinforcement learning fundamentals, experience with coding-focused reinforcement learning, simulated training environments, autonomous agents in production, and AI coding assistants. The position is remote in India with a 5.5-day workweek and Pacific-time overlap.

Develop and deploy complex Salesforce solutions involving Apex, JavaScript, SOQL, Lightning components, integrations, and custom applications. Collaborate with architects, consultants, engineering teams, and clients to design technical solutions, improve release processes, and use Heroku or AWS when Salesforce capabilities are insufficient. Mentor junior developers, support AppExchange products, manage deployment planning, and contribute to technical risk mitigation and project delivery.