Top AWS Jobs in Hyderabad

Designs, deploys, secures, monitors, and supports Azure and hybrid cloud infrastructure. Serves as the Level 3 escalation point for complex incidents, manages networking, identity, security monitoring, automation, backups, disaster recovery, compliance, and infrastructure-as-code. Performs root-cause analysis, implements permanent fixes, supports audits and migrations, participates in on-call and major incident response, and mentors junior engineers. The role requires strong Azure, cloud networking, Windows/Linux, IAM, security, Terraform, scripting, and troubleshooting expertise.

Build and maintain data foundations for AI agents, analytics, scorecards, and dashboards. Responsibilities include developing ingestion pipelines and enterprise connectors, modeling raw-to-mart layers, managing metadata and vector indexes, implementing data quality and lineage controls, and supporting governed data stores. The role also covers API integrations, incremental ingestion, security controls, testing, release activities, and data validation. Preferred experience includes RAG preparation, unstructured content processing, knowledge graphs, LLM applications, and regulated life sciences data.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Build and maintain full-stack features for secure, high-volume fintech and cryptocurrency transactions. Develop Golang and Java backend services, Node.js and TypeScript APIs, and React/Next.js applications. Integrate third-party systems, implement OAuth 2.0 authentication, work with microservices, and ensure security, performance, reliability, and observability. Contribute to architecture discussions, code reviews, technical documentation, and end-to-end feature ownership in a fully remote environment.

Design, build, and operate Supabase’s multi-region compute platform, including provisioning, orchestration, autoscaling, warm pools, resource optimization, observability, and reliability improvements. The role involves operating large Kubernetes clusters, improving infrastructure automation and architecture, responding to incidents, participating in on-call rotations, and resolving systemic platform issues. Strong Go and TypeScript skills, AWS experience, distributed systems knowledge, and cloud infrastructure expertise are required.

Own the full customer lifecycle from discovery and technical demonstrations through deal execution and customer success. Design OpenTelemetry instrumentation strategies, customize observability dashboards, address technical, security, finance, and legal evaluations, and support engineering teams. Feed customer insights into product improvements and help build scalable Sales and Customer Success processes. The role requires strong technical knowledge of cloud platforms, containers, Kubernetes, observability tools, and excellent written and verbal communication.

Develop and maintain headless eCommerce storefronts using Next.js and Salesforce Commerce Cloud, integrate with SFCC APIs and third-party services, build responsive SEO-friendly web apps, collaborate with UX/backend/QA, and optimize storefront performance.

Owns highly available AWS and EKS platforms, CI/CD pipelines, infrastructure as code, observability, incident response, reliability engineering, and security operations. The role designs resilient cloud environments, manages Kubernetes and Docker workloads, automates delivery and operations, leads major-incident response, establishes SLOs, and coordinates vulnerability remediation. It also mentors engineers and improves production readiness, disaster recovery, and operational efficiency.

Design and build deterministic, auditable AI engines and conversational agents for finance platforms. Lead architecture across RAG, agent orchestration, structured outputs, grounding, evaluation, verification, and human-in-the-loop workflows. Develop production Python services with SQL and vector retrieval, support multi-cloud and on-premises deployments, mentor engineers, conduct design reviews, and communicate architecture decisions to technical and business stakeholders.

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.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

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.

Own the product’s engineering end to end as the sole initial engineer. Build and operate the AI coaching system, including prompting, conversation state, retrieval, model evaluation, moderation, and crisis safety mechanisms. Develop the Python backend, React Native mobile apps, React website, subscriptions, infrastructure, CI/CD, monitoring, and releases. Translate technical decisions for a nontechnical founder and clinical team while maintaining strong privacy, security, product quality, and responsible AI practices.

Provide technical support for database and AI infrastructure, troubleshooting data modeling, query performance, Kubernetes clusters, cloud and on-prem environments, networking, storage, APIs, and RAG systems. Analyze logs, identify root causes, debug product issues, collaborate with Engineering, Product, QA, and Customer Success, document solutions, and explain technical concepts to customers. Requires strong database, cloud infrastructure, Linux, scripting, communication, and problem-solving skills.

Build and maintain a multi-tenant cloud case management platform across frontend, backend, APIs, databases, and AWS infrastructure. Develop Angular and React applications, Python services, REST integrations, PostgreSQL schemas and queries, operational dashboards, field workflows, and data migrations. Collaborate with technical and business teams to deliver tested features in an Agile/Scrum environment while using AI coding tools for development, debugging, reviews, and research.

Design, build, and operate distributed platform services and APIs using TypeScript and Go. Improve scalability, reliability, observability, and cost efficiency; develop data-intensive workflows and event-driven pipelines; manage SLIs/SLOs, incident response, CI/CD, and production releases. Partner with product teams on end-to-end delivery, write design documents and tests, and participate in on-call rotations for large-scale systems.

Leads complex enterprise API integration projects for APAC customers from architecture through post-launch optimization. Responsibilities include defining scope and milestones, managing partners and resources, mitigating project risks, advising executives and technical teams, troubleshooting live integrations using logs and performance metrics, evaluating partner performance, and mentoring Technical Account Managers. The role requires close collaboration with customers, implementation partners, system integrators, and internal teams.

Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.

Own production infrastructure for a student-recruitment platform, including resilience, backups, zero-downtime CI/CD, monitoring, incident response, security, disaster recovery, cost management, and documentation. Operate Linux infrastructure across Linode and DigitalOcean with Cloudflare, MongoDB, Docker, and Node.js applications. Establish recovery objectives, conduct restore drills, manage secrets and access controls, remediate audits, and support UK GDPR alignment. This remote role is based in India and requires independent ownership of infrastructure operations.

Provides advanced L3 technical support for graph and data-based software products. Troubleshoots Linux, database, networking, cloud, Kubernetes, cluster, API, and performance issues across distributed environments. Participates in 24/7 on-call coverage, manages SLAs, creates documentation, supports product adoption, and collaborates with engineering teams on escalations. Requires expertise in graph and NoSQL databases, SQL, scripting, data streaming, containers, monitoring, and cloud infrastructure.

Own customer audit journeys from gap assessment and readiness through external audit fieldwork, remediation, findings resolution, and closure. Assess security controls, cloud environments, policies, and evidence; develop risk-based remediation plans; coordinate customers and independent auditors; track requests and risks; and support SOC 2 and ISO 27001 audits. Improve scalable audit playbooks and workflows while collaborating across technical and executive stakeholders.

Provides technical support for a zero-trust cloud networking platform. Resolves, escalates, tracks, and closes customer incidents and service requests within SLAs. Troubleshoots WAN/LAN, software-defined networking, cloud networking, firewalls, ACLs, and cloud security environments across AWS, Azure, and GCP. Works rotational 24/7 shifts with globally distributed teams and supports incident, change, and problem management processes.

Administer and support IBM Cognos TM1 and Planning Analytics environments across development, QA, and production. Responsibilities include installation, upgrades, monitoring, security, backups, recovery, troubleshooting, performance tuning, deployments, and stakeholder support for planning and forecasting. The role also develops and maintains Tableau dashboards, optimizes data sources, manages refresh schedules, and documents operational procedures. Experience with PAW, scripting, cloud platforms, SQL, and relational databases is advantageous.

Design, build, and maintain centralized data pipelines, warehouses, lakes and hubs. Assemble complex datasets, implement ETL processes, build analytics tools and reports, support cross-functional teams, ensure secure cross-region data separation, and create product data tools to enable insights on acquisition and operational metrics.