Top AWS Jobs in Hyderabad

Design scalable cloud and distributed-system architectures for major sports, media, and entertainment platforms. Lead client discovery, translate business goals into technical solutions, guide engineering implementation, support pre-sales, and establish architecture standards. The role covers microservices, APIs, data pipelines, integrations, security, performance, observability, and high availability. It also evaluates GenAI and agentic technologies, mentors technical teams, and communicates solutions to executives and engineers.

Build and maintain scalable full-stack web applications using React, TypeScript, and Node.js. Develop responsive interfaces, REST APIs, microservices, and event-driven services while optimizing performance, security, reliability, and scalability. Collaborate with product, design, and engineering teams, participate in architecture decisions and code reviews, and apply testing and engineering best practices. Preferred experience includes dashboards, RBAC, distributed systems, cloud platforms, containers, observability, caching, and message queues.

Design, develop, and maintain scalable Node.js backend systems, RESTful APIs, databases, and AWS cloud infrastructure. Manage MongoDB and SQL databases, monitoring, security, CI/CD, containerization, event-driven architecture, caching, and performance optimization. Collaborate with frontend, product, and DevOps teams to deliver secure, highly available services and resolve production issues.

Build and modernize a full-stack enterprise SaaS platform by decomposing a legacy monolith into Next.js components and designing secure multi-tenant PostgreSQL backends. Develop strict row-level security, Microsoft Graph and SharePoint integrations, OAuth workflows, document-generation pipelines, LLM API middleware, and GitHub Actions CI/CD. The role emphasizes enterprise security, legacy modernization, architecture, and effective use of AI coding assistants.

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.

Monitor cloud, server, network, storage, and database environments; take corrective action to maintain uptime; create monitoring alerts and dashboards; develop infrastructure monitoring and reporting tools; optimize configurations; document operations; manage outages and escalations; and coordinate with engineering teams on high-priority tickets. The role supports evening or night shifts and values AI-enabled workflow automation.

Design, build, and lead scalable backend services and AI platform systems using Node.js, TypeScript, AWS, databases, and modern LLMs. Own architecture, reliability, security, observability, CI/CD, and performance across multiple teams. Mentor engineers, guide technical direction, collaborate cross-functionally, and ship agentic AI products in a startup environment. The role remains hands-on, covering distributed systems, APIs, cloud infrastructure, and end-to-end solution design.

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.

Develops, maintains, monitors, troubleshoots, and optimizes Amazon Redshift data warehouses and ETL/ELT pipelines. Responsibilities include SQL and Python development, production support, performance tuning, data quality validation, Tableau support, incident resolution, and operational documentation. The role also supports migration from Redshift to Databricks using Spark, Delta Lake, PySpark, Workflows, and Unity Catalog.

Design and build Meeru AI’s deterministic intelligence engine and conversational AI agent layer for audited financial workflows. Architect grounded, traceable systems using RAG, tool-using agents, structured outputs, verification, human-in-the-loop controls, and automated evaluations. Lead technical direction, mentor engineers, conduct design reviews, and develop production Python services with database and cloud deployment integrations across AWS, Azure, GCP, and on-premises environments.

Own Plane Cloud infrastructure and self-hosted deployment paths across AWS, Kubernetes, Terraform, CI/CD, GitOps, observability, and security. Build reliable installations and upgrades for customer, sovereign, and air-gapped environments. Operate production systems, respond to incidents, debug issues across networking and application layers, and improve defaults and documentation. Collaborate with engineering teams, customer platform teams, and open-source contributors.

Manage SAP systems across on-premise and cloud (AWS/Azure/GCP) including BASIS administration, HANA DB maintenance, system monitoring (SolMan/Cloud ALM), troubleshooting, RISE/Fiori/integration support, and cloud operations and cost optimization.

Designs and delivers enterprise AI solutions on SAP BTP using SAP AI Core, AI Launchpad, Joule, ML services, and SAP Build Process Automation. Responsibilities include developing AI/ML models, integrating Joule with SAP business applications, delivering intelligent workflows, defining AI architecture and MLOps pipelines, and creating Clean Core-aligned extensions across multi-cloud environments.

Manage SAP BASIS and BTP environments, including installations, upgrades, patching, monitoring, troubleshooting, security, connectivity, user administration, and high-availability configurations. Administer SAP HANA, Cloud Connector, Integration Suite, BTP services, and Cloud ALM. Support SAP implementations, on-premises-to-cloud and RISE migrations, infrastructure dependencies, OpenText components, transports, performance, automation, and operational availability.

Monitor, investigate, triage, and respond to security alerts and incidents in a hybrid-cloud environment. Maintain EDR, SIEM, vulnerability scanning, and other security technologies; review logs, analyze events, support vulnerability management and incident response, conduct compliance reviews, document findings, deliver security awareness training, and participate in on-call and weekend support rotations.

Develop and maintain scalable backend APIs and services, manage AWS infrastructure, automate CI/CD deployments, design databases, implement security and monitoring, and collaborate with frontend, product, and DevOps teams. The role involves Node.js and Python development, RESTful APIs, WebSockets, Docker, Kubernetes, MongoDB, PostgreSQL, and deployment tools such as ArgoCD and Jenkins.

Build and scale Euler’s AI-native PRM platform across the front end and back end. Develop React and Next.js applications, Python and Node.js services, CRM and partner-tool integrations, AWS and Cloudflare microservices, REST APIs, and deployment workflows. Collaborate with engineering and AI teams, apply secure coding practices, maintain CI/CD pipelines, and ship scalable features while working US East Coast hours.

Designs and maintains Salesforce Data Cloud solutions for audience segmentation, activation, real-time ingestion, and data governance. Responsibilities include developing SQL queries, configuring Data Extensions, Data Model Objects, Data Streams, Calculated Insights, and Computed Traits; architecting cloud integrations with Snowflake, AWS, Azure, or GCP; resolving data quality issues; and implementing consent and governance frameworks.

Build and deploy production-grade full-stack AI systems for clients and internal accelerators. Responsibilities include data modeling, ETL/ELT pipelines, SCD implementation, dbt transformations, Python/FastAPI services, Next.js applications, AI agent and RAG workflows, orchestration, CI/CD, and AWS/Azure cloud deployments. The role owns projects end to end, translates ambiguous requirements into technical solutions, communicates with business stakeholders, and contributes reusable data and AI assets.

Build and operate Supabase’s multi-tenant, multi-region Kubernetes container platform. Responsibilities include platform automation, controllers, internal tooling, CI/CD and rollout primitives, security automation, observability, SLOs, error budgets, incident response, operational readiness reviews, resilience design, and infrastructure cost optimization. The role participates in on-call rotations and guides product teams toward reliable operational practices.

Design and deliver production-grade AI/ML architectures for education and assessment platforms. Translate stakeholder requirements into secure, cost-aware blueprints covering RAG, multi-agent systems, LLM judging, OCR, human review, cloud infrastructure, LLMOps/MLOps, observability, governance, and evaluation. Lead workshops, architecture decisions, production readiness, FinOps, sovereign hosting, and technical mentorship across international government and education programs.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

Lead the architecture, development, and release of cross-platform React Native applications for client products. Build native iOS and Android modules, mentor engineers, manage CI/CD and app-store releases, integrate APIs and third-party services, and establish responsible AI-assisted development practices. Collaborate with clients and cross-functional teams on feasibility, roadmaps, proposals, and solution architecture while ensuring performance, security, accessibility, and code quality.

Develop and maintain full-stack web applications using C#, .NET Core, React JS, and SQL Server. Collaborate with cross-functional teams, write maintainable code, participate in code reviews, troubleshoot defects, and improve application performance and development processes. The role also involves applying object-oriented design principles, developing Web APIs, working with relational databases, and contributing to testing, version control, Agile practices, and potentially cloud and CI/CD initiatives.

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.