Top AWS Jobs in Hyderabad

Develop and maintain scalable full-stack web applications across backend, frontend, databases, APIs, and cloud platforms. Responsibilities include designing applications, building services and responsive interfaces, optimizing SQL and NoSQL databases, integrating third-party services, troubleshooting production issues, writing secure maintainable code, and participating in testing, code reviews, and deployment. The role requires analytical problem-solving, understanding business requirements, effective communication, and adaptability across technology stacks.

Designs scalable Snowflake data models and architectures, builds ETL/ELT pipelines with Snowpipe, Azure Data Factory, and Matillion, and develops complex SQL and stored procedures. Responsibilities include incremental loading, data validation, performance tuning, warehouse and cost optimization, RBAC and governance, monitoring, error handling, troubleshooting, and production support. The role collaborates with cross-functional teams on requirements and solution design.

Lead the design, implementation, and optimization of Snowflake data warehousing solutions. Develop scalable data models and pipelines, optimize Snowflake performance and costs, oversee CI/CD automation, integrate monitoring and analytics tools, ensure data security and governance, and mentor junior engineers while aligning technical solutions with business requirements.

Design, develop, maintain, and optimize Talend ETL processes and scalable data pipelines. Extract and load data across databases, files, APIs, cloud platforms, and data warehouses such as Snowflake. Implement data transformations, quality checks, validations, monitoring, troubleshooting, documentation, governance, security, and privacy controls. Collaborate with architects, analysts, and stakeholders while supporting data migration and legacy-system integration projects.

Own the production lifecycle for traditional ML and generative AI systems, including deployment pipelines, model registries, monitoring, retraining, governance, and incident response. Build reliable AWS-based infrastructure for LLM and agentic applications, establish observability and cost controls, and create operational standards, runbooks, and documentation. Partner with U.S.-based Data Science, Data Engineering, and Product teams while independently managing production workloads during India operating hours.

Design, build, test, and deploy production-grade agentic AI systems using Python, LangGraph, LangChain, AWS Bedrock, and orchestration tools. Integrate AI agents with APIs and business systems, implement memory and retrieval, establish observability and safeguards, and develop reusable SDKs and templates. Collaborate directly with clients to define requirements, run experiments, and rapidly deliver reliable AI solutions using modern software engineering, cloud deployment, and CI/CD practices.

Design, build, operate, and scale reliable cloud-native infrastructure for partner organizations. Manage Kubernetes clusters, CI/CD pipelines, observability platforms, infrastructure as code, and production incident response. Implement SRE practices including SLIs and SLOs, automate operational workflows using Go or Python, support 24/7 on-call coverage, and explore AI, AIOps, and GPU infrastructure. Contribute to technical documentation, presentations, and open-source projects.

Designs, develops, tests, integrates, and supports software for satellite communications systems within an Agile Scrum team. Responsibilities include analyzing requirements, creating software architectures, developing multi-threaded and multi-process Linux applications in C++, troubleshooting deployment issues, and addressing embedded real-time challenges. The role collaborates with software, firmware, embedded, application, and test engineers while contributing to system direction, reliability, performance, documentation, technical leadership, and mentoring.

Hiring for multiple software engineering opportunities in Hyderabad, including fresher and experienced positions across Java, testing, Python, DevOps, AWS, full-stack development, data science, AI/ML, cybersecurity, Node.js, and React.js.

Own and operate AWS, Azure, and Databricks infrastructure supporting data engineering, data science, and MLOps teams. Responsibilities include cloud provisioning, networking, IAM, Unity Catalog administration, security controls, infrastructure as code, platform onboarding, automation, cost management, compliance evidence, troubleshooting, and operational documentation. The role establishes secure DEV, QA, and PROD environments and serves as the primary escalation point for Databricks and cloud platform issues.

Build and maintain batch and streaming data pipelines across AWS, Azure, and GCP using Databricks, Spark, PySpark, SQL, and Delta Lake. Implement medallion architecture, CDC, SCD, data quality, governance, security, metadata, and lineage controls. Configure storage, orchestration, CI/CD, monitoring, troubleshooting, and performance optimization. Collaborate with architects, data scientists, engineers, analysts, and product teams while documenting pipelines, transformations, testing, and operational procedures.

Build governed Databricks Lakehouse foundations and productionize machine learning and GenAI solutions, including forecasting, anomaly detection, NLP, RAG, and predictive analytics. Develop reliable batch and streaming workflows, CI/CD, monitoring, governance, security, lineage, and semantic models. Collaborate with product, data, platform, and domain teams to deliver measurable customer value while meeting reliability, compliance, cost, and operational objectives.

Lead the design and development of quantitative data engineering models, algorithms, data pipelines, and processing systems on AWS using Python. Build scalable pipelines that ingest, transform, validate, and aggregate large datasets. Develop statistical and machine learning algorithms, optimize performance, evaluate models, create visualizations, and document methodologies. Collaborate with data scientists, analysts, and business stakeholders to deliver reliable customer-facing quantitative solutions and actionable insights.

Develop and maintain full-stack software across development, testing, and deployment. Design REST API backends, write SQL, optimize production code, enforce engineering best practices, and build reusable core components. The role requires independent decision-making, accountability, critical thinking, and strong communication while contributing to products serving immunization data and public health clients.

The Technical Account Manager owns customer onboarding, engages with senior stakeholders, drives technical adoption, collaborates across teams, monitors customer satisfaction, advocates for customer needs, and ensures continuous improvement in processes.

Design, develop, maintain, and troubleshoot software integration solutions. Translate business requirements into technical specifications, automate integration tasks using Python and APIs, and work across AWS, GCP, Azure, Docker, and Kubernetes. Advise on intelligent process automation using UiPath and Power Automate, integrate Microsoft technologies such as Active Directory, evaluate third-party tools, and provide technical guidance to business teams.

Own reliability for major AWS production domains by defining SLOs, building observability and automation, managing capacity and self-healing, and leading complex incident response. Design Terraform modules and progressive delivery pipelines, operate ECS, EKS, Lambda, and PostgreSQL workloads, and reduce operational toil. Establish security and compliance controls, apply governed AI to operations, mentor SRE engineers, and standardize reliability practices across global teams.

Build and maintain CI/CD pipelines, deploy and scale Kubernetes workloads, manage AWS cloud infrastructure, and automate provisioning with Terraform or OpenTofu. Develop monitoring, alerting, dashboards, and observability workflows using Grafana and related tools. Troubleshoot infrastructure, networking, application, and production issues while improving reliability, scalability, security, and deployment efficiency. Collaborate with developers to enhance deployment workflows and automate repetitive operational tasks.

Own Plane’s infrastructure and operational architecture across cloud, multi-cloud, self-hosted, sovereign, and air-gapped environments. Lead Kubernetes, GitOps, CI/CD, security, observability, incident response, disaster recovery, database operations, compliance, cost optimization, and reliability. Build automated deployments and support secure AI workload infrastructure, including open-weight models. Partner across engineering teams to improve deployment speed, operational resilience, and developer experience.

Design, develop, and deploy enterprise data pipelines and data products using AWS and Databricks. Build Medallion Architecture pipelines, write Python, PySpark, and SQL code, optimize data workflows, troubleshoot production issues, and implement CI/CD using Databricks Asset Bundles, GitHub Enterprise, and GitHub Actions. Work hands-on across the full data engineering lifecycle in an Agile/Scrum environment.

Designs, implements, and optimizes AI-powered Amazon Connect contact center solutions. Develops voice and chat experiences using Amazon Lex and generative AI, integrates CRM, IVR, telephony, and enterprise applications, and builds intelligent routing, chatbots, agent assistance, and self-service capabilities using Amazon Bedrock, Amazon Q, Lambda, APIs, and AWS services.

Own the end-to-end development roadmap and delivery lifecycle for web and mobile cybersecurity platforms. Lead a sizeable team of full-stack, mobile, AI, and DevSecOps engineers; oversee MERN architecture and AWS infrastructure; drive Agile delivery, DevSecOps, secure SDLC, compliance, scalability, reliability, and cost optimization. Translate cybersecurity use cases into product features, guide AI-native security capabilities, manage technical risks and vendors, and report delivery progress and platform health to executives and stakeholders.

Develop and maintain high-performance backend services in Rust using asynchronous programming, REST APIs, databases, Redis, messaging systems, Docker, Kubernetes, and AWS. Responsibilities include writing tested and maintainable code, participating in code reviews, troubleshooting production issues, optimizing performance, implementing monitoring and error handling, and collaborating with senior developers, QA, DevOps, and product teams.

The Senior Platform Engineer will manage and build cloud-native infrastructures, develop backend features, ensure high availability, and interface with users while leveraging AI to enhance developer productivity.

Build and maintain infrastructure and integrations that move CMS, SCADA, and other customer data into cloud platforms. Monitor and resolve connectivity issues, support AWS infrastructure, respond to data support tickets, collaborate with service delivery teams, and improve connectivity processes for scalability and reliability. The role requires Linux command-line expertise, knowledge of data protocols, networking, and IT security, plus flexibility to support global operations outside normal business hours.