Top AWS Jobs in Hyderabad

Design and implement Contentful content models and APIs, build content-driven web apps using React/Next.js/Angular and TypeScript, implement CI/CD and AWS deployments, collaborate with UX and stakeholders, mentor developers, and troubleshoot and optimize production systems.

Designs, develops, tests, debugs, and maintains applications, services, APIs, and frameworks. Participates in design discussions and code reviews, leverages AI-assisted development tools, builds automation and CI/CD pipelines, and collaborates with cross-functional teams to deliver secure, high-quality software on schedule.

Senior-level backend engineer responsible for designing, developing, and optimizing server-side applications and databases, integrating APIs and third-party services, ensuring security and scalability, producing documentation, mentoring junior staff, and supporting deployments and production operations.

Design and maintain automated test frameworks (UI, API, data, performance), validate high-volume data pipelines and microservices, implement data quality checks, collaborate with cross-functional teams in Agile delivery, and drive QE best practices and release readiness.

Lead and architect software solutions, design and implement features, maintain and tune existing high-revenue products, perform analysis and code reviews, troubleshoot complex problems, and collaborate with stakeholders while participating in Agile/scrum ceremonies.

Design and implement scalable automation solutions using Python, infrastructure as code, CI/CD, cloud platforms, GenAI frameworks, observability tools, and SRE practices. Define automation standards and roadmaps, track value realization, drive continuous improvement, and provide mentoring and stakeholder leadership. The role is based in Hyderabad and requires strong technical, leadership, and stakeholder management skills.

Lead the design and implementation of Generative AI applications and collaborate with teams to deliver AI solutions while ensuring security, performance, and scalability of cloud applications.

Designs, develops, and executes automated UI, API, integration, backend, functional, and performance tests. Responsibilities include expanding automation frameworks and regression coverage, creating testing utilities, validating cloud-based and multi-tier applications, analyzing defects, and supporting CI/CD continuous testing. The role collaborates with developers and QA engineers in Agile/Scrum teams, participates in sprint ceremonies, manages defects in JIRA, and communicates testing progress and risks.

Designs, develops, and executes automated UI, API, integration, backend, functional, and performance tests. Maintains test plans, cases, frameworks, regression coverage, and testing utilities; analyzes results and defects; and supports manual validation when needed. Collaborates with developers and QA engineers in Agile/Scrum teams, manages defects in JIRA, tests cloud and distributed applications, and integrates automation into CI/CD pipelines.

Build and maintain CI/CD pipelines, implement Infrastructure as Code with Terraform, support Kubernetes and cloud platforms, respond to production incidents, and improve monitoring and observability. Collaborate with Cloud Solutions and Data Engineering teams to enable secure, repeatable delivery of cloud-native data solutions. Experience with GitOps, Kubernetes cluster management, DevSecOps, compliance automation, and FinOps is advantageous.

Build and maintain CI/CD pipelines, implement Terraform-based Infrastructure as Code, and support Kubernetes container orchestration for cloud-native data solutions. Collaborate with cloud and data engineering teams, provide production support and incident response, and improve monitoring and observability. Preferred experience includes GitOps tools such as ArgoCD or Flux, Kubernetes cluster management, DevSecOps, compliance automation, and FinOps.

Build and maintain CI/CD pipelines, implement Infrastructure as Code with Terraform, support Kubernetes and cloud platforms, and collaborate with cloud and data engineering teams. The role includes production support, incident response, monitoring and observability improvements, and secure, repeatable delivery of cloud-native data solutions. Additional responsibilities may include GitOps, Kubernetes cluster management, DevSecOps automation, compliance, and cloud cost optimization.

Design, build, and maintain scalable automated test frameworks for multi-tier, microservices-based, distributed, and cloud-native systems. Develop UI, API, integration, regression, and performance tests; integrate automation into CI/CD pipelines; analyze failures; document results; estimate testing effort; collaborate with developers, DevOps, product teams, and stakeholders; and provide technical leadership on quality engineering practices.

Develop and enhance complex full-stack web applications for a data and identity platform. Collaborate with product, engineering, and project teams in an Agile environment; guide team priorities, resolve functional and performance issues, remediate vulnerabilities, coordinate implementation plans, review code, and mentor junior engineers. The role requires expertise in Vue.js, JavaScript, Java, Node.js, TypeScript, cloud platforms, REST APIs, automated testing, infrastructure as code, release automation, and Linux.

Develops and manages enterprise monitoring, alerting, dashboards, log pipelines, and Datadog instrumentation. Automates monitoring and configuration with scripts and Terraform, designs CI/CD integrations, manages incident and change processes, performs root cause analysis, documents procedures, trains stakeholders, and uses service metrics to drive continuous improvement.

Build and maintain scalable Python and FastAPI REST APIs, microservices, and asynchronous services. Develop responsive React interfaces and integrate them with backend APIs. Design SQL schemas and optimize queries. Deploy and monitor cloud-native applications on AWS, maintain CI/CD pipelines, automate infrastructure with CloudFormation or Terraform, and use Docker and Git. Collaborate on architecture, security, testing, code reviews, and Agile delivery.

Designs, deploys, configures, and supports enterprise monitoring and log management solutions across hybrid environments. Develops Python and Bash automation, integrates cloud and infrastructure tools, creates operational dashboards, analyzes logs and metrics, troubleshoots system issues, and improves alerting and incident detection. Collaborates with engineering and service teams to define monitoring strategies, maintain high availability, meet SLAs, and document configurations and best practices. Requires flexibility for 24/7 rotational shifts and on-call support.

Build and maintain CI/CD pipelines, Terraform-based Infrastructure as Code, and Kubernetes automation for secure cloud-native data delivery. Support public cloud environments, production systems, incident response, monitoring, and observability improvements. Collaborate with Cloud Solutions and Data Engineering teams. Preferred experience includes GitOps tools such as ArgoCD or Flux, Kubernetes cluster management, DevSecOps, compliance automation, cost optimization, and FinOps.

Develop and enhance complex full-stack web applications for a data and identity delivery platform. Guide team priorities, resolve functional and performance issues, remediate vulnerabilities, coordinate implementation plans, review code, and mentor junior engineers. Collaborate with product owners, project managers, stakeholders, and engineering teams in an Agile environment while ensuring delivery and code quality.

Build, automate, and maintain secure multi-cloud network infrastructure using Terraform. Deploy and autoscale Palo Alto VM-Series firewalls, standardize AWS and Azure networking, enforce security policies, implement compliance-as-code and automated remediation, and create guardrails with SCPs and IAM boundaries. Perform Tier-3 troubleshooting using packet analysis and cloud observability tools, document network standards and procedures, and mentor teammates on infrastructure-as-code practices.

Build and maintain scalable Python and FastAPI APIs, React interfaces, SQL data layers, and AWS cloud-native applications. Responsibilities include microservices, asynchronous processing, API integration, database optimization, CI/CD pipelines, infrastructure automation, Docker deployments, monitoring, security, testing, code reviews, and Agile collaboration.

Operate and optimize cloud infrastructure, applications, and platform services across development and production environments. Responsibilities include reliability engineering, incident response, on-call support, infrastructure as code, CI/CD enablement, monitoring, security governance, disaster recovery, cost optimization, cloud migration support, and operational documentation. The role collaborates with DevOps, development, architecture, and security teams to automate deployments, improve performance, and maintain highly available cloud environments.

Lead the design, deployment, security, scalability, and cost optimization of AWS infrastructure. Improve Datadog observability, Jenkins CI/CD pipelines, Kubernetes operations, and infrastructure automation using Terraform or Ansible. Ensure HIPAA, GDPR, and SOC 2 compliance, promote high availability and fault tolerance, lead complex technical initiatives, and mentor junior engineers.

Develop and maintain full-stack applications using Java, Spring Boot, React, REST APIs, SQL, and microservices. Build integrations with enterprise systems such as Salesforce and Snowflake, perform testing and debugging, participate in code reviews and Agile ceremonies, and contribute to architecture and API design. Use AI-assisted development tools and explore agentic AI solutions to improve application functionality and engineering workflows.

Design and develop scalable cloud-native applications, microservices, RESTful APIs, serverless architectures, and event-driven systems on AWS using Python. Build and orchestrate data pipelines, implement security and infrastructure best practices, write tests, optimize performance and costs, conduct code reviews, enforce standards, mentor engineers, and collaborate with product, QA, and DevOps teams.