Top AWS Jobs in Hyderabad

Develops test strategies and plans; executes functional, regression, integration, performance, and security testing; builds automated UI, API, and backend test frameworks; integrates tests into CI/CD pipelines; performs defect root-cause analysis; improves quality processes; collaborates with developers and product owners; mentors junior QA analysts; and communicates testing risks and results.

Build and maintain AWS and Cloudflare cloud infrastructure, network automation, and production environments. Troubleshoot cloud, network, and CDN issues; develop automation, runbooks, and technical documentation; and support change management, audits, compliance, and security practices. The role also supports networking technologies including firewalls, WAF, DNS, SSL/TLS, and data center networking, while exploring AI tools for infrastructure operations and incident analysis.

Design, build, and lead end-to-end system features from UI to backend. Provide technical leadership, mentor juniors, collaborate across teams, and deliver scalable cloud-first solutions using Java and AWS within an agile CI/CD environment.

Own reliability, availability, performance, observability, and operational excellence for an Agentic AI ERP platform. Operate Kubernetes environments and AI platform components, lead incident response and root-cause analysis, establish SLIs, SLOs, and error budgets, and improve resilience, scalability, disaster recovery, and automation. Support cloud-hosted, customer-hosted, and air-gapped deployments while collaborating with platform, AI, product, DevOps, and security teams.

Provides production application support for critical financial-market applications. Responsibilities include incident resolution, root-cause prevention, monitoring automation, application deployments and upgrades, disaster recovery execution, audit responses, runbook maintenance, risk controls, and collaboration with development, infrastructure, vendors, and business teams. The role also supports production defects, minor enhancements, and application design and development activities.

Lead design and implementation of release infrastructure, enterprise CI/CD pipelines, and Terraform-based environment automation for an AWS microservices platform. Enable self-service developer platforms, enforce policy-as-code and compliance, implement observability-driven deployments with automated rollback, define pipeline-as-code, measure DORA metrics, and provide technical mentorship to drive DevOps culture transformation.

Provides technical leadership for database architecture, cloud engineering, application modernization, and data integration initiatives. Designs scalable and secure database solutions, supports migrations, resolves complex production issues, reviews architectures and code, mentors technical teams, and guides clients on transformation strategies. The role also contributes to technical proofs of concept, solution proposals, DevOps automation, cloud-native engineering, and adoption of AI-enabled modernization approaches.

Design, build, deploy, and support enterprise semantic tooling and integrations. Participate across SDLC including prototyping, CI/CD/IaC, cloud-native deployments, production support, observability, security, and lifecycle management for knowledge-graph related services.

Design, develop, test, and maintain secure, reliable, high-performance backend services and APIs for AI applications. Build retrieval and orchestration services integrating with machine learning systems, optimize distributed systems for scalability and low latency, and implement observability, security, privacy, and fault-tolerance practices. Collaborate with Product, Machine Learning, Infrastructure, Design, and engineering teams while contributing to architecture, technical planning, experimentation, and system reliability improvements.

Lead engineering for SaaS enterprise catalog and data onboarding: define and execute roadmap, architect shared capabilities, manage end-to-end SDLC and cloud-native deployment automation, ensure security/compliance/observability, and scale software, quality, and cloud engineering teams across divisions.

Architect and develop scalable cloud-based data applications and enterprise data pipelines. Lead AI and GenAI initiatives, optimize existing systems, troubleshoot cloud infrastructure, and ensure reliability and availability. Provide technical leadership through code reviews, coding standards, documentation, and collaboration with global stakeholders. The role requires expertise in Python, SQL, PostgreSQL, cloud platforms, Terraform, BigQuery, event-driven architecture, and data processing technologies.

Develop and support AI-driven security products for API management and observability. Own features end to end from incubation through delivery, collaborate with architects, ensure quality, scalability, security, performance, testing, and documentation, and mentor junior engineers. Use Java, cloud platforms, containers, RESTful services, distributed systems, and AI-assisted development practices in an Agile environment.

Design and develop cross-platform enterprise security software, APIs, distributed systems, database integrations, and user interfaces. Debug complex multithreaded applications, resolve customer escalations, create hotfixes, and support product releases. Build automated tests, integrate features into continuous integration pipelines, advise on deployment configurations, and collaborate with technical writers and cross-functional teams. Apply AI-assisted development, spec-driven methods, agentic workflows, and rigorous review of AI-generated code.

Develop and support AI-assisted, high-quality security products for API management and observability. Own features end to end from incubation through delivery, collaborate with architects and technical leaders, and apply Agile SDLC, CI, secure coding, scalability, testing, documentation, refactoring, and performance practices. Mentor junior engineers, review code, establish engineering best practices, troubleshoot complex distributed systems, and drive product quality and reliability.

Develop and support AI-driven security products for API management and observability. Own features end to end from incubation through delivery, collaborate with architects and technical leaders, ensure software quality, performance, scalability, security, testing, and documentation, and mentor junior engineers. Use Agile and SDLC practices while applying AI-assisted development, agent orchestration, code review, refactoring, troubleshooting, and distributed-systems expertise.

Lead a portfolio of engineering teams to ensure delivery health, engineering excellence, people development, resource planning, and operational/financial governance across multiple customer engagements.

Design, develop, and support scalable backend services, APIs, data integration, and event-driven applications using Python/Node.js and AWS. Collaborate with stakeholders, follow security and architecture standards, improve engineering practices, and support team development within an Agile environment.

Build and operate GitHub Enterprise Server release systems, including OS and container image builds, package generation, certification pipelines, integration test environments, and artifact distribution through Azure, AWS, and GCP. Improve CI reliability, observability, issue detection, troubleshooting, release safety, and engineering velocity. Partner across engineering teams to resolve failures and provide operational support for critical release infrastructure.

Build and maintain Wealth Management widgets and Micro Front-End applications using React, Node.js, Express.js, TypeScript, GraphQL, and AWS. Develop scalable, secure, high-performing full-stack solutions, collaborate with global stakeholders, contribute to architecture and technical decisions, participate in Agile ceremonies, and mentor junior engineers.

Designs and manages Azure and AWS cloud infrastructure, CI/CD pipelines, infrastructure-as-code, automation, and containerized platforms. Responsibilities include administering Windows and hybrid environments, supporting Active Directory and networking services, improving reliability, security, monitoring, backup, and disaster recovery, troubleshooting complex issues, leading root-cause analysis, contributing to architecture and strategy, and participating in on-call support.

Design and implement scalable automation solutions using Python, infrastructure as code, CI/CD, DevOps, cloud platforms, and modern AI frameworks. Establish automation standards, best practices, and roadmaps while driving value tracking and continuous improvement. Apply observability and SRE practices, mentor engineers, and lead stakeholder engagement across platforms.

Develop and maintain Java full-stack applications, microservices, REST APIs, and event-driven solutions using Kafka. Lead AWS cloud modernization initiatives, migrate monolithic systems, optimize Oracle and Redis-backed applications, and implement secure, scalable cloud-native architectures. Collaborate with architects, DevOps, and QA teams in Agile environments while mentoring junior developers and contributing technical leadership to enterprise modernization projects.

Review and integrate application and technical architecture requirements across security, integration, performance, quality, and operations. Design and implement Databricks data ingestion and end-to-end pipelines from multiple sources using cloud platforms, ETL, data engineering, and programming languages such as Python, PySpark, or Scala. Lead solution workshops, support RFP pursuits, engage clients, and coordinate multiple stakeholders while delivering data-driven technical solutions.

Provides AWS and DevOps architecture direction, designs technology solutions, develops architectural roadmaps, and guides engineering teams through implementation and modernization. Collaborates with clients and technical leadership on operational analytics goals, recommends technology stacks, leads project workstreams, supports consulting pursuits, and mentors architects or developers. The role also requires technical leadership, client relationship development, complex project management, and occasional travel.

Lead operational support for SnapLogic and dbt data integration pipelines, including monitoring, incident response, root-cause analysis, SLA management, performance optimization, and release coordination. Manage a small support team, on-call rotations, ticket triage, runbooks, and operational metrics. Partner with client stakeholders and data platform teams to prioritize issues, communicate status, and deliver permanent fixes.