Top AWS Jobs in Hyderabad

Lead the design and implementation of scalable software systems across Built In’s product lines. Drive technical features, improvements, AI-enabled capabilities, and end-to-end software development on public cloud platforms. Analyze system-level issues, implement solutions, collaborate across product and technology teams, and mentor engineers while promoting agile development, observability, continuous delivery, and engineering excellence.

Design, develop, and maintain scalable cloud-native applications using Java, Spring Boot, microservices, Kubernetes, and Kafka. Deploy and manage containerized workloads across AWS, Azure, or Google Cloud Platform while optimizing availability, performance, security, and resource utilization. Collaborate with cross-functional teams to define technical requirements, troubleshoot issues, and support digital transformation initiatives.

Develop and ship fintech application features using the MERN stack. Build secure payment, banking, biller, and payment gateway integrations; manage transaction processing, reconciliation, databases, and messaging systems. Write tests, participate in code reviews, troubleshoot production issues, and collaborate with product, engineering, QA, and support teams. The role also involves following RBI/NPCI guidelines and supporting junior engineers.

Own vulnerability management across SaaS and on-premises products, including triage, tracking, correlation, remediation, patch planning, and risk mitigation. Integrate security tools, automate manual processes, track SLAs, and create compliance dashboards. Collaborate with product and business security teams, contribute to governance, support incident response, publish CVE advisories, and mentor junior team members.

Own architecture and production reliability for scalable MERN platforms. Design APIs, data models, security, observability, cloud infrastructure, and compliance-focused payment and healthcare flows. Make architectural decisions, solve performance bottlenecks, lead incident response, establish engineering standards, review code, mentor engineers, and remain hands-on with Node.js, React, TypeScript, and cloud-native systems.

Build and manage data pipelines, enterprise connectors, raw-to-mart data layers, metadata and semantic indexes, vector databases, data quality controls, lineage, governance, and audit data stores. Support RAG and LLM applications with grounded, traceable data. Required skills include Python, SQL, modern data platforms, orchestration, API integration, testing, Git, and CI/CD. Bonus experience includes unstructured content processing, knowledge graphs, regulated life sciences data, and cloud or platform certifications.

Develop full stack enterprise AI applications using React, React Native, and Python. Build REST APIs, relational databases, ETL pipelines, enterprise integrations, and reliable production systems. Troubleshoot issues, optimize performance, write tested code, and collaborate with product, design, and AI engineering teams. The role may also involve Docker, Kubernetes, cloud platforms, LLMs, workflow engines, and data warehousing.

Design, build, and maintain scalable data infrastructure for digital and physical operations. Responsibilities include architecting data lakes and lakehouses, developing ETL and ELT pipelines, using Airflow and Spark, creating data models in Snowflake or Databricks, coding in Python, SQL, and Scala, and monitoring data platforms for reliability, security, and performance.

Develop and maintain responsive web and mobile applications using React.js and React Native. Build reusable UI components, integrate REST APIs and third-party services, troubleshoot applications across platforms, and collaborate with backend and design teams. Work with Microsoft Azure or AWS cloud services, deployment environments, and AI-powered development tools while following software development best practices.

Manage end-to-end recruitment for Oracle ERP and Fusion consultants across functional and technical domains. Responsibilities include sourcing, screening, candidate assessment, interview coordination, stakeholder partnership, offer negotiation, joining management, talent pipeline development, recruitment reporting, and meeting hiring KPIs across India, the Middle East, and GCC markets.

Design, automate, monitor, and optimize AWS cloud infrastructure and SaaS applications for reliability, scalability, and performance. Responsibilities include on-call incident response, disaster recovery, chaos engineering, troubleshooting, post-mortem analysis, and promoting SRE best practices across teams.

Develop predictive credit risk, underwriting, pricing, segmentation, and portfolio performance models. Analyze financial, behavioral, and merchant data; conduct experiments; refine credit policies; integrate models into production; and monitor performance for governance and regulatory compliance. Communicate analytical findings to technical and business stakeholders across Credit Risk, Product, Engineering, Underwriting, and Compliance.

Leads the Hyderabad AI platform support team, manages hiring, training, shifts, and on-call rotations, and serves as the final technical escalation point. Owns severe incident response, customer communications, root-cause analysis, security incidents, support tooling, runbooks, knowledge management, lab environments, and KPI reporting. Partners with Engineering, Product, Security, and field teams while supporting key enterprise accounts and driving recurring issue resolution.

Designs, manages, and automates secure AWS infrastructure and DevOps environments. Responsibilities include Terraform and Ansible automation, Kubernetes and ECS administration, RDS management, GitLab CI/CD pipeline development, monitoring with observability tools, troubleshooting distributed systems, vulnerability remediation, and collaboration with engineering and QA teams. The role also applies AI-driven monitoring and incident-resolution practices.

Own the AWS cloud security posture and secure GitLab CI/CD pipelines. Lead vulnerability management, remediation of security findings, governance guardrails, compliance, container and workload hardening, Terraform security, threat detection, incident response, and security automation. Mentor engineering teams, establish standards and runbooks, conduct architecture reviews, and promote DevSecOps practices across the organization.

Plan and manage end-to-end software releases for graph database, cloud, and integration products. Coordinate engineering, product, QA, DevOps, and support teams; establish schedules, track dependencies, oversee testing and defect triage, manage risks, and ensure high-quality, on-time releases. Partner with DevOps to improve CI/CD automation using Jenkins, Docker, and Kubernetes, while supporting release governance for complex distributed systems.

Provide senior-level managed services support for enterprise AWS infrastructure, including monitoring, incident response, root cause analysis, remediation, maintenance, patching, backups, and disaster recovery. Lead customer discussions and escalations, present operational insights, mentor junior engineers, and improve operations through Terraform or CloudFormation automation. Support AWS cost optimization, security hardening, compliance alignment, documentation, and operational playbooks while working US-aligned shifts from Hyderabad.

Design, develop, and maintain scalable full-stack applications using Node.js and React. Build backend services, REST APIs, microservices, and optimized PostgreSQL databases. Deploy cloud-native applications using AWS, Azure, or GCP, and implement Docker, Kubernetes, and CI/CD pipelines. Resolve production issues, improve performance, ensure security and reliability, conduct code reviews, mentor engineers, and collaborate cross-functionally.

Develop and maintain tested, scalable software across Python and Ruby web services, customer-facing applications, and secure APIs. Collaborate with product and geographically distributed engineering teams while applying continuous integration, Scrum, refactoring, and peer review practices. Build AWS serverless solutions and adopt relevant technologies. Front-end development, relational databases, Docker, testing libraries, version control, and code quality tools are also required.

Build and secure multi-account AWS cloud platforms using Terraform, AWS CDK, GitOps, and automated CI/CD. Develop reusable infrastructure modules, enforce security and compliance controls, modernize monoliths into microservices, and improve reliability through observability, progressive delivery, and operational practices. Create self-service developer platforms, golden paths, documentation, and cost-management guardrails while supporting incident response and production systems.

Conduct authorized penetration tests and red-team exercises across applications, APIs, cloud infrastructure, Kubernetes, networks, and AI systems. Develop security tools, exploit proofs of concept, detection rules, and automated attack simulations. Harden infrastructure, implement security controls, investigate suspicious activity, support incident response, and test LLM applications for prompt injection, data leakage, and tool-abuse risks. Partner with engineering teams to remediate vulnerabilities and embed continuous security validation into the SDLC.

Administer cloud and on-premises infrastructure, including Azure, Microsoft 365, Windows servers, networking, virtualization, and end-user systems. Configure DNS, DHCP, Active Directory, Group Policy, Intune, Exchange, and Teams; support macOS and Linux environments; monitor systems, troubleshoot incidents, document infrastructure, and improve security, resilience, scalability, and cost efficiency across hybrid environments.

Build and manage observability solutions using Datadog and Splunk across applications, cloud infrastructure, APIs, and Kubernetes. Develop dashboards, alerts, reports, SPL queries, and distributed tracing capabilities. Troubleshoot production incidents, conduct root cause analysis, and improve system reliability in collaboration with DevOps, SRE, application, and infrastructure teams. Automate monitoring tasks using Python, Bash, and Terraform.

Designs and maintains scalable Snowflake ETL/ELT pipelines, SnapLogic integrations, and dbt transformation models. Responsibilities include dimensional and medallion architecture, performance and cost optimization, data quality, governance, CI/CD, documentation, and responsible use of AI-assisted development tools. Partners with analytics teams, mentors junior engineers, and helps establish reusable AI workflows and engineering standards.

Own Supabase’s cloud and SaaS vendor relationships, including negotiations, renewals, procurement governance, spend visibility, reporting, and optimization. Build the procurement and FinOps function, develop cost dashboards and governance standards, drive savings through right-sizing and consolidation, and coordinate cloud efficiency initiatives. Manage a distributed team, roadmap, intake, and stakeholder alignment while partnering with Finance, Engineering, Legal, and vendors.