Top AWS Jobs in Hyderabad

Design, build, and optimize orchestrated data pipelines using dbt, Airflow, Azure Databricks, PySpark, SQL and Python. Implement CI/CD and automation, ensure data quality, perform ad-hoc analysis and reporting, collaborate with cross-functional teams, and troubleshoot DAG failures to support data-driven decision-making.

Design, build, and deploy production-grade AI applications integrated with LLMs to automate and optimize investment management workflows. Evaluate generative models, implement RAG and vector DB solutions, create automated workflows, collaborate with cross-functional teams, ensure security/compliance, and contribute to architecture, code reviews, and documentation.

Perform hands-on vulnerability triage and risk assessment across OS, containers, and dependencies; validate and reproduce customer and pentest findings; maintain and troubleshoot SAST/DAST and scanning pipelines; build PoC exploits to validate real-world risk; partner with Engineering to prioritize and ship fixes; improve vulnerability management processes and SLAs.

Own and scale AWS infrastructure, CI/CD, and cloud-native distributed systems supporting millions of users and real-time events. Responsibilities include Kubernetes and Docker environments, Terraform automation, GitHub Actions pipelines, observability, security, high availability, disaster recovery, and SaaS-to-on-prem deployments. The role also involves optimizing event ingestion, contributing to architecture decisions, collaborating across engineering teams, and leading DevOps initiatives.

Provides Tier 1–3 technical support and site reliability engineering for a global data and graph software product. Responsibilities include troubleshooting application, database, and infrastructure issues; incident response; monitoring system health; database optimization; automation; documentation; customer communication; onboarding; and collaboration with development teams. The role also mentors junior engineers and supports reliability improvements, production uptime, and reduced recurring incidents.

Build and ship production-grade full-stack applications for agentic AI use cases. Own user experience, application architecture, enterprise security, permissions, agent safeguards, auditability, deployment, scalability, observability, and marketplace packaging. Translate complex AI and graph capabilities into intuitive investigation workflows, collaborate with customers and cross-functional teams, and create reusable, configurable products deployable across enterprise customers and cloud environments.

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.

Leads an offensive security team within an MSSP, overseeing attack surface discovery, application security testing, red teaming, adversarial simulations, vulnerability assessments, and ransomware resilience testing. Develops cybersecurity services, guides research and automation, and presents technical findings to executives. Requires deep expertise in offensive security, cloud and container security, CI/CD testing, exploit development, attack surface management, and security tooling, plus substantial leadership experience.

Leads information security governance, risk, and compliance activities under the CISO’s office. Responsibilities include security assessments, control testing, internal audits, risk reporting, data protection compliance, GRC platform management, application security assessments, third-party risk management, client initiatives, and cybersecurity GRC projects. The role requires strong knowledge of security frameworks, IT environments, cloud systems, application development, stakeholder engagement, and cybersecurity standards.

Leads end-to-end incident response across enterprise and cloud environments, including detection, investigation, containment, eradication, recovery, forensics, and root cause analysis. Develops playbooks, improves detection and automation, coordinates stakeholders, leads post-incident reviews, mentors analysts, and supports on-call response to critical security incidents.

Design, deploy, and tune high-fidelity threat detection rules and policies across on-premise, cloud, and SaaS environments. Collaborate with security operations, threat hunting, and intelligence teams to address emerging threats, automate alert response, and reduce false positives. Onboard client environments, integrate data sources, create SIEM queries and dashboards, document detection processes, report security metrics, and communicate findings to stakeholders.

Deploys and engineers SIEM, EDR/XDR, SOAR, DLP, firewall, IAM, cloud, and zero-trust security platforms for MSSP/MXDR operations. Responsibilities include log onboarding, detection engineering, incident-response automation, endpoint and network hardening, cloud security, customer architecture workshops, technical presales support, platform monitoring, documentation, and Python-based automation. The role requires leading engineering initiatives and delivering production-grade security solutions across multi-tenant environments.

Provides cybersecurity architecture assessments, cloud and application security advisory, and implementation guidance across client environments. Reviews cloud, on-premises, hybrid, microservices, API, IAM, network, and workload security designs; identifies risks and misconfigurations; defines remediation; and validates security controls. The role advises engineering and infrastructure teams, supports DevSecOps and SOC improvements, leads technical workshops, escalates complex security issues, and translates findings into actionable recommendations.

Design, develop, test, deploy, maintain, and optimize secure full-stack web applications. Build responsive frontends, scalable backend services, RESTful APIs, and SQL/NoSQL data solutions. Integrate external services, implement security controls, troubleshoot production issues, improve performance, participate in Agile ceremonies and code reviews, contribute to architecture decisions, document systems, and mentor junior developers. Healthcare technology experience is preferred.

Develop and lead GIS data migration strategies for utility-sector clients, including extraction, cleansing, transformation, loading, validation, and integration. Build ETL workflows using FME, ArcGIS, and Python; manage enterprise spatial databases; design Utility Network data models and validation rules; document processes; support training; and mentor distributed teams.

Develop and maintain enterprise web applications using C#, ASP.NET, .NET Core, Angular, and SQL. Build REST APIs and microservices, optimize databases, implement CI/CD pipelines, and deploy containerized applications to cloud platforms. Collaborate with product, architecture, QA, and other teams while contributing to code reviews, debugging, performance optimization, documentation, and software quality improvements.

Identify and develop new AWS sales opportunities through networking, research, and cold calling. Understand client needs, propose tailored AWS solutions, collaborate with technical teams on proposals, manage the full sales cycle, achieve targets, and build lasting client relationships. The role also involves maintaining AWS market knowledge, supporting marketing campaigns and events, and driving customer satisfaction and repeat business.

Drive revenue growth for multi-cloud services by developing sales strategies, identifying and closing new business, managing the full sales cycle, and building long-term client relationships. Collaborate with technical and marketing teams, lead and mentor sales staff, track pipeline and performance metrics, monitor market trends, represent the company at client and industry engagements, and meet sales targets. Travel up to 50% of the time.

Drive enterprise sales and business development across India, focusing on healthcare, government, and enterprise clients. Responsibilities include lead generation, market expansion, consultative solution selling, proposal and RFP development, pricing negotiations, partner engagement, industry events, CRM forecasting, and achieving revenue targets. The role requires collaboration with presales, technical, and marketing teams, frequent domestic travel, and the ability to manage long sales cycles involving technology, SaaS, AI, cloud, and digital transformation solutions.

Design and develop scalable full-stack applications using C#, .NET Core, Angular, and Rust. Architect REST APIs and microservices, optimize SQL and NoSQL databases, and deploy cloud-native systems on Azure or AWS. Build containerized applications with Docker and Kubernetes, maintain CI/CD pipelines, and implement secure SDLC, testing, monitoring, and observability practices. Collaborate with DevOps, QA, and product teams while mentoring junior engineers and promoting engineering best practices.

Design, develop, and maintain scalable backend services, APIs, and distributed systems using Rust and C#. Optimize SQL Server databases, troubleshoot production issues, and improve system performance and stability. Collaborate with product, QA, and frontend teams on end-to-end features. Participate in architecture discussions, code reviews, testing, documentation, CI/CD, deployment automation, monitoring, and technical planning.

Design and develop Streamlit web applications and dashboards, build and optimize database integrations (relational and NoSQL), implement backend functionality, ensure code quality via reviews, deploy and monitor apps on cloud platforms, troubleshoot performance issues, and create Power BI visualizations. Optionally integrate GenAI features and vector-search capabilities.

Design, build, and maintain scalable ETL/ELT data pipelines and Snowflake-based data warehouses on AWS. Implement ingestion, transformation, orchestration, data quality, performance tuning, and monitoring; collaborate with stakeholders and troubleshoot production data platform issues.

Own strategy, roadmap, and delivery for SIEM/SOC/EDR/XDR and Threat Data Hub products. Translate customer and market signals into fast, reliable releases; design agentic AI detection-to-response workflows; define data contracts, retention, and enterprise-grade reliability (SLOs, canaries, rollback); collaborate with GTM, sales, and customers; ensure compliance, privacy, and ethical AI practices.

Designs, develops, and executes performance, load, stress, and scalability tests for web and enterprise applications. Creates test plans and scripts, analyzes metrics with APM tools, identifies bottlenecks, recommends tuning, integrates performance testing into CI/CD, and supports capacity planning and risk assessments.