Top AWS Jobs in Chennai

Build, train, and optimize machine learning and GenAI models, including RAG and LLM integrations. Develop production-grade Python and FastAPI services, scalable APIs, and cloud-based ML solutions across GCP, Azure, and AWS. Support cloud migration, ML platform modernization, CI/CD implementation, API integrations, and modular object-oriented design while collaborating with product, data engineering, and infrastructure teams.

Designs and manages scalable AWS infrastructure, including VPC, EC2, S3, RDS, Lambda, and EKS. Develops Terraform infrastructure as code, improves CI/CD and cloud-native application delivery, and implements monitoring, logging, and alerting. Leads incident response, troubleshooting, security controls, and operational improvements while mentoring junior engineers and evaluating emerging AWS technologies.

Lead global cloud operations across AWS, Azure, and GCP, managing distributed teams and 24x7 support. Responsibilities include service delivery, incident management, governance, security, monitoring, disaster recovery, business continuity, cloud financial operations, cost optimization, capacity planning, and executive reporting. The role requires maintaining highly available, reliable, secure, and compliant enterprise cloud platforms while standardizing operating models and operational processes.

Designs, experiments with, deploys, monitors, and evaluates machine learning models. Requires full-stack development involving Python, React, AWS, APIs, and SQL, along with statistical and probabilistic foundations. The role supports AI/ML initiatives in a consulting environment serving financial services and energy clients.

Drive partner-generated pipeline, new ARR, and customer acquisition across India. Build joint business plans with distributors, resellers, systems integrators, and technology alliances; activate high-potential partners; enable partner sales and technical teams; manage account mapping, deal registration, governance, channel conflicts, and partner performance; and collaborate with direct sales teams to develop and close opportunities.

Analyze structured and unstructured data to identify trends, build dashboards and reports, define KPIs, validate data quality, and provide actionable recommendations. The role requires SQL, BI visualization, Excel, relational database experience, and collaboration with business and technical stakeholders. Preferred skills include Python, ETL and data warehousing, cloud platforms, statistical analysis, forecasting, machine learning concepts, and Agile experience.

Administers and secures enterprise Active Directory, AD CS, PKI, and hybrid Microsoft Entra identity environments. Manages certificate lifecycles, directory architecture, synchronization, authentication, authorization, trust, monitoring, automation, incident response, compliance, and disaster recovery. Troubleshoots complex directory and certificate issues, partners with Security and Infrastructure teams, documents procedures, and trains technical stakeholders.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Build, maintain, and optimize enterprise data platforms using Databricks, Spark, cloud technologies, and DevOps practices. Develop CI/CD pipelines, support cloud migration and automation, monitor platform health, troubleshoot incidents, and ensure reliable, secure, and scalable data services. Participate in rotational production support across global time zones, perform root cause analysis, maintain operational documentation, and collaborate with engineering, architecture, product, and business teams.

Design, build, test, deploy, and maintain innovative distributed software systems. Lead technical direction and feature roadmap for a critical international expansion function, optimize service performance and security, and operate in an agile environment. The role includes significant autonomy, cross-functional communication, and opportunities to hire and shape the engineering team. Candidates should have strong computer science fundamentals, modern software development experience, and familiarity with cloud, databases, frontend frameworks, machine learning, and DevOps technologies.

Administer and secure CyberArk Privileged Cloud and enterprise privileged access environments. Manage non-human identities, service accounts, API keys, secrets, certificates, and workload identities throughout their lifecycles. Troubleshoot PAM, authentication, network, and connectivity issues; automate onboarding and credential rotation with PowerShell, Python, and APIs; support SIEM monitoring and incident response; and build Power BI reporting. Partner with security, infrastructure, and application teams while enforcing least privilege, compliance, documentation, training, and continuous improvement.

Administers and automates Saviynt IGA environments, including application onboarding, connectors, lifecycle workflows, access certifications, RBAC, SoD controls, and entitlement management. Develops PowerShell and Python integrations using REST APIs and SCIM, troubleshoots provisioning issues, analyzes logs, supports SIEM and incident response, and ensures compliance with SOX, PCI-DSS, NIST, and ISO 27001. Partners with security, infrastructure, application, and audit teams while documenting processes, training stakeholders, and improving governance operations.

Resolves critical technical issues for high-value customers through root cause analysis, advanced network troubleshooting, bug reproduction, testing, and engineering collaboration. Supports cloud networking environments, Linux systems, automation, QA, documentation, and customer communication. The role also contributes to feature feedback, support content, and off-hours escalation coverage.

Develop and own highly scalable backend services for IoT, order, and payment systems. Responsibilities include Java and Python development, distributed systems design, database and cache optimization, event-driven architectures, production troubleshooting, observability, incident response, reliability improvements, and collaboration with Infrastructure, QA, and Product teams.

Lead the architecture, development, performance, release process, and roadmap for SimpleStudy’s consumer iOS app. Mentor existing mobile engineers, establish technical direction, deliver polished native experiences, run experimentation and analytics, manage App Store operations, and collaborate with engineering and product leadership. The role involves Swift, SwiftUI, UIKit, testing, performance optimization, crash monitoring, and potential mobile team expansion.

Leads enterprise architecture for scalable, multi-tenant SaaS systems and cloud-native platforms. Owns AWS architecture, distributed data pipelines, cost optimization, security, governance, and architectural standards. Drives GenAI and machine learning adoption across the software development lifecycle, builds self-service capabilities, guides engineering teams, conducts prototypes, and leads architecture reviews. Requires deep hands-on cloud, distributed systems, coding, infrastructure automation, AI/ML, and strategic technology leadership experience.

Integrate security into software delivery and infrastructure workflows across AWS and GCP. Build scanning into CI/CD pipelines, maintain security guardrails, secure containerized workloads, implement least-privilege access and secrets management, and support compliance with SC TRM and BNM RMiT. Improve monitoring, vulnerability reporting, incident readiness, and secure delivery practices while collaborating with platform and engineering teams using multiple programming languages.

Design, develop, test, release, and maintain scalable Vue.js web applications. Build reusable responsive interfaces, write unit and integration tests, optimize performance, troubleshoot cross-browser issues, and collaborate with product, design, backend, and QA teams. Present technical approaches, follow Agile practices, and mentor junior developers. The role requires deep Vue.js expertise, enterprise-scale application development, state management, testing, monitoring, and error-tracking experience.

Investigate, diagnose, test, document, and resolve SaaS application bugs across production and change releases. Create test cases, perform regression and sanity testing, analyze logs and databases, support monitoring and alerting, coordinate with development and infrastructure teams, and manage defects through closure. The role includes service management, root-cause analysis, security testing support, knowledge documentation, AI tool adoption, and on-call production support.

Build and own end-to-end evaluation frameworks for LLMs and multi-step AI agents, including benchmarks, automated and human-in-the-loop evaluators, golden datasets, regression suites, production monitoring, and quality dashboards. Partner with research, product, Trust & Safety, and legal teams to define rigorous metrics and translate evaluation results into training and deployment decisions. Mentor engineers and establish evaluation best practices.

Designs and maintains CI/CD pipelines, AWS cloud architectures, Linux environments, and infrastructure automation. Develops Python and Shell/Bash scripts for provisioning, configuration management, system administration, and monitoring. The role focuses on improving deployment reliability, scalability, performance, security, and cost efficiency while troubleshooting network and infrastructure issues and supporting continuous improvement across technical teams.

Design, build, and operate AWS and Kubernetes infrastructure powering production AI systems. Own CI/CD, infrastructure as code, GitOps, observability, secrets management, GPU workloads, model serving, reliability, security, scalability, and cost optimization. Troubleshoot production incidents, perform root-cause analysis, and develop automation using Python and Bash while collaborating across Engineering, ML/AI, Security, and Product teams.

Manage SaaS Kubernetes applications in AWS and OCI, respond to alerts and incidents, deploy infrastructure technologies, triage client-service tickets, troubleshoot operating systems, applications, virtualization, and containers, and develop automation to improve operational SLAs. The role supports large-scale Java applications and requires expertise in Terraform, Kubernetes, automation, performance tuning, IIS, Tomcat, and full-stack troubleshooting.

Manage SaaS Kubernetes applications in AWS, respond to alerts and incidents, deploy infrastructure technologies, triage client service tickets, troubleshoot operating systems, applications, virtualization, and containers, and improve operational automation and SLAs. The role requires cloud operations experience, AWS, Terraform, Kubernetes, Linux, automation, Java application support, performance tuning, container management, and full-stack troubleshooting.

Leads the design and improvement of DevOps platforms, CI/CD pipelines, infrastructure automation, cloud environments, container orchestration, observability, security controls, and SRE practices. Partners with engineering teams to improve delivery speed, reliability, deployment quality, and developer self-service. Provides technical leadership, mentoring, governance, incident response, resilience engineering, and cloud cost optimization across production and non-production workloads.