Top AWS Jobs in Chennai

The Senior Sales Engineer will provide technical leadership throughout enterprise sales cycles, translating customer business needs into storage and data-management solutions. Responsibilities include partnering with account teams and channel partners, conducting evaluations and benchmarks, configuring systems, delivering architecture presentations, responding to RFPs and RFIs, supporting interoperability testing, positioning solutions against competitors, and contributing to technical marketing. The role requires deep expertise in enterprise storage, distributed architectures, Linux, NFS, networking, cloud-native technologies, and customer-facing pre-sales engagements.

Design, build, and operate Supabase’s multi-region compute platform, including provisioning, orchestration, autoscaling, warm pools, resource optimization, observability, and reliability improvements. The role involves operating large Kubernetes clusters, improving infrastructure automation and architecture, responding to incidents, participating in on-call rotations, and resolving systemic platform issues. Strong Go and TypeScript skills, AWS experience, distributed systems knowledge, and cloud infrastructure expertise are required.

Develop, deploy, and maintain scalable AI/ML pipelines and production systems, including LLMs and generative AI models. Collaborate with data scientists, software engineers, architects, and clients to integrate AI capabilities into products. Optimize model performance, latency, and cost on AWS, GCP, and Azure, using Docker, Kubernetes, CI/CD, monitoring, versioning, and other MLOps practices.

Leads 24x7 NOC operations, major incident management, cloud infrastructure support, monitoring, and operational excellence. Oversees incident response, SLA and reliability targets, stakeholder communications, shift handoffs, runbooks, ITSM processes, root-cause analysis, and automation. Manages AWS and Azure environments, Linux and Windows systems, networking, Kubernetes, databases, and monitoring platforms. Mentors NOC engineers and drives continuous improvement across production support operations.

Own the full customer lifecycle from discovery and technical demonstrations through deal execution and customer success. Design OpenTelemetry instrumentation strategies, customize observability dashboards, address technical, security, finance, and legal evaluations, and support engineering teams. Feed customer insights into product improvements and help build scalable Sales and Customer Success processes. The role requires strong technical knowledge of cloud platforms, containers, Kubernetes, observability tools, and excellent written and verbal communication.

Develop and maintain Java Spring Boot microservices, REST APIs, and backend services for enterprise order management and supply chain applications. Design scalable, reliable, secure, and configurable product capabilities; troubleshoot production issues; write tested code; participate in reviews; and collaborate with product, QA, DevOps, and engineering teams. Use AI-assisted development tools responsibly for coding, debugging, testing, documentation, and productivity.

Leads compute-focused cloud engineering initiatives involving software engineering, cloud platforms, containerization, orchestration, infrastructure provisioning, monitoring, logging, and cloud security. Provides technical leadership, independently solves complex design problems, guides technical teams, and collaborates cross-functionally to implement scalable cloud solutions and DevSecOps practices.

Implements, maintains, upgrades, monitors, and troubleshoots server infrastructure across operating systems, storage, virtualization, email, Active Directory, and cloud environments. Develops standards, procedures, documentation, and disaster recovery practices; supports users through tickets and direct assistance; manages equipment procurement and installation subcontractors; participates in projects; and provides on-call and remote support.

Develop and maintain headless eCommerce storefronts using Next.js and Salesforce Commerce Cloud, integrate with SFCC APIs and third-party services, build responsive SEO-friendly web apps, collaborate with UX/backend/QA, and optimize storefront performance.

Owns highly available AWS and EKS platforms, CI/CD pipelines, infrastructure as code, observability, incident response, reliability engineering, and security operations. The role designs resilient cloud environments, manages Kubernetes and Docker workloads, automates delivery and operations, leads major-incident response, establishes SLOs, and coordinates vulnerability remediation. It also mentors engineers and improves production readiness, disaster recovery, and operational efficiency.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Own AWS infrastructure, CI/CD, infrastructure-as-code, observability, security, cost optimization, containerization, backup and disaster recovery. Lead incident response, create operational documentation, and mentor engineers on monitoring and operational practices. The role requires architectural decision-making, reliable deployments, cloud cost management, and collaboration with distributed engineering teams working across U.S. time zones.

Leads an integrated data, AI, analytics, and product engineering organization. Owns strategy, roadmaps, architecture, technical standards, production service levels, AI governance, client relationships, budgets, hiring, and organizational growth. Directs delivery of data platforms, dashboards, machine learning models, generative AI solutions, and full-stack applications while ensuring measurable business value, operational stability, responsible AI practices, and strong stakeholder governance.

Leads and scales the SDET team, defining test automation strategy across web, mobile, and API layers. Oversees automation frameworks, CI/CD integration, release readiness, quality gates, performance and security testing, and testing infrastructure for cloud-native microservices. Partners with engineering and release teams to improve quality and delivery speed while using GenAI tools to enhance test productivity. Mentors engineers, establishes quality standards, and drives continuous improvement.

Lead technical programs across engineering, security, product, legal, and enterprise teams. Drive cloud security initiatives, remediation SLAs, audit readiness, prioritization, launch readiness, deprecation, incident coordination, and Scrum ceremonies. Maintain program dashboards, status reporting, stakeholder communication, and execution frameworks. Apply cloud infrastructure and distributed-systems knowledge to assess risk, cost, performance, and readiness for products involving ML or LLMs.

Lead Procore’s enterprise data platform engineering team in Bengaluru. Own infrastructure, reliability, DevOps, governance, security, cost optimization, monitoring, and production support across Snowflake, Databricks, AWS, and related data tools. Build self-service platform capabilities, establish global support processes, drive the technical roadmap, and partner with business and engineering teams. Hire, develop, and retain a high-performing team while ensuring platform scalability, compliance, and usability for data and AI initiatives.

Own the product’s engineering end to end as the sole initial engineer. Build and operate the AI coaching system, including prompting, conversation state, retrieval, model evaluation, moderation, and crisis safety mechanisms. Develop the Python backend, React Native mobile apps, React website, subscriptions, infrastructure, CI/CD, monitoring, and releases. Translate technical decisions for a nontechnical founder and clinical team while maintaining strong privacy, security, product quality, and responsible AI practices.

Implement, configure, administer, and support enterprise IAM solutions using the Ping Identity platform. Manage federation, SSO, MFA, application and API access, directory integrations, identity lifecycle processes, RBAC, and authentication standards including SAML, OAuth, and OIDC. Troubleshoot complex identity issues, monitor IAM services, and collaborate with security, application, infrastructure, and DevOps teams to maintain secure and reliable environments.

Designs and executes enterprise performance tests, including load, stress, spike, and endurance testing. Analyzes application, server, and database behavior to identify bottlenecks and recommend tuning improvements. Collaborates with development, infrastructure, and DevOps teams to resolve issues, define SLA benchmarks, and integrate continuous performance validation into CI/CD pipelines. Uses observability tools, prepares performance reports, and supports testing of cloud, microservices, and AI-enabled workloads.

Build and test backend product features using Python and Django, collaborate with cross-functional teams, troubleshoot bugs and database performance issues, maintain code quality through reviews and unit tests, and help migrate modules into microservices. The role supports scalable fintech products serving tens of thousands of customers and involves user-focused product development, technical communication, and pragmatic engineering decisions.

Backend engineer responsible for planning, building, testing, and shipping fintech product features using Django and Python. The role includes debugging database performance issues, fixing bugs, maintaining code quality through reviews and unit tests, collaborating cross-functionally, supporting users, and migrating modules into independent microservices. The engineer will help build scalable systems serving tens of thousands of customers, with opportunities to contribute to AWS DevOps and accounting integrations.

Design, build, maintain, debug, and optimize high-volume business logic on mainframe systems. Refactor legacy code, extract business logic, and enable integrations with cloud and mobile applications. Develop scalable software using modern architectures, databases, APIs, containers, and messaging systems while troubleshooting complex system interactions and supporting mainframe modernization.

Assists with designing, developing, testing, deploying, and maintaining cloud-based software and AI services. Builds microservices and REST APIs, works with structured and unstructured data, supports ML/AI algorithms, automates integrations, and contributes to distributed systems, CI/CD, documentation, code reviews, and debugging. Collaborates with product teams and stakeholders in an agile environment while supporting software delivery across multiple cloud platforms.

Develops, tests, deploys, and maintains software in cloud-based, microservices environments. Builds REST APIs, integrates third-party systems, works with structured and unstructured telemetry data, and applies ML/AI algorithms. Supports distributed systems, automation, CI/CD, code reviews, debugging, refactoring, documentation, and software delivery across Agile teams and multiple stakeholders. The role also contributes to prototypes, deployments, automated testing, and collaboration with product teams.

Develop and test AI-enabled software services in a microservices environment. Build APIs, process structured and unstructured telemetry data, apply ML/AI algorithms, and support distributed systems, cloud deployments, automation, CI/CD, testing, documentation, code reviews, and refactoring. Collaborate with product teams and stakeholders across software delivery phases while working with AWS, GCP, Azure, containers, and SQL/NoSQL data stores.