Top AWS Jobs in Chennai

Leads delivery of enterprise conversational AI platforms, including chatbots and voice bots. Oversees Agile execution, technical architecture, cloud-native engineering, CI/CD, Terraform, Responsible AI, and AI adoption. Partners with product, security, architecture, and business teams while managing risks and executive communication. Mentors engineers and technical leads, supports hiring and performance management, and ensures scalable, secure, compliant, and operationally excellent solutions.

Design, develop, configure, and maintain IBM Sterling OMS solutions, including Order Hub and Next Gen Call Center. Build Java customizations, APIs, services, microservices, integrations, and order orchestration workflows. Optimize databases and troubleshoot production issues while applying testing, security, cloud-native, and coding best practices. Mentor engineers and collaborate with product, architecture, QA, and engineering teams to deliver reliable order management capabilities.

Principal Software Engineer leading architecture and hands-on delivery of secure, scalable cloud, data, and AI solutions. Responsibilities include designing AI-powered products, distributed systems, data pipelines, and enterprise platforms; guiding MLOps and LLMOps; driving DevOps, observability, security, and governance; resolving complex technical challenges; and mentoring engineers and technical leaders across multiple teams.

Lead end-to-end delivery of enterprise conversational AI platforms, including chatbots, voice bots, and virtual assistants. Design scalable cloud-native solutions using Amazon Lex, Dialogflow, CI/CD, Terraform, and responsible AI practices. Drive Agile execution, stakeholder alignment, operational excellence, and AI adoption while mentoring engineers and technical leads. Partner with product, architecture, security, and business teams to deliver secure, compliant, and innovative AI solutions.

Leads engineering delivery for enterprise conversational AI platforms, including chatbots and voice bots. Oversees Agile execution, technical architecture, cloud-native development, CI/CD, Terraform, DevSecOps, Responsible AI, and AI adoption. Partners with product, security, architecture, and business stakeholders while managing risks and dependencies. Mentors engineers and technical leads, supports hiring and performance management, and ensures scalable, secure, compliant, and operationally excellent solutions.

Leads DevOps implementation by building and maintaining Kubernetes infrastructure, Terraform-based environments, CI/CD pipelines, and cloud platforms across GCP and AWS. Executes production deployments and cluster upgrades, manages IAM, service accounts, SSL certificates, and CloudFront, and troubleshoots infrastructure and networking issues. Tracks operational metrics, improves reliability and security, and collaborates with development teams to optimize software delivery. Requires availability for nights, weekends, and variable schedules.

Build scalable Python backend services, APIs, cloud-native applications, and AI-powered solutions. Develop LLM, RAG, agentic, and multi-agent systems; deploy workloads with Docker and Kubernetes; maintain CI/CD pipelines; and operate applications across major cloud platforms. Collaborate cross-functionally to deliver secure, tested, observable, and production-ready software while optimizing performance, scalability, latency, and cost.

Design, build, and operate backend software platforms for cloud security workflows. Develop Python services, APIs, data ingestion pipelines, workflow automation, and distributed processing systems. Manage AWS infrastructure, Docker-based deployments, CI/CD pipelines, observability, testing, and production support. Translate ambiguous requirements into durable technical designs, collaborate across engineering and security teams, and own technical areas end to end.

Leads end-to-end delivery of enterprise-scale full-stack application development projects from initiation through production support. Defines scope, schedules, budgets, milestones, resources, and roadmaps; coordinates engineering, architecture, QA, DevOps, security, infrastructure, and product teams; manages risks, dependencies, governance, and stakeholder communication. Ensures scalable, secure, high-quality cloud-native applications using modern full-stack technologies, microservices, observability, and DevSecOps practices. Mentors teams and drives Agile delivery, continuous improvement, and operational reliability.

Lead product security initiatives across the software development lifecycle. Conduct threat modeling and security assessments, review cloud application designs, build security automation and detection controls, support cloud incident response, and guide engineering teams on secure development. The role also requires identifying AI/LLM risks, collaborating with technical and non-technical stakeholders, improving security processes, and mentoring security practitioners.

Build and scale production-grade agentic AI infrastructure and platform capabilities. Lead architecture, technical design, reliability, scalability, data privacy, and end-to-end delivery. Collaborate with product and innovation teams to define customer solutions, mentor engineers, improve developer experience, and resolve complex technical issues. The role requires backend engineering, cloud infrastructure, APIs, databases, automated testing, infrastructure as code, and CI/CD expertise.

Build and operate scalable backend services for video playback across web, mobile, connected TV, and streaming platforms. Develop APIs, metadata, playback, entitlement, authorization, session, DRM, and content protection services. Ensure high availability, reliability, security, and feature consistency across platforms. Collaborate with cross-functional teams, troubleshoot complex issues, support releases, work with QA, mentor junior engineers, document systems, analyze performance metrics, and train operational staff.

Develop and operate Kotlin-based backend services that transform video and metadata into streaming-platform ingest workflows. Build event-driven integrations using Kafka, manage distributed-system consistency, retries, reconciliation, and status tracking, and automate operational tasks. Own production services on AWS and Kubernetes, including monitoring, troubleshooting, deployments, security, testing, and incident response. Collaborate with product, content operations, platform, and engineering teams while contributing through code reviews, pair programming, and documentation.

Own the strategy, roadmap, service model, and investment priorities for an enterprise AI runtime and agentic platform. Productize GPU compute, Kubernetes, model serving, inference, agent orchestration, lifecycle management, APIs, observability, and developer self-service across private, public, and hybrid clouds. Partner with engineering, cloud, security, governance, architecture, and compliance leaders to improve platform reliability, utilization, adoption, cost efficiency, and developer experience. Influence senior stakeholders and translate complex infrastructure capabilities into consumable enterprise services.

Lead backend architecture and technical strategy for scalable enterprise SaaS solutions. Design financial systems using Java, Kotlin, DynamoDB, Pulsar, GraphQL, and big data tools. Establish engineering standards, mentor teams, guide roadmaps, and collaborate with product, engineering, UX, QA, and implementation teams. The role requires deep distributed-systems expertise, cross-functional influence, customer focus, and responsible use of AI-powered development tools.

Build and review production backend code for Toast’s catalog and inventory platform. Lead complex, cross-team technical initiatives, design scalable distributed and event-driven systems, and partner with Product and UX. Own technical solutions across domains, improve customer experience, mentor engineers, support production systems, and drive collaboration and alignment. The role uses Java, Kotlin, DynamoDB, Pulsar, GraphQL, AWS, and other modern technologies while incorporating AI engineering tools.

Design and build data services and pipelines supporting machine learning products. Develop automation tools for model deployment, maintain production data systems, improve infrastructure, participate in code reviews, and collaborate across engineering, data science, and product teams. The role requires expertise in distributed systems, large-scale data processing, CI/CD, container orchestration, and AI-enabled workflow improvements.

Lead the architecture, automation, operation, and scaling of database platforms across AWS and on-premises environments. Build infrastructure-as-code, self-service tooling, schema migration workflows, compliance controls, and reference implementations. Establish technical standards, mentor engineers, collaborate across software, data, and SRE teams, support audits, and participate in a 24/7 on-call rotation.

Build and deploy AI-powered customer solutions across discovery, prototyping, and production. Responsibilities include designing secure multi-tenant and hybrid architectures, integrating identity and access management, encryption, networking, data engineering, CI/CD, observability, and production support. The role partners directly with enterprise customers, executive sponsors, and cross-functional teams to solve ambiguous problems, demonstrate prototypes, and standardize successful solutions. Regular domestic and occasional international travel is required.

Provide L1-L3 production support for enterprise MongoDB Atlas environments, including monitoring, scaling, backups, upgrades, performance tuning, security, networking, disaster recovery, and incident resolution. Build Terraform-based infrastructure automation, support multi-cloud deployments across Azure, AWS, and GCP, partner with application and engineering teams, coordinate vendor escalations, and participate in 24/7 on-call coverage.

Designs and reviews security architecture, performs threat modeling and cloud assessments, responds to incidents, manages security tools, and advises engineering teams on secure development. Conducts code and vulnerability reviews using OWASP and MITRE ATLAS, evaluates AI and LLM security risks, and supports security monitoring, risk assessment, data protection, and compliance across applications, infrastructure, and endpoints.

Build and maintain backend services, APIs, databases, and cloud-based systems using Python, JavaScript or TypeScript, SQL, and AWS. Collaborate with engineers and product managers, design web application architectures, develop responsive applications, test performance, troubleshoot issues, implement security measures, and own features through delivery. Preferred experience includes event-driven architectures, Docker, infrastructure as code, observability, microservices, CI/CD, and asynchronous processing.

Develop and maintain software throughout the SDLC, including design, coding, testing, debugging, documentation, and deployment. Collaborate with development teams and stakeholders in Scrum/Agile ceremonies, diagnose production and test issues, improve development practices, and provide guidance to entry-level engineers. The role emphasizes object-oriented programming, software design, database and operating system integration, cloud-based SaaS engineering, and continuous technical growth.

Develop and deploy scalable backend services for web applications. Responsibilities include RESTful API development and testing, database integration, asynchronous task queuing, containerization, and collaboration with the development team. The role uses Python frameworks such as FastAPI, Flask, or Django, relational databases, Docker, and potentially Kubernetes and cloud platforms.

Lead the design and development of scalable web applications using Java, Python, React, HTML, CSS, and TypeScript. Architect backend solutions, integrate cloud services, optimize deployment pipelines, mentor junior developers, conduct code reviews, and ensure application performance, security, and scalability. Preferred experience includes microservices, container orchestration, CI/CD, observability tools, OAuth2, and cloud fault-tolerance patterns.