Top AWS Jobs in Chennai

Lead iOS development: design, build, test, and maintain scalable iOS apps using Swift, SwiftUI, and UIKit. Own architecture, CI/CD, releases, performance monitoring, mentor developers, run code/architecture reviews, collaborate with cross-functional teams, and drive mobile engineering standards.

Lead architecture, modernization, optimization, security, and cloud-integration of the IBM Z16/z/OS platform. Design and implement scalable, highly available z/OS infrastructure; manage OS/middleware upgrades; perform performance tuning, capacity planning, RMF/SMF analysis, and root-cause investigations; enable APIs and DevOps workflows (z/OS Connect, Git/CI-CD); drive automation, hybrid-cloud migrations (GCP/AWS), and mentor systems programmers while producing architecture and operational documentation.

Pre-sales Solutions Engineer supporting SonicWall sales and channel partners: perform technical discovery, deliver demos and presentations, run PoCs/trials, maintain demo labs, build partner relationships, participate in beta testing, and act as regional subject-matter expert across multiple SonicWall product areas. Expect up to 30% travel.

Lead technical onboarding for enterprise customers: provision secure AuraDB or self-managed Neo4j clusters, design network and IAM architectures, implement system hardening and IaC, architect data ingestion and observability, deliver technical artifacts and workshops, and iterate onboarding methodology to accelerate time-to-value.

The Senior Technical Consultant will implement and integrate Blue Yonder WMS solutions, develop technical concepts, ensure system integration, and enhance platform functionality based on customer feedback.

The Senior Site Reliability Engineer at Tyk will optimize and maintain cloud platforms, enhance automation, and ensure high reliability across systems while collaborating cross-functionally and driving continuous improvements.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

The Senior Machine Learning Engineer will design, train, and deploy ML models for optimizing revenue in advertising, taking ownership of product development and leading the ML discipline.

The role involves leading the design and implementation of smart factory architectures, integrating OT and cloud services while ensuring cybersecurity and data flow validation across multiple sites.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

The Senior SW Engineer will design cloud-based build tools, provide leadership, mentor juniors, optimize performance, and interface with stakeholders.

The Staff Software Engineer I - SRE role involves proactive reliability engineering, incident management, and cross-team leadership to enhance data stream reliability for Confluent Cloud.

Prioritize and quantify enterprise cyber risk by correlating threat intelligence, vulnerabilities, attack paths, and business impact. Model exploitable attack scenarios across identity, cloud, network, and endpoints. Partner with red/blue teams to assess likelihood and impact, support risk scoring and reporting, track remediation and residual risk, and communicate risk posture to security leadership, GRC, and engineering to influence security investments.

The DevOps Engineer will enhance software development processes, automate deployments, manage AWS infrastructure, and ensure system reliability.

As a Frontend Developer, you will develop and maintain web applications, design user-friendly interfaces, collaborate on requirements, and participate in Agile processes while ensuring code quality and performance.

The Data Architect will design and manage secure data platforms using Snowflake in healthcare, focusing on compliance, data models, and analytics.

As a Full Stack Developer, you will design and develop web applications using both front and back-end technologies, collaborating with teams to deliver high-quality solutions.

Lead AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.

Lead Tableau architecture and administration for Server/Cloud: install, configure, upgrade, monitor health, backups, and migrations. Manage users, permissions, RLS, SSO, and governance. Optimize data sources, extract refresh schedules, and dashboard performance. Provide support and training, collaborate with data engineers to integrate Snowflake, Redshift, and SQL Server. Use TSM, Tabcmd, Tableau REST API and strong SQL; apply data warehousing, ETL, and database management knowledge.

The Java Full Stack QC Specialist evaluates and mentors learners in full-stack development, conducts assessments, and collaborates to enhance training outcomes.

The Lead Performance Test Engineer ensures applications meet quality standards through automated performance testing, collaborates with developers on defect resolution, and mentors team members, while working with a variety of testing tools and environments.

Lead systems engineering for middleware and platform reliability: containerize and deploy applications with OpenShift/Kubernetes, manage CI/CD pipelines (Ansible, Jenkins, GitLab), implement IaC (Terraform, Chef), support middleware onboarding and SSL lifecycle, apply security patches, monitor performance, and collaborate across teams to troubleshoot and optimize systems.

The Senior AI Engineer will develop and maintain AI pipelines, deploy models, troubleshoot issues, and manage AI solutions using advanced AI/ML techniques.

Build and optimize core backend systems enabling user features, real-time data synchronization (event-driven/CDC), advanced caching and connection pooling, and improved observability. Drive architectural and infrastructure upgrades, own deployment and scaling strategies, contribute to open-source, and raise backend engineering standards across the platform.

Design, implement, and lead large-scale generative AI and ML systems (LLM fine-tuning, RAG, agents, Graph ML). Build REST APIs, deploy with Docker/Kubernetes, optimize big-data workflows, mentor engineers, and operate ML services on cloud platforms.