Top AWS Jobs in Bangalore

Lead quality engineering for customer-facing financial web applications and services. Develop test strategies, plans, and cases; build and maintain UI and API automation; integrate tests into CI/CD pipelines; execute functional, integration, regression, and UAT testing; troubleshoot defects and pipeline failures; assess root causes and quality risks; and mentor peers while improving automation standards and practices.

Administers and evolves monitoring, observability, and systems-management platforms supporting production payment environments. Builds dashboards, alerts, integrations, and telemetry pipelines using Grafana Cloud, Zabbix, Prometheus, Loki, and OpenTelemetry. Investigates monitoring gaps, supports production incidents, develops automation, integrates incident-management tooling, and improves platform reliability, security, and cost efficiency. Collaborates with engineering, infrastructure, operations teams, vendors, and internal stakeholders while applying approved AI tools responsibly.

Leads a 10–15-person software engineering team delivering secure, reliable payment software. Responsibilities include hiring, coaching, performance management, delivery planning, architecture and code-review participation, reliability and incident ownership, engineering metrics, AI-assisted development adoption, and cross-team collaboration. The role requires technical credibility across Java/Spring, cloud-native systems, Kubernetes, microservices, APIs, CI/CD, and major cloud platforms, along with strong communication and people leadership.

Build and maintain automated testing frameworks, CI/CD integrations, and tools for API, performance, load, fuzz, and functional testing. Develop evaluation frameworks and pipelines for GenAI and AI/ML applications, including LLM accuracy, latency, bias, toxicity, hallucination detection, and reliability testing. Review test strategies, collaborate with development teams, and work across distributed systems, microservices, cloud platforms, and cybersecurity technologies.

Architect, build, and operate SambaNova’s internal developer platform and production Kubernetes infrastructure across AWS, GCP, Azure, and on-premises environments. Responsibilities include Terraform-based provisioning, highly available Kubernetes clusters, hybrid networking, security, observability, capacity planning, incident response, and internal tooling. The role partners with AI and software engineering teams to establish production workflows and participates in on-call support.

Leads the design, development, deployment, and optimization of Salesforce Commerce Cloud solutions. Architects SFRA and Einstein for Commerce capabilities, configures Salesforce Order Management, integrates third-party systems and APIs, and improves platform performance. Collaborates with business and technical teams, mentors developers, conducts code reviews, resolves complex issues, and promotes engineering best practices. Monitors Salesforce releases and recommends enhancements for scalable, personalized eCommerce experiences.

Leads the Systems and Verification & Validation organization for healthcare digital products across on-premises, cloud, and hybrid environments. Owns system integration, requirements traceability, verification strategy, test automation, defect management, risk-based testing, and release readiness. Builds and develops engineering teams, establishes quality metrics, and partners with Software Engineering, Architecture, Product, Clinical, Quality, Regulatory, and Cybersecurity teams. Requires extensive software-intensive product, systems engineering, V&V, automation, cloud, and people leadership experience.

Design, develop, test, document, and deploy scalable software components. Build cloud-based solutions, microservices, containerized applications, CI/CD pipelines, and integrations using relational and NoSQL databases, REST services, messaging queues, and modern development practices. Provide work estimates, guide technical features, troubleshoot complex problems, and collaborate with stakeholders to deliver high-quality software.

Designs and maintains scalable cloud infrastructure for cloud-native applications. Develops CI/CD pipelines, infrastructure-as-code, observability, monitoring, and automation solutions. Leads incident response, troubleshooting, root-cause analysis, and post-mortems while improving reliability, performance, security, and availability. Collaborates with development teams on secure, scalable application practices and supports compliance audits.

Designs and maintains scalable cloud infrastructure across GCP, AWS, and Azure; develops CI/CD pipelines; manages infrastructure as code, containers, monitoring, logging, and alerting. Leads incident response, root cause analysis, postmortems, security compliance, and operational automation. Collaborates with development teams on reliability and scalability, troubleshoots production systems, and mentors junior engineers.

Design, build, and maintain scalable cloud infrastructure and CI/CD pipelines. Monitor and optimize reliability, performance, and availability; lead incident response and root cause analysis; implement infrastructure as code and observability solutions; automate operational tasks; collaborate with development teams on secure, reliable applications; and support security compliance and audits.

Lead enterprise application architecture and transformation for data-driven consulting platforms. Design scalable distributed systems, REST APIs, microservices, cloud-native AWS solutions, serverless architectures, and containerized platforms. Evaluate technologies, establish development and data governance standards, mentor engineering teams, oversee technical decisions, and collaborate with business and enterprise technology stakeholders. The role requires hands-on technical leadership, AI/LLM familiarity, BI and data platform knowledge, DevOps practices, second-shift availability, occasional weekend work, and Bangalore office attendance at least three days weekly.

Designs, develops, and maintains critical applications and enterprise integrations. Builds cloud-native solutions using modern programming languages, cloud platforms, databases, APIs, microservices, and DevOps practices. Collaborates with cross-functional teams, supports agile delivery, guides team members, documents technical solutions, participates in on-call support, and applies software security best practices.

Leads systems analysis for alternative-investment accounting and operational technology platforms. Partners with stakeholders, operations, product owners, vendors, and engineering teams to gather requirements, analyze workflows, define specifications, investigate data and reconciliation issues, support integrations, and deliver scalable solutions. The role requires expertise in SS&C Geneva and Geneva World Investor, alternative-investment operations, SQL, relational data, Agile delivery, testing, and stakeholder management.

Design and implement scalable backend services and APIs for Zscaler’s multitenant cloud security platform. Maintain code quality through testing, monitoring, debugging, and performance optimization. Mentor engineers, participate in code reviews and Agile processes, collaborate cross-functionally, and support a highly available platform through on-call rotation and federal compliance requirements.

Develop and deploy Java and Spring Boot backend services, cloud solutions, IoT applications, and containerized microservices using AWS, Kubernetes, ECS, and Lambda. Implement infrastructure as code, CI/CD automation, testing, monitoring, troubleshooting, security, and compliance practices. Collaborate on system design, code reviews, documentation, optimization, and cross-functional delivery while mentoring teammates and improving cloud-based healthcare technology solutions.

Leads the design, implementation, management, and troubleshooting of AWS cloud environments for customer onboarding and production operations. Responsibilities include administering ECS and EKS clusters, Kubernetes, networking, security, IAM, disaster recovery, monitoring, cost optimization, and infrastructure automation with Terraform and CloudFormation. The role also develops automation using Python and Lambda, manages cloud connectivity and certificates, supports stakeholder engagement, and drives DevOps and cloud operations initiatives.

Design, build, and maintain high-volume mainframe business logic while optimizing performance and troubleshooting complex systems. Refactor legacy code to support cloud and mobile integrations, extract business logic for modernization, and work with databases, APIs, microservices, containers, messaging systems, and DevOps practices.

Design, build, maintain, debug, and optimize high-volume mainframe business logic. Refactor legacy code to support cloud and mobile integrations, extract business logic for modernization, and develop scalable, robust software using modern architectures, databases, web services, containers, and messaging systems.

Designs, builds, maintains, and optimizes high-volume mainframe business logic. Responsibilities include debugging complex system interactions, improving performance, extracting legacy business logic for cloud migration, and integrating mainframe data with modern cloud and mobile applications. The role requires software development expertise, database knowledge, REST services, microservices, containers, messaging, object-oriented design, and modern DevOps practices.

Designs, provisions, migrates, and supports large-scale HPC cloud infrastructure across AWS, Azure, and GSP. Responsibilities include operating Linux environments, building infrastructure programmatically, developing monitoring and alerting, troubleshooting incidents, conducting root-cause analysis, supporting security compliance, and collaborating with stakeholders and vendors. The role also requires Kubernetes, Infrastructure as Code, scripting, observability, Agile, and DevOps expertise.

Designs, deploys, and maintains AWS infrastructure supporting SAP workloads. Responsibilities include SAP landscape support, Python and Bash automation, Terraform-based infrastructure provisioning, Linux and Windows administration, Pacemaker high-availability clustering, database support, monitoring, incident resolution, security compliance, and root-cause analysis. The role also explores AI-enabled infrastructure operations using LLMs, MCP servers, RAG, and prompt engineering.

Design, implement, and manage AWS-based CI/CD pipelines and automation. Provision infrastructure via IaC (Terraform/ARM), manage Git workflows, build agents, and release pipelines. Integrate automated testing, implement monitoring, logging and tracing, and collaborate on security assessments for cloud resources. Maintain Docker/Kubernetes platform components and optimize deployment processes.

Develop full-stack applications and AI-enabled platform services using Java, Python, React, Spring Boot, APIs, microservices, and data pipelines. Design distributed and event-driven systems, integrate generative AI and multi-agent architectures, and implement AWS cloud solutions. Build secure, tested applications with REST, GraphQL, authentication, and optimized databases. Own CI/CD, infrastructure as code, DevOps automation, observability, monitoring, and SDLC tooling across end-to-end delivery.

Develop and maintain Windows endpoint software and internal security tools. Integrate software components, debug complex systems, solve diverse technical problems independently, document functionality, and mentor junior developers. The role requires collaboration across global teams and familiarity with technologies such as .NET, C++, Go, AWS, Git, Docker, Kubernetes, Rust, and Windows kernel-mode development.