Top AWS Jobs in Bangalore

The DevOps Engineer will automate testing, develop new scripts and tools, analyze test results, and support the automation framework while collaborating with cross-functional teams in an Agile environment.

The Site Reliability Engineer will design automated workflows, maintain observability solutions using Datadog, enhance CI/CD pipelines, and ensure system reliability across production environments.

Architect, develop, and maintain Java-based services with frontend frameworks, lead modernization efforts, and ensure high availability of critical enterprise solutions.

Lead Engineering IT for the India region, ensuring high-performance infrastructure for semiconductor design, contributing to global strategies, and managing a high-performing team.

Lead the Platform Engineering team, focusing on infrastructure, DevOps, and testing. Oversee design, development, operational excellence, and quality assurance for cloud infrastructure and automation tools while managing a team of engineers.

Responsible for leading data engineering projects using AWS technologies and tools to manage and process data effectively.

The Architect - Platform Engineer guides technology evaluations, designs architecture, leads teams, manages client expectations, and implements DevSecOps pipelines across cloud environments, focusing on best practices and compliance.

Lead software development in the Skywise Software Factory team, focusing on data transformation and API development, while ensuring quality delivery and agile practices.

As a DevOps Engineer at Zuora, you will design and maintain cloud infrastructure, manage CI/CD pipelines, and ensure system reliability and security.

The Senior Python Developer will build scalable services, design server architecture, mentor junior engineers, and enhance automation processes.

The Principal AWS Cloud Engineer designs and optimizes secure AWS cloud solutions, ensures compliance, leads architecture initiatives, and mentors engineering teams.

As a Senior Software Developer, you will lead technical design sessions, develop and test software, drive continuous improvement, and engage in client interactions while managing risks.

Design and develop account application, collaborate with Product and Engineering teams, resolve bugs, and lead the team with technical expertise.

Design, develop, test, and maintain scalable batch and streaming data pipelines and distributed systems using Java/Scala and big-data technologies. Optimize large-scale data processing, participate in HLD/LLD design, implement TDD and CI/CD practices, troubleshoot production issues, and collaborate with cross-functional teams to ensure reliability, scalability, and security of cloud-native data platforms (AWS EMR/EKS, Kubernetes).

Design, implement, and maintain Java-based microservices for an application virtualization product. Build and deploy containerized services on AWS, design REST APIs, write maintainable high-performance code, create automated unit/integration tests within CI/CD, participate in architecture and code reviews, and collaborate with product and architects to deliver scalable distributed systems.

Lead and own test automation strategy for Voice AI and Monitoring & Analytics platforms. Architect test frameworks, define test pyramid, design CI/CD test pipelines, manage test data and flakiness, implement performance testing (load, stress, soak, spike), set SLOs and regression gates, instrument test runs, and mentor engineers to embed quality upstream.

Lead SRE work for Emerging Products: design, build, and operate large-scale cloud services, automate toil, run on-call and incident response, define SLIs/SLOs, improve observability, mentor engineers, and drive platform and reliability initiatives.

As a Senior Software Engineer, you will lead the design and implementation of backend systems, manage a team, and ensure software performance and scalability in AI-driven applications.

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.

The Lead Software Engineer will design scalable architectures, lead software development teams, and ensure best practices in cloud-native systems using Java and AWS.

As a Principal Engineer for Data Infrastructure, you'll oversee our databases and data warehousing, optimize performance, and lead technology integrations to enhance data processing capabilities.

Design and implement integrations on the Arcesium platform, engage clients to deliver strategic technical solutions, coordinate cross-functional teams, manage risks and R&D roadmaps, and mentor peers in project management practices.

Lead cloud engineering and DevOps efforts: analyze client requirements, design and automate cloud infrastructure, implement IaC and CI/CD, improve monitoring and security, document deliverables, mentor junior engineers, and support stakeholder communications.

The Expert Software Engineer will design and build scalable data platforms and APIs, focusing on distributed processing with Apache Spark and backend engineering using Java. Responsibilities include data pipeline creation, performance optimization, and collaboration with stakeholders to deliver reliable data solutions.

Design, provision, and maintain secure, scalable AWS infrastructure (EKS/ECS); build and optimize CI/CD pipelines (GitLab CI, Azure DevOps); implement IaC with Terraform and Ansible; write automation and tooling in Python/Java/Golang; monitor and improve platform reliability; collaborate with .NET development teams to streamline cloud deployments.