Top AWS Jobs in Bangalore

Develop Mendix applications within Agile Scrum teams, translating user stories into quality solutions. Responsibilities include solution design, architecture recommendations, coding, testing, documentation, CI/CD, configuration management, customer technical support, demonstrations, and continuous learning. The role requires strong Mendix expertise, web and UI technologies, databases, programming fundamentals, cloud operations, containerization, and collaboration skills.

Design, lead, and mentor development of scalable, secure cloud-based SaaS solutions. Evaluate and integrate new technologies, review designs for compliance with standards, troubleshoot complex system issues, and provide technical leadership across projects. Communicate architecture and design decisions to stakeholders and drive improvements in reliability and time-to-market.

Lead architecture and implementation of high-scale, distributed cloud-native services using Go/Java. Drive best practices for coding, testing, observability, and CI/CD. Improve performance, reliability, and cross-team delivery while leveraging cloud platforms, databases, and streaming/data infrastructure to support a multi-tenant security platform.

As a Senior Software Engineer, you will build and maintain data infrastructure, develop ETL processes, and collaborate on data product design, ensuring data quality and participating in on-call rotation.

Responsible for designing and developing backend services for Zeta's CRM platform, focusing on scalability and performance while leading the engineering team.

The Director of Engineering leads the Prospects Audiences team, overseeing product development, innovation in data ingestion architecture, cost optimization, and team mentoring while ensuring reliable data quality and operational excellence.

Develop and maintain server-side applications for a distributed CRM platform. Collaborate with teams to enhance product features and ensure high-quality code through reviews and testing.

Serve as a senior technical leader and backend development engineer focused on system-level optimization, automation, performance profiling, and multi-cloud infrastructure. Develop software for Linux and FreeBSD systems, create VM images across AWS, Azure, and GCP, build Python or Shell automation, troubleshoot complex system issues, and design distributed systems deployed through Jenkins pipelines.

Leads the design and improvement of DevOps platforms, CI/CD pipelines, infrastructure automation, cloud environments, container orchestration, observability, security controls, and SRE practices. Partners with engineering teams to improve delivery speed, reliability, deployment quality, and developer self-service. Provides technical leadership, mentoring, governance, incident response, resilience engineering, and cloud cost optimization across production and non-production workloads.

Lead a portfolio of engineering teams to ensure delivery health, engineering excellence, people development, resource planning, and operational/financial governance across multiple customer engagements.

Leads quality engineering strategy for a cloud platform across multiple engineering teams. Establishes testing standards, automation frameworks, quality metrics, dashboards, environment promotion gates, and release-readiness governance. Coordinates complex releases, drives performance, reliability, and regression improvements, and partners with Engineering, Product, Security, and Operations. The role also influences quality transformation, mentors teams, and uses production incidents and observability data to improve practices.

Build and maintain distributed, real-time systems supporting Point72’s Global Macro business. Develop SRE foundations, define and monitor SLOs, optimize infrastructure, identify capacity and performance issues, review automation code, troubleshoot system problems, and lead technical design reviews. The role requires coding with Python and PowerShell, familiarity with C#, cloud infrastructure, infrastructure as code, configuration management, and container platforms.

Supports Db2 LUW databases for multiple clients, including environment design, installations, upgrades, patching, migrations, troubleshooting, security, backup and recovery, performance tuning, and high-availability management. The role collaborates with clients and global DBA teams, supports projects and 24x7 incidents, develops automation and documentation, resolves complex issues, and mentors junior administrators. Rotating shifts and on-call participation are required.

Leads the engineering function by owning technical strategy, architecture, roadmap, team development, scalable system delivery, cloud-native infrastructure, reliability, security, incident response, and engineering standards. Partners with Product and leadership to convert business needs into technical solutions while managing key initiatives and evaluating new technologies. The role requires substantial software engineering experience, technical leadership, team management, distributed systems expertise, and experience with AI/ML-driven platforms.

Designs and develops full-stack web applications, RESTful APIs, and microservices using C#, .NET, React, and cloud platforms. Responsibilities include database design, automated testing, deployment, observability, security practices, scalability, and performance optimization. The role also involves mentoring engineers, leading technical initiatives, collaborating cross-functionally, and integrating AI/ML capabilities into products.

Lead the design, development, and delivery of scalable cloud-native web applications and microservices. Build APIs and services, diagnose performance and stability issues, lead design and code reviews, coordinate with cross-functional technical teams, introduce new technologies, and mentor engineers. The role also requires full-stack expertise, cloud and CI/CD experience, legacy platform transition support, and hands-on development of GenAI applications using LLMs, RAG, and agent-based architectures.

Build and own high-throughput Java backend services for mortgage document processing. Design asynchronous pipelines, LLM integrations, resilience and failover logic, and production observability. Optimize accuracy, latency, and cost while debugging production issues. Review code, write design documents, decompose features, and mentor junior engineers. The role requires strong concurrent Java architecture, Spring Boot microservices, NoSQL and relational databases, containerization, Kubernetes, and cloud experience.

Leads the design, automation, security, and operation of Novo’s AWS cloud infrastructure. Builds Terraform-based infrastructure, CI/CD pipelines, Kubernetes platforms, observability systems, secure networking, and self-service tooling. Partners across engineering, product, and security teams, drives technical direction, supports hiring, and applies AI-assisted automation to incident response, infrastructure delivery, and operational efficiency.

Design, build, and maintain a large-scale observability and distributed tracing platform using Sentry/OpenTelemetry/Jaeger. Implement end-to-end tracing across microservices, develop Kubernetes operators, apply TDD/CI-CD/chaos practices, participate in on-call rotations, and review peer designs to improve reliability and scalability.

Develop and release cloud applications for production environments across public and private cloud platforms. Design scalable distributed systems using cloud databases, containers, streaming platforms, distributed caching, and monitoring tools. Collaborate with product marketing, project managers, and development partners to translate requirements into technical solutions. Apply software engineering, distributed computing, algorithms, and cloud architecture principles while supporting deployment, operations, monitoring, and maintenance.

Lead Site Reliability Engineer responsible for improving service reliability, uptime, observability, scalability, and incident response. The role manages SLOs, SLIs, error budgets, automated runbooks, postmortems, capacity planning, performance testing, infrastructure automation, Kubernetes and AWS environments, CI/CD, chaos engineering, and advanced alerting. The engineer also writes production code, supports resilient distributed systems, participates in on-call rotations, and collaborates with development and operations teams.

Build and lead scalable, production-grade data platforms, pipelines, workflows, and analytics infrastructure for private markets data products. Translate business needs into technical architectures, own solutions through deployment and support, enable AI/ML production use cases, and establish standards for testing, governance, observability, security, and cloud-native development. Partner with engineering, data science, product, and senior stakeholders to deliver reliable, high-impact solutions.

Develops secure, scalable Java full-stack applications using Spring Boot, ReactJS, and AWS. Uses authorized AI coding tools and prompt engineering to improve development, testing, documentation, and productivity while validating outputs for security and quality. Contributes to architecture, analyzes data for application improvements, troubleshoots software components, and participates in agile engineering practices, CI/CD, resiliency, security, and technical communities.

Build and operate Cognite’s serverless execution engine and workflow orchestration platform. Responsibilities include designing distributed, multi-tenant systems; owning reliability, scalability, APIs, observability, CI/CD, testing, and performance; and supporting ML workloads, workflow orchestration, data storage, and event-driven architectures across multiple clouds. The role also involves optimizing costs and enabling industrial AI and contextualization pipelines.

Own the reliability, scalability, automation, and operations of PostgreSQL, Elasticsearch, and Kafka infrastructure across multi-cloud Kubernetes environments. Responsibilities include fleet orchestration, provisioning, upgrades, backups, monitoring, disaster recovery, capacity planning, performance tuning, incident response, and infrastructure automation. The role partners with engineering and platform teams to reduce operational toil and deliver resilient, self-service database infrastructure.