Top AWS Jobs in Bangalore

Leads quality engineering for major product areas and cross-team initiatives. Defines comprehensive test strategies, develops and maintains automated tests, performs complex debugging and root cause analysis, and supports incident prevention. Partners with developers and architects to improve testability, CI/CD releases, and collective quality ownership. Mentors quality engineers, contributes to hiring, manages testing risks, and drives coverage across unit, functional, integration, performance, security, exploratory, and acceptance testing.

Leads backend software engineering across the full SDLC, architecting scalable Java systems, REST APIs, and microservices. Provides technical guidance, advises management, mentors engineers, and drives best practices for distributed, cloud-native applications. The role requires strong analytical ability, performance optimization experience, and expertise with Java EE, Spring MVC or Hibernate, Docker, Kubernetes, and cloud platforms.

Manage AWS EKS/Kubernetes infrastructure, cloud services, CI/CD pipelines, microservice deployments, databases, Kafka, Elasticsearch, monitoring, security, scaling, production support, rollbacks, and incident resolution. The role requires hands-on expertise with AWS, Azure DevOps, C#/.NET, FastAPI, PostgreSQL, MSSQL, Docker, Helm, IAM/RBAC, TLS/mTLS, WAF, CloudWatch, Prometheus, and Grafana.

Develop, test, deploy, troubleshoot, and optimize Logstash pipelines and Grok parsers for high-volume security and infrastructure logs. Normalize events to ECS or SIEM schemas, resolve parsing and ingestion issues, diagnose Elasticsearch mapping errors, and ensure reliable, lossless pipeline performance. Conduct regression testing, root-cause analysis, production stabilization, documentation, and L2 support while mentoring junior engineers and coordinating with SOC, integration, product, and engineering teams.

Leads frontline support for the Databricks Data Intelligence platform, resolving complex customer issues, managing incidents, performing root-cause analysis, monitoring performance, overseeing upgrades, and driving platform improvements. Collaborates with engineering, product, DevOps, and customers; creates documentation and training materials; analyzes feedback; and develops preventive measures to improve reliability and customer satisfaction.

Lead the architecture and design of scalable integration and system integrator platforms. Define architectural standards, evaluate technologies, guide engineering teams, and oversee internal and third-party integrations. Ensure reliability, scalability, security, performance, and data integrity while addressing system risks and bottlenecks. Mentor engineers, conduct architecture reviews, document best practices, and collaborate with product, operations, and development teams on platform strategy and implementation.

Leads development of complex, scalable software features and services across Tekion’s cloud-native automotive platforms. Responsibilities include architectural collaboration, end-to-end feature delivery, performance optimization, production troubleshooting, code reviews, engineering standards, mentoring junior engineers, and promoting best practices. The role requires expertise in Java, distributed systems, microservices, containerization, cloud platforms, and effective use of AI tools for design documentation and coding.

Leads the design, development, and deployment of scalable, high-performance software systems and services. Drives complex feature delivery, contributes to architecture and technical strategy, resolves production and development bottlenecks, and promotes engineering standards through code reviews and best practices. Mentors junior engineers, improves team effectiveness, and applies distributed systems, cloud-native, microservices, containerization, cloud platforms, and AI-assisted development tools.

Leads and develops a team of 10+ engineers while overseeing architecture, delivery, deployment, performance, and engineering quality for scalable platform components. Partners with Product, Design, QA, and executive stakeholders, mentors engineers, recruits senior talent, resolves technical risks, and coordinates distributed US-India teams. Requires strong Java and Spring Boot expertise, distributed microservices and event-driven architecture experience on AWS, and hands-on technical leadership in SaaS environments.

Build and own automated quality engineering for Tekion’s AI Platform, including APIs, SDKs, data and feature pipelines, model serving, deployment, LLM gateways, and vector stores. Design regression, performance, scalability, reconciliation, and reliability testing; validate ML data flows and platform SLOs; develop evaluation frameworks; use LLMs to accelerate test creation; and lead root-cause analysis and preventive improvements across platform and infrastructure teams.

Manages a software engineering team delivering scalable platform features and services. Oversees project execution, roadmap alignment, technical requirements, engineering standards, and cross-functional collaboration. Develops team members through mentoring and performance feedback while driving process improvements, code quality, system scalability, and continuous innovation.

Designs and builds scalable backend solutions for complex enterprise workflows. Owns subsystems end to end, including architecture, coding, testing, deployment, optimization, and enhancements. Diagnoses performance issues, delivers high-quality software, collaborates with product, QA, UI/UX, and management teams, and mentors junior engineers. The role focuses on large-scale cloud applications, microservices, databases, and enterprise systems in a fast-paced environment.

Leads the design, development, deployment, and optimization of scalable software systems and services. Drives feature development, architectural decisions, code quality, production troubleshooting, and engineering best practices. Mentors junior engineers, conducts code reviews, collaborates with senior technical stakeholders, and improves team effectiveness across cloud-native platforms.

Leads the design, development, and deployment of scalable, high-performance software systems and services. Drives feature development, architectural decisions, code quality, production troubleshooting, and engineering best practices. Mentors junior engineers, conducts code reviews, collaborates with architects and senior engineers, and improves team effectiveness across cloud-native platforms.

Leads a Cloud Infrastructure Automation and SRE team responsible for secure, reliable, scalable cloud platforms. Oversees infrastructure as code, Kubernetes, CI/CD, operational reliability, incident management, security controls, monitoring, automation, and self-service tooling across AWS, GCP, or Azure environments. Provides technical and people leadership, partners cross-functionally with security and application teams, and reports reliability, security, and automation metrics to stakeholders and executives.

Leads the design, development, and deployment of scalable, high-performance software systems. Drives features from concept through production, contributes to architecture and technical strategy, mentors junior engineers, conducts code reviews, establishes engineering standards, and resolves performance and production issues. Collaborates with architects and senior engineers to deliver maintainable, production-grade software across cloud-native platforms.

Leads the design, development, deployment, and optimization of scalable software systems and services. Drives feature development, architectural decisions, code quality, production troubleshooting, and engineering best practices. Mentors junior engineers, conducts code reviews, collaborates on technical strategy, and promotes continuous learning and team effectiveness across Tekion’s cloud-native automotive platforms.

Designs, develops, tests, deploys, and maintains scalable Java Spring Boot microservices and distributed cloud systems. Contributes to architecture, technical strategy, roadmaps, monitoring, testing, and continuous integration. Troubleshoots complex application issues, collaborates with product and engineering teams, estimates delivery work, and mentors junior engineers. The role also documents current and future-state processes and recommends technical improvements. GCP experience is preferred, including Cloud Run, GKE, Pub/Sub, Cloud SQL, and BigQuery.

Architect and develop scalable web services, distributed systems, dashboards, databases, ETL pipelines, and Python quantitative libraries supporting portfolio management, trading, market monitoring, alpha generation, and risk management. The role requires strong software design, quantitative reasoning, high-efficiency programming, multithreading, SQL, and financial-services experience.

Develop scalable web services, front-end dashboards, Excel tools, data pipelines, ETLs, and quantitative Python libraries supporting portfolio management, trading, alpha generation, and risk management. The role also promotes software engineering best practices and requires strong quantitative reasoning, database knowledge, communication, and financial services experience.

Design, develop, and automate large-scale, high-performance software systems supporting seller inbound and logistics operations. Build scalable data infrastructure and pipelines, maintain highly available distributed systems, own projects end to end, and ensure strong operational health. The role focuses on backend or full-stack engineering using cloud technologies, APIs, Java, Spring, AWS, Kafka, Elasticsearch, and other big-data technologies.

Develop and maintain manual and automated UI, API, and backend tests for cloud-native SaaS services. Build reusable testing utilities and infrastructure, execute test suites across environments, analyze failures, and integrate automation into Jenkins and cloud-based CI/CD systems. Collaborate with distributed engineering teams on test strategies, functional validation, regression testing, test data, and environment configuration. Explore AI-assisted automation and support quality throughout the software development lifecycle.

Senior Site Reliability Engineer responsible for designing and maintaining scalable infrastructure, deployment processes, monitoring platforms, and automation for distributed systems. The role improves reliability, performance, observability, and operational efficiency through Linux administration, scripting, infrastructure as code, CI/CD, Kubernetes, cloud platforms, and monitoring tools. The engineer collaborates with internal teams to resolve technical challenges, safely deploy software, and drive continuous improvement.

Lead cloud architecture and full-stack development for an enterprise SaaS platform. Own AWS architecture, backend services, REST APIs, frontend standards, containerization, CI/CD, security, scalability, and reliability. Mentor engineers, conduct code reviews, guide technical decisions, and partner with product, data science, and analytics teams to productionize AI and ML capabilities. Establish responsible AI-assisted development practices and contribute to hiring, onboarding, and team capability development.

Provides expert technical support for infrastructure services, resolves complex issues, monitors and troubleshoots systems, supports infrastructure projects, improves service efficiency, and develops technical documentation. Requires strong infrastructure technology analysis, data analysis, problem-solving, and continuous learning. The role typically requires five or more years of relevant experience, including at least two years in a similar position.