Top AWS Jobs in Bangalore

Develops secure software architecture solutions for applications and platforms within a banking risk and control environment. Responsibilities include creating architecture artifacts, coding, troubleshooting, evaluating technologies, guiding modernization, participating in governance, and integrating enterprise-authorized AI patterns across the SDLC. The role requires system design, application development, testing, operational stability, cloud deployment, infrastructure as code, database experience, and collaboration with product and architecture teams.

Design and build scalable backend platforms, APIs, event infrastructure, and developer integration frameworks. Establish architectural and engineering best practices, improve testing and monitoring, review designs and code, mentor engineers, and ensure reliable production delivery. The role requires expertise in Java or Kotlin, AWS, microservices, distributed systems, messaging, databases, and platform API design.

Leads the design, development, governance, and lifecycle management of secure, scalable APIs and platform services supporting enterprise AI products. Builds backend and full-stack services across multiple languages and clouds, enables LLM tool calling, RAG, and agentic workflows, establishes reliability and security standards, and drives reusable integrations, SDKs, and connectors. Provides technical leadership through architecture and code reviews, mentors engineers, partners with stakeholders, and shapes the platform roadmap.

Writes and maintains automated tests for web, mobile, and backend applications; performs performance, load, regression, integration, and system testing; documents and tracks defects; collaborates with engineering, product, and QA teams; participates in code reviews; and uses AI coding assistants to create tests, generate mock data, and troubleshoot failures.

Develops, maintains, and enhances Cleo software applications using Java, TypeScript, Angular, Node.js, and SQL. Responsibilities include designing solutions, writing and testing code, debugging defects, collaborating cross-functionally, documenting software, and upgrading existing applications. The role emphasizes AI-assisted development, including coding assistants, LLM APIs, and agentic AI patterns.

Develop and sustain full-stack cloud software, including AI and agentic capabilities. Design architectures, write high-quality code, test components, troubleshoot production issues, support CI/CD and DevOps workflows, document technical solutions, communicate risks, and mentor junior engineers. The role requires hands-on experience with Java, Node.js, TypeScript, Angular, and SQL, plus the ability to integrate LLMs and agentic workflows into production systems.

Designs and implements complex software changes across platform components, defines architecture patterns, evaluates technologies, and supports software products. The role applies AI-first development practices and builds AI-powered and agentic capabilities using LLM APIs, tool use, memory, and MCP integrations. It also involves cross-team consultation, risk reporting, technical leadership, mentoring, and knowledge transfer.

Designs, develops, tests, deploys, and supports scalable full-stack applications and AI-enabled solutions for agricultural and trading businesses. Builds generative AI, LLM, agentic workflow, and RAG applications using cloud-native platforms. Collaborates with product and engineering teams, automates deployment processes, maintains documentation, troubleshoots production issues, and improves software delivery standards and reliability.

Designs and operates scalable cloud-native platforms using AWS, Azure, Kubernetes, Docker, EKS, and AKS. Builds CI/CD pipelines, automates infrastructure, and applies GitOps, DevSecOps, and Infrastructure as Code practices. Manages observability, monitoring, AIOps, anomaly detection, alerting, log analytics, incident response, troubleshooting, and root-cause analysis. Requires an engineering or computer science degree and typically 8–12 years of experience. Cloud and Kubernetes certifications are preferred.

Manage and support enterprise infrastructure and cloud environments across Windows, Linux, OpenShift, AWS, Azure, virtualization, storage, backup, networking, and server platforms. Responsibilities include troubleshooting complex incidents, maintaining availability and SLAs, deploying infrastructure solutions, managing operating system images, supporting automation, monitoring capacity, performing upgrades, documenting procedures, and collaborating with stakeholders. The role requires strong infrastructure administration, cloud, scripting, troubleshooting, communication, and continuous-improvement skills.

Leads architecture, integration, deployment, and operations for highly available multi-cloud solutions across AWS and GCP. Builds infrastructure with Terraform and Ansible, develops automation in Python or Go, and manages Kubernetes, Docker, Linux, observability, SLOs, incident response, and 24x7 production support. Partners with customers and engineering teams on deployment and troubleshooting, while improving reliability through root cause analysis and post-mortems.

Lead the technical evolution and long-term architecture of Jira Data Management. Drive enterprise-scale data movement, governance, resiliency, reliability, performance, security, and observability initiatives. Own a 12–24 month platform roadmap, lead major architectural programs from strategy through delivery, conduct design and incident reviews, solve high-risk technical problems, and mentor senior and principal engineers across Jira Platform.

Lead Atlassian’s ITSM Analytics engineering organization, shaping a multi-pod team responsible for reporting, analytics, data pipelines, GraphQL APIs, React interfaces, and data infrastructure. Set technical direction, scale analytics products, drive performance and data quality, deliver enterprise-ready releases, and hire, coach, and retain senior engineers.

Lead the technical vision, architecture, and delivery of Atlassian’s large-scale Search Platform. Responsibilities include building distributed ingestion and indexing systems, supporting multi-cloud and isolated-cloud environments, meeting enterprise compliance and encryption requirements, improving throughput and reliability, optimizing infrastructure costs, and advancing vector, hybrid, and agentic retrieval capabilities. The role requires cross-functional technical leadership across ML, data, cloud infrastructure, and product teams.

Build and improve backend applications and distributed systems, leading complex projects from technical design through launch. Responsibilities include solving architecture challenges, establishing standards, reviewing code, documenting systems, fixing high-risk bugs, collaborating across engineering teams, mentoring junior engineers, and transitioning expertise to Java development while considering scalability, performance, robustness, and customer impact.

Leads 2–3 scrum teams of 12–20 engineers, driving technical architecture, product and platform roadmaps, engineering excellence, operational excellence, and business outcomes. Coaches engineers and managers, develops high-performing teams, influences product direction, and provides clarity in ambiguous environments. Partners with product, design, architecture, and global stakeholders while supporting large-scale SaaS software development and continuous delivery.

Own the technical evolution and architecture of Jira Data Management, leading enterprise-scale data movement, governance, resilience, and data health initiatives. Define long-term platform roadmaps, lead major architectural programs, and improve reliability, performance, observability, security, and operational excellence. Provide hands-on technical leadership through design reviews, investigations, incident reviews, and complex problem solving while mentoring senior and principal engineers.

Build and ship scalable backend features and RESTful microservices in a distributed cloud environment. Responsibilities include code review, testing, documentation, monitoring, error reporting, reliability and performance improvements, Agile participation, and mentoring teammates. The role requires experience with backend application development, object-oriented programming, databases, public cloud platforms, and cloud architecture patterns.

Design, build, and operate Atlassian’s foundational data platform, including Flink streaming ingestion and MPP query systems such as StarRocks. The role owns architecture, production reliability, performance, cost, data quality, observability, code reviews, complex problem resolution, cross-team initiatives, and mentoring. Candidates need strong distributed-systems and data-engineering expertise, coding skills in Java, Scala, or Python, cloud infrastructure experience, and operational experience with high-scale platforms.

Lead backend software engineering initiatives from technical design through launch. Solve complex architecture and reliability challenges, deliver shared solutions for engineering teams, establish code review and documentation standards, manage high-risk fixes, influence company-wide initiatives, mentor engineers, and make customer-focused technical decisions across cloud and developer productivity environments.

Lead application architecture for full-stack .NET and Angular/React systems, emphasizing scalability, resilience, testability, observability, and quality by design. Establish AI-first engineering standards, microservice and event-driven architecture practices, CI/CD quality gates, testing strategies, and architectural documentation. Drive cross-team technical alignment, mentor engineers, conduct architecture reviews, manage technical debt, and promote continuous quality improvement across product engineering teams.

Leads backend software engineering across teams and departments, delivering complex technical solutions and governing AI-enabled engineering and SDLC automation. Sets technology direction, ensures security, resiliency, quality, and responsible AI controls, manages resources and budgets, and influences senior stakeholders. Builds cross-functional teams, develops talent, drives cloud-native engineering practices, and delivers reusable solutions in a financial services environment.

Provides customer-facing WLAN consulting and engineering services for Aruba solutions, including network planning, design, implementation, migration, optimization, troubleshooting, and security improvement. Develops technical documentation, simulates designs in labs, supports customer reviews and training, and collaborates with engineering and field teams. Requires strong wireless, networking, authentication, VoIP, and Aruba product expertise, along with customer-site travel.

Leads two software engineering teams delivering the EZLynx platform. Responsibilities include technical architecture oversight, hiring and coaching, code quality and test automation, delivery planning, operational issue resolution, performance management, roadmap execution, and process improvement. The role requires hands-on expertise in C#/.NET, ASP.NET Core, Angular, TypeScript, SQL Server, REST APIs, distributed systems, cloud platforms, and Agile methodologies.

Administer, operate, support, and enhance Cargill’s self-service analytics platforms, including Power BI, Tableau, and KNIME. Maintain Windows and Linux infrastructure, automate administration, manage authentication and access, and build monitoring, logging, and reporting capabilities. Provide Tier 2+ and on-call support, resolve platform issues, document systems, improve resiliency and performance, and coordinate multidisciplinary teams. The role also supports cloud infrastructure, networking, deployment automation, configuration management, and globally distributed analytics services.