Top AWS Jobs in Bangalore

Principal Software Engineer providing technical leadership across multiple engineering squads. Responsibilities include defining architectures and implementation roadmaps, delivering distributed cloud and commerce solutions, establishing technical standards, mentoring engineers, evaluating technologies, supporting DevOps practices, and aligning product, business, architecture, and engineering teams on major capabilities.

Leads technical direction for a data product squad, designing consumption layers, APIs, distributed systems, and batch or streaming pipelines. Owns reliability, scalability, security, incident response, and architecture standards. Partners with product, platform, BI, and architecture teams to unify data products and enable ontology-driven and agentic analytics experiences. Mentors engineers, drives design reviews, establishes data contracts, and influences broader data architecture.

Build and support cloud-native store checkout and integration platforms using Java, Spring Boot, microservices, and AWS. Develop scalable, resilient services integrating pricing, promotions, and tax systems, including offline capabilities. Own design, development, testing, deployment, monitoring, and production support while improving performance, reliability, and observability. Collaborate across teams, participate in Agile ceremonies and code reviews, mentor engineers, resolve technical issues, and deliver GenAI-powered capabilities.

Administer and support large, cloud-hosted databases across AWS, OCI, Azure, and virtual machines. Responsibilities include database operations, backups, performance tuning, patching, monitoring, user and storage management, data loading, documentation, architecture planning, and project support. The role collaborates with development and infrastructure teams, supports customers, and participates in a 24x7 on-call rotation, including after-hours and weekend coverage.

Build and maintain scalable, high-throughput supply chain platforms and services using Java, Spring Boot, and React. Design, develop, test, deploy, and review software in a cloud-based microservices environment. Collaborate with product managers, architects, and global technology teams; improve performance, reliability, scalability, and usability; contribute to innovation; mentor engineers; and participate in agile development and continuous improvement.

Lead and scale a global engineering organization for Sales Technology: own roadmap and delivery, define architecture standards, drive modernization including AI-enabled engineering, improve SDLC quality and efficiency, mentor teams, and align with product and business stakeholders to support sales and revenue objectives.

Leads architecture, development, modernization, and delivery of enterprise mobile platforms across iOS and Android. Builds scalable mobile applications, shared libraries, AI-enabled experiences, secure integrations, offline capabilities, testing and CI/CD workflows. Owns initiatives end to end, drives technical architecture and release quality, mentors engineers, establishes AI-assisted development practices, and coordinates with product, design, backend, security, QA, and DevOps teams.

Lead the design, development, modernization, testing, release, and ongoing support of enterprise mobile applications across iOS and Android. Build native and cross-platform solutions, integrate APIs and AI services, improve performance, security, accessibility, observability, and reliability, and guide mobile architecture. Coordinate technical workstreams, manage risks, partner with cross-functional teams, mentor engineers, promote AI-assisted development, and support CI/CD, app-store releases, production monitoring, and continuous improvement.

Leads AI-assisted full-stack development across Angular and Python environments. Directs autonomous coding agents, reviews generated code for security and architecture, builds GraphQL and REST APIs, manages SQL and DynamoDB data layers, and optimizes AWS and GCP deployments. Establishes testing frameworks, prompt-engineering workflows, repository context, cloud monitoring, security controls, and CMS integrations.

Leads enterprise AWS cloud architecture across multi-region and hybrid environments. Owns cloud migration strategy, high availability, disaster recovery, infrastructure-as-code governance, CI/CD standards, Kubernetes and service mesh architecture, security, compliance, and cost optimization. The role guides PCI DSS and SOC 2-aligned designs, documents technical decisions and roadmaps, governs architecture reviews, and mentors engineering teams across the organization.

Develop and own Safe’s Android application, bringing it to feature parity with iOS. Build secure, scalable, high-performance Kotlin applications using modern Android architectures, Jetpack Compose, animations, persistence, APIs, and custom visualizations. Translate Figma designs into polished experiences, troubleshoot production issues, participate in architecture and code reviews, leverage AI-assisted development tools, and collaborate cross-functionally to deliver enterprise security features.

Owns end-to-end architecture for cardiovascular ultrasound software across frontend, backend, AWS, and on-premises environments. Translates clinical and product requirements into secure, scalable systems; leads architecture reviews, prototypes, troubleshooting, technical standards, and roadmap execution. Partners with engineering, cybersecurity, DevOps, quality, verification, regulatory, and product teams. Requires extensive distributed systems, hybrid cloud, healthcare interoperability, medical-device software, and technical leadership experience.

Leads the Bengaluru engineering organization responsible for the architecture, development, verification, release, deployment, and lifecycle support of cardiovascular ultrasound digital products. Builds engineering capability, manages talent and resources, drives cloud and hybrid product delivery, and ensures quality, cybersecurity, scalability, reliability, and regulatory compliance. Partners with global product, clinical, systems, quality, regulatory, cybersecurity, and service teams while communicating strategy, risks, investment needs, and delivery status to senior leadership.

Lead and grow an engineering team building cloud-native data and AI platform infrastructure for industrial intelligence. Architect real-time and batch pipelines, IoT data platforms, MLOps systems, and highly available production environments. Partner with Product, AI/ML, and service teams to deliver secure customer solutions, establish DevOps and observability standards, and support regulated and multi-customer deployments.

Design, develop, and scale Avathon’s Computational Knowledge Graph platform. Responsibilities include ontology and schema modeling, IQL query optimization, data ingestion, graph computation, Python and ML integration, API development, large-scale performance optimization, and architectural planning. The role partners with product and data science teams, translates business needs into graph solutions, and mentors engineers.

Maintain and improve a globally distributed corporate and campus network. Responsibilities include network maintenance, upgrades, ISP provisioning, routing and switching troubleshooting, WLAN and remote access support, security configuration, disaster recovery testing, incident response, monitoring, automation, documentation, office deployments, and collaboration with networking, telephony, security, and infrastructure teams.

Build and maintain highly available, distributed systems for Compliance Engineering SRE. Responsibilities include monitoring production services, defining SLIs and SLOs, capacity planning, performance tuning, incident management, automation, self-healing capabilities, reliability improvements, and reducing operational toil. The role requires programming, Linux development, observability, containerization, orchestration, networking, and distributed systems expertise.

Lead backend engineer responsible for designing and maintaining scalable Python services, APIs, event-driven AWS systems, data layers, RAG pipelines, and production AI agents. The role covers distributed systems, authentication, observability, infrastructure automation, dbt and Airflow data-platform workflows, reliability, security, testing, and CI/CD. The engineer will set technical direction, design service and API architectures, conduct code reviews, mentor teammates, and optimize AI quality, performance, cost, and security.

Leads architecture, design, development, testing, and delivery of scalable enterprise software platforms. Drives technical strategy, resolves complex system issues, reviews code, guides design decisions, mentors engineers, and improves engineering practices. Requires full-stack development expertise across .NET, C#, Web APIs, SQL Server, microservices, cloud platforms, CI/CD, distributed systems, secure coding, testing, and performance engineering. Collaborates with cross-functional leaders and supports innovation across multiple teams.

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.