Top Engineering Jobs in Bangalore

Lead backend software engineering for Prime Services Custody systems. Design, develop, test, and deploy scalable distributed services using Java, Spring, Kafka, AWS, Kubernetes, and Terraform. Own end-to-end SDLC delivery, data modeling, infrastructure lifecycle, automation, testing, and root cause analysis. Collaborate with global business, operations, and technology stakeholders while communicating technical decisions, risks, and progress.

Leads the architecture, development, and operation of scalable cloud-based data applications and processing pipelines. Drives AI and GenAI initiatives, optimizes existing systems, resolves complex architectural and infrastructure issues, and ensures reliability and availability. Provides technical leadership through code reviews, coding standards, documentation, and collaboration with global stakeholders. Requires strong Python, SQL, PostgreSQL, cloud, Terraform, BigQuery, event-driven architecture, and data engineering experience.

Lead and support Oracle integrations across Fusion applications using OIC, VBCS, PCS, ODI, and PaaS solutions. Manage end-to-end data integration, databases, data models, data quality, governance, performance tuning, reporting, and PL/SQL/T-SQL development. Collaborate with development teams on requirements, design, testing, reconciliation, release pipelines, and post-go-live support across development, UAT, and production environments.

Lead a cross-functional engineering team building and scaling the DataSwitch data integration platform. Own feature and release delivery, roadmap planning, architecture governance, CI/CD adoption, quality standards, agile practices, and project risk management. Recruit, mentor, and develop engineers while coordinating with product, architecture, QA, DevOps, and senior leadership. Translate business requirements into engineering plans and ensure scalable, resilient, maintainable technical solutions.

Develop and optimize scalable metrics engines and complex counterparty credit risk workflows. Build high-performance calculation processes, contribute to cloud-first and AI-enabled architecture, write production-grade code, implement platform enhancements, and maintain engineering quality through testing and code reviews. Collaborate with quantitative engineers, technical leaders, product managers, and stakeholders to deliver resilient systems supporting global risk management.

Develop and enhance embedded firmware and NAND test programs used to qualify flash memory devices for USB, SD, microSD, and external SSD products. Responsibilities include interpreting controller and protocol specifications, debugging test programs, resolving production issues, improving firmware architecture, and collaborating with geographically distributed cross-functional teams. The role requires embedded systems testing, microcontroller expertise, and strong C, NAND programming, and Python skills.

Owns deployment and operation of critical collaboration services across cloud and hybrid environments. Leads CI/CD and AI-first automation, incident response, root cause analysis, observability, capacity planning, and reliability improvements. The role requires operating Docker and Kubernetes production services, improving scalability and performance, defining operational standards, and participating in on-call rotations and disaster recovery activities.

Support Microsoft BizTalk and Dynamics 365 CRM applications, resolve incidents and service requests within SLA, perform root-cause analysis, deploy patches, improve batch processes, test approved changes, conduct disaster-recovery drills, and coordinate with customers, OEMs, and IT operations teams.

Lead backend engineering teams to define technical design and implementation roadmaps across multiple solutions. Ensure squads are resourced and deliver large-scale distributed systems; contribute hands-on to architecture, scaling, performance tuning, and mentoring.

Leads software development engineering strategy, SDLC transformation, architecture governance, cloud delivery, CI/CD, DevSecOps, quality practices, and responsible AI adoption. Oversees product development teams, establishes engineering standards, guides roadmap and technical trade-offs, improves delivery predictability, and develops high-performing leaders and teams. Uses AI-enabled insights for architecture reviews, technical debt management, risk analysis, quality reporting, documentation, and portfolio decisions.

Build and deploy full-stack prototypes and production features for Salesforce’s AI-native pre-sales scoping tool. Responsibilities include frontend and backend development, Claude agent and MCP integration, REST APIs and OAuth/JWT authentication, database design, Git and Jenkins-based CI/CD, Heroku deployment, and unit, integration, and user-acceptance testing.

Leads enterprise Power Platform and Microsoft 365 productivity services, owning strategy, architecture, governance, adoption, operations, integrations, automation, and business value. Manages platform engineering teams, oversees Copilot enablement, supports M&A migrations, establishes security and lifecycle controls, manages vendors, and provides executive stakeholder guidance. The role drives service reliability, compliance, cost optimization, adoption analytics, and continuous improvement across globally distributed enterprise environments.

Designs end-to-end cloud data platforms, analytics, reporting solutions, and ingestion pipelines using Snowflake and AWS. Translates business needs into scalable architectures, leads modernization and cloud migration, establishes governance and security frameworks, and oversees architecture reviews. Provides technical leadership and mentorship to architects and engineers, facilitates solution workshops, and supports pre-sales activities, estimation, proposals, and client presentations.

Build and operate a full-stack CI/CD and release automation platform using Java, Spring Boot, and React, Angular, or Vue.js. Design scalable services, APIs, relational data models, pipeline workflows, audit logging, and deployment visibility. Develop AI-native capabilities, write unit and end-to-end tests, and deploy production services through GitOps, Kubernetes, cloud, and VM-based environments. Own features from conception through release while collaborating across product, backend, DevOps, and QA teams.

Designs, develops, integrates, and troubleshoots industrial robotics and automation solutions. The role analyzes project requirements, develops control algorithms, integrates robotic systems, supports prototype-to-final-system testing, leads implementation, and benchmarks emerging technologies. Required expertise includes linear and nonlinear control, C/C++, Python, MATLAB, Linux-based real-time systems, sensing technologies, data fusion, and industrial system testing. Image processing, computer vision, and robotic automation experience are preferred.

Lead design-for-manufacturability and new-product-introduction for electrical products: collaborate with hardware, test, quality, and supply chain; drive DFM/DFR/DQ, BOM management, FMEA, lab debug/DOE, component qualification, board bring-up, and cost/value engineering to deliver production-ready, high-quality products.

As an Engineering Manager, you will build and operate scalable platforms, hire and develop engineering talent, and ensure high technical standards while collaborating across teams.

Lead and grow the Connect organization to build scalable data ingestion connectors and cloud services. Drive delivery, architecture decisions, reduce technical debt, collaborate with product and customers, and mentor engineering leaders to embed ingestion across Databricks surfaces.

Lead the SSCS Add-On engineering team to develop security capabilities, managing delivery, team growth, and quality in a collaborative environment.

Leads development of communications ICs with advanced signal-processing blocks, assigning work, tracking progress, resolving technical issues, and prioritizing resources. Collaborates with RF, ASIC, software, marketing, and customer-facing teams. Mentors staff engineers, drives methodology improvements, creates training, encourages innovation and patents, and occasionally performs design or debugging work. Requires deep communications-system expertise and extensive experience in modulation, coding, SERDES, beamforming, or related technologies.

Lead and grow a software engineering team building globally deployed, scalable, highly available Azure AI Search capabilities. Responsibilities include project planning, feature design, mentoring engineers, maintaining high-quality DevOps and customer support processes, analyzing telemetry and usage data, troubleshooting service issues, and balancing customer and business needs. The role also contributes to search service architecture, release tooling, live-site infrastructure, automation, and long-term cloud product strategy.

Lead design and delivery of multi-cloud cell placement and orchestration systems; build and grow the cell infrastructure engineering team; own reliability, on-call, incident response, and cost-visibility; partner with platform, CI/CD, and agent teams; define cross-cloud routing, data residency, and developer tooling to enable teams to deploy on cell infrastructure.

Lead and manage software engineers building Microsoft's large-scale Windows analytics and data processing platforms. Responsibilities include shaping product vision, delivering next-generation big data systems, collaborating across engineering and data science teams, and fostering engineering excellence, inclusion, and strong team culture. The role focuses on highly scalable, reliable distributed services using Azure big data and cloud technologies.

Lead and grow a software engineering team building Microsoft Fabric Stream Processing and Event Stream capabilities. Provide technical direction on distributed systems, scalability, dependencies, design documents, and delivery schedules. Build partnerships across Azure and Fabric, and operate highly available cloud services serving thousands of customers globally. The role focuses on high-throughput, low-latency messaging and stream-processing systems, SaaS data products, and user experiences for real-time intelligence.

Develop and maintain automated testing frameworks for web applications using Playwright, JavaScript, and Python. Perform API, performance, manual, functional, end-to-end, and integration testing. Execute test suites through Jenkins, manage test data across environments, and collaborate on test plans and quality metrics. Apply Agile, CI, SDLC, scalability, and documentation practices while supporting reliable software delivery.