Top Engineering Manager Jobs in Bangalore

Leads the Enterprise Payments engineering team, setting roadmap priorities, developing engineers, ensuring reliable delivery, and building scalable, secure payment systems. The role oversees operational excellence, customer support models, cross-functional collaboration, hiring, and team culture. Candidates need extensive engineering leadership experience, deep fintech or payments expertise, and hands-on knowledge of distributed systems, databases, SDLC practices, and scalable microservice architectures.

Lead and grow a platform engineering team in Bangalore while providing hands-on architectural oversight and technical leadership. The role involves building managed data stores, internal developer platforms, cloud infrastructure, automation pipelines, and AI/ML infrastructure. Responsibilities include reviewing designs, debugging complex systems, mentoring engineers, driving reliability and security, and coordinating execution across global teams. Candidates need extensive software engineering and management experience, distributed systems expertise, cloud architecture knowledge, and fluency in modern programming and infrastructure technologies.

Leads a Payments engineering team building backend systems for financial institution onboarding, payment orchestration, ledgers, reconciliation, bank and PSP integrations, and bulk payment processing. Owns technical direction, delivery, reliability, security, financial correctness, incident response, and cross-functional roadmaps. Recruits, coaches, and manages engineers while supporting cross-border payments, stablecoin settlement, geographic expansion, and collaboration across US- and India-based teams.

Leads multiple software engineering teams, overseeing delivery, compliance, stakeholder relationships, and day-to-day implementation. Guides engineers, drives responsible adoption of AI-assisted development and SDLC automation, manages dependencies, and ensures secure, resilient, high-quality application delivery. Requires software engineering expertise, people management, cloud-native AWS experience, agile practices, and financial-services IT knowledge, with preferred experience in Java, React, global stakeholders, AI transformation, and agentic workflows.

Leads multiple software engineering teams within infrastructure platforms, providing technical direction, coaching, budget and delivery oversight. Drives adoption of enterprise SDLC frameworks, AI-assisted engineering, automation, governance, security, and reliability practices. Guides Java-based distributed platform design, REST APIs, workflow orchestration, observability, resiliency, storage, and data-transfer solutions. Partners with SRE and stakeholders to manage risks, improve operational efficiency, develop talent, and deliver cloud-native and AI-enabled capabilities.

Own the global Salesforce platform lifecycle, including architecture, design, deployment, and major SFDC initiatives. Lead and develop a high-performing Salesforce engineering team, set technical direction, ensure delivery quality, and collaborate with Product and Business stakeholders to translate commercial needs into scalable solutions. Drive AI-assisted development, automation, Agile/Scrum practices, and effective decision-making across distributed teams.

Leads a cross-functional team of backend, mobile, and web engineers building Tide’s global in-person acquiring products. Owns technical direction, architecture, delivery, reliability, vendor and hardware integrations, payment networks, ePOS systems, Tap to Pay, mobile applications, pricing engines, and international platform expansion. The role combines people management, hands-on technical leadership, scalable cloud-native engineering, stakeholder communication, and end-to-end product ownership.

Provides technical leadership for railway signalling and telecommunications engineering across metro, mainline, high-speed, freight, and transit projects. Oversees system design, integration, testing, commissioning, safety assurance, RAMS, lifecycle management, stakeholder interfaces, and multidisciplinary engineering teams. Responsibilities include CBTC and ETCS implementation, railway subsystem integration, technical documentation, hazard analysis, safety cases, vendor evaluations, migration strategies, and adoption of emerging signalling technologies.

Leads a team of Production Engineers responsible for the reliability, scalability, availability, and operational excellence of globally distributed production services. Drives automation, observability, incident response, operational readiness, resilience testing, and architectural improvements across a multi-cloud platform. Partners with engineering teams to reduce operational toil, improve service maturity, and strengthen reliability practices.

Leads the Developer Platform engineering organization by treating the internal platform as a product, defining roadmaps, prioritizing backlogs, and delivering secure, reliable self-service development and deployment workflows. Manages and mentors engineering talent, drives architecture for distributed systems, promotes CI/CD and operational excellence, collaborates across teams, supports recruitment and development, and participates in operational reviews and support rotations.

Leads advanced technology exploration and R&D programs across electronics, embedded systems, IoT, sensors, and connectivity. Develops technology roadmaps, manages cross-functional teams and external partners, oversees prototyping and validation, and transfers mature technologies into product development. Responsibilities include technical risk management, IP strategy, regulatory compliance, business cases, portfolio metrics, supplier collaboration, and mentoring engineering staff.

Leads a new optical manufacturing test engineering team in Bangalore. Develops automated manufacturing test strategies and solutions, analyzes hardware designs for test coverage, supports factories with tester and product failure analysis, and coordinates technical interfaces across R&D, supply chain, and manufacturing partners. The role also includes team leadership, project tracking, asset and order management, audits, manufacturing data analysis, and international collaboration.

Lead a backend engineering team building customer and platform offerings, including gRPC APIs and observability infrastructure. Responsibilities include setting technical direction, defining roadmaps and OKRs, reviewing architecture, improving delivery and reliability, managing incidents, coaching engineers, and collaborating with product, design, customer success, marketing, and customers. The role requires leadership of cloud-scale distributed systems and a strong focus on customer and developer experience.

Leads multiple backend, cloud, and observability engineering teams within a financial institution. Responsibilities include coaching engineers, setting team standards, managing technology projects, coordinating dependencies, ensuring compliance, and improving delivery through responsible AI-assisted development and SDLC automation. The role requires cloud-native experience, software development lifecycle expertise, agile practices, application resiliency, security knowledge, and financial services technology experience. Preferred skills include Python, data platforms, databases, AI/ML, frontend technologies, and observability tools.

Leads multiple software engineering teams, oversees delivery and implementation, develops and reviews secure production code, drives AI-assisted engineering and SDLC automation, improves application stability, and evaluates vendor and architectural solutions. Requires advanced Java or Python skills, system design and application development experience, software lifecycle expertise, agile and security knowledge, and the ability to promote responsible AI adoption across engineering teams.

Leads multiple software quality engineering teams within asset and wealth management. Responsibilities include developing enterprise QE strategies, automated and performance testing frameworks, CI/CD orchestration, load and scalability testing, monitoring and analytics, AWS validation, and bottleneck analysis. Manages 6–8 QEs, partners cross-functionally, ensures compliance, and guides responsible adoption of AI-assisted engineering and SDLC automation practices.

Lead and mentor a software engineering team to design, build, and operate secure, scalable Java-based microservices. Provide hands-on technical direction, drive architecture and DevOps best practices, manage projects and budgets, collaborate with product and stakeholders, and participate in rotational on-call responsibilities to ensure system reliability and continuous improvement.

Leads a team developing and validating semiconductor Process Design Kits, with emphasis on Parasitic Extraction collateral and flows across multiple Intel process generations and EDA vendors. Responsibilities include optimizing workflows, improving test coverage and QA, managing vendor collaboration, setting team goals, and developing engineering talent. The role requires extensive PDK, EDA, design methodology, and people-management experience in a semiconductor or technology environment.

Leads software engineering teams delivering and modernizing a SaaS platform built with .NET and React. Owns technical strategy, architecture, delivery outcomes, API design, CI/CD, observability, security, and operational excellence. Mentors engineers, manages performance and capacity, partners with product and business stakeholders, and drives scalable engineering standards, testing, reliability, and continuous improvement across global teams.

Leads engineering delivery for promotions and loyalty platforms, overseeing software development, QA, engineering operations, delivery quality, timelines, KPIs, risk, and compliance. Manages multidisciplinary teams, develops talent, engages global clients and stakeholders, supports solutioning and pre-sales, leads architecture and estimation, and identifies account growth opportunities.

Lead engineering delivery for Promotions and Loyalty Services platforms, overseeing software development, QA, engineering operations, quality, performance, timelines, KPIs, and risk. Manage multidisciplinary teams, develop talent, engage global clients and stakeholders, support solution design and pre-sales, and drive scoping, estimation, account growth, and trusted-advisor relationships. The role also owns technology and delivery decisions, capability building, utilization, compliance, and leadership communication.

Leads the Payments engineering team in designing, building, and launching scalable FinTech platform features. Drives architecture, cross-team project delivery, production reliability, and business outcomes while partnering with Product and UX. Coaches and mentors engineering leaders and senior technical staff, hires team members, and promotes strong engineering practices. The role focuses on resilient, secure backend services and payment systems supporting high-volume transaction processing.

Lead and grow the Bangalore engineering team responsible for Kong’s managed gateway infrastructure. Own the reliability, scalability, security, and operational lifecycle of a multi-tenant, multi-region SaaS platform across AWS, Azure, and GCP. Stay hands-on with architecture, implementations, incident response, observability, automation, and resilience engineering while driving 99.99%+ availability. Mentor engineers, establish SLOs and SLIs, reduce operational toil, and collaborate with product, engineering, and support teams.

Lead global Cloud and Platform Engineering teams to deliver reliable self-service platform capabilities. Hire, coach, and develop engineers and team leaders; own backlog, roadmap, FinOps governance, incident response, and platform reliability. Drive technical direction, standards, automation, and developer experience while aligning stakeholders and improving operational practices.

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.