Top Engineering Manager Jobs in Gurgaon

Lead platform engineering teams to execute platform strategy, roadmaps, and integration capabilities. Drive platform adoption, developer enablement, test automation, quality engineering, observability, AI-assisted tooling, and engineering productivity. Manage delivery planning, OKRs, sprints, capacity, dependencies, vendors, and stakeholder engagement while coaching and growing high-performing engineering teams.

Leads Twilio Segment’s data platform and pipeline engineering team, building high-scale ingestion, routing, and distributed data-processing systems. Responsibilities include architecting reliable cloud systems, guiding technical decisions, improving cost and performance, mentoring engineers, driving agile and automation practices, and translating technical strategy for stakeholders. The role requires managing software teams, overseeing multiple workstreams, and maintaining operational excellence across highly available systems processing large volumes of data.

As an Engineering Manager, lead a team of software engineers, ensuring timely project delivery while implementing Agile methodologies and maintaining high coding standards.

Lead a product pod's engineering delivery: plan, estimate, and execute features with high quality and predictable timelines. Bridge product and engineering by reviewing PRDs, guiding technical decisions, enforcing best practices (code review, testing, observability, security), mentoring engineers, collaborating with QA/Design/DevOps, and reducing production issues while managing technical debt.

Lead and grow remote engineering teams across Supabase, owning people management, hiring, roadmap and delivery, incident command, SLOs, and cross-team coordination while driving engineering quality and async communication.

Lead an 8-10 engineer team owning courier systems (dispatch, matching, pricing, ETA). Set technical direction, drive data-driven decisions and experiments, partner with data science, ensure reliability and scalability of low-latency distributed systems, and own hiring, performance, and operational excellence.

Manage and grow a 6-12 engineer team across frontend, backend, and platform. Own delivery processes, roadmap alignment, hiring, engineering best practices, incident response, and cross-functional leadership to deliver scalable fintech software.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

Leads ServiceNow engineering and operations with a focus on ITSM, platform architecture, integrations, upgrades, governance, security, and performance. Manages and mentors ServiceNow engineers, serves as a technical escalation point, translates client requirements into solutions, and oversees project roadmaps and release cycles. The role also establishes development and deployment best practices while partnering with stakeholders to drive platform reliability and continuous improvement.

Lead a 10-15 engineer team to design, build, and scale the Custom Objects platform: architect distributed systems, ensure reliability and observability, ship high-quality APIs/UI integrations, hire and mentor engineers, and collaborate cross-functionally to drive extensibility and platform adoption.

Leads a ten-person platform engineering team responsible for infrastructure, systems engineering, DevOps, networking, test automation, modernization, reliability, and operational excellence. Owns technical direction, architecture, cloud and on-premises infrastructure, cost optimization, delivery, troubleshooting, hiring, performance management, and career development. Partners with engineering, QA, product, and US leadership while building team structure and future technical leaders.

Manages and mentors a team of data engineers and architects, provides technical guidance, oversees customer Databricks projects, leads reusable tooling development, handles escalations, partners with stakeholders, improves service offerings, and supports customer success throughout sales and delivery.

Lead a 20-person software engineering and SDET team, overseeing people development, hiring, delivery, capacity planning, escalations, architecture reviews, engineering practices, and cross-team initiatives. Build scalable team leadership structures, mentor emerging leaders, and apply AI-enabled workflows and solutions. Partner with product leadership on roadmaps and execution while maintaining strong technical credibility in software architecture, distributed systems, Python, APIs, databases, testing, and CI/CD.

Lead the Monetization Infrastructure engineering team, provide hands-on technical leadership, ensure high uptime and incident management, collaborate with Finance and Product, drive operational excellence, and champion adoption of AI-assisted SDLC practices.

The role involves leading technical teams to develop high-quality software, mentoring engineers, and contributing to open source projects. Responsibilities include planning, execution, and enhancing the Linux user experience across various teams and technologies.

Lead cross-functional engineering efforts to deliver scalable, fault-tolerant SaaS products. Hands-on (~20%) coding and architecture, mentor managers and engineers, drive operational excellence (CI/CD, observability), manage incidents/on-call, define KPIs, reduce technical debt, influence product roadmap, and foster continuous improvement and collaboration across Product, SRE, QA, and Architecture.

Lead the Jaipur office as a Senior Engineering Manager, focusing on technical delivery, team leadership, client engagement, and establishing operations.

The Engineering Manager will lead a team focusing on backend development for a payment product, manage daily tasks, communicate with stakeholders, and foster team growth.

Lead product quality across the SDLC by reducing defects, driving root-cause analysis, defining automation strategy and quality gates, building automated test frameworks (Playwright, API, integration, performance), integrating tests into CI/CD, enforcing release readiness, and using Claude Code and other AI tools to analyze issues and improve engineering outcomes.