Top Engineering Manager Jobs in Indianapolis, IN

Lead and coach the engineering team building AutoReview, an AI-powered mechanical design review product. Partner with Product on roadmap planning, feasibility, estimation, prioritization, and timelines. Maintain technical context to identify risks and dependencies, guide initiatives involving DFM checks, assembly analysis, and bulk workflows, and collaborate with applied ML teams. Establish clear ownership, support engineer autonomy, and help the team navigate evolving customer needs and AI technologies.

Leads two infrastructure and engineering systems squads, owning roadmap, prioritization, delivery, operational health, hiring, mentoring, and vendor budgets. Ships production code, manages on-call performance, oversees audits and automation, and partners across engineering and business functions. Requires substantial software engineering and people-management experience, hands-on production development across cloud or application technologies, strong CI/CD and observability knowledge, security awareness, and experience directing AI agents in production workflows.

Leads an engineering team developing, maintaining, testing, and optimizing custom Linux kernel infrastructure at planetary scale. Responsibilities include feature development, performance tuning, vulnerability management, hardware support, low-level debugging, reliability and security strategy, mentoring, quality standards, and collaboration with technical teams and open-source communities. The role also requires hands-on technical contributions when needed.

Leads and develops a team building growth-critical platforms, AI-driven tools, automations, and infrastructure. Collaborates with Product and Design, guides architecture and implementation, manages execution, improves team processes, and partners with engineering leaders. The manager remains hands-on, writing production-grade backend code, using AI tools, and promoting quality, reliability, accountability, and team autonomy across distributed teams.

Engineering Manager responsible for the health, delivery, people management, onboarding, staffing, and continuous improvement of a 6–8 person engineering pod. The role partners with Product and Technical Leads, manages execution and technical risk, supports hiring and growth, addresses performance issues, and maintains enough technical depth to evaluate software plans. The manager will work in an AI-native, remote-first environment building mortgage automation software.

Lead the technical vision, architecture, and development of Cadence’s AI-powered Clinical Intelligence platform. Build reliable clinical decision-support and medication recommendation systems using patient data, clinical protocols, safety rules, and clinician oversight. Hire, mentor, and grow AI, backend, and full-stack engineers while establishing engineering standards, testing, observability, validation, and regulatory-readiness practices. Partner with clinical, product, design, and AI stakeholders to deliver safe, scalable production systems.

Lead and grow a compiler, kernel, and runtime engineering team responsible for accelerator bring-up across the Modular stack. Drive technical direction, architecture, coding, roadmap delivery, vendor partnerships, SOWs, milestones, cross-team dependencies, hiring, and production-quality model deployment across diverse hardware platforms.

Lead technical vision and system design for the Marketplace team while managing and coaching 3–5 engineers. Build scalable systems serving personalized offers, establish team processes, support onboarding, and improve collaboration across engineering, product, design, and data. The role combines engineering management with hands-on technical leadership in a remote-first startup environment.

Leads the strategy, validation, and safety assurance of Level 3–4 autonomous driving behaviors powered by machine learning. Owns behavior-related safety cases, standards alignment, ODD and evaluation frameworks, safety metrics, launch-readiness assurance, and evidence assessment across simulation, closed-course, and public-road testing. Leads cross-functional technical collaboration and builds a high-performing AV behavior safety engineering team through hiring, coaching, and development.

Leads and manages an 8–10-person storage engineering team responsible for MongoDB’s transactional read/write path, durability, availability, performance, indexing, and storage architecture. Owns the roadmap, customer escalations, cross-team initiatives, engineering quality, hiring, coaching, and execution. Partners with Replication, Query, Sharding, Atlas, and other teams on distributed systems and workload-management improvements.

Leads Site Reliability Engineering teams responsible for reliability, availability, incident response, disaster recovery, automation, telemetry, security, and compliance for Microsoft Substrate services in regulated environments. Establishes SLOs and SLIs, drives operational excellence, participates in on-call rotations, leads post-incident improvements, develops senior engineers, and influences cross-organizational engineering strategy.

Lead engineering ownership of an acquired consumer VPN product from due diligence through integration, stabilization, and growth. Manage and coach engineers while remaining hands-on with Kotlin, Swift, Go, architecture, operations, security, and production incidents. Establish testing, CI/CD, infrastructure, documentation, and compliance practices; partner with product, corporate development, marketing, and operations; and create a repeatable engineering playbook for future acquisitions.

Lead a backend engineering team responsible for Benepass Core Services, including ledger, decisioning, authentication, integrations, and money movement systems. Manage and develop 4–6 engineers, oversee hiring and performance, guide project execution, and maintain delivery accountability. Provide technical leadership through design reviews, prototyping, debugging, and operational incident management. Partner cross-functionally, uphold reliability and correctness standards, and model effective daily use of AI in engineering and management workflows.

Engineering Manager leading a 4–6 person backend team responsible for core fintech services, including ledgers, decisioning, integrations, authentication, and directories. The role combines people management, hiring, coaching, execution ownership, technical design reviews, production debugging, reliability, and delivery accountability. The manager must remain technically credible in Python/Django systems, uphold high-integrity engineering standards, and use AI extensively for coding, planning, debugging, communication, and team effectiveness.

Lead and grow a backend and full-stack engineering team responsible for Tradeify’s live trading platform. Partner with Product and Engineering teams on platform integrations, architecture, delivery, code quality, CI/CD, reliability, observability, and incident response. Remain hands-on through code reviews, design guidance, and technical problem solving while managing performance, hiring, onboarding, and cross-functional communication.

Lead the engineering team building Arcnine, Tradeify’s real-time trading platform from development through launch. Hire and develop engineers, guide architecture, partner with Product and Design, remain hands-on with code, establish quality and delivery practices, and own reliability, observability, and incident response. The role also contributes to company-wide engineering standards and communicates progress, risks, and needs to founders and cross-functional stakeholders.

Lead and grow a team of engineers building account and transaction history infrastructure. Drive re-architecture for scale, own internal developer tools and dashboards, shape distributed systems and streaming pipeline architecture, coordinate roadmaps with product and finance, and own hiring, SLA accountability, incident response, and on-call practices.

Lead and grow an engineering team building Sui wallet and DeFi experiences across web, browser extension, iOS, Android, backend services, and SDKs. Set technical direction for key management, signing, transactions, dApp connectivity, and asset management. Improve architecture, testing, observability, release safety, incident response, and security while partnering with product, design, protocol, and ecosystem teams to deliver reliable, user-friendly onchain products.

Manage and grow a Cloud Operations Engineering team to ensure fleet reliability and customer environment health across Azure, AWS, and GCP. Own operational outcomes (SLOs, error budgets, incidents), on-call rotations, audit/compliance contributions (FedRAMP, SOC2), cloud cost management, and cross-team coordination while partnering with architects and security. Hire, develop, and report on team performance and risk to engineering leadership.

The Engineering Manager will lead a team developing web applications and AI tools, optimizing product-led growth strategies and enhancing the developer experience.

Lead Supabase’s Billing engineering team, overseeing people management, hiring, roadmap delivery, technical direction, partnerships, and incident response. Own systems covering subscriptions, usage-based billing, invoices, payments, taxation, entitlements, collections, and provider integrations. Build a healthy remote team, ensure predictable delivery, improve reliability and operational maturity, and coordinate with Product, Finance, Data, Support, Sales, and Partnerships on revenue-critical initiatives.

Lead a global network engineering team to design, scale, and operate large-scale IP and optical backbone and hybrid cloud connectivity. Own technical roadmap, cloud connectivity strategy, automation, vendor relationships, hardware/software integration, testing, tooling, DDoS mitigation, operational excellence, and participate in 24x7 on-call rotations while ensuring compliance in regulated environments.

Leads a network engineering team responsible for resilient office, data center, and cloud infrastructure supporting critical investment and business applications. Owns network architecture, modernization roadmaps, automation, observability, incident response, change management, vendor relationships, and operational risk reduction. Provides technical direction, stakeholder communication, mentoring, prioritization, and performance management while ensuring secure, highly available, low-latency network services.

Lead LaunchDarkly’s Data Platform engineering team, overseeing high-throughput ingestion, streaming and batch pipelines, analytical data stores, reliability, observability, incident response, and operational excellence. Partner with product and engineering teams on roadmap planning, technical tradeoffs, and delivery. Coach engineers, manage performance and career growth, establish collaborative team practices, and participate in hiring.

Leads and mentors software engineering teams supporting Salesforce Finance and HR systems. Oversees application engineering, integrations, test automation, Agile delivery, vendor partnerships, stakeholder communication, and global team operations. Requires expertise with Workday Financials or HCM, MuleSoft integrations, HR or finance transformation, and end-to-end business processes.