Top Remote Engineering Manager Jobs in Indianapolis, IN

Lead a distributed engineering team across frontend, backend, and full-stack development. Own delivery, architecture, system reliability, technical standards, production outcomes, and engineering processes. Coach and manage engineers, address performance gaps, make technical trade-offs, and connect engineering decisions to customer and business outcomes. The role requires staying technically involved through architecture reviews, code reviews, debugging, incident resolution, and scaling products used by millions of users.

Lead and develop a distributed engineering team responsible for frontend, backend, and full-stack products. Own technical architecture, engineering delivery, production reliability, system quality, and delivery speed. Partner with product, design, mobile, backend, and AI teams to turn ambiguous requirements into shipped outcomes. Coach engineers, manage performance, improve engineering processes and tooling, and resolve production issues while building a culture of technical excellence and ownership.

Lead a distributed engineering team across frontend, backend, and full-stack development. Own architecture, delivery, reliability, technical standards, production outcomes, and engineering processes for products serving millions of users. Partner with product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped solutions. Coach engineers, manage performance, raise technical standards, and drive a culture of ownership, speed, and continuous improvement.

Lead a distributed engineering team building and scaling customer-facing products. Own technical architecture, delivery, reliability, engineering standards, production outcomes, and continuous improvement across frontend, backend, APIs, databases, infrastructure, and AI integrations. Coach engineers, manage performance, resolve incidents, make technical trade-offs, and connect engineering execution to customer and business outcomes in a fast-moving global environment.

Lead a distributed engineering team building and scaling customer-facing financial products. Own delivery, architecture, technical standards, reliability, production outcomes, and engineering processes across frontend, backend, APIs, databases, infrastructure, and integrations. Coach engineers, manage performance, resolve incidents, make technical trade-offs, and connect engineering execution to customer and business outcomes. The role requires hands-on technical leadership, strong ownership, product sense, and effective collaboration across product, design, mobile, backend, and AI teams.

Leads quality engineering teams while remaining hands-on with test automation, planning, execution, and strategy. Responsibilities include building and mentoring technical teams, developing automation frameworks and quality practices, coordinating with development and product teams, tracking testing metrics, mitigating risks, ensuring compliance, and driving continuous improvement across multiple software projects.

Lead the technical direction for mission autonomy, developing decision-making capabilities for airborne systems, while overseeing teams and driving R&D projects.

Lead two engineering groups building shared foundational services (identity, subscription). Drive technical strategy, architecture, observability, CI/CD, and DORA metrics. Manage people, hiring, cross-team collaboration, product partnerships, and mentor engineers while occasionally prototyping and contributing to code and technical planning.

Manage and develop an engineering team while owning delivery, hiring, performance, technical judgment, and escalation response. Stay hands-on with coding and architecture, use coding agents effectively, improve engineering processes, and help engineers build stronger skills in scoping, estimation, decision-making, and ownership. Balance roadmap priorities with customer commitments and turn recurring issues into lasting product improvements across HumanSignal’s AI data and annotation platforms.

Lead and grow a backend engineering team while staying hands-on: design and build Python/FastAPI services with Temporal and Postgres, own roadmap and delivery, set SLIs/SLOs, drive observability and reliability, run engineering rituals, hire and coach engineers, and improve quality with DevOps and AI tooling.

Lead and grow engineering teams building AI-powered automation (especially LLM/Agentic AI) for compliance. Drive architecture, scalable multi-tenant systems, cloud-based engineering, cross-functional roadmaps, hiring, code quality, incident response, and delivery of high-impact AI/ML products.

Leads a software engineering team while remaining hands-on technically. Responsibilities include recruiting and developing engineers, guiding architecture and technical discussions, partnering with product and UX, building interfaces and backend systems, and improving application scalability, stability, security, and efficiency. The manager will influence technical strategy, evolve roadmaps, collaborate cross-functionally, and support cloud-based distributed systems.

Lead, mentor, and grow a software engineering team to deliver high-quality, scalable microservice-based solutions. Manage Agile processes, collaborate with Product, enforce engineering best practices, and drive continuous improvement in architecture, quality, and team performance. Participate in hiring, backlog planning, and drive measurable improvements in engineering execution.

Lead and grow a distributed software engineering team to design, ship, and support web-based features. Balance new feature delivery, technical debt, and system improvements; perform hands-on code review and triage; collaborate cross-functionally with product, design, and support; hire, coach, and mentor engineers; and establish processes for iterative, high-quality delivery that meet customer needs and SLAs.

The Engineering Manager will drive the growth of the engineering team, overseeing product development, architectural decisions, and integration of emerging technologies in web3.

Lead the Engineering team responsible for the API, focusing on platform strategy, team growth, and cross-functional collaboration to enhance product development and API performance.

Lead and grow a 16-person engineering organization across four AI-focused pods. Set technical direction, guide AI-native product and engineering development, manage cross-team dependencies, and oversee delivery, quality, reliability, security, and velocity. Partner with product, design, and leadership on scalable full-stack systems, mentor engineers and technical leads, and promote strong practices in architecture, testing, observability, incident response, and CI/CD within a HIPAA/SOC 2-aware environment.

Lead and grow a backend/platform engineering team building API-driven systems and core services. Own technical direction, architecture, reliability, and integration with product, data science, and infrastructure. Hire and mentor engineers, contribute to code and architecture, support incident response, and ensure scalable, secure, production-ready backend APIs and platform tooling.

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 and run engineering delivery end-to-end: own planning cadences, track projects, surface risks, command incident responses and run blameless RCAs, own delivery metrics, coach and grow engineers, run hiring pipeline, and enable the founder by removing operational load.

The Engineering Manager will lead and grow engineering teams working on core infrastructure, drive hiring, and ensure alignment in delivery between teams across disciplines.

The Engineering Manager will lead a team to develop scalable software solutions, ensuring technical excellence and driving product innovation. Responsibilities include mentoring, overseeing code quality, and collaborating with cross-functional teams.

Lead technical delivery and integration efforts for a SaaS platform: act as technical SME for APIs, support presales and customer onboarding, triage integration issues, create documentation, and align engineering with sales and operations to scale integrations and improve SLAs.

Leads DevOps and Data Engineering teams supporting AWS infrastructure, CI/CD, observability, incident response, data platforms, and pipelines. Sets platform strategy, mentors engineers, guides architecture, and manages technical roadmaps. Owns SOC 2 audits and penetration testing, coordinates vendors and auditors, improves security and reliability, and coaches teams on validating AI-assisted development. This player-coach role requires hands-on technical contribution and cross-functional collaboration in a remote environment.

Lead and grow a team building shared test systems, production-like environments, workload testing capabilities, failure-mode validation, and engineering test frameworks. Drive system-level coverage, cross-team alignment, measurable improvements in pre-production confidence, and integration of validations into continuous or release pipelines. The role requires strong distributed-systems expertise, internal platform delivery experience, organizational influence, and the ability to translate production incidents into preventative test coverage.