Top Engineering Manager Jobs

Lead a polyglot team to define and deliver end-to-end serverless APM across AWS, Azure, and GCP. Drive auto-instrumentation, OpenTelemetry and Datadog-native tracing, expand managed-service coverage, collaborate with Product and cross-functional teams, and prioritize developer experience, API design, and reliable distributed tracing systems.

Lead and grow a team of Android engineers to deliver high-quality native Kotlin apps. Own planning, technical roadmaps, code quality standards, and cross-functional delivery while remaining ~30% hands-on contributing to the Android codebase and mentoring engineers.

Lead global Field Applications Engineering engagements as primary technical liaison for key customers. Manage FAE teams, define system architecture and memory configurations, drive design wins, resolve integration and performance issues, and align cross-functional partners to enable revenue and customer adoption.

Lead and grow a DevOps team responsible for CI/CD, deployment, observability, IaC, and runtime infrastructure. Drive platform reliability with SLOs, build self-service automation, evolve release engineering and supply-chain security, and partner with Security, Product, and application teams to deliver secure, scalable infrastructure.

Lead and grow a Core Infrastructure engineering team owning production-critical systems. Drive execution, reliability, observability, disaster recovery, and cost efficiency. Partner across engineering, security, and data teams to reduce legacy complexity, convert operational pain into durable solutions, and enable AI-assisted engineering workflows while maintaining high standards and team development.

Manage software development teams and application support, oversee multiple projects, ensure quality and compliance, develop staff, lead incident response including on-call rotation, drive root-cause analysis and system improvements, and deliver projects from inception through execution.

Manage development teams and application support, provide after-hours operational leadership and on-call incident response, deliver projects from inception to execution, drive root-cause analysis and systemic improvements, coach and develop high-performing teams, and use distributed and mainframe technologies and observability tools to maintain production reliability.

Lead and develop a Composites Center of Excellence quality team to ensure product quality and compliance. Oversee quality engineering, inspections, and continuous improvement; create quality strategies, cost proposals, and QMS coaching; manage resources, stakeholder relationships, and employee development to support program and business objectives.

Lead software engineering for the E-7 international portfolio, managing multiple teams across the full software lifecycle (requirements, design, implementation, integration, test, delivery, sustainment), align roadmaps with customers, oversee CDRLs, metrics, change boards, and deploy engineering best practices.

Manage and lead a systems engineering integration and test team for PAC-3 seeker development and production. Ensure technical quality across analysis, integration, and algorithm development; coordinate with program stakeholders, primes, and government; define scope, bid work, monitor schedules/financials, hire and develop staff, and deploy engineering best practices.

Manage and coach engineering managers and senior engineers to design, build, and deliver enterprise-grade GenAI and software solutions. Drive LLM/RAG-based solution design and AI innovation, ensure architecture, security, scalability, and non-functional requirements, remove delivery impediments, partner with product and architects, manage vendors, resources, hiring, and performance.

Lead and mentor engineering managers and senior engineers to design, build, and deliver scalable GenAI-enabled enterprise solutions. Ensure architecture, security, stability, and non-functional requirements, remove delivery impediments, collaborate with product and architects, manage vendor relationships, and drive AI innovation and engineering productivity across teams.

Lead and coach engineering managers and senior engineers to design, build, and deliver enterprise-grade GenAI solutions. Ensure architecture, security, scalability, and non-functional requirements are met; remove delivery impediments; collaborate with product, architects, vendors, and stakeholders; drive AI innovation (LLMs, RAG, prompt engineering); manage resources, hiring, and performance to meet business objectives.

Lead a data engineering team building pipelines, transformations, and analytics infrastructure in Azure/AWS/Snowflake. Champion spec-driven, AI-assisted development, ensure secure scalable systems, govern AI-generated code, and partner with product and platform teams.

The Software Engineering Manager will oversee software engineering and QA teams, ensuring project success, coaching team members, and collaborating with product and technology leadership.

Lead and grow an AI/ML engineering team to design, build, and deploy production-grade ML/AI solutions (NLP, NLU, deep learning, CV, ASR). Oversee architecture, MLOps, experiments, model monitoring/versioning, cross-functional collaboration, and ethical AI practices to translate research into scalable business solutions.

Lead and grow the Inference Orchestration engineering team to design, build, and operate Kubernetes-based AI infrastructure at scale. Drive scheduling, GPU utilization, topology-aware placement, checkpoint/restore for long jobs, fault tolerance, model distribution, security isolation, and cross-functional delivery to meet performance, cost, and reliability goals.

Lead a team of product managers to define and execute finance transformation and automation across accounting, treasury, reconciliation, and financial reporting. Drive roadmap, stakeholder alignment with finance and engineering leadership, ensure SOX-compliant change management, and identify AI-driven opportunities for scalable finance infrastructure.

As a Manager of Cloud Software Engineering at Coupa, you will lead AI platform DevOps, manage global teams, and oversee agile delivery while ensuring technical quality and innovation.

Lead a team developing AI/ML solutions for vehicle motion control and estimation. Oversee design, implementation, and deployment of embedded AI systems, mentor engineers, coordinate cross-functional teams, ensure project delivery using agile practices, and drive adoption of AI/ML across the organization.

Lead an AI engineering team to design, build, deploy, and optimize large-scale generative AI systems. Oversee foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and make strategic build-vs-buy decisions. Drive technical vision, roadmap, and talent development while ensuring scalable, cost-efficient, and responsible AI production systems.

Lead and grow a data engineering team, define data platform architecture and reliability (warehouse, ingestion, transformations, orchestration), set engineering standards, partner cross-functionally to support analytics and ML, and translate technical decisions for executive stakeholders.

Manage development teams and projects for application programming and support, overseeing design, delivery, installation, maintenance, quality compliance, release management, and ensuring applications meet business needs while developing staff and promoting Agile practices.

Manage a team of developers, data analysts, and data modelers supporting an Enterprise Data Warehouse and ~80 downstream applications. Oversee development projects, application support, quality compliance, budgets/Clarizen tasks, and ensure systems meet business and regulatory reporting requirements while developing team capabilities.

Manage and mentor software engineering teams delivering embedded electronic warfare systems. Collaborate with systems, hardware, and test teams through planning, requirements, design, development, integration, and testing. Ensure engineering process adherence, guide staff through complex issues, and provide functional/technical leadership for medium-to-large groups. Active Secret clearance required.