Top Director Of Engineering Jobs

Lead DigitalOcean Managed PostgreSQL: own strategy, architecture, reliability, scalability, and AI-native integration. Build hyperscaler-grade reliability, scale Advanced Edition for large workloads, partner across Product/GTM/SRE, and grow a high-performing global engineering organization.

Lead and scale a multi-functional platform engineering organization (SRE, Operations, Data & AI Platform, Database Engineering). Own the cloud platform and infrastructure-as-product, drive multi-quarter initiatives to improve developer velocity and reliability, solve scalability and system reliability problems, partner with product and engineering leaders, manage vendors and cost governance, and raise engineering quality and operational excellence.

Leads a founding engineering team building a new AI-powered product from the ground up. Owns technical strategy, architecture, delivery, quality, reliability, and AI-native capabilities. Hires, coaches, and develops engineers, tech leads, and managers while establishing engineering standards, team structure, and culture. Partners with Product, Design, Security, Operations, Sales, and Customer Success to align roadmaps, meet compliance requirements, incorporate customer feedback, and deliver scalable, production-ready systems.

Leads the Search Engineering organization supporting Grainger’s digital experiences. Responsibilities include owning search strategy and roadmap, overseeing indexing, retrieval, ranking, and ML-powered search capabilities, managing engineering managers and senior managers, developing talent, improving agile delivery and operational rigor, and championing DevOps, CI/CD, cloud-native architecture, observability, and scalable systems. The role partners closely with Product, Architecture, and Data Science and represents Search engineering with executive stakeholders.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Leads engineering, project management, right-of-way, reliability, business operations, and technical functions supporting major electric distribution capital programs. Oversees engineering staff and contractors, establishes design standards, policies, procedures, budgets, and work plans, manages engineering IT systems and contracts, supports regulatory proceedings, develops technical solutions, and coordinates distribution initiatives across the operating company.

Leads multiple engineering domains for a regulated equity-plan services platform. Designs and develops distributed systems, Spring Boot microservices, Kafka pipelines, AWS infrastructure, and SQL/NoSQL data layers. Owns architecture, production reliability, automated testing, cloud deployment, and cross-functional technical strategy. Manages engineering teams, drives stakeholder consensus, and establishes governance for agentic AI-enabled software delivery, responsible AI controls, resilience, security, and incident response.

Leads engineering teams building responsible, scalable AI systems and products. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, observability, and production deployment. Makes build-versus-buy decisions across AI technologies, develops LLM optimization techniques, shapes foundational AI roadmaps, and recruits and mentors engineering talent. Partners with research, engineering, product, and program teams to deliver high-performance AI capabilities.

Leads enterprise data and AI engineering strategy across business units. Responsibilities include modernizing cloud data platforms, establishing governance and semantic layers, enabling self-service and AI-powered analytics, building reusable data products and models, and supporting machine learning, generative AI, RAG, and agentic AI architectures. The role manages data engineering, architecture, AI engineering, and analytics enablement teams while partnering with executives and business stakeholders to deliver trusted, scalable data capabilities.

Lead and scale software engineering teams building SaaS platforms. Set technical strategy, ensure best practices (architecture, CI/CD, security), drive delivery and KPIs, partner with Product and cross-functional leaders, and develop engineering talent while introducing AI/data capabilities to improve platform scalability, reliability, and business outcomes.

Leads regional engineering and facilities operations across multiple buildings. Responsibilities include supervising engineering staff, supporting integrated facilities management, managing service center, security, data management, and EHS teams, developing strategic plans, mitigating facility risks, administering compliance programs, implementing CMMS processes, creating training programs, and overseeing energy management and utility reporting initiatives.

Provide strategic and technical leadership for engineering teams building AI-enabled, cloud-native analytics applications. Hire and develop talent, define technical roadmaps, establish engineering and AI governance, drive DevSecOps/MLOps practices, deliver secure scalable solutions on cloud platforms, and communicate progress to executive stakeholders.

Lead hotel engineering operations, managing building systems, preventive maintenance, inspections, safety compliance, critical equipment certification, engineering projects, budgets, vendors, and team development. The role oversees HVAC, electrical, plumbing, fire life safety, generators, elevators, and emergency systems while supporting guest satisfaction and efficient property operations.

Leads and mentors a multidisciplinary engineering team while providing technical direction across electrical, electronics, and software disciplines. Oversees product development from concept through manufacturing, manages engineering priorities and resources, and ensures robust verification, validation, configuration, and development practices. Partners with manufacturing, quality, program management, and senior leadership to guide technical and business decisions. The role is hands-on and suited to an experienced engineering leader comfortable developing customized hardware and software products in a small organization.

Leads resiliency and reliability engineering programs, identifying and mitigating technical risks across delivery. Builds scalable, highly available distributed systems and cloud-based services; drives observability, incident response, disaster recovery, chaos engineering, and reliability initiatives. Owns technical vision, coordinates large cross-functional teams, removes blockers, and delivers business impact. Develops TPM talent, strengthens the TPM practice, and influences product, engineering, design, and data science decisions in a regulated environment.

Leads a 12-person application security practice conducting code audits, vulnerability research, and secure design reviews. Oversees technical delivery, client relationships, project staffing, utilization, profitability, recruiting, and team development. Provides hands-on technical direction across source-code security work, determines investments in tooling and methodologies, and integrates AI-assisted auditing and research into team workflows. The role also owns practice P&L and supports engineers’ conference, publication, and open-source contributions.

Leads integrated engineering teams and the ground systems portfolio supporting Space Development Agency space vehicles. Oversees technical execution, cost, schedules, development, testing, deployment, operations, risk, contract changes, business planning, and customer relationships. Coordinates ground integrated product teams across multiple programs, drives continuous improvement, develops product and technology strategies, and ensures delivery against firm-fixed-price contract requirements.

Leads Ripple’s infrastructure engineering organization, overseeing multi-cloud infrastructure, Kubernetes platforms, developer experience, and reliability engineering. Responsibilities include setting technical strategy and roadmaps, driving multi-region resilience, operational excellence, security and compliance, cloud cost efficiency, observability, and infrastructure automation. The role manages multiple teams and managers, provides hands-on architectural leadership, partners with executives and security teams, and scales the organization through hiring, mentoring, and leadership development.

Lead Statara’s Data Products & Engineering function, owning Snowflake-based data infrastructure reliability and evolution, solution architecture for client engagements, pre-sales technical support, cross-functional alignment, and team leadership to deliver scalable data and analytics solutions.

Leads end-to-end AI, ML, generative AI, and agentic AI initiatives from opportunity assessment through production deployment and monitoring. Designs multi-agent systems, RAG and GraphRAG solutions, evaluation and safety frameworks, and AI-powered applications using the enterprise platform. Sets technical standards, mentors AI talent, partners with business and technology stakeholders, and measures delivered value. The role also drives responsible AI practices and AI-assisted engineering, with limited travel under 10%.

Leads Agent Assist, Workflow, and Tooling engineering teams; sets technical strategy; architects scalable customer-care systems; delivers AI/ML solutions; oversees modernization, DevOps, security, reliability, roadmap planning, and cross-functional execution. Builds and mentors engineering managers and senior engineers while driving operational excellence and improved customer and agent experiences.

Leads and scales multidisciplinary engineering teams across electrical, mechanical, embedded, firmware, and test disciplines. Oversees system architecture, prototyping, design reviews, regulatory compliance, reliability, and high-volume manufacturing from EVT through PVT. Aligns engineering roadmaps with product, operations, supply chain, and business goals while managing talent, budgets, resources, and operational processes. Drives quality, manufacturability, launch predictability, and commercial production of complex hardware products and semiconductor chips.

Leads software engineering across a technical area, overseeing technology implementations, governance, resources, budgets, and complex initiatives. Establishes responsible agentic AI engineering and SDLC automation practices, including validation, security, resiliency, quality controls, and measurable outcomes. Delivers reusable cloud-native solutions, influences senior stakeholders, and leads hiring, talent development, and cross-functional engineering teams. Preferred experience includes Spring, Spring Boot, Python FastAPI, React or Angular, AWS, Azure, Cloud Foundry, distributed microservices, domain modeling, and financial services.

Leads enterprise software engineering strategy, AI and machine learning adoption, cloud platform architecture, legacy modernization, and generative AI deployments. Oversees engineering managers and principal engineers, establishes governance and operational standards, mentors technical teams, and aligns technical roadmaps with executive business goals. The role also drives ethical AI practices, MLOps governance, scalable software delivery, organizational hiring strategies, and cross-functional technology transformation across healthcare systems.

Leads architecture, development, scalability, security, and performance of enterprise data platforms and pipelines. Manages engineering teams, cross-functional initiatives, cloud and data modernization migrations, technology budgets, resources, vendors, and complex programs. Establishes engineering standards through coaching and talent development while partnering with data, product, governance, and business stakeholders. Oversees distributed processing, data governance, data quality, database design, cloud-native architectures, and platform resiliency.