Top Remote Engineering Director Jobs

Leads TTEC Digital’s GCP data engineering practice, setting architecture and engineering standards while overseeing enterprise data platform delivery. Designs scalable ingestion, lakehouse, streaming, governance, security, GenAI, vector search, and RAG infrastructure using Google Cloud. Partners with executives and clients on solution delivery and presales, establishes CI/CD, Terraform, testing, monitoring, and FinOps practices, and manages, mentors, and scales agile data engineering teams.

Lead technical strategy for a 50–150+ engineer organization, establish architecture and engineering standards, drive delivery, and partner with executives on technology investments. Embed production-grade generative AI, LLMs, agentic workflows, and ML automation into engineering. Own AI platforms, distributed systems, cloud-native backend architecture, modernization initiatives, microservices migrations, and engineering transformation while ensuring scalable, reliable outcomes.

Lead strategy and execution of enterprise-scale AI/ML and generative AI solutions for claims, eligibility, and benefits. Define AI engineering roadmap, build LLM and agentic systems, scale cloud-native AI workloads, enforce responsible AI governance, partner with product and business stakeholders, manage budgets, and hire and mentor a global engineering organization to deliver measurable business outcomes.

Lead the Leverage Engineering Pod to increase delivery velocity across Product & Engineering. Own strategy, roadmap, budget, and outcomes for shared frameworks, developer tooling, and partner delivery. Stand up Solutions Engineering, manage agency partners and SOWs, drive adoption of shared services, modernize the development lifecycle (AI-assisted to agentic), hire and develop leaders, and measure the Pod's multiplier effect on engineering throughput.

Lead and scale core cloud and bare-metal infrastructure including SRE, global and HPC networking, and distributed storage. Define SLOs/SLAs, incident response, observability, and IaC. Architect InfiniBand/RoCE networks and high-performance storage to support large GPU workloads. Hire and mentor managers and senior ICs, partner with product and program teams to forecast capacity and drive reliability, throughput, and low-latency infrastructure at scale.

Lead multiple product-focused engineering teams to design, build, deploy, and operate customer-facing web and service platforms. Mentor engineers, work with product managers, improve engineering practices, break monoliths into microservices, deploy solutions to AWS, and drive scalability, resilience, and velocity using modern frameworks, Big Data and machine learning techniques.

Owns Azure cloud infrastructure, Kubernetes, DevOps, infrastructure-as-code, CI/CD, GitOps, secrets management, databases, data warehouses, observability, and reliability. Leads AI-assisted infrastructure engineering standards and practices, manages and mentors engineers and engineering managers, contributes hands-on to architecture, coding, incident response, and platform improvements, and partners with Security and Corporate IT.

Lead and grow the engineering org for a perimeter-safe data lineage and migration-impact platform. Own delivery, quality, security readiness, CI/CD, testing, infrastructure, and roadmap execution. Hire and retain engineers, drive secure perimeter/on-prem deployments and SOC 2 readiness, and apply practical AI across engineering practices.

Lead and grow the engineering organization, drive architecture and roadmap with the CTO, recruit and develop engineers, ship production software, establish processes for speed and quality, and collaborate with clinical stakeholders to translate needs into product.

Senior engineering leader responsible for multi-cloud (GCP/Azure) platform strategy, architecture, and operational excellence. Lead and grow cloud, SRE, and platform teams, own IaC and GitOps practices, observability, disaster recovery, FinOps, and cloud security/compliance. Drive Internal Developer Platform, vendor relationships, and AI-enabled cloud tooling while partnering with product, security, data, and application teams.

Lead multiple engineering teams to deliver large-scale, secure AI-enabled systems. Define engineering strategy and roadmap, drive agentic AI transition, manage projects, optimize processes, mentor senior technical staff, and collaborate with product and executive leadership to protect organizations from adversarial AI threats.

Manage engineering staffing, capacity, delivery coordination, and day-to-day operations for engineering leadership. Own vendor/third-party technical agreements lifecycle, renewals, and operational vendor relationships. Run planning, reporting, and administrative tasks so the engineering leader focuses on technical vision.

Lead a 50+ distributed engineering organization to own identity, authentication, authorization, and profile services. Set technical vision, drive adoption of OAuth/OIDC and OpenFGA, improve reliability and incident response, mentor senior managers, contribute hands-on code and prototypes, and promote safe use of AI-assisted development tools.

Lead and scale Boulevard's data platform engineering organization to build reliable, secure, and performant data pipelines, governance, ML/AI infrastructure, and customer-facing data products. Partner with Product and Insights to deliver reporting and analytics, enforce data quality and HIPAA-compliant security standards, and drive strategic roadmap and operational excellence.

Leads development and commercialization of drug-device combination products, including autoinjectors, pre-filled syringes, and multidose pens. Manages requirements, design controls, risk management, verification and validation, human factors, design transfer, regulatory submissions, vendors, test laboratories, and Design History File deliverables. Coordinates cross-functionally with CMC, quality, regulatory, manufacturing, clinical, commercial, and supply chain teams while ensuring compliance with applicable FDA, ISO, IEC, and ASTM standards.

Lead strategic build-versus-buy engineering initiatives within Elastic’s IT organization. Design and deliver internal platforms using Elasticsearch, Kibana, Elastic ML, AI, and cloud technologies across developer productivity, FinOps, IT service management, and enterprise efficiency. Establish architecture and engineering standards, partner cross-functionally with IT, Security, Platform Engineering, Finance, and other teams, and validate Elastic products through internal production systems.

Leads multiple engineering teams responsible for platform, infrastructure, identity, observability, reliability, and foundational architecture. Sets technical strategy, roadmap, standards, and architectural direction while ensuring predictable delivery, security, quality, scalability, and operational excellence. Partners with Product, Security, CloudOps, and other leaders; develops engineering directors, managers, and senior technical staff; and drives talent strategy, modernization, developer productivity, and executive communication.

Lead the technical side of enterprise sales for autonomous systems and physical AI customers. Own discovery, architecture reviews, demonstrations, proofs of concept, evaluations, deployments, and expansions. Translate customer workflows into solutions, address technical objections, and collaborate with Product and Engineering. Build scalable sales engineering processes, technical content, evaluation frameworks, and operating models while supporting strategic automotive OEM and enterprise opportunities.

The role involves analyzing Data Center trends, translating customer needs into product strategies, defining system architectures, and ensuring stakeholder collaboration for project success.

Leads enterprise analytics engineering by establishing statistical standards, validation and QA practices, measurement frameworks, reporting standards, governance, reusable data pipelines, automation, and production-grade analytics solutions. Connects Commercial, Medical, Market Access, and other teams to enable scalable, trusted, compliant, and decision-focused analytics. Requires strong technical and cross-functional leadership, analytics infrastructure expertise, and the ability to build enterprise capabilities from ambiguity.

Lead and manage the Electrical Design Engineering team for 30+ facilities, deliver HV/MV/LV electrical designs for capital projects and operations, develop standards, lead FEED/FEL, manage external engineering partners, mentor SMEs, and drive reliability, risk assessments, and continuous improvement initiatives.

Lead and transform the QA function for an AI-accelerated software organization. Define technical quality strategy, CI/CD gates, test-data approaches for PHI, and automation across unit, integration, and end-to-end testing. Build and grow a high-performing quality engineering team, set release standards and exit criteria, integrate AI/LLM evaluation with MLEs, and provide auditable metrics for leadership and regulators.

Lead engineering for Consumer Intelligence & Engagement, owning personalization, content management, product discovery, promotions, and communications. Define technology strategy, architecture, and AI integration; ensure GraphQL/APIGEE APIs, SFCC and Sanity implementations, performance, testing, and platform health. Build and mentor senior engineering teams, partner with product and business stakeholders, and drive delivery, standards, and experimentation across DTC commerce capabilities.

Leads enterprise semantic and knowledge engineering for NovaOS, including ontologies, taxonomies, knowledge graphs, semantic models, metadata standards, and governance. Partners with AI, data science, product, and engineering teams to enable AI reasoning, RAG, search, analytics, interoperability, and enterprise intelligence. Evaluates semantic technologies, establishes quality controls, and mentors semantic and knowledge engineering teams.

Leads enterprise strategy, architecture, governance, and implementation for semantic layers, knowledge graphs, ontologies, taxonomies, and AI-enabled knowledge capabilities. Partners with AI, data science, product, engineering, and business teams to enable trusted AI, analytics, search, interoperability, and reusable knowledge. Establishes metadata and knowledge lifecycle standards, advances RAG and semantic search innovation, and builds a high-performing team of semantic and knowledge engineers.