Top Remote Tech Lead Jobs

Leads architecture and hands-on engineering across a futures commission merchant platform, including market data, order routing, settlement, reporting, risk, and liquidation. Drives replatforming away from legacy vendors, improves reliability and technical quality, partners with product, risk, operations, finance, and compliance, and mentors engineers. Requires extensive backend distributed-systems experience, direct FCM or derivatives expertise, regulated-finance experience, and proficiency in Go, Java, or similar technologies.

Design, build, deploy, and maintain resilient, scalable production systems for Toast’s retail customers. The role sets long-term technical architecture and strategy, communicates technical direction, mentors senior engineers, improves engineering productivity, diagnoses performance issues, and drives initiatives amid ambiguity. Engineers collaborate directly with retail customers, visit stores, understand operational workflows, and use AI tools to improve development velocity and quality.

Own the technical strategy, architecture, development, configuration, integrations, data model, and roadmap for the company’s Salesforce platform. Lead Salesforce consultants and developers, oversee delivery standards and release governance, manage vendors, translate business requirements into scalable solutions, and align Salesforce with ERP, IT, data, and organizational priorities. The role also includes stakeholder and executive partnership, technical decision-making, and AI enablement or product integration.

Lead ServiceNow implementations for enterprise customers: design, develop, integrate, and maintain scalable ServiceNow solutions (ITOM, Discovery, Service Mapping, AIOps). Build custom scripts and integrations, troubleshoot, participate in SCRUM, and work directly with customers to deliver projects on time.

Lead product vision and execution for internal, data-intensive technical initiatives. Improve and future-proof datasets, shared services, and platforms. Partner across engineering, data science, analytics, and product to translate needs into requirements, prioritize work, drive cross-functional delivery, define success metrics, and communicate roadmap and risks to stakeholders.

Lead a team building distributed microservices and full-stack systems for Capital One Shopping. Drive cloud-based solutions, mentor engineers, evaluate and write code, collaborate with product managers, and adopt emerging technologies to meet regulatory and customer needs.

Lead and grow a team of ML engineers building applications for a graphically intensive simulation platform. Manage stakeholders, translate customer needs into technical requirements, prioritize between off-the-shelf, open-source, and greenfield solutions, coordinate cross-functional delivery, and oversee the full ML lifecycle from data infrastructure to deployment. Foster team ways of working and performance.

Lead the GPU cluster infrastructure team while remaining at least 50% hands-on. Own technical direction, architecture, scheduling, storage, security, infrastructure as code, observability, incident response, and platform roadmap. Manage hiring, coaching, project prioritization, and provider and researcher escalations. Operate production Kubernetes GPU clusters across multiple providers and improve performance, reliability, fault tolerance, and workload isolation for large-scale AI research.

Design, develop, test, and deploy supply chain software for inventory, warehouse, and fulfillment systems. Lead technical decisions, mentor engineers, coordinate cross-functional Agile projects, decompose work, delegate tasks, and promote strong development and testing practices. Build monitoring systems that ensure business-process correctness and support high-volume, data-intensive applications.

Design, build, deploy, and operate a high-concurrency, resilient configuration and publishing platform. Lead cross-team projects, set technical direction, improve engineering productivity, optimize performance, and maintain end-to-end ownership of distributed systems at scale.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

Leads the design, development, and delivery of scalable web applications using React.js and Node.js. Defines architecture, develops REST APIs and microservices, mentors engineers, conducts code reviews, troubleshoots production issues, and ensures application performance, security, scalability, and reliability. Collaborates with Product, QA, DevOps, and Architecture teams while supporting testing, CI/CD, sprint planning, estimation, and technical improvements.

Lead maintenance, troubleshooting, and repair activities for wind turbines, particularly GE platforms. Perform advanced mechanical, electrical, and hydraulic diagnostics; mentor junior technicians; implement preventative maintenance; coordinate site activities; monitor turbine performance; support inventory and procurement; and participate in continuous improvement. The role requires working at heights and in adverse weather, climbing 100 meters multiple times daily, providing scheduled on-call support, and living within 45 minutes of the site.

Lead full‑stack engineering work to design, build, and maintain core product features (React/Next.js, Node.js, Firebase, GCP). Drive architecture, deployment, testing, performance, and developer experience. Mentor engineers, conduct code reviews, collaborate with CTO and product, support customers, and help scale the product and engineering culture.

Lead technical engagements with strategic ISV partners to design, prototype, and ship production agentic and generative AI systems. Drive adoption of NVIDIA stack (NeMo, TensorRT-LLM, etc.), set account objectives and timelines, coordinate cross-functional teams, and feed partner insights into Product, Engineering, and Research to shape roadmaps and deliver scalable enterprise deployments.

Lead the design and implementation of critical Safety AI initiatives, focusing on real-time perception systems for edge devices and optimizing models for production deployment in safety-critical environments.

Provides hands-on technical leadership for complex software architecture, design, development, modernization, and delivery. Partners across engineering, product, and architecture teams; mentors engineers; reviews designs and code; guides distributed, event-driven, cloud-native solutions; and promotes testing, CI/CD, observability, security, and operational excellence. The role remains an individual contributor while influencing technical decisions, managing dependencies, solving ambiguous problems, and evaluating emerging Generative AI and Agentic AI capabilities.

Lead architecture and technical direction for an AI-first SaaS product (Growth Studio). Define scalable services, APIs, data flows, and AI-enabled workflows; guide integrations, run architecture/code reviews and POCs; mentor engineers; produce technical documentation; and partner with product, UX, QA, and ops to deliver reliable, secure, and maintainable platform capabilities for GovCon customers.

Lead commercial technology and data initiatives for EMEA commercial teams: manage cross-functional projects, drive adoption of SFA/TPM/CRM tools, ensure compliance (SOX, GDPR), perform business analysis, change management, stakeholder engagement, and SLA/vendor management.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Lead enterprise API and event-driven integration delivery using OpenAPI, REST, MuleSoft, Kafka, and related platforms. Establish API security, lifecycle, contract testing, schema registry, and workflow automation standards. Manage offshore delivery, review code and designs, troubleshoot critical integrations, remove blockers, and report progress and risks to engineering leadership. The role requires extensive integration engineering and technical leadership experience, including regulated-industry expertise.

Own fractional people operations for a distributed international team. Responsibilities include multi-country payroll, contractor classification and tax documentation, recruiting pipeline management, onboarding and offboarding systems, access management, PTO tracking, SOPs, offer templates, and policy documentation. The role requires independently building scalable HR processes, using automation and AI to reduce recurring work, and coordinating across US, Central Asian, Georgian, and Latin American time zones.

Lead architecture and delivery of a production AI media platform: build reproducible, versioned generative pipelines (image/video), train LoRAs, integrate control techniques (ControlNet, IP-Adapter, inpainting), implement automated QC versus product references, deploy internal GPU-backed tools and one-click UIs, and own the technical roadmap with design stakeholders.

Lead technical projects as a hands-on developer, mentor engineers, and collaborate with teams to design solutions for financial data management.

Lead and guide development teams, ensure successful project delivery, translate business requirements into applications, uphold best practices in software development and DevOps.