Top Remote Tech Lead Jobs

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 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 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.

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 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.

Lead a team to enhance Cengage Learning Platforms by implementing AI-first strategies, improving software delivery processes, and ensuring product quality.

Lead and grow a small ML engineering team while staying hands-on: design and ship GenAI features, build agentic LLM systems (NER, classification, retrieval, summarization), partner with PM and engineering, scope ambiguous problems, and reduce COGS through ML automation.

Lead a small team as a Staff Engineer Tech Lead, contributing to technical direction and managing engineers to deliver scalable software systems.

The Oracle Tech Lead will implement and enhance Oracle applications, providing technical solutions and supporting client requirements through effective project management and programming skills.

Own the technical direction, architecture, and delivery of an LLM-powered chatbot. Lead agent workflows, tool integrations, memory strategies, prompt engineering, evaluation, reliability, scalability, and cost optimization. Mentor engineers, coordinate complex initiatives, collaborate with product stakeholders, and translate ambiguous business needs into effective AI solutions while exploring emerging AI techniques.

Lead a 5-6 person engineering team to build a cloud-native, AI-driven Coordination of Benefits product. Own architecture, roadmap, production releases, hiring, coaching, and engineering standards. Collaborate with product, ML, UX, QA, and operations to design rules engines, claims pipelines, and scalable secure systems for regulated healthcare data.

As a Lead Product Manager, you will drive the development and delivery of innovative B2B SaaS products, conduct market research, communicate vision, and manage cross-functional teams.

Lead technical direction and architecture for a software team, write production code, mentor engineers through reviews and pairing, partner with product to align roadmap and technical plans, resolve technical risk and tech debt, and establish engineering standards and tooling.

Lead architecture and evolution of Cardlytics' AWS-based data compute platform and lakehouse. Define standards for batch, streaming, ML, and AI workloads; build semantic layer, feature store, and governance. Partner with analysts and engineers, drive CI/CD (Terraform, GitHub Actions), monitoring, security, cost governance, and incident response while mentoring teams and shaping platform strategy.

Lead and own end-to-end LLM inference infrastructure, direct a small engineering squad, design and deliver high-throughput low-latency serving systems, remain hands-on (Python/C++/CUDA), solve inference-scale problems (KV caching, RDMA, NVMe, multi-tier GPU memory), and mentor engineers.

Lead the design and implementation of systems for a real-time ML-based advertising stack, mentor engineers, and drive architectural direction.

The Progress Lead will oversee the Degree Progress product, focusing on systems' correctness and scalability, algorithm integration, and testing frameworks to ensure reliability in the student experience.

Lead the Plan team responsible for degree planning, pathways, scheduling, and registration. Own technical direction, ensure reliability and performance during peak registration, design systems for concurrency and scale, define testing strategies for high-load scenarios, and mentor engineers to drive code quality and engineering best practices while evolving the product toward career-focused planning.

Hands-on Engineering Manager who will lead and contribute code, modernize legacy .NET/C# and Angular systems, build new Python/Node/React features, adopt AI-agent workflows, enforce testing/CI-CD/IaC, manage technical debt, hire and coach engineers, and maintain runbooks, security guardrails, and operational automation for cloud-native financial services products.

Lead development of cloud data platforms and end-to-end data pipelines using AWS/Snowflake and big-data technologies (Spark, Hive, Iceberg). Automate builds and deployments with Bash/Python shell scripting, apply CI/CD and Medallion Architecture, perform data modeling and warehousing, and collaborate across teams. Pharma/AbbVie experience preferred.

Lead engineering as a cofounder: build the MVP homeowners platform and credit-card origination flow, choose tech stack, architect core infrastructure, recruit and grow the engineering team, define culture, and travel to meet distributed team members.

As a Senior Machine Learning Engineer (Tech Lead), you'll lead the ML technical direction, design architectures for loco-manipulation, mentor team members, and manage cross-functional partnerships while writing production-quality code.