Director of Engineering, Internal Platforms

Job Title: Director of Engineering, Internal Platforms

Job Type: Full-time

Location: Remote

The Role

We’re looking for a highly technical, hands-on Director of Engineering to lead the architecture, development, and scalability of the internal platforms powering our operations, data workflows, and business ecosystem.

You’ll own the engineering direction of mission-critical systems while overseeing quality engineering, ensuring our platforms are reliable, scalable, and built for automation.

This role requires a strong technical leader who stays close to the code, drives architectural decisions, and leverages AI-powered tools and modern engineering practices to accelerate development. You’ll lead engineering teams, establish technical standards, and deliver systems that simplify complex operations at scale.

What You’ll Be Doing

• Lead Internal Platform Engineering: Own the architecture, development, and scalability of platforms supporting operational workflows, expert lifecycle management, data collection, analytics, and business processes.
• Build Intelligent Systems: Integrate LLMs, AI agents, and automation into internal platforms to streamline workflows, reduce manual effort, and improve operational efficiency.
• Drive Platform Architecture: Design scalable APIs, distributed services, event-driven systems, and integrations connecting onboarding, assessments, subscriptions, data pipelines, and financial workflows.
• Own Quality Engineering: Lead QE strategy, automated testing frameworks, CI/CD quality gates, release validation, and production reliability across platforms.
• Advance Testing Automation: Implement AI-assisted testing, automated regression coverage, and evaluation frameworks for traditional and AI-powered applications.
• Stay Hands-On: Drive technical design, contribute to implementation, review code, troubleshoot production issues, and resolve complex engineering challenges.
• Improve Engineering Productivity: Introduce AI-assisted development workflows, developer tooling, and automation to accelerate delivery while maintaining engineering quality.
• Lead Engineering Teams: Mentor engineers, establish technical standards, drive execution, and foster a culture of ownership, experimentation, and accountability.
• Partner Cross-Functionally: Work with Product, AI/ML, Data, and Operations to translate business needs into scalable technical solutions.

What We’re Looking For

• 10+ years of software engineering experience, including 4+ years in engineering leadership roles.
• Strong hands-on development expertise in Python, TypeScript, or similar languages, with recent experience building and debugging production systems.
• Deep experience in platform architecture, including distributed systems, microservices, APIs, event-driven architectures, and workflow orchestration.
• Practical experience with AI-powered systems, including LLM integrations, agentic workflows, RAG, and evaluation frameworks.
• Experience leveraging AI development tools and automation to improve engineering productivity and delivery.
• Strong Quality Engineering expertise, including automated testing, CI/CD pipelines, API and end-to-end testing, and production reliability.
• Cloud infrastructure proficiency with AWS, GCP, or Azure, Kubernetes, databases, observability, and DevOps practices.
• Experience building internal platforms supporting operational workflows, data pipelines, analytics, or complex business processes.
• Proven technical leadership, with the ability to mentor engineers, make architectural decisions, and deliver in fast-paced, ambiguous environments.

Preferred Qualifications

• Experience in AI research labs, AI-native companies, or high-growth technology startups.
• Experience with human data platforms, including expert management, data annotation, human-in-the-loop workflows, data curation, and AI evaluation pipelines.
• Familiarity with LLM training and evaluation workflows, including human feedback, preference data, and model benchmarking.
• Experience with agent orchestration frameworks such as LangGraph, Temporal, or similar technologies.
• Experience building internal developer platforms, shared infrastructure, or self-service engineering tools.
• Familiarity with AI-assisted testing, automated test generation, and evaluation of nondeterministic systems.

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $280,000 –$350,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Originally posted on Himalayas