Director of Engineering, Internal Platforms

Compensation context

Listed annual salary range: $450,000–$800,000/year. The employer’s base salary is stated separately in the Compensation & Benefits Notice below; these figures differ and should not be treated as the same pay guarantee.

Job Title: Director of Engineering, Internal Platforms

Type of job: full-time

Location: Remote

About the role

micro1 wants a deeply technical Director of Engineering who still codes, to lead the design, build, and scaling of the in-house platforms behind its operations, data workflows, and wider business.

You will set engineering direction for business-critical systems and oversee quality engineering, so the platforms are dependable, scalable, and designed for automation.

The job needs a technical leader who stays near the code, makes the architecture calls, and uses AI-powered tools and current engineering practice to speed up development. You'll run engineering teams, set technical standards, and ship systems that make complicated operations simpler at scale.

What You’ll Be Doing

• Lead internal platform engineering: Be accountable for the architecture, build, and scaling of platforms behind operations workflows, the expert lifecycle, data collection, analytics, and business processes.
• Build intelligent systems: Add AI agents, LLMs, and automation to in-house platforms so workflows get simpler, manual work drops, and operations run more efficiently.
• Drive platform architecture: Design integrations, event-driven systems, distributed services, and APIs that scale and that link onboarding, assessments, subscriptions, data pipelines, and finance workflows.
• Own quality engineering: Set the QE strategy and lead automated test frameworks, quality gates in CI/CD, release checks, and production reliability for every platform.
• Advance test automation: Bring in evaluation frameworks, automated regression coverage, and testing assisted by AI, for both conventional apps and AI-powered ones.
• Stay hands-on: Lead technical design, help build, review code, debug production problems, and work through hard engineering issues.
• Improve engineering productivity: Bring in AI-assisted development workflows, developer tools, and automation that speed up delivery without lowering quality.
• Lead engineering teams: Coach engineers, set technical standards, push execution, and build a culture where people own outcomes, experiment, and hold themselves accountable.
• Partner across functions: Team up with Operations, Data, AI/ML, and Product to turn business needs into technical solutions that scale.

What We’re Looking For

• At least 10 years in software engineering, 4 or more of them leading engineering teams.
• Strong coding skill in Python, TypeScript, or comparable languages, with recent work building and debugging systems in production.
• Extensive platform architecture work, covering microservices, distributed systems, APIs, event-driven design, and orchestrating workflows.
• Real-world work on AI-powered systems such as LLM integrations, agent workflows, RAG, and evaluation frameworks.
• Background using AI dev tools and automation to make engineering faster and more productive.
• Deep quality engineering skill: automated tests, CI/CD pipelines, end-to-end and API testing, and keeping production reliable.
• Skill with cloud infrastructure (AWS, Azure, or GCP), plus Kubernetes, databases, DevOps practice, and observability.
• Background building in-house platforms for operations workflows, data pipelines, analytics, or complicated business processes.
• Clear record of technical leadership: coaching engineers, making architecture calls, and shipping in fast-moving, uncertain settings.

Preferred Qualifications

• Background at AI research labs, AI-native firms, or fast-growing tech startups.
• Work on human data platforms, for example managing experts, labeling data, curating data, workflows with a human in the loop, and AI eval pipelines.
• Knowledge of how LLMs are trained and evaluated, including human feedback, preference data, and benchmarking models.
• Background with agent orchestration tools like LangGraph, Temporal, or comparable technology.
• Background creating shared infrastructure, internal platforms for developers, or engineering tools people can use on their own.
• Knowledge of AI-assisted testing, auto-generated tests, and evaluating systems that aren't deterministic.

Compensation & Benefits Notice

Nationally, base pay for this full-time job runs $280,000–$350,000. Every employee can receive equity, and bonuses tied to performance may also apply depending on the role and company policy. Benefits cover health-insurance premiums (reimbursed at up to 100%), paid time off, a 401(k) with a company match, and other perks meant for a remote-first team that performs at a high level.

micro1 hires on an equal-opportunity basis. Every qualified applicant is considered without regard to age, color, disability, national origin, race, religion, sex (pregnancy, gender identity, and sexual orientation included), veteran status, genetic information, or any other trait that applicable local laws, ordinances, or regulations protect. Applicants who need help or a reasonable accommodation while applying can ask for it.

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Application process

Submit your application through NorthStar. Employer screening may follow after submission.