Hire Tech Leads

Hiring Guide: Tech Leads

Hiring a Tech Lead isn’t the same as hiring your strongest individual contributor. Great Tech Leads turn ambiguous goals into shipped systems, align engineers and stakeholders, and keep quality high while the roadmap moves. They write code—but they also clarify scope, choose the right architecture, reduce risk, and coach the team so delivery becomes repeatable. Use this guide to define the role, evaluate candidates, interview for real-world signals, and set up a 30/60/90 plan that produces results. You’ll also find related Lemon.io roles to pair with your Tech Lead when the work spans multiple stacks or operational requirements.

What Great Tech Leads Actually Do

 
• Own outcomes, not tasks: Translate business goals into measurable engineering objectives, then guide scope and sequencing so the team hits those targets predictably.
 
• Architect for today and tomorrow: Choose designs that fit current constraints while leaving extension points. Keep a crisp boundary between “must-have now” and “evolves later.”
 
• De-risk early: Identify unknowns (scale, security, integrations, compliance), spike the riskiest assumptions first, and establish telemetry to prove or disprove them quickly.
 
• Raise the engineering floor: Put guardrails in place—coding standards, CI gates, test strategy, observability—so quality doesn’t depend on heroics.
 
• Coach while shipping: Give PR feedback that teaches patterns, delegate thoughtfully, and protect focus time so seniors can unblock others.
 
• Communicate across functions: Keep product, design, data, and operations aligned through crisp status, trade-off memos, and risk narratives.
 
• Model reliability and security: Bake in incident response, error budgets, and baseline controls (authZ, secrets, least privilege) from the first iteration.

When to Hire a Tech Lead

 
• You’re scaling from 2–3 engineers to 6–10: Process debt appears (inconsistent reviews, flaky tests, unclear ownership), and delivery variability increases.
 
• You’re entering a higher-stakes phase: Payments, PII/PHI, enterprise customers, or strict SLAs require stronger architecture and review gates.
 
• You have parallel streams of work: Multiple teams or pods need a single technical owner to align decisions and enforce shared standards.
 
• You must modernize legacy systems: Refactors, migrations, or platform changes require sequencing and risk management.

Key Competencies to Screen

 
• Architecture & decomposition: REST/GraphQL boundaries, eventing, data modeling, caching, and strategies for consistency and idempotency.
 
• Delivery systems: CI/CD pipelines, environment strategy, trunk-based or GitFlow, feature flags, canary and rollbacks.
 
• Quality & testing: Unit/integration/e2e layering, contract tests, non-functional requirements (performance, accessibility, security).
 
• Observability: Logging, metrics, tracing; SLO/SLI definitions; dashboards for latency and error budgets.
 
• Security posture: Secrets management, authN/authZ, dependency hygiene, static/dynamic scans, audit readiness.
 
• People & influence: Mentorship, conflict resolution, stakeholder comms, and pragmatic decision-making under time pressure.

Role Interfaces (Who the Tech Lead Aligns With)

 
• Product: Refines scope, clarifies acceptance criteria, and sets milestones with realistic risk buffers.
 
• Design/UX: Balances usability with technical feasibility and performance budgets; enforces accessibility.
 
• Data/Analytics: Ensures events and schemas enable measurement, experiments, and reliable reporting.
 
• DevOps/SRE: Defines SLIs/SLOs, deployment safety, and incident response.
 
• Security/Compliance: Applies controls early (least privilege, audit logs, retention) to avoid late-stage rework.

Anti-Patterns (Red Flags)

 
• Architecture tourism: Inflates complexity to showcase patterns rather than meet real needs.
 
• Hero-only delivery: Personally fixes everything but leaves no reusable process; velocity collapses without them.
 
• Testing lip service: Talks quality but ships without guardrails; regressions rise as features accumulate.
 
• Communication gaps: Stakeholders learn about risks too late; teams ping-pong on scope.

Job Description Template (Copy & Adapt)

Title: Tech Lead (Hands-on • Architecture • Delivery)

Mission: Lead the technical design and delivery of [project/product], establishing guardrails so the team ships reliably against quality, performance, security, and timeline goals.

Responsibilities:

 
• Translate business goals into a roadmap, milestones, and engineering KPIs (latency, reliability, quality).
 
• Design system boundaries, data models, and integration patterns; drive RFCs and architectural decisions.
 
• Set up and enforce CI/CD, testing strategy, observability, and release safety (flags, canary, rollbacks).
 
• Mentor engineers through PRs, pairing, and knowledge sharing; steward coding standards and documentation.
 
• Partner with Product/Design to refine scope, plan iterations, and communicate risks and trade-offs.
 
• Champion security and privacy by default; ensure compliance requirements are implemented from day one.

Must-have skills: Strong system design; proficiency in relevant stack (e.g., TypeScript/Node, Python, Java, or Ruby); database design; cloud and CI/CD experience; testing and observability; stakeholder communication.

Nice-to-have: Experience with event-driven systems, multi-region deployments, container orchestration, feature flagging, and experiment platforms.

How to Shortlist Candidates (Portfolio & Signals)

 
• Architecture artifacts: RFCs/ADRs that show problem framing, options, trade-offs, and measurable results.
 
• Delivery receipts: Evidence of setting up CI/CD, test layering, and on-call/incident practices that reduced MTTR or defects.
 
• Data-informed decisions: Dashboards or metrics used to justify refactors, performance work, or capacity planning.
 
• Mentorship impact: Examples of upskilling teammates or improving review quality and speed.
 
• Security hygiene: Policies for secrets, authZ, dependency scanning, and audit trails.

Interview Kit (Signals Over Trivia)

 
1. System Design: “Design a multi-tenant API that serves web and mobile clients with rate limits and per-tenant isolation. Walk through data model, caching, and how you’d handle noisy neighbors.”
 
2. Reliability & Release: “You’re migrating to a new service. How do you minimize risk? Cover flags, canary, health checks, and rollback triggers.”
 
3. Quality Strategy: “Given a flaky e2e suite, how do you restructure tests to isolate failures and keep release velocity?”
 
4. Security-by-Default: “Outline authN/authZ, secrets, and audit logging for an app handling PII; how do you prove controls are working?”
 
5. Trade-off Memo: “Product wants a quick win that adds tech debt. Write a short plan that balances speed and sustainability—what debt is acceptable, how will you pay it down?”
 
6. Team Leadership: “A senior engineer dominates decisions and blocks peers. How do you reset norms and keep delivery on track?”

30/60/90 Execution Plan

First 30 days (Stabilize & See): Map systems and owners, review SLOs, CI/CD, and alerts. Close glaring gaps (undefined error budgets, missing dashboards). Deliver one thin vertical slice to demonstrate the working definition of done (tests, telemetry, rollout).

Days 31–60 (Align & Accelerate): Publish a north-star architecture and sequencing. Introduce or refine code review standards, release cadence, and change management. Kill the top 2 sources of toil or flaky tests. Establish a quarterly technical risk register and mitigation plan.

Days 61–90 (Scale & Institutionalize): Delegate ownership for subsystems; set clear SLIs/SLOs per domain. Normalize performance budgets and error budgets. Land process upgrades (incident review template, ADR cadence, CI quality gates). Demonstrate measurable improvements in lead time, change failure rate, and recovery time.

Scope & Cost Drivers (Set Expectations Early)

 
• Complexity & scale: Domain breadth, data volume, concurrency, and uptime targets increase design and review cycles.
 
• Compliance & security: PII/PHI, PCI, or audited environments add design controls and validation steps.
 
• Team maturity: Coaching time rises when standards, tooling, or documentation are immature.
 
• Integration surface: Number of external systems, legacy migrations, and vendor constraints shape timelines.

Internal Links: Related Lemon.io Roles

Tech Leads often partner with adjacent specialists. Keep readers inside Lemon.io by linking to roles they’ll likely consider next:

 
• Software Developer for generalist feature delivery when scope is still evolving.
 
• Full-Stack Developer to cover UI-to-API features and accelerate vertical slices.
 
• Back-End Developer for APIs, data modeling, performance, and scaling.
 
• Front-End Developer for design systems, accessibility, and Core Web Vitals.
 
• DevOps Engineer for CI/CD, infrastructure as code, and observability.
 
• QA Engineer (Automation) to mature test strategy and harden releases.
 
• Data Scientist for experimentation, ML integrations, and analytics models.
 
• Data Analyst to build dashboards and define product metrics with the Tech Lead.
 
• Python Developer, Node.js Developer, or React Developer when the stack needs targeted expertise.

Call to Action

Get matched with vetted Tech Leads—share your goals, stack, and constraints to receive curated candidates who can lead architecture and delivery from day one.

FAQ

 

What’s the difference between a Tech Lead and an Engineering Manager?

 

A Tech Lead is primarily accountable for technical decisions and delivery quality while remaining hands-on in design/implementation. An Engineering Manager focuses more on people operations (hiring, performance, career growth). In smaller teams, one person can wear both hats; clarify expectations upfront.

 

Should a Tech Lead still write code?

 

Yes—though not full-time. Expect them to take the thorniest integrations, build reference implementations, and review critical paths, while delegating the bulk of feature work to the team.

 

How do I measure a Tech Lead’s success?

 

Look for improving lead time for changes, change failure rate, mean time to recover, escape defect rate, and progress against architecture milestones—plus healthier collaboration signals (fewer last-minute surprises, clearer trade-off decisions).

 

How many engineers can a single Tech Lead support?

 

Commonly 5–8 engineers when the domain is cohesive and guardrails exist. If the domain is broad or high risk (compliance, payments, multi-region), reduce span or add area leads.

 

What level of documentation is expected?

 

Lightweight but consistent: ADRs/RFCs for significant decisions, diagrams for boundaries and flows, runbooks for critical systems, and discoverable onboarding docs.

 

Can a Tech Lead be fractional or part-time?

 

Yes, especially for early-stage or project-based needs. Ensure alignment windows with Product/Design, explicit ownership boundaries, and written decision records to avoid stalls.