QA - Engineering Manager

ArmorCode helps enterprises manage security risk and governance across today’s heterogeneous technology environments. The ArmorCode Agentic AI Platform gives security teams a system of action, moving from fragmented signals to owned, policy-driven, auditable decisions. Its unified exposure management capabilities deliver visibility, insight and control across four solutions: Application Security Posture Management, Vulnerability Management, Software Supply Chain Security and AI Exposure Management.

Processing over 300 billion findings a year across hundreds of native integrations, ArmorCode unifies, prioritizes and drives remediation across applications, cloud, code, infrastructure and AI. Powered by Anya, the industry’s first agentic AI framework for enterprise security, ArmorCode is trusted by global enterprises to reduce exposure and adopt AI and modern software practices with confidence, without replacing existing tools or forcing vendor consolidation.

ArmorCoders believe in 5 core values: Hungry. Humble. Hardworking. Honest. Human. Our organization is powered by exceptional professionals who bring fresh ideas and passion to their roles, believing that nothing is beyond reach when our "5H" principles are applied. In their work and professional relationships, ArmorCoders commit to excellence and experiences that leave an impression.

This is an Engineering Manager role on our Quality Engineering team. You will be embedded directly alongside a group of product development teams, owning quality outcomes for that entire surface area.

You will lead a team of QA engineers — a unified team where manual testing and automation are not separate functions. Your engineers each own their dev pod end-to-end: test strategy, automation coverage, shift-left practices, and quality sign-off.

You report to the Director of Engineering and work as a peer with dev EMs, product managers, and engineering leadership — not as a downstream function.

The most important thing about this role: AI tooling has fundamentally changed what a QA team can do. We expect this EM to be running agentic QA workflows themselves, not managing from a distance. If you haven't built agent pipelines using Claude Code, Kiro, or Codex, this role will be a stretch.

Your Team

• Lead, mentor, and grow a team of QA engineers across different levels
  Each engineer on your team is the single QA owner for one or more dev pods — you give them the structure, context, and support to operate with real ownership
• Drive career development: help engineers grow their automation depth, agentic tooling fluency, and — over time — product code contributions
• Hire well; raise the bar for your team and contribute to engineering-wide hiring

Quality Strategy

• Own the quality strategy for ArmorCode — what gets tested, at what layer, by whom, and at what point in the cycle
• Ensure every pod has shift-left practices, automation coverage, and clear quality gates as part of the definition of done
• Surface quality risks proactively to Development teams and PMs — before code ships, not after
• Own the metrics: defect leakage, escaped defects, automation coverage, regression stability etc

Dev Partnership

• Own QA planning for your development teams — define scope, effort, and timelines based on QA complexity and team capacity
• Review design docs and RFCs for quality and testability implications before implementation begins
• Partner with dev leads: quality gates and automation are built into how the team works, not added at the end
• Represent quality in cross-functional conversations with PM, DevOps, and CS

Agentic QA Engineering

We're past AI-assisted testing. The expectation for this role is agentic QA workflows — where AI agents handle test generation, execution triage, regression validation, and failure classification autonomously. Your job is to architect those workflows, not prompt an LLM manually for each test case.

• Build and operate agentic pipelines using Claude Code, Kiro, or Codex that generate, validate, and maintain test suites with minimal human intervention
• Design workflows where agents triage CI failures, classify defects, and surface only what needs human judgment
• Own the eval layer: define how you know the agent's output is correct, and set the guardrails
• Push the team from "we use AI to write tests faster" to "our test suite largely writes and heals itself"
• Stay ahead of where agentic testing is going — this space is moving fast and you're expected to bring that thinking into the org, not follow it

Automation & Execution

• Your team owns both manual and automation — no handoffs between silos
• Own QA delivery: test plans, sprint readiness, release sign-off, RCA sessions
• Manage capacity, flag risks early, and ensure your dev partners have a predictable, reliable quality function

Must Have

• 3–5+ years managing QA or Quality Engineering teams in a fast-moving (daily/weekly/bi-weekly releases) SaaS product startup with an overall experience of 10-15 years.
• Hands-on experience building agentic workflows — not just using AI coding assistants, but designing multi-step agent pipelines that operate with real autonomy. You've built or run workflows using Claude Code, Kiro, Codex, or equivalent where the agent is doing the work, not just suggesting it
• Coding ability — you can read, write, and reason about code. You can prototype a solution, review a PR, and have a real technical conversation about architecture without needing it translated
• Experience managing a team where manual and automation are not separate silos
• Strong dev-partnership instincts — you work with engineering, not after it
• Track record of shift-left: quality as part of development, not a downstream handoff
• Comfort with ambiguity — you can take a fuzzy quality goal and turn it into a plan

Strong Plus

• Experience building agentic QA workflows — self-healing tests, AI-generated regression suites, automated triage pipelines using Claude Code, Kiro, or Codex
• Background in AppSec or security tooling (SAST, DAST, SCA, integrations) — you'll be partnering with complex, integration-heavy dev pods
• Experience building or evaluating AI features yourself — understanding of prompting, output validation, hallucination risks, and eval harnesses
• Experience in a pod or squad model with embedded QA

Tech Stack Context

The team works across Java/Spring, React, MongoDB/Postgres, Kafka, REST APIs, UI and API test automation frameworks, and CI/CD pipelines. You need enough fluency to have credible technical conversations with your team — and to use agentic tooling effectively against a real codebase.

• Career Growth Opportunities: We believe in promoting from within and provide career progression paths, enabling our employees to advance in their careers
• Work-Life Balance: We understand the importance of a healthy work-life balance, offering flexible hours and remote work options to promote a sustainable lifestyle
• Collaborative Environment: Our company fosters a collaborative and inclusive workplace culture, where employees can collaborate and learn from each other's experiences
• Employee Recognition: We value and recognize the contributions of our team members through awards, employee of the month programs, and other forms of acknowledgment.
• Competitive Compensation: We offer competitive salaries and performance-based bonuses, recognizing and rewarding the hard work and dedication of our team
• Comprehensive Benefits: Our benefits package includes health insurance for employees and dependents, to support the overall well-being of our employees. We encourage learning and skilling, and aid our employees to continuously upskill themselves.
• Diversity and Inclusion: We are committed to diversity and inclusion, striving to create an environment where all employees feel valued, respected, and empowered

Join ArmorCode and lead the charge in reducing signal fatigue, prioritizing risk and streamlining key cybersecurity workflows. Apply today to be part of a close-knit team, dedicated to democratizing software security and helping build the safest software possible.

ArmorCode is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected category. All qualified individuals are encouraged to apply and will receive consideration for employment regardless of their background or characteristics. We are committed to fostering a diverse and inclusive workplace where everyone is treated with respect and dignity.