Director of Engineering, Quality Assurance and Delivery
Quick Summary
Python, SQL Frameworks: Selenium, Playwright, Serenity-BDD, Cypress, k6 or Artillery or similar Data Stack: Snowflake, dbt, Apache Airflow (AWS MWAA) Cloud Infrastructure: AWS,
About the Role
~1 min readWe're looking for a Director of Engineering, Quality and Engineering Excellence to lead the functions that ensure our engineering organization delivers high-quality, reliable software at scale. This role owns quality assurance technical support, incident management and release readiness for engineering operations.
The opportunity: as a rapidly growing insurance technology company, we rely on high quality reliable systems, predictable delivery, operational discipline, and exceptional customer experiences. As our platform and engineering organization continue to scale, we need a leader who can build the operational foundation that enables teams to move quickly without sacrificing quality or reliability.
As a key member of the engineering leadership team, you will establish the processes, tooling, metrics, and organizational practices that drive quality assurance, engineering operational effectiveness, and customer satisfaction across a growing multi-product platform.
- Build and grow a high-performing engineering team across QA, support and engineering operations.
- Manage the recruiting, onboarding/offboarding and ongoing team development while fostering technical excellence.
- Mentor team members through technical challenges, support their continuous growth, and support their career growth.
- Establish a culture of accountability, continuous improvement, customer focus, and operational excellence.
- Build strong partnerships across Engineering, Product, Operations, Customer Success, and Business teams, fostering clear communication, alignment, and coordinated execution.
- Own the product quality assurance strategy, tooling, frameworks, and quality standards.
- Lead the QA organization responsible for test automation, release validation, regression testing, and quality governance.
- Drive a shift-left quality culture across engineering teams.
- Establish quality KPIs including defect escape rates, test coverage, release quality, and customer-reported issues.
- Partner with engineering leadership to ensure quality is embedded throughout the SDLC.
- Lead technical support and escalation management functions.
- Establish support processes, service levels, escalation paths, and operational reporting.
- Partner with development and product teams to resolve customer-impacting issues quickly and effectively.
- Drive root cause analysis and remediation efforts that improve platform stability and resilience.
- Identify recurring customer issues and drive systemic improvements that reduce support burden.
- Build data-driven operational reviews that help leadership make informed decisions.
- Create transparency around engineering performance and improvement opportunities.
- Leverage metrics such as deployment frequency, lead time, change failure rate, MTTR, incident trends, support volume, customer impact, and engineering productivity.
- Ensure lessons learned from releases are incorporated into engineering standards, delivery processes, testing strategies, and operational practices.
- Languages: Python, SQL
- Frameworks: Selenium, Playwright, Serenity-BDD, Cypress, k6 or Artillery or similar
- Data Stack: Snowflake, dbt, Apache Airflow (AWS MWAA)
- Cloud Infrastructure: AWS, Terraform or similar
- AI/ML: LLM APIs (OpenAI, Anthropic), vector databases, ML frameworks (scikit-learn, PyTorch or equivalent)
- Tools: GitHub, Jira, Confluence, Jellyfish, Slack
- Full-Stack Testing: Experience testing mobile, mobile-responsive web applications and APIs (RESTful/GraphQL).
- DevOps Exposure: Experience configuring GitHub Actions, Jenkins, or similar CI/CD tools.
- Observability: Datadog, New Relic, Grafana, CloudWatch
Requirements
~1 min read- 10+ years of experience in software engineering, quality assurance, Devops, technical operations, or related roles.
- 5+ years managing engineering teams responsible for QA, support, reliability or engineering operations.
- Strong understanding of software development lifecycles, Agile methodologies, CI/CD, cloud infrastructure, and modern engineering practices.
- Experience implementing engineering metrics programs and using data to drive organizational improvements.
- Proven success leading cross-functional operational initiatives involving engineering, product, infrastructure, and customer-facing teams.
- Experience building and scaling operational processes within SaaS, enterprise software, or technology organizations.
- Strong stakeholder communication and management skills.
Nice to Have
~1 min read- Experience in insurance, fintech, or other data-rich regulated domains
- Familiarity with DORA metrics, SPACE framework, engineering effectiveness programs, and developer productivity initiatives.
- Experience implementing observability and operational excellence initiatives at scale.
- Experience supporting SOC 2, ISO 27001, or other compliance frameworks.
For those applying in the US:
Please note: This position is open only to candidates who are authorized to work in the United States without the need for current or future employer-sponsored work authorization. We are unable to offer visa sponsorship at this time
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- June 23, 2026
- First seen
- June 23, 2026
- Last seen
- June 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 61%
- Scored at
- June 23, 2026
Signal breakdown
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