• Help set technical direction for the ControlCheck team, designing work that spans multiple domains (front-end, back-end, infrastructure) over months, not sprints • Contribute to critical architectural decisions for services built on Ruby on Rails and Python FastAPI, deployed via Terraform and guide the team on architectural choices. • Make critical technical and architectural calls within the timelines the team needs. • Drive proactive de-coupling of services and application of sound microservices patterns as ControlCheck scales. • Identify and resolve the hardest technical problems in the codebase — expert-level debugging across distributed systems and complex applications • Help elevate the whole team's technical ability and execution — the goal is doubling (or more) the team's collective output, not just personal 5–10x contributions • Lead cross-team dependency management and coordinate cross-discipline efforts with Product, QA, and adjacent engineering teams while maintaining productive relationships across the organization. • Communicate large systems and technical tradeoffs clearly to both engineering and non-technical stakeholders, including in roadmap and planning conversations • Influence at the Engineering Manager level — partner closely with your EM and fellow technical leads on team execution, hiring signal, and technical roadmap and provide technical guidance across the broader engineering team, not just direct collaborators. • Mentor senior engineers and serve as an escalation point for the team's most difficult technical challenges • Maintain a 'customer service' mentality toward the rest of the team — your job is to help make everyone else's work better

• Design and architect modern software solutions — from requirements analysis and architectural decisions through to production implementation • Take responsibility for scalable, maintainable and high-performance system designs based on modern technologies and cloud platforms • Participate in exciting client projects as the technical point of contact for architectural questions • Identify and incorporate AI-driven features or use cases into architectures where they make sense functionally and are economically viable • Design the integration of machine learning models, large language models (LLMs) or data-driven services into existing or new systems — depending on the project context • Provide technological advice to our clients on architecture and technology decisions • Ensure code quality and adherence to architecture standards through clean code, testing, reviews and best practices • Actively shape new technological topic areas — especially in the growing field of artificial intelligence

• Owning the technical roadmap for an automated, AI-driven vulnerability scanning platform across cloud infrastructure, container registries, operating systems, and application-layer software. • Building context-engine models that correlate findings from SAST, DAST, SCA, and cloud posture tooling to determine true runtime exploitability. • Implementing AI-assisted triage workflows that classify vulnerabilities, reduce false positives, and route validated issues to the right engineering teams. • Leading targeted red teaming and collaborative purple teaming exercises to validate exploitable paths and strengthen runtime defenses. • Partnering directly with Software Engineering and DevOps to build automated remediation pipelines, including dependency update pull requests and base-image patching workflows. • Engineering security scanning guardrails into CI/CD pipelines and providing structured telemetry to support continuous compliance and executive risk visibility. • Working with cutting-edge GenAI tools and technology to analyze findings, improve prioritization, and accelerate remediation workflows.

• Lead from the code • Be a core individual contributor in Go, Python, and JavaScript • Set the technical standard through pull request reviews, architecture decisions, and hands-on pair programming • Identify technical debt and risk clearly, communicate tradeoffs to stakeholders • Build out the agile process including sprint planning, refinement, and process development; help us move out of “startup mode” • Directly manage one engineer • Collaborate in a strong remote team environment, building robust and reliable solutions with a strong value proposition • Support a team that cares about what we build, with a bias for action and willingness to take risks