Engineering Manager - Remote

What You'll Work On

• Lead from the keyboard: contribute production code regularly, use AI agents as part of day-to-day delivery, and stay close to the technical work.
• Own the team’s technical direction, architecture decisions, long-term technical health, and roadmap across new delivery, modernization, and technical debt.
• Lead phased modernization of legacy.NET/C# and Angular components while building new capabilities with Python, Node.js, and React.
• Break work into small, well-bounded tasks and route each task to the best executor - an engineer, an agent, or yourself - while keeping coordination lean and outcome-focused.
• Own pull request review and provide fast, technically substantive feedback.
• Build and manage the technical-debt backlog, resolving priority issues directly instead of relying only on delegation.
• Hire, evaluate, coach, and grow engineers; set the technical hiring bar and help the team work effectively with AI agents.
• Create and maintain agent operating instructions, verification protocols, and human-in-the-loop controls for code, tests, documentation, and infrastructure changes.
• Run evaluation checks before merge and retain human-owned merge control for production branches.
• Maintain strong automated testing across unit, integration, and end-to-end layers, and uphold consistent engineering practices across design, coding, testing, release, and operations.
• Drive CI/CD automation, containerized delivery, and Infrastructure as Code for cloud-native applications.
• Track engineering health and delivery metrics, including required reporting through Atlassian Compass.
• Facilitate bi-weekly live demos from the cloud environment, including both product features and agent-enabled workflows.
• Partner with the dedicated production support organization by providing tooling, automation, documentation, and runbooks that make the product easier to operate and support.
• Reduce operational toil through automation while applying appropriate security guardrails, blast-radius limits, and audit trails to production-touching workflows.
• Maintain visibility into WIZ Critical and Major findings and drive remediation within required service levels.
• Keep architecture documentation, ADRs, runbooks, and agent instructions current and usable.

What You'll Bring

• 5-7+ years of relevant software engineering experience, with clear experience as a senior engineer or technical lead and prior leadership of at least one engineering team.
• Hands-on full-stack development depth and the desire to continue building while managing engineers.
• Strong proficiency with Python, Node.js, and React for modern application development.
• Experience maintaining and modernizing.NET/C# services and Angular front ends.
• Demonstrated use of agentic or AI-assisted software development workflows in real delivery environments, not just experimentation.
• Ownership of the full development lifecycle: build, test, release, operate, troubleshoot, and iterate.
• Cloud-native application experience on Azure; AWS or GCP experience is also relevant.
• Hands-on experience with containerized workloads and orchestration.
• Infrastructure as Code experience with tools such as Bicep, Terraform, Pulumi, or AWS CDK.
• Strong automated testing and CI/CD experience across full-stack delivery.
• Ability to make significant technical contributions, solve complex engineering problems, and make sound architecture decisions.
• Clear communication with both technical and non-technical stakeholders.

How You Work

• You are a player-coach: comfortable owning people leadership while remaining an active practitioner.
• You use AI agents to increase engineering throughput, but you keep quality, testing, security, and production decisions under clear human control.
• You bring structure without creating unnecessary process and identify technical dependencies, delivery risks, and quality issues early.
• You are comfortable working in a small-team environment where priorities can shift and where leadership means doing the work as well as directing it.
• You balance modernization with stability and understand that business-critical systems must continue to perform while the architecture evolves.

Additional Qualifications

• Bachelor's degree in Accounting, Finance, Information Systems, Economics, Computer Science, Engineering, or a related field is required.
• Exposure to financial services, accounting, finance, tax technology, finance transformation, tax software development, or implementation environments.
• Ability to take ownership of assigned work through completion, including requirements, configuration, testing, debugging, and system/process changes.

Bonus Points If You Have

• Relevant professional certifications or advanced degrees - such as CPA, EA, JD, or a master's degree in business administration, finance, economics, computer science, information systems, engineering, quantitative economics, or a related field - are a plus, but not required.
• Familiarity with GitHub, GitHub Actions, Atlassian tools, SonarQube, Mend, Aqua Trivy, and WIZ.
• Experience with micro front-end architectures.
• Experience modernizing mixed legacy/new technology environments while continuing to ship.
• Experience building practical engineering guardrails for AI-assisted or agentic development.

What Success Looks Like

• The team ships predictably while maintaining strong quality, testing, security, and release discipline.
• The Engineering Manager remains technically credible and materially contributes to delivery rather than operating only as a coordinator.
• Legacy components remain stable while modernization progresses in deliberate, low-risk increments.
• AI agents are used productively with clear verification, human review, and production controls.
• Engineers receive timely technical feedback, coaching, and clear expectations, and the team’s technical hiring bar remains high.
• Operational support improves through better automation, runbooks, documentation, and reduced manual toil.