Engineering Manager

10+ years of software engineering experience, with 4+ years of experience directly managing or leading software engineering teams in distributed system environments.

Cross-Functional Track Record: Proven experience leading initiatives that span multiple departments, with a knack for unblocking bottlenecks and driving execution across matrixed organizations.

Rigor under Constraints: Exceptional project management and scoping skills; ability to maintain delivery rigor despite shifting variables, resource constraints, and competing corporate priorities.

Stakeholder Communication: Experience communicating updates and resolutions clearly, with the ability to navigate sensitive customer commitments and setting realistic, data-backed expectations.

AI-Native Engineering: Experience pioneering AI-assisted engineering, specifically utilizing Claude Code (or similar LLM-driven command-line interfaces/agents) to automate development, debugging, and operational workflows.

DevOps & Delivery: Proven track record of defining modern development best practices, with a heavy focus on advanced DevOps, continuous production delivery, and automated CI/CD pipelines.

Technical Domain Expertise: – Solid understanding of designing scalable, high-performance, event-driven, and streaming data-processing microservices. – Experience building high-availability, fault-tolerant platforms and reusable cloud components. – Hands-on experience with at least one public cloud environment (e.g., AWS, GCP, Azure) and containerized environments using Kubernetes and cloud native technologies. – High proficiency in software development using one or more core languages (e.g., Golang, Java, .NET, C#). Industry Context: Experience or strong interest in cloud-native cybersecurity, specifically Cloud Native Application Protection Platforms (CNAPP).

Experience building and leading cross functional teams at major cloud providers such as AWS, GCP is a major plus.

You will spend less time on organizational overhead and more time actively leading forward deployed engineering teams, unblocking cross-functional dependencies, driving delivery rigor, and personally spearheading the squad’s shift into Claude Code AI workflows.