Senior Forward Deployed Engineer

🕒 June 22

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Stacklok

WebsiteLinkedInAll Job Openings

11 - 50 employees

🔐 Security

☁️ SaaS

🤖 Artificial Intelligence

💰 Series A on 2023-05

Security • SaaS • Artificial Intelligence

Stacklok is a security platform dedicated to securing the software supply chain and mitigating risks across the software development lifecycle. The company provides solutions to secure open source dependencies, source code repositories, build environments, and build artifacts, ensuring strong security practices are in place and continuously enforced. Stacklok offers a suite of tools including Trusty, a web app for assessing the supply chain risk of open source packages, and Minder, a platform for enforcing supply chain security. The company also integrates with existing developer workflows to facilitate seamless adoption of security measures, helping developers and security teams collaborate effectively to prevent threats and ensure integrity in software development processes.

📋 Description

• Drive forward-deployed engagements end to end, from scoping each customer's technical goals and designing the deployment approach to taking POCs to a working state and toward production • Design and deliver changes to the platform and to how it deploys to Kubernetes, unblocking enterprise adoption and contributing those changes back to Stackok Enterprise • Act as the technical SME for enterprise adoption, answering deep platform and Kubernetes questions and giving hands-on support to customers and Design Partners • Own the technical calls within your domain, moving quickly on reversible decisions and pulling in the team anchor as scope and risk grow • Partner with senior peers and bring field insight back through standup, planning, and design reviews to influence priorities and how engagements run • Coach teammates in your areas of deep expertise, especially Kubernetes, and contribute to hiring when needed • Apply AI-assisted workflows and strengthen reusable tooling and playbooks so each engagement moves faster for the team

🎯 Requirements

• Deep Kubernetes expertise across cluster architecture, workload types, networking, storage, RBAC, and resource management • Strong operator and CRD literacy: reasons about control loops, CRD versioning, status, and finalizers, and writes controllers in Go using Kubebuilder or the Operator SDK • Proven experience deploying into managed Kubernetes, fluent in how it meets cloud infrastructure (IAM, networking, storage), with Helm authoring and GitOps via Flux or ArgoCD • Comfortable working directly with customers, including over-the-shoulder debugging across varied enterprise permission models, and clearly communicating root causes and remediation steps • Solid grasp of observability across metrics, logs, and traces, and when each applies. Familiarity with Prometheus, OpenTelemetry, and platforms like Datadog or Grafana is a plus • A track record of delivering production-grade systems and contributing fixes back to the products you support. Hands-on experience with MCP servers or AI agent tooling is a strong plus • AI-first mindset: an active user of AI coding assistants who brings agentic workflows (skills, agents, rules, hooks) into daily work and experiments with AI to automate and accelerate delivery • Communication: excellent written and verbal communication, able to explain complex technical ideas clearly to both technical and non-technical audiences • Startup mentality and intrinsic motivation: self-directed and hands-on, thrives in fast-moving, ambiguous environments, and drives clarity through action

🏖️ Benefits

• Competitive compensation and equity • Comprehensive medical, dental, and vision coverage • Flexible PTO and paid holidays • Paid parental leave • Flexible, hybrid-or-remote work environment • Team offsites in unique destinations