Deployment Engineer East Coast
StealthWatch
Job Overview
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Job Description
Deployment Engineer East Coast at StealthWatch
StealthWatch is proud to be partnered with an early-stage security start-up that’s transforming how security operations are run through advanced AI-driven technology. They’re on a mission to empower high-performance security teams and are building out their GTM function with key hires who can thrive in fast-paced, dynamic environments.
This is a founding Forward Deployed Engineer position—an opportunity to work directly with enterprise or government clients, prototype solutions that shape the product, and have a tangible impact on the growth of the business.
What you’ll be doing:
- Prototyping features based on customer requirements using Python or Go
- Leveraging hands-on skills across AWS, Azure, GCP, Kubernetes, and Docker
- Collaborating closely with engineering to bring prototypes into the core product
- Communicating your work effectively with both customers and internal teams
- Embedding with strategic customers to deeply understand their technical challenges and workflows
- Some travel required to engage directly with clients
What you bring:
- Deep understanding of security operations use cases and workflows ideal
- Strong programming skills in Python (must-have), with bonus points for Go or TypeScript
- Familiarity with deploying applications on cloud platforms (AWS, Azure a must)
- Exceptional communication skills to translate complex technical concepts for both technical and non-technical audiences
- 5–10 years of experience in software engineering or customer engineering roles, with strong customer-facing experience
What sets you apart:
- Proven experience building or supporting security products
- Hands-on exposure to AI systems, machine learning models, or agentic frameworks
- Previous experience on a security team
- Demonstrated success in agile, fast-moving environments with CI/CD
Key skills/competency
- Python
- Go
- TypeScript
- AWS
- Azure
- GCP
- Kubernetes
- Docker
- Security Operations
- AI/Machine Learning
How to Get Hired at StealthWatch
- Research StealthWatch's culture: Study their mission, AI security focus, and start-up environment to align your application.
- Tailor your resume: Highlight Python, Go, cloud platforms (AWS, Azure), security operations, and strong customer-facing experience specifically.
- Showcase problem-solving: Prepare examples demonstrating prototyping, client-facing solution delivery, and translating complex technical concepts.
- Emphasize early-stage impact: Discuss how you thrive in dynamic, fast-paced environments and can contribute to product definition and growth.
- Connect AI/security expertise: Be ready to discuss any experience with AI systems, machine learning models, or building security products.
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