Stellar Cyber

Stellar Cyber

Stellar Cyber provides Next Gen SIEM Security, Network Detection, and Response platforms with AI-driven threat analysis, empowering lean security teams to secure environments effectively.

Professional Services
51-250
Founded 2017
$80M raised

Description

  • Own one or more integration domains end-to-end, including roadmap, architecture decisions, trade-offs, and delivery.
  • Architect and deliver microservice-based solutions for traditional and AI-native integrations across REST, GraphQL, streaming APIs, MCP, and LLM-powered automation.
  • Make system-level architectural decisions on boundaries, API contracts, reliability targets, and build-vs-buy trade-offs.
  • Lead projects independently from problem identification through scoping and completion.
  • Mentor engineers through design reviews, pairing, and code reviews to help them grow into stronger technical owners.
  • Set technical direction and promote engineering rigor in quality, documentation, secure coding, and distributed systems practices.
  • Use AI tools to accelerate design, development, testing, code review, deployments, monitoring, and incident triage.
  • Champion AI adoption across the team by helping engineers integrate AI tools into daily workflows and building internal tools where useful.
  • Collaborate across engineering to deliver robust, production-grade integrations for a growing customer base.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 8+ years of backend software development experience.
  • 3+ years in a Staff-level or tech lead role owning a domain or leading a team.
  • Proficiency in Python, Go, or Java.
  • Strong experience building and operating microservices in production.
  • Deep experience with API design and integration, including REST, GraphQL, streaming APIs, LLM APIs, and embedding services.
  • Experience with secure API patterns such as OAuth, API keys, and rate limiting.
  • Strong background in distributed systems, message queues such as Kafka or RabbitMQ, or orchestration frameworks such as Celery or Airflow.
  • Demonstrated regular use of AI tools such as Copilot, Cursor, Claude, or ChatGPT to accelerate engineering work.
  • Proven ability to judge when AI-generated output is trustworthy versus when human expertise is needed.
  • Track record of mentoring engineers and improving team technical capability.
  • Excellent system design, debugging, and communication skills.
  • Preferred: experience in cybersecurity domains such as SOAR, EDR, SIEM, or XDR.
  • Preferred: hands-on experience with large-scale data processing, real-time pipelines, or event-driven architectures.
  • Preferred: familiarity with AWS, Azure, or GCP and containerized deployments such as Kubernetes and Helm.
  • Preferred: experience with MCP, function calling, agent orchestration frameworks, or other AI-native integration patterns.

Benefits

  • Pre-IPO stock options.
  • Medical, dental, and vision coverage.
  • 401(k) retirement plan.
  • Employee Assistance Program.
  • Employee Discount Program.
  • Life insurance.
  • Paid time off.
  • Referral program.
  • Rewards and recognition program.
  • Base salary range of USD 180,000–245,000 per year.
  • Bonus opportunity and equity as part of total compensation.

Interested in this position?

Apply directly on the company website

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