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.
  • Design and deliver microservice-based integration solutions across REST, GraphQL, streaming APIs, MCP, and LLM-powered automation.
  • Make architectural decisions on system boundaries, API contracts, reliability targets, and build-versus-buy choices.
  • Provide technical mentorship through design reviews, pairing sessions, and code reviews.
  • Set technical direction and promote engineering rigor in quality, documentation, secure coding, and distributed systems practices.
  • Collaborate with engineering teammates to grow their ability to independently own projects and make strong design decisions.
  • Use AI tools and automation to accelerate design, development, testing, deployment, monitoring, and incident triage workflows.
  • Build or improve internal tooling that increases team efficiency and adoption of AI-assisted engineering practices.
  • Deliver robust, production-grade integrations that scale to support 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 with domain ownership or team leadership.
  • 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, 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.
  • Regular, production use of AI tools such as Copilot, Cursor, Claude, or ChatGPT to accelerate engineering workflows.
  • Demonstrated ability to judge when AI output is trustworthy and 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, plus Kubernetes and Helm.
  • Preferred: experience with AI-native integration patterns such as MCP, function calling, or agent orchestration frameworks.

Benefits

  • Base compensation range of USD 150,000-210,000 per year.
  • Bonus opportunity and equity as part of total compensation.
  • Pre-IPO stock options.
  • Medical, dental, and vision coverage.
  • 401(k) retirement plan.
  • Employee Assistance Program.
  • Paid time off.
  • Employee discount program.
  • Life insurance.
  • Referral program and rewards-and-recognition program.

Interested in this position?

Apply directly on the company website

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