Senior Staff Software Engineer - Integration
180k – 245kUnited StatesBackend EngineeringRemote8+ YOE
Summary
Senior Staff Software Engineer owning integration domains end-to-end for an AI-driven cybersecurity SecOps platform. Architects microservices, designs APIs, mentors engineers, and leverages AI tools to accelerate development.
About the role
What You Will Own
The work only you can do
- Own one or more integration domains end-to-end: roadmap, architecture decisions, trade-offs, and delivery
- Make architectural calls—system boundaries, API contracts, reliability targets, build-vs-buy trade-offs
- Serve as a technical mentor through design reviews, pairing sessions, and code reviews
- Set technical direction and champion engineering rigor: quality, documentation, and best practices in secure coding and distributed systems
What you'll use AI to amplify
- Accelerate design and development workflow using LLM-based coding assistants, AI-driven testing, and automated code review
- Automate repetitive engineering tasks—builds, deployments, monitoring, incident triage—using AI and scripting
- Champion AI adoption across the team and build internal tooling
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 8+ years of backend software development experience, with 3+ years in a Staff-level or tech lead role
- Proficiency in Python, Go, or Java with strong foundation in building and operating microservices in production
- Deep experience with API design and integration—REST, GraphQL, streaming, and AI service integration (LLM APIs, embedding services)
- Strong background in distributed systems, message queues (Kafka, RabbitMQ), or orchestration frameworks (Celery, Airflow)
- Demonstrated ability to use AI tools (Copilot, Cursor, Claude, ChatGPT) to accelerate engineering workflows
- Track record of mentoring engineers and raising technical capabilities of a team
- Excellent system design, debugging, and communication skills
Preferred Qualifications
- Experience in cybersecurity domains: SOAR, EDR, SIEM, XDR
- Hands-on experience with large-scale data processing, real-time pipelines, or event-driven architectures
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployments (Kubernetes, Helm)
- Experience with AI-native integration patterns—MCP, function calling, agent orchestration frameworks
Skills
PythonGoJavaREST APIsGraphQLKafkaRabbitMQKubernetesAWSAzureGCPOAuthLLM APIsCeleryAirflow
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