Principal Software Engineer - Integration
S
Stellar CyberCybersecurity
United StatesFull-TimePrincipal
Salary190000 - 260000 USD per year
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Job Details
- Experience
- 8+ years of backend software development experience, with 3+ years in a Staff-level or tech lead role
- Required Skills
- AWSGraphQLPythonGCPJavaKafkaKubernetesRabbitmqAirflowAzureGoRESTful APIsMicroservicesHelm
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
- Proficiency in Python, Go, or Java
- Strong foundation in building and operating microservices in production
- Deep experience with API design and integration (REST, GraphQL, streaming, LLM APIs, embedding services)
- Experience with secure API patterns (OAuth, API keys, rate limiting)
- Strong background in distributed systems
- Experience with message queues (Kafka, RabbitMQ) or orchestration frameworks (Celery, Airflow)
- Demonstrated ability to use AI tools (e.g., Copilot, Cursor, Claude, ChatGPT) for engineering workflows
- Track record of mentoring engineers
- Excellent system design, debugging, and communication skills
Responsibilities
- 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 to the engineering team—through design reviews, pairing sessions, and code reviews
- Set technical direction and champion engineering rigor across the team: quality, documentation, and best practices in secure coding and distributed systems
- Accelerate own 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: help colleagues integrate AI tools into their daily work, build internal tooling where it adds leverage, and measure the efficiency gains
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