Principal Software Engineer – Integration

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of one or more integration domains from start to finish, including managing the roadmap, making architectural decisions, evaluating trade-offs, and ensuring delivery.

• Recognize challenges, define the scope of work, and lead projects to successful completion.

• Make architectural choices related to system boundaries, API contracts, reliability objectives, and build-vs-buy considerations.

• Design and implement microservice-based solutions utilizing REST, GraphQL, streaming APIs, MCP, and LLM-enhanced automation.

• Integrate the platform with cybersecurity tools and external services.

• Provide mentorship to engineers through design reviews, collaborative sessions, and code evaluations.

• Establish the technical direction and advocate for quality, thorough documentation, secure coding practices, and best practices in distributed systems.

• Enhance design and development processes using LLM coding assistants, AI-driven testing, and automated code reviews.

• Streamline builds, deployments, monitoring, and incident response with AI and scripting.

• Promote the adoption of AI, develop internal tools, and assess improvements in efficiency.

• Participate in an on-site interview as a successful finalist.

⛳️ Requirements

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.

• Over 8 years of experience in backend software development.

• At least 3 years in a Staff-level or tech lead capacity, where you owned a domain or led a team.

• Expertise in Python, Go, or Java.

• Solid foundation in creating and managing microservices in a production environment.

• Extensive experience with API design and integration, including REST, GraphQL, streaming, LLM APIs, and embedding services.

• Knowledge of secure API practices, including OAuth, API keys, and rate limiting.

• Strong experience in distributed systems, messaging queues like Kafka and RabbitMQ, or orchestration frameworks such as Celery and Airflow.

• Proven ability to leverage AI tools such as Copilot, Cursor, Claude, and ChatGPT within production engineering workflows.

• A history of mentoring engineers and enhancing team technical skills.

• Exceptional skills in system design, debugging, and communication.

• Preferred: Experience in cybersecurity areas such as SOAR, EDR, SIEM, or XDR.

• Preferred: Background in large-scale data processing, real-time pipelines, or event-driven architectures.

• Preferred: Familiarity with AWS, Azure, GCP, Kubernetes, and Helm.

• Preferred: Experience with MCP, function calling, agent orchestration frameworks, LLMs, or AI services.

🏝️ Benefits

• Pre-IPO Stock Options

• Medical, Dental & Vision care

• 401(k)

• Employee Assistance Program

• Employee Discount Program

• Life Insurance

• Paid time off

• Referral Program

• Rewards and Recognition Program

• Bonus opportunity

• Career growth opportunities