You're a senior software engineer who architects and builds the core systems behind modern, scalable software platforms. You tackle challenging problems from backend architecture to intuitive user workflows and deliver reliable solutions that businesses trust.

You take pride in building elegant, reliable systems and writing code that lasts. You care about clarity, maintainability, and performance, always striving to make the software you build easy to use and easy to evolve. You thrive on solving hard problems, refining how things work behind the scenes, and delivering features that feel seamless and valuable to the people who use them.

Why You Matter

Your work powers the systems companies rely on when they face their most critical challenges. By designing and delivering containerized applications that handle breach data at scale, you're building tools that help organizations recover faster, learn from what happened, and strengthen their systems for the future. The software you create doesn't just process information it gives companies clarity and confidence when they need it most, making a real difference in their ability to respond and adapt.

Every design decision, line of code, and deployed service you contribute helps create a platform that is reliable, secure, and built to scale with real-world demands. Your engineering work empowers businesses to turn incidents into opportunities for growth and resilience.

What You'll Bring

Education: Bachelor's in Computer Science or equivalent experience (Master's is a plus)
Experience: 5+ years designing and building distributed, scalable systems in production environments
Languages: Proficient in Go and Python, with a strong focus on practical experience in real-world applications
Databases: Experience with databases across multiple paradigms: MongoDB (NoSQL/document-oriented), Redis (NoSQL/in-memory key-value), and relational databases including MySQL and PostgreSQL
API Integration: Expertisein designing and consuming REST APIs and gRPC services
AI/LLM: Experience integrating and deploying Large Language Model-based solutions (e.g., OpenAI, Google Gemini, AWS Bedrock), including building and consuming APIs for prompt handling, embeddings, and retrieval-augmented generation
Cloud: Strong experience with AWS, including EKS and infrastructure-as-code with Terraform, with a need for greater involvement in broader architectural decision-making and hands-on implementation
Service Deployment: Hands-on experience deploying containerized services on Kubernetes, particularly with Envoy Gateway and Linkerd service mesh
Workflow Orchestration: Experience with Temporal or related workflow execution platforms is valued; however, we also seek candidates enthusiastic about learning and using Temporal

Compensation

$160K - $200K plus company bonus incentives