We are looking for a seasoned Principal Software Engineer for our client to shape the foundational architecture behind our Unified API platform. This role centers on building high-performance distributed systems, powering data-intensive services, and enabling seamless, secure integrations across modern IT and security ecosystems.
 

This is a fully remote position (U.S. only) and best suited for engineers who excel in fast-moving startup environments where autonomy, rapid iteration, and strong technical judgment are essential.

 

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About the Role

In this role, you will serve as a technical leader responsible for advancing our core backend platform. You’ll design and deliver complex systems—from microservices to large-scale data pipelines—and play a pivotal part in scaling our real-time infrastructure. Your work will directly influence how products across industries connect, integrate, and exchange data.

 

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What You’ll Do

• Lead the design and development of distributed microservices and high-throughput backend systems.
   

• Drive improvements in system performance, low-latency processing, and large-scale reliability.
   

• Architect data storage strategies including data lake and warehouse solutions supporting analytics and ML.
   

• Build and optimize real-time streaming pipelines capable of processing massive data volumes.
   

• Deploy and operationalize machine learning models within production environments.
   

• Collaborate closely with the broader engineering and product teams to deliver platform-wide enhancements.

 

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What We’re Looking For

We are in search of an engineer with deep experience building systems from scratch, ideally in early-stage startup settings. Candidates should bring a history of architecting and shipping highly reliable, technically sophisticated products.

Required Qualifications

• 10+ years of professional experience in software engineering.
   

• Bachelor’s or Master’s in Computer Science or equivalent experience.
   

• Demonstrated expertise in architecting and building distributed systems, backend services, and large-scale data infrastructure.
   

• Strong capabilities in performance tuning, scalability, and reliability engineering.
   

• Hands-on experience designing data lakes and data warehouses for analytics or ML applications.
   

• Proven ability to create and maintain real-time data streaming pipelines handling terabyte-scale workloads.
   

• Background in integrating machine learning systems into production workflows.
   

• Proficiency with backend technologies such as Golang, Git, Kubernetes, and Opentelemetry.
   

• Significant experience building APIs and web services.
   

• Strong knowledge of data processing, databases, and cloud-native architectures.
   

• Deep familiarity with AWS, GCP, or Azure services.
   

• Extensive use of Kubernetes, IaC, CI/CD pipelines, and GitOps practices.
   

• Exceptional communication skills, including written, verbal, and interpersonal abilities.
   

• Prior experience in cybersecurity companies is a major plus.

 

* Must be authorized to work in the U.S.