Job Description
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.
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.
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.
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.
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