SpyCloud - Principal Software Engineer – Next-Generation API & AI Platform Architecture
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Requirements
• 10+ years of experience building distributed systems, APIs, or large-scale data platforms. • Deep experience designing and implementing customer-facing APIs as long-lived products. • Strong understanding of schema governance, versioning strategies, and contract design. • Experience productionizing ML models and exposing inference services. • Experience designing or integrating agentic or autonomous workflows. • Experience building service layers on top of systems of record or semantic data layers. • Strong background in distributed systems reliability, observability, and scalability. • Proficiency in Go & Python (and/or backend service languages). • Hands-on experience with Databricks/Snowflake • Strong experience with AWS infrastructure and infrastructure-as-code tools • AWS services including Redshift, S3, EC2, and related cloud-native tooling. • Data stores including Elasticsearch, PostgreSQL, Redis, and graph databases (e.g., Neo4j or AWS Neptune). • Experience building high-performance APIs and service layers over heterogeneous data systems. • Familiarity with Databricks/Snowflake and/or SageMaker is a plus. • Experience in cybersecurity, identity, fraud, or risk systems is a plus. • SpyCloud is not sponsoring visas at this time. • U.S.-Based Benefits + Perks (for Full Time Employees): • At SpyCloud, we are committed to working alongside individuals who are equally passionate about preventing cybercrime, regardless of their department or role. Guided by our core values in all business decisions, we prioritize unity in our mission and ensure all SpyCloud employees have the support and benefits they need to stay focused on our goals. In addition to our engaging workspace in South Austin, flexible and remote-friendly work options, and competitive salary package, we offer our employees a comprehensive benefits package that includes: • 401(k) with Employer Contribution • Health Savings Account (HSA) available with Employer Contribution • Employer Paid Life, Short-term, and Long-term Disability Insurance • Generous PTO Plan and 16 paid holidays per year • U.K.-Based Benefits + Perks (for Full Time Employees): • Retirement Savings Plan with Employer Contribution • Employer Provided Private Health Insurance and Healthcare Cashplan • Employer Paid Life Insurance and Income Replacement • Generous Holiday Plan and 14 paid holidays per year • SpyCloud transforms recaptured darknet data to disrupt cybercrime. Its automated identity threat protection solutions leverage advanced analytics and AI to proactively prevent ransomware and account takeover, detect insider threats, safeguard employee and consumer identities, and accelerate cybercrime investigations. SpyCloud's data from breaches, malware-infected devices, and successful phishes also powers many popular dark web monitoring and identity theft protection offerings. Customers include seven of the Fortune 10, along with hundreds of global enterprises, mid-sized companies, and government agencies worldwide. Headquartered in Austin, TX, SpyCloud is home to more than 200 cybersecurity experts whose mission is to protect businesses and consumers from the stolen identity data criminals are using to target them now.To learn more and see insights on your company’s exposed data, visit spycloud.com. • Our Mission: • Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminals’ ability to profit from stolen information.
Responsibilities
• Next-Generation API Architecture • Architect and implement customer-facing data and intelligence APIs with clear versioning, SLAs, and backward compatibility. • Define and enforce API contracts for: • Low latency, high throughput endpoints • Agentic workflows (tools, actions, state transitions, handoffs) • Context retrieval and enrichment • Design APIs as durable platform interfaces, not thin wrappers over storage systems. • Establish standards for schema governance, payload design, and service boundaries. • Agentic & ML Platform Integration • Architect service layers that support agentic workflows, including orchestration interfaces, guardrails, and runtime observability. • Build API surfaces that expose model outputs safely and consistently. • Collaborate with MLEs and Data Scientists to move models from experimentation into robust inference services. • Ensure proper lifecycle management, monitoring, and rollback mechanisms for ML-powered endpoints. • Data Platform & Context Hubs • Design and implement service layers that sit on top of the gold-layer system of record. • Build and evolve context hubs derived from authoritative systems of record, enabling consistent entity, identity, or risk context for downstream services. • Ensure APIs are aligned with medallion architecture principles and platform data contracts. • Prevent fragmentation by maintaining strong coupling to canonical schemas and governed data models. • Distributed Systems & Reliability • Design high-throughput, low-latency services supporting batch and streaming workloads. • Implement scalable infrastructure patterns on AWS. • Ensure strong observability, error handling, performance tuning, and cost awareness. • Drive infrastructure-as-code practices and production readiness standards. • Technical Leadership • Serve as a senior architectural voice in design reviews. • Raise the bar on code quality, system design, and operational rigor. • Mentor engineers on API design, distributed systems, and ML integration patterns. • Influence platform direction through technical depth rather than organizational authority
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