Principal Software Engineer – Next-Generation API, AI Platform Architecture

SpyCloud

Principal engineer architecting scalable APIs, distributed services, and agentic AI integrations for SpyCloud’s cybersecurity platform. Leading production-grade data intelligence interfaces that disrupt cybercrime and protect billions of accounts.

Posted 8/5/2026full-timeAustin • Texas • 🇺🇸 United StatesLead💰 $169,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and implementing customer-facing APIs with a focus on versioning, schema governance, and operational rigor. Proficient in building scalable AWS infrastructure and productionizing machine learning models into robust services.

Highest-signal resume keywords

API Design and ImplementationAWS Infrastructure ProficiencySchema Governance and VersioningMachine Learning Model ProductionizationDistributed Systems Reliability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

API DevelopmentSchema GovernanceVersioning StrategiesDistributed SystemsMachine Learning IntegrationService Layer DesignHigh-Throughput ServicesObservabilityPerformance TuningInfrastructure-as-Code

Soft Skills

MentoringCollaborationInfluencing Standards

Tools & Technologies

AWS RedshiftAWS S3AWS EC2DatabricksSnowflakeElasticsearchPostgreSQLRedisNeo4jAWS Neptune

Industry Keywords

CybersecurityIdentity SystemsFraud SystemsRisk SystemsMedallion Architecture

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudCyber SecurityDistributed SystemsEC2ElasticSearchGoNeo4jPostgresPythonRedis

About the role

Key responsibilities & impact

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, context retrieval, and enrichment
Design durable platform interfaces and establish standards for schema governance, payload design, and service boundaries
Architect service layers supporting agentic workflows, orchestration interfaces, guardrails, and runtime observability
Build API surfaces that expose model outputs safely and consistently
Collaborate with MLEs and Data Scientists to productionize models into robust inference services
Manage lifecycle, monitoring, and rollback mechanisms for ML-powered endpoints
Design service layers over gold-layer systems of record and build context hubs from authoritative data
Align APIs with medallion architecture principles, platform data contracts, canonical schemas, and governed data models
Design high-throughput, low-latency services for batch and streaming workloads
Implement scalable AWS infrastructure patterns, observability, error handling, performance tuning, cost awareness, infrastructure-as-code, and production readiness standards
Serve as a senior architectural voice, raise standards for code quality and operational rigor, mentor engineers, and influence platform direction

Requirements

What you’ll need

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 and 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 such as 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

Benefits

Comp & perks

Flexible and remote-friendly work options
Competitive salary package
401(k) with Employer Contribution
Health, Vision, and Dental Insurance
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
Retirement Savings Plan with Employer Contribution
Employer Provided Private Health Insurance and Healthcare Cashplan
Employer Paid Life Insurance, Income Replacement, and Critical Illness Protection
Employee Assistance Program
25 days annual accrued holiday plus 8 paid bank holidays and a paid company shutdown during winter holidays