Principal Software Engineer - Next-Generation API & AI Platform Architecture

• Architect and implement customer-facing data and intelligence APIs with clear versioning, SLAs, and backward compatibility.

• Define and enforce API contracts for: o Low latency, high throughput endpoints o Agentic workflows (tools, actions, state transitions, handoffs) o 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.

• 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 Back End service languages).
• Hands-on experience with Databricks/Snowflake.
• Strong experience with AWS infrastructure and infrastructure-as-code tools.

Nice to Have

• AWS services including Redshift, S3, EC2, and related cloud-native tooling.
• Data stores including Elasticsearch, PostgreSQL, Redis, and graph databases (eg, 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.

U.S.-Based Benefits + Perks (for Full Time Employees)

• 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

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

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