Own and evolve the Core Platform architecture: design and operate scalable APIs, event-driven distributed services, SDKs and AI-integrated workflows. Ensure reliability, observability, performance, and security; provide technical leadership, mentor engineers, and drive best practices.
We are seeking a Senior Platform Engineer to join our Core Platform team. In this role, you will own and evolve the end-to-end architecture of the Core Platform, including backend services, SDKs, AI-enabled capabilities, and supporting infrastructure.
You will design and operate scalable APIs, event-driven systems, distributed services, and AI-integrated workflows, ensuring high standards for reliability, performance, observability, and security. This role requires strong architectural judgment, hands-on technical leadership, and the ability to collaborate cross-functionally to deliver extensible platform capabilities that support both traditional integrations and AI-driven use cases.
You will help set technical direction, mentor engineers, and drive engineering best practices across the team.
You will design and operate scalable APIs, event-driven systems, distributed services, and AI-integrated workflows, ensuring high standards for reliability, performance, observability, and security. This role requires strong architectural judgment, hands-on technical leadership, and the ability to collaborate cross-functionally to deliver extensible platform capabilities that support both traditional integrations and AI-driven use cases.
You will help set technical direction, mentor engineers, and drive engineering best practices across the team.
Core Responsibilities
- Own the end-to-end architecture of the Core Platform, including backend services, SDKs, AI-enabled components, and related infrastructure.
- Design and implement scalable APIs, event-driven systems, distributed services, and AI-integrated capabilities (including AI/ML and MCP integrations).
- Architect systems that reliably incorporate AI models into production environments, with strong attention to observability, latency, cost management, and failure handling.
- Lead API design and implementation with a focus on usability, performance, and long-term maintainability.
- Architect and evolve microservices using domain-driven design principles.
- Build platform abstractions and primitives that enable AI-driven workflows and agent-based capabilities.
- Partner closely with Product, Infra, and Customer Success teams to deliver seamless, customer-centric integration capabilities.
- Provide technical leadership, mentorship, and architectural guidance to engineers.
- Establish and elevate engineering best practices across design, development, testing, and operations.
Required Qualifications
- 5+ years of professional software engineering experience.
- Proven experience building scalable, reliable, and secure distributed systems, including systems that integrate AI/ML capabilities.
- Experience integrating AI-powered features into production systems, with an understanding of performance, reliability, and governance considerations.
- Deep expertise in REST API design and implementation.
- Experience designing and operating event-driven architectures.
- Strong coding skills across multiple layers of the stack (backend services, SDKs, developer tooling, and AI-integrated systems).
- Strong understanding of microservices architecture and domain-driven design.
- Strong proficiency in Python (object-oriented and functional programming).
- Experience with Golang and TypeScript desired.
- Track record of technical leadership, mentorship, and cross-functional collaboration.
- Excellent communication skills with the ability to influence at both technical and strategic levels.
- Must be a US citizen living within the United States.
Similar Jobs
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Own the multi-year technical strategy and architecture for Coinbase’s enterprise IAM platform spanning human, AI agent, service, and workload identities. Drive adoption across 700+ systems, establish authentication and authorization standards, lead migrations and build-versus-buy decisions, automate audit and regulatory controls, reduce standing privilege, and mentor senior engineering talent. Partner across Security, Compliance, IT, Infrastructure, and product teams while influencing technical direction without direct authority.
Top Skills:
AWSDistributed SystemsGenerative AiGoIamOauth 2.0OidcSAMLScimWorkload Identity Federation
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and operate a security data platform connecting SIEM, identity, asset, threat intelligence, and knowledge graph systems. Design core APIs, distributed data pipelines, schemas, risk scoring, entity resolution, and coverage queries. Own architecture and platform workstreams from scoping through delivery, collaborate with detection and identity teams, review code, mentor engineers, and drive partner adoption. The role requires expert Python, deep Splunk expertise, cybersecurity experience, and senior-level project ownership.
Top Skills:
Asset InventoryAsynchronous Data PipelinesIdentity GovernanceKnowledge GraphsLarge Language ModelsMachine LearningMessage BusMitre Att&CkPythonRetrieval-Augmented GenerationSchema RegistrySIEMSplSplunkSplunk Apis
Cloud • Security • Software • Cybersecurity • Automation
Own and evolve GitLab’s authorization systems across its Ruby on Rails monolith and next-generation Rust policy engine. Design fine-grained permissions for users, tokens, roles, and AI agents; secure GraphQL and REST APIs; lead feature-flagged rollouts and migrations; improve performance and reliability; and collaborate across authentication, platform, AI, and modular-service teams in a distributed asynchronous environment.
Top Skills:
CedarGoGraphQLGrpcProtocol BuffersRestRubyRuby On RailsRustYamlZanzibar-Style Authorization
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
