Embedding VC Logo

Embedding VC

Platform Architect

Posted 7 Days Ago
Be an Early Applicant
In-Office or Remote
6 Locations
Expert/Leader
In-Office or Remote
6 Locations
Expert/Leader
Own the architecture for version engineering, module governance, reproducible builds, dependency graphs, change impact analysis, selective testing, and GitOps deployments across 2,000+ microservices and regulated global sites. Define version sets, compatibility constraints, build provenance, module boundaries, API evolution practices, multi-site deployment strategies, and layered compliance testing. Lead modular architecture transformation while ensuring reproducibility, controlled blast radius, and financial-grade reliability.
The summary above was generated by AI

About the Role

The company operates 2000+ microservices deployed across dozens of compliance-regulated sites globally. They are transforming this into a modular financial cloud platform — organizing services into 50-100 independently versioned business modules, where each compliance site is a version set (a pinned, validated combination of module versions).

As Platform Architect, you will own the version engineering and module governance architecture — the system that ensures every deployment is reproducible, every change's blast radius is computable, and every site composition is a known-good state. This is fundamentally a build systems + dependency management + change propagation problem at financial-grade reliability.

 

Key Responsibilities

  • Design the version set model: each site defined as a locked, tested combination of module versions (analogous to a Bazel workspace snapshot or Cargo.lock), with version compatibility matrices and automatic constraint solving

  • Architect reproducible build pipelines: any module at any version produces byte-identical artifacts regardless of when/where it's built; hermetic build environments, content-addressable artifact storage, SLSA Level 3+ provenance

  • Build and maintain the live dependency graph spanning 2000+ services: static analysis (code/API/schema) + runtime analysis (traffic-weighted call patterns), transitive dependency resolution with automatic conflict detection

  • Design the monorepo + package ownership governance model: clear module boundaries via DDD, CODEOWNERS enforcement, cross-module change protocols, module boundary enforcement tooling (lint rules, CI checks, architectural fitness functions)

  • Architect change impact analysis systems: given any PR, compute which modules/sites/tests are affected; selective test execution (run only dependency-graph-proven relevant tests); change confidence scoring (blast radius + coverage + stability → risk grade)

  • Design the GitOps-driven multi-site deployment model: site config repos declaring module versions + compliance parameters, automated deployment strategies (patch auto-deploy, minor with review, major with migration plan, security force-push)

  • Architect the four-layer testing framework: Module self-test → Platform compliance tests (parameterized by country) → Cross-module integration tests → Site-specific tests, with automated coverage enforcement that blocks deployments when gaps are detected

 

Major Requirements

  • 10+ years in large-scale distributed systems / platform infrastructure

  • Deep expertise in build systems and dependency management at scale: Bazel, Buck, Pants, Nx, or equivalent (1000+ packages)

  • Production experience with reproducible build engineering: content-addressable storage, hermetic builds, deterministic CI, artifact provenance (SLSA)

  • Experience building dependency graph tooling: static/runtime dependency analysis, impact computation, selective testing

  • Strong background in semantic versioning governance across large service fleets: version resolution, compatibility constraints, lockfile-style pinning

  • Experience with API contract evolution: protobuf/gRPC versioning, schema evolution strategies, contract testing

  • Experience with multi-region/multi-tenant platform architectures serving regulated workloads

  • Track record of migrating monolithic systems to modular architectures without business disruption

  • Preferred: Experience with Amazon's internal VersionSet / Brazil build system / Apollo deployment, or similar systems at Google (Blaze/Bazel), Meta (Buck/Configerator)

  • Preferred: Background at Stripe or Adyen — multi-country financial platform with compliance parameterization

Similar Jobs

5 Days Ago
In-Office or Remote
120K-155K Annually
Senior level
120K-155K Annually
Senior level
Hardware • Software
Own Azure infrastructure, DevOps, CI/CD, security, monitoring, and production reliability for the LodeStar AI platform. Administer Fidus’s Jira, Confluence, and Bitbucket environments, establish DevOps standards, support engineering workflows, manage PostgreSQL, and participate in incident response and on-call operations. The role also contributes to hybrid cloud infrastructure, identity management, regulated-environment compliance, and AI service operations.
Top Skills: Azure Container AppsAzure Key VaultAzure Kubernetes Service (Aks)BashBitbucketCi/CdConfluenceDockerEntra IdGithub ActionsInfrastructure As CodeJenkinsJIRALinuxAzureMicrosoft TeamsPostgresPrivate NetworkingPythonSlosTerraform
20 Days Ago
In-Office or Remote
2 Locations
Entry level
Entry level
Software
Leads the architecture and development of scalable, fault-tolerant platform services using Kubernetes, DevOps automation, and distributed systems. Responsibilities include designing multi-tenant shared services, optimizing cloud and on-prem infrastructure, ensuring availability and cost efficiency, troubleshooting complex issues, reviewing code, documenting architecture, collaborating across teams, and mentoring engineers.
Top Skills: ArgocdCert-ManagerDevOpsEc2EksGitopsKeycloakKubernetesL4/L7 Load BalancersMqttS3
One Month Ago
Remote
250K-300K Annually
Senior level
250K-300K Annually
Senior level
Big Data
Own the technical sales motion for NVIDIA-focused enterprise AI infrastructure deals. Lead discovery, architecture, proof-of-concept design and execution, technical closes, partner and field SE enablement, troubleshooting, escalation, customer workshops, and product feedback. The role requires expertise in NVIDIA systems, storage, data platforms, Linux, parallel file environments, GPU clusters, and AI pipelines, with Bay Area availability for on-site partner or customer sessions.
Top Skills: AWSAzureContainersGCPGpu ClustersKubernetesLinuxNasNfsNvidia Ai Data PlatformNvidia DriversNvidia FabricsNvidia NetworkingNvidia RuntimesNvidia SchedulingNvidia SystemsObject StorageParallel File SystemsPnfsSan

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account