CrowdStrike Logo

CrowdStrike

Sr. Software Engineer, Vendor Semantics and Developer Experience (Remote)

Posted An Hour Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in USA
145K-220K Annually
Senior level
Remote or Hybrid
Hiring Remotely in USA
145K-220K Annually
Senior level
Build and own a vendor schema registry and semantic validation pipeline that ingests OpenAPI/Swagger/Smithy specs, tracks schema evolution, detects semantic and breaking changes, and provides SDKs and developer tooling to safely map vendor APIs into a canonical knowledge graph used by downstream teams.
The summary above was generated by AI

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.


About the Role:

As the Senior Software Engineer, Vendor Semantics & Developer Experience, you will be the primary builder of a system that treats global infrastructure as a formal graph, where every node and edge is traced back to a versioned source of truth. Our Ontologists design the formal architecture of what truth looks like. Our Knowledge Engineers build the frameworks and transformation engines that make that truth computable. You are the engineer who keeps that system honest and keeps it usable.

Your domain is vendor semantic data: the OpenAPI, Swagger, and Smithy specifications that describe what cloud providers, security tools, and infrastructure platforms expose to the world. You build the systems that parse, track, validate, and canonicalize that information into a reliable source of truth. And you build the developer tooling that makes it possible for downstream product and ingest teams to work confidently against that truth.

This role is for someone who cares deeply about correctness, not just "does the code run" but "does the model mean what we think it means", and who understands that great internal tooling is a force multiplier for every team that touches this platform.

The Challenges You'll Solve

Hundreds of vendors publish API specifications, and they change constantly, inconsistently, and without warning. How do you build a system that tracks those changes, detects when a vendor's schema evolution breaks ontological assumptions, and surfaces that signal before downstream teams ship on a stale model? How do you give engineers a development experience that makes working with a complex knowledge graph feel tractable rather than treacherous? 

What You'll Do:
  • Own the Vendor Schema Registry: You will build and maintain the systems that ingest, parse, and version vendor API specifications like OpenAPI, Swagger, Smithy, and others. You will track schema evolution across providers, detect breaking and semantic changes, and ensure that the canonical ontological model stays synchronized with the ground truth of what vendors actually expose.

  • Build the Semantic Validation Pipeline: Correctness, not throughput, is your SLO. You will implement the validation systems that verify new and updated vendor schemas against the canonical ontology, catching mapping gaps, type conflicts, and semantic regressions before they propagate into the graph and mislead downstream consumers.

  • Build the Developer Experience: You will design and maintain the internal tooling, SDKs, scaffolding, and documentation systems that make it fast and safe for product teams and ingest engineers to work with this knowledge platform. When a team needs to understand what a vendor resource maps to in the graph, or how to add support for a new provider, you are the reason they can do it with confidence and without lengthy onboarding.

  • Close the Loop Between Schema and Graph: You will work closely with the Knowledge Engineers and Ontologists to translate real-world vendor schema constraints and edge cases into actionable input for the canonical model. When the messy reality of vendor APIs requires the ontology to flex, you are the one who surfaces that tension clearly.

  • Raise the Floor for Downstream Teams: Product groups and ingest teams build on top of what you maintain. You will invest in the documentation, tooling, and validation guardrails that allow those teams to move quickly without requiring deep knowledge of the underlying semantic systems.

What You'll Need:
  • A strong software engineering background with hands-on experience building systems that parse, validate, and transform structured specifications or schemas at scale.

  • Proficiency in Go, Rust, and/or Python; comfort in polyglot environments.

  • Deep experience with API specification formats -- OpenAPI/Swagger, Smithy, JSON Schema, or similar, including parsing, diffing, and reasoning about schema evolution.

  • A practical understanding of graph data models and the downstream consequences of upstream schema decisions.

  • A demonstrated instinct for developer experience , you have built internal tooling, SDKs, or frameworks that other engineers actually used, and you measure success by their productivity.

  • A rigorous, correctness-first engineering mindset: you think in terms of invariants, edge cases, and what happens when a vendor silently changes something.

  • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Bonus Points:
  • Experience building systems that track and diff API specification changes over time (schema registries, changelog automation, breaking-change detection).

  • Familiarity with semantic web technologies (RDF, SHACL, OWL, SPARQL) or ontology engineering toolchains.

  • A background in infrastructure, cloud platform engineering, or security tooling , you know how cloud providers think about their APIs.

  • Experience with declarative configuration systems or code generation pipelines that translate high-level intent into low-level artifacts.

  • A track record of making complex internal systems more approachable , you have been the person who writes the tool or guide that makes an entire team faster.

#LI-Remote
#LI-RC1

Benefits of Working at CrowdStrike:

  • Market leader in compensation and equity awards

  • Comprehensive physical and mental wellness programs 

  • Competitive vacation and holidays for recharge  

  • Paid parental and adoption leaves

  • Professional development opportunities for all employees regardless of level or role

  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

  • Vibrant office culture with world class amenities

  • Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance.

Find out more about your rights as an applicant.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $145,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

For detailed information about the U.S. benefits package, please click here

Expected Close Date of Job Posting is:09-06-2026

Similar Jobs at CrowdStrike

An Hour Ago
Remote or Hybrid
USA
145K-220K Annually
Senior level
145K-220K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead product vision, roadmap, and delivery for Product and Services Analytics. Drive requirements, prioritize backlog, partner with engineering on technical solutions, define KPIs, engage executives and stakeholders, mentor junior product staff, and guide go-to-market and documentation for analytics features in a cybersecurity context.
Top Skills: AIAPIsData PipelinesSalesforceSnowflakeSQLTableau
An Hour Ago
Remote or Hybrid
USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design, build, and operate large-scale LLM infrastructure and data platforms for training, fine-tuning, and inference. Provision GPU clusters, optimize GPU utilization, implement model lifecycle management, deploy inference frameworks, create evaluation and observability systems, and collaborate with data scientists to productionize AI capabilities. Mentor engineers and enforce MLOps/DataOps best practices.
Top Skills: AirflowAnsibleAWSCudaDaskDockerFlinkGCPGpuJaxKubernetesLangchainLlamaindexMegatronMlflowNvidia DriversOciPythonPyTorchRaySagemakerSlurmSparkTerraformTpuTriton Inference ServerVertex AiVllm
An Hour Ago
Remote or Hybrid
USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Build and scale AI platform infrastructure for internal agents across AWS/GCP. Integrate identity (Okta, OAuth2/OIDC), implement agentic security, containerized deployments (Docker/Kubernetes), CI/CD and Terraform-based pipelines, run vendor evaluations, and design observability/telemetry for LLM-driven workflows while collaborating with security, identity, and engineering teams.
Top Skills: AWSCi/CdDockerGCPKubernetesLlmsOauth2OidcOktaPythonRest ApisTerraformTypescript

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account