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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong proficiency in Python and Go for building and maintaining APIs and services, with a focus on secure software development and reliable production support. Capable of translating product requirements into effective service designs while collaborating with remote teams and domain specialists.
Highest-signal resume keywords
Python ProficiencyGo ProficiencyAPI Design and ImplementationAsynchronous ProcessingSaaS Product Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonGoAPI DevelopmentAutomated TestingDebuggingSecure Software DevelopmentDistributed SystemsData Quality ManagementEvent-Driven ArchitecturesMultitenant Applications
Soft Skills
CollaborationDocumentationProblem-SolvingCommunicationAdaptability
Tools & Technologies
AzureThreat Intelligence ToolsCybersecurity ProductsAI Development ToolsData Platforms
Industry Keywords
SaaSThreat DetectionCybersecurityData ModelsMachine Learning Integration
Tech Stack
Tools & technologiesAzureCyber SecurityPythonGo
About the role
Key responsibilities & impact- Build and maintain Python and Go services and APIs for product features and detections
- Design features around shared identities, evidence, relationships, and history
- Reuse existing data capabilities and resolve interface requirements with Platform Engineering
- Turn researcher-developed detection methods into tested production services with defined inputs, outputs, and evaluation criteria
- Build APIs exposing threat evidence and supporting customer investigation workflows with Product and frontend engineers
- Implement reliable reevaluation and customer updates when underlying evidence or intelligence changes
- Test failure handling, detection regressions, and authorization boundaries
- Design for safe retries, idempotency, and predictable behavior in asynchronous and event-driven workflows
- Enforce tenant isolation and access controls; preserve evidence and source context for results
- Add observability, investigate production issues, and improve reliability and performance as usage grows
- Contribute designs, code reviews, estimates, and documentation
- Identify unclear requirements and dependencies
- Verify AI-generated code before incorporating it into production software
- Own defined capabilities from technical design through testing, release, and production support
Requirements
What you’ll need- Experience building SaaS products and/or product features on shared data platforms
- Experience building, shipping, and supporting backend software in production
- Strong proficiency in Python or Go, with willingness to develop proficiency in the other language
- Experience designing or implementing APIs and integrating services with databases and external or internal systems
- Understanding of asynchronous processing, distributed system failure modes, and practical reliability patterns
- Ability to write maintainable code and automated tests, review others’ work, and debug production behavior
- Understanding of secure software development, authorization, and protecting customer data
- Ability to translate product requirements into service designs and implementations, working with domain specialists to resolve unclear requirements
- Understanding of how data quality, freshness, relationships, and access permissions affect feature behavior and customer results
- Ability to document decisions and coordinate assigned work in a remote team
- Willingness to learn AI-assisted development practices and critically evaluate generated code
- Relevant experience with both Python and Go may help
- Experience with cybersecurity products, threat intelligence, or detection engineering may help
- Experience with Azure, event-driven architectures, or multitenant applications may help
- Experience building customer features on a data platform, including consuming shared APIs, data models, graph services, or analytical services may help
- Experience working with researchers or integrating ML outputs into production workflows may help
- Practical experience using AI development tools alongside automated testing and code review may help
- Authorization to work in the country where based; the position is not eligible for visa sponsorship
Benefits
Comp & perks- Flexible time off
- Sick days
- All public holidays
- Stock options
- Fully distributed, location-independent work environment
- Benefits tailored to the country where you will be working
- Reasonable accommodations for qualified individuals with disabilities as needed