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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining high-performance RESTful APIs and microservices, with a strong focus on server-side Python development and relational database design. Proficient in integrating AI workflows and ensuring production observability through effective logging, monitoring, and incident response.
Highest-signal resume keywords
Server-Side Python DevelopmentRESTful API DevelopmentRelational Database DesignProduction ObservabilityAI Development Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonRESTful APIMicroservicesPostgreSQLRedisAsync/Event-Driven SystemsLoggingMonitoringDebuggingTesting
Tools & Technologies
AI Development ToolsCopilotCursorLLM APIs
Industry Keywords
Media WorkflowsData PipelinesCaching LayersPerformance ProfilingRoot-Cause Analysis
Tech Stack
Tools & technologiesJavaScriptMicroservicesPostgresPythonRedisTypeScript
About the role
Key responsibilities & impact- Design, build, and maintain high-performance RESTful APIs, microservices, and event-driven architectures for AI-powered media workflows.
- Build robust data pipelines, database schemas, and caching layers (PostgreSQL, Redis) for handling large-scale media content.
- Collaborate with ML researchers and engineers to integrate model inference and training workflows into production backend systems.
- Implement application-level logging, metrics, and alerting; actively participate in performance profiling, root-cause analysis, and production incident resolution alongside our DevOps team.
- Optimise server-side code, async queues, and database queries for low latency, high throughput, and high availability.
- Partner with frontend/product teams to ensure API contracts make complex generative AI capabilities intuitive to consume.
Requirements
What you’ll need- 5+ years of software engineering experience, with primary expertise in server-side Python development.
- Proven track record building scalable RESTful APIs, microservices, and async/event-driven systems.
- Strong relational database design (e.g., PostgreSQL) and caching/memory store experience (e.g., Redis).
- Experience with production observability (logging, monitoring, alerting) and a disciplined approach to debugging, testing, and incident response.
- Pragmatic experience using AI development tools (e.g., Copilot, Cursor, LLM APIs) to boost coding velocity while maintaining strict code quality, test coverage, and architectural rigor.
- Understanding of core AI concepts (e.g., the operational differences, latency requirements, and resource profiles of model training vs. inference).
- Rudimentary knowledge of modern JavaScript/TypeScript and web development concepts—enough to collaborate seamlessly with UI engineers or build internal prototypes.
Benefits
Comp & perks- Health insurance
- Professional development opportunities
