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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable backend architectures, microservices, and RESTful APIs using Node.js and Python, with a strong focus on cloud deployment and AI model optimization. Proficient in debugging, observability, and performance optimization in high-scale environments.
Highest-signal resume keywords
Node.js ProficiencyPython ProficiencyMicroservices ArchitectureGCP DeploymentAI Model Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend Architecture DesignRESTful API DevelopmentData StructuresAlgorithmsPerformance OptimizationCloud EnvironmentsDebuggingObservabilityEvent-Driven SystemsDatabase Management
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
GCPFirebaseDockerKubernetesCI/CDKafkaRabbitMQSQS
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science
Industry Keywords
Consumer-Facing ProductsHigh-Scale EnvironmentsMedia WorkflowsAI WorkloadsSecurity Best Practices
Tech Stack
Tools & technologiesAWSAzureCloudDockerFirebaseGoogle Cloud PlatformJavaScriptKafkaKubernetesMicroservicesNode.jsPythonRabbitMQ
About the role
Key responsibilities & impact- Design and implement scalable backend architectures, microservices, and RESTful APIs for mobile and web clients using Node.js and Python
- Own service lifecycles from ideation and implementation through GCP/Firebase deployment and continuous optimisation
- Deploy, monitor, and support LLMs and media workflows including STT/TTS and image, video, and audio processing
- Manage model serving, inference performance, and latency/cost tradeoffs
- Implement event-driven asynchronous systems using queues and tasks for heavy media and AI workloads
- Simplify systems by removing unnecessary complexity and building maintainable architectures
- Identify and resolve distributed-system bottlenecks to improve latency, throughput, reliability, and costs
- Establish error handling, security practices, observability, testing, documentation, and code reviews
- Debug issues and improve production stability and observability
- Collaborate with Mobile, Frontend, Product, DevOps, and AI teams to ship features end to end
Requirements
What you’ll need- 3+ years of professional experience as a Backend Engineer
- Track record of building consumer-facing products at scale
- Strong hands-on proficiency in Node.js and Python
- Deep understanding of computer science fundamentals, data structures, algorithms, and system design
- Experience designing and working with microservices architectures and RESTful APIs
- Understanding of databases, data modelling, performance optimisation, and security best practices
- Hands-on experience with cloud environments such as GCP, AWS, or Azure; GCP and/or Firebase preferred
- Strong production debugging and observability habits
- Experience deploying and optimising AI models in production
- Familiarity with external AI APIs and performance considerations
- Ability to contribute effectively in high-scale environments handling large volumes of traffic and data
- Proficiency in English and Turkish
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Nice to have: mobile app backend API experience; GCP tools; Docker and Kubernetes; CI/CD and DevOps; SSE or WebSockets; Kafka, RabbitMQ, or SQS
Benefits
Comp & perks- Full-time contract with competitive salary
- Private health insurance
- Generous meal card
- Full visa and relocation support if moving to Barcelona
- Annual learning and development budget for courses, tools, or events
- Wellness perks, including sports budget and psychological consultations
- Free access to Codeway’s suite of apps across productivity, wellness, and education
- Top-notch office in the heart of the city
- International team building category-defining products
