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Strong employer brand, generalist backend role, early-mid level, and broad tech requirements increase candidate competition.
Backend, Python, messaging, and cloud skills are easily transferable across industries.
Explicit 2+ years requirement plus many mandatory backend and data stack skills increases filter strictness.
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Develop and maintain scalable backend services primarily using Python, integrating APIs, WebHooks, and real-time data pipelines with Kafka and Redis.
Collaborate within Scrum teams to deliver sprint commitments, and continuously improve development processes and system reliability using observability tools like Dynatrace.
Contribute to cloud configuration (Azure/GCP), CI/CD automation, and embed analytics capabilities while exploring emerging AI technologies like Pydantic AI and LangChain.
Bachelor's degree in Computer Science or a related field.
2+ years of software engineering experience focusing on backend development.
Proficient in Python with experience in Kafka, Redis, MongoDB, SQL, WebHooks, Prometheus, YAML, and an understanding of distributed systems and event-driven architecture.
Work Experience Required: Minimum 2 years in relevant backend development roles.
Experienced in scalable backend development within agile Scrum environments, adept at meeting sprint goals and escalating impediments proactively.
Familiar with cloud platforms (Azure/GCP) and infrastructure automation including CI/CD pipelines and containerization concepts relevant to AI workloads.
Comfortable working with advanced AI frameworks (Pydantic AI, LangChain) and integrating analytics and monitoring tools for system observability and performance tuning.