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Mid-level backend role, popular skillset, and strong employer brand increases applicant competition.
Core backend, cloud, and SQL skills are transferable across industries though cybersecurity context adds moderate domain bias.
Explicit 2–3 year requirement plus mandatory Python, SQL, cloud and Kubernetes skills raises shortlisting strictness.
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Develop and maintain microservices, tools, and analytics services enabling secure enterprise data access and analysis.
Own service lifecycle including development, production support, reliability improvements, and enhancements.
Optimize data workflows and integrate with Databricks, OpenSearch, PostgreSQL, and cloud platforms like AWS and Kubernetes.
2-3 years of software development experience.
Strong Python and SQL proficiency.
Experience in building and supporting production backend services, microservices, or platform integrations in cloud-native environments.
Familiarity with AWS, Docker, Kubernetes, and CI/CD required.
Experienced in analytics platforms and enterprise datasets, able to implement scalable data solutions.
Comfortable with production support and lifecycle ownership for backend microservices.
Skilled in optimizing data access patterns and working with cloud and container orchestration technologies.