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Manager, Software Engineering

Stelle nicht auf LinkedIn

🔥 vor 7 Stunden

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

👮‍♀️ Leiter Softwareentwicklung

🗣️🇺🇸🇬🇧 Englisch erforderlich

Woher diese Stelle stammt

Veröffentlicht auf der Karriereseite von Evolent, nicht über eine Jobbörse

Von Remote Rocketship zum ersten Mal gesehen vor 7 Stunden

Noch offen auf der Website von Evolent. Geprüft vor 11 Minuten.

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Evolent

1001 - 5000 Mitarbeiter

⚕️ Krankenversicherung

🏥 Gesundheitswesen

☁️ SaaS

Healthcare Insurance • Healthcare • SaaS

Evolent ist ein Gesundheitsunternehmen, das sich auf die Verbesserung der Versorgungsergebnisse durch umfassende Managementlösungen in verschiedenen medizinischen Fachgebieten konzentriert. Ziel ist es, die Patientenerfahrung zu verbessern, indem koordinierte Dienstleistungen in Bereichen wie Onkologie, Kardiologie, muskuloskelettale Störungen und Primärversorgung angeboten werden und gleichzeitig hochwertige Behandlungswege und Kostenmanagement sichergestellt werden. Evolent ist der Überzeugung, dass jeder Mensch eine qualitativ hochwertige Versorgung verdient und strebt danach, Behandlungsrichtlinien und innovative Ansätze effektiv auf die Bedürfnisse der Patienten abzustimmen.

Beschreibung

• Assist in managing day-to-day activities of the software engineering team and align work with project goals and timelines • Deliver software alongside the team in a player-coach role • Provide technical guidance and mentorship to team members • Collaborate with stakeholders to gather requirements, define project scope, and create technical roadmaps • Oversee the design, development, and deployment of scalable software solutions • Conduct code reviews for best practices, quality standards, and coding guidelines • Troubleshoot and resolve software issues to maintain system performance and reliability • Promote agile methodologies and contribute to continuous process improvements • Coordinate with cross-functional teams to integrate software components • Prepare and present project status updates to leadership and stakeholders • Apply AI-assisted engineering techniques across requirements analysis, pipeline and code development, testing, debugging, documentation, and operational monitoring • Iterate with AI on solution design and architecture and produce design artifacts for review • Validate AI-generated outputs for correctness, security, maintainability, compliance, and business appropriateness • Design and support data platforms and governed datasets for machine learning, analytics, and generative AI workloads • Contribute reusable prompts, skills, agents, engineering playbooks, and AI-assisted development patterns • Ensure AI usage complies with enterprise policies for intellectual property protection, security, privacy, PHI handling, and Responsible AI standards

🎯 Anforderungen

• Bachelor’s degree in Computer Science, Software Engineering, or a related field • 5+ years of experience in software development • At least 1+ years in a team leadership role • Proficiency in one or more programming languages, such as C# or Python, and relevant frameworks • Experience with modern software development methodologies, including Agile or Scrum • Knowledge of cloud platforms such as Azure, AWS, or GCP • Experience with data engineering technologies such as Spark, Databricks, or Microsoft Fabric • Knowledge and experience with modern data engineering patterns, including Data Vault, dimensional modeling, data products, lakehouse architecture, feature flags, event-driven systems, and DAGs • Strong problem-solving and analytical skills, with attention to scalability and performance • Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams • Familiarity with version control systems like Git and CI/CD tools for deployment automation • Proactive approach to leadership, fostering a positive and inclusive team environment • Demonstrated experience using AI-assisted development platforms such as GitHub Copilot, Cursor, Claude Code, or similar tools to deliver production work • Strong prompt engineering skills, with experience in AI-assisted testing and AI-enabled delivery practices • Experience with machine learning data pipelines, vector search technologies, document processing pipelines, or AI data preparation techniques • Working knowledge of data governance, lineage, quality, and observability practices supporting AI-enabled solutions • Ability to work from home with high-speed internet over 10 Mbps • Successful completion of identity verification, comprehensive background check, and in-person I-9 verification; may be subject to drug screening prior to employment

🏖️ Vorteile

• Work/life balance • Flexible work arrangements • Autonomy to get things done • Comprehensive benefits, including health insurance benefits, for qualifying employees

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