Manager, Software Engineering

Job not on LinkedIn

🔥 3 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

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👻 Ghost score 10%

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Evolent

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

⚕️ Healthcare Insurance

🏥 Healthcare

☁️ SaaS

Healthcare Insurance • Healthcare • SaaS

Evolent is a healthcare company focused on improving care outcomes through its comprehensive management solutions across multiple medical specialties. They aim to enhance the patient care journey by offering coordinated services in areas like oncology, cardiology, musculoskeletal disorders, and primary care, while ensuring high-quality treatment pathways and cost management. Evolent believes every person deserves quality care, striving to align treatment guidelines and innovative approaches to meet patient needs effectively.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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

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