Manager, Software Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Support the daily operations of the software engineering team, ensuring alignment with project objectives and timelines.

• Collaborate with the team in a player-coach capacity to deliver software solutions.

• Offer technical mentorship and guidance to team members.

• Work with stakeholders to collect requirements, define project scope, and establish technical roadmaps.

• Supervise the design, development, and deployment of scalable software solutions.

• Conduct code reviews to ensure adherence to best practices, quality standards, and coding guidelines.

• Identify and resolve software issues to sustain system performance and reliability.

• Advocate for agile methodologies and participate in ongoing process enhancements.

• Collaborate with cross-functional teams to integrate various software components.

• Prepare and deliver project status updates to leadership and stakeholders.

• Utilize AI-assisted engineering methods throughout requirements analysis, pipeline and code development, testing, debugging, documentation, and operational monitoring.

• Collaborate with AI on solution design and architecture, producing design artifacts for evaluation.

• Validate AI-generated outputs for accuracy, security, maintainability, compliance, and business suitability.

• Design and maintain data platforms and governed datasets for machine learning, analytics, and generative AI tasks.

• Provide reusable prompts, skills, agents, engineering playbooks, and AI-assisted development methodologies.

• Ensure compliance with enterprise policies regarding intellectual property protection, security, privacy, PHI management, and Responsible AI standards.

⛳️ Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field.

• Over 5 years of experience in software development.

• At least 1 year of experience in a leadership position within a team.

• Proficient in one or more programming languages, such as C# or Python, along with relevant frameworks.

• Familiarity with contemporary software development methodologies, including Agile or Scrum.

• Knowledge of cloud platforms such as Azure, AWS, or GCP.

• Experience with data engineering technologies like Spark, Databricks, or Microsoft Fabric.

• Understanding 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 capabilities, with a focus on scalability and performance.

• Excellent communication and interpersonal skills, enabling effective collaboration across teams.

• Familiar with version control systems like Git and CI/CD tools for deployment automation.

• Proactive leadership style, promoting a positive and inclusive team culture.

• Proven experience using AI-assisted development platforms such as GitHub Copilot, Cursor, Claude Code, or similar tools to deliver production-quality work.

• Strong prompt engineering abilities, with experience in AI-assisted testing and AI-driven 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 that support AI-enabled solutions.

• Capability to work remotely with a high-speed internet connection of at least 10 Mbps.

• Successful completion of identity verification, comprehensive background checks, and in-person I-9 verification; may be subject to drug screening before employment.

🏝️ Benefits

• Work/life balance.

• Flexible work arrangements.

• Autonomy to accomplish tasks effectively.

• Comprehensive benefits package, including health insurance benefits, for eligible employees.