Software Engineering Manager
Insight Global - Raleigh, NC
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Job Description u2022 Design and implement agentic workflows & orchestration logic u2022 Build toolu2011using agents connected to internal/external systems u2022 Define agent boundaries, permissions, and safety controls u2022 Implement observability, evaluation, and reliability mechanisms u2022 Collaborate with product, platform, and data teams We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022 Strong management experience (non-negotiable) u2003u2022 Experience managing multiple teams (3 teams) u2003u2022 Experience managing junior managers (2u20133 direct manager reports) u2003u2022 Ability to oversee ~25 total engineers u2003u2022 Backend engineering & platform software development background u2003u2022 Hands-on coding ~20% of the time u2003u2022 Architectural + design experience u2003u2022 Familiar with cloud (AWS), Java (incl. Java 21), Kubernetes, Solr, Kafka, data pipelines, Apache Flink or ETL frameworks u2003u2022 Comfortable working with US + India distributed teams u2003u2022 Must come from mid-sized to large companies (not startup-heavy) Should actively use AI tools/day-to-day (best practice expectations) u2022 Search technologies background u2003u2022 AI/ML experience (not required) u2003u2022 Data warehousing experience Experience supporting UK region products
Created: 2026-02-16