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Software Engineering Manager
Jellyvision
- Chicago, Illinois, United States
- Chicago, Illinois, United States
Über
Deep understanding of how large-scale software systems are designed, built, tested, deployed, and delivered to customers , Experience using delivery and performance metrics to drive a team , At least 2 years managing offshore development teams using Agile methods (Scrum, Kanban, XP) , Genuine hands-on familiarity with AI coding assistants and LLM-based tools—you've used them, formed opinions, and helped others use them well , Ability to evaluate AI-generated code: understanding failure modes, reviewing for correctness and security, and coaching engineers to do the same , An affinity for modern software development best practices: daily deployments, robust CI/CD, test-driven development, feature flagging, and AI-assisted workflows , Strong decision-making skills; acts consistently with available facts, constraints, and probable consequences , Demonstrated analytical, critical thinking, organizational, and project management ability , Experience with tools like Snowflake, Looker, Datadog, AWS, and Infrastructure as Code , Exceptional leadership skills: co-creates a vision, reinforces it, and aligns teams and stakeholders around it , Core Competencies: , Communicates Effectively , Cultivates Innovation , Drives Results , Leads with Trust , Mission Focus , Strategic Mindset
What the job involves
The Software Engineering Manager grows and develops talented engineers to drive meaningful business outcomes , You'll build an environment where engineers do their best work—clearing obstacles, sharpening skills, and connecting individual contributions to what matters most for the product and our customers , You'll own delivery accountability across your product teams and serve as the Agile Owner, keeping quality high and momentum moving , Directly manage a team of software engineers—owning their development, quality bar, and technical direction , Coach and mentor engineers to sharpen skills, design better systems, and develop sound judgment about when and how to use AI tools effectively , Organize and assign work alongside the Technical Lead and Product Owner, breaking it into right-sized pieces that maximize efficiency , Balance feature work with maintenance, tech debt, and internal support , Set a high bar for technical quality across our JavaScript (React) and Python stack; you're accountable for the team's output , Model and encourage fluent, responsible use of AI coding assistants (e.g., Claude, GitHub Copilot) to accelerate delivery and reduce toil , Help engineers develop sound judgment about AI-generated output—when to trust it, when to push back, and how to prompt effectively , Stay current on AI tooling; evaluate new tools with a practical, outcomes-focused lens and bring relevant advances to the team , Identify opportunities for AI to improve team workflows: code review, test generation, documentation, incident analysis , Contribute to org-wide conversations about AI governance, appropriate use, and engineer skill development , Handle team logistics: performance management, hiring, right-sizing, training, and promotions , Partner with the Product Owner to ensure work is designed, developed, and tested to high quality standards and aligned with the architecture vision , Proactively communicate delivery targets, commitments, and progress , Drive operational excellence through team metrics (DORA, SLIs, CI/CD health, security vulnerabilities, infra cost/usage) , Mitigate risks proactively, escalate when needed, and collaborate across teams to find solutions #J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
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