Manager, Software Engineering

Applied Systems, Inc.

8d•$125,000 - $175,000•Remote

About The Position

We're seeking a seeking a dynamic and experienced Manager, Software Engineering to lead a team building data-driven software products and platforms. You’ll guide engineers to develop scalable data solutions as we continuously deliver analytics and AI capabilities across our product portfolio. You’ll partner closely with Product Management, Architecture, and Engineering leaders to plan and deliver roadmap commitments, solve technical challenges, and grow a high-performing team.

Requirements

8+ years of experience designing and developing data-intensive solutions
3+ years leading software engineers to deliver new features and/or system enhancements
Hands‑on experience building production‑grade services in GoLang, with the ability to guide engineers through design, implementation, and troubleshooting
Deep, practical experience developing cloud‑native applications, especially Kubernetes
Demonstrated strength in coaching and developing technical team members
Advanced knowledge of software development practices, cloud platforms, and secure, scalable data services
Experience with Agile/Scrum and tools such as Jira and Confluence.
Proven ability to plan and estimate work, manage technical and operational issues, and drive continuous improvement
Bachelor’s degree in Computer Science or a related field, or equivalent experience.

Responsibilities

Lead and develop a high-performing team building and scaling data products
Own delivery of new features and enhancements aligned to the product roadmap while maintaining reliability, increasing scalability, and reducing defects
Collaborate with Product Management and Architecture on quarterly planning, estimates, and technical designs
Monitor delivery metrics, identify dependencies, address blockers, and drive continuous improvement in processes and documentation
Provide hands-on technical leadership and address tradeoffs and technical issues in modern cloud-based environments for data-intensive applications
Support adoption of new technologies with a culture of high performance and continuous learning