Engineering Manager – B2B SaaS

• Lead and manage software engineers on assigned domain teams
• Provide hands-on technical guidance and direction
• Conduct code reviews and enforce engineering standards, coding conventions, documentation, code quality, and testing requirements
• Mentor senior engineers and technical leads
• Participate in technical design, architecture, and implementation discussions
• Drive continuous improvement in engineering practices, tools, and processes
• Drive adoption of AI-powered coding tools to achieve targeted 60% productivity gains
• Champion AI coding technologies and provide training, mentorship, and best practices
• Use JellyFish analytics to measure productivity, AI adoption, efficiency gains, bottlenecks, improvement targets, and ROI
• Evaluate emerging AI coding tools and techniques
• Own delivery of StoreForce SaaS application releases and hotfixes
• Manage release planning, scheduling, coordination, hotfix prioritization, and deployment with project managers and DevOps
• Provide workload, effort, and delivery timeline estimates
• Identify and mitigate delivery and quality risks
• Recruit, mentor, evaluate, and develop engineering talent
• Set objectives, monitor progress, and conduct performance evaluations
• Build a cohesive, high-performing distributed team culture
• Own and continuously improve the SDLC process
• Drive technical debt reduction and system maintainability
• Maintain and secure code repositories and version control processes
• Collaborate with Systems Architects, DevOps Managers, QA, Product, and Deployment teams
• Report delivery status, risks, and team performance to the VP of Engineering and Delivery
• Resolve critical production issues according to service level agreements
• Lead post-mortems and implement preventive measures

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 8–10 years of software development experience
• 5+ years in technical leadership or management roles
• Hands-on experience with AI-powered coding tools such as GitHub Copilot, Cursor, and Amazon CodeWhisperer, with demonstrated productivity gains
• Proven track record driving AI adoption across engineering teams and evangelizing new practices
• Experience with engineering productivity platforms such as JellyFish or similar analytics tools
• Strong hands-on experience with .NET, ASP.NET, .NET Core, Azure, and SQL Server
• Proven track record leading distributed teams across multiple locations and time zones
• Experience conducting code reviews and establishing engineering standards in production environments
• Deep understanding of software testing practices, including unit testing and test automation
• Experience managing monolithic architecture evolution and addressing technical debt
• Proven success delivering SaaS software releases in retail software or similar domains
• Strong experience with DevOps practices and Microsoft DevOps tools, including Azure DevOps and GitHub Actions
• Experience managing remote and distributed teams is essential
• Excellent oral and written communication skills
• Ability to work with technical and non-technical audiences
• Strong problem-solving skills and root-cause analysis
• Motivational, supportive, collaborative leadership style
• Accountability for delivery outcomes

• Education and Professional Development Support
• Flexible Working Hours
• Remote Work Options
• Sports and Fitness Memberships
• Employee Pension Plan
• Employee Referral Program
• Private Medical Healthcare
• Equal employment opportunity and inclusive work environment
• Accommodations available on request for candidates with disabilities
• AI-assisted recruitment process designed to support fair and efficient hiring