Manager, Engineering

s technology strategy.

• Own delivery commitments for your team,ensuring projects are delivered on time, within scope, and with highquality.

• Establish and enforce engineering bestpractices including code reviews, design reviews, testing strategies, and CI/CDpractices.

• Collaborate with Product Management, UX,QA, and other engineering teams to define requirements, prioritize backlogs,and plan sprints/releases.

• Identify and resolve technical debt,performance bottlenecks, and system reliability issues proactively.

• Drive adoption of modern developmentpractices, tools, and frameworks to improve team productivity and codequality.

• Manage production incidents, root causeanalysis, and implement preventive measures to ensure system stability anduptime.

PeopleManagement & Team Building

• Recruit,hire, and onboard top engineering talent to build and grow the team.

• Conduct regular 1:1s, provide continuousfeedback, and lead performance reviews for direct reports.

• Define career development plans, set goals,and mentor engineers to help them grow technically and professionally.

• Foster a collaborative, inclusive, andhigh-accountability team culture that encourages innovation and ownership.

• Identify skill gaps within the team andcreate training and development opportunities to address them.

• Manageresource allocation, capacity planning, and workload distribution acrossprojects and priorities.

Strategy& Cross-Functional Collaboration

• Partner withsenior leadership and stakeholders to define technical roadmaps and long-termengineering strategy.

• Provide regular status updates, riskassessments, and progress reports to leadership and cross-functionalstakeholders.

• Evaluate and recommend new technologies,tools, and platforms to drive engineering efficiency and innovation.

• Drive process improvements across theengineering organization, including Agile/Scrum practices, estimation, anddelivery workflows.

• Collaborate with DevOps and Infrastructureteams to ensure robust deployment pipelines, monitoring, and operationalexcellence.

• Represent the engineering team incross-functional planning sessions, architecture reviews, and organizationalinitiatives.

You've Got What It Takes If You Have...

Requirements:

• Bachelor'sor Master's degree in Computer Science, Software Engineering, or a relatedfield, or equivalent practical experience.

• 5+ years of software engineering experiencewith at least 3+ years in a people management or engineering leadership role.

• Proven track record of leading teams thathave successfully delivered complex software products at scale.

TechnicalExpertise

• Strongfoundation in software engineering principles, system design, and distributedsystems architecture.

• Hands-on experience with one or more of thefollowing: Java, C#, Python, JavaScript/TypeScript, or Go.

• Deep understanding of cloud platforms, microservicesarchitecture, and API design patterns.

• Solid knowledge of databases (SQL andNoSQL), caching strategies, and data modeling.

• Experience with CI/CD pipelines,containerization (Docker, Kubernetes), and infrastructure-as-codepractices.

• Familiarity with Agile/Scrum methodologiesand project management tools (Jira, Azure DevOps, or similar).

• Understanding of security best practices,performance optimization, and scalability patterns.

Leadership& Soft Skills

• Excellentcommunication skills with the ability to articulate technical concepts to bothengineering teams and non-technical stakeholders.

• Strong problem-solving and decision-makingabilities with a bias toward action and results.

• Demonstrated ability to attract, retain,and develop high-performing engineering talent.

• Experience managing competing priorities,navigating ambiguity, and making trade-off decisions under constraints.

• Collaborative mindset with the ability toinfluence and align cross-functional teams toward shared goals.

• Strongsense of ownership and accountability for team outcomes and deliverycommitments.

Niceto Have

• Experiencein SaaS/enterprise product development environments.

• Exposure to AI/ML technologies and theirintegration into product offerings.

• Experience with large-scale systemmigrations, platform modernization, or greenfield product builds.

• Familiarity with talent management, HR tech, or learning management domains.

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