Manager - Engineering

• Weekly alignment with your Product Owner on priorities, roadmap, and backlog, and with the leads you're developing as they take on more scope.

• Sprint execution accountability across both working groups, including capacity planning.

• Handling major or complex escalations, including regular syncs to work through what's outstanding.

• Tracking delivery metrics (velocity, uptime, bug counts, deployment frequency) and reporting progress, risk, and dependencies to stakeholders.

• Architecture and design review for pull requests, ensuring sound technical decisions across the team's work.

• Promoting engineering best practices: testing, code review, documentation, and CI/CD.

• Sponsoring and helping lead cross-team technical initiatives, such as major platform migrations and release-process automation.

• Running demo sessions and hands-on skill-building with the team on key technical areas.

• Identify where AI creates real leverage in your team's engineering workflows, and act on it yourself, not just approve it from a distance.

• Work alongside engineers to design and deliver AI-enabled solutions to real product and delivery problems.

• Build your team's capability to use AI as a working tool, including hands-on training for engineers who are still building that muscle.

• Today, the org runs flat: you manage all 20 engineers directly, organized across two informally-led working groups.

• A key responsibility of this role is to identify and develop emerging leaders, establish a Team Lead layer, and evolve the organization into a more scalable team structure over time.

• Experience:

◦ Bachelor’s degree in Computer Science, Engineering, or an equivalent technical discipline

◦ 10+ years of software engineering experience, including at least 3-5 years leading engineering teams.

◦ Proven track record of delivering high-impact software products, with the willingness to roll up your sleeves and work directly with engineers when needed.

◦ Experience managing engineering teams of this size directly, and a track record of developing individual engineers into first-line leaders, even where that title doesn't formally exist yet.

◦ Self-starter with the ability to operate effectively in ambiguous environments.

• Technical Competence:

◦ Strong understanding of modern software architecture and distributed systems.

◦ Proficiency in Python and REST APIs, with familiarity across other technology stacks.

◦ Proficiency in database technologies and event-driven architecture.

◦ Deep understanding of the software development lifecycle (SDLC), CI/CD, and testing methodologies.

◦ Hands-on, personal experience building or shipping at least one AI-enabled feature: you were in the technical problem, contributing to design and trade-offs, not sponsoring or approving someone else's work.

• Leadership & Management:

◦ Exceptional leadership, coaching, and mentoring skills, with a visible track record of developing engineers with diverse experience levels and career aspirations.

◦ Demonstrated ability to build, motivate, and retain high-performing engineering teams, with strong delivery instincts across sprint accountability, capacity planning, and cross-team coordination.

◦ Strong critical thinking and problem-solving abilities.

◦ Excellent communication, interpersonal, and negotiation skills with engineers, peers, and senior leadership.

• Experience in a GCC, IDC, or other geographically distributed engineering environment.

• Product engineering background: ownership of outcomes, not just delivery of tasks.

• Familiarity with AIOps, monitoring, observability, or enterprise SaaS domains.

• Engineering background with hands-on depth in Python, REST APIs, or cloud-native development, enough that you're credible in architecture and design conversations, even though you won't be writing production code day to day in this role.

• Familiarity with Agile/Scrum at scale, where ceremonies drive outcomes rather than checkbox rituals.

• Familiarity with JavaScript and frameworks like React.

• Exposure towards Spec Driven Development(AI-DLC) and or TDD

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.

www.sciencelogic.com