Manager - Engineering

ScienceLogic; India; On-site; INR 3,600,000 - 6,000,000; Full time

Job summary

ScienceLogic is seeking an Engineering Manager for the PowerPack team in Hyderabad. You will oversee ~20 software engineers and SDETs, drive AI-enabled engineering, and report to the Director of Product Engineering (India).

This people-first leadership role focuses on building trust, developing leaders, and delivering high-impact software. The role requires a track record of leadership in engineering, strong technical depth in Python, REST APIs, and distributed systems, and a passion for

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline.
• 10+ years of software engineering experience, including 3–5 years leading engineering teams.
• Proven track record delivering high-impact software products and hands-on engineering when needed.
• Experience managing teams of this size and developing engineers into first-line leaders.
• Self-starter with ability to operate in ambiguous environments.

Responsibilities

• People & Growth: conduct regular 1:1s, coach, and onboard for new hires; manage contractor-to-FTE conversions; nurture team health and conflict resolution.
• Delivery & Execution: align with Product Owner weekly, manage backlog and sprint accountability, handle escalations, track velocity, uptime, bugs, and deployments.
• Technical Leadership: architecture/design reviews, promote best practices, lead platform migrations and automation, run demos and skill-building.
• AI-Enabled Engineering: identify AI leverage points, design AI-enabled solutions with engineers, train the team to use AI effectively.
• Org Design: develop emerging leaders, introduce Team Lead layers, evolve to scalable organization.

Skills

Python

REST APIs

Distributed systems

SDLC

CI/CD

AI-enabled features

Education

Bachelor's degree in CS/Engineering

Job description

About ScienceLogic

ScienceLogic is redefining IT operations for the modern enterprise. Our AIOps platform empowers organizations to achieve Autonomic IT — where systems are self-healing, self-optimizing, and seamlessly aligned with business outcomes. We help enterprises and service providers gain unified visibility across hybrid and multi-cloud environments, automate workflows, and unlock performance at scale. We’re accelerating digital transformation through the power of automation, AI, and analytics — giving IT and business leaders the tools to deliver superior customer experiences, drive efficiency, and innovate with confidence.

What we’re looking for

ScienceLogic is hiring an Engineering Manager for our PowerPack team based in our Hyderabad office. This role will manage a team of approximately 20 software engineers and SDETs responsible for the development, quality, and ongoing evolution of the PowerPack portfolio. You will report to the Director of Product Engineering (India) and will be a member of the India engineering leadership team. This is a people-first leadership role with meaningful technical responsibility. We are looking for an experienced engineering leader who can build trust, develop future leaders, drive execution, and thoughtfully apply AI-enabled practices to improve engineering outcomes.

What you’ll be doing

• People & Growth:
  
  
  
  • Conduct regular 1:1s with team members, providing coaching, feedback, and career development support.
  
  
  • Hiring: run screening and calibration with recruiting partners, and own onboarding for new hires.
  
  
  • Management of Contractors performance monitoring and support through contractor-to-FTE conversion process.
  
  
  • Performance management and career development conversations that go beyond the annual review.
  
  
  • Team health across the org: morale and psychological safety, not just velocity metrics.
  
  
  • Conflict resolution and mediation to keep the team cohesive under pressure.
  
  
  
  


• Delivery & Execution:
  
  
  
  • 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.
  
  
  
  


• Technical Leadership:
  
  
  
  • 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.
  
  
  
  


• AI-Enabled Engineering:
  
  
  
  • 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.
  
  
  
  


• Org Design: 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.

Qualities you possess

• 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.
  
  
  
  

As a plus, you have

• 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

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.

About ScienceLogic

ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, fleeting 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