--- title: 'Manager - Engineering at ScienceLogic' canonical: 'https://feeny.ai/job/manager-engineering-sciencelogic-india-sf3vr978v5n8' type: 'job' last_seen: '2026-09-09' --- # Manager - Engineering at ScienceLogic - **Company:** ScienceLogic - **Location:** India - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-26 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/sciencelogic/e0f79e93-ab67-43a0-9530-321650f12115 ## 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… You’ll lead a team of approximately 20 engineers comprised of full-time employees and, covering responsibilities across: 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 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. ## 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, 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 http://www.sciencelogic.com ## About ScienceLogic ## Company Overview - **One-liner**: ScienceLogic delivers an agentic AI engine for IT Operations (ITOM and AIOps) that unites observability, AI, and automation into a single platform to anticipate, prevent, and resolve IT issues. - **Entity Type**: Private (Funding stage: Series E / Debt Financing; last raised $105M in a Series E round in February 2021) - **Headquarters**: Reston, Virginia, United States - **Founded**: 2003 - **Founders**: Dave Link (CEO), Richard Chart (Chief Scientist & Co-Founder) ## Core Business - **Primary industry**: IT Operations Management (ITOM), AIOps, and Observability Software - **Target customers**: B2B – Enterprise IT, Service Providers, and Public Sector agencies worldwide - **Mission**: To make IT intelligent, resilient, and transformative — helping organizations move from fragmented, reactive operations to intelligent, coordinated IT that delivers reliable services and frees teams to innovate. ## Products & Services - **ScienceLogic Platform**: A unified, agentic AI engine that provides full-stack observability across hybrid environments (on-premises, cloud, and edge). - **Skylar One**: A simplified UI delivering real-time visibility across hybrid IT infrastructure, consolidating tools and data. - **Skylar AI**: The agentic AI layer that observes, advises, and acts — providing automated root-cause analysis and intelligent recommendations (Skylar Advisor). - **Skylar Automation**: Low-code/no-code workflow automation to turn alerts into action, automate remediation, and improve MTTR. - **Skylar Compliance**: Monitors, records, and backs up network configurations to simplify compliance audits and speed restoration. **Product Type**: SaaS (deployable in hours) ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metric**: **Annual Revenue: $121.2M** (estimated, third-party source); **Total Funding: $235.2M** across 6 rounds - **Notable Investors/Partners**: Investors include **Silver Lake**, **Mizuho Financial Group**, **Sutter Hill Ventures**, **Grotech Ventures**, and **New England Pension Fund** (via most recent Series E). Key partners include major cloud and IT ecosystem players (AWS, Dell, VMware, Cisco, IBM). - **Growth Signals**: - Named a **Leader in the Forrester Wave™: AIOps Platforms** (highest score in Strategy) - Recognized as a **Visionary in the 2025 Gartner® Magic Quadrant™ for Observability Platforms** - **157% average ROI** per commissioned Total Economic Impact™ study (Forrester) - **20+ years** of innovation in the IT operations space - Operating in **14 countries** (including US, India, UK, Taiwan, Australia, Ireland, Netherlands) - **33,600+ LinkedIn followers** with steady monthly growth (+0.6%) - Acquired **AppFirst (2016)** and **Restorepoint** to expand capabilities ## Competitive Advantages - **Patented Discovery**: Proprietary discovery techniques provide deep visibility across all technologies and vendors — on-premises, cloud, and everything in between — regardless of stack. - **Agentic AI Focus**: Skylar AI is positioned as an autonomous "agentic" layer that doesn't just alert but *acts*, setting them apart from legacy monitoring tools. - **FedRAMP Moderate Authorization**: Authorized for U.S. public sector workloads — a significant trust and compliance moat. - **Breadth of Integrations**: Extensive library of pre-built integrations with 50+ major tools (Cisco, AWS, Dell, VMware, ServiceNow, Splunk, etc.). - **Customer Satisfaction**: Top Rated by customers on **TrustRadius for 7 consecutive years**; **4.4/5 rating** on Gartner Peer Insights. ## Strategic Focus - **Agentic AI & Automation**: Doubling down on AI-driven autonomous operations to reduce human toil and incident response time. - **Hybrid Cloud Visibility**: Deepening observability across hybrid and multi-cloud environments, especially targeting enterprises with complex legacy + cloud estates. - **Public Sector Expansion**: Leveraging FedRAMP authorization to grow in government and defense. - **Low-Code/No-Code Automation**: Expanding Skylar Automation to make IT process automation accessible to non-programmers. - **SaaS-first Delivery**: Accelerating cloud-native SaaS delivery to reduce deployment times from weeks to hours. ## Why Work Here - **Culture & Values**: Strong emphasis on "Customer Obsessed," "Innovate Together," "You Matter," "Empower Success," and "Be Bold." Multiple Employee Resource Groups (ERGs): **PowHer** (women), **SciLo Pride** (LGBTQIA+), **SciLo Vets** (veterans), **Spectrum** (neurodiversity), and **Black Logicians**. - **Work Environment**: Highly collaborative, agile work style. Remote/hybrid policy not explicitly stated, but based on global team presence (14 countries) and SaaS nature, flexible/remote options are likely available. Headquarters in Reston, VA with major hubs in India, UK, and other countries. - **Engineering-Led**: VP of Engineering, Skylar AI is a key role — strong focus on innovation and AI. Engineers get to work on cutting-edge agentic AI and large-scale observability. - **Impact**: Employees work on "solving some of the world’s biggest IT problems" for enterprises and governments. - **Notable Perks**: Equal Opportunity Employer, E-Verify participant. Transparency in Coverage compliance. Reasonable accommodations provided. - **Headcount**: ~430 employees (with a technical team of 208+). Key talent comes from **AWS, ServiceNow, Splunk, Cisco, IBM, Deloitte, and Datadog** — indicating a high-caliber peer group. - **Active Job Postings**: 13 open roles (as of mid-2026) including Sr. Systems Engineer, Sr. Engineer Test, Account Executive, and VP of Engineering, Skylar AI. ## Sources 1. [sciencelogic.com](https://sciencelogic.com/about/company) 2. [sciencelogic.com](https://sciencelogic.com/) 3. [linkedin.com](https://www.linkedin.com/company/sciencelogic) 4. [sciencelogic.com](https://sciencelogic.com/about/careers) 5. 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