Engineering Manager

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ScienceLogic

501 - 1000 employees

Founded 2003

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

💰 $21.2M Venture Round - ScienceLogic on 2022-10

Artificial Intelligence • SaaS • B2B

ScienceLogic is a provider of AI-driven observability and AIOps software that helps organizations observe, automate, and troubleshoot complex hybrid IT environments. Its ScienceLogic AI Platform (branded Skylar) combines hybrid cloud monitoring, network and application observability, automated root-cause analysis, workflow automation, compliance and configuration management, and extensive integrations to reduce mean time to repair (MTTR) and consolidate IT tools. The company delivers its platform as a SaaS solution (with rapid deployment options), targets enterprise and service-provider IT operations, and emphasizes AI/automation to drive operational efficiency, resiliency, and cost reduction.

📋 Description

• Manage teams consisting of 4-10 total software engineers working on real-time data collection, processing, streaming, data warehousing, and automated analysis. • Foster a healthy team culture of trust, collaboration, accountability, and continuous improvement. • Provide mentorship, coaching, and career development for team members. • Guide team planning, own delivery commitments, and own execution quality. • Contribute hands-on to the design and problem solving for our services. • Collaborate with cross-functional teams on system architecture and integration with other platform components. • Drive improvements in reliability, performance, and observability of our telemetry stack. • Partner with Product Managers and other Engineering Managers to define roadmap and priorities. • Represent your team(s) in architecture reviews and planning sessions. • Communicate effectively with technical and non-technical stakeholders. • Provide regular status updates on progress • Seek feedback and drive changes to improve our processes

🎯 Requirements

• 8+ years of experience in software engineering, with 2+ years in a management role. • Proficient in one or more programming languages such as Go, Python, Javascript, or Java. • Comfortable with agile development methodologies and managing projects using tools like Jira or similar. • Strong technical understanding of backend services, APIs, distributed systems, data pipelines, and production operations. • Experience with cloud-native engineering practices, including Kubernetes, containers, Helm, Docker, CI/CD, and Linux-based service deployment. • Familiarity with LLM-based systems, inference services, agentic AI workflows, or AI-assisted operations.

🏖️ Benefits

• Comprehensive medical, dental and vision plans. • 401(k) plan with employer match. • Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. • Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. • 5-year Service Milestone Sabbatical. • Paid parental leave. • Generous employee referral bonus program. • Pet insurance. • HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. • Regular virtual company-wide events, including cooking classes, yoga, meditation and more. • The opportunity to learn and develop from some of the best and brightest minds in the industry!

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