Engineering Manager

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.

We are looking for an experienced and hands-on Engineering Manager to lead Skylar AI teams. These teams are responsible for building and maintaining the high-throughput data pipelines, customer-facing AI features, and software. This includes managing the platform, and operationalizing AI to empower insights for our customer base. You’ll play a key role: leading a team of talented engineers, diving into problems, helping the engineers bring forward a good solution.

Responsibilities

• Team Leadership

  • 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.

• Technical Contribution

  • 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.

• Collaboration & Communication

  • Partner with Product Managers and other Engineering Managers to define roadmap and priorities.

  • Partner closely with related teams including our data science team, other engineering teams, and other similar teams.

  • 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

Qualifications

• 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.

Nice to Have

• Strong experience in building distributed systems or telemetry/observability infrastructure.

• Experience with AI technologies such as LLM fine tuning, classifiers, embeddings, etc.

• Solid understanding of metrics, logs, traces, and time-series data processing.

• Experience with OpenTelemetry (Otel) for collecting and exporting telemetry data.

• Familiarity with cloud-native environments

• Experience working in AI platform, machine learning infrastructure, automation, observability, or operational intelligence organizations.

• Experience with ClickHouse, Prometheus, OpenTelemetry Collector, Kubernetes operators, Helm charts, or telemetry data modeling.

• Prior experience in managing high-scale telemetry systems in SaaS or infrastructure-focused companies.

• Experience with other observability platforms or projects.

• 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!

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