3 days ago

Engineering Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead hands-on Engineering Manager for Skylar AI teams building high-throughput data pipelines, customer-facing AI features, and software for ScienceLogic’s AIOps platform. You’ll manage and mentor 4–10 engineers, drive team planning and delivery quality, and contribute to system design across backend services, APIs, distributed systems, and telemetry observability. Partner with Product and Data Science to define roadmap and improve reliability, performance, and production operations.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Manage teams of 4–10 software engineers working on real-time data collection, processing, streaming, data warehousing, and automated analysis.
•Contribute hands-on to service design and problem solving for data pipelines, customer-facing AI features, and software.
•Collaborate with cross-functional teams on system architecture and integration across platform components.
•Drive reliability, performance, and observability improvements for the telemetry stack.
•Partner with Product Managers and related teams to define roadmap and priorities; communicate progress and drive process improvements.

Pay and Benefits

Salary: USD 160,000 - 180,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid LeaveParental LeavePet InsuranceVolunteer Time

Key Requirements

•8+ years of software engineering experience with 2+ years in a management role.
•Proficient in one or more: Go, Python, Javascript, or Java.
•Comfortable with agile development and managing projects using Jira or similar tools.
•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 deployments.

Experience:8+ yearsAIOpsAISaaSObservabilityTelemetry

Skills:LeadershipMentorshipCommunicationCollaborationProblem-solving

Tech Stack:GoPythonJavascriptJavaJiraKubernetesContainersHelmDockerCI/CDLinuxAPIsLLM-based systemsInference servicesAgentic AI workflowsOpenTelemetryOpenTelemetry CollectorClickHousePrometheusTelemetry data modeling

Company Brief

Science Logic

Provides an AI-driven IT operations management (ITOM) platform that delivers monitoring, event correlation, and automation to help enterprises detect, diagnose, and resolve infrastructure and application issues across hybrid and multi-cloud environments.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Reston, United States

Founded: 2003

Website LinkedIn

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Science Logic

3 days ago

Engineering Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Manage teams of 4–10 software engineers working on real-time data collection, processing, streaming, data warehousing, and automated analysis.
•Contribute hands-on to service design and problem solving for data pipelines, customer-facing AI features, and software.
•Collaborate with cross-functional teams on system architecture and integration across platform components.
•Drive reliability, performance, and observability improvements for the telemetry stack.
•Partner with Product Managers and related teams to define roadmap and priorities; communicate progress and drive process improvements.

Pay and Benefits

Salary: USD 160,000 - 180,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid LeaveParental LeavePet InsuranceVolunteer Time

Key Requirements

•8+ years of software engineering experience with 2+ years in a management role.
•Proficient in one or more: Go, Python, Javascript, or Java.
•Comfortable with agile development and managing projects using Jira or similar tools.
•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 deployments.

Experience:8+ yearsAIOpsAISaaSObservabilityTelemetry

Skills:LeadershipMentorshipCommunicationCollaborationProblem-solving

Company Brief

Science Logic

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Reston, United States

Founded: 2003

Website LinkedIn