Skylo is hiring a Staff Network Reliability Engineer, Service Assurance AIOps & Automation

Responsibilities

• Lead the full lifecycle of a centralized automation framework, including strategic roadmap development and long-term vision alignment across network operations and engineering teams.
• Serve as the technical governance lead for automation architecture, defining standards for engineering practices, API design, data models, and cross-domain consistency to prevent siloed solutions.
• Design a modular extensibility model allowing domain teams to build custom workflows using standardized, reusable components without duplicating core logic.
• Evaluate build-versus-buy decisions for critical tooling—including orchestration, data storage, observability, and AI platforms—and communicate cost and operational impacts to leadership.
• Define the operational framework for automation, including ownership models, readiness criteria, promotion workflows, and cross-functional coordination to align engineering and operations.
• Design a reusable component library for health checks, diagnostics, remediation actions, and notifications, with versioned and governed interfaces for safe composition.
• Establish a unified API layer for integrating alerts, executing actions across systems, and reporting outcomes to downstream tools like ITSM and collaboration platforms.
• Enforce code quality and delivery standards through testing frameworks, CI/CD pipelines, security scanning, and GitLab-based deployment workflows, setting benchmarks via reference implementations.
• Define a DAG-based orchestration model using tools like Apache Airflow to enable auditable, composable workflows for diagnostics, decisions, remediation, and validation.
• Architect fully automated closed-loop responses for lower-severity incidents, from detection through root cause analysis, remediation, and resolution, with full traceability and no manual intervention.
• Manage a tiered automation model progressing from recommendation to human-approved actions to full autonomy, with defined confidence metrics and promotion rules based on incident performance.
• Champion AI-assisted development practices using tools like Claude and GitHub Copilot, demonstrating rapid prototyping capabilities to accelerate solution delivery.
• Design intelligent diagnostic agents and correlation engines that integrate signals from multiple domains to generate accurate root-cause hypotheses and reduce alert noise.
• Integrate AI into core operational processes with defined governance, human oversight points, and trust thresholds to ensure safe and reliable deployment.
• Build real-time data pipelines and an operational data lake to store telemetry, incidents, KPIs, and automation logs for analysis, forecasting, and performance measurement.
• Implement DataOps practices including version-controlled pipelines, data validation, schema management, and monitoring to ensure data reliability matching network standards.
• Define standardized dashboarding with Grafana using a single source of truth to deliver consistent operational visibility across teams and leadership levels.
• Enforce automation governance policies requiring rollback plans, audit logs, human validation for critical actions, and fallback mechanisms when confidence thresholds are breached.
• Embed security into automation workflows through least-privilege access, secrets management, audit trails, and controlled third-party access with explicit oversight.
• Assess downstream impact of automation on provisioning, inventory, billing, and reporting systems to prevent unintended operational or financial side effects.
• Act as the central intake and design authority for automation requests, transforming manual toil into prioritized, measurable automation initiatives with clear ownership and targets.
• Collaborate with platform, security, and operations teams to align on event schemas, API contracts, and policy enforcement before automation deployment.
• Mentor senior and staff-level developers, raising technical standards and establishing review processes for automation across all engineering locations.
• Drive continuous improvement by measuring automation coverage, impact on resolution times, false positive rates, override frequency, and adoption metrics for all workflows.

Benefits

• Competitive pay with equity through stock options
• Comprehensive health and welfare benefits
• Monthly stipends for wellness and educational expenses
• Generous paid time off and holiday allowances
• Eligibility for temporary international assignments
• Rare opportunity to help build and operate the world’s first live direct-to-device satellite network
• Exposure to elite talent across software, hardware, chipsets, telecom, satellite, and virtualization domains

Compensation

Competitive compensation packages including a stock option based equity program

Work Arrangement

Remote (Worldwide) — five continents

Team

Open, transparent, inclusive culture blending Silicon Valley, Nordic and South Asia characteristics

Other

• Equal opportunity employer with inclusive culture blending Silicon Valley, Nordic and South Asia characteristics.
• Flexible approach to work.
• Open, transparent, inclusive culture.
• Opportunity to temporarily work abroad.

Not specified