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Technology Analyst - Operations

TurnItIn
🇬🇧In-Person - Newcastle upon Tyne, United Kingdom£35K–£48K/yri9h ago
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Role Snapshot

Technology Analyst – Operations role focused on maturing Engineering Operations within a large-scale SaaS environment. Partner with cross-functional teams to improve application health visibility, service reliability, operational analytics, and core operational processes.

Key Responsibilities: Build dashboards and health reporting, analyze operational trends, improve alert quality, and help operationalize reliability practices. Define and improve incident, problem, and change management processes while reducing tooling fragmentation and enhancing operational visibility.
Skills & Tools: Strong proficiency with observability and monitoring platforms, operational analytics, and process design; excellent data-driven decision making and cross-functional communication skills; comfort with AI-enabled operations and modern automation technologies.
Qualifications: Experience in Engineering Operations, SaaS environments, or similar operational roles with demonstrated ability to design scalable processes and influence teams without formal authority. Background in system thinking, operational tooling, and incident/change management preferred.
Location: In-Person - Newcastle upon Tyne, United Kingdom
Compensation: £35K–£48K/yr (estimated)

Job Description

Help Build the Future of Engineering Operations

Do you love solving messy operational problems, making sense of complex systems, and building scalable ways of working where none currently exist?

We’re looking for a Technology Analyst – Operations to help shape and mature Engineering Operations within a large-scale SaaS environment. This isn’t a “keep the lights on” operations role — it’s an opportunity to help define how operational excellence works across Engineering.

You’ll partner with Engineering, DevOps, Product, and Support teams to improve application health visibility, service reliability, operational analytics, and core operational processes like Incident, Problem, and Change Management.

If you get excited about dashboards, telemetry, system behavior, operational trends, process design, automation, AI-enabled workflows, and turning chaos into clarity — this role was built for you.

What You’ll Be Working On

Improve Application Health & Reliability

You’ll help Engineering teams answer critical questions like:

  • Is the application healthy?
  • Are services degrading before customers notice?
  • What operational signals matter most?
  • How do we reduce noise while improving visibility?

You’ll work with observability and monitoring platforms to:

  • Build dashboards and service health reporting
  • Analyze operational trends and performance patterns
  • Improve alert quality and escalation logic
  • Support implementation of APM and telemetry capabilities
  • Help Engineering teams operationalize reliability practices

Build Operational Processes That Engineers Actually Want to Use

We’re standing up modern Engineering Operations practices — and we want pragmatic, lightweight processes that help teams move faster, not slower.

You’ll help define and improve:

  • Incident Management
  • Problem Management
  • Change Management
  • Operational governance practices
  • Service reliability workflows

You’ll also help ensure our tooling and workflows support the way Engineering teams actually work.

Connect Systems, Data, and Teams

This role sits at the intersection of:

  • Engineering systems
  • Operational analytics
  • Process design
  • Cross-functional collaboration

You’ll help reduce fragmentation across tools and workflows while improving operational visibility across the organization.

Explore What’s Next

We’re especially interested in candidates excited about modern operational tooling and emerging technologies, including:

  • AI-enabled operations
  • Intelligent workflows
  • Automation opportunities
  • AI agents and operational copilots
  • Advanced telemetry and observability practices

What Success Looks Like

You’re someone who:

  • Creates structure in ambiguous environments
  • Thinks in systems, not silos
  • Uses data to drive decisions
  • Communicates clearly across technical and non-technical audiences
  • Balances pragmatism with long-term scalability
  • Can influence teams without relying on formal authority

You’re comfortable asking:

“How can we make this operationally better, simpler, and more scalable?”

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