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Technology Analyst - Operations

TurnItIn
🇬🇧In-Person - Manchester, United Kingdom£35K–£48K/yri8h ago
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Role Snapshot

Shape and mature Engineering Operations within a large-scale SaaS environment by building operational processes, improving application health visibility, and implementing modern operational practices. This role bridges Engineering, DevOps, Product, and Support teams to drive operational excellence and scalability.

Key Responsibilities: Build dashboards and service health reporting using observability platforms, define and improve Incident/Problem/Change Management processes, analyze operational trends and performance patterns, and help reduce tool fragmentation while improving visibility across the organization. Support implementation of APM capabilities, operationalize reliability practices, and explore AI-enabled operational workflows and automation opportunities.
Skills & Tools: Strong analytical and systems-thinking abilities with proficiency in observability/monitoring platforms, dashboards, and operational analytics. Excellent cross-functional communication skills, data-driven decision-making, process design expertise, and ability to influence teams without formal authority; familiarity with modern DevOps tooling and emerging technologies like AI-enabled operations is advantageous.
Qualifications: Experience in engineering operations, site reliability engineering, or related operational roles within SaaS or technology environments, combined with demonstrated ability to design and implement scalable processes. Knowledge of incident management, observability practices, and engineering toolchains preferred.
Location: In-Person - Manchester, 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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