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Runware

Senior Technical Support Engineer

United Kingdom
Posted about 18 hours ago
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Senior Technical Support Engineer

We're looking for a Senior Technical Support Engineer to become a technical extension of our Engineering team.

This is not a traditional customer support role.

You'll investigate complex API and infrastructure issues, help engineers reproduce difficult bugs, improve developer experience, build automation, and continuously raise the quality and efficiency of our technical support function.

We have a strong preference for engineers who naturally integrate AI into their daily workflow—not simply as a writing assistant, but as a practical engineering tool for investigation, automation, documentation, analysis, and operational improvement.

Beyond solving customer issues, you'll help build a modern, AI-native support function that scales alongside the company.

What This Person Will Do

Deep technical investigation

  • Investigate complex platform, infrastructure, and API issues using logs, metrics, traces, dashboards, and debugging tools
  • Troubleshoot REST APIs, HTTP requests, authentication, JSON payloads, SDKs, webhooks, and distributed systems
  • Reproduce difficult production issues and work closely with Engineering to identify root causes and validate fixes
  • Support customers during complex technical investigations, escalations, and production incidents

Improve Developer Experience

  • Identify recurring issues and proactively improve tooling, monitoring, documentation, and customer self-service
  • Create and continuously improve troubleshooting guides, internal playbooks, developer documentation, and knowledge base content
  • Help identify opportunities to simplify developer workflows and reduce customer friction

Build scalable support operations

  • Design and improve internal tooling, automations, and operational workflows
  • Drive adoption of AI-assisted workflows that improve investigation speed, documentation quality, operational efficiency, and overall developer support
  • Continuously improve support processes in close partnership with Engineering as the company scales

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Requirements

Technical expertise

  • 5+ years of experience in Technical Support Engineering, Developer Support, Solutions Engineering, SRE, or another highly technical customer-facing engineering role
  • Strong troubleshooting and debugging skills across REST APIs, HTTP, authentication, JSON, SDKs, webhooks, and distributed systems
  • Experience investigating production issues using logs, metrics, traces, dashboards, and modern observability platforms
  • Comfortable reading application code and understanding backend systems (Python, Go, Node.js, Java, PHP, or similar)
  • Strong analytical thinking and a structured engineering approach to debugging complex systems

AI-native working style

  • Active, practical use of AI-assisted tools to improve troubleshooting, documentation, analysis, investigation, and day-to-day engineering productivity
  • Experience building automations, scripts, integrations, or AI-enabled workflows that reduce manual work and improve operational efficiency
  • Demonstrated habit of continuously improving personal and team productivity through automation, AI, and process optimisation
  • Curiosity to evaluate emerging AI tools and incorporate those that create measurable value

Collaboration & ownership

  • Excellent written and verbal communication skills with developers and technical stakeholders
  • High level of ownership with a track record of improving technical processes rather than simply executing existing ones
  • Comfortable working in ambiguous environments where processes are continuously evolving

Strong differentiators

Domain expertise

  • Experience supporting AI/ML platforms, developer tools, APIs, cloud infrastructure, or technically complex B2B SaaS products
  • Experience supporting infrastructure products where customers are software engineers rather than end users

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Building & scaling

  • Experience building or scaling technical support functions, operational processes, or internal tooling
  • Experience working closely with Platform, Infrastructure, or Product Engineering teams
  • Experience with observability platforms such as Datadog, Grafana, OpenTelemetry, or similar
  • Comfortable discussing technical trade-offs around performance, reliability, scalability, and developer experience

AI & automation

  • Experience designing or implementing AI agents, LLM-powered workflows, internal AI tools, or support automations
  • Experience integrating AI into operational workflows, documentation systems, developer tooling, or customer support platforms

Tools & systems exposure:

  • Support platforms: Zendesk, Intercom, Jira, Linear, GitHub Issues, or similar
  • Monitoring & debugging: Datadog, Grafana, Logs, Metrics, Traces, Dashboards
  • Documentation: Notion, Confluence, GitHub Docs
  • Developer tools: Postman, REST APIs, HTTP debugging, JSON, Webhooks, SDK troubleshooting

Benefits

We're a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life.

Our release cycles are fast and intense, but they're followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready & stronger than ever for the next leap.

  • Generous paid time off - vacation, sick days, public holidays
  • Meaningful stock options - share in the upside you create
  • Flexible hours - own your schedule outside core collaboration blocks
  • Family leave - paid maternity, paternity, and caregiver time
  • Company retreats - twice-yearly gatherings in inspiring locations
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Skills

Technical Support Engineering
API Troubleshooting
Infrastructure Investigation
REST APIs
Python
Go
Node.js
Java
Observability
Datadog
Grafana
AI-assisted workflows
Automation
Distributed Systems
JSON
Webhooks

Location

United Kingdom

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