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# Senior Software Engineer - Customer Engineering

- **Company:** Harmonic, Inc.
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £98,000.0 - £110,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, User Authentication, Microsoft Azure, Big Data, Data Security, Software Debugging, Distributed Systems, Apache Maven, Enterprise Messaging Systems, OAuth, OpenID, Openid Connect, Azure Active Directory, Security Assertion Markup Language (SAML), Software Engineering, Systems Integration, Datadog, Data Logging, Okta, Spring-boot, Backend, Event Driven Architecture, Build Tools, Software Coding, Restful APIs, Microservices
- **Published:** September 2, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5810688220

## About the Role

* 5+ years of professional software engineering experience building backend services and distributed systems in the Java ecosystem (Java, Spring Boot, Maven)
 * Strong understanding of event-driven architectures, asynchronous processing patterns, messaging systems, and distributed system design
 * Proven experience designing and maintaining RESTful APIs, web hooks, and service-to-service integrations
 * Comfortable operating in AWS, GCP, or Azure environments and working with modern observability tooling, logging, and monitoring platforms
 * A track record of delivering performant, reliable and scalable applications
 * Excellent collaboration and communication skills in cross-functional teams, including direct, empathetic communication with customers
 * Comfortable moving between hands-on debugging, small feature delivery, and building internal tooling in the same week

 * Have experience building products in cybersecurity, identity, governance, compliance, data protection, or enterprise SaaS environments
 * You understand not just how to build systems, but why architectural decisions matter
 * You can balance scalability, reliability, maintainability, and speed of execution
 * You think critically about security, observability, and operational excellence from day one
 * Love the idea of blending software development, distributed systems and data-intensive applications
 * Strong familiarity with authentication and identity technologies such as OAuth, OpenID Connect (OIDC), SAML, SCIM, Entra ID (Azure AD), Okta, or other enterprise identity providers
 * Thrive in fast-paced startup environments where ambiguity is the norm
 * Enjoy shaping culture and engineering practices, not just writing code - especially for a function that doesn't exist yet
 * Get satisfaction from unblocking a customer quickly, and then from automating away the need to do it again
 * Prefer variety and a mix of problem sizes over long, single-threaded builds
 * Leverage AI tools as an engineer to help you build smarter, faster and better

This isn't just a job - it's a chance to help define a category. We're building at the intersection of AI and security, carving out an emerging market where the rules haven't been written yet, and the people who join now will write them.

## Description

We're looking for a Backend Engineer to sit inside Customer Engineering rather than the product roadmap team. You'll be the technical backbone for how we support and delight customers day-to-day: triaging and fixing bugs, resolving smallish customer requests, spotting opportunities to get ahead of a problem or surprise a customer with something they didn't ask for, and - critically - building tools and automation that let customers (and the team around you) get answers without needing an engineer in the loop every time. You'll work across our core applications, identity providers, and data security platforms, and you'll bring the same engineering rigor to this function as you would to product work - just pointed at a different problem.

 * Triage, diagnose, and fix customer-reported bugs across our backend services
 * Deliver smallish customer-driven requests and improvements, keeping a lightweight roadmap of your own
 * Build tooling and automation that let customers and internal teams self-serve answers, cutting down repeat questions that would otherwise need an engineer
 * Dig into microservices, event-driven pipelines, and integrations with identity providers and data security platforms to find and resolve root causes, not just symptoms
 * Work directly with customers and internal stakeholders to understand what's actually blocking them, then decide whether the right fix is a patch, a tool, or a process change
 * Instrument and monitor the systems customers depend on so recurring issues get surfaced and fixed before they pile up - and so you can spot chances to reach out or ship something before a customer even raises it
 * Look for moments to delight, not just resolve: a workflow that could be smoother, a report that could be automatic, a question that could be answered before it's asked
 * Track how much of the customer experience is still manual, and systematically drive that down through automation and fixes
 * Help define what "good" looks like for this function - process, tooling, and metrics - since you're building it from scratch


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