Software Development Engineer in Test

Description

Join the Release Engineering team, which delivers reliable, high-quality software releases for Broadband and Entertainment devices.

You will handle release planning, build management, release readiness, deployment and risk, and work closely with Development, QA, Product and Operations to keep customer experiences stable.

The company is a media and entertainment business that connects millions of people with entertainment, sports, news and arts through its products and services.

Responsibilities

• Design, build and improve an AI-powered device diagnostics platform that analyses large volumes of telemetry to find issues, identify root causes and recommend actions.
• Build scalable backend services and data pipelines for diagnostics at the level of devices, accounts, fleets and releases.
• Develop AI and LLM-powered diagnostic workflows that combine telemetry evidence, device events and operational data.
• Correlate data across devices, accounts, network signals and software releases to spot complex issues and patterns.
• Tune AI workflows for accuracy, reliability, latency and cost.
• Partner with Engineering, Product, Data Science, QA and Operations to ship production-ready solutions.
• Design for scalability, reliability, observability and operational excellence.
• Troubleshoot complex production problems across application services, data pipelines, AI workflows and telemetry.
• Take part in architecture and technical design, code reviews and mentoring other engineers.

Requirements

• Essential: significant hands-on experience in software, backend, platform or distributed systems engineering.
• Essential: a proven record of designing and building scalable backend services, APIs, distributed systems and data-processing solutions.
• Essential: strong programming skills in Python, Java, Scala, Go, C or C++.
• Essential: strong experience with large-scale data, including telemetry, logs, events and operational datasets.
• Essential: a solid grasp of cloud platforms, scalability, reliability, performance, observability and production operations.
• Essential: strong analytical, problem-solving, communication and collaboration skills, with the ability to work across technical and non-technical teams.
• Desirable: experience building or integrating generative AI or LLM applications, such as prompt engineering, model integration, structured outputs, RAG or AI workflows.
• Desirable: experience with AWS, Docker, Kubernetes and CI/CD tools.
• Desirable: experience with Elasticsearch, OpenSearch, Databricks, Spark, Athena or other large-scale data platforms.
• Desirable: experience in broadband, video, set-top box, embedded device, networking, RDK, Wi-Fi or DOCSIS environments.
• Desirable: experience building telemetry-driven diagnostics, anomaly detection, root-cause analysis, observability or intelligent troubleshooting tools.
• Desirable: experience optimising AI or LLM applications for accuracy, reliability, latency, scalability and cost.

Conditions

The role is hybrid, with 2 days in the office per week.

The office base is either Brentwood or Osterley.

The company is an equal opportunity employer and a Disability Confident Accredited Employer, and will make reasonable adjustments, so flag any you need as early as possible.

If your application succeeds, you will be asked to complete a criminal record check, and depending on the role and the nature of any convictions, the offer may be withdrawn.

You must have the right to work in the UK, and the company does not offer sponsorship for this position.

Benefits

• Free TV package including sports and film channels.
• Pension with up to 9% employer contribution.
• Private healthcare with mental health support.
• Digital GP and dental insurance through Aviva.
• Discounts on the company's mobile, broadband, TV and protection products.
• Sharesave and tech share schemes.
• Access to a range of VIP rewards and experiences.
• Brentwood: café serving hot meals and snacks, a 10-minute walk from the station with regular trains to London Liverpool Street, bike racks, showers, onsite parking and nearby car parks.
• Osterley: 13 subsidised restaurants and cafés, a gym, a cinema, car washing, a beauty salon, a 10-minute walk from Syon Lane station, free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations, and free onsite parking for cars, motorbikes and bicycles.