Senior Full Stack Developer - Downdetector Connect
- Compensation
- Not disclosed
- Location
- United Kingdom
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Fullstack
- Posted
Skills
Nice to have
- Domain Knowledge: Understanding of network monitoring, telecommunications data, or performance testing.
- Data Privacy: Experience with anonymization techniques and PII protection (GDPR).
- AI Frameworks: Exposure to tools like LangChain, LangGraph, or LlamaIndex.
Full description
The Opportunity:
As a Senior Developer, you’ll have significant autonomy to shape how some of the world’s largest telecom operators communicate with consumers and detect issues across their networks. You’ll help evolve the platform into a proactive, intelligent system built around Observe - Think - Act workflows, designing autonomous, AI‑driven operations that surface insights, trigger actions, and streamline complex network processes at scale.
You’ll work across the full stack, building intuitive interfaces in React and architecting resilient Python backend systems capable of handling massive volumes of time‑series telemetry. You’ll join a dynamic, experienced global product and engineering team, collaborating with specialists across mobile SDKs, cloud platforms, and large‑scale distributed systems, while working directly with global customers.
If you’re excited by the challenge of building intelligent systems, solving complex data problems, and driving meaningful impact at global scale, this role offers the scope and technical depth to do your best work.
Key Responsibilities:
- Full-Stack Development: Develop and maintain robust, scalable web applications using React, Redux, and modern backend frameworks.
- Maintain Technical Quality: Write clean, maintainable, and efficient code while conducting high-signal code reviews to elevate engineering standards.
- Collaborate Cross-Functionally: Work closely with Product teams to translate emerging AI capabilities into high-performance features for our global operator clients.
- Scale Data Processing: Maintain and optimize backend services capable of handling high-volume network telemetry and time-series data.
- Modernize Workflows: Move the platform from reactive reporting to proactive operations by implementing systems that learn and respond automatically to network outages.
- DevOps Collaboration: Partner with platform engineers to manage cloud infrastructure, maintain CI/CD pipelines, and support complex deployments to ensure system reliability.
Job Qualifications:
- 5 to 8 years of professional software engineering experience. Experience in mentoring or leadership.
- Expert proficiency in Python (FastAPI or Django) and experience designing scalable RESTful APIs.
- Proficient in React and Redux with hands-on experience building complex, data-heavy web applications.
- Experience using AWS to deploy applications, including containerization (Docker) and managing CI/CD pipelines. Familiarity with Kubernetes or Infrastructure as Code (Terraform) is a strong advantage.
- Systems Thinker: Strong ability to break down complex manual problems into deliverable, automated technical sub-tasks.