Senior Backend Engineer - Data, Platform & Infrastructure Engineering · London
Flexciton
Senior Backend Engineer - Data, Platform & Infrastructure
At Flexciton, we work with high-tech factories built with investments worth hundreds of millions of dollars, producing advanced chips at the atomic level. It can take up to nine months to fabricate these cutting-edge products.
We are proud to be the only SaaS product in the world that plans and schedules production in high-tech semiconductor fabs, using complex algorithms in real-time, all from our London office. We generate more than 10,000 schedules daily to operate hundreds of multimillion-dollar semiconductor manufacturing equipment in photolithography, etching, metal deposition, and metrology.
Our technology consistently delivers the best production schedules, and leading companies like Seagate and Western Digital trust Flexciton to run their production 24/7. With operations across the US, Europe, and expansion into Asia, we are on a path to realise our vision for the Autonomous Factory.
Job Summary
We're seeking a Senior Backend Engineer to work on the platform infrastructure and data integration systems that power our manufacturing automation platform. As an experienced individual contributor, you'll build and evolve our Azure-based infrastructure, manage our Kubernetes deployments, and develop the data pipelines that connect our systems to semiconductor fabs worldwide. You'll work independently on critical technical initiatives while helping establish engineering standards as we continue to scale.
Over the next 12 months you will be involved in:
Building robust data integration and ETL pipelines that process high-volume semiconductor manufacturing data from diverse fab systems
Implementing infrastructure-as-code practices using Terraform to enable reproducible, reliable deployments across multiple environments
Scaling our Azure/AKS infrastructure to support growing factory operations, optimizing for cost-effectiveness, reliability, and security across our expanding global footprint
Contributing to platform security posture and implementing security best practices across our infrastructure stack
Key Responsibilities
As a startup, priorities evolve quickly and you'll have the opportunity to work across different areas of our platform based on business needs. Your key responsibilities may include:
Design and build ETL pipelines to integrate data from semiconductor fab systems into our platform
Create reusable data integration patterns and components
Develop monitoring, logging, and observability solutions for platform health and performance
Work with database systems to ensure optimal performance and data integrity
Build and evolve our Azure cloud infrastructure and AKS (Kubernetes) platform
Design and implement infrastructure-as-code using Terraform for consistent, auditable infrastructure management
Contribute to platform architecture decisions and technical design discussions
Provide code reviews and technical guidance to junior team members
Apply and advocate for software engineering best practices including testing and CI/CD
Participate in technical design reviews and contribute to system reliability improvements
Required Experience
4+ years of software development experience
Experience building production systems with Python
Hands-on experience with cloud platforms (Azure preferred) and containerization (Kubernetes/Docker)
Experience with infrastructure automation and configuration management tools (Terraform, Helm, or similar)
Experience building data pipelines, ETL processes, or data integration solutions
Solid understanding of system design, databases, and data modeling
Familiarity with CI/CD practices and modern development workflows
Demonstrated ability to work independently on complex technical problems
Nice-to-have
Experience with security hardening and compliance in cloud environments
Experience with REST API development and microservices architectures
Experience mentoring junior engineers
Familiarity with Rust
- Department
- Engineering
Senior Backend Engineer - Data, Platform & Infrastructure
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