Role Description As a Junior Site Reliability Engineer (SRE) at Fable, you will help support the reliability, performance, and scalability of the systems that power our products. Fable’s products enable organizations to build more accessible digital experiences, and maintaining reliable, high-performing systems is critical to delivering that impact. You will work as part of our Platform Pod, alongside Software Engineers and more experienced SREs, to support infrastructure, improve system health, and enhance developer experience. This role is part of the infrastructure pillar, where you will collaborate closely with engineers across product and platform teams. Reliability and system quality at Fable are shared responsibilities, and you will work closely with engineers to ensure systems are stable, observable, and easy to operate. This is an ideal role for someone early in their career who is curious about how systems run in production and wants to build skills in cloud infrastructure, observability, automation, and platform engineering. Responsibilities - Support the reliability, performance, and scalability of Fable’s systems and infrastructure - Monitor systems, respond to alerts, and assist in troubleshooting production issues - Work with engineers and SREs to debug issues across infrastructure and application layers - Contribute to improving system observability, including logging, monitoring, and alerting - Assist in maintaining and improving CI/CD pipelines and deployment processes - Support infrastructure and configuration changes under guidance (e.g., cloud resources, environments) - Help identify opportunities to improve system performance, stability, and cost efficiency - Support efforts to reduce operational complexity and technical debt - Participate in incident response and post-incident reviews (postmortems) - Document systems, processes, and troubleshooting steps - Learn and apply best practices in reliability engineering, system design, and platform operations Qualifications - 0–2 years of experience in software engineering, DevOps, SRE, or related fields (internships included) - Degree in Computer Science, Engineering, or a related field (or equivalent experience) - Basic understanding of software systems, APIs, and web applications - Familiarity with at least one programming or scripting language (e.g., Python, JavaScript, Bash) - Exposure to cloud platforms (e.g., AWS, GCP, Azure) or strong interest in learning - Basic understanding of Linux/Unix environments - Familiarity with version control (e.g., Git) - Curiosity about how systems run in production and how to make them more reliable - Strong problem-solving skills and willingness to learn - Good communication and collaboration skills Nice to have - Exposure to monitoring/observability tools (e.g., Datadog, Prometheus, Grafana) - Experience with CI/CD tools (e.g., GitHub Actions) - Familiarity with infrastructure as code (e.g., Terraform, CloudFormation) - Interest in platform engineering, developer tooling, or system reliability - Experience through internships, co-ops, or personal projects Benefits - Stock options - Career growth opportunities - Professional development support - Health and dental coverage - More Accessibility accommodations Fable is an inclusive workplace. If you are facing any accessibility requirements or concerns regarding the hiring process or employment with us, please fill out this form or email us at jobs@makeitfable.com and include the subject line “Accessibility accommodation for Junior Site Reliability Engineer job application.” Pay range $69,000 – $90,000 the salary band is designed to reflect the range of skills and experience needed for the position and is subject to change. The final salary is based on relevant skills, experience, and internal equity. This posting reflects an existing vacancy. Artificial intelligence (AI) tools may be used to support part of the recruitment and selection process. However, all hiring decisions are made by our hiring managers.

Role Description We’re looking for a Mid-Senior DevOps Engineer with strong experience in AWS, Terraform, CI/CD, containerization, and observability to support and improve production backend systems, with a preference for C#/.NET environments. The role focuses on building reliable cloud infrastructure, optimizing deployment workflows, and maintaining scalable, production-ready systems. Qualifications - 6+ Years of experience - Experience working with cloud infrastructure in a production environment (DigitalOcean, Linode, AWS, or similar) - Experience building and maintaining CI/CD pipelines for production systems - Hands-on experience with containerization and orchestration (Docker, Kubernetes, or similar) - Experience with infrastructure-as-code (Terraform or similar) - Familiarity with observability systems (metrics, logging, tracing) using tools like Prometheus, Grafana, Loki, or similar - Experience supporting and improving deployment workflows for backend services (C#/.NET preferred) Requirements - Nice-to-have: Experience supporting .NET-based systems in production - Familiarity with MongoDB and RabbitMQ performance and scaling considerations - Experience with infrastructure cost optimization Benefits - Remote work - 13 floating holidays - 15 vacation days per year completed - Good working environment Company Description Every qualified candidate who meets the requirements outlined in the job description will be considered in this hiring process without distinction. Furthermore, Jalasoft is an equal opportunity employer. We wholeheartedly embrace our responsibility to make employment decisions without regard to race, age, marital or social status, national origin, disability, sex, gender identity or expression, or any other characteristic or group of candidates or employees unrelated to their qualifications and suitability for the position. Our management is committed to upholding this policy with respect.

Role Description We’re looking for a Mid-Senior DevOps Engineer with strong experience in AWS, Terraform, CI/CD, containerization, and observability to support and improve production backend systems, with a preference for C#/.NET environments. The role focuses on building reliable cloud infrastructure, optimizing deployment workflows, and maintaining scalable, production-ready systems. Qualifications - 6+ Years of experience - Experience working with cloud infrastructure in a production environment (DigitalOcean, Linode, AWS, or similar) - Experience building and maintaining CI/CD pipelines for production systems - Hands-on experience with containerization and orchestration (Docker, Kubernetes, or similar) - Experience with infrastructure-as-code (Terraform or similar) - Familiarity with observability systems (metrics, logging, tracing) using tools like Prometheus, Grafana, Loki, or similar - Experience supporting and improving deployment workflows for backend services (C#/.NET preferred) Requirements - Nice-to-have: Experience supporting .NET-based systems in production - Familiarity with MongoDB and RabbitMQ performance and scaling considerations - Experience with infrastructure cost optimization Benefits - Remote work - 13 floating holidays - 15 vacation days per year completed - Good working environment Company Description Every qualified candidate who meets the requirements outlined in the job description will be considered in this hiring process without distinction. Furthermore, Jalasoft is an equal opportunity employer. We wholeheartedly embrace our responsibility to make employment decisions without regard to race, age, marital or social status, national origin, disability, sex, gender identity or expression, or any other characteristic or group of candidates or employees unrelated to their qualifications and suitability for the position. Our management is committed to upholding this policy with respect.

Role Description As our ML engineer, you'd own our cloud ML infrastructure, building it out closely with the CTO, who leads the technical direction. You'd work alongside our full-stack engineer to get ML capabilities into the product, and with the materials scientists running the experiments your models train on. - Stand up and run our production ML stack on GCP. - Design and automate the pipelines that move experimental data out of the lab and into training. - Bring real engineering discipline to the models: CI/CD, testing, dataset and checkpoint versioning. - Help shape how it all fits together, alongside the CTO. - Contribute to the next generation of our modelling with the founding team. You'd be early enough to shape how we build, and the systems you stand up will support the platform as it grows. And you'd be working with materials science data, closer to the underlying science than most ML roles ever get. Qualifications - Production ML experience: you've built and run ML systems before and can own your delivery, with the CTO setting the wider technical direction. - Strong Python and production ML experience (PyTorch or similar), with hands-on containerised deployment to GCP or comparable platforms. - A track record of building and running ML/data pipelines in small teams, comfortable when not much infrastructure is handed to you. - A systems mindset: you decouple cleanly, think in modules, and can hold the shape of a whole pipeline in your head. - Genuine interest in the underlying problem. You'd be working with materials data; if that doesn't sound interesting, this isn't the role. Requirements - Experience applying ML in scientific, materials, or engineering domains. How you work - You take ownership and finish what you start. - You have opinions and you say them, but they're rooted in considered thinking rather than reflex. - You're a good colleague: friendly, empathetic, and able to operate in a flat team. Benefits - A competitive salary + meaningful equity. - A direct working relationship with the founders. No layers between you and the people making decisions. - 28 days holiday plus bank holidays. - Workplace pension scheme. - Remote working, with lab and studio space at Plus X Innovation Hub, Brighton, if you want it. - A team that doesn't reward presenteeism and doesn't micromanage. Family, rest, and time to think are how good work gets done, not what gets traded to do it.