8 of 8 Permanent Observability Jobs in Inverness

environments (e.g. Docker), and IaC tools like Terraform and Ansible for infrastructure performance and cost efficiency. * Implement best practices in DevOps and DevSecOps, including observability, security, networking, API integration, and disaster recovery. * Mentor junior engineers and contribute technical leadership, ideally with experience in broadcast workflows, audio/video streaming ...

support real-time marketing insights. Collaborate closely with cross-functional teams including Data Science, Software Engineering and Product. Champion best practices in data governance, observability and compliance. Contribute to CI/CD pipeline development and infrastructure automation (Terraform, AWS DevOps). Provide input into technical decisions, peer reviews and solution ...

8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major ...

tooling (prefered) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience What to expect ...

easily working on a fully distributed team. Bonus points! Background and interest in Machine Learning and/or mathematics. Familiarity with monitoring and observability tools like DataDog. Experience or interest in implementing performant Web Applications and responsive design. \n £63,600 - £98,325 a year We base our salary ranges ...

versioning, reproducibility, experimentation, feature management and release management Own and improve the production environment for machine learning systems, ensuring strong standards for availability, performance, observability and resilience Define and implement monitoring across model and platform layers, including system health, data quality, drift, latency, throughput and cost efficiency Build or optimise … pipelines, infrastructure-as-code and workflow orchestration Experience with tools such as Airflow or similar platform and orchestration technologies Good understanding of model observability, data quality, feature pipelines, lineage and reproducibility Experience designing scalable infrastructure for ML workloads, including training, batch inference and real-time serving Strong appreciation of reliability ...

/CD pipelines The key mindset here is thinking about other engineers as your customers, and building tooling that reduces friction and cognitive load. Observability & Operational Maturity Comfortable wit h CloudWatch , and ideally a third- party observability tool . They should understand SLOs and error budgets beyond the theory ...

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