17 of 17 Permanent Infrastructure as Code Jobs in Devon

such as EC2, S3, RDS, Lambda, VPC, IAM, ECS, ECR, and CloudFront Proficiency in Infrastructure as Code (IaC) using Terraform Experience with CI/CD tools like Jenkins, Bitbucket, managing and creating as required Knowledge of containerisation and orchestration technologies (Docker … selection of clients. In addition to this, the role will assume responsibility for the availability, performance, resilience and security of the core platform and infrastructure and will undertake whatever actions necessary to ensure this is within the agreed operating constraints and budget. You will design, build and maintain ...

About the Role We are seeking a Senior Data Platform Engineer with deep, hands-on Terraform expertise to design and build enterprise-grade Azure infrastructure using Infrastructure as Code as a core discipline. This role is not a generalist cloud engineering position … Terraform across our Azure Data and AI platforms. What You'll Be Doing In this role, you will: Own and lead Terraform-based infrastructure design for Azure, ensuring scalability, security, and compliance by default. Develop and maintain advanced Terraform modules, standards, and patterns used across multiple teams and environments. ...

including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background … oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

technical escalation point for unresolved data platform issues in the SRE Pod/s; Monitor, maintain, and troubleshoot databases/data warehouses and related infrastructure; Collaborate with the data engineering team to ensure efficient data flow and transformation; Develop and maintain accurate technical documentation in the form of operational … managing the relationship our clients get the best value for their services Commercial experience and high proficiency with industry standard across multiple of each: ◦ IAC tooling (Terraform preferably, or ARM/bicep and CloudFront) ◦ Core CI/CD Tooling (Azure DevOps, GitHub Actions or Gitlab) ◦ Monitoring Tooling (DataDog, Splunk, NewRelic ...

will lead and scale the engineering organization responsible for delivering the company's core risk platform. You'll define technical direction across architecture, data infrastructure, analytics systems, and compute pipelines, while integrating emerging intelligence-driven capabilities such as automated risk scoring, alerting, reporting, and anomaly detection. … decisions that ensure resilience, scale, and extensibility amid growing regulatory and market complexity. Lead technical direction for enterprise deployments, POCs, and customer integrations. Data Infrastructure & Analytics Scale the data platform to support broader asset coverage, higher throughput, and more sophisticated analysis. Develop advanced analytics capabilities including anomaly detection, cross ...

opportunity (B2B contract is not available). About the role: This is a fantastic opportunity for someone with strong experience in Azure DevOps, cloud infrastructure, and automation. The ideal candidate will have experience with: Azure: You've worked extensively with Azure services, including migrations, governance, and security frameworks, which … Infrastructure as Code: You've used ARM templates and Azure resources, and your cloud architecture experience aligns well with IaC tools like Bicep and Terraform. Security & Compliance: Your knowledge of GDPR-aligned frameworks and governance standards complements their emphasis ...

only) Salary: Equity only (to start) - with vesting period Platform: AI-Native Talent Intelligence Platform Stage: Early product (working demo MVP) with live AWS infrastructure and AI workflows in place The Role We are recruiting for our sister business 'hdhnt', this is an AI-native Talent Acquisition platform designed … tool which allows hiring companies to successfully source candidates directly, and alleviate the need for external recruitment agencies. The technical foundations already exist: cloud infrastructure, LLM pipelines, scoring logic, and multi-tenant architecture, these have been built through use of contractors to date. We are looking for a hands ...

most of these) MLflow (expert-level) Databricks Cloud platforms (AWS preferred; SageMaker exposure a bonus) CI/CD for ML workloads Docker and Kubernetes Infrastructure as Code (Terraform or similar) Python-based ML workflows ...

design, consistency models, and distributed systems fundamentals. Proven DevOps leadership at scale: CI/CD, automated testing, canarying, rollout/rollback, configuration management. Strong IaC experience (e.g., Terraform) and solid cloud infrastructure fundamentals. Domain experience in DDoS or network security services and common attack/defense patterns. Advanced networking … commander duties), runbooks, and post-incident learning. Drive automation at scale: CI/CD strategy, test frameworks, progressive delivery (canary/blue-green), and infrastructure-as-code. Establish robust observability (metrics, logs, traces) and capacity/scale models for high-throughput, highly available services. Lead threat modeling ...