17 of 17 Terraform Jobs in Slough

We are looking for experience in the following skills: Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. More ❯

requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively. Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries. In-depth understanding of public cloud platforms and deployment best practices. Strong knowledge of network protocols (TCP/IP) and security practices (IPSec, SSL-VPN More ❯

mission-critical projects. You will work on secure, cutting-edge solutions that make a tangible difference, alongside some of the brightest minds in technology. Technical Expertise Core tech stack: Terraform, AWS (preferred), Azure, CI/CD You will also bring experience in: 5+ years experience in platform engineering Programming in one or more languages: JavaScript, Java, .Net, Python Experience mentoring More ❯

Cluster Management: Docker, Kubernetes, Rancher, Jenkins, Helm Monitoring & Observability: Prometheus, Grafana, ELK Stack, Dynatrace Secrets & Identity Management: HashiCorp Vault, Keycloak CI/CD & DevOps Tooling: Jenkins, Git, ServiceNow, Trivy, Terraform Streaming & Messaging: Apache Kafka (including Kafka Replication) Data Layers: PostgreSQL, Redis, RDLs Automation: IaC, pipeline build automation, event relay tooling Scripting: Bash, Python, Groovy, Lambda functions Responsibilities Run, manage, and More ❯

stack, Grafana, Kibana, Azure Application Insights, AWS Cloud Watch etc., Scripting languages preferably python, PowerShell Database technologies preferably MS SQL Server, Postgres SQL Infrastructure as code – AWS Cloudformation/Terraform/Ansible/Chef AWS cloud native development using EC2, Lambda, S3, Simple Que Service etc. More ❯

Familiarity with data governance, security, and compliance in cloud environments. • Excellent communication and stakeholder management skills. Preferred Qualifications: • AWS Certified Data Analytics – Specialty or Solutions Architect certification. • Experience with Terraform or CloudFormation for infrastructure as code. • Knowledge of modern data architecture principles. More ❯

identity lifecycle management . Hands-on experience with secrets management solutions (Vault, Conjur, AWS Secrets Manager, Azure Key Vault, etc.). Strong DevOps background – think CI/CD pipelines (Terraform, Jenkins, GitHub Actions, GitLab, Azure DevOps). Proficiency in automation and scripting ( Python, PowerShell, Bash ). Familiarity with AWS, Azure, or GCP IAM capabilities. Solid grasp of security frameworks and More ❯

Architect to ensure new features and updates are discussed and implemented based on requirement. Working with many different support organizations carrying out Auditing, Costing, Governance etc · DevOps and IAC ( Terraform ) Key responsibilities: A good understanding and exposure to Microsoft enterprise services frameworks and practices The role must have strong on premises and Cloud Integrations skill Good understanding of competitive technologies More ❯

infrastructure and enabling robust DevSecOps practices. Essential Skills: Strong experience with AWS MSK (Kafka) and secure multi-account AWS environments Proven production experience with Kubernetes, Docker, Helm Proficient in Terraform, CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM More ❯

5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or More ❯

commercial, investment, retail banking, or regulatory reporting). Strong background in enterprise data modelling (ERwin, ER/Studio, PowerDesigner). Hands-on experience with cloud platforms and DevOps tools (Terraform, Azure DevOps, GitHub). Excellent leadership, communication, and client advisory skills. Preferred certifications from major cloud vendors (AWS, Azure, GCP). What’s on Offer: Competitive salary with bonus and More ❯

across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products & Transformation – Position reusable data products and architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as More ❯

and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference, and ETL pipelines. •Drive network automation efforts using tools such as Python, Ansible, and Terraform, enabling Infrastructure-as-Code (IaC) for repeatable, scalable deployments. •Participate in performance tuning, benchmarking, and capacity planning for evolving AI workloads and future-proof infrastructure designs. Required Skills & Expertise: •Proven More ❯

Experience managing Fortigate firewalls (policy changes, VPN configurations, security hardening). Basic understanding of firewall rule management and troubleshooting connectivity issues. Basic Automation Experience Exposure to Python, Ansible, or Terraform for automating network tasks (e.g., config backups, monitoring). Experience with API-based integrations for network automation is a plus. Understanding of ARP (Address Resolution Protocol) Deep understanding of Layer More ❯

to production Design and build scalable, containerised software solutions that incorporate data science components Make architectural decisions around tooling, frameworks, and development approaches Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred) Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within … with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across More ❯

focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale distributed systems using Kubernetes, Terraform, and orchestration tools such as Airflow, Flyte, or Temporal Write clean, extensible, and well-tested code to ensure long-term maintainability and collaboration across teams About You We are looking … Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable More ❯

Integration Architect - Azure PaaS, Salesforce, Canvas LMS, SITS, Terraform Xpertise are urgently looking for a Design Lead/Integration Architect (Azure PaaS, Salesforce Education Cloud, Canvas LMS, SITS, Terraform) for an immediate start. Candidates will have the following skills and experience: Proven experience as an Integration Architect Proven experience of Microsoft Azure PaaS (Functions, Logic Apps, API, Service Bus) Proven … knowledge of Canvas LMS Experience integration systems including SITS with modern cloud-native systems Proven experience of DevOps and CI/CD pipelines Proven experience of ARM, Bicep and Terraform Proven experience of Higher Education environments Proven experience of Agile Proven experience of data management and data integration Exceptional stakeholder skills Outside IR35 - hybrid - London - 2 days More ❯