451 to 475 of 1,335 Remote Terraform Jobs

AWS solution architecture, ideally in a consulting or client-facing role. Strong knowledge of AWS services including compute, networking, storage, and security. Hands-on expertise with Infrastructure as Code (Terraform, CloudFormation) and CI/CD tools. Experience designing and implementing containerised solutions (Docker, Kubernetes, ECS/EKS). Strong stakeholder management and communication skills. AWS certifications at Professional level highly More ❯

security alignment Essential Experience Demonstrable expertise in AWS security services (e.g. IAM, KMS, CloudTrail, Config, GuardDuty, Security Hub, WAF) Strong experience delivering and maintaining IaC using tools such as Terraform or AWS CloudFormation Understanding of DevSecOps principles and secure CI/CD pipeline implementation Proven track record supporting and securing large-scale AWS infrastructures Familiarity with automation and orchestration tools More ❯

disaster recovery strategies, automation tools, and cost optimization Strong leadership abilities and cross-functional collaboration skills in agile environments Advanced skills with PowerShell, Azure CLI, and Infrastructure as Code (Terraform, Bicep, ARM) What's in it for you? Competitive annual salary ranging from $140,000 to $160,000 with performance-based bonuses 100% remote work with flexible working hours from More ❯

Datadog Experience using Github Actions Experience using AWS RDS/SQL based solutions Experience using containerization in AWS Working data warehouse knowledge Redshift and Snowflake preferred Working with IaC - Terraform and Cloud Formation Working understanding of scripting languages including Python and Shell Experience working with streaming technologies inc. Kafka, Apache Flink Experience working with a ETL environments Experience working with More ❯

get stuck in! Senior level technical capability with strong problem solving skills. Proven experience with GCP as either a DevOps Engineer or SRE. A good depth of experience using Terraform and Ansible. A strong knowledge of Kubernetes cluster, building containers, deploying via CI/CD pipelines. Able to think commercially i.e. cost of scaling vs utilisation of existing infrastructure. Beneficial More ❯

for success Strong commercial experience with Python (Django or Flask or FastAPI) and frontend experience with React/Typescript. Solid understanding of AWS, CI/CD pipelines and containerisation (Terraform, Docker). Comfortable working across the stack - from database design to frontend interfaces. Excellent communication skills and ability to translate technical concepts for non-technical teams. Motivated by working in More ❯

for success Strong commercial experience with Python (Django or Flask or FastAPI) and frontend experience with React/Typescript. Solid understanding of AWS, CI/CD pipelines and containerisation (Terraform, Docker). Comfortable working across the stack - from database design to frontend interfaces. Excellent communication skills and ability to translate technical concepts for non-technical teams. Motivated by working in More ❯

get stuck in! Senior level technical capability with strong problem solving skills. Proven experience with GCP as either a DevOps Engineer or SRE. A good depth of experience using Terraform and Ansible. A strong knowledge of Kubernetes cluster, building containers, deploying via CI/CD pipelines. Able to think commercially i.e. cost of scaling vs utilisation of existing infrastructure. Beneficial More ❯

get stuck in! Senior level technical capability with strong problem solving skills. Proven experience with GCP as either a DevOps Engineer or SRE. A good depth of experience using Terraform and Ansible. A strong knowledge of Kubernetes cluster, building containers, deploying via CI/CD pipelines. Able to think commercially i.e. cost of scaling vs utilisation of existing infrastructure. Beneficial More ❯

get stuck in! Senior level technical capability with strong problem solving skills. Proven experience with GCP as either a DevOps Engineer or SRE. A good depth of experience using Terraform and Ansible. A strong knowledge of Kubernetes cluster, building containers, deploying via CI/CD pipelines. Able to think commercially i.e. cost of scaling vs utilisation of existing infrastructure. Beneficial More ❯

get stuck in! Senior level technical capability with strong problem solving skills. Proven experience with GCP as either a DevOps Engineer or SRE. A good depth of experience using Terraform and Ansible. A strong knowledge of Kubernetes cluster, building containers, deploying via CI/CD pipelines. Able to think commercially i.e. cost of scaling vs utilisation of existing infrastructure. Beneficial More ❯

for success Strong commercial experience with Python (Django or Flask or FastAPI) and frontend experience with React/Typescript. Solid understanding of AWS, CI/CD pipelines and containerisation (Terraform, Docker). Comfortable working across the stack - from database design to frontend interfaces. Excellent communication skills and ability to translate technical concepts for non-technical teams. Motivated by working in More ❯

get stuck in! Senior level technical capability with strong problem solving skills. Proven experience with GCP as either a DevOps Engineer or SRE. A good depth of experience using Terraform and Ansible. A strong knowledge of Kubernetes cluster, building containers, deploying via CI/CD pipelines. Able to think commercially i.e. cost of scaling vs utilisation of existing infrastructure. Beneficial More ❯

for success Strong commercial experience with Python (Django or Flask or FastAPI) and frontend experience with React/Typescript. Solid understanding of AWS, CI/CD pipelines and containerisation (Terraform, Docker). Comfortable working across the stack - from database design to frontend interfaces. Excellent communication skills and ability to translate technical concepts for non-technical teams. Motivated by working in More ❯

get stuck in! Senior level technical capability with strong problem solving skills. Proven experience with GCP as either a DevOps Engineer or SRE. A good depth of experience using Terraform and Ansible. A strong knowledge of Kubernetes cluster, building containers, deploying via CI/CD pipelines. Able to think commercially i.e. cost of scaling vs utilisation of existing infrastructure. Beneficial More ❯

APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access to high-value datasets , sports science teams, and More ❯

APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access to high-value datasets , sports science teams, and More ❯

developing FinOps expertise and advancing knowledge in Azure cost management. Desirable Awareness of FinOps principles and cloud cost optimization methodologies. Experience with DevOps practices or Infrastructure-as-Code tools (Terraform, Bicep, ARM). Familiarity with KQL or SQL for analytics, diagnostics, and reporting. Background in pre-sales, customer success, or consulting roles. Scripting or development experience in C#, PowerShell, or More ❯

APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access to high-value datasets , sports science teams, and More ❯

of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud More ❯

of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud More ❯

of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud More ❯

of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud More ❯

of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud More ❯

of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud More ❯