fostering collaboration, innovation, and professional growth by leading by example and nurturing strong relationships that empower others to excel. Experience With The Following Technologies Cloud platforms like AWS and GCP Docker and Terraform Programming languages including Python, JavaScript (NodeJS, React), Go Databases and data warehouses: BigQuery, Snowflake, Postgres, Redis, MongoDB, Redshift AI technologies, including OpenAI, Bedrock, Vertex, and LangChain RESTful More ❯
level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯
level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯
level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯
level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯
london (city of london), south east england, united kingdom
Humanoid
level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯
Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks. We are seeking a skilled and experienced Java, GCP, Kubernetes Developer to join our technology team in the Property and Casualty insurance domain. The ideal candidate will be responsible for designing, developing, and deploying scalable applications and services using … support core insurance processes. Key Responsibilities: Design, develop, and maintain Java-based backend services using Spring Batch and other Spring frameworks. Build and deploy applications on GoogleCloudPlatform (GCP) using Kubernetes (GKE). Develop and manage Infrastructure as Code (IaC) using Terraform. Implement CI/CD pipelines using GitLab. Collaborate with DevOps, QA, and other development teams to ensure … provide timely resolutions in production environments. Required Technical Skills: Java (Spring/Spring Batch): Core development for backend services, job scheduling, and batch processing in applications. GoogleCloudPlatform (GCP): Hands-on experience in deploying and managing cloud-native applications and resources. Kubernetes (GKE): Orchestrating containerized applications, managing clusters, and ensuring high availability and scalability. Terraform: Automating infrastructure provisioning and More ❯
the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Job Description: Required Skills Proficiency in deploying and maintaining Cloud based infrastructure services (AWS/GCP) Well versed with service-oriented architecture, cloud-based web services architecture, design patterns and frameworks. Good knowledge of cloud related services like compute, storage, network, messaging (Eg SNS,SQS) and More ❯
understanding of cloud migration and architecture We're looking for candidates with skills in one or more of the following areas: Cloud Architecture & Engineering Cloud platforms: AWS, Azure, GoogleCloudPlatform, or OCI Container technologies (Docker, Rocket) and orchestration (Kubernetes, OpenShift, Rancher, Swarm) Infrastructure as Code (Terraform, CloudFormation, ARM, GCP CDM) CI/CD and cloud automation tooling DevOps philosophies … solutions Leading agile ceremonies and stand-ups Architecting and delivering cloud platforms Understanding and advising on emerging cloud technologies and challenges Maintaining strong relationships with cloud vendors (AWS, Azure, GCP) Technical Authoring Translating architectural information into clear, technical documentation for engineering and development teams Publishing and maintaining network documentation using tools like Git or markup-based repositories Managing technical decision More ❯
systems, network infrastructures, RDBMS etc Experience with infrastructure-as-code software Exposure to automated testing tools Knowledge of continuous integration - continuous deployment pipelines Recognised deep proficiency with Azure, AWS & GCP servicesJoin us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a More ❯
the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith More ❯
the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith More ❯
the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith More ❯
UK's most critical work. What you'll bring: Strong problem-solving and communication skills, able to simplify complex issues Experience delivering secure, resilient, scalable cloud architectures (Azure, AWS, GCP) Hands-on with IaC tools (Terraform, Bicep, CloudFormation) and CI/CD pipelines Proficient in Python or Bash scripting Knowledge of cloud security best practices (e.g. IAM, encryption, vulnerability management More ❯
Bristol, Somerset, United Kingdom Hybrid / WFH Options
People Source Consulting Ltd
UK's most critical work. What you'll bring: Strong problem-solving and communication skills, able to simplify complex issues Experience delivering secure, resilient, scalable cloud architectures (Azure, AWS, GCP) Hands-on with IaC tools (Terraform, Bicep, CloudFormation) and CI/CD pipelines Proficient in Python or Bash Scripting Knowledge of cloud security best practices (eg IAM, encryption, vulnerability management More ❯
must be eligible to obtain Security Check (SC) clearance or already be holding active SC Clearance. You should also bring: Experience with cloud platforms such as AWS, Azure, or GCP Strong background in DevOps processes and modern development workflows Expertise in CI/CD tools such as GitLab CI, GitHub Actions, or Jenkins Proficiency with containerisation and orchestration tools (Docker More ❯
must be eligible to obtain Security Check (SC) clearance or already be holding active SC Clearance. You should also bring: Experience with cloud platforms such as AWS, Azure, or GCP Strong background in DevOps processes and modern development workflows Expertise in CI/CD tools such as GitLab CI, GitHub Actions, or Jenkins Proficiency with containerisation and orchestration tools (Docker More ❯
SQl technologies. Excellent written and verbal communication skills, along with an ability to effectively interface with both business partners and with technical staff. Minimum Experience: Azure/AWS/GCP 3+ years (Azure Preferred) o Azure Cloud Services Kubernetes(AKS,ACA), Kafta, Apache Sparko CosmosDB, Databricks GraphQLo Service Mesh/Orchestration o Security Vaults, Tokens, Okta, IAM, Azure App Service More ❯
Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the GoogleCloudPlatform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. CloudPlatform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯
Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the GoogleCloudPlatform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. CloudPlatform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯
