City of London, London, England, United Kingdom Hybrid / WFH Options
MFK Recruitment
GitLab CI/CD, Jenkins, or similar) Experience monitoring infrastructure and applications for health and performance Experience building or maintaining data processing workflows using queues and event-driven triggers (Argo) Strong understanding of client/server architecture Excellent documentation and communication skills Understanding of and strong conviction for SRE principles We and mission mindset Iteration mindset 'If it's not More ❯
operating agentic AI systems Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform Experience with Large Language Models (LLMs) and a keen interest in More ❯
operating agentic AI systems Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform Experience with Large Language Models (LLMs) and a keen interest in More ❯
Social network you want to login/join with: We are looking for brilliant engineers to join our team at Magentic. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We're More ❯
in hardware-constrained deployments What You’ll Bring: Expertise in Python and/or Go for backend development in secure, distributed systems Experience working with Kubernetes, orchestration tools (e.g., Argo), and message buses like Kafka Practical knowledge of Postgres or similar databases Proven experience building real-time or batch AI/ML pipelines with strong API design (Bonus) Exposure to More ❯
Embrace variety and challenge Desirable Experience: Proficiency in at least one of Python, Go, Java, Ruby Working knowledge of Kubernetes Exposure to ETL systems at scale (e.g. Apache Airflow, Argo Workflows) Exposure to streaming data platforms (e.g. Apache Kafka, RabbitMQ) Working knowledge of networking fundamentals Comfort deploying software to the cloud and on-premises Record of accomplishment of empowering other More ❯
Our tech stack: Programming language: Python Frameworks: FastAPI, Flask, Django Databases and data stores: PostgreSQL, Redis Cloud providers: Google Cloud Platform, Microsoft Azure Events and asynchronous tasks: Celery, NATS, Argo Workflows We work agile in sprints and iteratively deliver towards our milestones and goals. We do code reviews and regular pair programming. Furthermore, we work flexibly with a strong focus More ❯
of Data Engineers Experience with Data modelling, Data warehousing, and building ETL pipelines Experience with AWS (S3, EKS, EC2, RDS) or similar cloud services, Snowflake, Fivetran, Airbyte, dbt, Docker, Argo Experience in SQL, Python, and Terraform Experience with building Data pipelines and applications to stream and process datasets Robust understanding of DevOps principles is required Experience managing cloud infrastructure would More ❯
training pipelines for large datasets. Working experience leading complex, cross-functional projects and influencing technical direction across multiple teams. Familiarity with modern workflow orchestration tools such as Prefect, Kubeflow, Argo, etc. Software engineering fundamentals, including data structures, design patterns, version control (Git), CI/CD, testing, and monitoring. Exceptional problem-solving skills, with a proven ability to navigate ambiguity and More ❯
Bring * Strong experience building secure, scalable backend systems in Python and/or Go * Deep understanding of containerised services, particularly in Kubernetes environments * Practical knowledge of orchestration tools (e.g., Argo), message buses (Kafka), and databases (especially Postgres), or equivalent technologies * Experience working in air-gapped or secure environments, or at minimum, a clear grasp of the constraints and workarounds involved More ❯
Bring Strong experience building secure, scalable backend systems in Python and/or Go Deep understanding of containerised services, particularly in Kubernetes environments Practical knowledge of orchestration tools (e.g., Argo), message buses (Kafka), and databases (especially Postgres), or equivalent technologies Experience working in air-gapped or secure environments, or at minimum, a clear grasp of the constraints and workarounds involved More ❯
Bring * Strong experience building secure, scalable backend systems in Python and/or Go * Deep understanding of containerised services, particularly in Kubernetes environments * Practical knowledge of orchestration tools (e.g., Argo), message buses (Kafka), and databases (especially Postgres), or equivalent technologies * Experience working in air-gapped or secure environments, or at minimum, a clear grasp of the constraints and workarounds involved More ❯
Bring Strong experience building secure, scalable backend systems in Python and/or Go Deep understanding of containerised services, particularly in Kubernetes environments Practical knowledge of orchestration tools (e.g., Argo), message buses (Kafka), and databases (especially Postgres), or equivalent technologies Experience working in air-gapped or secure environments, or at minimum, a clear grasp of the constraints and workarounds involved More ❯
At Cision, we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective success. As part of our global team, you'll thrive in an More ❯
Brighton, England, United Kingdom; London, England, United Kingdom Product Engineering regular Hybrid At Cision, we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective More ❯
data science teams to optimise model integration and system performance Your Experience: Advanced Golang engineering background, ideally in distributed or secure systems Solid experience with Kubernetes, orchestration tooling (e.g. Argo), and Kafka or equivalent Strong database knowledge (Postgres preferred) Ability to design and scale APIs and backend pipelines for data-rich environments Bonus: Familiarity with RAG pipelines, transcription tooling, vector More ❯
data science teams to optimise model integration and system performance Your Experience: Advanced Golang engineering background, ideally in distributed or secure systems Solid experience with Kubernetes, orchestration tooling (e.g. Argo), and Kafka or equivalent Strong database knowledge (Postgres preferred) Ability to design and scale APIs and backend pipelines for data-rich environments Bonus: Familiarity with RAG pipelines, transcription tooling, vector More ❯
systems, fundamental networking protocols (TCP, UDP, multicast), or core database concepts as they apply to modern infrastructure. Cluster Management: Experience with deployments, staging, and configuration management. Direct experience with Argo and/or Kubernetes or other Pipeline Management Platforms is a significant advantage. Machine Management at Scale: Experience with capacity planning and automating the lifecycle of large machine fleets. System More ❯
systems, fundamental networking protocols (TCP, UDP, multicast), or core database concepts as they apply to modern infrastructure. Cluster Management: Experience with deployments, staging, and configuration management. Direct experience with Argo and/or Kubernetes or other Pipeline Management Platforms is a significant advantage. Machine Management at Scale: Experience with capacity planning and automating the lifecycle of large machine fleets. System More ❯
systems, fundamental networking protocols (TCP, UDP, multicast), or core database concepts as they apply to modern infrastructure. Cluster Management: Experience with deployments, staging, and configuration management. Direct experience with Argo and/or Kubernetes or other Pipeline Management Platforms is a significant advantage. Machine Management at Scale: Experience with capacity planning and automating the lifecycle of large machine fleets. System More ❯
Paymentology is the first truly global issuer-processor, giving banks and fintechs the technology, team and experience to rapidly issue and process Mastercard, Visa and UnionPay cards across more than 60 countries, at scale. Our advanced, multi-cloud platform, offering More ❯
Liverpool, Lancashire, United Kingdom Hybrid / WFH Options
The Granite Group
At Acorn, we're passionate about building innovative platforms using cutting-edge technologies. As a Senior DevOps Engineer, you'll play a crucial role in driving our cloud-first strategy, collaborating closely with development teams to support and scale their More ❯
Responsibilities: Working hands-on with a variety of technologies, to provide a first-class engineering experience for Arm's hardware and software engineers. The domains and areas include: Software builds and test solutions using CI/CD, binary, secret, and More ❯
