176 to 200 of 444 Remote/Hybrid Containerisation Jobs

semantic data modelling, using technologies such as RDF, LPG, Neo4j, and SpannerGraph. Strong understanding of modern cloud platforms and MLOps tooling, including GCP and containerisation with Docker. Excellent problem-solving skills, with the ability to translate research concepts into scalable, production-ready systems. Desirable: Experience with LangGraph and agent orchestration ...

developing large‐scale backend services and APIs. Proven ability to build and operate systems within microservices and distributed environments. Experience with cloud‐native technologies, containerisation and Kubernetes. Strong understanding of software engineering fundamentals, system design and performance optimisation. Experience building products and platforms from concept through to production. Exposure ...

with version control systems (preferably Git) and databases (SQL or NoSQL). Hands‐on experience with major cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker). A genuine interest in applying your technical skills to solve complex challenges in the mental healthcare space. The ability to work from ...

SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps , containerisation (Docker, Kubernetes), and vector databases. Understanding of agent monitoring tools (Langfuse, OpenTelemetry). Strong software engineering best practices (testing, CI/CD, code reviews). ...

developing large-scale backend services and APIs.* Proven ability to build and operate systems within microservices and distributed environments.* Experience with cloud-native technologies, containerisation and Kubernetes.* Strong understanding of software engineering fundamentals, system design and performance optimisation.* Experience building products and platforms from concept through to production.* Exposure ...

resilient data platforms in the public cloud. Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). Understanding of data mesh-fabric ...

RESTful APIs and event‐driven/microservices architecture; Relational and analytical databases (e.g. PostgreSQL, ClickHouse or similar). Experience with CI/CD pipelines; Containerisation (Docker, Kubernetes preferred); Version control systems (Git). Strong knowledge of design patterns; Secure coding practices; Performance optimisation. Experience leading or mentoring engineers. Strong people ...

such as Kotlin and/or Python. Extensive experience with microservices architecture and developing scalable, resilient services. Demonstrated experience deploying and managing applications within containerization platforms like Kubernetes and OpenShift. Front‐end Expertise: Experienced in Python‐based front‐end frameworks (e.g., Dash, Streamlit, or other relevant Python web frameworks) would ...

Kotlin and/or Python. + Extensive experience with microservices architecture and developing scalable, resilient services. + Demonstrated experience deploying and managing applications within containerization platforms like Kubernetes and OpenShift.* **Frontend Expertise:** + Experienced in Python-based frontend frameworks (e.g., Dash, Streamlit, or other relevant Python web frameworks) would ...

also have experience with: Functional programming using Scala or Java, and/or modern front‐end frameworks such as Angular (2+) Infrastructure‐as‐Code, containerisation, Kubernetes and CI/CD Software delivered both on‐premise and as a service Automated testing, including functional, integration, performance and user acceptance testing ...

SLURM) and applying cloud-native patterns to scientific, batch-processing workloads. - Familiarity with scientific workflow management tools (e.g., Nextflow, Snakemake) and the use of containerization (Docker, Kubernetes) in research environments. Familiarity with infrastructure considerations (networking, hosting, security, etc.) in enabling on-premise and cloud IT solutions. Knowledge of data integrity ...

term platform strategy across all Activate Group systems and environments, ensuring alignment with the technology roadmap and growth plans. Drive adoption of modern cloud, containerisation (e.g. Kubernetes), and platform engineering practices to increase scalability, resilience, and speed of delivery. Lead the adoption of infrastructure as code (IaC), CI/ ...

steers agents (skills, prompts, fixtures), and expanding automation behind measurable quality gates. Experience leading teams that work with cloud-native technologies and infrastructure, including containerization (e.g., Docker, Kubernetes), cloud services (e.g., GCP, AWS), infrastructure as code practices (e.g., Terraform). Growth-minded committed to helping engineers and organizations adapt ...

Role Overview Were looking for an experienced Java Camunda Engineer to join our implementation team. Youll work across Camunda BPMN/DMN process automation, API integration, and microservice orchestration, helping our clients build secure, scalable ...

DevOps Engineers to join a well-established data-driven technology business operating at scale. Take technical ownership of AWS infrastructure, Terraform and Pulumi, containerisation tools, and more for AI-enabled products, working closely with engineering and product teams in a company with a truly strong engineering culture. Ideal for someone ...

data frameworks. Experience delivering solutions within AWS or other major cloud platforms. Strong understanding of data architecture, scalability and performance optimisation. Experience working with containerisation, Infrastructure as Code and automated deployment approaches. Ability to engage confidently with both technical and non-technical stakeholders. Experience supporting or leading technical teams within ...

with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate business systems — SaaS platforms, internal databases, and third-party APIs — and making them work reliably. Strong debugging instincts ...

with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). • Experience connecting disparate business systems — SaaS platforms, internal databases, and third-party APIs — and making them work reliably. • Strong debugging instincts ...

with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate business systems SaaS platforms, internal databases, and third-party APIs and making them work reliably. Strong debugging instincts ...

with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate business systems SaaS platforms, internal databases, and third-party APIs and making them work reliably. Strong debugging instincts ...

automation, and modern integration patterns. Experience working with APIs and enterprise system integrations. Cloud platform experience, ideally within Azure or similar environments. Understanding of containerisation and modern deployment practices. Experience working with CI/CD pipelines and agile delivery methodologies. Strong problem-solving and analytical skills. Excellent communication and stakeholder ...

with cloud platforms such as AWS, Azure or GCP. Knowledge of cloud architecture, infrastructure and security. Practical experience with Docker and Kubernetes or similar containerisation/orchestration technologies. A good understanding of core machine learning concepts, probability, statistics and common ML techniques. The ability to communicate effectively with both highly ...

architects and technical leadership. Report into the VP of Engineering Desirable Experience Microsoft Dynamics 365 certifications. Microsoft Power Platform certifications. Azure certifications. Experience with containerisation and modern DevOps practices. Exposure to enterprise-scale CRM implementations. What's on Offer? Opportunity to work on large-scale Microsoft technology projects. Significant influence ...

experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval‐Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based ...

Code into Azure – experience with ARM or Bicep templates and YAML pipelines. Experience of cloud native/serverless components hosted in Microsoft Azure including containerisation and App Service Plans Strong system monitoring tooling experience to identify and troubleshoot problems with performance and availability. Ability to communicate with stakeholders effectively that ...