1,126 to 1,150 of 1,216 Permanent Containerisation Jobs

Junior Data Engineer – Financial Services – £35-40k - London Overview: We are currently partnered with a market-leading financial services organisation who are seeking a Junior Data Engineer to join their growing London team. The team currently operates around 60 More ❯

Core Engineering - Containerization Engineer Location: Pune, India Group: Functions Job Type: Full Time Your role Are you an engineer looking to gain product exposure? Are you excited about driving and delivering change that will positively impact how developers in Group Technology work? Are you eager to develop your entrepreneurial and leadership skills? We seek a pragmatic self-starter to enhance More ❯

Come join an exciting new project utilizing cutting edge technologies in Chantilly, Virginia. Skill-sets: Python, Databricks, LLM (Large Language Model), NLP (Natural Language Processing), model tuning, containerization (Docker/Kubernetes), model validation/testing, prompt engineering, scaling/optimization techniques, software development, and Apache Spark. More ❯

experience in a Linux focused role (eg. 3rd Line Support/Infrastructure Engineer/SysAdmin) Excellent knowledge of Linux/Unix and associated tools (preferably Alma Linux) Experience with Containerisation using Docker Configuration Management experience with Ansible or similar Jenkins or similar for CI/CD Excellent knowledge of containerisation with Docker or similar The company at hand offer unique More ❯

Jira, and Confluence. Programming languages: Strong proficiency in programming languages such as Python, Bash, Java, Go, and Scala. Distributed systems: Well-developed understanding of distributed systems, cloud computing, and containerization technologies. 108 E 16th Street, New York, NY More ❯

will be responsible for architecting and implementing VCF solutions to support the customer's telecommunications needs. Strong technical skills, a deep understanding of networking, and experience with automation and containerization are essential for this position. Responsibilities: Design and implement VCF solutions for a Federal customer, leveraging vSphere, vSAN, NSX, and Aria. Provide expert guidance on network architecture, automation, and containerization. More ❯

SBIR/STTR or other government-funded projects. Preferred Qualifications: Experience with TechSoft3D HOOPS, Unity, and augmented reality systems. Familiarity with OpenGL, 3D modeling, and visualization frameworks. Knowledge of containerization (Docker/Singularity) and deployment of ML models in operational environments. Publications or patents in relevant fields (sensor fusion, AI, embedded systems). More ❯

we favour behaviours and experience over a specific toolset, programming language etc so please use this as a guide not a requirement! Leading and motivating others C# .NET Microservices Containerisation Object Orientation Requirements Engineering See what we do at Primary Location: GB - Luton - Cap. Green 300 Contract Type: Hybrid Working: Hybrid Similar Jobs (3) Lead Software Engineer (Embedded Ada) locations More ❯

and written); additional languages are a plus. Nice to Have Certifications such as CBCI , ISO 22301 , or equivalent. Familiarity with incident management platforms (e.g., PagerDuty, Opsgenie). Understanding of containerization (Docker/Kubernetes) and cloud resiliency is a plus. What Makes You a Strong Fit You are deeply invested in organizational resilience and take a proactive approach to risk management. More ❯

Terraform for scalable and secure provisioning. Compliance & Security: Ensure platform provisioning aligns with ISO and SOC compliance standards while collaborating with the InfoSec team to maintain security best practices. Containerisation & Orchestration: Deploy and manage containerised applications using Docker and other orchestration tools. Observability & Monitoring: Provision and maintain observability platforms such as DataDog, Splunk, or New Relic to gain monitoring and More ❯

vision techniques applied to satellite/aerial imagery Proficiency with geospatial metadata standards and their importance in analysis Experience evaluating dataset suitability for ML training and deployment Experience with containerization (Docker) and workflow automation for geospatial pipelines Strong ability to visualize data for consumption by both technical and non-technical audiences Active Top Secret security clearance Preferred Qualifications: Master's More ❯

and diagnostic abilities for BAU escalations An aptitude for Security and a keen eye for detail. Ideally but not mandatory - Load Balancing, IP Telephony and contact centre services and containerisation Experience/understanding of FCA rules and regulations along with ITIL experience is preferential but not essential. You will have a proven track record in cloud infrastructure with a sound More ❯

part of a supportive on-call team. Building internal tools to support your colleagues. Technology we love Go, Python, PHP Protocol buffers, gRPC Node, Typescript MySQL, Redis Elasticsearch, DynamoDB Containerisation, Lambda Why join Muzz? We're a profitable Consumer Tech startup, backed by Y Combinator (S17) and based in London. Join our fast growing team and work on an amazing More ❯

part of a supportive on-call team. Building internal tools to support your colleagues. Technology we love Go, Python, PHP Protocol buffers, gRPC Node, Typescript MySQL, Redis Elasticsearch, DynamoDB Containerisation, Lambda Why join Muzz? We're a profitable Consumer Tech startup, backed by Y Combinator (S17) and based in London. Join our fast growing team and work on an amazing More ❯

Networking Skills: Proven experience with on-premise networking, including server, switch, and cabling management. Linux Proficiency: Knowledge of Linux systems, with experience in Rocky Linux being a plus. Virtualisation & Containerisation: Competence with platforms like Hyper-V and Kubernetes to support infrastructure scalability. Certifications: Relevant certifications (eg, Azure Administrator Associate, Network+) are highly desirable. Clearance: Eligibility and the willingness for DV More ❯

from prototyping to production deployment. Familiarity with one or more LLM stacks (OpenAI, Hugging Face Transformers, LangChain etc) Experience with model serving frameworks and scalable deployment strategies Experience with containerisation and orchestration "Nice To Have" Skills and Experience : Exposure to hardware design or verification processes (e.g., RTL, formal verification, simulation workflows). Familiarity with vector search, retrieval-augmented generation (RAG More ❯

in DevOps and Cybersecurity Deep and practical understanding of version control, CI/CD tooling, artifact repository management, IDEs, code quality and testing, OSS governance and security, configuration management, containerization and orchestration, AI-code assist Years of success in the sale of technical solutions within the software development lifecycle Proven track record of successfully running the marathon that is the More ❯

model-driven network programmability e.g. RESTCONF, NETCONF, GNMI & YANG models. Strong software development skills with a focus on network automation e.g. Ansible, Jinja2 & Python. Strong datacentre infrastructure skills, Virtualisation, Containerisation, DC switch fabric (VXLAN/EVPN), Network attach storage & Firewalls. Strong understanding of cyber security best practice, using this to promote a "secure by design" approach. Excellent interpersonal skills and More ❯

model-driven network programmability e.g. RESTCONF, NETCONF, GNMI & YANG models. Strong software development skills with a focus on network automation e.g. Ansible, Jinja2 & Python. Strong datacentre infrastructure skills, Virtualisation, Containerisation, DC switch fabric (VXLAN/EVPN), Network attach storage & Firewalls. Strong understanding of cyber security best practice, using this to promote a "secure by design" approach. Excellent interpersonal skills and More ❯

natural language processing applications, including topics such as embeddings, prompt engineering and fine-tuning. • Strong software engineering foundations such as version control, unit/integration testing, CI/CD, containerization plus a mindset of building for reliability and scale. • Experience working in product-focused teams, collaborating with designers, engineers, and PMs, to scope and ship AI features iteratively • Ability to More ❯

expert on generative AI, providing guidance to cross-functional teams including digital, platform, and governance stakeholders. Deploy and Scale AI Solutions Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms More ❯

good workload management skills. C7. Excellent interpersonal skills, including influencing and negotiation skills. C8. Able to demonstrate the application of orchestration skills. C9. Able to demonstrate the deployment of containerisation technologies. Desirable: D1. Able to conduct an estate audit assessment and produce documentation. D2. Able to develop and maintain Standard Operating Procedures. Experience Essential E1. Significant experience in a relevant More ❯

must have significant commercial experience and a passion for working in: Java (8-17) Spring Boot developing and using enterprise APIs and commercial experience with: SQL and NoSQL databases Containerisation Working in a continuous delivery environment Distributed and horizontally scalable systems Observability and monitoring tools Triaging production issues Performance tuning of JVM apps Nice to have Not vital, but you More ❯

in: Writing production-level, scalable code. MLOps, machine learning engineering, big data, or a related role. Working with relational and non-relational databases, data processing frameworks, and data orchestration. Containerization, cloud platforms, CI/CD, and workflow orchestration. Distributed systems programming and AI/ML solutions architecture. Additional Preferred Qualifications: 2-3 years of experience operationalizing data-driven pipelines for More ❯

in: Writing production-level, scalable code. MLOps, machine learning engineering, big data, or a related role. Working with relational and non-relational databases, data processing frameworks, and data orchestration. Containerization, cloud platforms, CI/CD, and workflow orchestration. Distributed systems programming and AI/ML solutions architecture. Additional Preferred Qualifications: 2-3 years of experience operationalizing data-driven pipelines for More ❯