Groovy, JavaScript, Bash, XML, JSON, YAML, SQL and PL/SQL Software: o GitHub/Git, Apache, Tomcat, ActiveMQ, ELK (Elasticsearch, Logstash, Kibana), CloudFormation, Jenkins, Rundeck, Puppet, NAGIOS Original Posting Date: 2024-05-14 While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will more »
with big data technologies such as Apache Hadoop, Spark, or Kafka.Knowledge of data governance and compliance frameworks.Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform).HSBC experience is a plusPlease note, in the event of a high volume of applications for this role, we will not be able to more »
Sheffield, England, United Kingdom Hybrid / WFH Options
Undisclosed
data technologies such as Apache Hadoop, Spark, or Kafka. Knowledge of data governance and compliance frameworks. Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform). HSBC experience is a plus Please note, in the event of a high volume of applications for this role, we will not be more »
Tadworth, Surrey, United Kingdom Hybrid / WFH Options
People Source Consulting
Typescript Wider experience with other UI frameworks such as React or AngularJS. Geo location displays e.g Google Maps, OpenStreetMap Containers for development and deployment Jenkins Jira Skills/Abilities Team player with a 'can do' attitude and 'completer' mentality. Able to work on own initiative and with minimum levels of more »
and NGINX. Implement monitoring and logging solutions using the ELK stack. Set up and manage the CI/CD pipeline using BitBucket, Maven, Terraform, Jenkins, Ansible/Packer, and Kustomize. Qualifications: Minimum of 5 years of hands-on experience in Java software development with leadership responsibilities. Extensive experience in the more »
Kotlin - design, build, and deploy Production deployment experience working with AWS Experience with automated build and test systems for CI/CD (using Docker, Jenkins, etc) Experienced in true Agile and its engineering practices with a true DevOps mindset EDUCATION Bachelor’s Degree in Computer Science, Information Systems, or another more »
for automating data pipeline deployment, monitoring, and management. Hands on experience of designing and building CI/CD pipelines and automation using GitHub Actions, Jenkins, Azure Pipelines or similar tools. Leadership skills with the ability to inspire and mentor engineers, teaching them best practices and fostering a culture of continuous more »
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Venesky Brown
Cloud Formation, Aurora/Postgres, API Gateway, CDK - Testing tools and frameworks, e.g. Cypress - Modern DevOps and CI/CD practices including deployment pipelines, Jenkins and Docker - OpenShift - Human-centred, research-driven, inclusive design practices - Data modelling and SQL development - Spring Web Flow, Spring Boot and Spring MVC - Spring security more »
Kotlin - design, build, and deploy Production deployment experience working with AWS Experience with automated build and test systems for CI/CD (using Docker, Jenkins, etc) Experienced in true Agile and its engineering practices with a true DevOps mindset This will be a key hire for back-end building squads more »
and NoSQL. Familiarity with Tridium/Niagara for data integration purposes is highly desirable. Experience with Continuous Integration (CI) tools and practices, such as Jenkins or GitLab CI. Proficiency in containerization technologies, particularly Docker. Solid understanding of Agile methodologies, particularly Scrum. Excellent communication and interpersonal skills, with the ability to more »
/CD, IaC, PaaS Hands on experience working with network security tooling eg: Firewalls, WAF, IDPS, NDR, DDoS etc Conceptual knowledge of Docker, Kubernetes, Jenkins Significant DevOps/Engineer experience Network security tooling experience Experience working on a Public Cloud - Azure or GCP And any experience of these would be more »
including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech more »
including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech more »
including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech more »
of developing software in Java or Python Understanding of Cloud-based architectures in AWS or Azure Use of DevOps Automated Deployment tools such as Jenkins, Gitlab, Docker, OpenShift or Kubernetes Understanding of database technologies such as SQL, Elasticsearch or MongoDB Security clearance: You must already hold highest level of UK more »
including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech more »
including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech more »
and NoSQL. Familiarity with Tridium/Niagara for data integration purposes is highly desirable. Experience with Continuous Integration (CI) tools and practices, such as Jenkins or GitLab CI. Proficiency in containerization technologies, particularly Docker. Solid understanding of Agile methodologies, particularly Scrum. Excellent communication and interpersonal skills, with the ability to more »
Python Microservices Data pipelines and database programming such as DBT, SQL, BigQuery, Cloud Composer etc CI/CD/DevOps tooling experience e.g., GIT, Jenkins etc What you'll get to learn (any previous experience would be advantageous) Working with the cloud/GCP and the opportunities that it brings. more »
Python Microservices Data pipelines and database programming such as DBT, SQL, BigQuery, Cloud Composer etc CI/CD/DevOps tooling experience e.g., GIT, Jenkins etc What you'll get to learn (any previous experience would be advantageous) Working with the cloud/GCP and the opportunities that it brings. more »
Altrincham, England, United Kingdom Hybrid / WFH Options
Heywood Pension Technologies
Java, Typescript and Groovy. We use approaches such as pair programming, automated testing and continuous integration all supported by DevOps technologies such as Chef, Jenkins, Vagrant, Kubernetes, Terraform, Packer and Docker. Our culture nurtures continuous improvement and you will be a contributor to our investigations into new tools, frameworks, and more »
including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech more »
including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech more »
including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech more »
Code Refactoring) Experience with source code and software collaboration technologies (e.g. GitHub, BitBucket, Artifactory) Experience configuring and managing continuous integration servers (e.g. GitHb Actions, Jenkins, Bamboo, TeamCity, Travis CI, Circle CI,Tekton) Strong scripting skills (e.g. CLI, Go,Python, Bash, Groovy) Good knowledge on programming languages like C#, Java and more »
