226 to 250 of 4,164 Kubernetes Jobs

infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker, Kubernetes), or serverless architecture. Awareness of principles like well architected and secure by design Desirable Previous experience in a senior engineering role, guiding teams to successful ...

infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker, Kubernetes), or serverless architecture. Awareness of principles like well architected and secure by design Desirable Previous experience in a senior engineering role, guiding teams to successful ...

including complex queries and performance optimisation. Hands‐on experience with CI/CD tools , version control (Git), and container technologies such as Docker and Kubernetes . Experience with automated testing frameworks such as JUnit, Mockito, Selenium, or similar . Understanding of secure software development principles and best practices. Exposure ...

mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience developing and deploying containerized applications using Kubernetes K-8. Experience developing and deploying applications in Amazon Web Services (AWS). Experience with Docker, CI/CD, Git, REST APIs, microservices, and secure ...

complex distributed systems and network issues Clear communication skills and ability to collaborate effectively across engineering teams Nice to have Experience with containers and Kubernetes Familiarity with AWS governance and security controls, including SCPs and IAM policies Experience improving reliability, observability, performance, or incident response processes Exposure to large-scale ...

Requirements** • Deep expertise in cloud architecture across AWS, Azure, or Google Cloud platforms. • Strong experience designing microservices-based architectures, APIs, and containerized environments (Docker, Kubernetes). • Proven ability to architect solutions across enterprise systems, integration layers, and data platforms. • Advanced knowledge of cybersecurity principles, data privacy, and regulatory compliance frameworks. ...

Gateway, Lambda) Familiarity with microservices, service decomposition, event-driven patterns, and domain-driven design Experience with containerization and orchestration tools such as Docker and Kubernetes Understanding of Infrastructure as Code tools (e.g., Terraform) and environment provisioning Experience with observability tools and concepts (logging, metrics, tracing, OpenTelemetry) Exposure to integrating ...

scripting against it . Experience of working with , designing, deploying , or supporting containerized environments (ECS/EKS/Kubernetes/Docker ) is usefu l, but not essential. Expe rience of Jenkins or other CI/CD pipeline technology useful . Able to leverage AI tools to improve productivity and quality ...

modules and automation frameworks. Experience with policy-as-code and infrastructure governance. Strong experience with: Docker Container security Service mesh technologies Experience operating production Kubernetes environments. CI/CD & Release Management Experience with: GitHub Actions Jenkins Strong understanding of: GitOps Deployment strategies Release automation Configuration management API & Integration Technologies Experience ...

tools in use here. Infrastructure here lives in version control and goes through review like application code. Containers and orchestration: Docker and Kubernetes, including how workloads are scheduled, configured, and given access to resources at runtime. CI/CD and DevOps practice: experience building pipelines (GitLab CI, GitHub Actions, Jenkins ...

Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead‐letter queues, error isolation). Cloud & Infrastructure : Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads. Observability & Operations : Application instrumentation (metrics, distributed tracing, structured logging) and production support in high‐availability environments. Data & Performance ...

native data services. Familiarity with Infrastructure as Code and modern cloud‐native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. ...

/CD pipelines and automated testing frameworks. Experience with various architecture patterns, e.g. microservices and event-driven. Experience with containerization technologies (e.g. Docker, Kubernetes). Proven ability to manage and lead engineering teams to success. Expertise in designing scalable and secure software architectures. Desirable: Knowledge of emerging technologies like ...

architecture, including RESTful API services and Kotlin-based microservice patterns. Expertise in public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes).In-depth knowledge of Infrastructure as Code tools such as CloudFormation or Terraform. Proficient in using CI/CD tools such as Jenkins or Azure ...

architecture, including RESTful API services and Kotlin-based microservice patterns. Expertise in public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes).In-depth knowledge of Infrastructure as Code tools such as CloudFormation or Terraform. Proficient in using CI/CD tools such as Jenkins or Azure ...

architecture, including RESTful API services and Kotlin-based microservice patterns. Expertise in public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes).In-depth knowledge of Infrastructure as Code tools such as CloudFormation or Terraform. Proficient in using CI/CD tools such as Jenkins or Azure ...

native data services. Familiarity with Infrastructure as Code and modern cloud-native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. ...

machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions* Hands-on experience with containerization technologies such as Docker and Kubernetes, including cluster management, deployment, scaling, and observability* Deep practical knowledge of algorithmic trading workflows, including the behaviour, lifecycle, and risk controls of execution algos used across ...

Apache Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead-letter queues, error isolation)Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloadsObservability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high-availability environmentsData & Performance: Data modeling ...

skills using C#, F#, ASP.NET MVC, HTML, CSS, and JavaScript. JavaScript library and framework experience is preferable – Node, React, Angular. Containerisation expertise – Docker or Kubernetes or similar. Expert knowledge of Microservices design and architecture, including RESTful API Services. Expertise working within agile methods and using techniques such as Scrum, Kanban ...

pipelines, model serving, or LLM-powered applications and retrieval-augmented generation (RAG).Cloud and platform engineering experience with AWS, Azure or GCP; Docker or Kubernetes; Infrastructure as Code such as Terraform; or deployment pipelines such as GitHub Actions. Depth in distributed or event-driven systems, asynchronous processing, or data-intensive ...

processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications ...

Apache Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead-letter queues, error isolation) Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads Observability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high-availability environments Data & Performance ...

machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions Hands-on experience with containerization technologies such as Docker and Kubernetes, including cluster management, deployment, scaling, and observability Deep practical knowledge of algorithmic trading workflows, including the behaviour, lifecycle, and risk controls of execution algos used across ...

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris ...