951 to 975 of 4,318 Permanent DevOps Jobs

or Shell Knowledge of Infrastructure as Code (IaC) tools e.g. bicep Experience with cloud platforms (AWS, Azure, GCP). Familiarity with CI/CD tools (Jenkins, GitLab, CircleCI, Azure DevOps). Ability to explain complex security topics in an understandable manner. Strong problem-solving skills and the ability to work under pressure. Knowledge of networking, firewalls, VPNs, IDS/IPS More ❯

of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting DevOps tools with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. More ❯

of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting DevOps tools with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. More ❯

of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting DevOps tools with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. More ❯

of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting DevOps tools with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. More ❯

of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting DevOps tools with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. More ❯

of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting DevOps tools with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. More ❯

of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting DevOps tools with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. More ❯

of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting DevOps tools with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. More ❯

design patterns. Optimize performance for scalability and reliability. Conduct code reviews and uphold coding standards. Mentor junior engineers and promote knowledge sharing. Collaborate with UX/UI, QA, and DevOps teams to deliver cohesive solutions. Maintain automated tests using Playwright. Manage source control with Git (Bitbucket). Use CI/CD pipelines (TeamCity, Octopus Deploy) for efficient delivery. Troubleshoot complex More ❯

community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. More ❯

community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. More ❯

community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. More ❯

community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. More ❯

practices in software engineering. • Optimize application performance, scalability, and maintainability. • Design and implement robust CI/CD pipelines to support automated build, test, and deployment processes. • Work closely with DevOps teams to improve delivery pipelines, infrastructure automation, and deployment strategies. • Ensure the security, reliability, and compliance of applications through thoughtful design and automation. • Participate in system architecture discussions and influence More ❯

solutions to detect and respond to real-time security incidents. Troubleshoot infrastructure and security issues, performing root cause analysis in production. Mentor junior engineers in security best practices and DevOps approaches. Collaborate with technical leads to enhance internal workflows and security processes. Essential Knowledge, Skills and Experience: Hands-on experience with cloud infrastructure, ideally Oracle Cloud (OCI), including provisioning, configuration More ❯

seamlessly Market-Relevant Technologies: Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space Sales Techniques and Soft Skills More ❯

including best practices for modular, testable, and version-controlled data models. Proficiency in infrastructure-as-code deployments, especially using Terraform for Azure, Snowflake, and related platforms. Experience with Azure DevOps CI/CD pipelines, including YAML pipeline creation, artifact management, and automated secrets handling. Good Scripting skills in SQL, PowerShell, and Python, combined with a strong understanding of security, compliance More ❯

monitoring, drift detection, and anomaly response processes. * Ensure model explainability, interpretability, and reproducibility; maintain model lineage and version control. * Manage cross-functional teams (data scientists, ML engineers, software engineers, DevOps) to operationalize models reliably and securely. * Establish and track key model performance indicators (KPIs) and service-level objectives (SLOs). * Ensure compliance with relevant regulations, industry best practices, and internal More ❯

monitoring, drift detection, and anomaly response processes. * Ensure model explainability, interpretability, and reproducibility; maintain model lineage and version control. * Manage cross-functional teams (data scientists, ML engineers, software engineers, DevOps) to operationalize models reliably and securely. * Establish and track key model performance indicators (KPIs) and service-level objectives (SLOs). * Ensure compliance with relevant regulations, industry best practices, and internal More ❯

with AWS and/or Azure, including validation of distributed services and core cloud components. • CI/CD integration expertise, embedding automated tests into pipelines (e.g., GitHub Actions, Azure DevOps) to support fast and reliable delivery. • Strong quality engineering mindset, with experience in defining test strategies, implementing shift-left practices, and establishing quality gates across the SDLC. • Experience in performance More ❯

and best practices. You'll be a great addition to our team if you have the following skills, knowledge and experience Experienced at a senior level in Platform Engineering, DevOps, or a related field such as software development, with significant hands-on experience as well as demonstrable leadership and team mentoring skills. Technical Expertise Extensive experience with AWS services (EC2 More ❯

RDBMS (Oracle/Sybase)/NoSQL databases (Document DB) AWS and cloud-native microservices containerised architecture (e.g. K8s, Docker) Modern software engineering practices with CI/CD pipelines and DevOps principles TDD/BDD testing frameworks Desirable Java (21) and Spring Boot Interview Process 3 Stage Interview Stage 1 - Discussion with our Hiring Manager (30mins): A chance to talk with More ❯

in a fast-paced setting. Skills That Matter in This Role Bachelor’s degree in computer science, Engineering, Information Technology, or equivalent experience. AWS Certifications (Solutions Architect, SysOps Administrator, DevOps Engineer) are desirable. Kubernetes Certifications (CKA, CKS, CKAD, KCNA) are desirable. Experience with a systems programming language, such as Go or Python, and shell scripting. Proficient with Terraform and infrastructure More ❯

A ruthless approach towards automation Experience in programming or scripting languages Experience supporting message-based architecture AWS Certification to 'Cloud Practitioner' level or above or equivalent Strong understanding of DevOps principles and practices, including CI/CD pipelines, infrastructure as code (IaC), and automated testing Experience with industry-standard monitoring tools (ITRS or similar) Hands-on experience with containerization technologies More ❯