951 to 975 of 4,334 Permanent DevOps Jobs

with testing tools like Cypress or Selenium . Familiarity with NoSQL databases like DynamoDB . Understanding of DevSecOps principles. Experience working in a PCI-DSS compliant environment. Experience of DevOps ( IaC , configuring CI/CI , automation and infrastructure management). What We Offer The majority of this role will be hybrid with on site visits once a week. A friendly More ❯

with testing tools like Cypress or Selenium . Familiarity with NoSQL databases like DynamoDB . Understanding of DevSecOps principles. Experience working in a PCI-DSS compliant environment. Experience of DevOps ( IaC , configuring CI/CI , automation and infrastructure management). What We Offer The majority of this role will be hybrid with on site visits once a week. A friendly More ❯

with testing tools like Cypress or Selenium . Familiarity with NoSQL databases like DynamoDB . Understanding of DevSecOps principles. Experience working in a PCI-DSS compliant environment. Experience of DevOps ( IaC , configuring CI/CI , automation and infrastructure management). What We Offer The majority of this role will be hybrid with on site visits once a week. A friendly More ❯

with testing tools like Cypress or Selenium . Familiarity with NoSQL databases like DynamoDB . Understanding of DevSecOps principles. Experience working in a PCI-DSS compliant environment. Experience of DevOps ( IaC , configuring CI/CI , automation and infrastructure management). What We Offer The majority of this role will be hybrid with on site visits once a week. A friendly More ❯

or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes. Familiarity with SQL and NoSQL databases (Cassandra, Postgres), ideally combined with data collaboration platforms (Snowflake, Databricks) Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent). Exposure to analytics, reporting, and BI tools such as Apache Superset, Lightdash or OpenSearch More ❯

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 ❯