26 to 50 of 2,085 Remote/Hybrid DevOps Jobs

etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Nice to Have Experience with mobile UI testing (e.g., Appium ...

etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Nice to Have Experience with mobile UI testing (e.g., Appium ...

etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Nice to Have Experience with mobile UI testing (e.g., Appium ...

etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Nice to Have Experience with mobile UI testing (e.g., Appium ...

etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Nice to Have Experience with mobile UI testing (e.g., Appium ...

etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Nice to Have Experience with mobile UI testing (e.g., Appium ...

etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Nice to Have Experience with mobile UI testing (e.g., Appium ...

etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Nice to Have Experience with mobile UI testing (e.g., Appium ...

etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Nice to Have Experience with mobile UI testing (e.g., Appium ...

etc.) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and integrating automated tests. Understanding of Agile methodologies and DevOps practices . Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Nice to Have Experience with mobile UI testing (e.g., Appium ...

architectural decisions Troubleshoot, debug, and resolve complex technical issues Contribute to CI/CD pipelines and deployment processes Collaborate with product, engineering, and DevOps teams to deliver high-quality solutions Perform code reviews and champion engineering best practices Support ongoing improvements to performance, scalability, and security Required Skills & Experience Strong ...

Solid understanding of Git and collaborative development workflows. Knowledge of Docker and containerised application deployment. Familiarity with CI/CD pipelines, automated testing, and DevOps practices. Understanding of software engineering fundamentals, algorithms, and data structures. Exposure to Kubernetes or other container orchestration platforms. Awareness of web security principles and secure ...

FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform ...

FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform ...

cloud security best practices. Background in medical imaging, life sciences, or other regulated software environments (e.g. ISO 13485, IEC 62304). Familiarity with DevOps pipelines, observability, and automated deployment at scale. Demonstrated ability to mentor junior engineers, lead code reviews, and shape architectural decisions. Knowledge of DICOM/DICOMWeb standards ...

Docker containers with clean, minimal builds. Contribute to IaC (Terraform/CloudFormation) and CI/CD pipelines (GitHub Actions/Argo CD) alongside the DevOps team. Support cloud operations with sensible defaults, cost awareness, and environment promotion across dev/staging/prod. Required Skills & Experience SC Clearance ...

strong AWS security experience, capable of designing, implementing, and operationalizing security controls across cloud-native applications and infrastructure. This role partners closely with Engineering, DevOps, and Architecture teams to embed security throughout the Software Development Lifecycle (SDLC), automate controls within CI/CD pipelines, and ensure alignment with industry standards ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...

supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes ...