126 to 150 of 4,317 Python Jobs

such as EC2, S3, RDS, ELB, VPC, CloudFormation, etc. Experience with cloud automation and scripting tools (e.g., Terraform, CloudFormation, Ansible). Knowledge of programming and scripting languages such as Python, Bash, or JavaScript. Familiarity with Docker, Kubernetes, and other containerization and orchestration technologies. Strong understanding of network technologies as they relate to AWS. Ability to troubleshoot complex cloud infrastructure issues. More ❯

Science, Engineering, or related field (Master's preferred). Software development experience in AI/LLM development (OpenAI, Anthropic, Hugging Face, LangChain, RAG pipelines, etc.). Programming skills in Python, JavaScript/TypeScript, or similar. Experience building AI-enabled web applications and APIs. Hands-on experience with collaboration platforms (SharePoint, Confluence, custom-built portals, etc.). Proficiency with cloud environments More ❯

at least 2 years in a solution architecture role. Strong knowledge of system integration, cloud platforms (AWS, Azure, GCP), and microservices. Proficiency in programming languages such as Java, .NET, Python, or C#. Experience with databases (SQL, NoSQL), APIs, and messaging systems (Kafka, JMS). Familiarity with Agile methodologies and DevOps practices. Excellent communication, analytical, and leadership skills. Preferred Certifications: AWS More ❯

or related technical field-or equivalent experience. Minimum 5-8 years of experience in automation testing within complex IT/OT environments. Expertise in scripting languages such as Java, Python, JavaScript or C#. Strong knowledge of databases (SQL, Oracle) and query-based validation. Hands-on with CI/CD tools (Jenkins, GitLab CI), DevOps processes, and code versioning (Git, SVN More ❯

containization technologies) are strong advantages Solid understanding of Google Cloud Identity and Access Management (IAM) and Role-Based Access Control (RBAC) Experience with scripting languages, e.g. PowerShell, Bash and Python Strong communications and collaboration skills with the ability to produce clear documentation in corporate Wiki tools Experience of other Cloud Service such as Microsoft Azure and AWS, is also a More ❯

Hands-on experience with tools like Terraform, Kubernetes, SIEM platforms, and security scanners Familiarity with DevSecOps practices and modern CI/CD pipelines Strong scripting or coding skills (e.g., Python, Bash, or PowerShell) Excellent problem-solving, communication, and stakeholder engagement skills Nice to Have Security certifications (e.g., CISSP, AWS Security Specialty, OSCP, CISM) Experience with zero-trust architecture or secure More ❯

to solve infrastructure challenges and enable rapid, stable software delivery. Key Technologies and Concepts: 1) Amazon Web Services (AWS) 2) Infrastructure as Code and automation (e.g., CloudFormation, Terraform, Ansible, Python, Bash) 3) DevOps pipelines, CI/CD tooling, and containerization (e.g., GitLab, Jenkins, Docker, Kubernetes) 4) Monitoring and observability in production environments (e.g., CloudWatch, Splunk, Prometheus) 5) Security, cost optimization More ❯

Azure networking (VNETs, subnets, NSGs). Experience managing hybrid cloud environments. Ability to work in Agile teams with collaboration tools such as Jira and Confluence. Desired Qualifications Experience with Python, Go, or Java for automation and system development. Experience with containerization (Docker) and orchestration (Kubernetes). Familiarity with Azure Active Directory (AAD) and multi-tenant cloud environments. Experience automating Azure More ❯

Workflow Design Skills. Candidates must be able to describe how they identify and improve existing workflows. Demonstrated experience with Microsoft Power Automate and knowledge of programming languages such as Python, Java, or C#. Candidates must provide evidence of workflows they have automated and improved. Knowledge of REST API concepts, event management, and cross-tool connectivity. Candidates should understand how process More ❯

premise and off-premise cloud environments. - Experience with AWS, Azure and/or GCP - Ability to program (structured and OOP) using one or more high-level languages, such as Python, Java, C/C++, Ruby, and JavaScript - Experience with distributed storage technologies such as NFS, HDFS, Ceph, and Amazon S3, as well as dynamic resource management frameworks (Apache Mesos, Kubernetes More ❯

to 3 years of experience Relevant Masters/Doctoral Degree: equivalent to 2 years of experience Relevant Certifications: equivalent to 3 months of experience Strong scripting skills (e.g., Bash, Python, Ruby). Experience with infrastructure as code tools (e.g., Terraform, Ansible). Knowledge of containerization technologies (e.g., Docker, Kubernetes). Understanding of CI/CD pipelines and automation tools. Familiarity More ❯

Microsoft Certified: Azure Solutions Architect CISSP or CASP+ Experience with: Secure Cloud Computing Architecture (SCCA) Red Hat Enterprise Linux (RHEL) Virtualization tools (e.g., VMware, OpenShift) Programming/scripting languages: Python, C/C++, Java, JavaScript, Bash, Ansible, PowerShell Agile methodologies and collaboration platforms EEO Statement: OSAAVA Services is an Equal Opportunity Employer. We encourage applications from all qualified individuals, including More ❯

work with XML. Ability to be flexible in supporting dynamic user needs. Strong troubleshooting skills. Proven experience in COTS/FOSS integration and support. Scripting Knowledge and experience: JavaScript, Python, Perl, etc. Experience with DevOps tools and management platform: Chef, Jenkins, Ansible, Docker, Kubernetes, etc. Desired Experience Knowledge with the following Big Data technologies: Data Ingest (JSON, Kafka, Microservices, Elastic More ❯

frameworks and design patterns. Create middleware and intranet applications that streamline internal workflows and communication between distributed systems. Write clean, maintainable, and efficient code across multiple languages (C#, PHP, Python, JavaScript). Develop and consume REST APIs, ensuring secure, performant communication between services. Ensure scalability and resilience in applications handling large volumes of traffic and burst events. Work collaboratively with More ❯

frameworks and design patterns. Create middleware and intranet applications that streamline internal workflows and communication between distributed systems. Write clean, maintainable, and efficient code across multiple languages (C#, PHP, Python, JavaScript). Develop and consume REST APIs, ensuring secure, performant communication between services. Ensure scalability and resilience in applications handling large volumes of traffic and burst events. Work collaboratively with More ❯

or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯

or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯

or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯

improvements to architecture practices. Technical Skills & Experience Must-have: Extensive experience designing and implementing enterprise-scale data architectures Proficiency in data integration and ETL processes. Advanced skills in SQL, Python, or equivalent programming languages. Strong knowledge of data governance, data security, and compliance frameworks. Expertise in Master & Reference Data Management and Data Quality best practices. Cloud-based architecture experience (AWS More ❯

Hands-on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data visualisation, DevOps principles, and ML/AI integration into data architectures Strong grasp of data governance, security, and regulatory compliance (GDPR, HIPAA, etc.) Exceptional communication More ❯

both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years of professional experience across software engineering, DevOps, or applied data science Strong programming skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud More ❯

both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years of professional experience across software engineering, DevOps, or applied data science Strong programming skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud More ❯

both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years of professional experience across software engineering, DevOps, or applied data science Strong programming skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud More ❯

to work with both You have a good knowledge of Containers (Nomad/Kubernetes), Virtualisation, IaC, Terraform, Networking, DNS, Gitlab/Github and Linux You can write scripts with Python, Go or bash You have a good understanding of Foundational Security Concepts, strong analytical and problem solving skills You're collaborative and pragmatic with great communication and stakeholder management skills More ❯

orchestration expertise (e.g. Kubernetes, Docker ). Strong understanding of CI/CD pipelines and continuous delivery practices. Scripting or coding experience in at least one language (e.g. PowerShell, Bash, Python, Go, Groovy). Eligibility for SC Clearance (mandatory due to client requirements). Desirable: Public cloud certifications (AWS/Azure). Certifications in Kubernetes (CKAD, CKA). Experience of cloud More ❯