1 to 25 of 290 Permanent Python Jobs in Scotland

Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management/Events). (Preferred) Programming expertise in Python, Java, Scala, SQL, Spark, Unix shell scripting, and AWS CLI. (Preferred) Great background in building and managing AWS platforms for analytics and data lake workloads ...

Databricks, or Snowflake platform administration and engineering support is a MUST. Experience with monitoring tools, automation frameworks, and CI/CD pipelines. Proficient in Python application program development with use of automated unit testing. Experience with Terraform development and understanding of Terraform enterprise. Experience in delivering system design, application development ...

Databricks, or Snowflake platform administration and engineering support is a MUST. Experience with monitoring tools, automation frameworks, and CI/CD pipelines. Proficient in Python application program development with use of automated unit testing. Experience with Terraform development and understanding of Terraform enterprise. Experience in delivering system design, application development ...

financial services business or financial regulatory body Proficient in modern data warehousing and database development (on-premises and cloud) using SQL, NoSQL, TSQL and Python to manipulate unstructured and structured data and draw insights from large and diverse data sets. Microsoft on-premises and cloud data stack are preferred Proficient ...

London or Edinburgh or are within commutable distance. Solid experience in DevOps and Platform Engineering. Proven architectural and design skills. Programming and scripting languages: Python, Go, YAML, JSON, etc. Experience with policy as code (e.g., Open Policy Agent and Rego). Git and version control workflows. CI/CD tools ...

mission critical production environment Strong understanding about container technologies such as Docker, Kubernetes, GKE and HELM Experiencein programming in one of the following languages: Python, shell scripting or GO along with good understanding of REST APIs Hands-on experience with cloud-based technologies and tools especially in deployment, monitoring ...

degree or equivalent practical experience Hands-on experience delivering system design, application development, testing, and operational stability in an agile environment Proficiency in Python and Java Proficiency in automation and continuous delivery methods, including continuous integration and continuous deployment practices Working knowledge of cloud-native delivery on Amazon Web Services ...

than consuming a cluster someone else runs. Infrastructure as code: Strong Terraform, and production experience on AWS. GCP or Azure alongside it is welcome. Python: Solid enough for real automation and operational tooling, with sound engineering practice around it. Pipelines: Built and maintained CI/CD with GitHub Actions, GitLab ...

Formal training or certification on software engineering or systems concepts and applied experience Advanced proficiency with infrastructure-as-code (e.g., Terraform) and scripting in Python and/or shell Deep hands-on experience with CI/CD tooling and building release automation at scale Strong experience with Kubernetes, containerisation ...

What You’ll Bring Core BSc or equivalent in Computer Science or a related field. 5+ years of commercial full stack engineering experience. Strong Python skills with production experience in FastAPI, Django, Flask, or similar. PostgreSQL fluency schema design, SQL, and ORM frameworks such as SQLAlchemy. Proven commercial experience with ...

depth knowledge in one or more technical disciplines (e.g., cloud, observability, distributed systems, etc.) Advanced proficiency in one or more programming languages (e.g., Java, Python, Go, etc.) Advanced proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana ...

Formal training or certification on software engineering or systems concepts and applied experience Advanced proficiency with infrastructure-as-code (e.g., Terraform) and scripting in Python and/or shell Deep hands-on experience with CI/CD tooling and building release automation at scale Strong experience with Kubernetes, containerisation ...

related techniques as applied to architecture or software engineering disciplines. Hands-on experience with object-oriented software development using languages such as Java, Python, or C++; data formats including XML and JSON; and database management technologies including SQL, Oracle, Cassandra, and Public Cloud data offerings. Very strong knowledge ...

team-wide initiatives: code reviews, design discussions, ADRs, process improvements, and workstream planning. What You’ll Bring Core Significant commercial software engineering experience. Strong Python, with production experience in FastAPI, Django, Flask, or similar. PostgreSQL fluency, schema design, query optimisation, and ORM frameworks such as SQLAlchemy/SQLModel. Commercial experience ...

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Corporate Technology, you serve as a seasoned ...

Production Engineering, Platform Engineering or a related discipline. * Strong practical experience with SRE principles and production environments. * Strong programming/scripting skills, such as Python, Go, Java, C# or Bash. * Proven experience in incident management, troubleshooting and root cause analysis. * Strong observability and monitoring experience. * Experience with AWS, Azure ...

continuous improvement Required qualifications, capabilities, and skills Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering ...

messaging platforms (e.g., Amazon MSK/Kafka, EventBridge, SNS) Familiarity with containerization and platform engineering patterns (Docker, Kubernetes, Helm) and scripting for automation (e.g., Python) Familiarity with server‐side development in Java and/or Kotlin using the Spring Boot ecosystem Exposure to multi‐region or disaster‐recovery architecture patterns ...

continuous improvement Required qualifications, capabilities, and skills Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering ...

continuous improvement Required qualifications, capabilities, and skills Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering ...

discipline Proven hands‐on experience deploying LLMs and multi‐modal AI models within enterprise or large‐scale production environments Strong software engineering expertise in Python, including backend development, API design, and distributed systems Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud‐native AI deployment architectures Excellent ...

cloud networking. Experience integrating and optimizing software delivery ecosystems (Git, Artifactory, Jenkins) as part of a cohesive platform strategy. Strong scripting and automation skills (Python, Bash, Go, etc.). Proven leadership, mentoring, and stakeholder communication skills. A knack for solving hard problems and making systems better. You’ll help shape ...

deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/or PySpark Advanced knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering Experience ...

related techniques as applied to architecture or software engineering disciplines. Hands‐on experience with object‐oriented software development using languages such as Java, Python, or C++; data formats including XML and JSON; and database management technologies including SQL, Oracle, Cassandra, and Public Cloud data offerings. Very strong knowledge ...

depth knowledge in one or more technical disciplines (e.g., cloud, observability, distributed systems, etc.) Advanced proficiency in one or more programming languages (e.g., Java, Python, Go, etc.) Advanced proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana ...