Software Engineer III- Python/Java
On-siteGlasgow, Scotland, United Kingdom
Job Summary
Design and deliver trusted market-leading technology products by executing software solutions, development, and technical troubleshooting across multiple technical areas. Create secure, high-quality production code and maintain algorithms running synchronously with appropriate systems while leveraging enterprise-authorized AI coding assist tools to improve code quality and delivery speed. Perform platform design, set-up, and configuration to provide engineering support to data engineering, Data Science/ML, and application teams. Collaborate with engineering groups to optimize infrastructure and deployment processes, focusing on automation and operational excellence to eliminate recurring issues. Lead evaluation sessions with external vendors to drive outcomes-oriented probing of architectural designs and contribute to software engineering communities of practice.
Required Qualifications
- Formal training or certification on software engineering concepts and applied experience
- Extensive experience with AWS Databricks platform administration and engineering support
- Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management
- Experience with monitoring tools, automation frameworks, and CI/CD pipelines
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
- Proficient in Python and/or Java application program development with use of automated unit testing
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce etc
- Excellent troubleshooting, analytical, and communication skills
Desired Qualifications
- Experience in Data pipelines using Spark
- Exposure to AWS & Databricks Platform administration
- Knowledge of containerization (Docker, Kubernetes) and orchestration
- Familiarity with distributed systems and large-scale data processing
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