12 of 12 Permanent AWS Jobs in Bath

server operating systems. Hands-on experience with Kubernetes, including deploying, managing and troubleshooting clusters, and familiarity with Helm charts Experience of using one or more of major cloud providers (AWS, Azure, GCP) and best practices Understanding of microservice architectures and service mesh (e.g., Istio, Linkerd) is a plus Experience with scripting/configuration-as-code experience such as Python, Ansible More ❯

Management (e.g., SQL, NoSQL, PostgreSQL, MongoDB) Version Control (e.g., Git, GitHub) API Development and Integration (RESTful APIs) Data Structures and Algorithms Testing and Debugging Deployment and Cloud Platforms (e.g., AWS, Azure, Google Cloud) Software Development Methodologies (e.g., Agile, Scrum) Person Specification: Experience supporting software development training or mentoring professionals in a technical capacity Strong ability to develop learners from intermediate More ❯

product, and compliance functions. You bring strong mentoring skills and are passionate about fostering team growth and development . You're comfortable working across our stack: Node.js, React, MongoDB, AWS, Lambda, Serverless Framework , and write clean, maintainable code in JavaScript and TypeScript . You thrive in a hands-on leadership role where you can contribute to architecture, delivery planning, and More ❯

operate secure hybrid infrastructure. Job Duties and Responsibilities This is a Kubernetes heavy role, developing and mainting the clusters, and orchestrating with Ansible. Experience in Azure and/or AWS cloud environments. Experience in Python is essential. Experience with Terraform for IaC (Infrastructure as Code) is essential. Linux servers (RedHat, Ubuntu, and Debian) upkeeping and deploying. What We Offer The More ❯

hardening) Ethical Hacking and Penetration Testing (e.g., reconnaissance, vulnerability scanning, exploitation) Security Operations (e.g., SIEM, SOC analysis) Incident Response and Digital Forensics Cryptography and Secure Communications Cloud Security (e.g., AWS, Azure, GCP security best practices) Application Security (e.g., OWASP Top 10) Compliance and Governance (e.g., GDPR, ISO 27001) Security Tools (e.g., Wireshark, Nmap, Metasploit, Kali Linux) Person Specification: Experience delivering More ❯

Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML) Ethics in Data Science and AI Person Specification: Experience supporting data science training or mentoring professionals in a data-focused capacity Strong ability to More ❯

Vulnerability management: Experience scoping, overseeing and interpreting the results of vulnerability scanning, penetration testing, and security audits. Desirable: Cloud Security Expertise: Experience securing cloud-native applications and infrastructure (eg AWS, GCP), including knowledge of cloud security best practices and compliance frameworks Certifications: Relevant industry certifications such as CISSP, CISM, CISA, ISO 27001 Lead Implementer/Auditor, or similar. Supplier Security More ❯

Vulnerability management: Experience scoping, overseeing and interpreting the results of vulnerability scanning, penetration testing, and security audits. Desirable: Cloud Security Expertise: Experience securing cloud-native applications and infrastructure (eg AWS, GCP), including knowledge of cloud security best practices and compliance frameworks Certifications: Relevant industry certifications such as CISSP, CISM, CISA, ISO 27001 Lead Implementer/Auditor, or similar. Supplier Security More ❯

datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. More ❯

the product. Each team will have a squad engineering manager, a product manager and 3-5 engineers with tailored skillsets to the specific domain. Our current technology stack is AWS serverless products ( Lambda , SQS , EventBridge , API Gateway , S3 ) running Typescript on the compute layer and backed by MongoDB for the database layer. We have some C# services and are expanding … out into other AWS products such as ECS Fargate . Our IAC is a mix of Serverless framework and Terraform . We use JIRA for project management, Github actions for our CI/CD pipelines and Incident.io for our incident management process. For more detailed information, feel free to ask for our tech radar and engineering practices. The role The … are comfortable debugging through tracing and observability. Willing to be on-call for your services. Nice to have Have experience with Node.js , specifically Typescript . Have experience with Amazon Web Services . Have experience with serverless products. Have experience with document databases, specifically MongoDB . Have experience mentoring/managing. Have experience in a build-and-run model. Have experience More ❯

across the data platform, including data pipelines, orchestration and modelling. Lead the team in building and maintaining robust data pipelines, data models, and infrastructure using tools such as Airflow, AWS Redshift, DBT and Looker.Ensuring the team follows agile methodologies to improve delivery cadence and responsiveness. Contribute to hands-on coding, particularly in areas requiring architectural input, prototyping, or critical delivery … to foster team growth and development Strong understanding of the data engineering lifecycle, from ingestion to consumption Hands-on experience with our data stack (Redshift, Airflow, Python, DVT, MongoDB, AWS, Looker, Docker) Understanding of data modelling, transformation, and orchestration best practices Experience delivering both internal analytics platforms and external data-facing products Knowledge of modern software development practices (Agile, Scrum More ❯

deliver data analytics and intelligence to our clients in a geospatial context. We are primarily a Python/Django house with an Angular front end. We recently moved to AWS for our cloud operations, and our approach to technology and development is constantly evolving. We are building a team that is able to utilize cloud computing to develop new workflows … relational databases, technical database design, web architecture and application servers. Understanding and experience of geoservers, spatial projections, raster and vector manipulation within python and usage of GDAL Experience with AWS and data management tools, including data lake, data warehouse ETL, SQL based storage and PostgreSQL. Ability to design and implement data pipelines and data-related solutions, ideally within a cloud More ❯