14 of 14 Remote/Hybrid AWS Jobs in Gloucester

functional teams to deliver solutions that solve genuine business challenges Tech Stack: Core: C#, .NET Core Architecture: Event-driven, microservices-oriented design Cloud: Azure (AWS experience valued), Infrastructure-as-Code Data: SQL, caching strategies, message brokers (RabbitMQ, etc.) Frontend: HTML, CSS, JavaScript DevOps: CI/CD pipelines, Behaviour-Driven Development ...

deployment Tech Stack Includes: Java, Python, Linux, Git, JUnit, GitLab CI/CD, Oracle, MongoDB, JavaScript/TypeScript, React, Apache NiFi, Elasticsearch, Kibana, AWS, Hibernate, Atlassian Suite What’s on Offer: Hybrid working and flexible schedules (4xFlex) Ongoing training and career development Exciting projects within the UK’s secure technology ...

environment. What you'll need: Core Technology skills required – Strong full stack software engineering skills. Desirable technology skills: Python, Django, React, JavaScript, MySQL, SPAs, AWS (Lambda, CloudFormation, RDS). 5+ years of relevant experience in the core technology skills Best practice software development skills and practices. Excellent communication skills with ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

understanding of React/JavaScript/Typescript for web or mobile app development. Desirable skills/requirements 4. Experience with cloud/server management (AWS, Azure, or local hosting). 5. Knowledge of cybersecurity best practices. 6. Familiarity with machine learning frameworks (e.g. TensorFlow, PyTorch). 7. Previous leadership ...

modelling, experimentation and inference Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs ...

commercial experience in the following areas: React.js and TypeScript C# and .NET Git workflows: branches, PRs, code review etiquette CI/CD fundamentals AWS basics: EC2, S3, CloudFront, Lambda, RDS, IAM principles Proven ability to work in a fast moving agency or client facing environment, managing context switching across multiple ...

data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson ...

Alliance partners Strong Client focus and commitment to continuous improvement Strong strategy, research, analytical and negotiation skills Strong knowledge and relationships with hyperscalers (AWS, GCP, Azure) Ability to proactively network and establish effective working relationships Excellent Presentation and communication skills - both written and verbal Attention to detail ...

Bitbucket Work with Version Control Systems including Git, Mercurial, and Perforce Implement and maintain automated testing frameworks Deploy and manage Cloud Computing infrastructure, particularly AWS and MS Azure Work with containerisation technologies including Docker and Kubernetes Have opportunities to mentor junior level developers The Senior DevOps Engineer will have: Experience … with AWS Cloud, containerisation (Docker, Kubernetes). Strong programming experience in one or more of JavaScript, Java, .Net, or Python Proven experience working within agile environments using Scrum, Lean, or Kanban methodologies Knowledge of CI/CD pipelines and automated testing frameworks Understanding of common software design patterns and static ...

Hybrid Work Set up. You will manage our infrastructure across three servers (development, beta, and production), with our production server hosted on AWS and additional projects running on GCP and Azure. This role requires minimum 36 hours per week, spread across 7 days a week, and demands a candidate … Management: Oversee and maintain vcomerz's three servers (dev, beta, prod), ensuring high availability, performance, and security. Cloud Operations: Manage our production server on AWS (e.g., EC2, S3, RDS), with additional responsibilities for projects on GCP and Azure. CI/CD Pipelines: Build, maintain, and optimize CI/CD pipelines ...

effort and delivering high-quality code to agreed specifications. Developing software solutions with a strong focus on data processing and information flow. Working with AWS Cloud infrastructure and modern DevOps practices. Analysing and resolving code defects through logical, efficient debugging. Mentoring junior developers and contributing to team knowledge sharing … innovative solutions for customers. A proactive mindset and eagerness to learn new technologies and continuously improve skills. An understanding of cloud technologies such as AWS, Docker, and Microservices (desirable but not essential). Excellent teamwork skills and an appreciation for Agile delivery methods. Strong communication skills, with the ability ...

distributed systems, data platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines … Experience with analytics engines, scoring frameworks, and real-time compute Cloud & Infrastructure AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS) CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines Experience operating highly available systems in production environments Security, Compliance & Enterprise Secure systems design, identity/auth workflows, audit ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...