9 of 9 Amazon S3 Jobs in the Midlands

Experience Required: Proven experience as a Full-Stack Software Engineer, with strong expertise in Java and JavaScript (React, Angular, or Vue.js). Experience working with AWS services (e.g., Lambda, S3, EC2, RDS, DynamoDB). Familiarity with modern development practices, including Agile methodologies, CI/CD pipelines, and microservices architecture. Solid understanding of RESTful APIs, database management (SQL & NoSQL), and More ❯

line or 3rd line SaaS/application support role. Strong understanding of SaaS platforms and web technologies. Experience with: APIs & Testing Tools: Postman or similar Cloud Platforms: AWS (EC2, S3, RDS, API Gateway, Lambda, DynamoDB) Databases: SQL (Postgres or similar) Data Formats: JSON, XML Data Handling: Advanced Excel for analysis and manipulation Excellent communication skills and confidence in customer More ❯

with Terraform Experience with CI/CD & Jenkins Experience with Prometheus or Grafana. Strong understanding of SQL Linux administration and shell scripting experience Experience working with AWS EC2, RDS & S3 **Please only apply if you currently hold active DV clearance or are eligible to obtain DV clearance. More ❯

with Terraform Experience with CI/CD & Jenkins Experience with Prometheus or Grafana. Strong understanding of SQL Linux administration and shell scripting experience Experience working with AWS EC2, RDS & S3 **Please only apply if you currently hold active DV clearance or are eligible to obtain DV clearance. JBRP1_UKTJ More ❯

frameworks) Creating and consuming RESTful APIs Managing code with Git and using Docker/CI/CD for deployments Working within Linux environments and leveraging AWS services (EC2, ECS, S3, Lambda, etc.) Collaborating with clients, clearly communicating progress and technical concepts Mentoring junior developers and supporting knowledge sharing across the team Skills & Experience We're Looking For Strong commercial More ❯

PHP server-side rendering (Laravel Blade), Vue.js, Bootstrap, JavaScript Databases: MySQL (RDS), MSSQL Redis (ElasticCache) Heavy data compliance: audit logging, long-term data retention Infrastructure & DevOps: AWS (EC2, RDS, S3, WAF, ELB, Lambda, CloudFront, SNS, CloudWatch) Manual deployments (in transition to CI/CD) OpenVPN, DirectConnect, VPC routing (split/full tunnel VPNs) Desktop Apps: Electron (Node.js backend + More ❯

that is active and transferrable. RedHat Linux 6 or 7 (Certification is not required) Experience with shell scripting in a Linux/UNIX environment Familiarity with AWS services (EC2, S3, CloudWatch, etc.) Knowledge of Kubernetes and Terraform Experience with storage systems, including working with server disks, file systems, volume management software (e.g., LVM), and understanding various RAID levels Hands More ❯

and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data … AWS: Staying up-to-date with the latest AWS services and technologies to improve data engineering solutions. Key Skills: AWS Services: Strong understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying More ❯

deliver practical, scalable solutions that make a real impact. Key Responsibilities Design, build, and maintain robust, scalable ETL/ELT pipelines using tools such as Airflow and AWS services (S3, Redshift, Glue, Lambda, Athena). Integrate new data sources and continuously optimise performance and cost efficiency. Ensure data quality, integrity, and security across all systems. Maintain clear documentation for … pipelines, resolving issues efficiently. Stay up to date with new tools and trends in data engineering, particularly within the AWS ecosystem. Skills & Experience Strong hands-on experience with AWS (S3, Redshift, Glue, Lambda, Athena). Skilled in Airflow for workflow orchestration. Advanced SQL and proficient in Python for data engineering. Experience with data modelling (e.g. dimensional) and familiarity with More ❯