16 of 16 DemandTrendPermanent Amazon S3 Jobs in the North West

with microservices , event-driven architecture , and cloud-native development . Strong understanding of SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis). Proficient in AWS cloud services especially Lambda, SQS, S3, Cognito, API Gateway, EventBridge, etc. Hands-on experience with DevOps practices (CI/CD pipelines, Docker, GitHub Actions). Familiarity with frontend tooling such as Vite, ESLint, CSS-in More ❯

and helping us prevent problems before they happen What we’re looking for Solid background in DevOps, SRE, or Platform Engineering Strong AWS experience (VPC, EC2, ECS/EKS, S3, RDS, IAM, Route53) Good knowledge of Terraform and automation tools Hands-on with containers and orchestration (Docker, ECS/EKS, Helm) Experience with CI/CD pipelines (GitHub Actions More ❯

is preferrable Solid understanding of networking protocols and concepts (TCP/IP, DNS, SSL/TLS, routing, etc.). Proficient with AWS services including EC2, ELB, VPC, IAM, CloudWatch, S3,VPC Lattice, Transit Gateway, VPN and more. Practical knowledge of DevOps tools: Git, Jenkins, Docker, Ansible, Terraform. Strong scripting skills (Bash, Python, or equivalent). Experience in managing production More ❯

thrives in fast-paced environments and delivers under pressure. Nice-to-Have Extras Experience with C#/.NET and scalable system design. Knowledge of other AWS services (API Gateway, S3, DynamoDB, CloudWatch). Exposure to CI/CD pipelines, DevOps, and cloud infrastructure tools (Terraform, AWS CDK). Culture Fit Growth mindset : You’re always learning and exploring new More ❯

and colleagues in an agile environment. Skills and Experience Required: 4+ years of proven experience developing in Python (full stack additionally). Hands-on AWS experience (e.g. Lambda, EC2, S3, etc.). Knowledge of CI/CD, testing practices, and agile delivery methods. Experience working in a consulting or client-facing role is desirable but not essential. Be part More ❯

and colleagues in an agile environment. Skills and Experience Required: 4+ years of proven experience developing in Python (full stack additionally). Hands-on AWS experience (e.g. Lambda, EC2, S3, etc.). Knowledge of CI/CD, testing practices, and agile delivery methods. Experience working in a consulting or client-facing role is desirable but not essential. Be part More ❯

and colleagues in an agile environment. Skills and Experience Required: 4+ years of proven experience developing in Python (full stack additionally). Hands-on AWS experience (e.g. Lambda, EC2, S3, etc.). Knowledge of CI/CD, testing practices, and agile delivery methods. Experience working in a consulting or client-facing role is desirable but not essential. Be part More ❯

systems. Typical responsibilities will include: Supporting and managing RedHat Linux systems (v6 & v7) Automating via Shell scripting in Linux/UNIX environments Working with AWS services such as EC2, S3, and CloudWatch Managing infrastructure using tools like Kubernetes and Terraform Administering storage (LVM, RAID) and working with Dell server hardware (BIOS, iDRACs, cabling) WHAT YOU NEED TO HAVE To More ❯

or infrastructure engineering across Linux and Windows Commercial experience with IaC tools (Terraform/Ansible) Hands-on experience with Kubernetes and Docker in production Strong AWS engineering knowledge (EC2, S3, IAM, VPCs, networking) Familiarity with VMware stack (vSphere, NSX, VCF) is a bonus Excellent scripting and automation skills Clear understanding of cloud security and compliance best practices Confident communicator More ❯

team members as needed. Profile The successful Senior Data Engineer should have: A strong background in data engineering or related fields. Strong experience with thefollowing AWS services: DynamoDB Glue S3 Athena Proven experience working with data lakes and large-scale data processing Excellent communication and data storytelling skills Job Offer The successful Senior Data Engineer will be able to More ❯

team members as needed. Profile The successful Senior Data Engineer should have: A strong background in data engineering or related fields. Strong experience with thefollowing AWS services: DynamoDB Glue S3 Athena Proven experience working with data lakes and large-scale data processing Excellent communication and data storytelling skills Job Offer The successful Senior Data Engineer will be able to More ❯

/PySpark + additional languages for data processing Strong SQL with experience across both relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra) Hands-on knowledge of AWS S3 and associated big data services Extensive experience with big data technologies including Hadoop and Spark for large-scale dataset processing Deep understanding of data security frameworks, encryption protocols, access More ❯

TLS/SSL) and encryption standards (e.g., AES-256). Cloud and Deployment : Proficiency with Amazon Web Services (AWS) for cloud hosting, scaling, and deployment (e.g., EC2, S3, Lambda). Alternatively, experience with Replit for collaborative development and deployment. Familiarity with Vercel for deployment and CI/CD pipelines. Version Control : Expertise with Git and GitHub for More ❯

with a desire to complete certification will be considered Hands-on experience with Amazon Web Services (AWS), including but not limited to core IaaS (IAM, VPC, EC2, S3, EBS, ELB) and native AWS PaaS Services (Lambda, AWS Config, EMR, Athena, EKS, etc.) Hands-on experience with Azure public cloud, including core (compute, storage, networking) platform, PaaS and More ❯

Experience architecting and implementing microservices . Solid knowledge of Docker and orchestration tools such as Kubernetes (EKS preferred) . Strong understanding of AWS cloud services (ECS/EKS, RDS, S3, etc.). Experience with API design, distributed systems, and high-availability architectures. Familiarity with CI/CD tools and DevOps practices. Proficient in database administration for MySQL and Redis … EKS preferred) Ideally proficient with containerisation (Docker) and orchestration (Kubernetes). Experience running apps in AWS EKS is a plus. AWS ecosystem knowledge Experience with AWS services (especially RDS, S3, EKS, EC2, ALB) in production. High-availability and distributed systems ideally understand designing for scale, including load balancing, caching (Redis), database optimisation (MySQL), and resilience in distributed environments. Minimum More ❯

hands-on engineering with the opportunity to shape the future of data infrastructure at scale. Key Responsibilities: Build and optimise data pipelines and ETL processes using AWS Glue, Lambda, S3 and Redshift Support the migration from SQL Server to AWS, implementing best practices throughout Maintain data quality and integrity through validation processes and monitoring Contribute to the development of … and mentorship to junior engineers Keep up-to-date with emerging data technologies and apply them where relevant The Skill Requirements: Hands-on experience with AWS services (Glue, Lambda, S3, Redshift, EMR) Strong skills in Python, SQL, PySpark and pipeline orchestration Proven understanding of data warehousing and data lakehouse concepts Excellent problem-solving skills with the ability to resolve More ❯