8 of 8 Remote Contract Amazon S3 Jobs

experience in Zscaler Solid understanding of networking protocols and concepts (TCP/IP, DNS, SSL/TLS, routing). Proficiency with AWS services including EC2, ELB, VPC, IAM, CloudWatch, S3,VPC Lattice, Transit Gateway and VPN. Practical knowledge of DevOps tools: Git, Jenkins, Docker, Ansible, Terraform. Strong scripting skills (Bash, Python, or equivalent). Public Sector/Central Government More ❯

Mentoring junior engineers and contributing to a strong engineering culture Working with a modern, cloud-native stack Tech Stack Languages: JavaScript, Node.js Databases: SQL, PostgreSQL, BigQuery Cloud: AWS (Lambda, S3, Kinesis, RDS, Step Functions, AppFlow) DevOps: Serverless, Heroku, GitHub, CircleCI Monitoring: Graphite, Grafana, Splunk Bonus: Experience in marketing tech or AI What We're Looking For Strong full stack More ❯

and a good understanding of data modelling approaches (e.g. star schema, dimensional modelling) Familiarity with Airflow or similar orchestration tools Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure Experience using version control and CI/CD tools like Git and GitHub Actions Confident working independently and taking ownership of problems and solutions Comfortable More ❯

pipelines within an AWS environment. Key Skills & Experience Required: Proven background as an AWS DevOps Engineer in commercial environments Strong expertise in AWS core services including EC2, ECS, EKS, S3, IAM, Lambda, CloudFormation, CloudWatch, RDS, Route 53, and VPCs Solid experience with Kubernetes and containerisation using Docker and Amazon EKS Infrastructure as Code (IaC) using Terraform and More ❯

experience with SQL-based and NoSQL (Document-based) databases. Deep understanding of AWS services and cloud environments. Familiarity with AWS Cloud Development Kit (CDK)and services like Lambda, SQS, S3, Cognito, EventBridge, and more. Experience with DevOps practices, including CI/CD pipelines, Docker, and GitHub Actions. Strong knowledge of security best practices for APIs and data privacy. Proficiency … to diverse audiences. Detail-oriented with a commitment to delivering high-quality, reliable work. Client Tech Stack: Languages : Node.js, TypeScript, React Databases : PostgreSQL, DynamoDB, Redis AWS Services : Lambda, SQS, S3, Cognito, EventBridge, CloudFormation, Fargate, SES, CodeBuild, CodePipeline, CloudFront, API Gateway, and more. What happens next? One of our Recruitment Consultants will be in touch and inform you if youve More ❯

delivery pipelines. Essential Skills & Experience: 10+ years of hands-on DevOps experience with a focus on AWS cloud platforms Strong proficiency with AWS services (EC2, ECS, RDS, ELB, EFS, S3, IAM, CloudWatch, KMS, SSM, HSM) In-depth experience with AWS networking (VPC, Route53, NACLs, Transit Gateways, VIFs) Expertise in Terraform , Jenkins , Git , Ansible , and CI/CD pipelines Experience … with container technologies (Docker, Amazon Linux 2023 AMI) Exposure to OpenLDAP , Nginx , Squid proxy with mTLS , and Postfix/Dovecot mail server configuration Familiarity with system monitoring, logging, and alerting tools Strong scripting skills (Shell, Python, PowerShell) Experience in incident/change management using ServiceNow Proven ability to analyse and resolve complex infrastructure and application issues To hear More ❯

version control, continuous integration best practices, and job schedulers (AutoSys preferred). Knowledge of TCP/IP, load balancing, firewalls, and cloud services (e.g., Amazon EC2/S3, OpenStack). Exposure to APM tools like AppDynamics/DynaTrace/Splunk, as well as SDLC automation tools like Jenkins. Experience with product and service vendors, and the onshore More ❯

user satisfaction, and a dashboard for senior leaders to surface these metrics and use them to inform collective decision-making. We've already built an MVP dashboard in Amazon QuickSight, now in active use. We're now rebuilding it using a flexible, code-first approach and using this team as a testbed for smarter digital delivery, applying product … and a good understanding of data modelling approaches (e.g. star schema, dimensional modelling) Familiarity with Airflow or similar orchestration tools Comfortable working with AWS services such as Glue and S3, or equivalent cloud infrastructure Experience using version control and CI/CD tools like Git and GitHub Actions Confident working independently and taking ownership of problems and solutions Comfortable More ❯