best practices. We strive to maintain a DevSecOps culture, empowering development while promoting security and reliability. You'll work directly with, but not limited to, the following technologies: AWS (EC2, RDS, VPC networking, S3, Network Firewall, EKS etc.), Docker, Kubernetes, Terraform, Jenkins, Ansible, GitHub, Slack, Python About the Role You aren't just good at writing code or running … practices across the organization using Rapid7 products and automated tooling. The skills you'll bring include: Proven experience working with SaaS services and infrastructure Proficient in AWS services, including EC2, EKS or ECS, IAM, VPC networking, S3. Networking and linux system administration skills Comfortable with one or more of the following languages: Python, Ruby, Javascript, Java, Bash Working knowledge More ❯
the company's CI procedures and deployment processes Using Terraform and/or CloudFormation for Infrastructure as Code Working with MySQL databases (Aurora) and other AWS services such as EC2, RDS, Lambda, ElastiCache, and DocumentDB The Person You have proven experience as a Cloud, DevOps, or Platform Engineer, ideally in a scaling or high-growth environment Deep hands-on … expertise with AWS (e.g. EC2, RDS, EKS, Lambda, CloudWatch, SecretsManager, ElastiCache, DocumentDB), with experience designing secure and reliable cloud architectures. Solid understanding of Kubernetes (EKS preferred) and container orchestration Strong scripting skills - you're confident automating processes in Bash, Groovy, or similar Proficient in building and managing robust CI/CD pipelines You're passionate about platform security, observability More ❯
processing sensitive data. Learn to build with security in mind. Make your mark on ambitious projects. Our tech stack includes: NodeJS and TypeScript for backend development AWS Lambda, ECS, EC2, CloudWatch High volume NoSQL and SQL databases such as Dynamo DB, Postgres Terraform built environments Services built with .NET DevOps tools and methodologies such as: CircleCI pipelines management Docker More ❯
of the SDLC process Familiarity with configuration management tools (Ansible, Puppet) Infrastructure as Code (Terraform) Experience with container technologies (Docker or Podman) Experience with AWS services (VPC, Security Group, EC2, Route53, IAM, S3, AWS CLI) Familiarity with Continuous Integration Pipelines (GitLab CI, Travis CI, etc.) Proficiency in one or more scripting languages (Shell, Python, Ruby, etc.) Experience with Source More ❯
of image processing workflows, deep learning pipelines, and model evaluation. Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. What you'll be doing: Research and develop solutions to complex business problems, working with large, unstructured datasets. More ❯
and collaborate across disciplines. Experience and skills we'd love: Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO More ❯
