Job Category: Software
Job Type: Full Time
Job Location: Chelmsford MA Remote

About Sway AI

Sway AI is a venture-backed start-up in the Boston area. It was founded by proven entrepreneurs who have built several successful companies. Enterprise AI is a trillion-dollar business, however, 85% of AI projects fail. There are still high barriers to entry that make it hard for enterprises to use AI without large data science teams and multi-million-dollar budgets. Sway AI believes that “there’s a better way to do AI” by helping enterprises build without expensive upfront investments in AI tools or skillsets.

Sway AI is seeking motivated DevOps engineer who is passionate about innovation, quality, and technology; people with high attention to detail and edge-case analytical thinking. Join an experienced and talented group of entrepreneurs, scientists, and engineers with a groundbreaking idea to re-architect how AI applications are built and deployed.

Basic Qualifications

  • Bachelor’s or Master’s in Computer Science or equivalent practical experience
  • 4+ years of operational experience in managing web or cloud-based services
  • 3+ years of experience in managing any public cloud (AWS, Azure, and Google cloud)
  • Strong understanding of CI/CD Processes, and experience with tools like Jenkins, GitHub
  • Understanding of container technologies and orchestrators like Docker & Kubernetes
  • Understanding of different build tools and package managers for different programing languages, e.g., Mvn, Gradle, Npm, pip
  • Developer oriented mindset with ability to design automations to solve problems and create solutions – Proficient in scripting languages such as Python, Groovy, Shell, and/or similar languages
  • Ability to understand the complete development flow and make recommendations on changes or improvements to the development teams: Testing Stages, Coverage Reports, Quality Gates, Security Scans, Environment Promotions
  • Understanding different components of an application Database/Mid-tier/Messaging/User-Interface/Configuration
  • Experience with core AWS Services and ability to build automated processes using SDK or CLI

Preferred Qualifications

  • Experience with Terraform, Chef, Puppet, Salt, or Ansible in production environments
  • Experience with monitoring and log aggregating frameworks such as Kafka, Logstash, Splunk, ElastiSearch, and Kibana
  • Experience implementing and designing cloud native security concepts, DevSecOps or MLOps
  • AWS Certification(s) such as Solutions Architect Pro, DevOps Engineer Pro, SysOps Admin, Developer Associate
  • Strong presentation, verbal communication, and written communications skills

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