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Home/Remote Engineering Jobs/Acquia/Senior Software Engineer (Golang + Kubernetes)
Acquia

Senior Software Engineer (Golang + Kubernetes)

Acquia

Remote — CanadaFull-timePosted about 22 hours ago
Software DevelopmentDevOps & Infrastructure

Summary

Acquia is hiring a Senior Software Engineer (Golang + Kubernetes) to join their Software Development team. Senior Software Engineer (Golang + Kubernetes) Job Description Acquia is an open-source digital experience company. Key skills: Python, Go, AWS, GCP, Docker.

Senior Software Engineer (Golang + Kubernetes)

Job Description

Acquia is an open-source digital experience company. We provide the world's most ambitious brands with technology that allows them to embrace innovation and create customer moments that matter. At Acquia, we believe in the power of community and collaboration - giving our customers the freedom to build tomorrow on their terms.

Headquartered in Boston, we have been named as one of North America’s fastest growing software companies, as reported by Deloitte and Inc. Magazine. We have been rated a leader by the analyst community and named one of the Best Places to Work by the Boston Business Journal. We are Acquia. We are building for the future of the web, and we want you to be a part of it.

Acquia is seeking a Senior Software Engineer with Golang, DevOps CI/CD and Kubernetes expertise who can help lead our efforts for developing, maintaining, monitoring and securing our Platform.  As a Senior Engineer, you will be working on DevOps Continuous Integration and Delivery for a wide range of core services, tooling, and automation. You will also be given the opportunity to help refactor and integrate existing architecture for greater automation. 

As the Senior Software Engineer, you will…

  • work in an AI Agentic team, and be able to take over scrum master role, to develop and maintain our new CI/CD pipeline which will be used by multiple products and services at Acquia.
  • utilize your experience in object oriented programming to build and integrate solutions for automation of tasks.
  • help onboard our services, products and components and revolutionize the way we build, test, operate and monitor our cloud-based products and services.
  • maintain an understanding of system functionality and architecture, with a strong focus on the operational aspects of the service (availability, performance, change management, emergency response, capacity planning, etc)
  • collaborate with your team members to review their work and have your work reviewed in turn.
  • work with other teams in deciding, developing integrations with other systems.
  • provide product support to internal and external stakeholders.
  • work in a team environment where your team owns and operates the services you build.

You’ll enjoy this role if you…

  • like solving complex challenges for scalable, low latency systems
  • enjoy creating solutions for a Cloud native environment
  • enjoy collaborating with multiple stakeholders
  • have a passion for DevOps and related automation

What you’ll need to be successful…

  • BTech/BE/BS in computer science or similar
  • have been involved in building and operating a DevOps CI/CD Pipeline
  • have done object oriented programming in a language like Golang and Python
  • proficient with container based products like Docker and Kubernetes. 
  • 5+ years of DevOps and/or build, release & rollback experience including delivery to production
  • have deep understanding of version control systems (Git, etc.), including branching and merging strategies
  • 3-5 years managing monitor and report systems, and building observability dashboards on application and server performance and scalability issues (examples: SignalFX, Grafana, or other operations monitoring tools); centralized logging experience with Sumologic or similar products
  • understanding of security best practices
  • experience with continuous delivery and integration tools: Jenkins, Github, Artifactory
  • experience writing build automation using object oriented language like Python, Go + Terraform + Unix Shell (bash, ksh)
  • experience with automation/configuration management using Puppet
  • developed code for extensive test coverage, performed continuous deployment in a professional software engineering environment
  • knowledge of AWS/GCP products like EC2 or EKS/ECS
  • ability to be part of our on call rotation after work hours as needed for emergency or urgent situations

Extra credit if you…

  • have excellent communication skills (verbal and written)
  • are able to work in a team and be a team player
  • have knowledge of Drupal, MySQL, Apache and other open source software

We are an organization that embraces innovation and the potential of AI to enhance our processes and improve our work. We are always looking for individuals who are open to learning new technologies and collaborating with AI tools to achieve our goals.

Acquia is proud to provide best-in-class benefits to help our employees and their families maintain a healthy body and mind. Core Benefits include: competitive healthcare coverage, wellness programs, take it when you need it time off, parental leave, recognition programs, and much more! 

Acquia is an equal opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veterans status or any other protected status or characteristic under federal, state or local law unrelated to the ability to perform the job.

We are seeking an AI-Native candidate who treats AI not as an external tool, but as a fundamental extension of their cognitive workflow. The ideal candidate possesses an orchestration mindset—the ability to skillfully prompt, manage, and direct AI to navigate complexity—and maintains a high degree of AI fluency.

You should be characterized by radical adaptability and a "builder" mentality, showing a restless drive to transform traditional work processes into agentic workflows. Beyond technical proficiency, we value intellectual humility: the willingness to constantly unlearn old methods in favor of more efficient, AI-augmented processes. You don't just use AI to do your job; you use it to redefine what your job can achieve.

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