Coconut Software is the leading Branch Performance Platform, helping financial institutions grow, drive productivity, and deliver better customer experiences. Coconut's AI-powered, enterprise-grade platform brings together appointment scheduling, in-branch queuing, video banking, and branch workforce management, turning customer interaction and operational data into actionable insights across multiple lines of business. The result: greater visibility into performance, better use of workforce capacity, and smarter decisions that drive stronger branch outcomes.Trusted by 200+ banks and credit unions, including RBC, Mountain America Credit Union, and M&T Bank, Coconut Software turns every interaction and staffing decision into a competitive advantage.

Intermediate DevOps Engineers at Coconut Software contribute to infrastructure and reliability initiatives by working closely with senior team members and cross-functional partners. In joining our team, the Intermediate DevOps Engineer will be an integral part of site reliability at Coconut. They will support efforts to improve infrastructure, reliability, and CI/CD practices while gaining experience in cloud and automation tools. As Engineering adopts AI more deeply, you’ll also help stand up and run the infrastructure behind those initiatives. Security is at the heart of our culture and the Intermediate DevOps Engineer will document and practice the highest security standards. This role is ideal for someone eager to take initiative, grow their skills, and contribute to key infrastructure projects.

We don’t expect people to fit into neat little boxes. We are looking for curious and empathetic people who are driven by a need for continuous learning and growth. We are excited to continue to scale on our path to success by building a diverse and inclusive team.

[Note: On Call] We strive to provide service excellence in all areas, as such, roles in our Engineering department are expected to contribute to our collaborative on-call rotation, working with your team to support our systems and ensuring application availability/reliability. Each team will have their own rotation schedule.

YOU’RE FIRED UP TO

• Work within a team of like-minded professionals to plan, deploy, and maintain critical business applications
• Learn from and collaborate with senior engineers while contributing to shared team goals
• Assist in maintaining our Kubernetes cluster and contribute to improvements under guidance
• Support reliability projects by owning scoped tasks and collaborating with senior engineers
• Support implementation of continuous deployment through cloud solutions
• Understand how IT operations are managed, identify recurring issues, and work with IT & Business partners to remediate using the problem management process
• Utilize various open source technologies
• Use orchestration tools to support scalable, reliable infrastructure - Help build and operate the infrastructure behind Engineering’s AI initiatives, including AWS AI services such as Amazon Bedrock and supporting infrastructure for AI/LLM workloads, as those needs take shape
• Write automation and tooling in Python, Bash, or similar, using AI tools where they help you move faster without compromising quality
• Assist in configuring and managing databases like MySQL
• Improve our CI/CD pipelines and deployment processes so engineering teams can ship safely and efficiently
• Strengthen monitoring, alerting, and observability so we understand system health and customer impact
• Collaborate across teams in shared source code repositories
• Participate in a shared on-call rotation to support production systems and respond to incidents
• Be part of how we’re evolving the way we work with AI across Engineering, staying curious about the technology and eager to adopt, learn, and use it to solve customer and business problems

WHAT YOU BRING TO THE TEAM

• Bachelor’s Degree or equivalent experience required 
• Strong problem-solving and communication skills, with the ability to think critically and collaborate effectively
• Solid understanding of DevOps fundamentals and eagerness to grow expertise
• 2–4 years of professional experience in DevOps, Site Reliability, or Infrastructure roles
• Hands on experience with:
• Kubernetes or other orchestration tools
• Cloud infrastructure concepts
• CI/CD pipelines
• Managing cloud resources with Terraform
• Basic knowledge of working with Terraform modules and workspaces
• Experience using monitoring and alerting tools (e.g., Datadog, Prometheus, Grafana, CloudWatch) to detect issues, analyze system health, and contribute to incident response
• Comfortable with JIRA or similar tools for task management and sprint planning
• Foundational knowledge of Linux/Unix administration with a desire to grow deeper expertise 
• Ability to use a wide variety of open source technologies and cloud services to improve the continuous deployment process
• A good understanding of code and script (e.g. Go, Python, Shell) 
• Familiarity with networking basics such as DNS, IP addressing, and ACLs
• MySQL and Redis management
• A curiosity for innovation: We're looking for someone who loves to learn and elevate their skills with new technology, particularly AI and large language models (LLMs)
  • You should have a foundational understanding of how these tools work and a strong desire to explore how they can be used to solve business and customer problems
  • We value continuous learning and our ideal candidate has a proven track record of innovating and pushing the boundaries of what's possible
  • Hands-on use of AI coding agents for infrastructure-as-code, scripting, or troubleshooting
• General banking/financial institutions experience or knowledge would be an asset

This posting is for a vacant full-time permanent position. The expected hiring range for this role is $105,000 - $130,000.

The base salary for this position is listed to support candidates to align themselves within the target range. The range is grounded in comprehensive analysis of national compensation data for similar roles and company sizes in the technology sector, alongside a review of our internal compensation framework to ensure pay equity across the company. Note that ranges may evolve over time.  We aim to provide a fair offer and hire within this specified range. The final offer for this position will take a candidate's background, experience, skills, and internal equity into consideration. Top performers’ compensation will be reviewed annually, as part of our Performance Acceleration program (Performance Reviews, Compensation Reviews, etc.).