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