Kunai builds fullstack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining techagnostic and humancentered.
Were assembling a highimpact engineering team to enhance our clients contact center platform—specifically modernizing their Amazon Connect environment and launching observability tracing capabilities across a complex infrastructure. This project will significantly improve call center platform reliability, customer experience, and operational visibility.
The team will consist of:
2 Senior Engineers with strong cloudnative, DevOps, and observability experience
1 Architect Lead who can drive architectural decisions, meet with stakeholders, and ensure delivery excellence
Design, implement, and maintain scalable infrastructure to support Amazon Connect and Contact Lens
Improve reliability and performance of largescale Kubernetesbased environments
Deploy and tune observability solutions to ensure full tracing across services
Implement SRE best practices (SLIsSLOs, incident response, runbooks)
Write automation scripts and integrations (Python or TypeScript)
Collaborate with crossfunctional teams, including platform, security, and customer service ops
Provide technical leadership and architectural guidance across the project
Serve as the main interface with internal leadership and stakeholders
Define and drive roadmap for observability and reliability improvements
Mentor engineers and ensure project milestones are achieved
Lead incident response retrospectives and foster a culture of continuous improvement
We’re hiring holistically across the following skill sets. Individual candidates do not need all of them—team composition will be designed to balance these needs:
Experience with Amazon Connect and Contact Lens (or similar cloud call center platforms)
Familiarity with observability tooling: DataDog, Dynatrace, New Relic, Splunk, or opensource stacks
Experience implementing distributed tracing and monitoring pipelines
Strong Kubernetes experience in production environments (GKE, EKS, or similar)
Experience in DevOps tooling, automation, and deployment pipelines
SRE mindset: SLAsSLOs, reliability engineering, and infrastructure scaling
Oncallincident management history is a plus
Solid scripting in Python or TypeScript
Experience with Infrastructure as Code (Terraform, Helm)
Prior experience working with largescale FinTech companies
Experience integrating call center metrics into customer analytics platforms
Familiarity with voice and conversational AI analytics
Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning.
We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry.
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