Offer summary

Qualifications:

Bachelor's degree or equivalent certification required., Minimum of 2 years experience in incident management and troubleshooting., Proficiency in Python scripting and experience with public cloud environments (AWS, Azure, or GCP)., Familiarity with monitoring tools such as Splunk, New Relic, or DataDog is essential..

Key responsabilities:

Manage and troubleshoot complex production incidents with varying impacts.

Drive incident resolution using systematic problem-solving techniques.

Monitor applications and infrastructure for performance, availability, and capacity.

Develop and implement automated monitoring and alerting solutions to enhance system reliability.

Job description

Kunai builds full-stack 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 tech-agnostic and human-centered.

Production Support and Site Reliability Engineering (SRE) is an engineering discipline that combines software and systems engineering to manage and support large-scale, massively distributed, fault-tolerant systems hosted in the external cloud environment. SRE engineers ensure that systems—both internally critical and externally-visible —have reliability and uptime appropriate to customers’ needs and a fast rate of improvement while keeping an ever-watchful eye on availability, capacity, and performance in a 24/7 environment.

Production Support/SRE engineers will be engaged in automation and development work, reducing toil, developing self -service capabilities, automating manual tasks, and develop support tools, utilizing common scripting languages (i.e. Python). When incidents arise, our production support engineers take charge of incident management. They assume ownership, collaborate, consult, and partner with Lines of Business to guide the team to a successful resolution.

Job Responsibilities:

Effectively manage troubleshooting and recovery of complex production incidents, ranging from low to critical impacts
Drive incident resolution through a systematic problem solving approach, coupled with a strong sense of ownership and drive
Actively participate in teams’ Agile stories (project work) to streamline and enhance day to day operations of the team
Create, manage, and utilize appropriate technical procedural documentation (run books)
Proactively monitor applications and infrastructure behind external and internal customer facing services including their availability, latency, performance, and capacity
Influence resiliency and scalability in production environments in Amazon Web Services (AWS)
Identify opportunities and develop proactive automated monitoring and alerting solutions by leveraging available tools (Splunk, New Relic, etc.)
Assist with conducting Root Cause Analysis (RCA) on critical production outages to develop and implement future mitigation strategies
Utilize production support expertise to influence and support new designs, architectures, standards, and methods to maintain stability and availability for large-scale distributed systems
Proactively identify and implement automations for routine maintenance tasks, data gathering, and resolution of common issues
Continuously seek to develop new skills and technical expertise, and proactively share knowledge with others

Basic Qualifications:

Bachelors or equivalent certification
At least 2 years of experience managing and troubleshooting incident bridge calls
At least 2 years of experience with Python scripting
At least 2 years of experience using and supporting public cloud environments (AWS, Azure, or GCP)
At least 2 years of experience with Splunk, New Relic, or DataDog monitoring

Preferred Qualifications:

AWS Associate level certification (Solutions Architect, SysOps Administrator, or Developer)
2+ years of experience with Linux, UNIX, Ruby, Go, JavaScript, or NoSQL
3+ years of experience using and supporting public cloud environments (AWS, Azure, or GCP)
2+ years of experience with networks, load balancers, firewalls and web application firewall (WAF)
2+ years experience with web API service

This is a mostly remote role that requires you to work 40 hours per week during nights and weekends. The coverage schedule you will be supporting will happen during the following times: Monday - Friday, 22:30 to 6:30 eastern standard time. Saturday and Sunday, flexible within the 24 hours. On-call support is highly unlikely.

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.

Required profile