Software Engineer - Python

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.

Join a high-impact engineering team at the forefront of one of the most advanced data-driven decision systems in the banking industry. You’ll play a pivotal role in shaping real-time customer experiences and powering the backend services that assess creditworthiness and deliver instant decisions on new credit card products. 

You’ll work on a high-volume platform capable of scaling to over 30,000 transactions per second, designed to connect attributes and data across multiple platforms and systems enterprise-wide. This is a rare opportunity to contribute to a cloud-native, real-time, and data-intensive platform that is central to the client’s long-term strategy.

Responsibilities:

• Build and support scalable services on AWS to power real-time credit decisioning systems
• Integrate data across various enterprise platforms to enable accurate, lightning-fast responses
• Collaborate with cross-functional teams on platform enhancements, feature rollouts, and CI/CD automation
• Write clean, efficient code primarily in Python, and contribute to infrastructure and deployment workflows
• Drive forward best practices in DevOps, observability, and performance optimization
• Work within a fast-paced, high-visibility surge team delivering key milestones for a major financial merger

Required Skills:

• Strong hands-on experience in Python
• AWS Cloud expertise across Compute, Storage, Databases, Serverless, and Data Processing services
• Familiarity with DevOps tools and CI/CD pipelines
• Experience building or maintaining high-scale, fault-tolerant systems

Preferred / Nice to Have:

• Experience with Spark or Kafka for real-time data streaming
• Familiarity with BBD tools and frameworks (Cucumber)
• Familiarity with Golang, AWS Glue, or GraphQL
• Hybrid software/data engineering background (e.g., building data-intensive applications)

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.