Senior Software Engineer

Summary:

This role involves working within a high-performing, globally distributed Agile team to build, operate, and evolve low latency, high throughput services that power real-time fraud decisioning on the companies Fraud Platform.

Responsibilities:

• Develop and maintain CI/CD pipelines to enable reliable, repeatable deployments.
• Deploy, operate, and troubleshoot services across hybrid environments, including AWS (EKS/Kubernetes), on-premise cloud platforms, and traditional on-premise infrastructure, ensuring consistency, reliability, and scalability across all environments.
• Work closely with platform teams to improve environment stability, scalability, and developer experience.
• Contribute to improving reliability and observability, aligning with SRE best practices.
• Work as part of a co-located Agile Scrum team.
• Work closely with Product Owners, Business Analyst, Systems Analyst, Technical leads and other developers to define user stories.
• Develop high-quality, scalable and secure software solutions.
• Assist with operational issues by troubleshooting incidents.
• Research alternative technical solutions to meet changing business needs.
• Work with project team to meet due dates, while working through emerging issues and recommending solutions.
• Produce design documentation in accordance with companies documentation standards.

Requirements:

• 5 years of experience in relevant roles.
• Experience with cloud platforms (AWS, Azure).
• Experience with containerization (Docker) and image lifecycle management.
• Experience with Infrastructure as Code (IaC) concepts and tools (e.g., Terraform, CloudFormation or similar).
• Strong troubleshooting skills in Linux-based production environments.
• Awareness of SRE principles and reliability practices.
• Passionate about Agile software development and working with SAFe or Scrum.

Required Skills:

• CI/CD and deployment automation — highest priority.
• Observability with Prometheus/OpenTelemetry/Dynatrace.
• Cloud/container/platform engineering.

Preferred Skills:

• Experience of building CI/CD pipelines using tools such as Jenkins, Github Actions, Python, and shell scripting.
• Ability to design and maintain end-to-end deployment pipelines (build, test, deploy, rollback).
• Hands-on experience with monitoring, logging, and alerting tools (e.g., Splunk, Dynatrace, OpenTelemetry).
• Experience with build tools (Maven/Gradle) and dependency management.
• Exposure to configuration management and automation tools (Chef or equivalent).
• Understanding of platform engineering principles, including building reusable deployment templates and shared services.
• Experience supporting multi-environment setups (dev, test, staging, production) with proper isolation and governance.
• Experience developing and integrating AI-driven workflows and automation for use cases such as incident analysis, anomaly detection, and intelligent observability or CI/CD enhancements.

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