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 company's 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.
• Collaborate with Product Owners, Business Analysts, Systems Analysts, 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 the project team to meet due dates while working through emerging issues and recommending solutions.
• Produce design documentation in accordance with company's documentation standards.

Requirements:

• 5 years of experience in a similar role.
• Experience building CI/CD pipelines using tools like Jenkins, GitHub Actions, Python, and shell scripting.
• Hands-on experience with monitoring, logging, and alerting tools (e.g., Splunk, Dynatrace, OpenTelemetry).
• Experience with cloud platforms (AWS, Azure) and containerization (Docker).
• 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.
• Strong troubleshooting skills in Linux-based production environments.
• Awareness of SRE principles and reliability practices.
• 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.

Required Skills:

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

Preferred Skills:

• Experience with build tools (Maven/Gradle) and dependency management.
• Exposure to configuration management and automation tools (Chef or equivalent).
• Experience with Infrastructure as Code (IaC) concepts and tools (e.g., Terraform, CloudFormation or similar).
• Passionate about Agile software development and working with SAFe or Scrum.

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