Sr. Software Development Engineer - Identity Services

Requirements

• 8+ years industry experience
• Excellent knowledge of web standards and technologies (HTML, CSS, Javascript, HTTP)
• Proficient in developing Java/Spring web services based on cloud services (ex. AWS)
• Object-oriented build principles and build patterns, algorithmic and logical skills
• Solid foundation in software engineering process: unit testing, build automation, continuous integration, etc.
• Experience with DevOps tools: CI/CD pipelines (Jenkins, GitHub Actions), containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation)
• Familiarity with AI/ML concepts, including working with LLMs, timely crafting of inputs, and integrating AI-powered features into production applications
• Passionate about computer science, developing software and internet applications
• Enjoys technical challenges and is capable of proposing and evaluating a solution against requirements
• Good written and verbal communication skills

Nice to Haves

• Knowledge of React
• Full stack development
• Hands-on experience with generative AI, LLM APIs (e.g., OpenAI, Anthropic)
• Experience with Kubernetes orchestration, service mesh, and cloud-native monitoring tools (NewRelic, Prometheus, Grafana)
• Experience with security features such as anomaly detection, fraud prevention, or intelligent authentication

What you'll be doing

• Build & implement new features and performance improvements, while keeping a strong customer focus and high-quality standards
• Be part of an agile, highly collaborative and passionate team
• Work closely with experience designer and product manager to ensure the product meets customer expectations and adheres to high usability standards
• Perform research on various technologies and define architectural improvements, build prototypes or core features as needed
• Manage and refine CI/CD pipelines, infrastructure as code, monitoring, and observability to ensure our 99.99% uptime SLA
• Champion DevOps guidelines including automated testing, containerized deployments, and infrastructure automation

Perks and benefits

Salary, health benefits, flexible work hours