Jonas Software is hiring a Senior Software Engineer to build distributed systems and cloud-native applications. In this role, you will specialize in designing scalable backend services, modern frontend solutions, and real-time data pipelines to deliver high-impact products.

What You'll Do

Design, develop, and maintain backend microservices in Python and Node.js/TypeScript using AWS Lambda, Cloud Run, Cloud Functions, Dataflow, S3, QuickSight, and Athena.
Implement REST APIs to enable high-performance, secure integrations with internal and external systems.
Build and maintain frontend features using modern component libraries such as React.
Design and optimize data pipelines leveraging Kafka/MSK, Airflow, and cloud data lakes for real-time and batch processing.
Collaborate with QA, Product, and cross-functional teams to troubleshoot, resolve, and prevent production issues.
Write unit and integration tests, enforce coding standards, and refactor code to follow DRY and scalable architecture principles.
Mentor junior developers on engineering best practices, cloud computing, and microservice design.
Peer review commits and pull requests, ensuring code quality and adherence to architecture standards.
Document systems, workflows, and technical designs in Confluence for organizational knowledge sharing.
Contribute to scaling initiatives by building ledger-driven financial workflows, transaction monitoring systems, and automated reporting pipelines.

What We're Looking For

Extensive experience building distributed systems and cloud-native applications
Experience designing scalable backend services, modern frontend solutions, and real-time data pipelines
Proven track record of taking projects from architecture through deployment
Experience collaborating with cross-functional teams
Experience working in Agile development environments, including Scrum or Kanban

Nice to Have

Experience with financial systems, payment processing, or ledger-based architectures
Familiarity with infrastructure-as-code (Terraform, CloudFormation)
Exposure to container orchestration (Kubernetes, ECS)
Hands-on experience with CI/CD pipelines (GitHub Actions, CodePipeline)
Knowledge of data visualization and reporting tools (QuickSight, Tableau, or Looker)
Understanding of observability tools (Prometheus, Grafana, Datadog)
Interest in mentorship, technical leadership, and architecture design reviews
Familiarity with machine learning and/or AI systems
Passion for continuous improvement, clean architecture, and developer experience

Technical Stack

Languages: Python, JavaScript/TypeScript, Java
Frameworks/Libraries: React
Cloud/Infrastructure: AWS (Lambda, S3, EKS, QuickSight), GCP (Cloud Functions, Cloud Run)
Databases: PostgreSQL, MongoDB, AWS Athena
Data & Messaging: Kafka/MSK, Airflow, SQS
Tools & Platforms: Docker, Git, Confluence, Jira, CloudWatch
Concepts: API Design, Distributed Systems, Microservices, Event-Driven Architecture