Backend Developer

On Site

Calgary, Canada

Requirement:

Responsibilities include

· Design, develop, and maintain backend code using Java, Python programming languages.

· Develop and manage RESTful APIs and microservices.

· Containerize applications using Docker and create/manage Kubernetes manifests and Helm charts for deployment.

· Deploy, manage, and scale applications within Kubernetes clusters on cloud platforms AWS, Azure, and customer's on-prem environments.

· Implement and manage CI/CD pipelines for automated builds, testing, and deployments.

· Design and interact with databases (SQL and NoSQL) ensuring optimal performance and data integrity.

· Monitor application and cluster health using tools like Prometheus, Grafana, and ELK stack; troubleshoot and resolve issues promptly.

· Implement and enforce security best practices for applications and infrastructure within the Kubernetes environment.

· Optimize applications for maximum speed, scalability, and resilience.

· Stay current with emerging cloud-native technologies and Kubernetes best practices.

· Contribute to infrastructure-as-code initiatives using tools like Terraform or Ansible.

· Participate in code reviews and advocate for high-quality coding standards.

Required Education and Skills





· BS or MS in Computer Science or related Engineering discipline

· Proven experience delivering software applications

· Solid understanding of how to build publicly exposed APIs

· Familiarity with CI/CD principles and tools technologies: Jenkins and GitLab Runner

· Must be self-motivated but be able to work well in a team workplace

· Team player; willing to coach junior team members and cooperate on cross-functional problem solving

· Experience with Cloud and SaaS Development: Azure, AWS, Docker, Kubernetes.

· Working in an Agile development environment

Desired Experience

· Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible).

· Understanding of networking concepts in Kubernetes.

· Experience with serverless computing.

· Distributed Computing: distributed job orchestration on Kubernetes, parallel execution patterns, backpressure, sharding/partitioning, fault tolerance, checkpointing; frameworks (Ray/Spark/Dask) if applicable. We are mostly interested in Ray

· Implemented Kafka-based message-driven services and event-driven autoscaling on Kubernetes using KEDA (consumer-group scaling, DLQ/error handling, and scaling policies with performance/cost guardrails).

📌 Backend Developer (Calgary)
🏢 Veracity
📍 Calgary