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Backend Developer
On Site
Calgary, Canada
Requirement:
Responsibilities include:
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.
- 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 environment
- 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
- 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).
Key Skills
Ranked by relevance
kubernetes
cloud
terraform
ansible
docker
cicd
aws
distributed computing
fault tolerance
microservices
restful apis
serverless
prometheus
jenkins
grafana
python
gitlab
nosql
kafka
java
saas
sql
elk
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- Posted
- Feb 02, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Calgary
- Company
- Veracity Software Inc
Industries
IT Services
IT Consulting
Categories
Other
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