Senior Backend Engineer

ANVIL

6d•$125,000 - $165,000•Hybrid

About The Position

As a Senior Backend Engineer, you will play a pivotal role in designing, developing, and maintaining robust backend systems that power our analytical tools and data processing pipelines. You will architect scalable APIs, optimize database performance, and ensure our backend infrastructure can handle mission-critical workloads reliably and efficiently. Furthermore, you will use your knowledge of industry best practices to provide strategic guidance to engineering leadership on how to most effectively design backend architectures that scale with our growing customer base and evolving product requirements. We value people who have an ingrained sense of accountability to the team around them. As an ideal candidate you are not only technically qualified, but you demonstrate a strong work ethic and take pride in your craft. You also collaborate and communicate effectively with the other talented and motivated members of our organization.

Requirements

A degree in Software Engineering, Computer Science, or 10+ years of professional experience in backend system design and implementation.
Eligible for Government of Canada Secret or Top Secret security clearance.
Expert knowledge of Python and web frameworks (Django/DRF, Flask, FastAPI, Sanic etc).
Expert knowledge of relational databases, particularly PostgreSQL, including query optimization and schema design.
Expert knowledge of NoSQL databases (Elasticsearch).
Proficiency with containerization technologies such as Docker.
Experience with API design and development, including REST, WebSockets, and authentication/authorization mechanisms.
Strong knowledge of caching strategies and experience with Redis or similar in-memory data stores.
Experience with message queues and asynchronous processing using Celery, RQ, or similar tools.
Understanding of software design patterns and clean architecture principles.
Experience with version control systems (Git) and collaborative development workflows.

Nice To Haves

Experience with cloud platforms (AWS, GCP, Azure) and their backend services.
Experience with microservices architectures and distributed systems.
Experience with monitoring and observability tools (Prometheus, Grafana).
Knowledge of stream processing technologies (Apache Kafka, Apache Airflow).
Experience with testing frameworks (pytest, unittest).
Scripting experience (Shell, Python automation scripts).
Understanding of CI/CD pipelines and DevOps practices.

Responsibilities

Design and develop scalable backend systems to support high-volume data processing and real-time analytics.
Build robust APIs using REST, WebSockets, and other web protocols for both frontend applications and external integrations.
Develop asynchronous task processing systems to handle complex and long-running computational workloads efficiently.
Design and optimize relational database schemas (e.g., PostgreSQL) for high performance, scalability, and reliability.
Architect and maintain efficient data models and implement optimized queries to support application needs.
Implement data integrity mechanisms, backup and recovery strategies, and caching solutions using technologies like Redis.
Apply security best practices across the development lifecycle
Ensure robust, secure, and auditable system designs with a focus on data protection and operational resilience.
Build and maintain containerized applications using Docker, including efficient multi-stage builds for production deployments.
Ensure secure container configurations and contribute to orchestration strategies in collaboration with DevOps teams.
Advise engineering leadership on backend architectural decisions with a focus on scalability, maintainability, and performance.
Mentor junior developers, participate in code reviews, and contribute to internal engineering standards and documentation.
Collaborate with cross-functional teams—including frontend developers, data scientists, and DevOps engineers—to deliver integrated, end-to-end solutions.