Senior Lead Engineer, Software

Celestica; Canada; Remote; CAD 100,000 - 130,000; Full time

Job summary

A leading technology company in Canada is seeking a Senior Lead Engineer, Software to architect and implement high-performance software systems for AI applications. The ideal candidate will possess strong programming skills in Python, Rust, or C/C++, experience with cloud platforms, and a passion for artificial intelligence. Leadership and project management abilities are essential. This role involves collaborating with cross-functional teams to deliver high-quality products.

Benefits

Equal opportunity employer

Inclusive and accessible environment

Responsibilities

• Architect and implement scalable and reliable software systems.
• Integrate machine learning models into production applications.
• Optimize software for low latency and high throughput.
• Provide technical leadership to a team of engineers.
• Collaborate with cross-functional teams.

Skills

Strong proficiency in Python, Rust, or C/C++

Experience deploying on cloud platforms like AWS or Azure

Proficiency with Linux environments

Hands-on experience with Docker

Experience with Jira and git

Solid experience with SQL and NoSQL databases

Expertise with gRPC, REST, and HTTPS application APIs

Strong analytical mindset

Interest in artificial intelligence

Ability to manage complex engineering projects

Demonstrate leadership behaviors

Tools

Docker

Kubernetes

Jira

Git

Job description

The Senior Lead Engineer, Software develops, debugs, tests, deploys and supports code to be deployed in systems/products/equipment for various applications. They write, debug, maintain, and test software in various common languages and for software at various levels of the Software Stack, and work in cross functional teams with other designers, customers, manufacturing engineering and project leadership to ensure robust and high quality product development.

This is a great opportunity for a skilled software engineer to transition into the field of Artificial Intelligence.

Responsibilities

• Architect and implement scalable, reliable, and high-performance software systems for data processing, model training, and inference.
• Integrate machine learning models into production-ready applications and services using modern CI/CD practices.
• Profile and optimize software systems to ensure low latency and high throughput.
• Utilize technologies like Docker and Kubernetes to containerize and manage the deployment of our AI applications.
• Provide technical leadership and direction to a team of engineers. May be a recognized expert (go to person) in one or more technical areas
• Analyze, design and develop tests and test-automation suites.
• Collaborate cross-functionally with customers, users, project managers and other engineers.
• Provide recommendations for continuous improvement.
• Work alongside other engineers on the team to elevate technology and consistently apply best practices.

Requirements

• Programming Languages: Strong proficiency in one or more of the following languages: Python, Rust, or C/C++.
• Cloud Platforms: Experience deploying applications on cloud platforms such as AWS or Azure.
• Operating Systems: Proficiency with Linux environments.
• Containerization: Hands-on experience with container technologies like Docker. Experience with orchestration tools (e.g., Kubernetes) is a plus.
• Development Tools: Experience working in an Agile environment using tools like Jira for tracking work and defects, and git or equivalent tools for source control.
• Databases: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases. Timeseries databases such as Prometheus are nice to have.
• Application Protocols: Expertise with one or more of gRPC, REST and HTTPS application APIs, gNMI.
• Problem-Solving Skills: A strong analytical mindset and the ability to tackle complex software engineering challenges.
• Eagerness to Learn: A genuine interest in artificial intelligence and a strong desire to learn new technologies and concepts.
• Project Management - Ability to manage/lead complex engineering projects.
• Leadership - Demonstrate 'People & Team Leadership Behaviors' as per Celestica Leadership Imperatives.

What We Offer

Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law). At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported.