Location
Burnaby, BC | Canada
Job description
Description
*Hybrid role: Requires to be in the office in Burnaby, at least 2 days a week*
It’s an exciting time to be at Infoblox. Named a Top 25 Cyber Security Company by The Software Report and one of Inc. magazine’s Best Workplaces for 2020, Infoblox is the leader in cloud-first networking and security services. Our solutions empower organizations to take full advantage of the cloud to deliver network experiences that are inherently simple, scalable, and reliable for everyone. Infoblox customers are among the largest enterprises in the world and include 70% of the Fortune 500, and our success depends on bright, energetic, talented people who share a passion for building the next generation of networking technologies—and having fun along the way.
We are looking for a Data Engineer II to join our Cloud Engineering - AI Integration team in Burnaby, BC, CAN, reporting to the Senior Manager of Software Engineering. In this role, you will drive continuous enhancement and efficiency in our machine learning operations through your expertise in automation, machine learning operations (MLOps) practices, testing strategies, and cloud-based machine learning applications. This is an exceptional opportunity to join a growing, successful, and innovative organization. At Infoblox, you will be able to thrive in a unique work environment that emphasizes career growth, excellence, innovation, and collaboration.
You are the ideal candidate if you are passionate about taking on challenges and enjoy working on advancing the reliability and performance of machine learning products.
What you'll do:
- Collaborate with data scientists and software engineers to test and monitor machine learning models in production environments
- Develop and maintain automated pipelines for model training, testing, QA, and monitoring
- Implement best practices for version control, model tracking, and reproducibility
- Design and optimize infrastructure for machine learning workloads on cloud platforms such as AWS, Azure, or GCP
- Implement continuous integration and continuous deployment (CI/CD) processes for machine learning projects
- Monitor and maintain deployed models, ensuring high availability, reliability, and performance
- Troubleshoot and debug issues related to model deployment and performance
- Stay up to date with advancements in machine learning technologies and tools, and evaluate their applicability to the organization's infrastructure and processes
- Collaborate with cross-functional teams to define requirements and prioritize tasks
What you'll bring:
- Bachelor's degree or higher in computer science, engineering, or a related field
- Minimum 5 years of experience, with 3 years of experience in MLOps or related fields
- Excellent programming skills in languages, such as Python, Spark, or Go
- Experience with containerization technologies, such as Docker and container orchestration platforms like Kubernetes
- Proficiency in cloud computing platforms such as AWS, Azure, or GCP
- Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn
- Familiarity with generative AI and LLMs, such as GPT, Gemini, or LLama2
- Experience with version control systems such as Git
- Superb problem-solving and troubleshooting skills
- Excellent communication and collaboration skills, and the ability to work independently and in a team
What success looks like:
After six months, you will…
- Successfully deploy multiple machine learning models into production environments using automated pipelines
- Develop and implement best practices for version control, model tracking, and reproducibility
- Optimize infrastructure for machine learning workloads, improving scalability and performance
- Implement CI/CD processes for machine learning projects, reducing deployment time and increasing efficiency
- Establish monitoring and maintenance procedures, ensuring high availability and reliability of deployed models
After about a year, you will…
- Lead the development and expansion of the MLOps framework, incorporating testing, QA, and monitoring solutions
- Mentor junior team members and contribute to their professional growth
- Implement advanced optimization techniques to further improve infrastructure scalability and performance
- Successfully integrate additional tools and technologies to enhance the MLOps framework
- Be recognized as a subject matter expert in MLOps within the organization and actively contribute to thought leadership initiatives
We’ve got you covered:
In the spirit of pay transparency, we are excited to share our compensation philosophy. At Infoblox, we believe in paying for performance. You can expect our employment offers to take many factors into consideration, including but not limited to the location of the role, internal equity, applicable past experience, individual skill set, education, and professional certifications. Please keep in mind that the range mentioned is the base salary range for the role. The typical base salary range for this position based in the province of British Columbia is $92,100 - $135,740 plus a corporate bonus.
Our holistic benefits package includes coverage of your health, wealth, and wellness—as well as a great work environment, employee programs, and company culture. We offer a competitive salary and benefits package, including a 401k with company match and generous paid time off to help you balance your life. We have a strong culture and live our values every day—we believe in transparency, curiosity, respect, and above all, having fun while delighting our customers.
Speaking of a great work environment, here are just a few of the perks you may enjoy, depending on your location…
- Boutique office space with state-of-the-art amenities, located in the heart of Metro Vancouver area; bike-friendly and steps from SkyTrain and Metrotown Mall
- Onsite parking paid for by the company
- Generous company contribution towards RRSP (independent of employee contribution!)
- Onsite massages, ping-pong table, dartboard, and a nap room/wellness room for moms
- Stay fueled with healthy snacks, free bean-to-cup gourmet coffee options and selections of exotic teas, juices and refreshing beverages, and biweekly Thirsty Thursday local craft beers, BC wines, and BC ciders
- Enjoy our generous PTO policy and flexible work environment because we know the importance of having a great work-life balance— sometimes your best work is done in slippers
- We are passionate about lifelong learning and growth, and offer opportunities through a world-class learning platform (Litmos), training, workshops, mentorship, and an annual up to $5,000 Career Development reimbursement benefit
- Our teams spend time together outside of work, too — we have several annual team outings, have gone on hikes and Grouse Grind, hosted family BBQs, go-karting, boat cruises, etc.
- Be confident bringing your whole self to work — we’re proud to be an inclusive company with diverse teams and our values grounded in ethics and equality
Why Infoblox?
We’ve created a culture that embraces diversity, equity, and inclusionand rewards innovation, curiosity, and creativity. We achieve remarkable results by working together in a supportiveenvironment that focuses on continuous learning and embraces change. So, whether you’re a software engineer, marketing manager, customer care pro, or product specialist, you belong here,where you will have the opportunity to grow and develop your career. Check out what it’s like to be a Bloxer.We think you’ll be excited to join our team.
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