Location: Hybrid to the closest Capgemini office

Job Description:

We are looking for an Senior Backend Software engineer to support ML Serving platform and Performs research, design, implementation, and support tasks as a team member of Capgemini. Works in accordance with project guidelines, quality standards and code conventions.
Investigate, create, and implement the solutions for existing technical challenges, including building/enhancing the frameworks and tools used by other development teams.
Our client is one of the world’s largest social media platform, dealing with one billion events per day.

Key Responsibilities:

• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
• Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
• Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
• Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
• Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
• Addresses area-level risks, provides and implements mitigation plan.
• Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
• Responsible for resolving crisis situations within his/her AOR.
• Initiates and conducts code reviews, creates code standards, conventions and guidelines.
• Suggests technical and functional improvements to add value to the product.
• Constantly improves his/her professional level.
• Collaborates with other teams.

Required Skills:

• Must have excellent programming skill in python and C++.
• 5+ Yrs. experience as a Senior Backend Software Engineer.
• DevOps experience with AWS and K8s is nice to have but not a must.
• Preferably Canada PST
• Ability to organize and document solutions.
• A passion for ML systems and processes to make the difficult trivial.
• Good English (oral & written); strong communication, collaboration and interpersonal skills.
• Experience working in Agile environment and ability to learn quickly.
• ML libs experience (PyTorch, Tensorflow, MLFlow, Kubeflow ) and tools will be considered as a plus.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Collaborating with teams of creative, fun, and driven colleagues
• Flexible work options enabling time and location-based flexibility
• Company-provided home office equipment
• Virtual collaboration and productivity tools to enable hybrid teams
• Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)
• Other perks and wellness benefits like discount programs, and gym/studio access.
• Paid Parental Leave and coaching, baby welcome gift, and family care/illness days
• Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring
• Tuition assistance and weekly hot skill development opportunities
• Experiential, high-impact learning series events
• Access to mental health resources and mindfulness programs
• Access to join Capgemini Employee Resource Groups around communities of interest

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.