About brighthush
brighthush is a trailblazing AI platform company that empowers organizations worldwide to unlock the full potential of generative and predictive intelligence. With a portfolio that spans from cutting‑edge machine learning models to enterprise‑grade data pipelines, brighthush is redefining how businesses harness data to drive innovation, efficiency, and competitive advantage. Our mission is simple yet ambitious: to democratize AI so that every team, regardless of size or technical depth, can build intelligent solutions that transform their industry.
Operating at the intersection of cloud infrastructure, data science, and software engineering, brighthush delivers a unified platform that seamlessly integrates model training, deployment, monitoring, and governance. Our customers span finance, healthcare, retail, and technology, and they rely on brighthush to accelerate time‑to‑value, reduce operational risk, and scale AI initiatives with confidence.
Why Join brighthush?
- Impactful Work: Your contributions will directly influence the reliability and performance of a platform that powers thousands of AI workloads for global enterprises.
- Innovation Culture: At brighthush, we celebrate curiosity, experimentation, and continuous learning. You’ll collaborate with world‑class data scientists, DevOps engineers, and product managers to solve complex, real‑world problems.
- Career Growth: We invest heavily in professional development—internal training, conference sponsorships, and mentorship programs—so you can evolve from a support specialist into a technical leader.
- Remote Flexibility: Work from anywhere in Canada (or beyond) with a fully remote, distributed team that values autonomy, trust, and work‑life balance.
- Competitive Compensation: A generous salary range, equity, and a comprehensive benefits package that supports your health, well‑being, and future.
Key Responsibilities
As a Customer Support Engineer at brighthush, you will be the first line of defense for our platform’s reliability and customer satisfaction. Your day‑to‑day activities will include:
- Incident Management: Rapidly triage, diagnose, and resolve production incidents affecting our AI platform, Kubernetes clusters, and cloud services.
- Root Cause Analysis: Conduct deep dives into complex issues, collaborate with engineering teams, and document findings to prevent recurrence.
- Customer Engagement: Communicate clearly with clients via ticketing systems, live chat, and video calls to understand their challenges and provide actionable guidance.
- Automation & Tooling: Write and maintain scripts, monitoring dashboards, and diagnostic tools in Go, Python, or Bash to streamline support workflows.
- Knowledge Base Development: Author detailed troubleshooting guides, best‑practice articles, and FAQs that empower both customers and internal teams.
- Cross‑Functional Collaboration: Partner with Product, Engineering, and DevOps to relay customer feedback, prioritize feature enhancements, and influence roadmap decisions.
- Continuous Improvement: Participate in post‑mortem reviews, contribute to blameless culture, and propose process improvements to elevate support quality.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- Minimum of 1 year of professional experience in software engineering or technical support.
- Hands‑on experience with container orchestration (Kubernetes) and containerization (Docker).
- Proficiency in at least one of the following programming languages: Go, Python, C++, or Java.
- Solid understanding of Linux system administration, networking fundamentals, and cloud platforms (AWS, Azure, GCP).
- Experience with infrastructure-as-code tools such as Terraform and Helm.
- Familiarity with CI/CD pipelines, monitoring, and logging stacks (Prometheus, Grafana, ELK).
- Strong analytical and problem‑solving skills, with the ability to translate complex technical issues into clear, actionable steps.
- Excellent written and verbal communication skills in English.
Preferred Qualifications
- Experience with gRPC, microservices architecture, and distributed systems.
- Knowledge of machine learning frameworks (scikit‑learn, PyTorch, TensorFlow) and data processing libraries (NumPy, pandas).
- Background in MLOps practices, model deployment, and monitoring.
- Exposure to Scala, Akka, or Druid Database for data‑intensive workloads.
- Prior involvement in open‑source projects or community contributions.
- Certifications such as Certified Kubernetes Administrator (CKA) or AWS Certified Solutions Architect.
Skills & Competencies
- Technical Proficiency: Mastery of Kubernetes, Docker, Terraform, Helm, and cloud-native tooling.
- Programming: Comfortable writing production‑grade code in Go, Python, or Java.
- Systems Thinking: Ability to see the big picture while troubleshooting granular issues.
- Customer‑Centric Mindset: Passion for delivering exceptional service and building lasting client relationships.
- Collaboration: Strong teamwork skills, with experience working in cross‑functional, fast‑paced environments.
- Adaptability: Quick learner who thrives in dynamic, evolving technical landscapes.
- Communication: Clear, concise, and empathetic communication across technical and non‑technical audiences.
Career Growth & Learning Opportunities
At brighthush, we believe that your career trajectory should be as dynamic as the technology you work with. As a Customer Support Engineer, you will:
- Progress to senior support roles, technical lead, or specialized positions such as Site Reliability Engineer (SRE) or Platform Engineer.
- Gain exposure to product strategy, architecture design, and AI research initiatives.
- Participate in internal hackathons, innovation labs, and knowledge‑sharing sessions.
- Receive mentorship from seasoned engineers and leaders across the organization.
- Attend industry conferences, workshops, and training courses—fully reimbursed by brighthush.
Work Environment & Culture
brighthush fosters a culture that values transparency, autonomy, and continuous improvement. Our remote-first approach means you can work from any location in Canada, supported by:
- Flexible working hours that respect personal commitments.
- Regular virtual team gatherings, town halls, and informal coffee chats.
- A collaborative mindset where ideas are welcomed, and experimentation is encouraged.
- Access to cutting‑edge tools, cloud credits, and a robust internal knowledge base.
Compensation & Benefits
We offer a competitive total rewards package that includes:
- Base Salary: CAD 80,000 – 100,000 per year, commensurate with experience.
- Equity: Opportunity to own a stake in brighthush’s growth.
- Health & Wellness: Comprehensive medical, dental, and vision plans.
- Retirement Plan: Company‑matched pension contributions.
- Paid Time Off: Generous vacation policy, sick leave, and personal days.
- Professional Development: Budget for certifications, courses, and conference attendance.
- Remote Work Stipend: Monthly allowance for home‑office setup.
How to Apply
If you are passionate about delivering world‑class support for AI platforms, thrive in a fast‑moving environment, and want to make a tangible impact, we want to hear from you. Submit your application through the link below and join the brighthush team in shaping the future of intelligent technology.
Join brighthush Today
At brighthush, you’ll be part of a mission‑driven organization that is redefining AI for the next generation of businesses. Your expertise will help keep our platform reliable, secure, and scalable, while your curiosity will drive continuous improvement and innovation. If you’re ready to take the next step in your career and contribute to a platform that powers transformative AI solutions worldwide, apply now and become a key player in our success story.
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