Sr. Site Reliability Engineer
Télétravail au CanadaBlackpoint Cyber: Blackpoint Cyber is a technology-driven cybersecurity company.
5+ ansCandidates need 5+ years in a senior SRE or similar role with strong cloud and automation experience. They should know Terraform, AWS, Kubernetes, Kafka and monitoring tools, and be able to troubleshoot complex production systems.
Terraform, Terragrunt, AWS, Kubernetes, Helm, ArgoCD
AI/ML Ops Engineer
Télétravail au CanadaBlackpoint Cyber: Blackpoint Cyber is a technology-driven cybersecurity company.
5+ ansBlackpoint Cyber needs 5+ years of ML engineering experience, including having personally trained and deployed models to production. Candidates need strong cloud ML infrastructure skills on AWS, MLOps and containerization experience, and clear communication with stakeholders.
AWS SageMaker, Kafka, Spark, MLflow, Terraform, GitHub Actions
Sr. Software Engineer (AI/ML)
Télétravail au CanadaBlackpoint Cyber: Blackpoint Cyber is a technology-driven cybersecurity company.
5+ ansCandidates need 5-7 years of back-end engineering experience with scalable systems, and Python is required. They also need Kubernetes microservices experience, strong database skills, sound back-end security knowledge, and familiarity with ML/AI workflows.
Kubernetes, PostgreSQL, MySQL, MongoDB, AWS, Kafka
Software Engineer (AI/ML)
Télétravail au CanadaBlackpoint Cyber: Blackpoint Cyber is a technology-driven cybersecurity company.
3+ ansBlackpoint Cyber needs candidates with 3-5 years of back-end engineering experience, strong Python skills, microservices on Kubernetes, and database design across SQL and NoSQL. Working ML/AI knowledge and back-end security fundamentals are also needed, and candidates earlier in their ML journey are considered.
Kubernetes, PostgreSQL, MySQL, MongoDB, AWS, Kafka
Software Architect
Télétravail au CanadaBlackpoint Cyber: Blackpoint Cyber is a technology-driven cybersecurity company.
10+ ansCandidates need 10+ years of software architecture and engineering experience, including data pipelines, streaming technologies, AWS and containers, and enterprise SaaS or endpoint agent design. Strong written, verbal and leadership communication skills are also required.
AWS, Docker, Kubernetes, Kafka, Spark, Elastic