Own and drive end-to-end coordination of release activities to ensure successful and timely deployments into production.
Compensation
The annual salary for this position is between CAN $80K-92,500k depending on experience and other qualifications of the successful candidate.
Responsibilities
Own and drive end-to-end coordination of release activities to ensure successful and timely deployments into production.
Monitor and track production defects, coordinating fixes and deployment schedules with development and support teams.
Review deployment packages and code migration requests, assess potential code conflicts, and provide deployment approvals in line with release governance.
Organize and lead defect triage and release readiness calls with stakeholders to drive issue resolution and decision-making.
Prepare and distribute release status reports, and proactively identify and elevate risks, blockers and dependencies.
As Architecture Lead, you will be a hands-on Cloud Architect who also leads Datatonic's team of architects. You will design and build cloud, data and application estates yourself, while setting the standards, growing the people and owning the quality of architecture across our client work.
Responsibilities
Design and lead target architectures across cloud, data and application estates on Google Cloud.
Stay close to the code: Prototype, write infrastructure as code, review pull requests and unblock engineering teams on hard technical problems.
Own boundaries, failure modes, security, cost, operability and how each design evolves over time.
Resolve architectural trade-offs across Platform, Data, Analytics, AI, Software and UX.
Act as design authority on our most complex engagements, making sure what we ship is secure, reliable and maintainable.
Requirements
Nice to have: Professional Cloud Architect certification
Responsible for deploying, managing, and optimizing Zafin’s SaaS cloud infrastructure and applications, ensuring reliability, security, scalability, and high availability.
Compensation
Expected Salary Range: CAD 85K – 100K
Responsibilities
Deploy and manage Azure cloud infrastructure and applications
Automate deployments and CI/CD pipelines
Implement and manage IaC with Terraform and Ansible
Monitor performance with Azure Monitor, Log Analytics, Prometheus, Grafana
Troubleshoot production incidents and perform root cause analysis
Requirements
Bachelor's degree or postgraduate qualification in Computer Science, Information Technology, Engineering, or related discipline
Lead data science initiatives across growth, product, AI, and strategic partnerships, driving insights, experiments, and decision-making.
Locations (4)
New York, New York, United States
Palo Alto, California, United States
Chicago, Illinois, United States
Toronto, Ontario, Canada
Compensation
The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
Seeking a Senior Software Engineer to lead key technical projects from design to delivery, drive the implementation of scalable and robust solutions across our products, and contribute to our technical roadmap while mentoring junior engineers.
Locations (2)
United States
Canada
Compensation
$184,000 - $218,500 USD per year / $163,852 - $194,574 CAD per year
Responsibilities
Designing and building enterprise-grade APIs and platform-level features (web and mobile)
Leading the implementation and launch of new integrations with key data suppliers
Developing and productizing advanced data models to effectively deploy new attributes and scores
Advancing architectural enhancements to support new product use cases and ensure platform scalability
Mentoring junior engineers and contributing to knowledge sharing
Senior Backend Developer to join the Engine AI team to design and maintain backend infrastructure for internal AI solutions, focusing on performance, reliability, and scalability of inference systems.
Compensation
Zone A: $125,300 – $175,300 CAD; Zone B: $135,400 – $203,000 CAD
Responsibilities
Design, develop, and deploy scalable, high-performance, and production-grade backend services and distributed systems to support large-scale model inference.
Contribute to the technical roadmap and design of our inference platform, focusing on low-latency, high-throughput services.
Architect and implement core services for the Agent Development Kit (ADK) and other AI orchestration frameworks.
Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana.
Partner cross-functionally with release management, release QA, product, and engineering teams.
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