Staff Platform Engineer defining cloud and DevSecOps strategy for Robots & Pencils’ enterprise AI systems. Leading Kubernetes, AI/ML infrastructure, migrations, reliability, security, and platform standards remotely in Canada.
About the role
- Staff Platform Engineer developing enterprise software at Agiloft. Collaborating across teams to create innovative solutions in contract lifecycle management.
Responsibilities
- Build and maintain software applications in our suite of enterprise software products
- Work with product managers and designers to brainstorm bottom-up solutions to novel problems
- Collaborate with AI engineers to efficiently utilize commercial large language model (LLM) APIs
- Continuously improve the code quality, extensibility, scalability, and test coverage of software projects
- Make architecture and cloud-engineering decisions in conjunction with other engineers
- Develop and improve infrastructure-as-code stacks, CI/CD pipelines, and monitoring/observability tools
- Improve internal developer tools, workflows, and best practices to enhance team efficiency
- Provide consistent feedback to management regarding the quality of the team, the state of the tech stack, and relationships with stakeholders
- Troubleshoot and resolve complex issues across the entire application stack
- Mentor junior team members
- Participate in incident response and disaster recovery efforts
- Leverage AI-assisted tools to enhance productivity, streamline workflows, and support day-to-day activities
- Other duties as assigned
Requirements
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
- Minimum of 8 years of professional experience as a software engineer
- Minimum of 3 years in a tech lead, architecture lead, or management role
- Comfortable working with Python in core application code
- Experience building modern, cloud-native applications using serverless technology (API Gateway, Lambda, DynamoDB, or similar)
- Interest in building enterprise software with deep customer empathy, taking pride in contributing to a world class end-to-end user experience
- Strong problem-solving, collaboration, teamwork and communication skills
- Eagerness to learn and adapt to new technologies and tools
- Proficiency in using relevant AI Tools in the SLDC (Cursor, GitHub Copilot) coding, and/or API integrations
- Deep understanding of:
- Version control systems (Git)
- Relational databases and data modeling (Postgres preferred)
- Infrastructure as Code in AWS (CloudFormation, SAM)
- RESTful API design and documentation
- CI/CD tools such as GitHub Actions or similar
- Containerization and orchestration (Docker, ECS)
- Enterprise-scale cloud engineering in AWS
- Modern software development lifecycle on an agile product team
Benefits
- Floating holidays
- Quarterly wellness day without questions asked
- Support for healthy work/life balance
- Multiple Employee Resource Groups (ERGs)
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