Senior Principal Software Engineer

About Boomi Are you ready to work at a fast‑growing company where you can make a difference? Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award‑winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world‑class people and industry‑leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more.

Aren’t sure if you’re a match? We know that impostor syndrome and the confidence gap can prevent us from meeting spectacular candidates — so don’t hesitate to apply; you could be the perfect fit!

How You’ll Make An Impact As a Senior Principal Software Engineer, you will be a technical leader driving the architecture, design, and implementation of complex backend systems at scale. You will set technical direction, mentor team members, and solve challenging technical problems while ensuring our systems meet the highest standards of reliability, performance, and maintainability. Your expertise will be critical in advancing our Agentic AI capabilities.

What You Will Do

Define and drive the technical vision and architecture for backend systems, ensuring alignment with business objectives and long‑term scalability.

Lead the design and implementation of complex, distributed systems using Python and Java, establishing architectural patterns and best practices.

Architect and optimize highly scalable, fault‑tolerant microservices that handle high‑throughput workloads across multiple cloud environments.

Design and implement sophisticated Agentic AI systems, building proof‑of‑concepts and production implementations that demonstrate advanced architectures and orchestration patterns.

Champion the adoption and advancement of Agentic AI capabilities, designing sophisticated agent architectures and orchestration patterns.

Provide technical leadership and mentorship to engineering teams, conducting design reviews, and elevating the technical capabilities of engineers at all levels.

Drive architectural decisions around data storage, processing, and retrieval strategies across SQL, NoSQL, vector databases, and search technologies.

Collaborate with senior leadership, product management, and cross‑functional teams to translate business requirements into robust technical solutions.

Lead incident response for critical production issues, perform deep‑dives and root cause analysis, and implement systemic improvements.

Establish and enforce engineering excellence through coding standards, architectural guidelines, testing strategies, and operational best practices.

Stay at the forefront of technology trends, evaluate emerging technologies, and drive innovation across the engineering organization.

Promote continuous improvement, technical excellence, and knowledge sharing.

The Experience You Bring

Technical Leadership: 10+ years of experience in backend software engineering with a proven track record of leading complex technical initiatives and architectural decisions.

Advanced Backend Development: Deep expertise in Python and Java with proficiency in modern frameworks including FastAPI, Django, Flask, Spring Boot. Proven ability to build highly scalable systems.

Database Architecture: Expertise in database design, optimization, and scaling strategies across SQL, NoSQL, vector databases, and OpenSearch. Experience designing data models for complex domains and implementing sophisticated data partitioning and replication strategies.

Agentic AI Expertise: Strong experience in Agentic AI architecture and implementation. Deep understanding of agent design patterns, multi‑agent orchestration, tool integration, memory systems and architectures. Extensive hands‑on experience building production‑grade agentic systems and custom agent architectures. Experience with RAG (Retrieval‑Augmented Generation), prompt engineering, and LLM integration strategies.

Cloud & Infrastructure: Extensive experience architecting and operating systems on AWS, Azure, or Google Cloud at scale. Deep understanding of cloud‑native patterns, cloud architectures, and cost optimization strategies.

Microservices & Containers: Expertise in microservices architecture, distributed systems patterns, and container orchestration using Kubernetes /EKS.

Infrastructure as Code: Knowledge and proficiency in Terraform, CloudFormation, or Ansible. Experience building self‑service infrastructure platforms and developer tooling.

DevOps & SRE Practices: Deep understanding of CI/CD pipelines, deployment strategies, observability, monitoring, and incident management. Experience establishing SLIs, SLOs, and error budgets.

System Design Excellence: Proven ability to design highly scalable systems with strong understanding of consistency, availability, tolerance, latency, and cost. Experience with distributed caching, message queues, event streaming, and asynchronous processing patterns.

Quality & Testing Leadership: Champion of testing best practices including TDD, integration testing, and chaos engineering. Experience establishing testing frameworks and quality gates that enable rapid, confident deployments.

Performance & Optimization: Deep expertise in performance profiling, optimization, and capacity planning. Experience identifying and resolving bottlenecks in distributed systems.

Mentorship & Communication: Strong communication skills with the ability to explain complex technical concepts to both technical and non‑technical audiences. Proven track record of mentoring senior engineers and elevating team capabilities. Experience leading technical discussions, design reviews, and architecture forums.

Agile & Process Leadership: Strong understanding of Agile/Scrum methodologies with experience shaping engineering processes, tooling (Jira, Confluence), and practices that enhance team productivity.

Any prior experience with LLM model reinforcement fine‑tuning, model distillation, building inference infrastructure/framework, model evaluation is a big plus.

Education & Experience

Bachelor's or Master's degree in Computer Science or related field with 10+ years of professional experience in backend software development, including 3+ years in technical leadership roles.

Demonstrated thought leadership through technical blogs, conference talks, open‑source contributions, or patents is highly valued.

Location Vancouver (remote)

Compensation & Benefits Boomi is committed to fair and equitable compensation practices. Base compensation for this position in our Vancouver hub ranges from $176,256 - $220,320 CAD annually + applicable bonus. Final compensation will be determined by various factors including the candidate’s knowledge, skills, experience, and geographic location.

Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be a true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities.

All employment decisions are based on business needs, job requirements, and individual qualifications.

Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to totalent@boomi.com. This inbox is strictly for accommodations, please do not send resumes or general inquiries.

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