This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Foundations based in Canada.
This is a high-impact staff-level engineering role focused on re-platforming the data layer behind a mission-critical compliance product.
You will lead a complex migration from a Mongo-centric architecture to a schema-aware, Postgres-backed platform while maintaining customer-facing API compatibility.
The role operates at significant scale, processing high-throughput security and compliance data across distributed systems.
You will tackle challenging problems involving data correctness, eventual consistency, multi-tenancy, reliability, and large-scale migrations.
Working across teams, you will shape architectural direction for streaming, storage, caching, and data-querying infrastructure.
You will also mentor senior engineers and influence multi-quarter technical strategy across the broader engineering organization.
This is an opportunity to make foundational technical decisions in a remote, collaborative environment where reliability and correctness are essential.
Accountabilities:
- Lead the migration of the resource data model from a Mongo-centric architecture to a schema-aware, Postgres-backed platform while maintaining backward compatibility and customer integrations.
- Design and evolve high-throughput data ingestion and processing pipelines capable of handling terabyte-scale data streams and significant bursts of activity.
- Architect systems for correctness under eventual consistency, using approaches such as idempotent processing, conditional writes, reconciliation, and explicit backpressure.
- Drive technical solutions across engineering teams that depend on the Foundations platform, influencing systems and decisions beyond your immediate team.
- Develop the Query API into a production-grade platform with schema versioning, joins, exports, tenant isolation, and predictable performance under load.
- Build and operate data infrastructure where accuracy and reliability are critical because generated evidence must withstand external compliance audits.
- Diagnose complex production issues involving hot partitions, unbounded fan-out, online database rewrites, continuously written tables, and challenging production data shapes.
- Set architectural direction across Kafka and event-queuing infrastructure, Redis caching, Postgres, MongoDB, and related distributed-system components.
- Establish and execute multi-quarter technical roadmaps in partnership with engineering leadership and cross-functional stakeholders.
- Champion reliability, observability, operational excellence, and strong engineering practices across foundational data infrastructure.
- Mentor senior engineers through design reviews, architectural guidance, technical coaching, and hands-on collaboration on complex engineering problems.
- Use AI tools responsibly to accelerate engineering workflows and explore opportunities to improve the systems and processes being built.
Requirements:
- Proven experience leading major platform migrations or v1-to-v2 architectural transitions while maintaining backward compatibility, availability, and customer-facing functionality.
- Deep expertise in distributed systems and data pipeline engineering, with experience designing and operating enterprise-scale systems handling high-throughput event processing and terabyte-scale data.
- Strong knowledge of Kafka or comparable streaming and queuing technologies, including partitioning, consumer groups, redelivery, ordering considerations, and idempotency.
- Extensive experience with relational and document databases at scale, particularly Postgres and MongoDB, including query planning, connection pooling, data modeling, and online schema changes.
- Strong understanding of eventual consistency, multi-tenancy, distributed data processing, reconciliation, and reliability engineering.
- Solid AWS fundamentals and professional experience working with TypeScript and Node.js.
- Experience defining technical strategy and multi-quarter roadmaps while collaborating effectively with engineering leadership and teams outside your direct ownership.
- Ability to communicate complex architectural concepts, system tradeoffs, and long-term technical decisions clearly to both technical and non-technical stakeholders.
- Demonstrated ability to mentor senior engineers and raise engineering standards through technical leadership, design reviews, and hands-on contribution.
- Strong operational mindset with a focus on observability, reliability, performance, and maintainability.
- Curiosity and willingness to use AI tools to amplify engineering capabilities, while applying sound judgment and responsible practices.
Benefits:
- Competitive salary and equity.
- 100% company-covered medical, dental, and vision benefits, including dependent coverage.
- Pension contribution.
- 16 weeks of paid parental leave for all new parents.
- Health and wellness stipend.
- Remote workspace, internet, and cellphone stipends.
- Flexible working hours and location.
- 21 days of vacation time and 80 hours of sick leave.
- 11 company-paid holidays.
- Virtual team-building activities, lunch-and-learns, and company-wide events.
- Inclusive, remote-first working environment with opportunities to collaborate with colleagues internationally.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.