toronto, on startup software developer Jobs – 120 Openings This Week

Staff Engineer, Search Query Platform
MongoDB —Toronto, ON
- Hybrid work
- Azure
- Java
- Databases
Senior Assurance Solutions Architect, AWS Security Assurance Services
Amazon Web Services Canada, Inc. —Toronto, ON
- $146,000–$211,600 a year
- Full-time
- Bar
- ERP systems
- Databases
- Profit sharing
- Dental care
8d
ISV Senior Account Manager, ISV Canada
Amazon Web Services Canada, Inc. —Toronto, ON
- $123,600–$206,300 a year
- Full-time
- Bar
- Sales
- Business development
- Profit sharing
- Dental care
Performance Engineer
Cerebras Systems —Toronto, ON
- Doctoral degree
- Computer Science
- Engineering
AI Business Unit Leader - Build our new B2B SaaS Business
Valsoft Corporation —Toronto, ON
- Full-time
- Hybrid work
- Bachelor's
- APIs
- AI
Quick apply
Sr. Enterprise Account Manager, Financial Services (Insurance)
Amazon Web Services Canada, Inc. —Toronto, ON
- $123,600–$206,300 a year
- Full-time
- Bar
- Sales
- Business development
- Profit sharing
- Dental care
Machine Learning Lead, Edge AI Inferencing
Blumind —Markham, ON
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Digital Hardware Engineer
Gabriella & Co —Canada
- Overtime
- Hybrid work
- Laboratory experience
- In-person
- Manufacturing
- Employee stock purchase plan
- Dental care
Quick apply
9d
DevOps and Cloud Manager
The Land Administration Company Inc —Canada
- $130,000–$155,000 a year
- Full-time
- DevOps
- AWS
- Continuous improvement
- Disability insurance
- Dental care

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Senior Assurance Solutions Architect, AWS Security Assurance Services
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Expertise – Leads teams that include Amazonians, partners, and customers to enhance security assurance and compliance programs - Solutions - Lead a team to…
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Assurance Solutions Architect, AWS Security Assurance Services
Amazon Web Services Canada, Inc. —Toronto, ON
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Staff Engineer, Search Query Platform

MongoDB -
Toronto, ON

Apply Now

Job details

Qualifications

Lucene
Azure
Rust (programming language)
MongoDB
Java
Databases
AWS
Data management
Distributed systems
Apache
High availability

Full job description

The Search Query team at MongoDB builds the core infrastructure behind MongoDB Search and Vector Search. Our mission is to make advanced search capabilities feel native to the database, so developers can build powerful, scalable applications without standing up separate systems or compromising transactional performance.

We are the team behind mongot, the indexing and query execution engine that powers Search and Vector Search across MongoDB Atlas and self-managed deployments. Our work sits at the intersection of distributed systems, databases, and search infrastructure. We integrate Apache Lucene with MongoDB using native query operators like $search and $vectorSearch, build asynchronous change-stream-driven indexing pipelines that scale independently from transactional workloads, and support deployments across cloud, on-prem, and hybrid environments. Engineers on this team own meaningful subsystems, influence architectural decisions, and work on core database technology used by developers globally.

We are looking to speak to candidates who are based in Toronto, Ontario, Canada for our hybrid working model.

What You'll Do:

This is a rare opportunity to set the technical direction for one of MongoDB's most strategic investments. You will harden our infrastructure by implementing advanced resource management, admission control, and system safeguards to ensure high availability. You'll serve as a force multiplier for the Search and Vector teams, building the foundational tooling, observability, and safeguards needed to ship high performance systems at scale.

In this role, you will:

Own the cross-system data infrastructure layer for MongoDB's next-generation Search and Vector Search capabilities, carrying outcomes that span 6-18 months
Define the technical roadmap for Atlas Search, identifying gaps, proposing solutions, and driving alignment across engineering teams globally
Lead the architecture and evolution of the core mongot and MongoDB infrastructure, making durability, consistency, and scale decisions with conviction
Drive complex, multi-team initiatives by building technical consensus, navigating ambiguity, and setting direction when there is no clean playbook
Serve as a trusted technical partner to leadership on roadmap, architecture, and engineering process, advising rather than just informing
Raise the technical ceiling of the team through mentoring, rigorous code review, and knowledge-sharing that creates leverage beyond your own output
Standardize how engineering teams across the globe contract with one another, reducing coordination costs and increasing execution velocity at scale

What We're Looking For:

8+ years of experience in data management systems or related distributed infrastructure
Deep proficiency in modern programming languages and techniques, e.g., Java, Rust
Demonstrable experience designing and operating distributed systems, cloud services, or SaaS products at scale
The ability to reason about systems at the physical layer: data consistency, durability guarantees, concurrency, and failure modes in distributed environments
A track record of operating at Staff or Principal scope: defining technical direction, resolving cross-team ambiguity, and personally championing initiatives from conception to delivery

Preferred (not required):

Experience designing or maintaining search platforms or distributed databases
Experience building query engines or information retrieval systems
Contributor to Lucene or other similar projects

The profile we hire at this level:

Operational Architects. You understand the physical limits of the stack. You can articulate why a system breaks at 100x load, reason about the risks of a dual-write migration strategy, and make data consistency and durability decisions with conviction.

Scale-First Thinkers. You identify risks before they surface. You think in migration paths, failure modes, and second-order architectural consequences, not just implementation details.

Technical Force Multipliers. You create leverage across teams. You challenge requirements rather than execute them, set technical direction independently, and hold a high bar for architectural clarity whether you are mentoring a struggling engineer or reviewing a design with a principal.

Systems Intuitionists. You connect operational constraints to design decisions in concrete terms. You know why fsync matters. You know how atomic operations behave under contention. You have built systems where these things were not hypothetical.

About MongoDB:

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we're powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.

To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263333185

Apply Now

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startup software developer jobs in toronto, on

Staff Engineer, Search Query Platform

Senior Assurance Solutions Architect, AWS Security Assurance Services

ISV Senior Account Manager, ISV Canada

Performance Engineer

AI Business Unit Leader - Build our new B2B SaaS Business

Sr. Enterprise Account Manager, Financial Services (Insurance)

Machine Learning Lead, Edge AI Inferencing

Digital Hardware Engineer

DevOps and Cloud Manager

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What You'll Do:

In this role, you will:

What We're Looking For:

Preferred (not required):

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About MongoDB:

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