Who we are

About the Organization 

Link is a digital wallet designed for effortless and secure online payments and digital transactions. With Link, consumers enjoy convenience and peace of mind: it works on any device or browser, is backed by the highest security mechanisms, offers purchase protections on eligible items, and ensures seamless and quick payments. Across the Link Engineering org, we focus on building delightful payment experiences and to allow our global consumer base to pay with their preferred payment methods. Our team’s work spans the entire stack from front-end experiences, to infrastructure that supports low-latency transactions, to intelligent systems that help protect consumers and merchants from bad actors.

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What you’ll do

We’re looking for engineers who want to make an impact on payments at a global scale. You’ll play a key role in expanding our product suite and the infrastructure that supports it. Our team collaborates with many cross-functional teams and many other teams across Stripe to deliver innovative solutions that address evolving user needs.

Responsibilities

• Build and design the next generation of Stripe products, to meet the high growth needs of our company and customers for years to come.
• Debug and solve critical production issues across services and multiple levels of the stack
• Mentor engineers to help them grow
• Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes
• Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 2-10+ years of industry software engineering experience (does not include internships nor includes co-ops)
• Strong coding skills in any programming language 
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

• Experience with large-scale financial tracking systems
• Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.) 

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

What it takes

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

Canada: the pay range for this role is $216,000 to $297,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

Drive the future of resilient, cloud-first database platforms powering mission-critical payment ecosystems.

The Role

We are seeking a highly skilled AppOps DBA to join our Technology & Engineering team. In this role, you will play a key part in developing, operationalizing, and supporting next-generation on-premises and cloud database solutions. You will provide technical leadership across Oracle, Exadata, and Aurora PostgreSQL platforms, helping to ensure high availability, scalability, security, and operational excellence across mission-critical environments.

Working closely with Development, QA, Platform Engineering, and AppOps teams, you will contribute to automation-led database operations, cloud transformation initiatives, and continuous performance optimization in a fast-paced, highly collaborative environment.

What You’ll Do

• Manage and optimize Oracle, PostgreSQL, Aurora, AWS RDS, and Exadata database environments to ensure performance, reliability, and availability.
• Lead database operationalization initiatives including automation, observability, resiliency, backup, recovery, replication, and disaster recovery strategies.
• Support and influence cloud migration programs from Oracle on-premises environments to AWS-based Oracle and Aurora PostgreSQL platforms.
• Implement CI/CD pipelines, Infrastructure as Code practices, and intelligent automation to streamline deployment and operational processes.
• Collaborate cross-functionally with engineering, product, and support teams while participating in rotating on-call production support activities.

What We’re Looking For

• Strong hands-on experience managing Oracle Exadata, AWS RDS, Oracle, and Aurora PostgreSQL database environments.
• Expertise in AWS technologies including EC2, S3, Aurora, Redshift, AWS DMS, and AWS Schema Conversion Tool (SCT).
• Deep understanding of database architecture, SQL tuning, PL/SQL, performance optimization, backup and recovery strategies, and high-availability design.
• Experience with DevOps methodologies, container platforms such as Kubernetes and Docker, and Infrastructure as Code tools including Terraform, CloudFormation, and Ansible.
• Excellent communication, collaboration, and technical documentation skills, with the ability to work effectively across business and technical teams.

Bonus Points For

• AWS Certified Database – Specialty certification.
• AWS Certified Data Engineer or AWS Certified Solutions Architect certification.
• Oracle Cloud or Oracle Database certifications.
• Experience mentoring technical teams and driving operational best practices.
• Previous experience supporting large-scale distributed production environments in financial services or highly regulated industries.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment.
• Retirement Savings Program – RRSP with optional employer matching contributions.
• Virtual Health Care and Employee & Family Assistance Program available to employees and dependents.
• Enhanced parental leave benefits, wellness reimbursement, and new parent support programs.
• Business Coach from Day 1 with continuous learning and development opportunities.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

#LI-hybrid

Staff Security Infrastructure Engineer, Red Team

Within the Product Security team, our Red Team delivers robust security assurance for Okta's products, services, and infrastructure.  You will be the team's dedicated infrastructure and tooling engineer, the first person in this role for a small team of operators. You will work alongside operators but not report through an operator chain; you'll collaborate as a peer focused on a different discipline.

We seek a Staff Security Infrastructure Engineer to own the engineering backbone that enables our operations. This is not a traditional operator role but a dedicated infrastructure, tooling, and automation engineering position embedded within the Red Team.  You will design, build, maintain, and continuously improve the platforms, infrastructure, and custom tooling that our operators depend on to execute engagements.

Your work directly enables the team to operate at a higher maturity level: faster infrastructure deployment, more resilient and OPSEC-aware architecture, automated workflows, and reliable custom tooling, freeing operators to focus on the mission.  Your role will also extend to cultivating stakeholder collaboration and elevating our company’s security posture through strategic engagement and proactive measures.  As the team matures, this role can evolve toward platform leadership, custom capability development, or a hybrid operator/engineer path.

What You Will Do

• Infrastructure Engineering & Automation:
• Own the full lifecycle of red team infrastructure: design, provisioning, configuration, maintenance, and teardown
• Build and maintain Infrastructure-as-Code (IaC) using Terraform (or equivalent) to automate deployment of C2 servers, redirectors, phishing infrastructure, payload-delivery systems, and supporting services.
• Resource and asset lifecycle management through tracking domains, certificates, cloud accounts, recurring expenses, and infrastructure resources; managing acquisition, rotation, and retirement.
• Tooling Development & Maintenance:
• Develop, maintain, and improve custom tools, scripts, and automation to support red team operations (e.g., payload generation pipelines, log aggregation, C2 profile management, infrastructure health checks), providing on-demand infrastructure/tooling support when issues or gaps arise.
• Collaborate closely with operators during engagement planning to understand infrastructure requirements, OPSEC constraints, and operational timelines.
• Building and maintaining a representative test environment for pre-operation validation of tools and tradecraft against a security stack similar to the target.
• Maintaining the team's source code repository with merge/pull request processes, documentation, and code quality standards.
• Ensuring engagement evidence, infrastructure logs, and operational data are centrally collected and accessible for reporting and after-action reviews.
• Contribute to and maintain metrics that demonstrate infrastructure maturity, operational efficiency, and readiness (e.g., deployment time, rebuild time, infrastructure availability during engagements).
• Security & OPSEC:
• Design infrastructure with OPSEC as a first-class requirement: network segmentation, traffic separation between operations, credential management, and access controls 
• Implement and manage secure access to red team infrastructure
• Create and update operational runbooks, infrastructure documentation, and SOPs for the team.
• Maintain clear records of infrastructure ownership and attribution to support deconfliction processes.

What You Bring

Required

• 8+ years of professional experience in infrastructure engineering, DevOps, platform engineering, or a similar role with significant automation responsibilities
• Strong familiarity with Terraform (or equivalent IaC tooling) for multi-cloud infrastructure provisioning and management
• Experience operating in cloud-native, SaaS, or identity-focused environments
• Strong proficiency with configuration management tools (Ansible, or equivalent)
• Proficiency in at least one systems programming or scripting language (Python, Go, Bash) with disciplined development practices (version control, code review, testing, documentation)
• Solid understanding of Linux systems administration, networking fundamentals (DNS, HTTP/S, TCP/IP, proxying, TLS), and cloud platforms (AWS, GCP, or Azure)
• Understanding of OPSEC principles as they apply to offensive infrastructure — you know why redirector chains, domain categorization, traffic separation, and certificate management matter.

Strongly Preferred

• Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar)
• Familiarity with containerization and orchestration (Docker, Kubernetes) as applicable to tooling and lab environments
• Familiarity with C2 frameworks (Cobalt Strike, Mythic, Sliver, or similar) from an infrastructure and deployment perspective — you don't need to operate them, but you need to understand what operators need from the infrastructure
• Familiarity with detection evasion concepts as they relate to infrastructure (e.g., traffic shaping, hosting provider reputation, certificate transparency)

Nice to Have

• Working knowledge of Blue Team operations and related technologies
• Experience with security tool development (implant development, payload engineering, evasion tooling) — this role can grow in that direction
• Familiarity with Red Team maturity models and how infrastructure/tooling capabilities map to organizational maturity 

Note: This is not an operator role. You will not be the person running hands-on-keyboard engagements as your primary function. While you may participate in operations to understand requirements or provide support, your core mission is ensuring the team's infrastructure, workflows, tooling, and automation are reliable, repeatable, and mature. You are the engineering foundation the operators build on.

#LI-TM

#LI-Hybrid

(P22302_3403905)

Role Overview 

We are seeking an accomplished Principal Engineer to lead the technical architecture and evolution of our hybrid digital ecosystem. In this pivotal role, you will drive the strategic integration of multi-modal AI into our core infrastructure while architecting an omnichannel platform capable of supporting complex customer journeys. You will balance the adoption of proven third-party AI solutions (OpenAI, Anthropic) with the development of proprietary optimizations where they deliver a competitive advantage. As a technical leader, you will champion a vendor-agnostic, ethically grounded, and Privacy by Design approach to AI implementation.

Key Responsibilities

• Infrastructure Modernization: Lead the roadmap for migrating legacy data pipelines to AI-native architectures. You will design modern data orchestration solutions utilizing Apache Airflow, dbt, and Kafka to replace outdated batch processing with real-time, event-driven flows.
• AI-Native Web Transformation: Define the web infrastructure required for a high-agility ecosystem. Architect the evolution of our Headless CMS environments (AEM, Contentful) and modern frontend frameworks to enable automated page assembly and AI-driven UI components.
• Agentic Pipeline Development: Design and build autonomous pipelines that bridge the gap between design systems, automated component development, and publishing workflows.
• ML & Data Engineering Leadership: Establish standards for RAG, vector databases, and LLM orchestration. Provide architectural guidance for the seamless integration of AI capabilities across headless and omnichannel systems while ensuring consistency, performance, and security.
• Engineering Productivity: Champion the use of AI-assisted coding and engineering productivity tools such as Claude Code and Cursor to accelerate development cycles and optimize architectural decision-making.

Required Qualifications

• Experience: 8–10 years in software engineering, specializing in SaaS platform architecture and distributed systems design.
• Leadership & Advocacy: Excellence in technical diplomacy and stakeholder influence. Proven ability to translate complex AI/Data roadmaps into business value while mentoring senior teams and advocating for architectural best practices.
• Data Orchestration: Strong hands-on experience with Apache Airflow (or similar), Kafka, and dbt to support real-time AI applications.
• AI & Web Convergence: Proven expertise integrating LLMs into production web environments with a focus on agentic workflows and autonomous UI generation.
• Architectural Vision: Deep understanding of headless CMS, composable, and event-driven patterns that allow for programmatic content and UI generation.
• Modern Delivery: Experience with cloud-native technologies (AWS/GCP, Docker, Kubernetes) and a deep expertise in data privacy frameworks and AI ethics.

#LI-Hybrid

#P24079_3413893

The Product

Okta’s Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation.

The Team

The Delegated Administration team is expanding Auth0 to help B2B SaaS applications easily manage access for their own customers and partners, at scale. We make it possible for enterprise SaaS users to log in with the right set of permissions within the right context, and for our B2B customers to onboard access for their customers easily. Our work is cross-cutting and always heavily customer driven.

We work in NodeJS (JavaScript and TypeScript) and use PostgreSQL for our data needs. Our services run on AWS and Azure and we lean heavily on containers for both our development and production needs.

If you have a keen eye for good user experiences and enjoy solving hard problems at scale we can’t wait to talk to you.

What you’ll be doing 

• Help drive architectural vision and strategy on the team to design and deliver powerful new enterprise functionality for our SaaS customers - both for the login flow itself and for Auth0’s direct and self-service management capabilities
• Identify and implement strategic technical improvements to our codebase and architecture. Orchestrate and lead major technical projects, across teams as necessary.
• Mentor and coach less experienced engineers on sound engineering practices and technical leadership. Serve as a subject matter expert on all building scalable, reliable and maintainable distributed systems.
• Work with your team, the Product Manager and Product Designer to define the look, feel and functionality of new features and review customer feedback

What you’ll bring to the role

• You bring solid architectural and security knowledge, backed by experience in designing, implementing and evolving complex distributed systems.
• You have worked on projects that required close collaboration with external teams, and have experience making those a success.
• You are a good mentor and communicator, and bring the rest of your team along for the journey. You can explain complex concepts simply in person or in a document. You know that while an engineer can write code, teams collaborate to ship successful products.
• You have solid previous experience with Node.js (JavaScript or Typescript) to build scalable backend services and creating and maintaining public and internal APIs.
• You have built frontend and full-stack apps and know what approach to use when. You know how to build SPAs, have a good understanding of React and know your way around CSS.
• You have a good understanding of SQL databases and know how to debug and optimize table and query structure for performance under load.
• You have experience with Docker and cloud environments (AWS and Azure preferred).
• You have proven experience operating services at scale with appropriate observability tools and mechanisms.

And extra credit if you have experience in any of the following! 

• Knowledge of authentication protocols such as OAuth2, OIDC, SAML.
• Understanding and experience of DevOps culture. We have infrastructure teams that build interfaces for product teams but we love working with engineers who can reason about the workings under the covers - and roll their sleeves up to write some Terraform, if need be.
• Knowledge of security engineering and application security.

#LI-Hybrid

P24570

About the Team

We build enterprise software that helps organizations optimize sales performance, enabling go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Staff Backend Engineers to join our application teams. You’ll work alongside other staff, senior, and early-career engineers to define, evolve, and scale the systems that power enterprise-grade product workflows. This is an opportunity to influence both technical direction and product direction. We are low on meetings, high on accountability. Most of the team are in EST time zone but we have a few located in AST, PST and Central as well.

What you’ll be doing

You will play a critical role in the continued evolution of our application stack. You will lead development efforts for complex backend capabilities and serve as a technical example in system design, code quality, and long-term maintainability. You’ll operate at the intersection of data modelling, business logic, and enterprise scale reliability.

As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints others may not see, and advocating for improvements that strengthen the long-term integrity of the system. We value engineers who bring forward thoughtful perspectives - even when they challenge assumptions - and who help the team see around corners.

You will:

• Design and evolve backend services that power product workflows.
• Architect data models representing hierarchical & graph structures, relationships, and large-scale enterprise datasets.
• Build deterministic, reliable systems that allow customers to reason clearly about their data.
• Drive architectural decisions that balance extensibility, performance, and operational simplicity.
• Improve observability, testing strategy, and production reliability across backend services.
• Partner closely with Product to translate nuanced business requirements into clean, scalable designs.
• Mentor engineers across levels and help raise the bar for backend engineering standards.
• Use, and demonstrate using, AI tooling to improve implementation velocity while thoughtfully investing in technical and product specifications

What We're Looking for:

• Significant experience designing and building complex backend systems in production environments.
• Demonstrated ability to surface unarticulated risks, propose alternative approaches, and advocate for architectural improvements with sound technical reasoning.
• Expertise in at least one production-grade backend language (e.g., Python, Java, Kotlin, Go, C#, etc.).
• Strong foundation in relational schema design, data modelling, and SQL.
• Experience working with hierarchical, graph-like, or relationship-heavy data structures.
• Familiarity with graph databases or graph-based modelling concepts is a strong plus.
• Excellent written and verbal communication skills.
• A track record of improving scalability, reliability, and observability in distributed or data-intensive systems.
• A desire to influence architecture and product direction - not just implement tickets.
• Thrive in a collaborative, detail-oriented environment across Engineering, Product, and Analytics.

Nice to have:

• Experience building SaaS products serving mid-market or enterprise customers.
• Experience building rule-driven systems, validation workflows, or approval/governance platforms.
• Familiarity with AWS-based infrastructure and Kubernetes.
• Exposure to Sales Performance Management (SPM), RevOps, Incentive Compensation (ICM), or related domains. ****

Technologies we use

Frontend: JavaScript, React, TypeScript

Backend: Java/Springboot, Django, Postgres

Infrastructure: AWS, Docker

What success looks like: 30/60/90 days

First 30 days

You’ll focus on building deep context across the product domain, backend architecture, and the data models that power Forma’s platform.

By the end of your first 30 days, you will have:

• Developed a strong understanding of Forma.ai’s product, customers, and sales performance domain.
• Built a clear mental model of the backend architecture, core services, and data flows across the system.
• Gained familiarity with key data models, including hierarchical structures, relationships, and workflow-driven entities.
• Set up your development environment and become comfortable navigating the codebase, services, and infrastructure.
• Learned the team’s engineering practices around testing, observability, deployment, and reliability.
• Built relationships with engineering, product, and analytics partners.
• Contributed to technical discussions, asking thoughtful questions and identifying early areas of complexity or risk.
• Shipped small but meaningful improvements or fixes to build familiarity with the system.
• Started identifying opportunities to improve data modeling, system clarity, or backend reliability.

First 60 days

You’ll begin owning meaningful backend systems and influencing technical decisions.

By the end of your first 60 days, you will have:

• Taken ownership of a significant backend component, service, or workflow.
• Designed and delivered well-structured, maintainable backend code aligned with system standards.
• Partnered closely with Product to translate complex business requirements into scalable backend designs.
• Demonstrated strong judgment in data modeling, especially around relationships, hierarchy, and workflow representation.
• Identified and surfaced architectural risks, edge cases, or inconsistencies in existing systems.
• Proposed and, where appropriate, implemented improvements to backend architecture, data models, or service boundaries.
• Contributed to improvements in observability, testing, and production reliability.
• Participated actively in code reviews and technical design discussions, raising the bar for quality and clarity.
• Begun mentoring or supporting other engineers in areas of strength.
• Built enough system context to make informed tradeoffs between performance, extensibility, and simplicity.

First 90 days

You’ll be operating as a trusted technical leader across backend systems.

By the end of your first 90 days, you will have:

• Led the design and delivery of a complex backend initiative spanning multiple services or domains.
• Introduced or significantly improved core data models, system architecture, or workflow handling.
• Demonstrated the ability to anticipate and mitigate long-term architectural risks.
• Influenced technical direction through clear, well-reasoned proposals and design decisions.
• Improved the reliability, observability, or scalability of critical backend systems.
• Established strong working relationships across Engineering, Product, and Analytics.
• Elevated engineering standards through mentorship, design reviews, and technical guidance.
• Helped the team better reason about complex, data-intensive workflows through clearer system design.
• Identified and begun executing on longer-term backend investments that improve system integrity and developer velocity.
• Demonstrated clear impact on both system quality and the team’s ability to deliver confidently at scale.

Additional Job Info:

• This position is for an existing vacancy

 Who you’ll be working with

You’ll join our fast-moving engineering team where ownership is key. You will collaborate closely with engineering leads, developers, product management, and QA while independently driving infrastructure, deployment, and system reliability initiatives.

You will be expected to take end-to-end responsibility for DevOps processes and execute effectively with minimal guidance in a high-impact environment.

What you’ll be doing

• Design, implement, and manage end-to-end CI/CD pipelines
• Build and maintain Infrastructure as Code (Terraform preferred)
• Execute and manage services in multi-cloud environments (min. 2: AWS / Azure / GCP)
• Containerize applications using Docker and orchestrate with Kubernetes
• Configure and optimize CDN, networking, and edge delivery (CloudFront, Cloudflare, etc.)
• Implement observability, logging, and monitoring systems (Prometheus, Grafana, ELK, etc.)
• Ensure security best practices (DevSecOps) across infrastructure and pipelines
• Troubleshoot production issues and drive root cause analysis independently
• Optimize systems for performance, scalability, and cost efficiency
• Automate manual processes and improve engineering productivity

What you’ll need to be successful (Requirements)

Must have skills:

• 5+ years of experience in DevOps / Platform Engineering
• 3+ years of strong hands-on experience with at least 2 cloud platforms (AWS, Azure, GCP)
• Proven experience with Terraform / Infrastructure as Code
• Deep expertise in Docker & Kubernetes
• Strong experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI)
• Solid understanding of networking, CDN, DNS, and load balancing
• Experience with monitoring & observability tools (Prometheus, Grafana, ELK, Datadog, etc.)
• Strong scripting skills (Python / Bash preferred)
• Strong understanding of security best practices (IAM, secrets, access control)
• Experience with Linux systems and production debugging

Nice to have skills:

• Relevant cloud certifications (AWS Certified Solutions Architect, Azure Administrator, Google Cloud Engineer, etc.)
• Certifications or exposure to Kubernetes (CKA/CKAD) or Terraform (HashiCorp Certified)
• Experience working in Agile environments (Scrum / Kanban)
• Experience with cost optimization practices and compliance standards (e.g., SOC 2)

Need another reason to hit the “apply” button?

• A global agency with over 200 employees, and offices in the US, UK, India and Canada. 
• A fun, diverse group of professionals that know how to have a good time on and off the job. We regularly host happy hours, dinners, excursions, and other company events to unwind after a hard day at work.  
• Offer Medical, Dental/Vision, and many more insurance types! 
• Paid Government Holidays
• An office in the heart of downtown Toronto.  
• Working hybrid for in-person collaboration and sprint-planning days

Compensation:
         $120,000-$140,000 CAD

We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

About the Cloud Payments team

Cloud Payments is part of the Cloud Billing organization. As MongoDB’s Cloud business grows, the billing and payments stack becomes increasingly mission‑critical. Our team:

• Ingests and aggregates detailed metering and usage data from internal services and major cloud providers (AWS, Azure, GCP)
• Calculates and generates daily customer bills for millions of customers worldwide
• Integrates with payment processors and internal financial systems to support Finance, Sales, Marketing, and Accounting
• Continuously improves customer-facing billing and payments experiences and the reliability and scalability of our backend systems

We’re a group of engineers who care deeply about code quality, correctness, and observability, and who are comfortable collaborating with both highly technical partners and non-technical stakeholders across the business.

The role

We’re looking for a Software Engineer 3 to help design, build, and operate the services that power Cloud Payments. You’ll work primarily in the JVM ecosystem (Java and related tooling), with a focus on large-scale, distributed systems that have to be correct, resilient, and auditable.

This is a Canada-based, fully remote role. You’ll collaborate closely with teammates and stakeholders across North America time zones, including engineers in the broader Cloud Billing organization.

What you’ll do

In this role, you will:

• Design, implement, and operate backend services that ingest, process, and reconcile large volumes of usage and billing data from internal and external systems
• Collaborate with product, Finance, Revenue, and other engineering teams to evolve our billing and payments capabilities and improve customer experience
• Own features end‑to‑end: requirements, design, implementation, testing, rollout, monitoring, and iterative improvement
• Help scale and harden our systems as Atlas and our broader Cloud business continue to grow rapidly
• Participate in architecture discussions, technical design reviews, and code reviews to keep our systems robust and maintainable
• Contribute to improving our tooling, observability, and development workflows so the whole team can move faster and safer
• Take part in an on‑call rotation that treats reliability as a team sport, not an individual burden

What we’re looking for

You may be a great fit if you:

• Have 3+ years of experience building and maintaining backend systems in a compiled language, ideally Java
• Understand core object‑oriented design principles and how to apply them to complex, evolving systems
• Have experience with distributed systems and services that need to be highly available, observable, and correct at scale
• Are comfortable working with databases (relational and/or non‑relational such as MongoDB) in production environments
• Communicate clearly and enjoy working with both technical and non‑technical stakeholders across multiple teams
• Are curious, collaborative, and motivated by solving real customer and business problems rather than just closing tickets

Nice to have (but not required):

• Experience with billing, payments, or other financial systems where correctness, auditability, and compliance really matter
• Experience with cloud platforms (AWS, GCP, Azure) and modern communication protocols like gRPC
• Familiarity with data-intensive applications, data pipelines, or data lakes
• Exposure to working with I/O frameworks like Reactor
• Experience with containerization and orchestration (e.g., Docker, Kubernetes)
• Prior exposure to MongoDB as a developer or operator

We don’t expect you to check every box. If you’re excited about the space and think you could do great work here, we’d love to hear from you.

Working model & location

• Location: Canada
• Working model: Fully remote, with colleagues primarily across North American time zones

How we’ll support you

MongoDB is committed to building a supportive, inclusive, and growth‑oriented environment for everyone on the team. Our approach to benefits and working models is designed to support your physical, emotional, financial, and family well‑being, and to give you flexibility in how you do your best work.

You’ll have opportunities to:

• Work on complex, meaningful projects that directly impact MongoDB’s Cloud business
• Learn from and collaborate with experienced engineers across Cloud Billing and other parts of MongoDB
• Grow your career through mentorship, feedback, and stretch projects aligned with your interests

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: 1273389937

About the team + role 

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

At Robinhood, Developer Productivity is the backbone that enables every engineer to deliver exceptional software; faster, safer, and at scale. We design and build the systems, platforms, and experiences that make software development seamless and reliable across the company.

We believe infrastructure should be invisible when working perfectly, intuitive, resilient, and empowering. Our mission is to eliminate friction, enhance feedback loops, and drive developer productivity through operational excellence, intelligent automation, and world-class tooling.

We’re looking for a Senior Staff Software Developer to lead the evolution of our developer experience and AI-powered engineering ecosystem. In this role, you’ll operate as a technical leader and architect across the organization, shaping strategy, defining standards, and driving large-scale initiatives that improve developer velocity, system reliability, and engineering quality.

You’ll work at the intersection of developer tooling, platform infrastructure, and AI-assisted development, pioneering how Robinhood engineers build, test, deploy, and operate software.

This role is based in our Toronto office(s), with in-person attendance expected at least 3 days per week. 

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

Technical Leadership & Architecture

• Architect and build scalable systems that enable fast, reliable delivery of full-stack applications, with a strong focus on enhancing the overall developer experience
• Set technical direction and standards for developer infrastructure across build systems, CI/CD, testing, and local development
• Lead design reviews, operational readiness, and post-incident analysis for critical developer platforms
• Leveraging AI to power the next generation development workflow

Developer Experience & Productivity

• Identify and eliminate friction across the software development lifecycle
• Build and evolve developer tooling including CLIs, configuration systems, and local/remote development environments
• Drive improvements in build systems, test automation, and deployment workflows
• Champion best practices in code quality, observability, and operational excellence

AI Tooling & Intelligent Automation

• Lead adoption of AI-assisted development tools (e.g., Copilot, Claude) across engineering teams
• Design and implement agentic workflows for development and operations (e.g., automated code generation, incident triage, root cause analysis)
• Evaluate and integrate AI agents for anomaly detection, alert correlation, and automated remediation
• Establish best practices for safe, secure, and effective use of AI in software development

Cloud, Infrastructure & Platform Systems

• Design and operate services on AWS with strong attention to scalability, cost efficiency, and security
• Lead Kubernetes-based platform improvements, including developer workflows for containerized environments
• Drive Infrastructure as Code (Terraform) strategy and adoption across environments
• Build and optimize CI/CD pipelines (e.g., Harness, Jenkins, CircleCI) with a focus on reliability and speed

Reliability & Operations

• Own non-functional requirements including availability, scalability, latency, and security
• Ensure systems are observable through metrics, logs, and alerting
• Lead incident response, postmortems, and continuous improvement efforts
• Reduce operational toil through automation and platform improvements

Cross-Functional Leadership

• Partner with Product, Platform, and SRE teams to align on long-term technical strategy
• Lead large-scale, cross-functional initiatives spanning multiple engineering teams
• Mentor senior engineers and raise the technical bar across the organization
• Contribute to a strong engineering culture centered on ownership, quality, and continuous improvement

What you bring 

• 10+ years of software engineering experience, including 3+ years operating at Staff or Senior Staff level
• Deep expertise in developer infrastructure (CI/CD, build systems, testing frameworks, dev environments, observability)
• Strong backend engineering skills with proficiency in Go, Python, or TypeScript/JavaScript
• Proven track record of leading complex, cross-functional platform initiatives at scale
• Exceptional system design skills, with a focus on reliability, scalability, and performance

Infrastructure & Platform Experience

• Experience with cloud-native technologies (Kubernetes, Docker, service discovery, distributed systems)
• Strong understanding of CI/CD systems (e.g., CircleCI, Jenkins, Harness) and release orchestration
• Experience building internal developer platforms, CLIs (preferably in Go), and productivity tooling
• Familiarity with Infrastructure as Code (Terraform) and cloud platforms like GCP

AI & Emerging Tooling

• Experience leveraging AI-assisted development tools in production environments
• Interest or experience in applying AI to developer productivity, incident management, or automation
• Ability to evaluate and safely integrate AI systems into engineering workflows

Leadership & Influence

• Strong technical leadership with the ability to influence across teams and organizational boundaries
• Excellent communication skills, with experience driving alignment across engineering and product stakeholders
• Passion for developer experience and enabling other engineers to do their best work

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

We’re looking for a Lead, Software Development to help us build and lead a high-performance team that solves challenging engineering problems as we build the next generation of social products. You will support the Senior Manager, Development to hire, grow, coach, and lead a team of developers to build, scale, monitor, and optimize our billing infrastructure working on account management, pricing and packaging, subscription lifecycle, compliance, payment processing and more. While based in Canada (in locations where we can legally hire), you will report to the Senior Manager, Software Development. 

WHAT YOU’LL DO: 

• Build, support and lead a high performance, cohesive team of developers, in close partnership with the Senior Manager, Development
• Facilitate ongoing development conversations with your team to support their learning and career growth
• Proactively share information, actively solicit feedback, and facilitate communication, within teams and portfoliosParticipate in the hiring process, with an aim of attracting and hiring the best developers
• Assess and prioritize the team's work, appropriately delegating to others and encouraging team ownership.
• Maintain high standards of security, reliability, scalability, performance, and quality in all delivered projectsHelp shape our technical roadmap as we scale our services and build new products
• Design, write, test, and deploy high quality scalable code
• Work with the following technologies: Go, Scala, PHP, Docker, Jenkins, Kafka, Redis, Cassandra in an environment that’s using NoSQL databases, Domain Driven Design, Event Sourcing, Test Driven Design and Agile

WHAT YOU’LL NEED: 

• A degree in Computer Science or Engineering, and at least 5 years of experience in designing, developing and maintaining software or an equivalent level of work experience, and a track record of substantial contributions to software projects with high business impact
• You are proficient in Go, Scala or a similar language and have a desire to learn other languages
• Understanding of distributed systems and how to work in high availability environments
• Experience with mentoring, coaching, and pairing with coworkers
• An understanding of SaaS software development practice, previous experience working on a SaaS product will be viewed favorably
• Collaboration and Teamwork: works with others to deliver results, meaningfully contributing to the team and prioritizing group needs over individual needs
• Creativity and Innovation: seeks new and better ways of doing things, generating original and imaginative ideas, products, and/or solutions
• Problem Solving: uses an organized and logical approach to find solutions to complex problems and looks beyond the obvious to understand the root cause of problems and proposes several possible solutions
• Resilience, Tolerance for Change/Ambiguity: can effectively cope with change, finding ways to advance work and projects

WHO YOU ARE:

• Tenacious. You are determined to succeed, and you are motivated by the success of customers, colleagues and the community
• Curious. You are always learning and seeking ways to make things better
• Conscientious. You keep your promises, taking your commitments to others seriously, and you have strong integrity
• Humble. You lead with humility and empathy, respecting and learning from the perspectives of others

Share our values: We champion the power of human connection. We’re united globally by our shared values of innovation, grit, humility, and passion for customer success. 

Make an impact: Working at the speed of social, we create value for our customers by delivering solutions that power relationships at scale. Our pace of work enables fast learning and fosters an environment where you can stretch yourself and make an impact.

Learn and grow: We’re committed to growing the capabilities of our people. We are building a learning community where you can work with diverse individuals, explore new ways of thinking, and expand your capabilities. Our employees are teachers and learners who work out loud and share their knowledge to enhance each other’s growth.

We are dedicated to building a diverse community, one where employees feel a sense of belonging, and are valued for their contributions and the perspectives they bring. Our purpose is to champion the power of human connection and the heart of connection is inclusion. You belong here.

Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.

#LI-NS1

About the role

Are you passionate about using data to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. 

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.
• Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
• Optimize processes for operational excellence in project management and system reliability.
• Ensure security standards are met within data systems and workflows. 
• Ensure and promote data quality standards for accurate and reliable insights.
• Embrace emerging technologies with enthusiasm.

Minimum qualifications

• 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
• Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
• Production-level development experience in Python.
• Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
• Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
• Experience with Airflow, Docker, DBT or similar analytics workflow tools.
• BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Salary Range

Toronto: the pay range for this role is $171,000 to $235,500 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About the role

Are you passionate about using data to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. 

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.
• Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
• Optimize processes for operational excellence in project management and system reliability.
• Ensure security standards are met within data systems and workflows. 
• Ensure and promote data quality standards for accurate and reliable insights.
• Embrace emerging technologies with enthusiasm.

Minimum qualifications

• 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
• Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
• Production-level development experience in Python.
• Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
• Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
• Experience with Airflow, Docker, DBT or similar analytics workflow tools.
• BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Salary Range

San Francisco: the pay range for this role is $196,000 to $269,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

---

About the CMS Registry Solution

The CMS Registry Solution powers end-to-end collateral and lien management for banks, automotive finance companies, credit unions and other lenders. The platform automates the full lien lifecycle—registration, amendment, search, monitoring and discharge—to protecting lenders, reduce risk and ensure compliance, and provides value-added features such as lien validation, asset monitoring and fraud detection.

We’re actively modernizing the platform that is mission-critical used by major financial institutions with a focus on scalability, automation, and developer experience. Current work includes containerizing services, upgrading .NET runtimes, strengthening CI/CD and observability, and adopting Infrastructure as Code—alongside pragmatic AI-assisted development and intelligent QA.

You’ll join a small, critical, high-impact support team (engineers, product owner, engineering manager) focused on keeping customer-facing systems reliable and resolving real production issues. You’ll own the operational health of key parts of the platform, contribute to incident response and reliability improvements, and help raise the quality bar through strong troubleshooting, documentation, and engineering judgment.

The Software Engineer — Support is an individual contributor responsible for maintaining the reliability, stability, and operational health of CMS services. This role focuses on hands-on execution within a single team or service area, supporting production systems and contributing to continuous operational improvement.

The role works across the full stack — Angular frontends, .NET (Core / 6+ / .NET 8) services, and SQL Server — and delivers KTLO / BAU outcomes including incident response, production troubleshooting, runbook maintenance, release and patch support, and reliability improvements under guidance.

The engineer collaborates closely with Product, Development, Platform, and Database teams to help ensure service availability, meet SLAs, and support safe change delivery.

What You’ll Do: 

Incident Management & Operations

• Support the reliability and operational health of current EC2-hosted services while assisting with incident response, monitoring, and KTLO operations during the migration to containerized deployments
• Participate in production incident response by triaging issues and contributing to resolution in line with defined SLAs
• Participate in an on-call rotation, following established escalation paths and providing after-hours support as required
• Communicate incident status and updates clearly to technical stakeholders

Monitoring, Troubleshooting & Reliability

• Monitor application and infrastructure health using tools such as New Relic, SolarWinds DPA, CloudWatch, or Datadog
• Proactively tune alerts and act on early warning signals to prevent customer impact
• Diagnose complex production issues using logs, traces, metrics, and user reports
• Apply mitigations and deliver permanent fixes in collaboration with development teams

KTLO / BAU Ownership

• Maintain and update runbooks, playbooks, FAQs, and troubleshooting documentation
• Perform KTLO activities such as scheduled maintenance, patching, backups and restores, database indexing, archiving jobs, and capacity checks
• Support releases, hotfixes, and patches, including deployment validation and production smoke testing

Continuous Improvement

• Contribute to root cause analysis (RCA) for production incidents
• Identify recurring issues and suggest operational or automation improvements
• Assist with performance investigations, including SQL query analysis, under guidance
• Adopt automation and AI-assisted tooling to reduce operational toil and improve triage efficiency

What We’re Looking For:

Must Have

• Hands-on experience with .NET and C#, including modern .NET runtimes, for production support and fixes
• Familiarity with AWS services such as EC2, S3, CloudWatch, and IAM
• Exposure to CI/CD pipelines (GitHub Actions preferred), including release support and troubleshooting
• A DevOps mindset with interest in build, deploy, operate, and improve workflows
• Working knowledge of Angular, TypeScript, and RESTful APIs, with the ability to debug issues across the stack
• Experience supporting SQL Server–based applications, including basic performance analysis and operational tasks (AWS RDS experience a plus)
• Comfort working in production environments and responding to incidents
• Interest in using AI-assisted development and intelligent QA tools to improve productivity
• Strong collaboration, communication, and ownership mindset

Nice-To-Have

• Experience with Docker and containerized applications
• Exposure to Infrastructure as Code (Terraform or CloudFormation)
• Familiarity with modern test automation tools (e.g., Playwright, Cypress)
• Prior experience in L2/L3 production support or on-call rotations

Impact You’ll Deliver:

By joining the Support team, you’ll help keep the CMS platform stable and trusted by contributing to faster incident resolution, safer releases, improved operational documentation, and the organization’s transition toward more cloud-native and automated operations.

What’s In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

• Gym discounts
• Employee and Family Assistance program
• Virtual wellness events
• Conferences & training budget
• Regular internal training programs 

Financial planning 

• Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. 

 Competitive salary 

• Annual bonus structure
• 3% CPP matching 

---

The base salary range for this position is CAD $100,000 – CAD $150,000.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.

---

About the CMS Registry Solution

The CMS Registry Solution powers end-to-end collateral and lien management for banks, automotive finance companies, credit unions and other lenders. The platform automates the full lien lifecycle—registration, amendment, search, monitoring and discharge—to protecting lenders, reduce risk and ensure compliance, and provides value-added features such as lien validation, asset monitoring and fraud detection.

We’re actively modernizing the platform that is mission-critical used by major financial institutions with a focus on scalability, automation, and developer experience. Current work includes containerizing services, upgrading .NET runtimes, strengthening CI/CD and observability, and adopting Infrastructure as Code—alongside pragmatic AI-assisted development and intelligent QA.

You’ll join a small, critical and high-impact team (engineers, product owner, engineering manager) focused on solving real customer problems with durable systems. You’ll be expected to own a major slice of the platform, lead technical execution for key initiatives, and raise the quality bar through strong engineering judgment.

What You’ll Do: 

Build & Evolve Critical Systems 

• Design and implement scalable, resilient backend and frontend services using .NET (Core / 6+ / 8), Angular, and RESTful APIs
• Lead registry modernization initiatives, including containerization of legacy .NET workloads, runtime upgrades, and improvements to deployment and operational reliability
• Contribute to data-layer improvements, focusing on performance, scalability, and operational reliability

Own Architecture & Technical Decisions 

• Drive technical design discussions and make pragmatic architectural decisions within the team
• Integrate observability, security, and performance best practices into system design
• Balance technical excellence with delivery needs when evolving existing systems

Build With an Ownership Mindset 

• Own solutions end-to-end, from design through deployment and production operation
• Establish and improve CI/CD pipelines using GitHub Actions and contribute to standardized engineering practices
• Take accountability for reliability, operational outcomes, and continuous improvement of owned systems

Collaborate & Lead 

• Collaborate closely with Product, Platform, and other engineering teams to deliver production-ready capabilities
• Mentor and support other engineers through code reviews, design discussions, and day-to-day technical leadership
• Act as a role model for strong ownership, technical quality, and constructive collaboration

What We’re Looking For:

Must Have

• Strong hands-on experience building production systems with .NET and C# (modern .NET preferred)
• Experience working with AWS services such as EC2, S3, CloudWatch, and IAM
• Proficiency in Angular, TypeScript, and RESTful API design
• Solid understanding of SQL Server and relational data modeling (managed database experience a plus)
• Comfort operating in production environments and learning from real-world feedback
• Demonstrated experience leveraging AI-assisted development and testing tools to improve productivity, code quality, and operational efficiency
• Clear communication skills and a collaborative, ownership-driven approach
• A builder’s mindset: If you can think it, you can build it. If you build it, you own it.

Nice-To-Have

• Experience with Docker, Terraform / CloudFormation, or Kubernetes-based platforms
• Background in system modernization, refactoring, or legacy platform evolution
• Experience with database performance optimization
• Exposure to AI-driven QA (e.g., Playwright, Cypress with AI integrations)

What’s In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

• Gym discounts
• Employee and Family Assistance program
• Virtual wellness events
• Conferences & training budget
• Regular internal training programs 

Financial planning 

• Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. 

 Competitive salary 

• Annual bonus structure
• 3% CPP matching 

---

The base salary range for this position is CAD $140,000 – CAD $190,000.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.

At the HelloFresh Group, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Even after celebrating our 10th anniversary, we continue to see this mission spread around the world and beyond our wildest dreams. We are now a global food solutions group and the world's leading meal kit company, active in 18 countries across 3 continents. So, how did we do it? Our weekly boxes full of exciting recipes and fresh ingredients have blossomed into a community of customers looking for delicious, healthy and sustainable options. The HelloFresh Group includes our core brand, HelloFresh, as well as other brands such as Green Chef, EveryPlate, Chefs Plate, Factor_, YouFoodz, The Pets Table, and GoodChop.

S'more about the team

The Loyalty & Virality tribe is at the heart of HelloFresh's customer retention and organic growth strategy. We build the products and systems that keep customers engaged, rewarded, and excited to share HelloFresh with others. Our teams own loyalty and rewards programs, referral systems, viral growth mechanics, and personalized re-engagement experiences — all operating at a global scale across multiple brands and markets. We combine deep product thinking with data-driven experimentation and increasingly leverage AI to deliver smarter, more personalized customer experiences. If you're passionate about building systems that turn happy customers into loyal advocates, this is the team for you.

You can get a taste of what we've been working on by checking out our tech blog.

Lettuce share what this role will be responsible for

• Design, develop, and maintain scalable and reliable back-end services, focusing on distributed architecture and microservices.
• Conduct code reviews, promoting best practices in software development, testing, and deployment.
• Analyze system performance, identify bottlenecks, and implement optimizations to ensure optimal efficiency and reliability of pricing services.
• Stay up-to-date with industry trends and emerging technologies, applying relevant advancements to improve the team’s technology stack and processes.
• Contribute to architectural discussions and decisions, providing technical guidance and insights to shape the overall direction of solution design.
  
  

Sound a-peeling? Here's what we're looking for

• Experience: Experience in software engineering, with a strong focus on back-end development and system architecture.
• Technical Skills: Proficiency in back-end technologies and programming languages (e.g., Go, Java) and a deep understanding of distributed systems and microservices architecture.
• Cloud Proficiency: Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and container orchestration tools (e.g., Docker, Kubernetes) for deploying and managing services at scale.
• Agile Methodologies: Solid experience in Agile development practices, with an ability to adapt to changing priorities and deliver high-quality results on time.
• Mentorship Skills: Strong mentorship abilities, with a passion for guiding and developing engineers while fostering a collaborative team culture.
• Analytical Mindset: Excellent analytical and troubleshooting skills, with a proactive approach to identifying and resolving technical challenges.
• Communication Skills: Effective verbal and written communication skills, capable of articulating complex technical concepts to diverse audiences and collaborating effectively with cross-functional teams.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
  
  

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

S'more about the team

The Loyalty & Virality tribe is at the heart of HelloFresh's customer retention and organic growth strategy. We build the products and systems that keep customers engaged, rewarded, and excited to share HelloFresh with others. Our teams own loyalty and rewards programs, referral systems, viral growth mechanics, and personalized re-engagement experiences — all operating at a global scale across multiple brands and markets. We combine deep product thinking with data-driven experimentation and increasingly leverage AI to deliver smarter, more personalized customer experiences. If you're passionate about building systems that turn happy customers into loyal advocates, this is the team for you.

You can get a taste of what we've been working on by checking out our tech blog.

Lettuce share what this role will be responsible for

• You will be a senior technical authority within the Loyalty & Virality tribe — setting architectural direction, driving technical excellence, and mentoring engineers across the team. This is a high-impact individual contributor role with significant influence over how we scale our referral and virality systems globally
• Define and drive the technical strategy for our referral and virality platform, ensuring systems are flexible, resilient, and scalable across all HelloFresh brands and markets
• Take end-to-end ownership of the architecture, design, development, deployment, and operations of the Share squad’s microservices
• Champion the adoption of AI in the squads and machine learning across the tribe, identifying opportunities for personalization, predictive engagement, and intelligent reward optimization.
• Be an active, solution-oriented member of an autonomous, cross-functional agile team, collaborating closely with Product Owners, Engineers, Designers, and BI teams in your direct team and across the organization
• Communicate effectively across the engineering organisation and facilitate technical alignment among stakeholders and colleagues with different interests.
• All other duties, as assigned
  
  
  

Sound a-peeling? Here's what we're looking for

• Strong experience with microservice architecture, event-driven systems (ie: Kafka, RabbitMQ), and distributed architectural patterns.
• Hands-on experience with Docker and container orchestration technologies such as Kubernetes, as well as CI/CD practices.
• Proficiency with relational and document databases, including PostgreSQL, MySQL, and/or MongoDB.
• AI proficiency and advocacy. Hands-on familiarity with AI technologies and a track record of championing their adoption, whether through AI-assisted development workflows, ML-driven product features, or leveraging LLMs to accelerate team productivity.
• Proficiency or hands-on production experience in Golang or Python
• Excellent communication skills. Interacting with frontend developers, designers, product managers, and global teams is part of the day-to-day. You can influence without authority and bring clarity to complex technical topics.
  
  
  

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
  
  

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

S'more about the team

Our New Ventures team is focused on growing our global footprint by launching our core products in new markets and expanding across multiple brands and verticals. We’re a globally distributed team operating across 7+ brands in 15+ countries, building desirable products and seamless, engaging experiences that customers haven’t seen before. With many exciting projects underway, we’re driven to generate the next billion-dollar business—so if you’re passionate about tackling bold challenges, join us!

We are a close-knit group of engineers of different stripes - developers, designers, and product owners - who are working together to solve interesting e-commerce and supply chain problems around how people eat. Sometimes, this involves implementing features to improve the user
journey and making it easier for our customers to buy amazing food. Other times, this means creating stable software solutions that keep our distribution centers running.

We are looking for an engineer to help implement solutions & write beautiful code, working with various team members as we build out our consumer facing applications & the infrastructure that supports them. As a member of our Toronto team, you’ll work with highly-skilled engineers, who in collaboration with our other global teams, have turned HelloFresh into the #1 meal delivery service in the world!

Lettuce share what this role will be responsible for

• Design, develop, and maintain scalable and reliable back-end services, focusing on distributed architecture and microservices.
• Lead the migration of critical services from a monolithic architecture to a microservices framework, ensuring seamless integration and high availability.
• Conduct code reviews and provide mentorship to junior engineers, promoting best practices in software development, testing, and deployment.
• Analyze system performance, identify bottlenecks, and implement optimizations to ensure optimal efficiency and reliability of services.
• Stay up-to-date with industry trends and emerging technologies, applying relevant advancements to improve the team’s technology stack and processes.
• Contribute to architectural discussions and decisions, providing technical guidance and insights to shape the overall direction of solution design.
  
  

Sound a-peeling? Here's what we're looking for

• Experience: Experience in software engineering, with a strong focus on back-end development and system architecture.
• Technical Skills: Proficiency in back-end technologies and programming languages (e.g., Go, Java) and a deep understanding of distributed systems and microservices architecture.
• Migration Expertise: Hands-on experience in migrating applications from monolithic architectures to microservices, demonstrating problem-solving capabilities and technical leadership.
• Cloud Proficiency: Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and container orchestration tools (e.g., Docker, Kubernetes) for deploying and managing services at scale.
• Agile Methodologies: Solid experience in Agile development practices, with an ability to adapt to changing priorities and deliver high-quality results on time.
• Mentorship Skills: Strong mentorship abilities, with a passion for guiding and developing junior/senior engineers while fostering a collaborative team culture.
• Analytical Mindset: Excellent analytical and troubleshooting skills, with a proactive approach to identifying and resolving technical challenges.
• Communication Skills: Effective verbal and written communication skills, capable of articulating complex technical concepts to diverse audiences and collaborating effectively with cross-functional teams.
• Solid hands-on experience working with AI coding agents (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents as thought partners to onboard on unfamiliar codebases and navigate new areas of the code with confidence. You have a practical sense of how the context you provide to AI tools - specifications, constraints, examples - shapes output quality, and a developing awareness of how agentic outputs can fail, with growing habits around verifying, testing, and setting boundaries on AI-generated work.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

The Opportunity

Auth0’s platform is the front door for thousands of customers and millions of users. On the Platform Engineering team, we build the resilient foundations that enable customers to rely on Auth0 for always-on authentication and authorization services.

As the Senior Manager of Data Streaming Services, you will lead the evolution of our streaming data backbone across a multi-cloud footprint. You will oversee multiple engineering teams dedicated to making data streaming seamless, reliable, and high-performance. This is a "manager of managers" role requiring a blend of strategic foresight, execution rigor, and technical grit. You will set the vision for our streaming services, mentor high-performing teams, and take accountability for our service uptime guarantees.

What you’ll achieve

• Lead a world-class team of teams. Oversee data streaming infrastructure and services that power our global platform across AWS and Azure.
• Own roadmap and execution. Partner with product and stakeholder teams to define the team's strategy and prioritized roadmap.
• Drive engineering excellence. Set high standards of quality, reliability, and operational robustness, championing best practices in software development, from code reviews to observability and incident management.
• Lead an automation-first culture. Reduce operational friction and ensure infrastructure is self-healing and code-defined. Draw efficiency from AI-assisted development.
• Act as a technical leader. Lead response on incidents for services under ownership and help teams navigate complex distributed systems failures.

What you’ll bring

• Proven engineering leadership, building and leading teams of teams. Experience coaching Staff+ engineers and engineering managers.
• Strong technical and architectural acumen. Background in building scalable, distributed systems. Comfortable participating in and guiding technical discussions.
• Strong project management skills. Expertise in creating technical roadmaps, prioritizing effectively in an agile environment, and managing complex project dependencies.
• Collaborative leadership style, adapted to remote ways of working. Excellent written and verbal communication skills to build strong relationships with stakeholders and inspire others.

Bonus Points

• Experience developing data-intensive applications in a modern programming language such as go, node.js, or Java.
• Experience with databases such as PostgreSQL and MongoDB.
• Experience with distributed streaming platforms like Kafka.
• Familiarity with concepts in the IAM (Identity and Access Management) domain.
• Experience with cloud providers (AWS, Azure), container technologies such as Kubernetes and Docker, and observability tools such as Datadog.
• Experience building reliable, high-availability platforms for enterprise SaaS applications.

#LI-Hybrid

P15407_3389736

The Streaming Foundations team builds services and operates data pipeline infrastructure to support event streaming, messaging, and analytics use cases. We are looking for a Software Engineer who is passionate about distributed systems, platform engineering, and solving data-intensive problems at scale. In this high-impact role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Auth0 to scale for years to come.

What you’ll be doing

• Help set the technical direction for the team and influence the engineering roadmap for the Platform’s streaming capabilities
• Design and lead the implementation of our most complex and critical systems for data-intensive use cases.
• Research and champion new technologies and architectural patterns to solve strategic challenges and scale the platform.
• Lead and influence cross-functional initiatives, ensuring technical alignment and successful execution across multiple teams.
• Improve the operational posture of our systems by designing for observability, reliability, and scalability, and by mentoring others in operational best practices.
• Coach and mentor senior engineers and act as a technical leader across the engineering organization.

What you’ll bring to our teams

• 5+ years of software development experience in a fast-paced, agile environment
• Experience working with Golang or Java is preferred
• Hands-on experience designing, developing and tuning highly-scalable, event-driven systems
• Solid understanding of database fundamentals and experience with event streaming technologies such as Kafka
• A passion and interest to work on systems that are highly reliable, maintainable, scalable and secure.

Extra points

• Experience with front-end technologies such as TypeScript and React
• Familiarity with cloud providers (AWS, Azure) and container technologies such as Kubernetes, Docker
• Familiarity with or interest in the Identity and Access Management (IAM) business domain

#LI-REMOTE

#LI-SH1
P24750_3365759

We are looking for a Staff Software Engineer to join our high-caliber Extensibility Engineering team to help us continue to improve our ultra-low latency, secure, and scalable platform for untrusted code execution. In this role, you will have the opportunity to significantly contribute to the foundation of the Customer Identity Ecosystem, realizing a huge impact for our customers and partners.

As a member of Developer Experience - Extensibility, you will: 

• Lead, Design, architect, and document large-scale projects using technologies such as  Node.js, Golang, MongoDB, PostgreSQL, AWS, Azure, and Kubernetes.
• Mentors others by coaching and delegating responsibilities to others. Collaborates with Engineering Manager on buy-in and direction.
• Contribute to improving Auth0's architecture, performance, observability, security controls, and best practices.
• Collaborate with Product and Security teams to define and continually improve Auth0’s Extensibility platform and architecture.
• Participate in our on-call rotations for troubleshooting production issues.

Key Qualifications:

• 8+ years of experience in software development building distributed systems (Node.js and/or Go).
• Strong experience in API-driven applications using REST and/or gRPC.
• Experience with packaging and distributing containerized applications using Docker and Kubernetes.
• Experience with sandboxing untrusted code or tenant isolation (both preferred but not required).
• A high bar for both code quality as well as quality of user experience.
• Proven ability to collaborate with others to drive initiatives forward.

Nice To Haves:

• Frontend application development in React/Angular (or other JavaScript frameworks) is a plus.
• An understanding of evergreen infrastructure and CI/CD best practices

#LI-HYBRID

#LI-SH1
P20120_3431986

Okta Workflows is the secure, no-code automation platform that empowers organizations to build identity-centric workflows across cloud applications — all without writing code. Our intuitive drag-and-drop interface allows enterprises to automate complex business processes at scale, enhancing productivity, enforcing security, and simplifying IT operations.
Customers like Netflix, MGM, and NTT rely on Workflows to automate high-impact identity scenarios with speed and confidence.

As we continue to scale, we’re investing in extensibility, developer experience, and performance. Join us to help shape the future of cloud automation and low-code development.

Position Description

We’re hiring a Staff Full-Stack Engineer to join the Integration Builder team within Okta Workflows. This team owns the core no-code surface that enables both internal teams and third-party developers (ISVs) to build powerful integrations and automation experiences with ease.

As a Staff Engineer, you’ll lead initiatives that span front-end and back-end services — delivering performant, secure, and scalable features. You’ll help define architecture, drive implementation, and collaborate closely with Design, PM, and Platform teams. You’ll also work directly with our technical architects to help shape what we build — and how we build it. This is a high-impact role in a growing, strategic product area with strong executive visibility.

Role Details:

• Design, build, and maintain end-to-end features using modern JavaScript and cloud-native technologies (React, Node.js, TypeScript, PostgreSQL).
• Lead technical design for key initiatives, driving quality, scalability, and maintainability.
• Build reusable and performant UI components for a best-in-class no-code builder experience.
• Own services throughout their lifecycle — including implementation, testing, deployment, observability, and incident response.
• Work closely with Product, Design, and Architecture to define the “what” and “how” of features, ensuring solutions are both user-friendly and technically sound.
• Partner with infrastructure and platform teams to optimize system performance and reliability
• Mentor and support engineers across the team, fostering a culture of quality, ownership, and continuous improvement.
• Contribute to cross-functional planning, architectural reviews, and team-wide engineering practices.

Experience: 

• 6+ years of experience building modern web applications in a full-stack environment.
• Deep expertise in TypeScript, ReactJS, and Node.js (Express or similar frameworks).
• Experience designing APIs, working with relational databases (PostgreSQL or similar), and building services in a distributed, cloud-based architecture.
• A strong product mindset — you work well with Product and Design and care about delivering intuitive and elegant user experiences.
• Ability to collaborate closely with Architects to make smart technical tradeoffs, and drive alignment across teams.
• Passion for craftsmanship and high engineering standards (testing, monitoring, documentation, scalability).
• Excellent communication skills, with the ability to lead technical discussions and build consensus across functions.
• A growth mindset and interest in mentoring others and upleveling the team.

Nice to Haves:

• Experience with PostgreSQL, Docker, and Kubernetes.
• Exposure to low-code/no-code tools, workflow engines, or visual development platforms.
• Interest in AI-assisted developer tooling or automation.

Education and Training:

• Bachelor's in Computer Science, or relevant industry experience

#LI-TM

#LI-Hybrid

P7345_3197405

The Streaming Foundations team builds services and operates data pipeline infrastructure to support event streaming, messaging, and analytics use cases. We are looking for a Software Engineer who is passionate about distributed systems, platform engineering, and solving data-intensive problems at scale. In this high-impact role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Auth0 to scale for years to come.

What you’ll be doing

• Writing maintainable, efficient code using proven patterns to solve complex problems
• Lead the design and development of highly scalable services for data-intensive use cases
• Evaluate and advocate for modern technologies to accelerate value delivery and improve engineering efficiency
• Carry cross-team initiatives from end to end: code reviews, design reviews, operational robustness, security hygiene, etc
• Participate in team’s on-call rotation to build operational excellence on services we support
• Coach and mentor engineers to help scale up the engineering organization

What you’ll bring to our teams

• 3-5 years of software development experience in a fast-paced, agile environment
• Experience working with Golang or Java is preferred
• Hands-on experience designing, developing and tuning highly-scalable, event-driven systems
• Solid understanding of database fundamentals and experience with event streaming technologies such as Kafka
• A passion and interest to work on systems that are highly reliable, maintainable, scalable and secure.

Extra points

• Experience with front-end technologies such as TypeScript and React
• Familiarity with cloud providers (AWS, Azure) and container technologies such as Kubernetes, Docker
• Familiarity with or interest in the Identity and Access Management (IAM) business domain

#LI-REMOTE

#LI-SH1
P24754_3365760

Awesome tech is made by awesome people, and we’re always looking for new team members who bring energy, passion, commitment, and collaboration. These qualities have made Okta the great company it is today.

So, what do we build exactly? Auth0 is an authentication and authorization platform designed by developers for developers. Basically, we make users' logins safe, secure, and seamless. Our mission is to secure the world’s identities so innovators can innovate, but it’s a big mission that requires a lot of teamwork.

We are looking for a Senior Software Engineer to join our high-caliber Extensibility Engineering team to help us continue to improve our ultra-low latency, secure, and scalable platform for untrusted code execution. In this role, you will have the opportunity to significantly contribute to the foundation of Auth0's Ecosystem, realizing a huge impact for our customers and partners.

As a member of Developer Experience - Extensibility Platform, you will: 

• Design, architect, and document large-scale distributed systems.
• Implement features across different layers of the stack using technologies such as Go, MongoDB, PostgreSQL, AWS, Azure, and Kubernetes.
• Lead team discussions, mentor other engineers to become senior and improve the team’s productivity.
• Contribute to improving Auth0's architecture, performance, observability, security controls, and best practices.
• Collaborate with Product and Security teams to define and continually improve Auth0’s Extensibility platform and architecture.
• Participate in our on-call rotations for troubleshooting production issues.

Key Qualifications:

• 5+ years of experience in software development, building distributed systems using Go.
• Strong experience in API-driven applications using REST and/or gRPC.
• Experience with packaging and distributing containerized applications using Docker and Kubernetes.
• Experience with sandboxing untrusted code or tenant isolation (both preferred but not required).
• A high bar for both code quality as well as quality of user experience.
• Proven ability to collaborate with others to drive initiatives forward.

Nice To Haves:

• Solid hands-on experience with Node.js in building scalable backend services

#LI-HYBRID

#LI-SH1
P-3247_3396333

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Auth0 provides an unparalleled authentication experience for hundreds of millions of users worldwide. Our commitment to reliability is a key foundation of our product and our dedication to exceeding customer availability expectations is a core engineering focus. As a Senior Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness. You'll be a hands-on builder, crafting solutions that make our system more reliable by design.

What you’ll do:

• Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.
• Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services.
• Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions.
• Contribute to our on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues.
• Develop and refine our SRE tooling and processes, focusing on automation and operational efficiency.
• Define, document, and champion reliability best practices across the organisation.

What you'll need to be successful:

This role requires a unique blend of a software engineer's mindset and operational expertise. You'll thrive in this role if you have:

• A proactive and systematic approach to problem-solving, with a high degree of ownership.
• Proven experience in a production environment supporting large-scale, mission-critical applications with a high degree of autonomy.
• Proficiency in at least one programming language, with a preference for Go. You should be comfortable writing custom applications, not just scripts.
• Experience with infrastructure as code (Terraform), container orchestration (Kubernetes, Docker) and GitOps (ArgoCD).
• Demonstrable expertise in a major cloud provider (Azure, AWS, or GCP).
• A strong grasp of microservices architecture, databases (SQL, NoSQL), and networking fundamentals, so you can understand how custom code can solve platform-level issues.
• An understanding of core SRE principles, including SLIs, SLOs, and error budgets.
• Experience in an on-call rotation for a 24/7 cloud-based environment.
• Exceptional communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team, where tasks may be self-driven.

We're looking for someone who is not just looking for a job, but a career-defining opportunity to tackle complex challenges at a massive scale. If you're a curious and motivated engineer who's passionate about building reliability directly into the platform, we'd love to hear from you.

P-1398_3407428

#LI-Hybrid

#LI-EZ1

#LI-Hybrid

P15407_3389736

Okta Workflows is the foundation for secure integration between cloud services. By harnessing the power of the cloud, Okta allows people to quickly integrate different services, while still enforcing strong security policies. It integrates directly with an organization’s existing services, such as directories and identity systems, as well as many other applications.

With Okta Workflows, organizations can implement workflows quickly, easily, at a large scale, and low total cost. Hundreds of customers, including NTT, and MGM, trust Okta Workflows to help their organizations work faster, boost revenue, and stay secure.

Position Description: We are looking for a Principal-level engineer who is passionate about building and evolving the developer productivity ecosystem used by the entire Workflows Engineering organization.

As a productivity engineer, you’ll work with both our Engineering and Site Reliability teams, owning our developer CLI (Golang) and Kubernetes tooling, automated release processes, and CI/CD systems in CircleCI.

Job Duties and Responsibilities:

• Collaborate with the SRE and Engineering teams to manage, extend, and enhance existing developer productivity and platform tooling for local and remote Kubernetes environments
• Own and optimize CI/CD pipelines in CircleCI
• Assist in weekly release orchestration
• Automate and improve processes via Golang tooling and Okta Workflows

Minimum Required Knowledge, Skills, and Abilities:

• 10+ years of deep understanding of software engineering processes, agile framework, tools (e.g.: programming proficiency in a language, preferably Go or similar compiled language), methods, test development, algorithms, and data structures
• Experience with Cloud Native Technologies(Kubernetes, ArgoCD, Crossplane, Docker)
• Passionate about learning new technical ecosystems 
• Interested in working with container deployment and orchestration technologies at scale, with familiarity of the fundamentals to include service discovery, deployments, monitoring, scheduling, and load balancing

Preferred Qualifications:

• Experience with CI/CD Systems (such as CircleCI or Github Actions)
• Experience with development and deployment in a hosted cloud environment, preferably AWS

Education and Training: BS, MS, or PhD in Computer Science or related field

#LI-TM 

#LI-Hybrid 

P20683

Tenstorrent’s Metal Infra team is all about developer happiness—internal and external. As a Release Engineer Intern, you’ll help automate, maintain, and improve the systems behind our open-source Metal stack (tt-metal on GitHub). From CI pipelines to dashboards and build systems, your work will help teams ship faster and smarter.

This role is hybrid, based out of Toronto.

Who You Are:

• Working toward a CS or Engineering degree (or equivalent experience).
• Comfortable writing clean, reusable Python or C++ code.
• Familiar with CI/CD tools and container tech like Docker.
• Detail-oriented, team-minded, and eager to automate the boring stuff.

What We Need:

• Build and maintain automation tools for build, test, and deploy pipelines.
• Collaborate with dev teams to improve delivery workflows and reliability.
• Support monitoring, dashboards, and metrics to drive better decisions.
• Troubleshoot build and release issues and help prevent them long-term.

What You Will Learn:

• How modern CI/CD pipelines power high-performance hardware-software development.
• Infrastructure automation in a hybrid, multi-platform environment.
• Real-world incident response, debugging, and continuous delivery best practices.
• How open-source tools and internal systems come together in production environments.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Overview: 

Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. 

This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. 

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto. 

What You'll Do 

• Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. 

• Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS). 

• Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction. 

• Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants. 

• Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring. 

• Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs. 

• Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards. 

• Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings. 

 What You'll Bring 

• Experience: A Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI. This must include a proven track record of designing, building, and scaling distributed, production-grade systems. 

• Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments. 

• Cloud & Infrastructure Proficiency: Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm). 

• Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini. Direct experience with modern LLM patterns such as retrieval-augmented generation (RAG), hybrid search using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering is required. 

• AI System Design and Evaluation: Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring for performance and drift. 

• Large-Scale Data Processing: Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark). 

• Familiarity with the Modern AI Stack: Practical experience with libraries and frameworks like LangChain or LlamaIndex for building LLM-powered applications. 

• Leadership and Mentorship: Demonstrated ability to lead complex technical projects and foster the growth of other engineers. 

What We Offer:  

The annual base salary range for this position is $135,000 - $210,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits: 

• Paid Time Off 

• Comprehensive benefits plan 
• Company RRSP Match 
• Development opportunities through the LinkedIn Learning platform 

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. 

Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. 

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-SP1

#LI-Hybrid

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 

We are seeking a talented Software Engineer to join our dynamic Streaming Compute Team. In this role, you'll be instrumental in designing, developing, and maintaining our low latency and high throughput systems, which are critical to a lot of teams like driver, mapping, fraud etc. and almost all ML models at Lyft. Our systems and platform are used for a variety of use cases such as, persisting high volume service events, detecting issues with routes, computing prime-time, creating, storing and serving ML features for training and inference purposes for teams like payments, incentives etc. The majority of our streaming solutions run on Apache Flink and Apache Beam with support from reading and writing to various sources and sinks respectively.

As a Software Engineer,  you will lead the team’s projects and initiatives seeing them to completion. You will be responsible for key systems and components within the team. You will identify and lead the efforts in improving architecture and operations for the team.

We are looking for candidates who have prior experience with near-real-time streaming systems, are self-starters, and have a proven track record of delivering high-quality software solutions that solve critical business needs. The candidate should be able to dive deep into problems with lots of ambiguity, leading architectural design and building robust, well-tested technical solutions. They should be willing to take complete ownership of a project or a feature, able to drive it from design and implementation through to operational excellence, while also mentoring others, improving team engineering practices, and collaborating effectively with partners.

Responsibilities:

• Design, develop, deploy, monitor, operate and maintain scalable streaming solutions that constitute our streaming platform
• Work with technologies such as Apache Kafka, Flink, Beam etc.  to enhance our data platform's streaming offerings
• Collaborate with cross-functional teams to integrate streaming solutions into the broader data architecture
• Analyze our internal systems and processes and locate areas for improvement/automation
• Collaborate with product org stakeholders to address and prioritize custom edge cases
• Help lead large projects from inception to positive execution
• Operate a real-time streaming platform with high availability and low downtime to meet the demands of latency-sensitive workloads.

Experience:

• 5+ years of experience with building, deploying and maintaining low latency, high throughput services
• 5+ years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies
• 3+ years of software engineering industry experience and with distributed streaming solutions like Apache Flink, Beam, Spark streaming, Streaming SQL etc.
• Experience working with Kubernetes and container technologies (e.g. Docker, cri-o, etc)
• Familiar with a cloud-based environments such as AWS/GCP/Azure

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Marketplace teams are at the heart of our products and decision-making. We’re looking for passionate, driven engineers to build systems that empower our users (both Drivers and Riders) to make the most effective use of Lyft’s products and experiences by making them more predictive, personalized, and adaptive. We’re looking for someone who is passionate about solving problems with distributed computing, ML, data alongside building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment.

As a Software Engineer, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance the platform offerings. Your work will have a major impact on several areas of the business.

We are looking for candidates who are self starters and have a proven track record of delivering software solutions that can solve critical business needs. The candidate should be able to dive deep into any problems with lots of ambiguity and build a technical solution to solve it. They should be willing to take ownership of a project or a feature and be able to drive it from design to implementation.

The Growth Platforms team owns both the Incentives & Messaging systems for Lyft. These systems determine & send the right messaging and/or incentives to the right user at the right time. We work with lyft-wide engineering teams including rider & driver side, marketing, and product management to adapt our services and the platform offerings to be able to enable growth across Lyft. You will gain comprehensive knowledge of Lyft's internal services and operations and adapt them to meet the growth needs. You will have the opportunity to improve the quality and efficiency by having optimizations via machine learning models to perform decisions at various critical aspects of the platform. 

Responsibilities:

• Design, develop, deploy, monitor, operate and maintain existing or new elements of our systems and infrastructure
• Collaborate with engineers and partners in science & product to drive projects from inception, specification, execution, or to launch
• Build and operate large-scale distributed systems
• Help establish roadmap and architecture based on technology and our needs
• Analyze our internal systems and processes and locate areas for improvement / automation
• Write well-crafted, well-tested, readable, maintainable code
• Unblock, support and communicate with internal partners to achieve results
• Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices

Experience:

• 3+ years of software engineering industry experience
• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
• Experience in backend software development of large-scale distributed systems, and/or experience with data infrastructure
• Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms, etc)
• Experience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)
• Familiar with using Python and cloud-based environments such as AWS/GCP/Azure
• Experience with AI/ML like Model integration or using ML frameworks will be a plus

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

As a Data Engineer on the Mapping team, you will collaborate with our world class team of engineers, product managers, and data scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will architect, build, and maintain scalable data pipelines and services to support route simulation, experimentation, analytics, and machine learning models. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability.

Our technology stack is based on the latest technologies such as AWS, Kubernetes and Apache Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers.

Responsibilities

• Owner of the core data pipelines in mapping, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Develop strong subject matter expertise in the systems you manage, setting and managing SLAs for both data pipeline and datasets
• Continuously evolve data models and schemas to meet business and engineering requirements
• Develop tools that support self-service management of data pipelines (ETL), schema evolution, and perform SQL tuning to optimize data processing performance
• Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
• Conduct code reviews to uphold code quality standards and facilitate knowledge sharing
• Participate in on-call rotations to maintain high availability and reliability of data workflows
• Unblock, support and communicate with internal & external partners to achieve results

Experiences

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• 4+ years of relevant professional experience
• Strong experience with Spark and with a scripting language (Python, Ruby, Bash)
• Exceptional analytical skills, with an in-depth understanding of data quality issues and the ability to dive into complex datasets to resolve inconsistencies
• Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences while collaborating effectively across teams
• Experience with disparate database, querying and streaming technologies such as S3, DynamoDB, HDFS, Hive, Presto, Pig, HBase, Parquet, Iceberg, Flink, Spark Streaming, Kafka
• Experience with data quality tools such as Great Expectations, dbt, Monte Carlo, Soda, Collibra
• Strong understanding of SQL Engine, experience with querying geospatial data, and able to conduct advanced performance tuning
• Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
• Experience with workflow management tools (Airflow, Oozie, Azkaban, UC4, Prefect)
• Experience with infra tooling (Terraform, Cloud Formation, Docker, Kubernetes, Ansible, Chef, Puppet etc preferably in an AWS context) 
• Experience defining API schemas and developing backend services in a microservices environment

Benefits

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

This is a hybrid position, currently requiring two days per week onsite at our office located at 2 Queen St. E in Toronto.

The Role

TripArc connects travel advisors to a broad network of supplier content, including tours, activities, and experiences sourced through Destination Management Companies (DMCs). DMCs are specialist operators that curate and deliver local experiences in a given destination — think guided tours, transfers, excursions, and curated itineraries. TripArc aggregates content from multiple DMC suppliers through a centralized integration layer, normalizing supplier data into a consistent format that advisors can search, quote, and book through the platform.

We’re looking for a senior developer who thrives on autonomy and wants to make a real impact. You’ll join our Technology team at TripArc, where you’ll tackle the challenge of modernizing a mature travel platform - decomposing legacy .NET systems into Azure-native microservices while keeping the business running smoothly.

This isn’t a role where you’ll wait for detailed specifications. You’ll own problems end-to-end: digging into complex business logic in existing codebases, designing solutions that bridge legacy and modern architectures, and shipping code that serves thousands of travel professionals daily. Some days you’ll be untangling decade-old stored procedures and intricate SQL schemas; others you’ll be architecting event-driven services on Azure. We need someone who finds that variety energizing.

You’ll work within our Agile framework - two-week sprints, daily stand-ups - but we expect you to drive your own work: collaborating directly with QA, Product, and stakeholders; pushing back when needed; and helping teammates grow. Documentation matters here; we use JIRA and Confluence extensively, and your tickets and design docs should be clear enough that anyone can pick up where you left off.

Key Responsibilities

• Develop well-tested, integrated software that meets high development standards - yours and ours.
• Evaluate new functionality requests on a value scale, contributing technical insights to prioritization decisions.
• Actively participate in team meetings and offer recommendations and ideas on design projects.
• Mentor intermediate and junior developers, helping them grow through code reviews and hands-on collaboration.
• Work with Product Managers and architects to estimate, plan, test, integrate, and deliver complex, scalable software.
• Create design documents and documentation to ensure efficient maintenance and knowledge continuity.
• Communicate effectively with key partners and internal users regarding timelines, technical issues, and infrastructure integration.
• Explore and make recommendations based on current trends, techniques, and technologies that could positively impact our platform.

What You’ll Do

• Design, build, and deploy features across our stack - from legacy .NET Web Forms and complex SQL schemas to modern .NET Core microservices running on Kubernetes in Azure.
• Lead migration efforts: decomposing monolithic components into loosely coupled microservices while maintaining system reliability and continuity for live clients.
• Write and optimize complex T-SQL queries and stored procedures; navigate and evolve our large, intricate database schemas. Use MongoDB for document storage where appropriate.
• Build and maintain event-driven integrations using NServiceBus and Azure Service Bus.
• Own deliverables through the full lifecycle: design, implementation, testing, Azure Pipelines deployment, and production support.
• Contribute to architectural decisions and establish patterns the broader team can adopt, particularly around microservices decomposition and Azure-native services.
• Support fellow developers through code reviews, pair programming, and knowledge sharing -elevating the whole team.
• Maintain clear documentation in Confluence and keep JIRA tickets updated so the team has full visibility into progress and blockers.
• Collaborate with Product and QA to scope work, estimate effort, and balance priorities within sprint commitments.

What We’re looking for

Must have:

• Demonstrated experience mentoring, coaching, or leading developers in a collaborative team environment.
• 5+ years of hands-on experience with C# and the .NET ecosystem, including both .NET Framework (legacy) and .NET Core.
• Strong SQL Server expertise - you’re comfortable writing and optimizing complex T-SQL queries, stored procedures, and working confidently within large, intricate legacy database schemas.
• Genuine experience with legacy codebases and a pragmatic approach to modernization - you see old code as a puzzle to solve, not a burden to complain about.
• Solid understanding of microservices architecture patterns and decomposition strategies for migrating from monolithic .NET applications.
• Experience building and consuming RESTful APIs and working with Entity Framework or similar ORMs.
• Working knowledge of Docker, Kubernetes, and Azure Cloud - you don’t need to be a DevOps engineer, but you can navigate and deploy within our Azure environment.
• Exposure to CI/CD pipelines, ideally Azure Pipelines.

Nice to have:

• Angular (2+) experience is strongly preferred. Exposure to legacy .NET Web Forms with HTML/JS is a plus.
• Familiarity with message-based architectures; NServiceBus or Azure Service Bus experience preferred.
• MongoDB experience is a plus.

How You Work

• You take initiative. When you see a problem, you investigate it. When requirements are ambiguous, you ask the right questions or make reasonable assumptions and move forward.
• You communicate clearly - whether explaining a technical trade-off to a Product Manager, documenting a design decision, or helping a junior developer work through a problem.
• You’re comfortable with ambiguity and can make progress without every detail spelled out.
• You balance speed with quality, knowing when to optimize and when “good enough” actually is good enough.
• You write documentation you’d want to read - because you know future-you (or your teammate) will thank you.

Our Technology

Our platform runs on Azure Cloud, and we're actively modernizing our architecture. Here's what you'll work with:

• Backend: .NET Core microservices alongside legacy .NET Framework applications. We've built proprietary libraries on top of the framework for our internal use. Entity Framework for data access.
• Data: SQL Server (complex schemas, heavy use of stored procedures) and MongoDB for document storage. Azure Data Factory for data orchestration.
• Messaging: NServiceBus and Azure Service Bus for event-driven communication between services.
• Infrastructure: Docker containers orchestrated with Kubernetes, deployed through Azure Pipelines. Git repos for version control.
• Frontend: Angular 17+ with Angular Material, plus legacy .NET Web Forms.
• Tools: JIRA and Confluence for project management and documentation. VS 2022, VS Code, or Rider - your choice.
• AI Tools: GitHub Copilot for AI-assisted development, and Claude, including Claude Code.
• Other: Redis for caching, GraphQL in select services.

Why This Role

You'll have real influence over how we modernize our platform. This isn't a "maintain the status quo" position - we're actively rearchitecting systems, and you'll help shape those decisions.

You'll work with a team that values pragmatism over dogma, where the goal is shipping software that works for our users, not chasing trends for their own sake.

Who Thrives Here

• People who take ownership - of their code, their commitments, and the outcomes.
• Developers who’d rather figure something out than wait to be told what to do.
• Those who see legacy code as a puzzle to solve, not a burden to complain about.
• Team players who make everyone around them better, not just themselves.
• People comfortable in a fast-paced environment where priorities sometimes shift.

Our Culture

We converted to Agile a few years ago and are now a fully enabled Agile department that prioritizes work based on the value it brings to our clients. During each two-week sprint, our developers plan, write, test, integrate, and bug fix while collaborating with skilled Business Analysts, UX designers, and product resources dedicated to the team.

We hire problem solvers, not just technicians. We look for self-motivated individuals with diverse backgrounds who can use the best tool for the job, contribute new ideas, and help bring them to life. Our team is made up of owners: people who are smart, low ego, and accountable for their results. If you want a role with real autonomy, interesting technical challenges, and the chance to shape how a platform evolves, we’d like to hear from you.

Compensation

We provide a competitive compensation package with a strong pay-for-performance rewards approach. Employees have the opportunity to participate in incentive programs and compensation tied to business and individual performance. The expected compensation range for this position is: $110,000 to $120,000.

The actual compensation may vary depending on local market conditions, geography, and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training.

#LI-Hybrid

We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application.

This is a hybrid position, currently requiring two days per week onsite at our office located at 2 Queen St. E in Toronto.

The Role

TripArc connects travel advisors to a broad network of supplier content, including tours, activities, and experiences sourced through Destination Management Companies (DMCs). DMCs are specialist operators that curate and deliver local experiences in a given destination — think guided tours, transfers, excursions, and curated itineraries. TripArc aggregates content from multiple DMC suppliers through a centralized integration layer, normalizing supplier data into a consistent format that advisors can search, quote, and book through the platform.

We’re looking for a senior developer who thrives on autonomy and wants to make a real impact. You’ll join our Technology team at TripArc, where you’ll tackle the challenge of modernizing a mature travel platform - decomposing legacy .NET systems into Azure-native microservices while keeping the business running smoothly.

This isn’t a role where you’ll wait for detailed specifications. You’ll own problems end-to-end: digging into complex business logic in existing codebases, designing solutions that bridge legacy and modern architectures, and shipping code that serves thousands of travel professionals daily. Some days you’ll be untangling decade-old stored procedures and intricate SQL schemas; others you’ll be architecting event-driven services on Azure. We need someone who finds that variety energizing.

You’ll work within our Agile framework - two-week sprints, daily stand-ups - but we expect you to drive your own work: collaborating directly with QA, Product, and stakeholders; pushing back when needed; and helping teammates grow. Documentation matters here; we use JIRA and Confluence extensively, and your tickets and design docs should be clear enough that anyone can pick up where you left off.

Key Responsibilities

• Develop well-tested, integrated software that meets high development standards - yours and ours.
• Evaluate new functionality requests on a value scale, contributing technical insights to prioritization decisions.
• Actively participate in team meetings and offer recommendations and ideas on design projects.
• Mentor intermediate and junior developers, helping them grow through code reviews and hands-on collaboration.
• Work with Product Managers and architects to estimate, plan, test, integrate, and deliver complex, scalable software.
• Create design documents and documentation to ensure efficient maintenance and knowledge continuity.
• Communicate effectively with key partners and internal users regarding timelines, technical issues, and infrastructure integration.
• Explore and make recommendations based on current trends, techniques, and technologies that could positively impact our platform.

What You’ll Do

• Design, build, and deploy features across our stack - from legacy .NET Web Forms and complex SQL schemas to modern .NET Core microservices running on Kubernetes in Azure.
• Lead migration efforts: decomposing monolithic components into loosely coupled microservices while maintaining system reliability and continuity for live clients.
• Write and optimize complex T-SQL queries and stored procedures; navigate and evolve our large, intricate database schemas. Use MongoDB for document storage where appropriate.
• Build and maintain event-driven integrations using NServiceBus and Azure Service Bus.
• Own deliverables through the full lifecycle: design, implementation, testing, Azure Pipelines deployment, and production support.
• Contribute to architectural decisions and establish patterns the broader team can adopt, particularly around microservices decomposition and Azure-native services.
• Support fellow developers through code reviews, pair programming, and knowledge sharing -elevating the whole team.
• Maintain clear documentation in Confluence and keep JIRA tickets updated so the team has full visibility into progress and blockers.
• Collaborate with Product and QA to scope work, estimate effort, and balance priorities within sprint commitments.

What We’re looking for

Must have:

• Demonstrated experience mentoring, coaching, or leading developers in a collaborative team environment.
• 5+ years of hands-on experience with C# and the .NET ecosystem, including both .NET Framework (legacy) and .NET Core.
• Strong SQL Server expertise - you’re comfortable writing and optimizing complex T-SQL queries, stored procedures, and working confidently within large, intricate legacy database schemas.
• Genuine experience with legacy codebases and a pragmatic approach to modernization - you see old code as a puzzle to solve, not a burden to complain about.
• Solid understanding of microservices architecture patterns and decomposition strategies for migrating from monolithic .NET applications.
• Experience building and consuming RESTful APIs and working with Entity Framework or similar ORMs.
• Working knowledge of Docker, Kubernetes, and Azure Cloud - you don’t need to be a DevOps engineer, but you can navigate and deploy within our Azure environment.
• Exposure to CI/CD pipelines, ideally Azure Pipelines.

Nice to have:

• Angular (2+) experience is strongly preferred. Exposure to legacy .NET Web Forms with HTML/JS is a plus.
• Familiarity with message-based architectures; NServiceBus or Azure Service Bus experience preferred.
• MongoDB experience is a plus.

How You Work

• You take initiative. When you see a problem, you investigate it. When requirements are ambiguous, you ask the right questions or make reasonable assumptions and move forward.
• You communicate clearly - whether explaining a technical trade-off to a Product Manager, documenting a design decision, or helping a junior developer work through a problem.
• You’re comfortable with ambiguity and can make progress without every detail spelled out.
• You balance speed with quality, knowing when to optimize and when “good enough” actually is good enough.
• You write documentation you’d want to read - because you know future-you (or your teammate) will thank you.

Our Technology

Our platform runs on Azure Cloud, and we're actively modernizing our architecture. Here's what you'll work with:

• Backend: .NET Core microservices alongside legacy .NET Framework applications. We've built proprietary libraries on top of the framework for our internal use. Entity Framework for data access.
• Data: SQL Server (complex schemas, heavy use of stored procedures) and MongoDB for document storage. Azure Data Factory for data orchestration.
• Messaging: NServiceBus and Azure Service Bus for event-driven communication between services.
• Infrastructure: Docker containers orchestrated with Kubernetes, deployed through Azure Pipelines. Git repos for version control.
• Frontend: Angular 17+ with Angular Material, plus legacy .NET Web Forms.
• Tools: JIRA and Confluence for project management and documentation. VS 2022, VS Code, or Rider - your choice.
• AI Tools: GitHub Copilot for AI-assisted development, and Claude, including Claude Code.
• Other: Redis for caching, GraphQL in select services.

Why This Role

You'll have real influence over how we modernize our platform. This isn't a "maintain the status quo" position - we're actively rearchitecting systems, and you'll help shape those decisions.

You'll work with a team that values pragmatism over dogma, where the goal is shipping software that works for our users, not chasing trends for their own sake.

Who Thrives Here

• People who take ownership - of their code, their commitments, and the outcomes.
• Developers who’d rather figure something out than wait to be told what to do.
• Those who see legacy code as a puzzle to solve, not a burden to complain about.
• Team players who make everyone around them better, not just themselves.
• People comfortable in a fast-paced environment where priorities sometimes shift.

Our Culture

We converted to Agile a few years ago and are now a fully enabled Agile department that prioritizes work based on the value it brings to our clients. During each two-week sprint, our developers plan, write, test, integrate, and bug fix while collaborating with skilled Business Analysts, UX designers, and product resources dedicated to the team.

We hire problem solvers, not just technicians. We look for self-motivated individuals with diverse backgrounds who can use the best tool for the job, contribute new ideas, and help bring them to life. Our team is made up of owners: people who are smart, low ego, and accountable for their results. If you want a role with real autonomy, interesting technical challenges, and the chance to shape how a platform evolves, we’d like to hear from you.

Compensation

We provide a competitive compensation package with a strong pay-for-performance rewards approach. Employees have the opportunity to participate in incentive programs and compensation tied to business and individual performance. The expected compensation range for this position is: $110,000 to $120,000.

The actual compensation may vary depending on local market conditions, geography, and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training.

#LI-Hybrid

We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application.

Job responsibilities

Job qualifications

Other things to know

Responsible Use of AI in Recruitment

About Thoughtworks

#LI-Onsite

About the role

Are you passionate about using data and AI to shape the future of Faire's Go-to-Market (GTM) strategy, sales, and operations? If so, we want to talk to you! We're looking for a technical owner in our team to work closely with Revenue Operations, GTM Systems Engineers, Data Scientists, Product Analysts and Software Engineers to support revenue-driving GTM initiatives by designing and building scalable data capabilities that inform and drive insights. You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve GTM data consumption workflows (e.g., Snowflake, BI tools, Salesforce), and automate routine analytical tasks. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly. 

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of data engineering technical expertise and the product sense to be able to translate internal customer needs into practical solutions. They will have strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on GTM data initiatives. 

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a GTM domain defining the architecture, data requirements, and roadmap (e.g., Contact Scoring, Lead Qualification, Sales Pipeline, Sales Enablement).
• Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
• Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows.
• Optimize processes for operational excellence in project management and system reliability.
• Ensure security standards are met within data systems and workflows. 
• Ensure and promote data quality standards for accurate and reliable insights.
• Embrace emerging technologies with enthusiasm.

Minimum qualifications

• 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
• Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
• Production-level development experience in Python.
• Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
• Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
• Experience with Airflow, Docker, DBT or similar analytics workflow tools.
• BA/BS degree in Computer Science, Math, Physics, or a related technical field. 

Nice-to-haves

• Experience with GTM specific data modeling using a BI tool such as Looker or similar while leveraging conversational analytics. Build and own the GTM semantic layer.
• Hands-on experience with GTM-specific data and platform apps, including Reverse ETL (e.g., Hightouch), ELT/Ingestion tools (e.g., Fivetran), iPaaS/Integration platforms (e.g., Workato, N8N, Zapier), and CRM/GTM systems and tool (e.g., Salesforce, Clay).

Salary Range

San Francisco: the pay range for this role is $196,000 to $269,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

We are a Canadian leader in digital automotive solutions. Our flagship brands — AutoTrader.ca, AutoSync, Dealertrack Canada and CMS — help Canadians buy, sell, and finance vehicles with confidence. 

AutoTrader.ca is Canada’s largest automotive marketplace, with over 25 million monthly visits. 

As part of AutoScout24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond.

What's in it for you:

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

• Gym discounts 

• Employee and Family Assistance program 

• Virtual wellness events 

• Conferences & training budget 

• Regular internal training programs 

• Financial planning with 3% matching Pension  

• Competitive salary 
• Annual bonus structure 

For a career where you can drive our business and shape your future, apply now. 

About the team: 

Engineers on this team build the application our customers and internal teams use to configure, operate, manage, and visualize complex incentive compensation workflows.

This role sits within Forma’s ICM Operations platform, spanning areas such as Core Services, Business Intelligence, workflows, automation, APIs, claims management, next-generation reporting, and data exploration capabilities.

There are many complex and difficult areas across the product, especially across frontend architecture and user experience, because of high data volumes, wide configurability, complex business logic, and mission-critical operational workflows. The work is not just about building screens; it is about helping users understand, act on, and trust complex compensation data and operational processes.

We are low on meetings and high on accountability. Most of the team is in the EST timezone, with some teammates in PST and Central. We are far from maintenance or simple progressive evolution in many areas; there is a lot of room to make a meaningful impact on the overall user experience, product architecture, and frontend design patterns.

What you'll be doing: 

Reporting to the VP of Engineering the Senior Frontend Engineer will play a key role in building, evolving, and scaling Forma’s customer-facing and internal operations experiences.

You’ll work closely with product, design, engineering, operations, and leadership partners to deliver intuitive, performant, and reliable interfaces for configuring, operating, and analyzing complex sales compensation workflows. You’ll take ownership of significant frontend initiatives, contribute to product and technical direction, and help raise the quality of our frontend systems through thoughtful architecture, code quality, and collaboration.

You will help turn complex operational processes into clear, reusable, and scalable product experiences — from approvals and ticketing to claims workflows, policy-driven automation, dashboards, reporting, and data exploration.

You will:

• Build and ship complex frontend features with React, TypeScript, SASS, Jest, and Cypress.
• Create intuitive experiences for workflows, automation, claims, reporting, dashboards, and data exploration.
• Translate complex compensation and operational workflows into clear, scalable UI.
• Build reusable frontend and data visualization patterns that scale across customers.
• Improve frontend architecture, performance, accessibility, testing, and developer experience.
• Bring customer empathy, product thinking, and operational awareness to your work.

What we’re looking for

We’re looking for a frontend-focused engineer who is comfortable owning meaningful product work, collaborating across disciplines, and navigating ambiguity in a complex product domain.

This role is for someone who can take ownership of a product area from an engineering perspective, not just pick up tickets. You should be able to understand the business problem, reason through the user workflow, ask good questions, and partner with product and design to shape solutions that are technically sound, usable, and scalable.

You have:

• Strong experience building production web applications with React, TypeScript, and JavaScript.
• Experience with complex, data-heavy, configurable user interfaces.
• Experience building dashboards, BI tools, reporting, analytics, or data visualization products.
• Strong frontend fundamentals across architecture, component design, state, performance, and testing.
• Good judgment around UX, accessibility, visualization patterns, and information hierarchy.
• Product instincts and the ability to connect technical choices to user and business outcomes.
• Comfort working with complex workflows, APIs, automation, claims, or policy-driven systems.
• Strong communication skills and a collaborative, candid, customer-focused working style.

Nice to have:

• Experience working on enterprise SaaS products.
• Experience with compensation, finance, workflow automation, analytics, business intelligence, or data-heavy operational applications.
• Experience building reusable data visualization, dashboarding, reporting, or exploration patterns.
• Familiarity with Python, Django, APIs, Postgres, or backend systems.
• Experience contributing to design systems, frontend platforms, or shared component libraries.
• Experience designing frontend experiences that support both internal operations teams and external customers.

Technologies we use

Frontend: JavaScript, React, TypeScript

Backend: Java/Springboot, Django, Postgres

Infrastructure: AWS, Docker

What success looks like: 30/60/90 days

First 30 days

You’ll focus on learning the product, team, codebase, customer context, and the operational workflows that power Forma’s ICM Operations platform.

By the end of your first 30 days, you will have:

• Built a strong understanding of Forma.ai’s product, customer problems, and sales compensation domain.
• Developed context on the ICM Operations platform, including Core Services, Business Intelligence, workflows, automation, APIs, claims management, reporting, and data exploration capabilities.
• Set up your development environment and become comfortable navigating the frontend codebase.
• Learned the team’s engineering practices, release process, testing expectations, and collaboration norms.
• Built relationships with engineering, product, design, operations, and customer-facing teammates.
• Shipped small to medium frontend improvements or bug fixes with support from the team.
• Started identifying areas of frontend complexity, UX friction, technical debt, or inconsistent data visualization patterns where you may be able to contribute.
• Begun developing an understanding of how customers and internal teams use Forma to manage mission-critical operational workflows.

First 60 days

You’ll begin owning more substantial frontend work and contributing to product and technical decisions.

By the end of your first 60 days, you will have:

• Taken ownership of one or more meaningful frontend features or product improvements within the ICM Operations platform.
• Collaborated with product, design, operations, and backend engineering to clarify requirements, edge cases, workflows, and user needs.
• Delivered well-tested, maintainable frontend code aligned with team standards.
• Contributed to dashboard, reporting, workflow, claims, automation, or data exploration experiences.
• Demonstrated sound judgment in selecting frontend interaction and visualization patterns for specific user problems.
• Participated actively in code reviews, technical discussions, and product discovery conversations.
• Contributed improvements to frontend patterns, components, tests, or developer experience.
• Built enough domain context to make thoughtful tradeoffs between usability, technical complexity, scalability, and delivery timelines.
• Started identifying opportunities to make frontend patterns more reusable across customers and use cases.
• Begun mentoring or supporting other engineers in areas where you have expertise.

First 90 days

You’ll be operating as a trusted senior frontend contributor on the team.

By the end of your first 90 days, you will have:

• Independently led frontend delivery for a complex feature or significant product area.
• Helped improve the quality, usability, performance, or maintainability of a key part of Forma’s ICM Operations platform.
• Delivered or meaningfully advanced frontend experiences related to workflows, automation, claims management, reporting, dashboards, APIs, or data exploration.
• Built strong working relationships with product, design, backend engineering, operations, and customer-facing partners.
• Demonstrated strong technical and product judgment in frontend architecture and implementation decisions.
• Shown an ability to reason from business problem to user workflow to frontend solution.
• Contributed to reusable frontend or visualization patterns that can scale across a broader client base.
• Raised the quality bar through code reviews, documentation, testing, and mentorship.
• Contributed to the team’s frontend roadmap by identifying opportunities for simplification, consistency, scalability, and better user outcomes.
• Developed a clear understanding of where you can make a longer-term impact at Forma.ai.

Additional Job Info:

• This position is for an existing vacancy
• Salary Range: 150-190K CAD

This is a hybrid position, currently requiring two days per week onsite at our office located at 2 Queen St. E in Toronto. Candidates outside of the commutable area or province will be considered for work-from-home.

The Role

We're looking for an experienced developer who thrives on autonomy and wants to make a real impact. You'll join our TMT Technology team at TripArc, where you'll navigate the interesting challenge of modernizing a mature travel platform—decomposing legacy .NET systems into Azure-native microservices while keeping the business running smoothly. 

This isn't a role where you'll wait for detailed specifications or step-by-step guidance. You'll own problems end-to-end: digging into complex business logic in existing codebases, designing solutions that bridge old and new, and shipping code that serves thousands of travel professionals daily. Some days you'll be untangling decade-old stored procedures; others you'll be architecting event-driven services on Azure. We need someone who finds that variety energizing rather than frustrating. 

You'll work within our Agile framework—two-week sprints, daily stand-ups, the usual ceremonies—but we expect you to drive your own work. That means collaborating directly with QA, Product, and stakeholders to clarify requirements, pushing back when timelines don't make sense, and helping teammates when they're stuck. Documentation matters here: we use JIRA and Confluence extensively, and your tickets and design docs should be clear enough that anyone can pick up where you left off. 

What You'll Do

• Design, build, and deploy features across our stack—from legacy Web Forms applications to modern .NET Core microservices running on Kubernetes. 
• Lead migration efforts, breaking down monolithic components into loosely-coupled services while maintaining system reliability. 
• Write and optimize complex SQL queries and stored procedures; work with MongoDB for document storage where appropriate. 
• Build and maintain event-driven integrations using NServiceBus and Azure Service Bus. 
• Collaborate with Product and QA to scope work, estimate effort, and balance competing priorities within sprint commitments. 
• Own your deliverables through the full lifecycle: design, implementation, testing, deployment via Azure Pipelines, and production support. 
• Contribute to architectural decisions and help establish patterns that the broader team can follow. 
• Support fellow developers through code reviews, pair programming, and knowledge sharing—elevating the whole team's capabilities. 
• Maintain clear documentation in Confluence and keep JIRA tickets updated so the team has visibility into progress and blockers. 

What We're Looking For

Technical Skills

• 5+ years working with C# and the .NET ecosystem, with hands-on experience in both .NET Framework and .NET Core. 
• Strong SQL Server skills—you're comfortable writing complex queries, optimizing performance, and working with large, intricate database schemas.
• Experience building and consuming RESTful APIs and working with Entity Framework or similar ORMs.
• Familiarity with message-based architectures; NServiceBus or Azure Service Bus experience
• MongoDB experience

Nice to have

• Exposure to CI/CD pipelines, ideally Azure Pipelines or similar tools.
• Working knowledge of containerization (Docker) and orchestration (Kubernetes) in a cloud environment. 
• Angular experience is a plus if you're interested in occasional front-end work, but this is primarily a backend-focused role.

How You Work 

• You take initiative. When you see a problem, you investigate it. When requirements are ambiguous, you ask the right questions or make reasonable assumptions and move forward. 
• You communicate clearly—whether that's explaining a technical tradeoff to a Product Manager, documenting a design decision, or helping a junior developer understand a concept. 
• You're comfortable with ambiguity and can make progress without having every detail spelled out. 
• You balance speed with quality, knowing when to optimize and when "good enough" actually is. 
• You write documentation that you'd want to read—because you know future-you (or your teammate) will thank you. 

Our Technology 

Our platform runs on Azure Cloud, and we're actively modernizing our architecture. Here's what you'll work with: 

• Backend: .NET Core microservices alongside legacy .NET Framework applications. We've built proprietary libraries on top of the framework for our internal use. Entity Framework for data access. 
• Data: SQL Server (complex schemas, heavy use of stored procedures) and MongoDB for document storage. Azure Data Factory for data orchestration. 
• Messaging: NServiceBus and Azure Service Bus for event-driven communication between services. 
• Infrastructure: Docker containers orchestrated with Kubernetes, deployed through Azure Pipelines. Git repos for version control. 
• Frontend: Angular with Angular Material (though this role is primarily backend-focused), plus legacy .NET Web Forms. 
• Tools: JIRA and Confluence for project management and documentation. GitHub Copilot for AI-assisted development. VS 2022, VS Code, or Rider—your choice. 
• Other: Redis for caching, GraphQL in select services. 

Why This Role

You'll have real influence over how we modernize our platform. This isn't a "maintain the status quo" position—we're actively rearchitecting systems, and you'll help shape those decisions. You'll work with a team that values pragmatism over dogma, where the goal is shipping software that works for our users, not chasing trends for their own sake. 

Who Thrives Here 

• People who take ownership—of their code, their commitments, and the outcomes. 
• Developers who'd rather figure something out than wait to be told what to do. 
• Those who see legacy code as a puzzle to solve, not a burden to complain about. 
• Team players who make everyone around them better, not just themselves. 
• People comfortable with a fast-paced environment where priorities sometimes shift. 

Our team is made up of people who are smart, low ego, and accountable for their results. If you want a role with autonomy, interesting technical challenges, and the chance to shape how a platform evolves, we'd like to hear from you. 

Compensation

We provide a competitive compensation package with a strong pay-for-performance rewards approach. Employees have the opportunity to participate in incentive programs and compensation tied to business and individual performance. The expected base compensation range for this position is: $115,000 to $125,000.

The actual compensation may vary depending on local market conditions, geography, and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training.

#LI-Hybrid

We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application.

This is a hybrid position, currently requiring two days per week onsite at our office located at 2 Queen St. E in Toronto. Candidates outside of the commutable area or province will be considered for work-from-home.

The Role

We're looking for an experienced developer who thrives on autonomy and wants to make a real impact. You'll join our TMT Technology team at TripArc, where you'll navigate the interesting challenge of modernizing a mature travel platform—decomposing legacy .NET systems into Azure-native microservices while keeping the business running smoothly. 

This isn't a role where you'll wait for detailed specifications or step-by-step guidance. You'll own problems end-to-end: digging into complex business logic in existing codebases, designing solutions that bridge old and new, and shipping code that serves thousands of travel professionals daily. Some days you'll be untangling decade-old stored procedures; others you'll be architecting event-driven services on Azure. We need someone who finds that variety energizing rather than frustrating. 

You'll work within our Agile framework—two-week sprints, daily stand-ups, the usual ceremonies—but we expect you to drive your own work. That means collaborating directly with QA, Product, and stakeholders to clarify requirements, pushing back when timelines don't make sense, and helping teammates when they're stuck. Documentation matters here: we use JIRA and Confluence extensively, and your tickets and design docs should be clear enough that anyone can pick up where you left off. 

What You'll Do

• Design, build, and deploy features across our stack—from legacy Web Forms applications to modern .NET Core microservices running on Kubernetes. 
• Lead migration efforts, breaking down monolithic components into loosely-coupled services while maintaining system reliability. 
• Write and optimize complex SQL queries and stored procedures; work with MongoDB for document storage where appropriate. 
• Build and maintain event-driven integrations using NServiceBus and Azure Service Bus. 
• Collaborate with Product and QA to scope work, estimate effort, and balance competing priorities within sprint commitments. 
• Own your deliverables through the full lifecycle: design, implementation, testing, deployment via Azure Pipelines, and production support. 
• Contribute to architectural decisions and help establish patterns that the broader team can follow. 
• Support fellow developers through code reviews, pair programming, and knowledge sharing—elevating the whole team's capabilities. 
• Maintain clear documentation in Confluence and keep JIRA tickets updated so the team has visibility into progress and blockers. 

What We're Looking For

Technical Skills

• 5+ years working with C# and the .NET ecosystem, with hands-on experience in both .NET Framework and .NET Core. 
• Strong SQL Server skills—you're comfortable writing complex queries, optimizing performance, and working with large, intricate database schemas.
• Experience building and consuming RESTful APIs and working with Entity Framework or similar ORMs.
• Familiarity with message-based architectures; NServiceBus or Azure Service Bus experience
• MongoDB experience

Nice to have

• Exposure to CI/CD pipelines, ideally Azure Pipelines or similar tools.
• Working knowledge of containerization (Docker) and orchestration (Kubernetes) in a cloud environment. 
• Angular experience is a plus if you're interested in occasional front-end work, but this is primarily a backend-focused role.

How You Work 

• You take initiative. When you see a problem, you investigate it. When requirements are ambiguous, you ask the right questions or make reasonable assumptions and move forward. 
• You communicate clearly—whether that's explaining a technical tradeoff to a Product Manager, documenting a design decision, or helping a junior developer understand a concept. 
• You're comfortable with ambiguity and can make progress without having every detail spelled out. 
• You balance speed with quality, knowing when to optimize and when "good enough" actually is. 
• You write documentation that you'd want to read—because you know future-you (or your teammate) will thank you. 

Our Technology 

Our platform runs on Azure Cloud, and we're actively modernizing our architecture. Here's what you'll work with: 

• Backend: .NET Core microservices alongside legacy .NET Framework applications. We've built proprietary libraries on top of the framework for our internal use. Entity Framework for data access. 
• Data: SQL Server (complex schemas, heavy use of stored procedures) and MongoDB for document storage. Azure Data Factory for data orchestration. 
• Messaging: NServiceBus and Azure Service Bus for event-driven communication between services. 
• Infrastructure: Docker containers orchestrated with Kubernetes, deployed through Azure Pipelines. Git repos for version control. 
• Frontend: Angular with Angular Material (though this role is primarily backend-focused), plus legacy .NET Web Forms. 
• Tools: JIRA and Confluence for project management and documentation. GitHub Copilot for AI-assisted development. VS 2022, VS Code, or Rider—your choice. 
• Other: Redis for caching, GraphQL in select services. 

Why This Role

You'll have real influence over how we modernize our platform. This isn't a "maintain the status quo" position—we're actively rearchitecting systems, and you'll help shape those decisions. You'll work with a team that values pragmatism over dogma, where the goal is shipping software that works for our users, not chasing trends for their own sake. 

Who Thrives Here 

• People who take ownership—of their code, their commitments, and the outcomes. 
• Developers who'd rather figure something out than wait to be told what to do. 
• Those who see legacy code as a puzzle to solve, not a burden to complain about. 
• Team players who make everyone around them better, not just themselves. 
• People comfortable with a fast-paced environment where priorities sometimes shift. 

Our team is made up of people who are smart, low ego, and accountable for their results. If you want a role with autonomy, interesting technical challenges, and the chance to shape how a platform evolves, we'd like to hear from you. 

Compensation

We provide a competitive compensation package with a strong pay-for-performance rewards approach. Employees have the opportunity to participate in incentive programs and compensation tied to business and individual performance. The expected base compensation range for this position is: $115,000 to $125,000.

The actual compensation may vary depending on local market conditions, geography, and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training.

#LI-Hybrid

We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application.

About the team:

The Core Services team is responsible for the foundational systems that power how Forma’s platform operates at scale. This includes service-to-service communication, permissions and access control, release infrastructure, and observability.

As our platform scales toward a more distributed, multi-service architecture, this team plays a critical role in ensuring systems remain reliable, secure, and easy to operate. The work here sits at the intersection of backend engineering and infrastructure, with a strong emphasis on building robust, scalable software systems.

We are low on meetings and high on accountability, with most of the team in the EST time zone.

What you'll be doing:

Reporting to the VP of Engineering, you will help lead the design and development of foundational platform capabilities that support all backend services.

You will work on high-impact, cross-cutting problems that shape how engineers build, ship, secure, and operate services at Forma. You’ll spend significant time designing APIs, data models, application workflows, shared libraries, and backend services that other teams rely on.

Key areas of ownership include:

• Designing and implementing systems for roles, permissions, and access control across services
• Defining how services access shared permission models and identity data
• Defining how user permissions carry across product surfaces, not just machine-to-machine service authorization
• Building shared backend capabilities that support workflows such as approvals, ticketing, and cross-service coordination
• Building MCP connectors to Forma services, enabling AI tools and agents to securely access product data, workflows, and backend capabilities
• Improving and standardizing CI/CD pipelines across teams
• Establishing robust observability practices, including distributed tracing and monitoring across services
• Helping guide the transition toward a more service-oriented architecture

You will be working on some of the most critical and complex engineering challenges at Forma, with significant influence over system design and engineering practices.

What skills / traits are we looking for:

• Strong experience designing and building distributed backend systems
• Strong application engineering skills, including API design, data modeling, service boundaries, and production-quality backend code
• Experience with AI-enabled developer tooling, MCP, or internal engineering automation
• Experience working with service-oriented or microservices architectures
• Deep understanding of authentication, authorization, and access control patterns
• Previously owned or improved CI/CD systems, release processes, and production workflows
• Track record of raising reliability and observability across service boundaries (tracing, correlation, SLOs, or post-incident improvements that team adopted).
• Excellent written and verbal communication skills
• Ability to influence technical direction and collaborate across teams
• High ownership mindset with attention to detail

Nice to have:

• Experience with distributed tracing and observability tooling
• Exposure to infrastructure and platform engineering concepts
• Experience working in high-growth or scaling engineering teams

Technologies we use:

• Backend: Java, Django, Postgres
• Infrastructure: AWS, Docker, GitHub Actions, Databricks, Datadog, Grafana, Kubernetes, Helm, Argo

What success looks like:

First 30 Days

• Develop a deep understanding of Forma’s backend architecture, service boundaries, core infrastructure, CI/CD pipelines and release workflows
• Get hands-on with the codebase by contributing production code to core services or shared libraries
• Identify gaps in current implementations around service communication, auth, or observability
• Produce at least one concrete technical proposal (design doc) targeting a high-impact core services improvement

60 Days

• Own and deliver a meaningful backend/platform improvement within Core Services, such as a permissions access layer, approval workflow component, service auth pattern, or shared application library
• Write and ship well-designed, production-quality code that improves product capabilities, system reliability, or developer workflows
• Contribute to technical design discussions with clear tradeoffs and implementation plans
• Begin shaping standards for how services interact across auth, permissions, data access, workflow ownership, and API boundaries

90 Days

• Lead the design and implementation of a complex, cross-service engineering solution, such as a permissions framework, approval workflow subsystem, or inter-service authorization model
• Drive adoption of new patterns through high-quality code, documentation, and collaboration
• Establish engineering best practices for building and operating services in a distributed environment
• Act as a technical leader by raising the bar for code quality, system design, maintainability, and production ownership

 
Additional Job Info:

• This position is for an existing vacancy

About the team

Engineers on this team build the application our customers and internal teams use to configure, operate, manage, and visualize complex incentive compensation workflows. There are many complex and difficult areas across the product, especially across frontend architecture and user experience, because of high data volumes, wide configurability, complex business logic, and mission-critical operational workflows. The work is not just about building screens; it is about helping users understand, act on, and trust complex compensation data and operational processes.

We are low on meetings and high on accountability. Most of the team is in the EST timezone, with some teammates in PST and Central. We are far from maintenance or simple progressive evolution in many areas; there is a lot of room to make a meaningful impact on the overall user experience, product architecture, and frontend design patterns.

What you’ll be doing

Reporting to the VP of Engineering, the Staff Frontend Engineer will play a critical role in shaping the technical direction, architecture, and long-term evolution of Forma’s customer-facing and internal operations experiences.

You’ll operate as a frontend technical leader, working across teams to drive alignment, set standards, and solve complex, ambiguous problems in a highly configurable, data-intensive product. You’ll partner closely with product, design, engineering, and leadership to define not just what we build, but how we build it — ensuring our frontend systems are scalable, consistent, and built for long-term velocity.

You will lead the design and development of foundational frontend systems, influence product and platform strategy, and help the team navigate complexity in workflows, automation, reporting, and data exploration at scale.

You will:

• Lead the architecture and evolution of Forma’s frontend systems, patterns, and best practices.
• Drive large, cross-cutting frontend initiatives spanning multiple product areas and teams.
• Translate complex compensation and operational workflows into scalable, extensible UI systems and abstractions.
• Define and standardize reusable frontend and data visualization patterns across the platform.
• Partner with product and design to shape ambiguous problem spaces into clear, scalable solutions.
• Improve frontend performance, reliability, accessibility, testing strategy, and developer experience at a systems level.
• Mentor and guide engineers across the team, raising the overall quality and consistency of frontend development.
• Influence technical strategy, roadmap planning, and prioritization decisions.
• Identify and address systemic frontend challenges, including architecture, state management, and data handling at scale.
• Bring strong product thinking, customer empathy, and operational awareness to complex problem spaces.

What we’re looking for

We’re looking for a highly experienced frontend engineer who thrives in ambiguous environments, enjoys solving system-level problems, and can influence both technical and product direction.

This role is for someone who goes beyond owning features — you own systems, patterns, and outcomes across teams. You should be able to connect business goals to technical strategy, guide teams through complexity, and make pragmatic decisions that balance scalability, usability, and delivery.

You have:

• Deep experience building and scaling production web applications with React, TypeScript, and JavaScript.
• Proven experience designing frontend architecture and systems for complex, data-heavy, configurable applications.
• Experience leading large frontend initiatives or platform-level efforts across teams.
• Strong expertise in component design, state management, performance optimization, and testing at scale.
• Experience building dashboards, BI tools, reporting, analytics, or data visualization platforms.
• Excellent judgment around UX, accessibility, information hierarchy, and visualization patterns.
• Strong product instincts and the ability to influence product direction through technical insight.
• Experience working with complex workflows, automation systems, APIs, or policy-driven platforms.
• A track record of mentoring engineers and raising the technical bar across a team or organization.
• Strong communication skills with the ability to align stakeholders and drive decisions across disciplines.

Nice to have

• Experience working on enterprise SaaS platforms at scale.
• Experience in compensation, finance, workflow automation, analytics, or operational tooling.
• Experience building or leading design systems, frontend platforms, or shared component libraries.
• Familiarity with backend systems (Python/Django, Java/Springboot, APIs, Postgres).
• Experience designing systems that support both internal operations teams and external customers.
• Experience influencing or defining engineering strategy at the team or org level.

Technologies we use

Frontend: JavaScript, React, TypeScript

Backend: Java/Springboot, Django, Postgres

Infrastructure: AWS, Docker

What success looks like: 30/60/90 days

First 30 days

You’ll focus on building deep context across the product, architecture, and organization.

By the end of your first 30 days, you will have:

• Developed a strong understanding of Forma.ai’s product, customers, and the sales compensation domain.
• Built a clear mental model of the frontend architecture, key systems, and areas of complexity.
• Formed relationships with engineering, product, design, and leadership stakeholders.
• Identified high-impact opportunities for frontend improvements across architecture, UX, and systems.
• Contributed to technical discussions and begun shaping frontend direction.
• Shipped targeted improvements while building broader context.

First 60 days

You’ll begin driving meaningful technical initiatives and influencing direction.

By the end of your first 60 days, you will have:

• Taken ownership of a cross-cutting frontend initiative or system-level improvement.
• Influenced product and technical decisions through strong architectural and product thinking.
• Introduced or improved frontend patterns, abstractions, or standards.
• Helped teams navigate complexity in workflows, data visualization, or state management.
• Begun mentoring engineers and raising the quality bar through reviews and guidance.
• Identified opportunities to improve consistency and reuse across the platform.

First 90 days

You’ll be operating as a trusted technical leader for frontend across the organization.

By the end of your first 90 days, you will have:

• Led the design and delivery of a major frontend initiative or architectural improvement.
• Established or significantly advanced frontend standards, patterns, or platform capabilities.
• Influenced roadmap decisions and helped align teams on scalable frontend approaches.
• Improved the performance, usability, and maintainability of key product areas.
• Mentored engineers and contributed to a stronger frontend culture across the team.
• Identified and begun executing on longer-term frontend investments.
• Demonstrated clear impact on both user experience and engineering velocity.

Additional Job Info:

• This position is for an existing vacancy

About the Team

Engineers on this team construct our rules-based calculating engine for processing sales commissions. This might sound simple if you have never been exposed to sales comp plans, it is not! We are low on meetings, high on accountability. Most of the team are in EST time zone but we have a few located in PST and Central as well. We are far from maintenance / progressive evolution in many areas, there is a lot of room to make a big impact in the overall design.

What you’ll be doing

Reporting to the Manager of Data Platform, you will play a critical role in the evolution of our Spark based data platform. You'll lead development efforts for our complex, data-rich platform features while being an example to the team of code quality and thoughtful software design. You will be working on the most challenging code at Forma.

As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints others may not see, and advocating for improvements that strengthen the long-term integrity of the system. We value engineers who bring forward thoughtful perspectives - even when they challenge assumptions - and who help the team see around corners.

You will:

• Design and evolve backend services that power product workflows.
• Architect data models representing hierarchical & graph structures, relationships, and large-scale enterprise datasets.
• Build deterministic, reliable systems that allow customers to reason clearly about their data.
• Drive architectural decisions that balance extensibility, performance, and operational simplicity.
• Improve observability, testing strategy, and production reliability across backend services.
• Partner closely with Product to translate nuanced business requirements into clean, scalable designs.
• Mentor engineers across levels and help raise the bar for backend engineering standards.
• Use, and demonstrate using, AI tooling to improve implementation velocity while thoughtfully investing in technical and product specifications

What We're Looking for:

• Significant experience designing and building complex backend systems in production environments.
• Demonstrated ability to surface unarticulated risks, propose alternative approaches, and advocate for architectural improvements with sound technical reasoning.
• Expertise in at least one production-grade backend language (e.g., Python, Java, Kotlin, Go, C#, etc.).
• Strong foundation in relational schema design, data modelling, and SQL.
• Background working with Spark, or other ETL tools / frameworks
• Experience working with hierarchical, graph-like, or relationship-heavy data structures.
• Familiarity with graph databases or graph-based modelling concepts is a strong plus.
• Excellent written and verbal communication skills.
• A track record of improving scalability, reliability, and observability in distributed or data-intensive systems.
• A desire to influence architecture and product direction - not just implement tickets.
• Thrive in a collaborative, detail-oriented environment across Engineering, Product, and Analytics.

Nice to have:

• Experience building SaaS products serving mid-market or enterprise customers.
• Experience building rule-driven systems, validation workflows, or approval/governance platforms.
• Familiarity with AWS-based infrastructure and Kubernetes.
• Exposure to Sales Performance Management (SPM), RevOps, Incentive Compensation (ICM), or related domains. ****

Technologies we use

Frontend: JavaScript, React, TypeScript

Backend: Java/Springboot, Django, Postgres

Infrastructure: AWS, Docker

What success looks like: 30/60/90 days

First 30 days

You’ll focus on building deep context across the product domain, backend architecture, and the data models that power Forma’s platform.

By the end of your first 30 days, you will have:

• Developed a strong understanding of Forma.ai’s product, customers, and sales performance domain.
• Built a clear mental model of the backend architecture, core services, and data flows across the system.
• Gained familiarity with key data models, including hierarchical structures, relationships, and workflow-driven entities.
• Set up your development environment and become comfortable navigating the codebase, services, and infrastructure.
• Learned the team’s engineering practices around testing, observability, deployment, and reliability.
• Built relationships with engineering, product, and analytics partners.
• Contributed to technical discussions, asking thoughtful questions and identifying early areas of complexity or risk.
• Shipped small but meaningful improvements or fixes to build familiarity with the system.
• Started identifying opportunities to improve data modeling, system clarity, or backend reliability.

First 60 days

You’ll begin owning meaningful backend systems and influencing technical decisions.

By the end of your first 60 days, you will have:

• Taken ownership of a significant backend component, service, or workflow.
• Designed and delivered well-structured, maintainable backend code aligned with system standards.
• Partnered closely with Product to translate complex business requirements into scalable backend designs.
• Demonstrated strong judgment in data modeling, especially around relationships, hierarchy, and workflow representation.
• Identified and surfaced architectural risks, edge cases, or inconsistencies in existing systems.
• Proposed and, where appropriate, implemented improvements to backend architecture, data models, or service boundaries.
• Contributed to improvements in observability, testing, and production reliability.
• Participated actively in code reviews and technical design discussions, raising the bar for quality and clarity.
• Begun mentoring or supporting other engineers in areas of strength.
• Built enough system context to make informed tradeoffs between performance, extensibility, and simplicity.

First 90 days

You’ll be operating as a trusted technical leader across backend systems.

By the end of your first 90 days, you will have:

• Led the design and delivery of a complex backend initiative spanning multiple services or domains.
• Introduced or significantly improved core data models, system architecture, or workflow handling.
• Demonstrated the ability to anticipate and mitigate long-term architectural risks.
• Influenced technical direction through clear, well-reasoned proposals and design decisions.
• Improved the reliability, observability, or scalability of critical backend systems.
• Established strong working relationships across Engineering, Product, and Analytics.
• Elevated engineering standards through mentorship, design reviews, and technical guidance.
• Helped the team better reason about complex, data-intensive workflows through clearer system design.
• Identified and begun executing on longer-term backend investments that improve system integrity and developer velocity.
• Demonstrated clear impact on both system quality and the team’s ability to deliver confidently at scale.

Additional Job Info:

• This position is for an existing vacancy

Who We Are

At Momentum Financial Services Group, we help people move forward by reimagining how money works for those who need it most. With more than 40 years of experience, we’re the team behind Money Mart—Canada’s largest non-bank branch network—and a leader in financial solutions for underserved communities.

From short-term loans to money transfers and prepaid cards, we power the products, technology, and operations that connect over a million customers a year to the money they need, when they need it.

At MFSG, we come together across teams and departments to create something bigger than ourselves: solutions that remove barriers and give people access to money they might not get anywhere else. Whether you're solving problems, building systems, or shaping strategy, your work fuels real support for real people.

We’ve Got You Covered

• Compensation Philosophy: Our strategy is simple—we aim to match the market. We regularly review industry standards to ensure our total rewards package is competitive and fair. This commitment helps us attract and retain talented individuals who share our purpose.
• Discretionary Annual Bonus: Enjoy the opportunity for a discretionary bonus based on individual performance and company success.
• Comprehensive Benefits: Our benefits include health and dental plans with 100% of the premiums covered. We also offer an Employee Assistance Program to support your mental well-being and provide resources for personal challenges.
• Retirement Plans: Plan for your future with our robust retirement savings options, ensuring you’re set for the long haul.
• Hybrid Work Environment: Experience the best of both worlds with our hybrid work model, allowing you to balance remote work with in-office. When you're at our corporate head office, enjoy a relaxed and collaborative environment featuring breakout rooms for brainstorming and unwinding, plus a variety of snacks to keep you energized throughout the day.
• Perks and Rewards: Enjoy reimbursement for tuition assistance and professional development, discounts through Perkopolis and participate in our rewards and recognition programs to celebrate your contributions.

The Job: Senior Developer

As a Senior Developer, you will be responsible for designing, developing, and maintaining complex software systems, mentoring junior developers, and ensuring high standards of code quality and system performance; and collaborate with cross-functional teams to deliver scalable solutions that align with business objectives.

What You’ll Do

Software Development & Design

• Design, implement, and maintain robust, scalable, and efficient applications using modern development practices. System Architecture: Contribute to system and application architecture design, ensuring maintainability, security, and performance.

Secure Coding & Quality

• Write clean, testable, and efficient code; conduct thorough code reviews; and enforce coding best practices.
  Implement secure coding practices to protect sensitive financial data.

Collaboration & Communication

• Work closely with product managers, designers, QA engineers, and stakeholders to translate requirements into technical solutions.

Problem Solving

• Analyze complex technical issues, propose solutions, and implement fixes in a timely manner.

Continuous Improvement

• Stay updated with emerging technologies, tools, and practices to enhance development processes and outcomes.

Mentoring & Leadership

• Mentor and support junior developers, fostering technical growth and best practices.

What You’ll Bring to the Table

• Proficiency in one or more programming languages (e.g., C#, Python, JavaScript/TypeScript).
• Strong knowledge of frameworks (e.g., .NET, React, Nextjs, Angular, Node.js).
• Solid understanding of databases (SQL and NoSQL).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and DevOps practices.
• Experience with unit testing frameworks (e.g., NUnit, MSTest, Mocha, Jasmine)

Education + Experience

• Bachelor’s Degree in Computer Science, Software Engineering.
• Minimum 15+ years of professional software development experience, with at least 2 years in a senior/lead role.
• Experience in Agile/Scrum environments. 
• Exposure to microservices architecture.
• Knowledge of automated testing frameworks.

Ready to apply your development expertise to make a real impact? Join us and help shape the future of software development at MFSG. Apply today and let’s build the future of MFSG, together.

Committed to Equal Opportunity: 
 
MFSG is committed to accommodating applicants up to the point of undue hardship during the recruitment, assessment and selection process. If you are selected for an interview, please notify MFSG if you require accommodation in respect of the materials or procedures used at any time during this process. If you require accommodation, MFSG will work with you to determine how to meet your needs. 

Please note: The salary range, inclusive of bonus, for this position is between C$ 85,000 to C$ 135,000. 

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering