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

San Francisco: the pay range for this role is $246,500 to $339,000 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.

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.

About GlossGenius

GlossGenius is the AI-powered system behind the world’s most meaningful appointments, helping 100,000+ service businesses earn more revenue and free up time for the work they love. Our agentic workforce gets more clients in the door, grows profit per appointment, and keeps clients coming back — doing the jobs owners never had time for and couldn’t justify hiring to fill. Businesses on GlossGenius process billions in annual payment volume, and see 65% more revenue using GlossGenius Payments by growing ticket size, rebooking clients at checkout, and saving on processing fees.

About the Role

GlossGenius has grown significantly, supporting tens of thousands of customers and seeing billions of transaction volumes on our platforms. As our customers continue to grow their businesses, we want to enable them to be more successful. For that, we’re building AI features that will transform how our customers operate and grow their businesses

That’s why we are seeking strong Software Engineers, All levels to join one of our Product or Platform-based teams. Product-focused engineers work at the intersection of business needs and technical solutions, solving key customer problems. Platform-focused engineers build scalable, reliable, and extensible systems that empower product teams to move faster, deliver with quality, and focus on customer value.

This role is Hybrid in our NYC headquarters (Tuesdays & Thursdays in-office).

This role is remote from the San Francisco Bay Area

This role is remote from the Greater Toronto Area

What We Work With

We are open to hearing from candidates who know different programming languages and are excited to learn more and grow their skills. Our current stack:

• Kotlin (micronaut, jooq), Ruby (Rails, Sidekiq), gRPC, protobuf
• Typescript / Javascript (React, Redux)
• React Native
• AWS, Kubernetes, Postgres and Terraform

What You’ll Do

As a Software Engineer at GlossGenius, you'll play a critical role in shaping a platform that powers over 100,000 small businesses and processes more than $3 billion in payments annually. Engineers work on high-impact initiatives that support our rapid growth and evolving scale. Examples of your potential responsibilities include:

• Develop, release, and run large-scale web applications that empower beauty and wellness businesses to operate and grow.
• Build new AI features for our customers.
• Develop and define our microservice-based infrastructure.
• Build tools and solutions that enable internal teams to work faster, more effectively, with more confidence, and improve the value they can provide our users (Business Scalability team).
• Work on core experiences such as making payments friction-free for clients and customers, building tools to help customers earn more per hour, or enabling businesses to effortlessly grow and manage their teams.
• Focus on front-end development, crafting intuitive and engaging user experiences for our web and mobile applications.
• Improve performance, reliability, scalability, and security for our backend systems.

What We’re Looking For

• 2+ years of professional experience in software development.
• A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• A strong desire to move fast and have a significant impact.
• Hands-on experience building with AI/ML APIs or LLMs, you've shipped something real using AI, whether in a production environment or a meaningful side project. You think critically about where AI adds genuine value and how to integrate it responsibly into a product.
• An entrepreneurial mindset, eager to take ownership and contribute new ideas to solve challenging problems.
• Ability to analyze and improve efficiency, scalability, and stability of various system resources.
• Demonstrates strong collaboration skills and team spirit.

Benefits & Perks 

• Flexible PTO
• Competitive health & dental insurance options, with premiums partially or fully covered by GG
• In-person opportunities that are designed to help team members foster collaboration and build community (ie; working out of a co-working space, team dinners, and other team building activities)
• Fertility and adoption benefits via Carrot
• Generous, fully-paid parental leave policy
• 401k benefit - employees are eligible to contribute starting day 1 of employment
• Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
• Pre-tax commuter benefits
• Dependent Care FSA
• Home office support

About GlossGenius

GlossGenius is the AI-powered system behind the world’s most meaningful appointments, helping 100,000+ service businesses earn more revenue and free up time for the work they love. Our agentic workforce gets more clients in the door, grows profit per appointment, and keeps clients coming back — doing the jobs owners never had time for and couldn’t justify hiring to fill. Businesses on GlossGenius process billions in annual payment volume, and see 65% more revenue using GlossGenius Payments by growing ticket size, rebooking clients at checkout, and saving on processing fees.

About the Role

GlossGenius has been empowering independent entrepreneurs in the beauty and wellness space to pursue their dreams and successfully grow their businesses. As we continue to scale, we're strengthening our App Platform team. This team is foundational to everything we build — from enabling developer velocity to ensuring web reliability and performance at scale.

As a Staff Frontend Engineer on the App Platform team, you will play a leading technical role in shaping our web platform at GlossGenius. We are not owners of individual features but enablers of scalable, consistent, and high-quality engineering. Our scope includes shared UI frameworks, component libraries, tooling, and release infrastructure — we are building the platform that product teams rely on to deliver value. We also believe AI is a force multiplier for great engineering, and we're actively embedding AI-powered tooling and practices into how we build and ship software. Our mission is to provide the foundation that helps every team move faster, build better, and scale with confidence.

What You’ll Do

• Architect and drive the development of scalable, reusable frontend components and shared libraries that power GlossGenius web applications.
• Define and lead the long-term technical direction of our web platform, including framework decisions, architecture patterns, and developer experience.
• Partner closely with product managers, designers, and engineering teams across the org to align on and deliver a cohesive, high-quality web experience.
• Set the standard for frontend best practices — including code quality, accessibility, performance optimization, and design system consistency — and actively raise the bar across engineering.
• Own and drive improvements to frontend tooling, build pipelines, and developer workflows to increase velocity across engineering teams.
• Champion the adoption of AI-powered development tools (e.g. Cursor, GitHub Copilot) and help establish best practices for how engineers at GlossGenius leverage AI effectively and responsibly.
• Serve as a technical leader and go-to resource in code reviews, architectural decisions, and cross-functional technical discussions.
• Identify systemic problems and proactively propose and implement solutions that have broad impact across multiple teams.
• Contribute to mobile efforts where applicable, lending your frontend expertise to ensure consistency across web and mobile surfaces.

What We’re Looking For

• 7+ years of professional frontend engineering experience, with a strong focus on web, and a track record of leading high-impact technical work.
• Deep expertise in React and JavaScript, with a strong command of modern frontend architecture and patterns.
• Strong proficiency in TypeScript, CSS-in-JS, and responsive/adaptive design principles.
• Proven experience building and evolving component libraries, design systems, or shared UI frameworks at scale.
• Deep understanding of web performance — bundle optimization, lazy loading, rendering strategies, Core Web Vitals, and profiling.
• Hands-on experience with AI-assisted development tools (e.g. Cursor, GitHub Copilot) and a genuine enthusiasm for using AI to accelerate engineering productivity.
• A forward-thinking mindset around AI — someone who actively explores how emerging tools and workflows can improve how teams build software, and can help shape those practices org-wide.
• Ability to work with a high degree of autonomy, driving projects from ambiguous problem statements to polished, production-ready solutions.
• Strong verbal and written communication skills, with the ability to influence technical direction and align stakeholders across teams.
• Familiarity with React Native or cross-platform mobile development is a plus, but not required.

Benefits & Perks 

• Flexible PTO
• Competitive health & dental insurance options, with premiums covered by GG
• Generous, fully-paid parental leave policy
• Retirement Savings Plan
• Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
• Home office support
• Team Bonding opportunities - as a distributed team, being able to build meaningful bonds both virtually and in person is incredibly important to us! We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year

At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer.

Job Title:

Senior Backend Engineer (SaaS, Data & AI)

Why Kaseya?

Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

Job Summary

We’re hiring a Senior / Staff Backend Engineer to lead the design and delivery of SaaS products powered by data, machine learning, and AI. This is a hands-on role focused on building scalable backend systems, integrating ML/AI capabilities into real customer workflows, and driving technical direction across product areas. You’ll work closely with Product, Design, and Data teams to deliver reliable, high-impact features and improve engineering standards across the organization.

Roles & Responsibilities

• Own the architecture and technical direction for backend systems within a multi-tenant SaaS platform
• Design and build APIs and services (REST, GraphQL, or gRPC) to support product features and integrations
• Deliver backend features end-to-end, including data modeling, business logic, and system integration
• Partner with Product, Design, and Data/ML teams to translate business requirements into scalable solutions
• Integrate data, ML, and AI capabilities into product workflows (e.g., automation, recommendations, insights)
• Improve system performance, scalability, and reliability across critical services
• Implement monitoring, logging, and alerting to ensure operational visibility and stability
• Lead design reviews, mentor engineers, and contribute to engineering best practices

Required Qualifications

• 10+ years of software engineering experience in a production environment
• Experience designing and building backend systems for SaaS applications
• Experience delivering complex, user-facing features end-to-end in collaboration with Product teams
• Experience building APIs and services (REST, GraphQL, or gRPC)
• Experience working with cloud platforms (AWS, GCP, or Azure)
• Experience integrating data, ML, or AI capabilities into production systems

Preferred Qualifications

• Experience with backend languages such as Node.js, Java, Go, or similar
• Experience with Python and data-related tooling (e.g., pandas, ML frameworks)
• Familiarity with data modeling, relational databases, and caching strategies
• Understanding of ML/AI systems, including model integration and common failure modes
• Experience working with containers and distributed systems
• Experience mentoring engineers and contributing to engineering standards

Additional Information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

The Access Management Group 

The Access Management group drives billions of authentications every month. The group builds and supports single sign-on, strong authentication, provisioning, and threat protection technologies. Our Access Management service runs in the cloud on a secure, reliable, extensively audited platform with 99.99% availability.))

The Senior Software Engineer Opportunity

We are looking for an experienced and highly technical full stack software engineer to join the Authentication Experience team. Operating under the larger Access Management group, this team is responsible for building world-class authentication experiences for Okta’s Customer Identity (CIAM) clientele and to play a pivotal role in accelerating the adoption of the Okta Identity Engine, ensuring our customers can leverage the full power of our most advanced platform capabilities to build bespoke, high-performance identity journeys.

Okta supports a wide variety of organizations across both the Workforce and Consumer spaces. These diverse environments present unique challenges; no two organizations have the same requirements when it comes to the desired authentication experience for their end users. We are dedicated to striking the perfect balance between robust security and effortless usability. We are constantly building cutting-edge authentication mechanisms designed to make access seamless, specifically tailored for the fast-paced, user-centric world of consumer identity.

If you are driven to innovate, passionate about the intersection of product flexibility and security, and want to help shape how the world connects to technology—we’d love for you to join us.

What you’ll be doing 

• Partner closely with product managers and designers to bring cutting-edge phishing-resistant authenticators to life
• Design, develop, and maintain scalable, high-performance full-stack solutions that power identity security at enterprise scale
• Wear the customer hat — deeply understand user needs and translate them into robust technical solutions
• Champion code quality, maintainability, and best practices to ensure our solutions remain reliable and secure
• Stay ahead of industry trends and emerging technologies in identity and security, contributing ideas to keep our products innovative and effectiv

What you’ll bring to the role

• 5+ years of professional software development experience, with a strong focus on backend or full-stack engineering
• Deep proficiency in Java, including object-oriented design, multithreading, and performance optimization
• Experience with a modern frontend framework (e.g., React, Angular, Vue.js).
• Experience designing and building scalable, distributed systems and RESTful APIs
• Solid understanding of secure coding practices, authentication/authorization protocols (OAuth, OIDC, SAML), and identity management concepts
• Good understanding of modern cloud infrastructure (e.g. AWS, GCP, Azure)
• Proven ability to deliver high-quality, maintainable code, with a focus on automated testing and CI/CD practices
• Excellent problem-solving skills and the ability to debug complex systems
• Strong communication skills, with the ability to collaborate effectively with product managers, designers, and other engineer

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

• Experience with phishing-resistant authentications such as Passkeys or Okta FastPass

(P24771_3359042)

#BB-1

#LI-Hybrid 

About the Role:

Site Reliability Engineering (SRE) at Tubi is not a traditional operations team. We are a software engineering organization that applies a developer's mindset and toolkit to the challenges of building and running large-scale, distributed systems. Our mission is to engineer resilience from the ground up, enabling our product teams to innovate rapidly while ensuring our users have a stellar experience. We own the availability, latency, performance, and capacity of our platform, and we achieve our goals through a culture of data-driven decision-making, blameless learning, and relentless automation.

We are seeking an experienced and visionary Senior SRE Manager to lead and grow our newly built Site Reliability Engineering team. You are more than a people manager or a tech lead; you are the strategic leader responsible for architecting our reliability roadmap. You will build and mentor a team of talented engineers, foster a culture of blameless learning and continuous improvement, and champion the engineering practices that allow us to balance rapid innovation with rock-solid stability. You will be a key influencer in our engineering leadership, partnering with peers across the organization to ensure reliability is a shared responsibility and a core tenet of our engineering culture.

What You'll Do:

• Team Leadership & Mentorship:
  • Lead, mentor, and grow a team of Site Reliability Engineers. Foster a culture of innovation and technical excellence where engineers feel empowered to do their best work. Provide personalized coaching, create professional development plans, and guide the careers of senior and emerging talent within the team.
  • Establish equitable, sustainable on-call practices (including global coverage where applicable) that protect focus time and avoid burnout.
  • Define team rituals - runbook reviews, game days, and incident retros - that reinforce quality and learning.
• Strategic Planning & Vision: Define and drive the multi-year technical strategy and vision for Tubi’s observability, and automation platforms. Partner with infra lead to align Tubi’s infrastructure & SRE roadmap. Partner with tech leaders to align the SRE roadmap with business objectives. Champion a data-driven approach to reliability, using Service Level Objectives (SLOs) and error budgets to facilitate productive conversations about risk and feature velocity.
• Operational Excellence & Incident Management: 
  • Own the end-to-end availability, performance, and efficiency of our critical user-facing services. Evolve our incident response practice to reduce Mean Time to Resolution (MTTR) and Mean Time Between Failures (MTBF). Champion a rigorous, blameless, and data-driven post-mortem culture to ensure we learn from both successes and failures, driving eng teams for systemic fixes and automation to prevent the recurrence of incidents.
  • Streamline and improve our existing processes and practices, and collaborate with other teams to enhance our production release standards by improving current processes.
  • Define and tune a 24×7 on-call rotation for low noise and fast response; act as executive escalation partner during major incidents.
  • Own disaster-recovery strategy (playbooks, failover drills, recovery simulations) and track SLO gaps with time-bound remediations.
• Financial & Vendor Management: Own the SRE budget, tooling, and headcount. Manage relationships with key third-party vendors for our observability and SRE related AI platforms, work with infra lead and finance team for contract negotiations and ensure we derive maximum value from our investments.
• Cross-Functional Collaboration: Act as a key influencer and strategic partner to leaders in Software Engineering, Product Management, and Infra/Sec. Drive the adoption of SRE best practices and principles throughout the organization, ensuring new services are designed for reliability, scalability, and observability from day one.
• The AI Mandate: Building the Future of Observability with AI. You will not just manage a team that uses AI; you will lead the charge in building an AI-native SRE function. This is a strategic mandate that requires a forward-thinking leader who understands both the potential and the pitfalls of integrating intelligent systems into critical operations. This includes:
  • AIOps Strategy Development: Developing and executing the strategy for integrating AIOps and machine learning into our observability stack. Your goal will be to move the team from a reactive monitoring posture to one of predictive maintenance and automated anomaly detection, fundamentally changing how we ensure reliability.
  • Accelerating Automation with AI: Championing the effective and responsible use of AI-assisted coding tools (e.g., Claude Code, Cursor) within the SRE team. You will set the standards and practices to leverage these tools to accelerate the development of automation, operational tooling, and infrastructure code.
  • Building the Business Case: Building the techno-economic case for new AI tooling, managing vendor relationships, and ensuring the cost-effective and secure implementation of these powerful systems. You must be able to articulate the ROI of these investments in terms of reduced downtime, improved operational efficiency, and faster incident resolution.
  • Fostering Critical AI Literacy: Fostering a culture that can critically evaluate, debug, and learn from the outputs of AI systems. This involves extending our blameless post-mortem philosophy to AI-driven actions and recommendations, ensuring that the team remains in control and understands the "why" behind automated decisions.

Your Background:

• 8+ years of experience in a technical field, with at least a year in an engineering leadership position managing SRE, DevOps, or Production Engineering teams.
• A deep, principled understanding of SRE tenets, including Service Level Indicators (SLIs), SLOs, error budgets, toil reduction, and capacity planning.
• Exceptional communication, negotiation, and influencing skills, with the ability to articulate complex technical concepts and strategies to both technical and non-technical stakeholders at all levels of the organization.
• A strong technical background as a hands-on software engineer or site reliability engineer prior to moving into management. Deep knowledge of AWS services (especially networking, IAM, EKS, ALBs/NLBs, Route 53, CloudWatch). Proven experience with Kubernetes in production (EKS preferred), including service exposure, networking, and availability engineering.
• Hands-on familiarity with modern SRE tools and technologies, including Infrastructure as Code (e.g., Terraform, Ansible), container orchestration (Kubernetes), observability platforms (e.g., Prometheus, Grafana, Datadog, Splunk), and incident tooling (e.g., PagerDuty, FireHydrant), deployment-safety tooling (e.g., Argo Rollouts, LaunchDarkly), and observability standards (e.g., OpenTelemetry).

#LI-BT1

#LI-Hybrid 

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking Software Developer Interns to help us deliver our MyGeotab cloud services. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Software Developer, your key areas of responsibility will be the design, implementation and deployment of MyGeotab. You will work closely with the Cloud Automation and Site Reliability teams to build resilient cloud systems to support our fleet-tracking business.To be successful in this role, you should be a self-starter who can effectively collaborate with hybrid/remote teams. You should be interested in learning new architectures and design patterns. You should be familiar with object-oriented design.

The opportunity:

• 4 - 8 month work-term beginning September 2026.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.
• This posting is for an existing vacancy.

How you'll make an impact:

• Deliver features to production which have immediate impacts to our customers.
• Learn how our systems are deployed and scaled in the cloud.
• Participate in code reviews.
• Learn best practices in automated testing, source control, continuous integration and continuous delivery.

What you'll bring to the role:

Braze is seeking a Lead Analyst with a deep background in DBT development and Go-To-Market Analytics to join our Business Analytics team within the broader Growth Data organization.

As Braze scales, we are aggressively modernizing our data infrastructure to serve our Go-To-Market (GTM) teams. We need an experienced practitioner with a proven track record of developing scalable data models who holds themselves to the highest standards of the Modern Data Stack. Sitting within our Business Analytics function, you will work in a tight feedback loop with GTM operators and revenue leaders, operating with significantly more business context than a traditional, siloed data role.

You will serve as a foundational architect for many of our revamped GTM data models—bridging the gap between raw operational data and strategic execution while refactoring legacy models that no longer meet the needs of a scaling business. Though you will spend the vast majority of your time developing models in dbt, you are expected to be a full-cycle practitioner. This means occasionally stepping out of the DAG to perform deep-dive analysis in Python or curate the final Looker experience to ensure your architecture translates into executive action.

Location & Eligibility: You must currently reside in Canada and possess independent work authorization. We cannot provide visa sponsorship or relocation assistance for this role.

Who This Role is NOT For:

• Dashboard Builders: If your primary comfort zone is dragging and dropping in Tableau or PowerBI, and you do not actively write DRY, modular dbt code, this role is not a fit. We are hiring a code-first data architect, not a report builder.
• ML Deployers or Data Scientists: While you will use Python for complex ad-hoc analysis, we are not deploying predictive Machine Learning models into production. If you want to be an ML Engineer, you will be bored here.

WHAT YOU'LL DO

• Data Architecture & Refactoring: Lead the deprecation of legacy, undocumented reporting layers. Design, deploy, and govern highly modular, scalable data pipelines using advanced dbt methodologies (Jinja, custom macros, incremental materializations, and robust testing).
• Strategic GTM Modeling: Act as a key architect for our GTM data models. Untangle underserved operational processes and translate them into scalable, reliable data products that expand beyond basic Salesforce objects.
• Technical Standards Leadership: Serve as a senior DBT practitioner by reviewing PRs, providing technical mentorship, and elevating the team's development baseline through rigorous code standards. Thoughtfully leverage AI to automate rote tasks (style compliance, docs) to free up time for higher-leverage work.
• High-Agency Project Ownership: Drive the end-to-end execution of strategic analytics initiatives by interfacing directly with a complex matrix of stakeholders—including Data Engineering, Business Systems, GTM Operations, and Salesforce Administrators. You are expected to proactively capture the technical reality of their workflows, scope solutions from first principles, and design the models that constrain and optimize organizational decision-making with minimal supervision.
• Advanced Analysis: Utilize Python (pandas, scikit-learn) for complex analytical needs—such as evaluating lead scoring or the impact of GTM touchpoints on pipeline conversion—that exceed the limits of SQL. You surface signals from operational processes to drive GTM efficiency.
• BI Layer Execution: Develop LookML models and dashboards as needed to finalize the delivery of your data products. You ensure the visualization layer remains an accurate and performant reflection of the underlying dbt architecture.
• Semantic Governance: Build and maintain a robust semantic layer in dbt to provide strict guardrails for business users, enabling safe, reliable self-service analytics free from metric divergence.

WHO YOU ARE

• Experience: 4–5+ years of dedicated individual contributor experience in data architecture, dbt development, or advanced data modeling.
• Core Technical Proficiency: Expert-level SQL and advanced dbt capabilities are strictly required. You must be heavily experienced in dimensional modeling, utilizing modern cloud data warehouses. Experience with dbt semantic layers is a major plus.
• Strong Data Model and Product Design Acumen: You go beyond delivering the requested specifications given by stakeholders to deliver data products that actually address the underlying business problem. You are capable of translating vaguely defined business problems or processes with little documentation into clearly articulated requirements. When designing models, you account for organizational ambiguity and think several moves ahead to ensure that future projects do not require a full pipeline refactor.
• Analytical Agility: Proficiency in Python (pandas, scikit-learn) to handle ad-hoc analysis, statistical modeling, outlier identification, diagnosing data quality issues, and analytical edge cases.
• Domain Expertise: Deep understanding of B2B SaaS Go-To-Market operations, GTM funnels, and Revenue Operations data modeling. You understand the commercial implications of business data just as deeply as the computational implications of a complex table join.

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between CA$121,700-CA$143,200/year, with an expected On Target Earnings (OTE) between CA$135,200-CA$159,100/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

What You'll Be Doing:

• Design and build scalable data pipelines, batch jobs, and streaming processes that power analytics and machine learning.
• Implement and optimize data storage systems (warehouses, lakes, analytical databases) with a focus on reliability, lineage, and governance.
• Develop tools and frameworks to support data orchestration, ETL workflows, and big data processing.
• Collaborate with engineers, data scientists, and product managers to align platform capabilities with business needs.
• Ensure data systems meet requirements for quality, scalability, and cost efficiency in cloud environments.
• Contribute to technical discussions, code reviews, and system design sessions.
• Take ownership of features and projects, driving them from concept to production.

About Geotab Vitality:

Geotab Vitality is not just a joint venture; it's a pioneering force at the intersection of telematics and behavioral science, reimagining how global fleets operate. As a collaborative powerhouse between Geotab and Vitality Global, we're leveraging Geotab’s vast network of 55,000+ customers and 800+ global reseller partners to drive material improvements in driver safety, sustainability, productivity, and efficiency.

What you'll do: 

We are seeking an experienced and highly-motivated Senior Software Developer to take on a senior technical role within our development organization. This individual will be a key driver in developing our applications, ensuring code quality and consistency within the team, and creating a seamless, efficient environment for our development teams to build from.

This is a unique opportunity for a forward-thinking engineer to have significant technical freedom and directly influence our aim for a modern, cloud-first architecture, including the selection and implementation of new technology stacks together with the team.

How you'll make an impact:

• Lead the technical design and implementation of complex, ambiguous features and services from concept to deployment.

• Take hands-on ownership of critical coding tasks, translating complex business needs into robust, scalable, and well-tested solutions.

• Participate in technical decision-making by providing recommendations, evaluating trade-offs, and assessing risks.

• Research, prototype, and advocate for emerging technologies and patterns to solve complex problems and improve system efficiency.

• Identify and champion opportunities for technical improvement and refactoring, looking beyond immediate tasks to address long-term system health.

• Champion and enforce coding standards, conventions, and best practices across the team.

• Actively contribute to evolving branching strategies, version control workflows, and release management processes.

• Conduct in-depth, constructive code reviews that focus on architecture, scalability, performance, and long-term maintainability.

• Provide detailed feedback that elevates code quality and promotes knowledge sharing across the team.

• Proactively identify, prioritize, and drive the execution of plans to refactor and manage technical debt.

• Implement preventive measures to minimize accumulation of new technical debt.

• Identify and remove friction in the development lifecycle by improving build tools, CI/CD pipelines, testing automation, and local environments.

• Enhance system observability and create comprehensive technical documentation.

• Act as a technical mentor for junior and mid-level engineers through pair programming, design discussions, and day-to-day guidance.

• Serve as a key escalation point for complex debugging, guiding the team to identify root causes and implement robust solutions.

• Lead knowledge-sharing sessions and promote a culture of continuous learning.

What you'll bring to this role: 

• Post-Secondary Diploma/Degree specialization in Computer Science, Software Engineering, or related field.

• 5+ years of experience in Software development or similar roles with demonstrated progression in technical complexity and ownership.

• Hands-on experience with Google Cloud services and gcloud CLI for cloud-native application development and deployment.

• Strong proficiency in building scalable, high-performance applications using C# and .NET Core framework.

• Experience designing, developing, and maintaining distributed systems using microservices patterns.

• Proficient in container orchestration, deployment, scaling, and management using Kubernetes.

• Strong understanding of containerization technologies and Docker best practices.

• Experience with IaC tools and practices for automated infrastructure provisioning and management.

• Deep knowledge of OIDC and OAuth 2.0 protocols, implementation, and security best practices.

• Proficiency in managing environment variables and configuration management across multiple environments.

• Demonstrated ability to establish and drive technical standards and code governance policies.

• Strong understanding of modern software architecture, design patterns, and cloud-native principles.

• Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

• Exceptional analytical and problem-solving abilities with a systematic approach to debugging complex issues.

• Proactive mindset with ability to identify technical improvements and advocate for solutions.

• Able to balance multiple priorities and manage time effectively in a fast-paced environment.

• Strong collaboration skills with proven ability to work effectively in cross-functional teams.

• This position has no managerial responsibilities and no direct reports.

Why job seekers choose Geotab:

Why job seekers choose Geotab:

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Cloud Automation Engineer who will be responsible for managing and monitoring the performance of the server infrastructure on the public cloud—specifically Google Compute Engine—as part of the Cloud Automation team. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you’ll do:

As a Senior Cloud Automation Engineer, your key area of responsibility will be creating automated infrastructure management systems, written primarily in Python and Powershell, while overseeing complex Cloud Automation/DevOps projects. You will be responsible for the implementation of the project tasks, such as designing and building software to maintain IaaS solutions, as well as managing day-to-day activities like system-level tuning and debugging. You will also need to provide regular status reports to key partners to ensure the project is on time and meeting expectations. You will need to work closely with internal technical teams, such as Software, Engineering Support, and Database Administration, as well as collaborate in a cross-functional team with senior engineers.

To be successful in this role you will be a strong team-player with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.

How you’ll make an impact:

• Design and build software to deploy, configure, and maintain IaaS solutions for internal and customer-facing applications.

• Build out automation tools and work with public cloud APIs to enhance infrastructure efficiency.

• Review Cloud Automation/DevOps monitoring tools and develop rapid detection and response systems.

• Perform system-level tuning and debugging in public cloud or containerized environments.

• Create and maintain documentation regarding configuration, processes, and security while contributing to the departmental WIKI.

• Utilize Big Data tools for large-scale log collection, analysis, and dashboard creation.

What you’ll bring to this role:

• 5+ years of experience in software development.

• Specialized expertise in programming languages (Python, C#, or Java) and scripting languages (Powershell or Bash).

• Proven experience with cloud computing platforms such as GCP, AWS, or Azure.

• Working knowledge of databases, SQL, and Big Data tools; experience with Postgres or Google BigQuery is a strong asset.

• Highly organized self-starter able to work well under pressure and manage multiple tasks simultaneously.

• Entrepreneurial mindset with the flexibility to adapt to growing technology and market demands.

• Professional certifications such as Google Cloud Certified, Professional Cloud Architect, or AWS Certified are considered an asset.

Why job seekers choose Geotab:

Tenstorrent’s AI Software Infrastructure team builds the platforms that power internal development, orchestrate workloads, and manage large-scale AI hardware across on-prem data centers. This team develops and productionizes infrastructure used both internally and externally on Tenstorrent systems.

This role is hybrid, based out of Toronto, ON; Santa Clara, CA; Austin, TX; Belgrade, Serbia; Warsaw, Poland; or Gdańsk, Poland.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Strong backend or infrastructure engineer with experience building and operating platforms on bare-metal or on-prem systems.
• Deep experience with Kubernetes, including cluster provisioning, operations, and debugging production issues.
• Proficient in Python or Go with experience building APIs and services.
• Comfortable with Linux systems, networking fundamentals, and debugging distributed systems.
• Collaborative and adaptable, able to work across teams in fast-moving environments.

What We Need

• Design, build, and maintain infrastructure platforms for development workflows, workload orchestration, and ML services.
• Develop APIs and services that enable internal teams to interact with infrastructure systems.
• Productionize and scale Kubernetes-based platforms, including cluster management and operational maturity.
• Integrate automation workflows using CI/CD pipelines and infrastructure-as-code tools such as Ansible and GitOps frameworks.
• Collaborate with SRE, infrastructure, and deployment teams to support large-scale on-prem and customer-facing environments.

What You Will Learn

• How large-scale AI infrastructure is built and operated on custom accelerator hardware.
• Advanced Kubernetes patterns including operators, controllers, and production-scale cluster management.
• How on-prem data center infrastructure differs from cloud-native environments at scale.
• How infrastructure platforms evolve from internal tools to production-grade external systems.
• How cross-functional teams coordinate to deploy and support AI systems in real-world environments.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

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

The Tensix team is building the high-performance compute fabric that powers Tenstorrent’s AI and ML workloads. As an AI Performance Architect, you will model, analyze, and optimize how real AI workloads run on the Tensix architecture, shaping future hardware features and ensuring every design decision delivers measurable performance gains. This role connects architecture, software, and RTL to push the limits of efficiency and scalability across next-generation AI systems.

This role is hybrid, based out of Toronto, ON; Austin, TX; or remote.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Deeply analytical engineer with strong intuition for AI workload behavior and system-level performance bottlenecks.
• Experienced in C++ and Python for simulation, modeling, and performance analysis across heterogeneous compute systems.
• Adept at bridging software and hardware teams—translating deep learning workloads into architectural insight and measurable design tradeoffs.
• Curious, data-driven, and comfortable pushing the limits of efficiency, scalability, and accuracy in high-performance AI systems.
  
  

What We Need

• Benchmark and analyze complex AI workloads across single and multi-node hardware configurations to guide next-gen architecture.
• Develop and maintain performance models, simulators, and micro-benchmark suites to drive feature evaluation and design optimization.
• Conduct detailed PPA (Performance, Power, Area) studies to assess design tradeoffs and inform hardware-software co-design decisions.
• Collaborate closely with RTL, Compiler, and Runtime teams to instrument and correlate performance models with silicon results.
  
  

What You’ll Learn

• Advanced modeling techniques for large-scale AI systems, including multi-chip and distributed performance analysis.
• How architectural choices propagate through the software stack—from compiler and runtime layers down to custom AI accelerators.
• Emerging deep learning trends and their impact on compute architecture design and performance tuning.
• How to define and validate performance features that directly translate to measurable gains across real-world AI workloads.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

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

Join the team revolutionizing AI computing at Tenstorrent. You'll work on TT-Forge, our MLIR-based compiler that enables developers to run AI on all configurations of Tenstorrent hardware using an open-source, performant, and general-purpose compiler. You will be at the forefront of the AI hardware revolution, building compiler technologies that redefine what’s possible.

 This role is hybrid, and can be based out of Santa Clara, CA; Austin, TX; or Toronto; ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A passionate software engineer eager to work on compiler technologies and the challenges of AI hardware, whether from compilers, systems, or broader software backgrounds.
• Fluent in C++ and Python, with experience building complex systems that bridge high-level frameworks to low-level execution.
• Excited by compiler optimization and machine learning, with experience in PyTorch, JAX, TensorFlow, or deep systems programming.
• A collaborative problem-solver who thrives in open-source and enjoys working closely with hardware and software engineers.

What We Need

• A drive to solve novel challenges in AI compilation, from optimizing computational graphs to creating custom dialects and transformation passes.
• Experience or strong interest in MLIR and how modular compiler frameworks connect AI models to advanced hardware.
• Motivation to build technology that impacts the future of AI, knowing your work will enable the next wave of breakthroughs.

What You Will Learn

• How to build open-source compiler frameworks supporting diverse AI models and workloads, including training and multi-chip scaling.
• Deep expertise in compiler technologies including custom MLIR dialects (TTIR, TTNN, TTKernel) and transformation passes.
• New methods for human-in-the-loop compiler optimization using TT-Explorer, making advanced tuning tools usable by all developers.
• How compiler technology powers Tenstorrent’s mission to deliver affordable, open-source AI computing in a highly competitive space.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

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

• Experienced compiler engineer with deep knowledge of GCC and LLVM internals, comfortable optimizing for custom hardware targets.
• Strong C/C++ developer with a solid grasp of algorithms, data structures, and performance analysis.
• Collaborative and analytical, able to work across hardware and software domains to deliver efficient, high-performance toolchains.
• Passionate about enabling breakthrough compute architectures through compiler innovation and software-hardware co-design.

• Design, develop, and optimize GCC and/or LLVM compilers for Tenstorrent’s custom RISC-V hardware and AI vector engines.
• Contribute to the co-design of Tenstorrent’s hardware and software stack to maximize performance and programmability.
• Benchmark, analyze, and tune performance of core applications across RISC-V and AI software environments.
• Collaborate with ML engineers to identify and implement compiler support for emerging AI workloads and frameworks.

• How compiler design directly impacts the performance and efficiency of next-generation RISC-V and AI architectures.
• Advanced techniques in hardware-software co-optimization and compiler-driven performance tuning.
• Integration of custom compilers with leading ML frameworks and runtime environments.
• The end-to-end toolchain flow that enables Tenstorrent’s scalable, high-performance AI compute systems.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

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

Join the team revolutionizing AI computing at Tenstorrent. You'll work on TT-Forge, our MLIR-based compiler that enables developers to run AI on all configurations of Tenstorrent hardware using an open-source, performant, and general-purpose compiler. You will be at the forefront of the AI hardware revolution, building compiler technologies that redefine what’s possible.

 This role is hybrid and based out of Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A passionate software engineer eager to work on compiler technologies and the challenges of AI hardware, whether from compilers, systems, or broader software backgrounds.
• Fluent in C++ and Python, with experience building complex systems that bridge high-level frameworks to low-level execution.
• Excited by compiler optimization and machine learning, with experience in PyTorch, JAX, TensorFlow, or deep systems programming.
• A collaborative problem-solver who thrives in open-source and enjoys working closely with hardware and software engineers.

What We Need

• A drive to solve novel challenges in AI compilation, from optimizing computational graphs to creating custom dialects and transformation passes.
• Experience or strong interest in MLIR and how modular compiler frameworks connect AI models to advanced hardware.
• Motivation to build technology that impacts the future of AI, knowing your work will enable the next wave of breakthroughs.

What You Will Learn

• How to build open-source compiler frameworks supporting diverse AI models and workloads, including training and multi-chip scaling.
• Deep expertise in compiler technologies including custom MLIR dialects (TTIR, TTNN, TTKernel) and transformation passes.
• New methods for human-in-the-loop compiler optimization using TT-Explorer, making advanced tuning tools usable by all developers.
• How compiler technology powers Tenstorrent’s mission to deliver affordable, open-source AI computing in a highly competitive space.

About Behavox

Behavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.

At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems.

Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot.

Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo.

About the Role

The Software Engineer (Java) operates at a senior engineer level, driving technical direction across core product domains. The role combines deep hands-on Java engineering with architectural ownership — from high-level system design and technology selection to leading delivery of critical, cross-cutting platform capabilities.

At this level, engineering excellence extends beyond implementation: the engineer determines the right approach to complex problems, communicates technical decisions across functions, participates in hiring, and is accountable for the long-term health of the systems they own. This level demands sound judgment on technology and business trade-offs and the ability to act as a technical lead. A defining expectation is mastery of AI-assisted engineering — leveraging agentic AI tools as force multipliers while retaining full ownership of architecture, quality, and technical outcomes.

What You'll Bring

• Expert Java engineering: Deep understanding of Java internals — GC tuning, Collections Framework, advanced concurrency (java.util.concurrent, multithreading), NIO/NIO2, performance profiling, and heap-dump analysis. Mastery of Spring Framework (IoC/DI, bean lifecycle, Spring Boot). SOLID principles, Clean Code practices, and GoF design patterns
• Software architecture and design patterns: Expertise in monolith and microservices architectural styles — including migration patterns and domain-driven decomposition. Inter-process communication design (REST, gRPC, messaging), transaction management in distributed systems (Sagas, 2PC), CQRS, Event Sourcing, and external API design focused on scalability, security, and documentation
• Cloud-native platforms and infrastructure: Experience designing high-availability and high-load systems on GCP (preferred), AWS, and Azure. Cloud security best practices: IAM, VPC, data encryption, JWT/JWS/JWE. Infrastructure as Code (Terraform or equivalent) and Twelve-Factor App methodology
• Observability, reliability and deployment: Implementing full observability stacks: structured logging, distributed tracing, metrics, and alerting. SLI/SLO/SLA frameworks. Deployment strategies: Rolling Updates, Blue/Green Deployments, Canary Releases
• AI-assisted engineering: Practitioner-level command of agentic AI tools applied to software engineering — encompassing prompt engineering techniques, AI context management and its limitations, sub-agents, skills and plugins, multi-agent orchestration, and team-of-agents architectures. Experience with Claude Code (Anthropic), Codex (OpenAI), or equivalent is mandatory

What You'll Do

• Architecture and technology leadership: Lead high-level design for complex, cross-service features. Evaluate and select appropriate technologies, frameworks, and architectural patterns before delegating implementation. Produce and maintain architecture documentation: design docs, ADRs, tech specs, and wiki pages
• Advanced Java feature implementation: Own and implement critical product components — including prototyping, architecture validation, and production-grade code. Ensure correctness, performance, and long-term maintainability with comprehensive test coverage (unit, integration, contract, component)
• Technical roadmap contribution: Drive the engineering agenda for assigned product areas. Proactively identify gaps in requirements, architectural limitations, and technical risks. Contribute to product roadmap planning and delivery estimation. Participate in hiring processes
• Cross-functional technical communication: Drive technical communication across engineering, product, DevOps, and ML teams. Communicate technical decisions clearly to non-technical stakeholders. Produce design documents and participate in tech talks and knowledge-sharing sessions
• AI-augmented engineering: Direct agentic AI tools (Claude Code, Codex, or equivalent) across the full engineering workflow — code generation, testing, refactoring, debugging, and documentation. Demonstrated ability to apply advanced prompt engineering, manage AI context limitations, compose multi-agent orchestration workflows, and critically evaluate AI-generated outputs for correctness, security, and quality. Ability to establish guardrails and improve agent configurations to raise the quality bar. AI proficiency amplifies — it does not replace — deep engineering judgment and technical accountability

What We Offer

• The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies
• A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence
• A highly attractive benefits package, including competitive cash compensation, an equity award aligned with long-term value creation, and comprehensive health insurance for employees and their families
• Modern, comfortable offices in Montreal/ Toronto downtown, with an expectation of working from the office 1 day per week, reflecting our belief in strong in-person collaboration, while remaining flexible to accommodate remote work for candidates who live in other Canadian cities
• A generous time-off policy of 30 days annually, plus public holidays and sick leave, recognising the importance of sustained high performance

About Our Process

Our selection process is designed to rigorously assess a candidate’s depth of technical knowledge, problem-solving ability, and alignment with Behavox’s mission and core values.

As part of the process, candidates will first participate in a series of interviews focused on evaluating their technical expertise and engineering judgment. Candidates who successfully progress through these interviews will then be invited to complete a live technical exercise. The purpose of this live technical assessment is to validate the candidate’s stated technical competencies and assess their ability to solve complex problems with speed, accuracy, and sound engineering judgment. Note that whenever possible, we aim to conduct interviews in person at our offices.

We recognise and respect the time candidates invest in this process. In return, Behavox commits significant time and resources to ensure that those who join us have the capability, judgment, and alignment required to operate at the speed and level of complexity our work demands. We value efficiency and clarity on both sides; if at any point we determine that a candidate is not a fit, we reserve the right to immediately conclude the interview or the technical assessment.

Please note the following:

• A core objective of the process is to objectively assess individual knowledge and competencies. The use of AI tools or external assistance during live interviews or technical exercises is strictly prohibited (unless explicitly instructed otherwise) and will result in immediate disqualification.
• Interviews and technical sessions may be recorded for internal review to support fairness, consistency, and collaborative decision-making within the hiring team.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a Senior Systems Engineer within our Engineering Strategy and Operations group. Our Research and Development (R&D) department is dedicated to accelerating innovation. This role expedites internal R&D business systems development and bridges Fivetran feature development processes with business operations and data insights. You will be instrumental in building the infrastructure and tools that provide our R&D and business leaders with a unified, real-time view of R&D operations efficiency and market alignment.

We are seeking a highly motivated and skilled Systems Engineer to design, build, and maintain the critical systems and data pipelines that support our R&D organization. This role focuses on implementing technical solutions for key engineering and product processes, integrating core enterprise platforms, and transforming raw data into actionable business intelligence.

This is a full-time, hybrid position based out of our Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

TypeScript/JavaScript, Python, and React; extend Atlassian Cloud via Forge and ScriptRunner; manage data flows in BigQuery and SQL; and deploy solutions on GCP using modern CI/CD practices.

What You’ll Do

• Lead the development of custom system solutions, tools, and dashboards that power the R&D operations and seamless data flow and process alignment across the Fivetran feature development lifecycle.

• Design, develop, and maintain bidirectional integrations between core platforms such as Jira, Zendesk, Salesforce, and other GTM and G&A Systems to streamline the feature development lifecycle and R&D operations.

• Create ground-up and maintain custom AI agents and internal tools to help engineering managers, product Managers and leadership quickly access relevant data, draft compelling technical requirements and design, synthesize customer feedback, and align with strategic goals and OKRs to improve operational efficiency and launch innovative products faster.

• Design and build production-grade backend services and integration workflows in Python and TypeScript.

• Define API contracts, data models, and integration patterns with strong attention to reliability, idempotency, and security.

• Write high-quality, tested code with clear standards for unit, integration, and end-to-end testing.

• Own observability, operational readiness, and production support for internal tools and data pipelines.

• Build maintainable React-based internal applications with strong UX, accessibility, and performance practices.

• Leverage AI assistants to streamline IDE-based development in real-time and Coding Agents, such as Claude Code, to automatically generate code for use cases such as incident resolution, feature development, testing, investigations, and documentation.

• Create comprehensive technical documentation for all integrations, data models, and deployed systems.

• Build, maintain, and govern self-service analytics dashboards using tools such as Sigma and Looker Studio to measure and drive operational excellence in feature delivery and business velocity, in partnership with our centralized analytics team.

Skills We’re Looking For

• 5+ years of experience in the software industry with a passion for solving complex system engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch, leveraging industry best practices

• Proven experience developing integrations using APIs (REST/GraphQL), webhooks, and modern programming/scripting languages (Python, Java), and building systems leveraging low-code and full code solutions, and deploying them using modern CI/CD practices and ensuring observability.

• Strong proficiency in SQL, experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift), and experience with BI and data visualization tools such as Sigma, Looker Studio, Tableau, or Power BI.

• Experience building ground-up and deploying AI/ML-powered utilities or agents using LLMs (e.g., OpenAI, Claude, etc.) to automate code writing, documentation, or deliver intuitive and effective user-facing prototypes and full-scale solutions.

• Hands-on experience using, administering, and customizing core enterprise systems: Jira, Slack, Zendesk, Salesforce, Aha!, etc.

• Excellent communication skills in English with the ability to bridge the gap between technical details and business outcomes.

• Experience working cross-functionally with global, engineering, product, design, and data analytics teams.

• Ability to independently drive complex projects, breaking down large-scale initiatives into phased deliverables that provide eminent value to users without compromising on the vision and overall OKRs. 

Bonus Skills​

• 3+ years of experience in automation/operations roles within high-growth SaaS or tech companies.

• Familiarity with the modern data stack (e.g., dbt, Airflow, Fivetran, Segment, or similar).

• Experience building custom internal tools, AI agents, or web applications to support business operations.

This role represents new headcount added to the team to support continued growth and expansion of capabilities.

#LI-HYBRID #LI-DC2

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, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems.

The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. Rider Engagement develops rider-facing engagement levers and optimizes user pricing experience to drive both short term and long term business outcomes. We work with Product & Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you.

Responsibilities:

• Drive high-impact projects and innovate new solutions to provide the best user experience.
• Work closely with cross-functional teams and partner teams to develop solutions based on technology and business needs, and advance team’s goals and priorities
• Independently lead features from idea to positive execution and launch
• Unblock, support and communicate with internal partners to achieve results
• Write well-crafted, well-tested, readable, maintainable code
• Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions
• Participate in code reviews to ensure code quality and distribute knowledge, as well as on call rotations
• Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices

Experience:

• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
• 3+ years of software engineering industry experience
• Extensive experience in object oriented programming, ideally in GoLang or Python
• Experience in backend software development of distributed systems and concurrency
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

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.

About The Role

Engineers on the inference performance team operate at the intersection of hardware and software, driving end-to-end model inference speed and throughput. Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation, and the development of tooling for performance projection and diagnostics.

Responsibilities

• Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models.
• Optimize and debug our kernel micro code and compiler algorithms to elevate ML model inference speed, throughput and compute utilization on the Cerebras WSE.
• Debug and understand runtime performance on the system and cluster.
• Develop tools and infrastructure to help visualize performance data collected from the Wafer Scale Engine and our compute cluster.

Requirements

• Bachelors / Masters / PhD in Electrical Engineering or Computer Science.
• Strong background in computer architecture.
• Exposure to and understanding of low-level deep learning / LLM math.
• Strong analytical and problem-solving mindset.
• 3+ years of experience in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC).
• Experience working on CPU/GPU simulators.
• Exposure to performance profiling and debug on any system pipeline.
• Comfort with C++ and Python.

Senior Solution Sales Engineer (Auth0) - 

Position Description: 

We believe Solutions Engineers at Okta are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.  We believe in Okta’s Solutions Engineers empathize with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilize both. As a Senior Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of Fortune 500 customers on what is possible using Okta’s Identity Platform. 

• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.  
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Required Skills:

• 5+ years pre-sales engineering experience
• A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
• An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard 
• A Strong Understanding of Identity & Access Management (IAM)
• SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
• Lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Experience with cloud platforms: AWS, Azure, GCP.
• You are an elite communicator
• Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
• Confident dispensing knowledge to a highly skilled and experienced audience
• Typically 10-25% travel
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

#LI-remote

#LI-LSS1

P20489_3423141

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

We’re seeking a Senior Lead Machine Learning Engineer to architect, ship, and scale the next generation of agentic intelligence across Upwork. You will lead end‑to‑end development of AI agents and the platform that powers them—from LLM training and evaluation to runtime orchestration, safety, and developer APIs. This is a hands‑on, high‑impact role at the intersection of applied research and platform engineering, enabling internal teams and external developers to build reliable, safe, and high‑performing agents on Upwork.

Responsibilities

• Build Agentic Intelligence.  Design and implement multi‑agent systems (planning, tool‑use, memory, debate/critique, reflection) with robust guardrails and recovery strategies.
• Develop protocol‑aware agents and services that interoperate cleanly with developer tooling (e.g., agent frameworks and protocols such as MCP). 
• Own reliability at scale: deterministic execution where needed, idempotency, timeouts/retries, and evaluation‑driven iteration on agent behavior.
• Train, Align, and Evaluate LLMs for Agents.  Lead data strategy and curation for agent tasks; drive SFT, DPO, RLHF/RLAIF, and safety tuning tailored to multi‑tool, multi‑step workflows.
• Stand up evaluation harnesses for functional, task, and longitudinal metrics (success rate, time‑to‑completion, hallucination/escape rates, cost/latency).
• Build policy‑driven guardrails; partner with Legal/Security on data governance and privacy.
• Engineer Agentic Platform Backend Infrastructure.  Architect low‑latency inference, retrieval, and orchestration services (streaming, event‑driven pipelines; scalable queues; caching; batching) with strong SLOs.
• Ship production‑grade services (APIs/SDKs, auth, rate limiting, observability) that make agent features easy to integrate for internal and external developers. 
• Optimize cost/performance via quantization, distillation, model‑routing, and autoscaling; integrate evaluation signals directly into runtime and CI/CD.
• Lead, Partner, and Uplevel the Ecosystem.  Provide technical leadership across research, product, and platform teams; mentor senior ICs; influence roadmaps with clear metrics and trade‑offs.
• Publish internal guidance and exemplar implementations; contribute to technical content, samples, and reference architectures for our agent platform. 
• Define and track KPIs for data/quality/throughput, and drive continuous improvement using experiment results and production telemetry.

What it takes to catch our eye

• 8–12+ years in applied ML/ML systems with 4+ years building LLM‑powered products; proven delivery of agentic workflows in production.
• Hands‑on mastery of LLM adaptation (prompting, tool/function calling), data curation, and safety/guardrails.
• Strong software fundamentals (distributed systems, transactions, consistency, resiliency) and experience building high‑throughput microservices/APIs/SDKs.
• Fluency with Python; proficiency in one of Go/Java/Javascript a plus. Experience with container orchestration, messaging/streaming, and observability stacks.
• Experience designing eval suites for agents (task/rubric‑based, offline/online) and closing the loop from evals → training → runtime policy.
• Comfort with cost, latency, and reliability trade‑offs; you use metrics to make crisp decisions under ambiguity.
• Familiarity with agent frameworks and protocols (e.g., MCP; API/SDK design for developer productivity).
• Track record of leading cross‑functional initiatives and mentoring senior engineers; excellent written communication and bias for measurable results.

Come change how the world works.

Upwork is establishing its first international operational hub in Lisbon, Portugal. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (EEA, UK, and Switzerland). 

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

We’re seeking a Senior Lead Machine Learning Engineer to architect, ship, and scale the next generation of agentic intelligence across Upwork. You will lead end‑to‑end development of AI agents and the platform that powers them—from LLM training and evaluation to runtime orchestration, safety, and developer APIs. This is a hands‑on, high‑impact role at the intersection of applied research and platform engineering, enabling internal teams and external developers to build reliable, safe, and high‑performing agents on Upwork.

Responsibilities

• Build Agentic Intelligence.  Design and implement multi‑agent systems (planning, tool‑use, memory, debate/critique, reflection) with robust guardrails and recovery strategies.
• Develop protocol‑aware agents and services that interoperate cleanly with developer tooling (e.g., agent frameworks and protocols such as MCP). 
• Own reliability at scale: deterministic execution where needed, idempotency, timeouts/retries, and evaluation‑driven iteration on agent behavior.
• Train, Align, and Evaluate LLMs for Agents.  Lead data strategy and curation for agent tasks; drive SFT, DPO, RLHF/RLAIF, and safety tuning tailored to multi‑tool, multi‑step workflows.
• Stand up evaluation harnesses for functional, task, and longitudinal metrics (success rate, time‑to‑completion, hallucination/escape rates, cost/latency).
• Build policy‑driven guardrails; partner with Legal/Security on data governance and privacy.
• Engineer Agentic Platform Backend Infrastructure.  Architect low‑latency inference, retrieval, and orchestration services (streaming, event‑driven pipelines; scalable queues; caching; batching) with strong SLOs.
• Ship production‑grade services (APIs/SDKs, auth, rate limiting, observability) that make agent features easy to integrate for internal and external developers. 
• Optimize cost/performance via quantization, distillation, model‑routing, and autoscaling; integrate evaluation signals directly into runtime and CI/CD.
• Lead, Partner, and Uplevel the Ecosystem.  Provide technical leadership across research, product, and platform teams; mentor senior ICs; influence roadmaps with clear metrics and trade‑offs.
• Publish internal guidance and exemplar implementations; contribute to technical content, samples, and reference architectures for our agent platform. 
• Define and track KPIs for data/quality/throughput, and drive continuous improvement using experiment results and production telemetry.

What it takes to catch our eye

• 8–12+ years in applied ML/ML systems with 4+ years building LLM‑powered products; proven delivery of agentic workflows in production.
• Hands‑on mastery of LLM adaptation (prompting, tool/function calling), data curation, and safety/guardrails.
• Strong software fundamentals (distributed systems, transactions, consistency, resiliency) and experience building high‑throughput microservices/APIs/SDKs.
• Fluency with Python; proficiency in one of Go/Java/Javascript a plus. Experience with container orchestration, messaging/streaming, and observability stacks.
• Experience designing eval suites for agents (task/rubric‑based, offline/online) and closing the loop from evals → training → runtime policy.
• Comfort with cost, latency, and reliability trade‑offs; you use metrics to make crisp decisions under ambiguity.
• Familiarity with agent frameworks and protocols (e.g., MCP; API/SDK design for developer productivity).
• Track record of leading cross‑functional initiatives and mentoring senior engineers; excellent written communication and bias for measurable results.

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (Canada). 

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

As a Lead AI Engineer on our Data Platform & Services (DPS) team, you will bridge deep data engineering expertise with emerging AI capabilities to build production-grade AI-powered systems. You’ll design and deploy agentic frameworks, natural language querying (NLQ) capabilities, and prompt/LLM evaluation strategies that unlock insights at scale across Upwork. This is an opportunity to deliver tangible impact, enabling faster decision-making, democratizing data access, and empowering analysts and stakeholders throughout the company.

Responsibilities:

• Design and implement scalable agentic frameworks that coordinate multiple AI agents to deliver accurate and reliable outcomes.
• Build and optimize natural language query solutions that provide compliant, intuitive, and self-service access to enterprise data.
• Develop and maintain evaluation frameworks for LLMs and prompts, driving measurable improvements in accuracy, scalability, and resilience.
• Partner with data engineering peers to integrate AI orchestration with Python, SQL, and Snowflake pipelines.
• Contribute to AI-powered summarization and explanation tools that enhance reporting, insights, and executive reviews.
• Collaborate cross-functionally with product, analytics, and business teams to ensure solutions meet measurable business goals.

What it takes to catch our eye:

• Proven experience delivering AI-powered data systems in production, including hands-on expertise with LLMs and prompt engineering.
• Strong foundation in modern data engineering, with proficiency in Python, SQL, and platforms such as Snowflake.
• Demonstrated ability to design agentic orchestration frameworks that scale across diverse business scenarios.
• A collaborative problem-solver with strong communication skills, able to align stakeholders and create clarity across teams.
• Growth mindset—excited to learn, iterate, and deliver measurable business outcomes through applied AI.

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (Canada). 

WHAT YOU'LL DO

Join the AI Platform team at Braze to build and scale BrazeAI Decisioning Studio - a reinforcement learning platform at the forefront of AI Decisioning. The platform runs continuous experimentation and personalizes customer engagement at the individual level, helping brands move from rule-based campaigns to autonomous, self-optimizing interactions. You'll work at the intersection of cloud-native infrastructure, data-intensive systems, and machine learning in production.

Main responsibilities:

• Build and maintain critical services and subsystems on our AI platform, balancing performance with cost-effective operations
• Implement cloud-native solutions that ensure reliability, scalability, and fault tolerance
• Troubleshoot production incidents end-to-end, going deep to identify root causes and implement durable fixes
• Contribute to observability practices using Sentry and Datadog to proactively detect issues and minimize downtime
• Collaborate with data scientists, ML engineers, and product teams to translate real-world use cases into platform capabilities
• Improve developer experience by streamlining workflows, enhancing tooling, and supporting MLOps best practices

Tech stack:

• Core Data & ML: Python, Ibis, FastAPI, Dataproc (Spark), SQL, BigQuery, MLflow, Streamlit
• Platform & Infrastructure: Google Cloud Platform, AWS, Kubernetes, Helm, Terraform
• Workflows & Orchestration: Airflow, RabbitMQ, Celery
• CI/CD: GitHub Actions, Jenkins
• Observability: Sentry, Datadog

Why this role:

• Production ML at scale: no toy datasets or notebook demos; you’re building infrastructure that powers real AI workloads
• Engineering rigor: unit and integration tests, modular design, CI/CD, pair programming, and code reviews are how we work, not aspirations
• Learn continuously: deep exposure to ML system architecture, end-to-end ML workflows, and reinforcement learning systems

WHO YOU ARE

• 2-4 years of experience in platform engineering, infrastructure, or a related backend role
• Solid understanding of platform architecture, particularly in ML or data-intensive environments
• Hands-on experience with Kubernetes and cloud infrastructure (GCP preferred)
• Ability to troubleshoot complex distributed systems under pressure
• Writes clean, modular code with a focus on testable APIs and maintainable design
• Experience working with AI coding assistants. Understands effective prompting strategies and can articulate when these tools add value versus when they're not appropriate
• Clear communicator who can work across technical and non-technical stakeholders
• Proactive problem solver who identifies issues and works around obstacles without waiting for direction

For candidates based in Ontario, the pay range for this position at the start of employment is expected to be between CA$125,280 and CA$235,736/year with an expected On Target Earnings (OTE) between CA$139,200 and CA$258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

WHAT YOU'LL DO

Our Data Scientist, AI Deployment team is a group of creative technical experts who design and build end-to-end machine learning solutions that power 1-to-1 personalization for some of the world's leading brands. In this role, you will:

• Design ML use cases from the ground up — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying risks to set each engagement up for success
• Build and own the full ML pipeline —  taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end users
• Drive customer success by providing ongoing technical guidance that ensures data science performance, successful adoption, and measurable outcomes
• Extend product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible across engagements
• Partner with the Braze Product team to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forward
• Shape BrazeAI product strategy and roadmap by bringing customer-facing insights and deep technical expertise to the table

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

For candidates based in Ontario, the pay range at the start of employment for this position is expected to be between CA$112,000 - CA$168,000/year, with an expected On Target Earnings (OTE) between CA$125,000 - CA$188,000/year (including performance-based or variable compensation (bonus or commission). Your particular offer may vary depending on multiple individual factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

AI Operations Engineer 

Team: Technical Operations - AI Operations

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

Are you looking to thrive in a stimulating work environment?  

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.  

About the Role

Are you looking to thrive in a stimulating work environment?  

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.  

About the Role

The Platform Network Engineering Team

Auth0 by Okta is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for over 100 million daily logins worldwide. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.

The Senior Software Engineer Opportunity

You will be part of the Platform Network engineering team responsible for all connectivity of Auth0. You will play a key engineering role as we evolve our network architecture to meet the demands of enormous growth and support the hundreds of millions of users who rely on us to provide uninterrupted access. You will get to work with engineers throughout the engineering organization.

What you’ll be doing

• Implement internal and edge networking infrastructure and design solutions that work at global scale and with multi-cloud and multi-region constraints.
• Carry cross-team initiatives from end to end: code reviews, design reviews, operational robustness, security hygiene, etc.
• Design and develop new services, tools, and automation to expose network functionality to other Okta engineering and operations teams.
• Research and implement solutions addressing cross-cutting concerns such as routing, failover, and scaling.
• Participate in the team’s on-call rotation.

What you’ll bring to the role

• Have 3+ years of software development experience in cloud-native services like API.
• Demonstrable knowledge of TCP/IP, DNS, HTTP, TLS.
• Have DevOps experience using cloud-agnostic, cloud-native technologies..
• Have experience managing infrastructure with Terraform.
• Have experience contributing to Go-based services.
• Have a passion for working on global distributed systems that are highly reliable, maintainable, scalable, and secure.
• Tend to deliver work incrementally to get feedback and iterate over solutions.
• Bring the right attitude to the team: ownership, accountability, and attention to detail.

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

• A 'Product Mindset' toward infrastructure—building internal networking tools that are self-service, well-documented, and easy for application teams to consume.
• Experience with using cloud providers such as AWS or Azure and major content delivery networks.
• Experience implementing and scaling Service Mesh architectures to manage service-to-service communication, observability, and security.
• Knowledge of Istio/Envoy Proxy and the Kubernetes Gateway API to provide flexible, self-service ingress solutions for product teams.
• Experience designing and maintaining multi-cloud networking topologies and hybrid connectivity (Direct Connect, Cloud Interconnect) at scale
  
  
  
  

#LI-Hybrid
#P-2905

About the Team:

We’re looking for a Staff Software Engineer I/II to join our Data Ingestion Team, which builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow. In this role, you’ll own technical direction for critical parts of our ingestion platform, lead large-scale initiatives, and shape how data flows across the company.

The Data Ingestion team tackles complex distributed systems challenges at massive scale, with a focus on scalability, performance, and reliability. Our systems process over 10 billion events per day, powering core functions across bidding, reporting, billing, analytics, and machine learning. You will work on challenging technical problems and partner with teams across the company to drive key initiatives.

We design + build low-latency, highly reliable distributed systems for impressions, clicks, conversions, and third-party signals, ensuring data is accurate and available to downstream teams in real time. This is a high-impact area at the core of StackAdapt’s platform, the systems you own will directly shape data quality, system reliability, and the speed at which teams across the company can build and innovate. Our work sits at the cutting edge of large-scale distributed systems, leveraging modern technologies and architectures to solve complex real-time data challenges. The core stack includes Golang, Kafka, TiDB, Aerospike, Vitess, Kubernetes, and more.

If you enjoy solving complex distributed systems problems at scale and driving technical impact across teams, this role would be a great fit for you.

StackAdapt is a Remote First company. We are open to candidates located anywhere in Canada or the United States for this position.

What You’ll Be Doing:

• Own and lead large technical initiatives end-to-end, from design through production and monitoring
• Provide technical leadership and mentorship to engineers across the team
• Design, build, and operate highly scalable, distributed ingestion services for real-time and near-real-time scenarios
• Contribute hands-on as needed while enabling the team to execute effectively
• Build and maintain event ingestion pipelines using streaming technologies like Kafka
• Work with high-volume storage systems and databases to persist and serve data efficiently
• Partner with Data, ML, Product, and Platform teams to support evolving requirements
• Improve code quality, testing practices, system reliability, and observability
• Participate in design reviews, code reviews, and architectural discussions
• Balance and prioritize projects to maximize impact and align with company objectives

What You’ll Bring to the Table:

• Extensive experience building distributed systems and high-throughput backend services
• Proven ability to lead technical direction and drive large, cross-team initiatives
• Strong problem-solving and communication skills, with comfort working in ambiguous, complex domains
• Collaborative mindset with the ability to influence across teams
• Ability to think strategically, lead technically, and drive high-impact, scalable solutions
• Hands-on experience with streaming systems (Kafka or similar)
• Strong understanding of distributed systems trade-offs (consistency, availability, partition tolerance, scalability)
• Maintains an AI-forward approach to software engineering - leveraging AI to boost productivity, collaboration, and business automation
• Bonus: Familiarity with AdTech, event-driven architectures, or analytics systems

#LI-TM8

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Support Experience engineering organization builds and improves Stripe’s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions. We’re accountable for the quality and reliability of this support stack and we use data and firsthand user research to continuously improve it. 

Providing great support to users of all sizes is culturally important to everyone at Stripe. We are a group of friendly, user-oriented engineers that partner closely with Stripe’s world-class design, product, and operational teams. This includes the external-facing support interfaces (support.stripe.com), content, entry points, internal tooling, case routing, and helping product teams across the company reduce support volume by improving our products. We are also using the latest generative AI technologies to re-imagine support experiences, and are developing AI assistants for Stripe’s users and internally to help our operations teams be more productive.

What you’ll do

As a Machine Learning Engineer on the Support Experience team, you'll play a crucial role in enhancing our self-serve support experiences. You will be responsible for designing, building, training, evaluating, deploying, and owning ML models in production. For example, we apply LLMs to answer user questions with conversational agents and personalize product documentation, and are building automated systems to solve complex user problems. You will work closely with software engineers, machine learning engineers, product managers, and data scientists to operate Stripe’s ML powered systems, features, and products. You will also have the opportunity to contribute to and influence ML architecture at Stripe and be a part of a larger ML community. 

Responsibilities

• Design  and implement state-of-the-art ML models and large scale ML systems for enhancing self-serve support capabilities, balancing ML principles, domain knowledge, and engineering constraints
• Develop and optimize contextual conversation models and ML-powered resolution flows for common support scenarios, using tools such as PyTorch, TensorFlow, and XGBoost
• Create and refine pipelines for training and evaluating models in both offline and online environments, with a focus on improving support quality and user satisfaction
• Implement ML features that streamline information collection and processing for support agents, enhancing overall support efficiency
• Collaborate with product, strategy, and content teams to propose, prioritize, and implement new AI-driven support features and improve answer capabilities
• Stay current with the latest developments in ML/AI, particularly in natural language processing and conversational AI, and apply innovative ideas to improve support experiences

Who you are

We are looking for ML Engineers who are passionate about building ML systems that touch the lives of millions. You have experience developing efficient feature pipelines, building advanced ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment.

Minimum requirements

• Bachelor's Degree in ML/AI or related field (e.g. math, physics, statistics)
• 3+ years in AI/ML and backend engineering, including building and operating production ML systems at global scale with stringent SLOs—balancing reliability, latency, and cost—with privacy, security, and compliance by design.
• Deep and up-to-date applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration architectures, post-training methods, code generation, benchmarks and evaluations, etc. Familiarity with classical ML methods and common frameworks e.g. Pytorch, TensorFlow.
• Proficient in Python; strong distributed systems and data science fundamentals.
• Experience working closely with product management, design, other engineers, and other cross-functional partners.
• Strong technical leadership and communication: mentoring and elevating engineers, elevating AI/ML awareness and posture within organizations, setting architectural direction, and driving alignment in ambiguity.

Preferred qualifications

• MS/PhD degree in ML/AI or related field (e.g. math, physics, statistics)
• Experience working in Java or Ruby codebases
• Experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
• Comfortable working with distributed teams across multiple locations and time zones

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Supportability Evaluation team acts as stewards of the financial ecosystem. Our mission is to protect Stripe’s reputation with our global financial partners by architecting highly precise, automated supportability controls. We develop the AI/ML models and systems that detect and action supportability violations in real-time. We're responsible for building high-fidelity detection engines that ensure our merchants remain compliant across the globe, balancing the scale of millions of users with the surgical precision required by the world’s largest financial institutions.

What you’ll do

As a Machine Learning Engineer in Supportability, you will be responsible for designing, building, training, evaluating, deploying, and owning AI/ML models in production. You will work closely with software engineers, machine learning engineers, product managers, and data scientists to operate Stripe’s ML powered systems, features, and products. You will also have the opportunity to contribute to and influence AI/ML architecture at Stripe and be a part of a larger community.

Responsibilities

• Design state-of-the-art AI/ML models and large scale systems for detection and decisioning for Stripe products based onAI/ML principles, domain knowledge, and engineering constraints
• Drive the expansion of Stripe's largest LLM-based system, scaling its usage and integrating new capabilities through agentic approaches or supervised learning.
• Rapidly prototype new AI/ML-based approaches to achieve key business goals.  
• Develop processes to train and evaluate models in offline and online environments
• Integrate models into production systems and ensure their scalability and reliability
• Collaborate with product and strategy partners to propose, prioritize, and implement new product features
• Engage with the latest developments in AI/ML and take calculated risks in transforming innovative ideas into productionized solutions
• Explore cutting-edge AI/ML techniques and evaluate their potential to solve business problems

Who you are

We are looking for ML Engineers who are passionate about building AI/ML and AI systems that touch the lives of millions. You have experience building and evaluating advanced AI/ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment.

Minimum requirements

• 2+ years of industry experience building and shipping AI/ML systems in production
• Proficient with AI/ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark 
• Knowledge of various AI/ML algorithms and model architectures
• Hands-on experience in designing, training, and evaluating machine learning models
• Hands-on experience in productionizing and deploying models at scale
• Experience rigorously evaluating model performance, including cleaning data, and working with data-generating processes to improve signal and reduce noise in high-noise datasets.
• Proficiency in creatively applying modern machine learning techniques and Generative AI models to solve complex business problems.

Preferred qualifications

• MS/PhD degree in AI/ML or related field (e.g. math, physics, statistics)
• Experience with DNNs including the latest architectures such as transformers and LLMs
• Experience working in Java or Ruby codebases
• Proven track record of building and deploying AI/ML systems that have effectively solved ambiguous business problems
• Experience with online experimentation such as A/B testing or multi-armed bandits.
• Experience with model calibration

Who we are

About Stripe 

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the organization 

Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe’s systems and the productivity and sentiment of Stripe’s people. 

You may work on a wide variety of critical business areas including: 

• Core Infrastructure - We’re the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
• Developer Infrastructure - We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models
• Data Platform -  We’re responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics and search capabilities. The stack is supported by a collection of internally developed large scale distributed services and several popular open source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high scale services and thousands of individual Stripes across the company. 
• Admin Platform - We empower Stripes to quickly build secure and delightful internal products in service of their users.
• Support Experience - We build and improve our 24x7 email, phone, and chat support channels, our Premium Support and Enterprise Services products, our Support Site, and more. This includes how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions.
• Service Platform - We enable engineering teams at Stripe to easily write and ship useful services that correctly, reliably, and efficiently leverage platform capabilities. 

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

You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.

Responsibilities

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack

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 

• Strong software engineering skills and a passion for one of the areas above.
• Ability to write high quality code (in programming languages like Go, Java, C/C++ etc)
• 2-12+ years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

Preferred Qualifications

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Holds yourself and others to a high bar when working with production

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Merchant Experience team builds the UI operating system and core experiences that power decades of growth for millions of businesses globally, enabling Stripe to be the business SaaS solution of choice for next-gen companies. We own the foundational platforms and product surfaces that merchants interact with every day - from the Stripe Dashboard to the frameworks and tooling that hundreds of Stripe engineers use to build world-class user interfaces.

We're at an inflection point. AI is fundamentally changing how users interact with software, and we believe Stripe is uniquely positioned to reimagine what a merchant experience looks like in an AI-native world. At the same time, we're raising the bar on the quality and performance of everything we ship - because the millions of businesses that depend on Stripe deserve an experience that is fast, reliable, and crafted with care.

What you'll do

As a Senior Staff Engineer on the Merchant Experience team, you will be a technical leader responsible for shaping the next generation of how Stripe merchants interact with our products. You'll drive a step-function improvement in the quality and performance of our core surfaces, and help define what AI-powered merchant experiences look like at Stripe.

Responsibilities

• Define technical strategy for merchant-facing experiences across Stripe, with a focus on quality, performance, and the integration of AI into core user workflows
• Lead the design and delivery of complex, cross-team projects that measurably improve the reliability, responsiveness, and polish of Stripe's merchant surfaces
• Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality, performant UI by default
• Drive performance as a product feature - own the technical approach to making the Dashboard and merchant tools best-in-class in speed and responsiveness, including instrumentation, budgets, and architectural improvements
• Innovate on the future of merchant UX - explore and prototype how AI can transform the way merchants discover, configure, and operate Stripe products, moving beyond traditional dashboard paradigms
• Build platforms and abstractions that make Stripe engineers more productive - frameworks, components, and developer tools that encode best practices for quality and performance
• Partner across Stripe with Product, Design, AI/ML, and infrastructure teams to translate high-level product vision into a concrete technical roadmap
• Mentor and grow engineers across the organization, raising the technical bar and fostering a culture of craftsmanship and high standards

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.

Minimum requirements

• This is a Senior Staff role - the expected scope of this role includes overseeing the work of 4-6 teams and owning an entire portfolio of products - and while there’s no strict minimum we're looking for, most candidates will have at least 10-15 years of experience in the industry
• Experience building and shipping complex, user-facing web applications that have reached large-scale audiences (hundreds of thousands of users) or have been contributed to by hundreds of engineers
• A track record of leading large-scale, cross-functional engineering projects with broad organizational impact
• Deep expertise in modern frontend and full-stack development - you have strong opinions on what makes a great user experience and the technical skills to make it real
• Demonstrated ability to drive measurable improvements in software quality and performance (e.g., load times, reliability, test coverage, error rates)
• Experience influencing technical direction and driving alignment across multiple teams without formal authority
• Excellent communication skills - you can articulate a compelling technical vision to engineers, product leaders, and executives alike

Preferred qualifications

• Experience building or maintaining design systems, component libraries, or frontend platform infrastructure at scale - ideally with React
• A deep interest in the intersection of AI and UX - you think critically about how emerging technologies change interaction models and are excited to pioneer new paradigms
• Experience with performance engineering: profiling, instrumentation, budgeting, and optimization of modern web applications
• Experience with the complexities of deploying large web applications at global scale - bundling, CDNs, browser compatibility, and build tooling
• Comfort working across the full stack - while this role skews frontend, you're not afraid to dive into APIs, backend services, or data layers when that's what the problem requires
• Familiarity with distributed systems, API design, and building platforms that serve both internal developers and external users
• A passion for developer experience and making other engineers more productive
• Experience mentoring senior engineers and contributing to engineering culture and hiring
• Hands-on experience integrating AI-powered capabilities into user-facing products - you've helped ship features that make complex workflows simpler and more intelligent

Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

P24086_3333054

The Auth0 Team

We never compromise on identity. You should never compromise yours either. We want you to bring your whole self to Auth0. If you're passionate, practice radical transparency to build trust and respect, and thrive when you're collaborating, experimenting and learning – this may be your ideal work environment. We are looking for team members that want to help us build upon what we have accomplished so far and make it better every day. N+1 > N.

Here at Auth0 we’re focused on securing the world’s identities so innovators can innovate. We’re currently hiring a Senior Software Engineer for the Identity Security Insights team. The Insights team is responsible for modernizing the way Auth0 empowers our customers to seamlessly access and understand their Auth0 data and level up how they monitor and address security concerns.

What you will do:

• Help design secure, performant, cross-platform browser-based features.
• Collaborate inside your team to solve technical and non-technical challenges.
• Work closely with Product and Design to determine and optimize user experience.
• Build new and maintain existing features by contributing across the full technical stack.
• Debug and resolve production issues and implement fixes for them.
• Be a part of the team's on-call rotations.
• Evaluate new technologies and techniques to improve overall practices.

You are a good fit for this role if you:

• Have a passion for learning.
• Like owning, designing, and driving projects end to end.
• Enjoy greenfield development and iterating on existing features.
• Are comfortable writing and operating full-stack applications.
• Are familiar with Node.js and RESTful APIs.
• Have a good understanding of JavaScript and TypeScript.
• Have the ability to contribute in a team environment.
• Work well with technical and non-technical people to deliver high-value results.
• Have excellent communication and collaboration skills.
• Enjoy being part of a highly collaborative, remote-friendly environment.
• Have at least 5 years of software development experience.
• Familiarity with AI agent frameworks, orchestration tools, or the Model Context Protocol (MCP).

It is helpful, but not required, if you:

• Have experience working in distributed teams and work environments.
• Have experience working with React and Styled Components.
• Have experience working with data driven applications.
• Exposure to agentic application patterns: tool use, multi-step workflows, agent-to-agent communication.

#LI-HYBRID

#LI-SH1
P-1093.1_3427006

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions for the Bioscience vertical and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (strong focus on biosciences, but also chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with the development of useful quantum algorithms, together with the IonQ Application team.
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to clients and support our booth activities.
• Some travel is expected in the US (20%) but opportunities for global travel are available as well for client meetings and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 5+ years of experience in the Biosciences industry, leading technology initiatives and innovation (or equivalent capacity).  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer-facing skills are critical.
• Bachelor’s degree or above in Biology, Chemistry, Computer Science, Machine Learning, Data Science, or other STEM field, such as Physics or Engineering
• Motivated learner with a strong passion for applied Quantum Mechanics (computing, network, security, sensing and other domains).

You’d be a great fit with: 

• Master's or PhD in a STEM field, perhaps adjacent to quantum computing.   This can enable quicker client trust and confidence.
• 5+ years of experience in a technical customer-facing role or equivalent capacity.  This isn’t a pre-requisite, but helps in transitioning to customer-facing roles.
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position can work onsite or hybrid from one of our offices or fully remote in the US or Canada
Travel: Up to 20% travel domestically and globally
Job ID:  1308

The approximate base salary range for this position is $192,979 - $252,659 USD. The total compensation package includes base, bonus, and equity.

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position can work onsite or hybrid from our office in Toronto or remote in Canada
Travel: 20% travel domestically and globally
Job ID: 1310

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

Marqeta is looking for a talented Senior Software Engineer to independently identify and deliver software solutions on our Data Infrastructure team through a set of milestones spanning a specific platform focus or a multi-component system. You will own and deliver projects in service of quarterly goals on the team and independently identify solutions to solve ambiguous, open-ended problems. You will work in collaboration with your team and cross-functional partners.

The Data Infrastructure team, within our Data & ML Platforms organization, is responsible for the data lakehouse, streaming, orchestration, and catalog platforms that power analytics and AI across Marqeta. We're a platform engineering team building infrastructure that other engineering teams depend on.

At Marqeta, participation in a rotational on-call pager duty is a required part of the software engineering role. The specifics of the rotation may vary by team, depending on team size and structure, and will be discussed further during the interview process.

We work Flexible First. This role can be performed remotely anywhere within Ontario or British Columbia, Canada. We’d love for you to join us!

Learn more about our Product and Engineering team

The Impact You'll Have

• Define and deliver well-scoped milestones for projects, and may be a technical lead for projects on your team.
• Lead design for small-to-medium components and participate in design for larger components, moving from task-level impact to small-to-medium project-level impact.
• Have significant ownership of a component of the data infrastructure, including its reliability, performance, and developer experience.
• Identify gaps and propose plans towards addressing those gaps.
• Independently write code that is clear, well-tested, and appropriately flexible, reusable, and adaptable to changing requirements.
• Actively level up less-experienced members of your team by helping them with their craft, providing guidance, and setting a good example.
• Participate in on-call coverage.

Who You Are

• 5+ years of experience as a software engineer with a Bachelor's degree; or 3 years of experience with an advanced degree. In lieu of a degree, 8+ years of relevant experience may suffice.
• Strong proficiency in Python in a production context.
• Proficiency with SQL.
• Experience working with distributed systems.
• Production experience with multiple core data technologies, including Apache Kafka, Apache Spark, and Apache Airflow (or close equivalents).
• Production experience with modern table formats (Parquet, Hudi, Iceberg, or Delta Lake).
• Production experience with AWS or another major cloud.
• Experience with infrastructure-as-code (Terraform, CloudFormation, CDK, or equivalent).
• Experience monitoring and alerting on production systems.
• Ability to decompose business problems into solutions that may require designs with multiple interacting components.
• Ability to build correct, maintainable software components.
• Ability to work with cross-functional stakeholders to identify technical blindspots and clarify ambiguity.
• Ability to present clear and concise messages tailored to various audiences; able to communicate clearly and respectfully both verbally and in writing.
• A focus on quality and meeting deadlines.
• Ability to decompose business problems into solutions that may require designs with multiple interacting components.
• Ability to build correct, maintainable software components.
• Ability to work with cross-functional stakeholders to identify technical blindspots and clarify ambiguity.
• Ability to present clear and concise messages tailored to various audiences; able to communicate clearly and respectfully both verbally and in writing.
• A focus on quality and meeting deadlines.

Nice-To-Haves

• Experience with payments or the FinTech space.
• Experience with Apache Iceberg specifically.
• Experience with CDC tooling, particularly Debezium or Kafka Connect.
• Experience with data catalog tooling (DataHub or equivalent).
• Experience with Java in addition to Python.
• Exposure to Kubernetes and container-based workloads.
• Experience building scalable software platforms.

Our (typical) process:

1. Application Submission
2. Recruiter Video Call
3. Coding Interview & Hiring Manager Interview
4. Virtual “Onsite” consisting of three 60 minute rounds
5. Offer!

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. 

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is: 116,000 - 145,000

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible vacation time
• Retirement savings program with company contribution
• Equity in a publicly-traded company 
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Family-forming benefits and up to 20 weeks of Parental Leave

Transmit Security is a cross-channel identity and orchestration platform designed to simplify, accelerate, and reduce the cost of identity-related projects, such as authentication, authorization, fraud prevention, and new account opening. The platform provides cutting-edge capabilities by fusing Identity Management and Fraud Prevention, allowing businesses to balance customer experience with fraud reduction while enhancing security and agility.

We are seeking a Sales Engineer to join our team, with a strong focus on building and owning strategic relationships, and driving technical success. As a trusted technical counterpart, you will leverage Transmit’s unique Fraud and Identity Fusion approach to deliver value to our customers, helping them address both business and fraud challenges holistically. You’ll work closely with sales to influence both technical and business outcomes while driving adoption of Transmit’s fraud prevention and identity orchestration solutions.

Key Responsibilities:

• Account Ownership: Build and nurture strong relationships with technical stakeholders, acting as a trusted technical advisor. Work as part of the sales team to own the technical account relationship and drive success across the sales lifecycle.
• Promote Fraud and Identity Fusion: Highlight the power of Transmit Security’s Fraud and Identity Fusion capabilities, which combine Identity Verification, Fraud Detection, and Customer Behavior Insights. Demonstrate how this integration reduces fraud while improving customer experiences across all channels.
• Strategic Engagement: Develop long-term, strategic relationships with customers by delivering fraud insights and identity management solutions tailored to their needs. Ensure they experience the business value of balancing fraud prevention and customer convenience.
• Technical Presentations & Demos: Lead technical product demonstrations and proof of concept presentations, showcasing how Transmit’s fusion of identity management and fraud detection enhances security and operational efficiency while improving the customer journey.
• Pre-Sales Guidance: Provide expert guidance throughout the sales process, demonstrating how risk-adaptive customer journeys, fraud telemetry, and dynamic rules can support both fraud prevention and customer experience goals.
• Collaborative Sales Process: Work in close collaboration with sales and post-sales teams to ensure a smooth transition from pre-sales to successful deployment. Address any technical objections by aligning Transmit’s platform capabilities with customer needs.
• Solution Customization: Customize solutions that leverage Transmit’s native AI/ML-powered services, risk-informed customer journeys, and fraud detection tools, ensuring that customers achieve maximum business value.
• Account Strategy Support: Support account strategy by helping customers deploy rapid, fraud-resistant identity solutions that are adaptive, secure, and compliant.

Required Skills & Qualifications:

• 3-5 years of sales engineering experience, with a strong understanding of both identity management and fraud prevention.
• Proven success in building strategic relationships, acting as a technical counterpart to sales and influencing decision-makers.
• Technical expertise in delivering customized technical presentations and proof of concept workshops focused on fraud and identity orchestration.
• Understanding of IAM and fraud prevention concepts: Authentication, Authorization, Single Sign-On (SSO), User Lifecycle Management, Fraud Detection, Risk-Adaptive Journeys, and Customer Behavior Insights.
• Experience with cloud services (AWS, GCP, Azure) and their integration with security solutions.
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders, translating complex technical concepts into business outcomes.
• Collaborative mindset, with experience working across sales and technical teams to deliver holistic solutions.

Nice to Have:

• Experience in SaaS solution selling, particularly in the security or fraud prevention space.
• Familiarity with Transmit Security’s Fusion capabilities, including AI/ML-powered fraud detection, identity orchestration, and dynamic fraud response tools.

Transmit Security is committed to fostering, cultivating and preserving a culture of Diversity and Inclusion. Our human capital is the most valuable asset we have. The collective sum of the individual differences, life experiences, knowledge, inventiveness, innovation, self-expression, unique capabilities and talent that our employees invest in their work represents a significant part of not only our Culture, but our Reputation and Achievements as well.  We encourage diversity and embrace our employees’ differences in age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical ability, political affiliation, race, religion, sexual orientation, socioeconomic status, veteran status, and other characteristics that make our employees unique.

#LI-CY1   #LI-Remote

The Identity Threat Protection Team

Identity Threat Protection (ITP), powered by cutting-edge Okta AI, shatters the mold of traditional login security. We deliver real-time, surgical defense against the most sophisticated and rapidly evolving threats. By deeply integrating with existing security infrastructure, ITP relentlessly analyzes user behavior and system data to proactively hunt down and neutralize risks before they impact our customers.

Join an elite team of full-stack engineers, visionary data scientists, and pioneering ML engineers. We are not just redefining cloud authentication—we are engineering the next-gen security platform that continuously evaluates global threats and constructs a comprehensive, dynamic risk. ITP stands as the uncompromising guardian of trust and security, placing decisive risk prioritization at the core of every authentication and authorization decision.

Identity Threat Protection with Okta AI

The Staff Software Engineer Opportunity

Okta is seeking a Staff Software Engineer to be a driving force on the ITP engineering team. This is your chance to dive into the deep end and solve the most critical and complex security challenges facing enterprises today. We seek a candidate who has not just experience, but a proven record of designing, building, launching, and scaling world-class security products—from concept to global deployment.

You will be a technical cornerstone of a team that lives and breathes elegant solutions and uncompromising quality. Our philosophy is rooted in relentless automated testing, rigorous code reviews, and the design of systems for massive, planetary-scale operations. As a Staff Engineer, you are a player-coach and a standard-setter, demonstrating absolute excellence in software engineering.Our environment is high-speed, fiercely innovative, and highly autonomous, utilizing agile cycles where individual ownership is paramount. If you crave stimulating, mission-critical security projects, pioneering emerging technologies, and conquering complex security and Machine Learning challenges, this is your defining career opportunity.

What you’ll be doing 

• Architect and Lead: Command the design, development, delivery, and supportability of cloud-native security products—leading the charge from initial concept to final, production-ready implementation.
• Drive Collaboration: Build solid, cross-group partnerships and demonstrate exceptional interpersonal communication, working closely with engineering, product management, design, support, and documentation teams.
• Uphold Excellence: Commit to the highest programming standards through rigorous code reviews and the creation of comprehensive unit and functional tests.
• Lead Remote Teams: Excel at working with remote teams and individuals while relentlessly ensuring product quality, agility, and velocity.
• Mentor and Empower: Act as a player-coach to mentor, groom, and educate junior engineers.

What you’ll bring to the role

• 7+ years of experience building Java-based web applications.
• Deep understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
• Experience thriving in fast-paced software development teams that leverage continuous integration and deployment practices.
• Strong communication skills and the ability to work across functions.
• A powerful security background and a proven track record of championing best practices.

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

• Experience building anomaly detection systems or risk systems is a monumental advantage.
• Expertise in cloud security, identity, and/or authentication protocols.
• Hands-on experience with one or more cutting-edge UI technologies such as Angular, ReactJS, Backbone, and Vue.

(P23225_3240232)

#LI-Hybrid 

#BB-1

The Staff Full Stack Engineer Opportunity

The Access Management group drives billions of authentications every month. The group builds and supports single sign-on, strong authentication, provisioning, and threat protection technologies. Our Access Management service runs in the cloud on a secure, reliable, extensively audited platform with 99.99% availability.

We are looking for an experienced and highly technical full stack software engineer to join the Federated Authentication Platform team. Operating under the larger Access Management group, this team is responsible for building out the authentication pipeline for the Okta Identity Engine leveraging security standards, this platform provides the core orchestration building blocks to create a world class authentication experience.  We are looking for smart, innovative and passionate engineers to join the team.

What you’ll be doing 

• Design, implement, review and troubleshoot highly scalable backend services and APIs.
• Develop and maintain engaging and responsive user interfaces using modern web frameworks.
• Analyze/Refine Requirements with Product Management, bridging the gap between user needs and technical implementation.
• Work with engineering management to scope and plan engineering efforts across the full stack.
• Collaborate with QA, Product Management, Technical Support, Documentation and UX team

What you’ll bring to the role

• 8+ years of experience building and deploying scalable, reliable, mission-critical software, spanning both frontend and backend development.
• Proficiency with at least one Object-Oriented Backend Language (e.g., Java, C#, Python, Go) and modern JavaScript/TypeScript.
• Experience with a modern frontend framework (e.g., React, Angular, Vue.js).
• Strong understanding of RESTful API design and interaction.
• Experience working with a system of scale

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

• Experience with server-side technologies including caching, asynchronous processing, and multi-threading.
• Experience in TDD or BDD methodologies.
• Knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, Federation, SSO, etc.
• Experience with cloud platforms (e.g., AWS, Azure, GCP).

(P5928_3355117)

#LI-Hybrid 

#BB-1