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

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

The Developer Productivity team supports the software development ecosystem used by thousands of engineers to develop and maintain MongoDB Server and developer tools in a complex matrix of multi-platform self-hosted products and multi-cloud hosted environments. Our tools and services, as well as our domain expertise, ensure that MongoDB developers can ship high quality products quickly, confidently, and securely. 

As a senior staff engineer you’ll be responsible for helping shape the future of our developer ecosystem and ensure we take advantage of the rapidly-evolving engineering landscape. You will partner with engineering leadership across the company to identify system-wide opportunities to accelerate developer velocity and efficiency, enhancing smart data collection and integrating analytics assistants that produce actionable insights every step of the way. 

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you like working on a strongly collaborative team that loves to experiment, have a passion for open source, and generally thrive on being a champion for software development best practices  and data-informed decision making, this is the role for you.

Candidate Profile

• Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems
• Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript
• Strong understanding of DevOps culture and tooling
• Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments
• Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka
• Proven track record of driving technical execution and vision for organizations with 50+ team members
• Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams

Responsibilities

• Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization
• Design software development systems to ensure best practices and champion industry standards
• Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability
• Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations
• Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth

Bonus points if the candidate has experience with:

• Strong systems fundamentals, including testing and monitoring multi-threaded systems
• Performance profiling of complex systems
• Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment
• Experience supporting the development of database internals or core components for data processing systems

Success Measures

• In the first month, you will have understood the high level architecture of at least one of the systems within the MongoDB developer ecosystem and fixed a few bugs
• In three months, you will have a broad understanding of the overall developer ecosystem and be taking on code review responsibilities
• In six months, you will have taken on code and design review responsibilities for key systems within the software development ecosystem
• In twelve months, you will be leading the development of MongoDB’s next generation developer ecosystem, helping to mentor engineers on the team, and using your experience to drive the long-term DevProd-wide technical roadmap

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 1273376291

 #LI-Hybrid

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

WHAT YOU’LL DO: 

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

WHAT YOU’LL NEED: 

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

WHO YOU ARE:

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

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

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

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

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

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

#LI-NS1

The Opportunity

We're looking for a Senior Software Engineer to join our Web Data team and help build the next generation of ZoomInfo's web crawling and data extraction infrastructure.

This is a hands-on engineering role with high impact. You'll work alongside experienced engineers building large-scale crawling and extraction systems that process billions of pages. Your day-to-day will involve solving real distributed systems problems, writing production code, and shipping features that directly impact data quality across the platform.

You'll partner with a dedicated people manager who handles HR and administrative responsibilities, a product manager who connects business needs with technical work, and a senior manager who removes roadblocks and supports career growth. Your focus is on engineering execution, technical excellence, and collaboration.

What You'll Do

As a Senior Software Engineer, you'll contribute to enterprise-scale crawling and extraction platforms that process massive volumes of web data.

You will:

• Design and implement components of scalable, fault-tolerant web crawling and extraction pipelines
• Write clean, production-grade code in Java and Python
• Build and operate ETL/ELT pipelines for large-scale data extraction and transformation
• Work with cloud infrastructure on GCP and AWS, primarily on GKE
• Improve observability, reliability, and operational excellence across the systems you contribute to
• Partner with product and data science teams to deliver impactful solutions
• Contribute to code reviews, documentation, and knowledge sharing across the team
• Stay current with evolving web technologies, anti-crawling mechanisms, and AI-powered extraction approaches

Must-Have Qualifications

We're prioritizing strong software engineering fundamentals over deep crawling-specific experience. The right candidate is a great engineer first; the domain can be learned on the team.

Software Engineering Fundamentals

• 5+ years of professional software engineering experience building production systems
• Strong CS fundamentals: algorithms, data structures, concurrency, distributed systems
• Proficiency in Java and/or Python
• Track record of owning features end-to-end from design through deployment and operation
• Comfortable making sound architectural decisions at the component level

Data Engineering

• Hands-on experience with cloud data warehouses such as BigQuery or Snowflake
• Experience designing and operating large-scale ETL/ELT pipelines
• Experience with orchestration tools such as Apache Airflow
• Experience with streaming or event-driven systems such as Apache Kafka

Cloud and Infrastructure

• Production experience on GCP (preferred) or AWS; multi-cloud exposure is a plus
• Hands-on experience with Kubernetes (GKE/EKS) for distributed workloads
• Familiarity with infrastructure-as-code tooling such as Terraform

Background and Mindset

• Strong communicator who can explain technical decisions clearly
• Comfortable operating in ambiguity and iterating quickly
• Bias toward action and pragmatic problem solving
• Self-starter who thrives in fast-paced, evolving environments

Nice to Have

• Experience with web crawling at scale (Scrapy or similar frameworks)
• Familiarity with proxy infrastructure, rotation strategies, or anti-bot evasion techniques
• Experience in extracting structured and unstructured web data from diverse site architectures
• Knowledge of SERP (Search Engine Results Page) extraction
• Comfort with AI/LLM-based extraction approaches, applying language models to HTML at scale
• Experience working in a B2B data company or data-as-a-product environment

Core Technical Stack

• Java and Python
• Apache Kafka
• GCP (BigQuery, GKE, Vertex AI)
• Snowflake and Starburst/Trino
• Terraform
• Scrapy and web scraping frameworks
• Proxy management systems
• Distributed systems and Kubernetes
• Apache Airflow
• Large-scale ETL pipelines

Ideal Profile

• 5+ years of software engineering experience
• Experience operating systems that process meaningful volumes of data
• Strong CS fundamentals (algorithms, data structures, distributed systems)
• Excellent communicator who can explain complex ideas to diverse audiences
• Passion for solving hard problems and building elegant, scalable systems
• Self-starter who thrives in fast-paced, evolving environments
• Experience working in a B2B data company or data-as-a-product environment is a strong plus

Why This Role Matters

This role sits at the heart of ZoomInfo's data platform. You'll contribute to the infrastructure that powers our business intelligence products and help shape how web data acquisition is done at ZoomInfo, while working at a massive scale with cutting-edge technologies.

You'll be joining at a pivotal moment: the team is growing, the ambition is high, and there's a real opportunity to make a lasting impact and grow into deeper technical leadership over time.

#LI-AR2

#LI-REMOTE

You are a strong senior full-stack software engineer with a proven track record of shipping and operating production systems at scale. You bring strong technical judgment, a high bar for quality, and the ability to lead complex initiatives end to end. You are comfortable working across frontend and backend systems, influencing architecture, and guiding teams through ambiguity.

At Rival, AI is central to how we build and how our product evolves. In this role, you are expected to lead AI-enabled feature development, own AI-focused epics, and elevate the team’s capabilities in modern AI-assisted development and AI product delivery. You understand how modern web applications are designed, built, and deployed in cloud environments. You are comfortable operating within AWS-based systems and take ownership of the reliability, scalability, and maintainability of the software you deliver.

As a Senior Software Engineer at Rival, you will lead the design, development, and delivery of high-impact features across our product platform, with a strong emphasis on AI-enabled capabilities. You will own outcomes end to end, mentor engineers, strengthen engineering standards, and collaborate closely with Product, UX, QA, and stakeholders to deliver well-scoped, reliable, and scalable solutions.

Who are we? 

When you join Rival Group, you’re not just accelerating your career—you’re also helping shape the future of customer insights and market research.

We’re a forward-thinking, results-driven organization obsessed with helping innovative brands get closer to their customers in a way that feels fresh, organic, and fun. Rival Technologies, the tech arm of our business, is the world’s best conversational research platform and one of Vancouver’s fastest-growing tech companies. 🚀 Reach3 Insights, our consulting side, is an award-winning 🏆 market research agency with offices in Chicago, Toronto, and Vancouver. Together, we’re helping brands like Coca-Cola, Kellogg’s, Dell Technologies, REVOLT TV, and Roblox get better insights they can use to deliver better products, create more impactful marketing campaigns, and improve the end-to-end customer experience.

Our customers LOVE our tech and services. We’re growing fast—and we’re inviting great people to join us on the ride 🎢

If making measurable, immediate impact while having fun sounds like your jam, then we invite you to apply! 👇

What you’ll do:

• Lead the design, development, testing, and release of production features across the Rival product suite
• Own feature epics from discovery and architecture through implementation,
  rollout, and iteration
• Build across frontend and backend systems in a modern JavaScript and TypeScript stack
• Partner with Product and Design to shape requirements, clarify trade-offs, and drive execution plans for complex initiatives
• Set and uphold a high bar for code quality, performance, security, reliability, and user experience
• Improve test coverage, CI reliability, tooling, and overall developer experience
• Drive technical design reviews and produce clear written design documentation
• Identify risks and dependencies early and communicate mitigation strategies
• Debug and resolve issues across the full stack, including cloud environments and production systems
• Influence architectural decisions and long-term technical direction
• Raise the bar through thoughtful code reviews, mentorship, and coaching
• Contribute to hiring, onboarding, and overall team development

AI and Modern Development Practices

Rival encourages engineers to thoughtfully leverage AI-assisted development tools to improve productivity and quality.

• Apply strong judgment to AI behavior, correctness, privacy, security, and reliability risks
• Design evaluation strategies for AI features using test suites, human review, metrics, and monitoring
• Establish best practices for AI integration, including guardrails, validation,
  observability, and maintainability
• Use AI-assisted development tools to improve engineering speed and quality
• Collaborate cross-functionally on AI requirements such as telemetry, user feedback loops, and model performance tracking

What You'll Have:  

• 7+ years of professional experience building and operating production software systems
• Strong full-stack expertise across frontend and backend development
• Demonstrated experience leading complex technical initiatives or epics end to end
• Strong software engineering fundamentals including architecture, testing strategy, performance, and reliability
• Experience building or integrating AI-enabled product features such as LLM workflows, retrieval systems, agent-style architectures, or automated decision support
• Ability to evaluate and improve AI feature quality using structured testing, monitoring, and feedback mechanisms
• Strong collaboration and communication skills across technical and non-technical stakeholders
• Experience working in cloud-based environments, preferably AWS
• Familiarity with serverless and or microservices architectures from an application perspective
• Ability to reason about and debug issues across the full stack

Technology Stack & Tools

• Languages & Runtime: JavaScript, TypeScript, Node.js
• Frontend: React, Redux, Next.js, Styled Components
• Backend & APIs: Express, GraphQL
• Data & Storage: PostgreSQL, Redis or Valkey, MongoDB
• Messaging & Search: Kafka, Elasticsearch or OpenSearch
• Cloud: AWS (application-level experience); CloudFormation, CDK, or Terraform (working knowledge, no infrastructure ownership)
• Testing: Cypress, Jest, React Testing Library, Playwright, Vitest, Cucumber
• Engineering & Collaboration Tools: Atlassian Jira and Confluence, with a solid understanding of Agile workflows, including backlog grooming, sprint planning, and Scrum ceremonies

Why us for your next career adventure?  

💵 Fair compensation

We’re committed to pay equity/fair pay practices and closing the gender salary gap. 

• In determining salary, Rival Technologies considers many factors including the successful candidate’s skillset and experience as well as internal equity. The salary range for this position is $120,000 to $150,000, with the upper portion typically reserved for tenured employees who have developed extensive job knowledge and expertise within the company.

Our compensation package also includes:

• Home office, Internet and Cellphone stipends
• RRSP plan with employer matching
• Parental leave top up

💆‍♂️ Flexibility and time off

• Hybrid working model and home office benefits
• Comprehensive paid time off that covers vacation, sick, and personal days. 

🩺 Health and wellness

• Extended health and dental plan
• Health spending account
• Generous sick, personal, and mental health days
• $1,000 annual mental health benefits with Canada Life

🤝 A great place to work you can be proud of

According to a survey of our employees conducted by an independent agency:

• 91% of our people believe management practices are equal and impartial
• 86% have pride in their work and the organization
• 91% agree that their teammates are friendly, supportive and welcoming

Our values at Rival:

• Courage
• Results
• Energy
• Kinship

The not-so-fine-print 🧐

If you think you’re a good fit, please connect with us ASAP with your resume. You must be eligible to work in Canada to be considered for this role. At Rival, we value the unique qualities and experiences that each candidate brings to the table. We believe in a personal approach to hiring and take the time to thoroughly review each resume ourselves. Rest assured, we do not use AI or automated systems to review or filter resumes. Every application is carefully reviewed by our hiring team to ensure a fair and personalized evaluation process. If you don’t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that individuals in underrepresented groups often only apply when they feel 100% qualified. We are proud to be an equal opportunity workplace committed to building a team culture that celebrates diversity and inclusion. Rival provides equal employment opportunities 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.

Rival is also committed to fostering a culture of belonging, which includes ensuring an accessible work environment and employment practices. If you require accommodation at any point in the selection process, please email peopleteam@rivalgroup.io

Finally, we know from time to time emergencies happen and you may need to reschedule an interview — we understand and encourage you to be in communication without worrying about losing the opportunity or your credibility.

Please note given our security and compliance certifications, final applicants will be required to undergo a background check.

No recruiters and no phone calls, please!

As a Test Developer Co-op at Visier, you will work with the Test Enablement Team and will be responsible for ensuring the integrity of the Visier application.

Our co-op experience is unique and designed to prepare you for professional success as you work on real, impactful work from the beginning...not features that may be mothballed after 8 months of hard work! Our ultimate goal is to give you the mentorship, training, and work experience you need to start your career. A number of our students return to us after they graduate and start developing their professional career at Visier! We use a variety of frontend technologies including Angular, NgRx, Play Framework, TypeScript, Less, and others. We deal with large volumes of data every day. And in our backend areas we work with technologies like Scala, Kafka, Consul, Cassandra DB, Docker, AWS, etc. So, you’ll be developing knowledge and skills that are transferable anywhere.

What you'll be doing...

• Manual testing, building automated tests, and data validation
• Working with developers to create and sign off on test plans
• Writing end-to-end UI automated tests and REST tests
• Setting up Jenkins CI pipeline to automate common tasks
• Performing final checks to ensure the software we release is beautiful

What you'll bring to the table...

• Coding skills in writing functional tests using Selenium, Playwright, and REST Assured
• Some knowledge in one of the following areas:
• Knowledge of data structures and algorithms
• Knowledge of web technologies (REST, XML, JSON, Angular14)
• Knowledge of SQL databases and SQL language is an asset
• Attention to detail, tendency to spot mistakes and identify potential improvements

Most importantly, you share our values...

• You roll up your sleeves
• You make it easy
• You are proud
• You never stop learning
• You play to win

The base pay range for this position in Canada is $3,600 - $4,500 per month. 

Our co-op experience is unique and designed to prepare you for professional success as you work on real, impactful work from the beginning...not features that may be mothballed after 8 months of hard work! Our ultimate goal is to give you the mentorship, training, and work experience you need to start your career. A number of our students return to us after they graduate and start developing their professional career at Visier! 

And we use state-of-the-art technology to build our innovative full-stack software solution that helps people see the truth and drives organizations to perform their best. We use a variety of frontend technologies including Angular, NgRx, Play Framework, TypeScript, Less, and others. We deal with large volumes of data every day. And in our backend areas we work with technologies like Scala, Kafka, Consul, Cassandra DB, Docker, AWS, etc. So, you’ll be developing knowledge and skills that are transferable anywhere.

What you'll be doing...

• Writing production-level code that will directly impact customers
• Implementing cool new features
• Fixing complex bugs
• Collaborating with people in all stages of the software development cycle

What you'll bring to the table...

• Coding skills in relevant programming languages (for example, like Java, JavaScript, Typescript, Scala or other similar languages)
• Coding skills in writing functional tests (eg using Selenium and ScalaTest)
• Knowledge of data structures and algorithms
• Attention to detail, tendency to spot mistakes and identify potential improvements
• Knowledge of web technologies (REST, HTML/CSS, JSON, Angular) is an advantage
• Knowledge of relational and non-relational databases and SQL language

The base pay range for this position in Canada is $3,600 - $4,500 per month. 

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics.

This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.

You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both.

What You'll Do:

Yield Optimization & Pricing Models

• Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.
• Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.
• Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.
• Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.

Inventory Allocation & Supply Optimization

• Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.
• Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.
• Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.

Data Architecture & Feature Engineering

• Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.
• Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes.
• Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.

Real-Time Inference & Production ML

• Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.
• Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.
• Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.
• Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.

Experimentation & Performance Measurement

• Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.
• Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy.
• Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.

Self-Learning Systems & Feedback Loops

• Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.
• Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.
• Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.

Cross-Functional Collaboration

• Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.
• Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.
• Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.

What You Bring:

Required

• Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).
• Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.
• Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).
• Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).
• Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.
• Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.
• Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).
• Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.

Preferred / Nice to Have

• Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
• Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
• Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
• Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
• Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
• Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.

What Sets You Apart

• Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.
• Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.
• Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.
• Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.
• Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.
• Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy.

Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Strong extended health benefits: Health & Prescription coverage, vision and dental care, virtual health care, out-of-country medical coverage
• Insurance coverage (life, short-term disability, long-term disability, and more)
• Health Care Spending Account
• Two different Employee Assistance Programs
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

Note: Benefits may vary by location and are subject to local regulations.

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_Vancouver_Canada

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

Cash App's mission is to make money instantly available and universally accessible - all the products and features we've released in the app are based on those principles. Lending is one of the newest Cash App products and we're looking for a Software Engineer to join this team and help deliver on our vision of economic empowerment.

Lending offers Cash App and Afterpay users low-friction access to credit without prohibitive repayment terms, and the Lending Engineering team is focused on building the complex systems and tooling to support access and availability.The Lending Engineering team focuses on building the products and platforms that help deliver this access and credit to our customers at scale. We're looking for people who are as excited about our mission as they are about the technical challenges we have.

You Will

• Partner closely with credit risk, legal & compliance, product managers and other engineers to take the Lending capability to the next level.
• Lead or contribute to projects from hypothesis to production capability, ensuring ownership of the output quality.
• Build financial primitives by acting as an IC or lead on atomic, composable, API-level building blocks that serve the Block's intelligence layer.
• Take a developer-centric approach to designing and building clean APIs, optimizing strictly for uptime, latency, regulatory compliance, and cost-per-transaction.
• Experiment with emerging approaches and support team capability by sharing learnings and providing feedback.
• Operate and manage existing Cash services.
• Make recommendations to improve the team and wider Engineering practices.
• Help interview candidates, organize external recruiting/networking activities, and contribute to the broader tech and open-source communities.

You Have

• Embrace an AI-first mentality. Leverage AI to augment your knowledge and capability in navigating development in complex systems with confidence.
• Familiar with agentic engineering.
• 5+ years working on complex systems and delivering quality software, with clear expertise developed in one or more technical areas.
• Curiosity that pushes you to find flaws in complex systems and take whatever steps are necessary to fix them.
• Resilience to persevere in complex situations across multiple axes: e.g., scale, uncertainty, and interconnectedness.
• Self-directed and comfortable with ambiguity, with a willingness to publish your reasoning and be wrong publicly—which is essential for thriving in our transparent DRI/IC model.

Technologies We Use and Teach

• Java, Kotlin
• AWS
• HTTP, JSON, gRPC, Protocol Buffers
• OkHttp, Jetty, JUnit, Guice
• Hibernate, jOOQ, Aurora, MySQL, DynamoDB, Redis, Vitess
• Kafka, event-driven architecture, microservices
• DataDog
• Buildkite, Gradle

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations throughout the recruitment process. If you require an accommodation, let your recruiter know.  Want to learn more about what we’re doing to build an inclusive workplace? Check out our Inclusion & Diversity page.

As Marqeta’s Principal Software Engineer on the Core Issuing & Processing team, you will work across the entire domain to stand up and drive high-impact projects for our customers from inception to completion. You will take on highly technical initiatives that optimize our issuing and processing engines, own the technical roadmap for the core platform, and partner with engineering leaders to drive engineering and operational excellence throughout the organization.

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

The Core Issuing and Processing team owns the foundational stack that powers Marqeta's core business. We develop and maintain the systems that span six critical domains: Onboarding, Issuing, Digital Wallets, Authorization & Clearing, Transaction Controls, and Ledger. Together, these systems form the backbone of Marqeta's card issuing and payment processing platform.

The Impact You’ll Have

• Own the technical roadmap and author system designs that enable scalable, secure, and operationally efficient card issuing and payment processing products for our customers.
• Spend significant time in the codebase – writing, reviewing, and optimizing code across the issuing and processing stack.
• Identify and drive high-impact technical initiatives that improve the performance, reliability, and cost-efficiency of our core processing engines.
• Collaborate with Product Managers to analyze requirements and provide technical recommendations across onboarding, issuing, digital wallets, authorization & clearing, transaction controls, and ledger.
• Mentor and guide technical leads, influence stakeholders, and establish success metrics to drive organization-wide technical excellence.
• Apply and evangelize modern best practices in your software designs and implementations to increase the platform's resiliency and scalability.

Who You Are

• 12+ years of hands-on software engineering experience.
• Demonstrated passion for software engineering excellence, including design principles, fault tolerance practices, scalability, cost, security & privacy considerations, and test-driven development.
• Experience partnering with product teams to ideate and bring innovative solutions to market.
• Experience developing and scaling microservices using modern cloud technologies, preferably AWS.
• Experience working with high volume / low latency data infrastructures.
• Solid understanding of security engineering best practices and demonstrable experience in designing solutions that adhere to those standards.
• Passion for non-functional challenges, namely: Scale, Cost, Reliability, Performance, High Availability.
• Experience building systems running in multiple regions.
• Team-oriented approach – can effectively lead a project, participate as an influential team member, and work cross-functionally with other organizations.
• Experience with our tech stack, namely Java, Springboot, Kubernetes, Terraform, Helm, Kafka, JPOS, and AWS services.
  
  

Nice-To-Haves

• Master's degree in Software Engineering.
• Experience in payment processing, card issuing, or the payments industry.
• Domain experience in authorization, clearing, settlement, tokenization, or ledger systems.

Your Manager

• Arash Afrooze, Sr Director, Software Engineering

Recruiter For This Role

• Prashant

Typical Process

• Application Submission
• Recruiter phone call
• Hiring manager video call
• Virtual “Onsite” consisting of 4-5, 45 min calls

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: 207,600 - 259,500

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

As Manager of Data Infrastructure, reporting to the Director of Data Engineering, you will lead 5-6 engineers operating critical data platforms that power our AI and analytics strategy. This newly created hands-on leadership role combines technical depth with people management, requiring you to mentor your team, drive agile delivery, and apply product thinking to infrastructure. You'll execute on our data strategy while ensuring operational excellence for platforms processing billions in monthly transaction data.

We work Flexible First. This role can be performed remotely anywhere within the provinces of Ontario and British Columbia, Canada. Quarterly travel to the United States is required. We’d love for you to join us!

The Impact You'll Have

• Lead 5-6 engineers through hands-on technical mentoring, performance management, and career development while fostering operational excellence.
• Own data lake infrastructure operations (S3, Airflow, Kafka/MSK, Spark/Glue) maintaining 99.5% uptime and managing on-call rotation.
• Drive agile delivery with sprint planning, capacity planning, and requirements analysis to ship infrastructure improvements quarterly.
• Apply product thinking by gathering customer requirements from data teams, prioritizing platform features, and measuring adoption success.
• Execute technical roadmaps that deliver on data strategy, translating vision into concrete project plans with measurable outcomes.
• Partner with security/compliance on governance controls and work with vendors on technical integrations and platform optimization.

Who You Are

• 6+ years in data engineering/infrastructure with 2+ years leading technical teams at scale.
• Deep hands-on expertise with AWS data services (S3, EMR/Glue), Airflow, Kafka/MSK, and data catalog tools.
• Strong product thinking with experience translating customer requirements into platform capabilities.
• Proven agile delivery skills including capacity planning, sprint execution, and requirements analysis.
• Track record of operational excellence: on-call management, incident response, and achieving SLAs.
• Excellent mentoring skills with passion for developing engineers and building high-performing teams.
• Must be authorized to work in Canada with ability to travel quarterly to the United States.

Nice-To-Haves

• Experience with payments or the FinTech space.

Typical Process

• Application Submission
• Recruiter video call
• Hiring manager video call
• Virtual “Onsite” consisting of four 45-60 min video calls
• Offer!

This position is for an existing vacancy.

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: 156,800 - 196,000.

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

As Manager of Data Infrastructure, reporting to the Director of Data Engineering, you will lead 5-6 engineers operating critical data platforms that power our AI and analytics strategy. This newly created hands-on leadership role combines technical depth with people management, requiring you to mentor your team, drive agile delivery, and apply product thinking to infrastructure. You'll execute on our data strategy while ensuring operational excellence for platforms processing billions in monthly transaction data.

We work Flexible First. This role can be performed remotely anywhere within the provinces of Ontario and British Columbia, Canada. Quarterly travel to the United States is required. We’d love for you to join us!

The Impact You'll Have

• Lead 5-6 engineers through hands-on technical mentoring, performance management, and career development while fostering operational excellence.
• Own data lake infrastructure operations (S3, Airflow, Kafka/MSK, Spark/Glue) maintaining 99.5% uptime and managing on-call rotation.
• Drive agile delivery with sprint planning, capacity planning, and requirements analysis to ship infrastructure improvements quarterly.
• Apply product thinking by gathering customer requirements from data teams, prioritizing platform features, and measuring adoption success.
• Execute technical roadmaps that deliver on data strategy, translating vision into concrete project plans with measurable outcomes.
• Partner with security/compliance on governance controls and work with vendors on technical integrations and platform optimization.

Who You Are

• 6+ years in data engineering/infrastructure with 2+ years leading technical teams at scale.
• Deep hands-on expertise with AWS data services (S3, EMR/Glue), Airflow, Kafka/MSK, and data catalog tools.
• Strong product thinking with experience translating customer requirements into platform capabilities.
• Proven agile delivery skills including capacity planning, sprint execution, and requirements analysis.
• Track record of operational excellence: on-call management, incident response, and achieving SLAs.
• Excellent mentoring skills with passion for developing engineers and building high-performing teams.
• Must be authorized to work in Canada with ability to travel quarterly to the United States.

Nice-To-Haves

• Experience with payments or the FinTech space.

Typical Process

• Application Submission
• Recruiter video call
• Hiring manager video call
• Virtual “Onsite” consisting of four 45-60 min video calls
• Offer!

This position is for an existing vacancy.

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: 156,800 - 196,000.

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

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

On Cash App's Controls team, we build essential platform infrastructure that protects millions of Cash App customers while ensuring fair and equitable access to financial services. We partner across engineering, product, and risk teams to build highly-available infrastructure that powers critical trust and safety decisions throughout Cash App's ecosystem. We are an AI-driven engineering team — we use agentic coding tools across our entire development lifecycle, from design exploration through implementation and review, and we expect every engineer to do the same. In this role, you'll implement scalable solutions that enable billions of safe customer interactions that create a holistic experience that fosters the trust, safety, security, and support of our customers and their assets, directly contributing to Block's mission of economic empowerment through accessible and secure financial services.

You Will

• Partner closely with product managers, designers, engineers, and business leads to scope, plan, design, build, and launch new features as well as maintain existing functionality of our product controls ecosystem
• Lead technical discussions within your team and contribute to design and product discussions with partners across the organization
• Leverage your experience and knowledge to grow your teammates' technical breadth and depth through mentoring
• Direct AI agents across the full development lifecycle — from prototyping and implementation to debugging and code review — operating as the architect and decision-maker while AI handles the building
• Expand what's possible with AI tooling — identify opportunities to automate repetitive work, improve code quality through AI-driven review, and share effective patterns with your team

You Have

• 6+ years experience building and operating highly available services
• Experience contributing to cross-functional technical efforts and coordinating across teams
• Strong collaboration skills and customer empathy
• A growth mindset and comfort navigating open-ended problems
• Well-developed curiosity and initiative to build creative solutions to complex problems
• Contributed to the growth of fellow engineers through technical leadership and mentoring
• Demonstrated fluency with AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot, or similar agentic coding tools) in real production work — not just familiarity, but regular, effective use
• You stay current on the rapidly evolving landscape of AI tooling and actively experiment with new capabilities as they emerge

Technologies We Use and Teach

• AI-Driven Development: Claude Code, Goose (Block's open-source AI agent), Cursor, GitHub Copilot, Anthropic's Model Context Protocol (MCP)
• Kotlin, Java
• HTTP, JSON, gRPC, Protocol Buffers
• DynamoDB, MySQL
• Event-driven architecture (Kafka)
• DataDog, Prometheus
• AWS, Kubernetes

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations throughout the recruitment process. If you require an accommodation, let your recruiter know.  Want to learn more about what we’re doing to build an inclusive workplace? Check out our Inclusion & Diversity page.

About the Team:

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.

Synthesis Health

Who We Are

We’re a mission- and values-driven company with tremendous dedication to our customers. Our 100% remote team is dedicated to a common goal – to revolutionize healthcare through innovation, collaboration, and commitment to our core values and behaviors.

About the Opportunity

We are looking for a Staff Data Engineer who serves as the universal data architect for our platform.

In this role, you will bridge the gap between application engineering and data infrastructure. You will possess a "big picture" understanding of our entire data ecosystem—OLTP, OLAP, NoSQL, and Relational. You will own the optimization of our high-volume data pipelines, but equally, you will tune the operational databases that power our services and design the warehousing strategies that drive our analytics.

You will be the authority on data physics: defining how we ingest massive bursts of medical information, how we model it for high-performance transactional locking, and how we transform it for analytical querying without friction.

This is a high-leverage leadership role. You will set the standard for data engineering excellence, mentoring Senior engineers and defining the architectural patterns that keep our platform performant as we scale 100x and beyond.

Key Responsibilities

Polyglot Data Architecture & Performance

• Universal Store Optimization: You will be the ultimate authority on the performance of our persistent stores. You will tune AlloyDB (PostgreSQL) for complex transactions (OLTP), optimize NoSQL layers, and structure BigQuery for analytical speed (OLAP).
• Prevent Congestion & Latency: You will proactively identify and resolve "hot spots" in our data architecture. You will design strategies for sharding, partitioning, and active-archiving that ensure our operational systems remain lean while our analytical history grows indefinitely.

High-Volume Pipeline & Ingestion Strategy

• Ingestion at Scale: You will architect robust, backpressure-aware pipelines to handle high-throughput ingestion of HL7 and DICOM metadata. You will ensure our systems can absorb bursty traffic without degrading the user experience.
• Stream & Batch Convergence: You will design the flows that move data from operational stores to our data warehouse, ensuring freshness and consistency. You will determine when to use real-time streams versus batch processing to balance cost and latency.

Service Design & Data Governance

• Define Data Contracts: You will act as a key voice on the Architecture Review Board (ARB), defining the "rules of the road" for how microservices interact with the data layer. You will enforce strict data contracts that decouple services from the underlying storage engine.
• Mentorship: You will elevate the data engineering capabilities of the entire organization. You will mentor other engineers on advanced query optimization, data modeling (Star Schema vs. 3NF), and the nuances of distributed data consistency.

What We’re Looking For

• Elite Data Engineering Experience: 8+ years of experience designing and optimizing data-intensive applications. You have a track record of solving hard scaling problems across the entire data lifecycle.
• Universal Data Fluency: You have deep expertise across the spectrum: Relational (AlloyDB/PostgreSQL internals, MVCC, locking), NoSQL (Document stores, Key-Value), and Warehousing (BigQuery/Snowflake internals, columnar storage).
• Pipeline Proficiency: Expert-level knowledge of building and optimizing data pipelines using tools like Kafka/PubSub, Beam/Dataflow, or dbt. You understand how to handle late data, duplicates, and exactly-once processing.
• Service & System Design: You understand how data stores fit into a broader microservices architecture. You can design synchronous vs. asynchronous data access patterns that protect the database from application-layer thundering herds.
• Coding Skills: Strong proficiency in Python, Java, SQL. You write clean, maintainable code for infrastructure and data transformation.
• Performance Obsession: You have a proven ability to debug complex data performance issues, from tuning query execution plans and resolving lock contention to optimizing high-throughput ingestion pipelines for minimal lag.

Preferred Qualifications

• Healthcare Data: Familiarity with the specific challenges of healthcare data (DICOM hierarchy, HL7 message structures) and compliance (HIPAA).
• Real-Time Analytics: Experience architecting real-time analytics dashboards or hybrid transactional/analytical workflows.
• Migration Experience: Experience leading zero-downtime database migrations or major schema refactors in a 24/7 environment.

Why You Should Join Us

• Solve Our Toughest Puzzles: This is a high-leverage role. You will be working on the most impactful technical challenges that are critical to the company's success.
• Define the Architecture: You won't just be maintaining a system; you will be a primary author of its future state, with the autonomy to make it happen.
• Lead from the Front: This is a chance to establish yourself as a key technical voice in a rapidly growing company.
• Competitive Compensation & Benefits: We offer a strong salary, a 100% remote culture, and significant opportunities for growth.

We are a values-driven company. Our values:

• Clinical service first.
• Collaborate with our customers.
• Listen, respect, learn.
• Innovate to excel.

The behaviors we look for:

• Be nice.
• Be creative.
• Be honest.
• Be helpful.

Compensation and Benefits

Typical salary range for this position is $120,000 - $150,000 (CAD). However, Synthesis participates in location based hiring and salary ranges can be adjusted based on candidate's residence. 

Other benefits include, but are not limited to: Medical, Dental, Vision, “Use as needed” vacation policy, and participation in our employee option program.

Synthesis Health

Who We Are

We’re a mission- and values-driven company with tremendous dedication to our customers. Our 100% remote team is dedicated to a common goal – to revolutionize healthcare through innovation, collaboration, and commitment to our core values and behaviors.

About the Opportunity

We are looking for an experienced Sr. Platform Engineer to help build the next generation of our cloud-native healthcare platform. You will be a key technical contributor, responsible for designing, building, and owning critical components that form the backbone of our systems. You will focus on improving the scalability, performance, and reliability of our services, enabling our product teams to deliver innovative features to our customers faster and more securely.

If you are a builder who thrives on solving complex distributed systems problems, enjoys mentoring others, and wants to make a significant impact on healthcare, this is the perfect opportunity for you.

Key Responsibilities

• Design and Build Core Platform Services: Design, develop, and maintain scalable, resilient, and secure platform components and microservices that are critical to project success and product capabilities.
• Drive Performance and Reliability: Promote and implement best practices for observability, monitoring, and performance testing. You will analyze and optimize application-level performance for our critical workflows, ensuring they meet strict uptime and speed requirements.
• Improve System Architecture: Contribute to the analysis of our platform architecture, helping to identify performance bottlenecks, improve data and caching flows, and simplify architectural complexity.
• Elevate Code Quality: Write clean, maintainable, and well-tested code for core platform services. You will set a high standard for code quality and testing within the team by leading design reviews and providing constructive feedback.
• Lead with Technical Expertise and Mentorship: Formally or informally mentor junior engineers, helping to level up the team through code reviews, knowledge sharing, and hands-on guidance. You will significantly influence your team's technical direction and decisions.
• Create Excellent Documentation: Produce clear, high-quality architectural diagrams and technical documentation for the components you own, contributing to the team's shared knowledge base.

What We’re Looking For

• Experience in Distributed Systems: 5+ years of software engineering experience with a strong track record of designing, building, and operating scalable and high-performance services.
• Strong Architectural and Design Skills: You can independently tackle complex technical challenges within your domain, architecting robust solutions and making sound technical trade-offs with minimal guidance.
• Performance and Debugging Expertise: You have hands-on experience instrumenting and debugging performance issues across a full stack—from application code and databases to caching layers and infrastructure—using modern performance profiling and monitoring tools.
• Hands-On Expertise with Modern Tech Stacks: You have practical knowledge of the principles and technologies behind our platform:
  • Microservices, event-driven design, and distributed architectures.
  • Cloud platforms (GCP preferably), with hands-on experience in Docker and Kubernetes (e.g., GKE, Cloud Run).
  • Expertise across relational and NoSQL databases (e.g., PostgreSQL/AlloyDB, MongoDB, Redis) and data warehousing (e.g., BigQuery).
  • Real-world experience with Pub/Sub messaging systems (e.g., Google Cloud Pub/Sub, Kafka).
  • Statically typed languages (e.g., TypeScript, Go, C/C++, Java, Rust).
  • Gitflow branching model.
• Clarity in Communication: You can clearly articulate complex technical ideas to both technical and non-technical stakeholders. Your diagrams and documents are a source of clarity.
• Leadership Through Influence: You have a demonstrated ability to influence your team's technical direction, driving consensus, and elevating the bar for engineering excellence.

Preferred Qualifications

• Healthcare Domain Experience: While engineering excellence is paramount, your application will stand out if you have experience in regulated industries. Deep familiarity with healthcare data standards (DICOM, HL7) and compliance regulations (HIPAA) is a significant advantage.

Why You Should Join Us

• Solve Challenging Problems: This is a high-leverage role. You will be working on impactful technical challenges that are critical to the company's success.
• Build the Future of Healthcare: You won't just be maintaining a system; you will be a primary builder of its future state, with the autonomy to own major components.
• Make a Major Impact: This is a chance to establish yourself as a key technical voice on a team that is transforming healthcare.
• Competitive Compensation & Benefits: We offer a strong salary, meaningful equity, a 100% remote culture, and significant opportunities for growth.

We are a values-driven company. Our values:

1. Clinical service first.
2. Collaborate with our customers.
3. Listen, respect, learn.
4. Innovate to excel.

The behaviors we look for:

1. Be nice.
2. Be creative.
3. Be honest.
4. Be helpful.

Compensation and Benefits

Typical salary range for this position is $85,000 - $110,000. However, Synthesis participates in location based hiring and salary ranges can be adjusted based on candidate's residence. 

Other benefits include, but are not limited to: Medical, Dental, Vision, “Use as needed” vacation policy, and participation in our employee option program.

Synthesis Health

Who We Are

We’re a mission- and values-driven company with tremendous dedication to our customers. Our 100% remote team is dedicated to a common goal – to revolutionize healthcare through innovation, collaboration, and commitment to our core values and behaviors.

About the Opportunity

We are looking for a Staff Platform Engineer to serve as the architect of our edge.

In this critical role, you will own the boundary between the world and our platform. You will own the "Customer Edge"—the mission-critical software gateways that run inside hospital networks, acting as the secure bridge for DICOM and HL7 data into our cloud platform.

You will solve unique distributed systems challenges: How do you buffer terabytes of imaging data on-premise when the hospital's internet goes down? How do you safely auto-update thousands of remote agents behind strict enterprise firewalls? How do you enforce fairness and rate limiting to prevent one tenant from degrading the experience for everyone else?

This is a hands-on leadership role. You will write high-performance code, define the architectural patterns for edge ingestion, and mentor engineers on the nuances of network reliability and secure tunneling.

Key Responsibilities

Customer Gateway Architecture & High Availability (HA)

• On-Premise Gateway Reliability: You will architect our edge gateway software to run reliably within customer data centers. You will implement HA patterns to ensure that a single hardware failure never stops critical patient data flow.
• High-Performance Ingestion: You will optimize the ingestion path for massive DICOM studies and HL7 streams. You will implement local queuing and backpressure mechanisms that protect our core platform from being overwhelmed by "thundering herds" of data when connectivity is restored after an outage.
• Versioning & Fleet Management: You will design the control plane for our distributed fleet of gateways. You will solve the "Day 2" operations challenge: architecting automated, over-the-air (OTA) update mechanisms that allow us to patch, upgrade, and version-manage thousands of remote agents without manual intervention or customer downtime.

Cloud Ingestion & Throughput Protection

• Resilient Ingestion Strategy: You will design the cloud-side ingestion layer (using technologies like Kafka or PubSub) to absorb massive bursts of traffic. You will ensure that our architecture can handle "thundering herds" from reconnected agents without dropping a single packet of patient data.
• Load Shedding & Fairness: You will implement sophisticated fairness algorithms and load shedding strategies at the ingestion point to ensure that no single customer gateway can monopolize cloud resources or degrade the performance of the broader platform.

Network & Connectivity Security

• Secure Tunnels: You will design the secure connectivity patterns (e.g., mutual TLS, reverse tunnels, VPNs) that allow our cloud to communicate with private hospital networks without requiring complex firewall exceptions.
• Mentorship: You will be the subject matter expert (SME) on networking and edge computing. You will mentor the team on TCP/IP mechanics, TLS optimization, and low-level network debugging.

What We’re Looking For

• Deep Edge & Networking Experience: 8+ years of engineering experience, with a focus on Edge Computing or Distributed Agents. You understand the physics of the internet, from TCP congestion control to TLS handshakes.
• Hybrid/On-Prem Expertise: You have shipped software that runs in customer environments (on-prem). You understand the constraints of enterprise firewalls, proxies, and limited bandwidth.
• Language Fluency: Deep expertise in Go (Golang) or TypeScript is required.
• Queuing & Streaming: Expert-level knowledge of asynchronous architectures using Google Cloud Pub/Sub, Dataflow, or Kafka. Given our GCP environment, deep proficiency with Pub/Sub and Dataflow is highly preferred. You understand backpressure and how to design for eventual consistency.
• Containerization: Experience distributing software via Docker/Kubernetes and managing container lifecycles in remote environments.

Preferred Qualifications

• Healthcare Interoperability: Deep, hands-on experience building integrations against DICOM (C-STORE, DIMSE services) or HL7 MLLP protocols. You understand the nuances of the association negotiation, transfer syntaxes, and strict acknowledgment requirements necessary to reliably accept data from legacy hospital systems.

Why You Should Join Us

• Solve Our Toughest Puzzles: This is a high-leverage role. You will be working on the most impactful technical challenges that are critical to the company's success.
• Define the Architecture: You won't just be maintaining a system; you will be a primary author of its future state, with the autonomy to make it happen.
• Lead from the Front: This is a chance to establish yourself as a key technical voice in a rapidly growing company.
• Competitive Compensation & Benefits: We offer a strong salary, a 100% remote culture, and significant opportunities for growth.

We are a values-driven company. Our values:

• Clinical service first.
• Collaborate with our customers.
• Listen, respect, learn.
• Innovate to excel.

The behaviors we look for:

• Be nice.
• Be creative.
• Be honest.
• Be helpful.

Compensation and Benefits

Typical salary range for this position is $120,000 - $150,000 (CAD). However, Synthesis participates in location based hiring and salary ranges can be adjusted based on candidate's residence. 

Other benefits include, but are not limited to: Medical, Dental, Vision, “Use as needed” vacation policy, and participation in our employee option program.