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.

Lyft is looking for experienced software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our riders and drivers.

As a Software Engineer for Lyft Ads - you will work on one of Lyft’s newest lines of business focused on building the world’s largest transportation media network. We build products that allow brands to engage with our unique audience throughout their transportation journeys and beyond. For this role we are seeking software engineers who are passionate about backend and data engineering. You will join our Ad Infra Engineering team and contribute to building the systems and pipelines powering our ad-serving, measurement and audience platform. We work on technologies that let brands engage with our unique audience throughout their transportation journeys. This role is a great opportunity for an early-career engineer to gain experience working with distributed backend systems and large-scale data workflows, collaborating closely with product, analytics, and data science teams.

Why Lyft Ads?

• Be part of a high-impact team building the foundations of Lyft’s advertising infra
• Gain experience working with complex systems at scale, backed by mentorship and growth opportunities.
• Join a supportive, inclusive environment focused on engineering excellence and business impact.

Responsibilities:

• Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting.
• Design and implement scalable data models to support analytics, targeting, and measurement use cases.
• Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data.
• Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows.
• Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds.
• Write clean, maintainable, and testable code following best practices (CI/CD, observability, code reviews).
• Participate in architecture discussions and design reviews with an emphasis on performance and reliability.
• Learn and grow through mentorship, documentation, and regular team collaboration.

Experience:

• BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
• 3+ years of industry experience in backend or data engineering roles
• Proficiency in at least one backend programming language (e.g., Python, Go, Java)
• Good understanding of distributed systems, microservices, and database design (SQL and NoSQL).
• Exposure to orchestration tools (e.g., Airflow, Prefect) and data distribution technologies (e.g., Kafka, Pub/Sub).
• Experience working with relational and non-relational databases (e.g., PostgreSQL, BigQuery, DynamoDB).
• Experience with Linux.

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 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 Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto and remote locations.

What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and support exactly-once processing as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.

What you'll do

You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it.

Responsibilities

• Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services
• Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end
• Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale
• Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations
• Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)
• Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability
• Work closely with the open source community to identify opportunities for adopting new open source features as well as contribute back to OSS

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

• This is a Staff-level role - that typically means 10+ years of experience building, operating, and evolving large-scale production systems
• Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments
• Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot
• Experience developing, maintaining and debugging distributed systems built with open source tools
• Experience building and scaling infrastructure as a product
• Strong software engineering skills and a passion for Big Data Distributed Systems
• Ability to write high quality code (in programming languages like Go, Java, Scala, etc)
• Comfortable operating with high autonomy and ownership
• Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed
• Strong written and verbal communication skills, including the ability to produce clear technical documentation

Preferred qualifications

• Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale
• Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production
• Experience building or operating control planes for managing large-scale infrastructure
• Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc)

About this role

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

What You Will Do

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

What it takes

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

Tech Stack

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

Salary Range

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

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

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

This job posting is for an existing vacancy.

Who We Are

Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.

About The Role

As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.

What You’ll Do

• Design, build, and manage robust data pipelines and data architectures.
• Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
• Optimize data workflows, ensuring reliability, scalability, and performance.
• Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
• Ensure data security and compliance with industry standards and best practices.
• Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
• Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Qualifications

• Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
• 4+ years of professional experience as a Data Engineer or similar role.
• Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
• Hands-on experience with data pipeline tools, cloud services, and storage solutions.
• Strong programming skills in SQL, Python, or related languages.
• Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
• Excellent analytical, troubleshooting, and problem-solving skills.
• Ability to effectively communicate technical concepts clearly to non-technical stakeholders.

Nice to have

• Certifications related to Azure Data Engineering, Databricks, or Snowflake.
• Familiarity with DevOps practices and CI/CD pipelines.

Perks and Benefits

• Comprehensive Health & Wellness Benefits Package 
• Retirement Planning
• Parental Leave Program
• Annual tech & travel allowance
• Flexible Working Hours
• Work from Home Flexibility
• Service Recognition Programs
• Socials, Outings & Retreats
• Culture of Learning & Development

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

The estimated compensation for this position is $120,000 to $145,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

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

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

This role will require being full-time onsite at our Toronto office to support collaborative team dynamics and innovative problem-solving.

BitGo is seeking a Senior Software Engineer to build the next generation of trade settlement infrastructure for institutional crypto trading. You will design robust state machines and event-driven microservices that power order management and double-entry accounting. 

Responsibilities:

• Architecture & Development: Design and build scalable APIs and atomic settlement workflows. Implement fund encumbrance processes, multi-currency settlement, and robust state machines across event-driven microservices.
• Financial Integrity: Prioritize correctness over speed. Ensure data quality by implementing strategic database locking, defense-in-depth invariant checking, and clear audit trails for financial reconciliation.
• Testing & Scientific Debugging: Write rigorous tests (unit, integration, load) covering edge cases, idempotency guarantees, and invariant violations. Methodically debug distributed systems issues, including race conditions, transaction isolation conflicts, and deadlocks.
• Mentorship & Code Quality: Write clean code adhering to DRY and SoC principles. Mentor peers through thorough code reviews, catching precision bugs, concurrency issues, and architectural anti-patterns.
• End-to-End Ownership: Own features from architectural design to deployment. Document system architecture, account relationships, and workflows for internal teams and third-party developers.

Skills & Experience: 

We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for staff who share our vision and mission: deliver trust in digital assets.

Required:

• Experience: 6+ years of backend development, with 2+ years specifically in complex financial systems (trading platforms, order management, clearing/settlement, or payment processing).
• Tech Stack: Strong proficiency in TypeScript, Node.js, and/or Golang.
• Database & Messaging: Deep expertise in PostgreSQL (transaction management, locking, query optimization) and event-driven architectures using Kafka.
• Distributed Systems: Strong command of microservices architecture, inter-service communication, data consistency patterns, and concurrency.
• AI Tool Fluency: Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor) in daily workflows, coupled with the rigorous ability to validate AI-generated code for correctness and security in financial contexts.
• Fundamentals: Bachelor’s degree in Computer Science, Math, or a related field. Exceptional algorithm design, problem-solving, and API design skills.
• Domain Passion: Strong interest in the trading industry, crypto markets, and blockchain technology.

Preferred:

• Advanced Kafka knowledge (consumer patterns, retry policies, dead letter queue/DLQ handling).
• Deep understanding of compliance controls, audit trail requirements, and two-operator approval workflows.
• Proven experience building high-scale, public-facing APIs in a production environment.
• Ability to work full-stack, with familiarity in React.
• Experience developing consumer-facing crypto products or working directly with client operations.

Why Join BitGo?

Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of open communication, collaboration, accountability, craftsmanship, and a client first approach. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want to be part of the team that changes the world's financial markets.

Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed finance.

Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $180,000 - 220,000 CAD base salary. Equity, an annual performance bonus and employee benefits are a part of this role's package. 

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

This will be a remote role to start, with plans to transition to hybrid in-office 2x/week located in downtown Toronto.

About OpenTable: 

With millions of diners, 60,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most – their team, their guests, and their bottom line – while enabling diners to discover and book the perfect restaurant for every occasion.

Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture.

The Opportunity 

The Diner Core Reservation team builds and operates the systems that power the reservation lifecycle for the core diner experience – from slot lock and booking through change, cancel, confirm, and downstream event publication. These systems sit at the center of a critical set of diner, restaurant and partner flows, serving OpenTable web and mobile clients as well as partner integrations, and they operate multi-region with strict expectations around correctness, latency, and reliability.

We’re looking for a Senior Engineer who can design and deliver changes in a complex reservation domain, raise the bar on software quality, and help the team move quickly without compromising reliability. The team works across a mix of C#/.NET and Java services and supporting systems, and the role requires comfort navigating both ecosystems. Other technologies you’ll work with include Redis, relational databases such as Postgres or SQL Server, in-memory and distributed caches, RESTful APIs, and Kafka-based event-driven architectures (EDA).

What You'll Do

You’ll be a hands-on backend engineer: writing code, contributing to design docs, reviewing changes thoughtfully, and owning work from design through rollout, observability, and iteration.

Code craft and Architecture

• Design, implement, and evolve backend services and APIs that support various reservation related workflows
• Build a strong understanding of how reservation flows interact with adjacent systems such as partner APIs, restaurant systems, payment services, and event publishers.
• Contribute to resilient service behavior in distributed systems, including thoughtful handling of retries, rollback, failure modes, and cross-region routing.
• Write maintainable, well-tested code with a strong emphasis on integration testing and production readiness for business-critical reservation flows.
• Use AI tooling thoughtfully to accelerate implementation, design exploration, testing, and incident analysis while maintaining a high quality bar.

Drive execution and outcomes

• Break down large, ambiguous reservation initiatives into clear technical workstreams that can be delivered incrementally.
• Partner effectively with Product, TPM, and neighboring engineering teams to resolve dependencies and move projects forward.
• Take ownership of production issues, triage them calmly, communicate clearly, and drive fixes through to completion.
• Provide clear, actionable updates on the work you own and help keep execution grounded in measurable outcomes.

Team Contribution 

• Participate meaningfully in code reviews and design reviews, giving feedback that improves quality, simplicity, readability, testability and long-term maintainability.
• Help improve engineering standards around testing, documentation, rollout safety, and operational excellence.
• Share knowledge across the team and contribute to a healthy engineering culture grounded in thoughtful debate, collaboration, and continuous improvement.
• Participate in communities of practice, ensuring our systems align with platform-wide standards while feeding local needs back into those standards.

What We're Looking For

• Strong experience designing, implementing, and operating backend services in C#/.NET and/or Java, with the ability to quickly ramp up in either ecosystem. 
• Hands-on experience with Redis and other cache technologies, including key design, eviction strategies, cache invalidation patterns, and multi-layer caching topologies.
• Solid understanding of event-driven architectures and Kafka (or similar systems)
• Solid experience with database systems (SQL/NoSQL), including schema design, indexing strategies, query optimization, and handling high-volume read/write workloads.
• Good grasp of distributed systems fundamentals and observability and performance tuning in production 
• Strong testing instincts, including unit and integration testing for critical flows.
• Comfortable using AI-assisted development tools (for example, to accelerate implementation, test coverage, code reviews, or incident analysis) in a safe and responsible way.

Nice to Have

• Experience in reservation, booking, marketplace, or other transaction-heavy platforms.
• Familiarity with payment-related reservation flows such as credit card holds, deposits, or prepaid experiences.
• Experience working with event-driven systems, regionalized services, or highly-integrated legacy-to-modernized architectures.
• Demonstrated ownership: you proactively identify problems, unblock yourself and others, and drive work to completion.
• Ability to take ambiguous requirements and translate them into clear, well-reasoned technical solutions.
• Comfortable collaborating with cross-functional stakeholders and balancing technical constraints, user experience, and business impact.
• Clear communicator who can explain technical findings and trade-offs effectively to engineers and non-engineers.

Benefits and Perks

• Generous paid vacation (20 days) + time off for your birthday
• Work from (almost) anywhere for up to 20 days per year
• Focus on mental health and well-being:
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to Headspace
  • Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
• Paid parental leave
• Paid volunteer time
• Focus on your career growth:
  • Development Dollars
  • Leadership development
  • Access to thousands of on-demand e-learnings
• Travel Discounts
• Employee Resource Groups
• Private health and dental insurance
• Life and Disability insurance

The expected range of compensation for this position based in Toronto, Canada, including commission and/or bonuses is $140,000 - $155,000 CAD. There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required.

We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant.

Work Environment & Flexibility

At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations.

Inclusion

We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve—and fostering a culture where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.

S'more about the team

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

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

Lettuce share what this role will be responsible for

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

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

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

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

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

Flexible Hybrid Approach

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

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

#LI-HYBRID

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

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

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

What you’ll be doing

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

What you’ll bring to our teams

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

Extra points

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

#LI-REMOTE

#LI-SH1
P24754_3365760

The Opportunity

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

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

What you’ll achieve

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

What you’ll bring

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

Bonus Points

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

#LI-Hybrid

P15407_3389736

#LI-Hybrid

P15407_3389736

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 Organizations 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 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 

• Manage, mentor and coach a team of 9 remote engineers, with seniorities up to Staff Engineer level
• Effectively partner with your Product Manager on planning and delivering the team’s quarterly and annual roadmap
• Own and be accountable for the quality of the team’s technical estate, effectively managing technical debt, addressing security vulnerabilities and ensuring wider cross-team technical initiatives are delivered in a timely manner
• Review, provide feedback and help steer the technical design of the features the team is delivering, ensuring these can meet the scale at which Auth0 is operating
• Work with other engineering managers in the group to drive cross-team projects and leadership initiatives

What you’ll bring to the role

• You effectively bridge the asks and needs of the business and the team itself with successful outcomes
• You are people-oriented,  and know how to best support your reports to elevate them to next levels of performance. You have experience growing engineers to the next level, and bringing off-track engineers back on track.
• You have worked on projects that required close collaboration with external teams, and have experience making those a success.
• You bring solid architectural knowledge, backed by experience in designing, implementing and evolving complex distributed systems. In particular, you can spot areas where scalability and performance might be affected.
• You know how to track and steer a project to successful and timely delivery.

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

• Knowledge of authentication protocols such as OAuth2, OIDC, SAML.
• Understanding of event-driven architectures, especially Apache Kafka.

#LI-Hybrid
#LI-EZ1

P15537_3419576

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

What you’ll be doing

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

What you’ll bring to our teams

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

Extra points

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

#LI-REMOTE

#LI-SH1
P24750_3365759

About the Role:

We are looking for a Senior Software Engineer to architect, build, and maintain the data infrastructure at Gusto.  As part of the Data Platform team, you will collaborate closely with Data Science, Business Intelligence, and analysts across Gusto teams to help them achieve their goals. 

The Data Platform position is a software development role with knowledge of data architectures and data delivery. The ideal candidate is passionate about developing software, working with data, and

Here’s what you’ll do day-to-day:

• Architect, build, and refine our infrastructure and tools that enable other teams to work with data.
• Efficiently handle vast amounts of clickstream, database, and third party application data, processing in batch and real-time
• Take full ownership of the solutions you build, working with stakeholders to develop requirements, implement solutions, monitor production, and troubleshoot problems that arise.
• Work as part of a team. We value team players who share their knowledge and like collaborating with others.

Here’s what we're looking for:

• • At least 7 years of software engineering experience.
  • Experience building solutions in the cloud, AWS preferred (Redshift, MSK, EMR).
  • Experience with OLAP databases (Clickhouse)
  • Experience building data pipelines at scale, Airflow and Python preferred.
  • Experience with streaming systems desired (Kafka, Kinesis, or similar).
  • Ability to turn vague requirements into clear deliverables with minimal guidance.
  • Experience building and maintaining a modern data stack in production.

Our cash compensation amount for this role is targeted at $163,000-$204,000/year in Denver, $178,000-$223,000/year in Los Angeles, and $197,000-$247,000/year for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

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

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

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

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

Responsibilities:

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

Experience:

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

Benefits:

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

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

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

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

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

This job fills an existing vacancy.

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

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

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

Responsibilities

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

Experiences

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

Benefits

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

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

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

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

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

This job fills an existing vacancy.

About Clutch

Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee.
Named one of Canada’s Top Growing Companies two years in a row and awarded a spot on LinkedIn’s Top Canadian Startups list, we’re looking to add curious, hard-working, and driven individuals to our growing team.
Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by world-class investors including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca

Technology

• Full TypeScript stack for front- and back-end, with some legacy JavaScript

• Front-end: ReactJS with functional components and context API

• Back-end: ExpressJS with PostgreSQL and Sequelize ORM

• Microservices architecture using Docker, Terraform, AWS ECS, and other AWS services

• Interservice communication via RabbitMQ and Apache Kafka

About the role

Clutch is seeking a Software Engineer (Full-Stack / Backend / Frontend) to help build and scale our technology platform. You will write clean, reliable code, design scalable architectures, and collaborate with stakeholders to improve the customer experience.

What you’ll do

• Write clean, readable, and testable code that adheres to best practices and ensures reliability

• Collaborate with the team to design and implement scalable, secure architectures

• Work closely with stakeholders to understand requirements and deliver improvements to the online experience

• Participate in peer review sessions, provide constructive feedback, and engage in system design discussions

• Lead the full development lifecycle of projects, from planning to development, testing, and maintenance

• Coordinate with cross-functional teams to meet project milestones and drive successful outcomes

What we’re looking for

• B.S. degree in Software Engineering or equivalent experience

• 4+ years of industry experience developing software solutions

• Proficiency in one or more modern programming languages (TypeScript, Python, Go, Ruby, C#, Rust, etc.)

• Strong understanding of Frontend and/or Backend frameworks (React, Vue, Express, Flask, Ruby on Rails, etc.)

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud

• Experience with relational databases (PostgreSQL, MySQL, Oracle) and writing efficient SQL queries, schema design, and performance optimization

• Knowledge of testing frameworks for unit, integration, and end-to-end testing

• Experience optimizing application performance and resolving bottlenecks

• Comfortable working in Agile environments (Scrum or Kanban) using tools like Jira or GitHub Projects

Why you’ll love it at Clutch

• Autonomy & ownership – create your own path and own your work

• Competitive compensation and equity incentives

• Generous time off program

• Health & dental benefits

Employment Type

Existing, Permanent Full-Time

Compensation & Benefits

• Salary: $160,000 - $200,000 annually 

• Equity incentives

• Comprehensive healthcare, dental, vision, prescriptions, life insurance, and dependent coverage

• Pay reflects skills, performance, market benchmarking, responsibilities, and working conditions

Clutch is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email talent@clutch.ca

About the Role:

As a Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.

A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.

You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams.

We currently have multiple openings;

• Staff Software Engineer
• Principal Software Engineer
  • Additional Details: As a Principal Engineer on the ML Infrastructure team, you will be a technical leader and visionary, driving the evolution of our machine learning platform. You will tackle the most complex and impactful technical challenges, shaping the architecture and technology choices that enable our ML capabilities to scale and deliver exceptional user experiences. You will be a key influencer, bridging the gap between engineering and product, and a mentor to senior engineers, fostering a culture of technical excellence and continuous improvement. Your work will be used by millions of users.

Responsibilities:

• Design and build scalable, high throughput, and low latency distributed systems using Scala
• Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration
• Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art.
• Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary
• Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc.
• Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi.  

Your Background:

• Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM based language is a plus.
• Strong experience with AWS or an equivalent cloud platform
• Experience building online microservices at scale with low latency serving
• Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka), and caches (e.g. Redis)
• Experience with containerization technologies, such as Docker or Kubernetes
• Led the response and resolution efforts for multiple major, large-scale incidents

Bonus:

• Familiarity with the machine learning infrastructure like inference engines (e.g. torschserve, triton, vLLM), vector stores (e.g. LanceDB, FAISS), feature stores (e.g. Feast), ElastiCache, model training orchestration, etc.
• Understanding of ML model training pipelines and model internals. Experience with Recommender Systems, Search, Autocomplete and Ads ML is a plus
• Previous experience with Akka, Erlang, Elixir or Go
• Proficient in data-driven analysis of complex A/B testing results

About Tubi:

Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

#LI-Hybrid

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

At Cash App, we strive to build the best consumer financial products in the world. The Cash App Banking team aspires to make Cash App the primary place for our customers to store, manage, and move money across all their banking needs. We achieve this by providing various offerings including a range of deposit and transfer options, savings and automation tools, and a suite of benefits for Banking customers, all while ensuring a fast and reliable experience.

As a software engineer on the Cash App Banking server engineering team, you will design, develop, and deliver new banking experiences, through close collaboration across teams and disciplines. The things that you build will create significant impact at scale and will fundamentally change the consumer banking landscape as we know it today.

You Will

• Partner closely with your team to design, develop, test, ship, and maintain customer-facing features
• Participate in critical technical discussions and play an active role as a reviewer of design documents and code changes
• Design and implement systems to work within our microservice and event-driven architectures
• Hold your teammates and yourself to high engineering standards
• Apply an AI-first mindset using tools to improve development speed and quality, continuously experimenting with emerging approaches

You Have

• 5+ years of software development or equivalent experience
• Drive to find flaws in a system with many moving parts and take whatever steps are necessary to fix them
• A growth mindset and an appetite in solving open-ended and ambiguous problems
• Strong communication and collaboration skills
• Bachelor's Degree or Diploma in Computer Science, Computer Engineering, Software Engineering, or equivalent experience

Technologies We Use and Teach

• Java, Kotlin
• AWS
• HTTP, JSON, gRPC, Protocol Buffers
• OkHttp, Jetty, JUnit, Guice
• Hibernate, MySQL, DynamoDB
• Kafka, events, microservices
• DataDog, Prometheus, SignalFx

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.

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

At Cash App, we strive to build the best consumer financial products in the world. The Cash App Banking team aspires to make Cash App the primary place for our customers to store, manage, and move money across all their banking needs. We achieve this by providing various offerings including a range of deposit and transfer options, savings and automation tools, and a suite of benefits for Banking customers, all while ensuring a fast and reliable experience.

As a staff software engineer on the Cash App Banking server engineering team, you will help lead the overall technical strategy of the team, through close collaboration across teams and disciplines. In addition, you'll drive cross-cutting architectural decisions and infrastructure improvements to make our systems more robust and scalable. You will also foster the growth of aspiring engineers to expand their scope of influence beyond their immediate teams. The things that you build will create significant impact at scale and will fundamentally change the consumer banking landscape as we know it today.

You Will

• Partner closely with product managers, designers, engineers, and business leads to develop, communicate and execute technical strategies that benefit the Banking organization
• Play a critical role in influencing leaders across the organization and company to drive consistent, sound and efficient technical decisions
• Stay close to the details of systems that power our products by directly contributing to technical designs and staying hands on with code contributions
• Hold your teammates and yourself to high engineering standards
• Leverage your experience and knowledge to grow your teammates' technical breadth and depth through direct coaching and mentoring
• Apply an AI-first mindset in your everyday work, raising the bar of AI application across the team by staying connected to efforts across the organization

You Have

• 12+ years of software development or equivalent experience
• 3+ years of experience leading large scale features, which includes planning, managing and executing on the delivery projects in a timely manner while maintaining a high quality bar
• Drive and experience in identifying, aligning and landing globally optimal solutions in a system with many moving parts
• The ability to design and build creative solutions to complex problems
• A strong track record in helping other engineers grow
• Bachelor's Degree or Diploma in Computer Science, Computer Engineering, Software Engineering, or equivalent experience

Technologies We Use and Teach

• Java, Kotlin
• AWS
• HTTP, JSON, gRPC, Protocol Buffers
• OkHttp, Jetty, JUnit, Guice
• Hibernate, Aurora, MySQL, DynamoDB, Redis
• 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.

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

At Cash App, we strive to build the best consumer financial products in the world. The Cash App Banking team aspires to make Cash App the primary place for our customers to store, manage, and move money across all their banking needs. We achieve this by providing various offerings including a range of deposit and transfer options, savings and automation tools, and a suite of benefits for Banking customers, all while ensuring a fast and reliable experience.

As a senior software engineer on the Cash App Banking server engineering team, you will lead the technical design, execution, and delivery of new banking experiences through close collaboration across teams and disciplines. In addition, you'll drive architectural decisions and infrastructure improvements to make our systems more robust and scalable. The things that you build will create significant impact at scale and will fundamentally change the consumer banking landscape as we know it today.

You Will

• Partner closely with product managers, designers, engineers, and business leads to scope, plan, design, and build new features as well as maintain existing functionality of banking features
• Lead and participate in critical technical, design, and product discussions within the team and with leaders across the organization
• Design systems to work within our microservice and event-driven architectures
• Hold your teammates and yourself to high engineering standards
• Leverage your experience and knowledge to grow your teammates' technical breadth and depth through direct coaching and mentoring
• Apply an AI-first mindset in your everyday work, raising the bar of AI application on our team

You Have

• 8+ years of software development or equivalent experience
• 1+ years of experience leading large scale features, which includes planning, managing and executing on the delivery projects in a timely manner while maintaining a high quality bar
• Drive to find flaws in a system with many moving parts and take whatever steps are necessary to fix them
• The ability to design and build creative solutions to complex problems
• A strong desire to perform and grow as an engineer
• Bachelor's Degree or Diploma in Computer Science, Computer Engineering, Software Engineering, or equivalent experience

Technologies We Use and Teach

• Java, Kotlin
• AWS
• HTTP, JSON, gRPC, Protocol Buffers
• OkHttp, Jetty, JUnit, Guice
• Hibernate, MySQL, DynamoDB
• Kafka, events, microservices
• DataDog, Prometheus, SignalFx

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.

Who We Are

Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.

About The Role

As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.

What You’ll Do

• Design, build, and manage robust data pipelines and data architectures.
• Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
• Optimize data workflows, ensuring reliability, scalability, and performance.
• Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
• Ensure data security and compliance with industry standards and best practices.
• Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
• Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Qualifications

• Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 3 years of professional experience as a Data Engineer or similar role.
• Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
• Hands-on experience with data pipeline tools, cloud services, and storage solutions.
• Strong programming skills in SQL, Python, or related languages.
• Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong understanding of data modeling concepts including medallion architecture, data vault, grain, fact tables, dimensions, and schema design.
• Hands-on experience building and maintaining transformation layers using dbt or similar ELT tools.
• Experience building production-grade data models with optimized performance supporting operational decision-making.
• Experience designing batch and real-time ingestion frameworks with real-time monitoring
• Ability to effectively communicate technical concepts clearly to non-technical stakeholders.

Nice to have

• Certifications related to Azure Data Engineering, Databricks, or Snowflake.
• Familiarity with DevOps practices and CI/CD pipelines.

Perks and Benefits

• Comprehensive Health & Wellness Benefits Package
• Retirement Planning
• Parental Leave Program
• Flexible Working Hours
• Work from Home Flexibility
• Service Recognition Programs
• Socials, Outings & Retreats
• Culture of Learning & Development

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

The estimated compensation for this position is $90,000 to $125,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

About Us

Nubank is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/

About the role

Our Engineering team helps Nubank to create and use the technology that provides us to build the best financial products. We strive for state-of-the-art software development practices that currently include a variety of technologies. While we value candidates that are familiar with them, we are also confident that software engineers who are interested in joining Nubank will be able to learn from our team. The software engineer is focused on software development with Clojure as main programming language (We will teach you Clojure). Main responsibilities:

• Horizontally scalable microservices written mostly in Clojure, using Finagle and leveraging upon functional programming techniques and hexagonal architecture
• High throughput jobs and inter-service communication using Kafka
• Continuous Integration and Deployment into AWS
• Storing data in Datomic and DynamoDB
• Monitoring and observability with Prometheus
• Running as much as possible in Kubernetes

We are a process-light organization that values human interactions. We value working in small, independent teams that feel like small startups within the company, and eschew coupling and centralizing where realistic. We understand that execution is the key to success and optimize processes to remove bottlenecks.

You will be responsible for

• Work with large scale distributed systems, understanding their broad architecture
• Plan and execute on entire features, collaborating with peers while planning the work ahead
• Collaborate in building microservices and work with continuous delivery and infrastructure as code
• Work with agile software development methodologies
• Write, test, instrument, document, and maintain code
• Pair, and participate in code reviews, to grow and contribute to the growth of others in and around the team
• Collaborate closely with Product, Design, and partner Engineering teams to build new experiences
• Participate in on-call rotations for your team and respond to incidents as necessary
• Work focused on backend applications, and be open to contribute to mobile and frontend development, according to business needs

We are looking for a person who has

• At least 6 years of experience developing digital products
• Ability to quickly understand technical and business requirements, translating them into technical design and implementation
• A problem-solver who is able to communicate effectively across functional teams
• A software engineer who cares deeply about user experience
• Proven understanding of object-oriented or functional programming language
• Notions of distributed systems and familiarity with cloud technologies
• Have practical knowledge of agile software development methodologies and previous experience with CI/CD
• Advanced English skills 

Our Benefits

• Health Insurance
• Life Insurance
• Pension Plan
• Extended maternity and paternity leaves 
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• NuCare - Our mental health and wellness assistance program
• Vacations
  
  

Work Model for this Role

Nubank operates in a hybrid model, where teams collaborate remotely and periodically come together for about one week of in-person sessions. For Canadian team members, these sessions typically take place in one of our hubs (Brazil, Mexico, Colombia, or the United States) and are communicated well in advance to allow proper planning, with travel support provided to ensure equitable access to these global collaboration opportunities.

Transparency in the use of AI

Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.

Total compensation includes base salary, RSUs and benefits. Base salary range: $156,000 - $187,200

About Us

Nubank is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/

About the role

Our Engineering team helps Nubank to create and use the technology that provides us to build the best financial products. We strive for state-of-the-art software development practices that currently include a variety of technologies. While we value candidates that are familiar with them, we are also confident that software engineers who are interested in joining Nubank will be able to learn from our team. The software engineer is focused on software development with Clojure as the main programming language (We will teach you Clojure). Main responsibilities:

• Horizontally scalable microservices written mostly in Clojure, using Finagle and leveraging upon functional programming techniques and hexagonal architecture
• High throughput jobs and inter-service communication using Kafka
• Continuous Integration and Deployment into AWS
• Storing data in Datomic and DynamoDB
• Monitoring and observability with Prometheus
• Running as much as possible in Kubernetes

We are a process-light organization that values human interactions. We value working in small, independent teams that feel like small startups within the company, and eschew coupling and centralizing where realistic. We understand that execution is the key to success and optimize processes to remove bottlenecks.

You will be responsible for

• Work with large scale distributed systems, understanding their broad architecture
• Set technical direction for multiple teams, ensuring alignment with Business Areas and architecture strategies
• Drive pragmatic innovation while ensuring resilient and flexible solutions that scale across products and geographies
• Mentor engineers across teams, establishing and maintaining a high technical bar organization-wide
• Write, test, instrument, document, and maintain code. Able to pair and participate in code reviews to contribute to the growth of others in and around the team
• Collaborate closely with Product, Design, and Engineering leaders to build new experiences
• Ensure comprehensive observability, performance monitoring, and error handling across team services
• Participate in on-call rotations for your team and respond to incidents as necessary
• Work focused on backend applications, and be open to contribute to mobile and frontend development, according to business needs

We are looking for a person who has

• At least 10 years of experience developing digital products in complex environments
• Deep expertise in distributed systems, microservices architecture, and cloud technologies
• Proven track record of designing and delivering large-scale systems that serve thousands (or even millions) of users
• Strong background in object-oriented or functional programming languages, with ability to work across multiple languages
• Demonstrated ability to lead technical initiatives across multiple teams without direct authority
• Experience mentoring senior engineers and raising the technical bar across organizations
• Practical knowledge of agile software development methodologies and previous experience with CI/CD
• Good communication skills to prevent risks and explain trade-offs clearly to both technical and non-technical stakeholders
• Advanced English skills

Our Benefits

• Health Insurance
• Life Insurance
• Pension Plan
• Extended maternity and paternity leaves 
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• NuCare - Our mental health and wellness assistance program
• Vacations

Work Model for this Role

About the team + role

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

The Data Platform organization builds and operates the systems that power how data is stored, moved, and consumed across Robinhood. This organization spans three core pillars: Storage (Postgres, DynamoDB, and caching systems), Streaming (real-time event infrastructure), and Data Lake (ingestion and compute systems built on Delta Lake). Together, these platforms support transactional workloads, real-time data processing, and large-scale analytics that are critical to Robinhood’s products and operations. The team owns the full lifecycle of data—from low-latency order path systems to near real-time and batch analytics—serving millions of users and internal teams across the company.

As a Senior Staff Software Engineer, you will serve as the technical lead across the Data Platform organization, shaping architecture and guiding execution across multiple teams. You’ll work on complex distributed systems challenges such as database sharding and proxy architectures, real-time streaming and CDC systems, and large-scale data ingestion and compute platforms. You’ll define and drive key technical bets, partner with engineering leaders to align platform capabilities with business needs, and lead 0→1 initiatives that introduce new capabilities across storage, streaming, and data systems. This is a rare opportunity to influence multiple critical systems at once while raising the technical bar across an entire organization!

Here are a few talks + blog posts from the team!

• Listen to our director speak to the work we are building!
• Read a blog post or listen to this chat from members of the team!
• Robinhood’s Use of WarpStream for Logging 
• Robinhood’s Kafka Journey from EC2 to Kubernetes
• Robinhood’s Kafka Proxy

This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week.

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

What you’ll do

• Lead architectural direction across storage, streaming, and data lake platforms, connecting systems that handle transactional, real-time, and analytical workloads
• Design and guide implementation of distributed systems, including database sharding, proxy-based query routing, and real-time event processing pipelines
• Improve data freshness and latency by evolving streaming and ingestion systems toward near real-time processing goals
• Partner with engineering leaders and teams across Robinhood to define platform strategy, align roadmaps, and ensure systems meet reliability, scalability, and performance requirements
• Drive 0→1 initiatives that introduce new platform capabilities, including next-generation streaming, CDC, and data processing systems

What you bring

• Extensive experience building and scaling distributed systems, with deep expertise in at least two of the following areas: storage systems, streaming platforms, or data lake / large-scale data processing
• Strong understanding of database systems such as PostgreSQL and/or DynamoDB, including replication, sharding, and performance optimization
• Experience with streaming and event-driven architectures using technologies such as Kafka, Flink, or similar systems
• Familiarity with modern data platforms and compute engines such as Spark, Delta Lake, or equivalent large-scale data processing systems
• Proven ability to lead complex technical initiatives, define long-term architecture, and collaborate across multiple teams

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

About the team + role

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

The Streaming Platform team’s mission is to enable real-time, reliable, and scalable data streaming across Robinhood’s products and infrastructure. We build and maintain foundational platforms that power communication between services and unlock streaming analytics across the company. Our systems are critical to Robinhood’s ability to build innovative financial products and deliver seamless experiences to our customers!

Here is an example of some of the exciting projects the team is working on!

• Robinhood’s Use of WarpStream for Logging 
• Robinhood’s Kafka Journey from EC2 to Kubernetes
• Robinhood’s Kafka Proxy

As a Staff Software Engineer, you’ll design, develop, and operate distributed systems that support core data pipelines and real-time event processing. You’ll collaborate with engineers across product, data, and ML teams to scale our platform, improve reliability, and enhance the developer experience across the company.

This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week.

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

What you’ll do

• Design and operate distributed data streaming platforms that scale to billions of events per day
• Develop secure, performant, and highly reliable systems using technologies like Kafka, Flink, and Debezium
• Collaborate closely with product, infrastructure, data, and ML teams to ensure the platform supports diverse use cases
• Build tools and documentation to deliver a smooth, empowering experience for internal developers
• Mentor and support other engineers to drive architectural decisions and long-term technical strategy

What you bring

• 6+ years of professional experience in software engineering, including building distributed systems at scale
• A background in tools like Kafka, Flink and Debezium
• Proficiency in designing and implementing event-driven architectures and stream processing systems
• A passion for platform engineering and creating great experiences for other developers
• Strong communication and collaboration skills to work across technical teams

What we offer

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

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 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

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match.

We are seeking a Senior Data Developer with a strong background in event streaming to join our growing team. You will help build and maintain the data streaming platform that directly powers the MaintainX product and enables internal analytics, while developing streaming platform capabilities and tooling used by engineering teams daily. You will own the data platform’s CDC-streaming service, including runtime, reliability, capabilities, deployment, governance, and developer tooling.

What you’ll do:

• Build and operate the end-to-end CDC streaming platform (Debezium, Kafka, Flink) that produce near-real-time data products
• Own the streaming infrastructure (Kafka, Flink) using Terraform and Atmos IaC, including multi-region deployments
• Build and maintain CI/CD pipelines for the CDC-streaming platform
• Define and enforce pipeline reliability standards
• Instrument and maintain end-to-end observability for the streaming pipeline
• Build self-service tooling and runbooks for onboarding new CDC sources, including automation scripts, snapshot reconciliation checks, and operational documentation
• Collaborate with engineering teams to expand the CDC footprint, support new streaming data use cases, and evolve the streaming architecture

About you:

• 4+ years of experience building and operating production-grade event streaming pipelines in a modern cloud data environment
• Strong familiarity with Kafka: topic design, consumer groups, retention policies, event replayability, schema management, partitioning, and indexing
• Experience with CDC tooling (ex: Debezium, DMS) for real-time database change capture
• Hands-on experience with Apache Flink
• Strong infrastructure-as-code skills with Terraform or Atmos; comfortable managing cloud infrastructure across multiple AWS accounts and regions
• Proficiency in Python or Java for Flink application development and streaming tooling
• Experience building and evolving CI/CD pipelines
• Strong reliability engineering instincts: alerting design, runbook authorship, load testing, and failure recovery planning for distributed systems
• Experience working collaboratively in a fast-paced, cross-functional environment

Nice-to-have:

• Familiarity with schema management in a CDC context
• Familiarity with OpenSearch
• Knowledge of compliance and regulatory frameworks (ex: FedRAMP, SOC2, GDPR)

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist
• We believe in meritocracy, where ideas and effort are publicly celebrated

About us:

Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job Summary

The Principal Software Engineer - Cloud Native and SASE focused will lead the design and implementation of a cloud-native, multi-tenant SASE solution and its interaction with a globally distributed customer network. This is a hands-on architecture role responsible for defining how customer traffic is managed across regions and gateways, while shaping scalable, resilient, and cost-efficient platform capabilities. The role is critical to delivering production-grade distributed systems that improve performance, availability, multi-tenancy, and operational efficiency.

Roles & Responsibilities

• Lead the architecture and technical design of SASE control-plane services that manage tenant configuration, policy, routing, lifecycle, and per-tenant usage across regions.
• Define and implement orchestration patterns for configuration, telemetry, and lifecycle management across a distributed gateway fleet.
• Design scalable and highly available cloud-native systems that support dynamic gateway scaling, failover, multi-AZ deployment, and multi-region traffic management.
• Evaluate and design multi-tenancy models, including siloed, pooled, containerized, and hybrid approaches, with clear trade-off analysis across scale, isolation, performance, and cost.
• Partner closely with data-plane teams to define APIs, traffic flows, and policy enforcement mechanisms for tunnels, routing, roaming, private-network connectivity, and gateway interactions.
• Establish deployment methodologies and engineering standards for CI/CD, infrastructure as code, observability, rollouts, and resilience in partnership with DevOps and SRE teams.
• Provide technical leadership by breaking architecture into executable roadmaps, writing and reviewing code, mentoring senior engineers, and influencing technical direction across multiple teams.
• Drive platform efficiency and COGs optimization through architecture decisions, resource utilization improvements, and operational scale strategies.

Required Qualifications

• 10+ years of experience building large-scale distributed systems in SaaS, networking, or security platform environments.
• 3+ years of experience in a Staff, Principal, or Architect-level role with end-to-end ownership of architecture and delivery.
• 5+ years of experience working with SASE, SSE, SD-WAN, secure web gateway, cloud firewall, VPN, or ZTNA technologies, including large-scale gateway or concentrator deployments.
• 3+ years of hands-on experience designing or supporting multi-tenant architectures, including tenant-aware configuration, telemetry, usage controls, and resource isolation models.
• 3+ years of production experience with containers, Kubernetes, cloud-native service design, autoscaling, resilience patterns, and multi-region deployments.

Preferred Qualifications

• 3+ years of experience working with data plane concepts such as IPSec, WireGuard, TLS-based tunnels, routing, policy enforcement, and private-network connectivity.
• 3+ years of experience with CI/CD pipelines, infrastructure-as-code tools such as Terraform or CloudFormation, and observability frameworks for distributed systems.
• 3+ years of experience with private or public cloud platforms such as AWS, OCI, or similar cloud environments.
• Strong hands-on experience with backend engineering languages such as Go, Java, C++, Rust, or similar systems languages.
• Experience with distributed systems technologies including Kafka, Redis, Cassandra, ELK stack, or similar messaging, data, and observability platforms.
• Demonstrated ability to mentor senior engineers, influence architecture across multiple teams, and translate complex technical strategy into executable delivery roadmaps.

Job Summary: 

We are seeking a highly skilled and self-motivated Senior Embedded DevOps Engineer to support our engineering  teams. This role will focus on driving changes and ensuring adherence to company-established standards for data infrastructure and CI/CD pipelines. The ideal candidate will have strong experience working with AWS and/or GCP,  cloud-based data streaming and processing services, containerized application deployments, infrastructure automation, and Site Reliability Engineering (SRE) best practices for performance and cost optimization.

What You'll do:

• Drive initiatives to implement and enforce best practices for data streaming, processing, analytics and monitoring infrastructure.
• Deploy and manage services on Kubernetes-based platforms such as Amazon EKS and Google Kubernetes Engine (GKE).
• Provision and manage cloud infrastructure using Terraform, ensuring best practices in security, scalability, and cost-efficiency.
• Maintain and optimize CI/CD pipelines using Jenkins, ArgoCD, and GitHub Enterprise Actions to support automated deployments and testing.
• Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub, BigQuery, BigTable
• Familiarity with  workflow orchestration services such as Apache Airflow and Google Cloud Composer.
• Develop and maintain automation scripts and tooling using Python to support DevOps processes.
• Monitor system performance, troubleshoot issues, and implement proactive solutions to enhance reliability and efficiency.
• Implement SRE practices to improve service reliability, scalability, and cost-effectiveness.
• Analyze and optimize cloud costs, identifying areas for improvement and implementing cost-saving strategies.
• Ensure compliance with security policies and best practices in cloud environments.
• Drive adoption of company standards and influence data teams to align with best DevOps and SRE practices.
• Collaborate with cross-functional teams to improve development workflows and infrastructure.

What you bring:

• 7+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.
• Strong experience with AWS and GCP data services, including Kinesis, Glue, Pub/Sub, and Dataflow.
• Proficiency in deploying and managing workloads on Kubernetes (EKS/GKE) in production environments.
• Hands-on experience with Infrastructure-as-Code (IaC) using Terraform.
• Expertise in CI/CD pipeline management using Jenkins, ArgoCD, and GitHub Enterprise Actions.
• Programming skills in Python for automation and scripting.
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or CloudWatch).
• Strong understanding of SRE principles, including performance monitoring, incident response, and reliability engineering.
• Experience with cost optimization strategies for cloud infrastructure.
• Self-motivated and driven, with a strong ability to influence and drive changes across multiple teams.
• Ability to work collaboratively in an agile environment and support multiple teams. 

Preffered Qualifications:

• Experience with data lake architectures and big data processing frameworks (e.g., Apache Spark, Flink, Snowflake, BigQuery).
• Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ).
• Experience with workflow orchestration tools such as Apache Airflow and Google Cloud Composer.
• Knowledge of service mesh technologies like Istio.
• Experience with GitOps workflows and Kubernetes-native tooling.

#LI-SK1

#LI-Hybrid

About the Role

We are looking for a highly skilled Senior Data Engineer to become part of our core Data & AI Engineering team. In this pivotal role, you will be responsible for designing and expanding enterprise-level data infrastructure that enables ZoomInfo's internal teams to interact with data comprehensively—extracting, exploring, analyzing, and generating insights—through various platforms using ZI's internal chat agent

The ideal candidate has a strong background in big data processing, pipeline orchestration, and data modeling, with a proven track record of delivering scalable and high-quality data solutions in fast-paced, data-centric product environments. Given the dynamic nature of emerging technologies, this role requires an individual who excels at exploration and embraces continuous learning as core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems

What you’ll do:

• Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python.
• Architect and optimize the massive-scale data warehouse and lakehouse that serves as our single source of truth for all customer data, primarily using Snowflake.
• Lead the integration of diverse structured and unstructured data sources (e.g., web data, third-party APIs) into our data ecosystem, ensuring high-quality and reliable ingestion.
• Implement and enforce Model Context Protocol (MCP) or similar architectures to feed accurate and contextual data into our LLM-powered products for applications like Retrieval Augmented Generation (RAG) and advanced search.
• Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions that directly enhance customer value.
• Define, monitor, and enforce data quality SLAs across all pipelines and products, ensuring data accuracy and lineage are a top priority.
• Mentor and coach junior engineers, promoting best practices in code quality, data architecture, and operational excellence.
• Participate in architectural decisions and long-term strategy planning for our enterprise-wide data infrastructure, with a focus on cost, performance, and reliability.

What you bring:

• Expert-level SQL for building performant, scalable queries and transformations on massive datasets.
• Strong Python programming skills with a focus on distributed computing, data manipulation, and building robust APIs.
• Production-level experience for large-scale batch and streaming data processing.
• Hands-on experience with DBT (Data Build Tool) for advanced data modeling and transformations in a modern data stack.
• Deep knowledge of Snowflake data warehouse design, optimization, and cost modeling.
• Experience implementing Model Context Protocol (MCP) or similar architectures to feed structured and unstructured data into LLM-powered systems.
• Strong understanding of data architecture concepts, including data lakes, event-driven architectures (e.g., Kafka), ETL/ELT, and data mesh.
• Proficiency with cloud platforms (GCP and/or AWS) and infrastructure as code (e.g., Terraform).

Nice to Have

• Familiarity with LLMOps, LangChain, or RAG (Retrieval Augmented Generation) pipelines.
• Experience with building embedding models or pipelines for Named Entity Recognition (NER).
• Knowledge of data cataloging tools (e.g., OpenLIneage, etc.) and lineage tracking.
• Familiarity with other distributed systems and databases (e.g., DynamoDB, Flink).

Required Non-Technical Skills

• Excellent communication skills – ability to explain complex technical concepts to both engineering teams and non-technical stakeholders.
• Strategic & Product-Oriented Thinking – can translate business objectives and customer needs into scalable, high-impact data solutions.
• Leadership & Mentorship – experience guiding and uplifting engineering teams to achieve their full potential.
• Stakeholder Management – able to collaborate effectively across departments (Product, Engineering, Sales, Compliance).
• Agility & Adaptability – thrives in ambiguous, evolving environments and can rapidly prototype and iterate on solutions.
• Strong documentation habits and ability to evangelize best practices across the organization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of progressive experience in data engineering, with a track record of leadership and impact.

Demonstrated experience in implementing or scaling data infrastructure for a data-centric product company.

#LI-AR2

#LI-REMOTE

As a senior technology leader, you will help build our technology platform to enable 10 million change-makers to deliver a billion acts of goodness by 2025. We seek a platform-first Architect to lead enterprise patterns for reliable, governed, AI-driven, and cost-effective solutions at scale across our technology portfolio. You will design how data flows across the company, from ingestion to consumption, while ensuring our AI systems are secure, auditable, and maintainable. This role requires practical systems thinking and the ability to influence senior engineers and leadership toward consistent, enterprise-wide architecture outcomes that align our data and AI strategy with broader business goals.

If you're passionate about leveraging modern technology, data and AI for positive impact and eager to contribute to a mission-driven organization, we want to hear from you.

What you will do:

• Develop and maintain end-to-end tracks with our data and AI focus technology strategy and architectural portfolio
• Mentor engineers and technical leadership by providing clear patterns, ensuring adherence to architectural patterns, and offering hands-on guidance for complex implementations
• Lead architecture decisioning through Architecture Decision Records (ADRs), standards, and design reviews
• Oversee architectural reviews, code reviews, and system performance analysis to ensure quality standards and sustainable delivery momentum
• Foster a culture of collaboration, knowledge sharing, and continuous learning through mentorship, team collaboration, and workshops
• Enable governed data consumption through clear data contracts, curated datasets, and consistent serving patterns including domain marts
• Standardize end-to-end data flow patterns including ingestion, transformation, storage, serving, and retirement with repeatable templates
• Set platform standards for orchestration and reliability including SLAs, retries, idempotency, backfills, runbooks, and operational dashboards
• Establish enterprise data quality practices including critical data elements, quality rules, validation layers, monitoring, and issue triage workflows
• Drive governance-by-design by embedding metadata, lineage, classification, and ownership into platform patterns
• Drive adoption of AI governance architecture for agentic solutions including controls for data privacy and model lifecycle
• Define AIOps standards ensuring AI systems have traceability, quality measurement, incident response readiness, and cost guardrails
• Collaborate with stakeholders and product management to identify, prioritize, and mitigate technical risks and challenges
• Stay informed about industry regulations, security standards, and compliance requirements to ensure solutions meet necessary standards

What you’ll bring:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 7+ years in software development methodologies, architecture, and implementation of large scale enterprise systems
• 4+ years focused on data engineering, data management, or data platform architecture and designing AI solutions including AIOps practices
• Structured problem solving to turn ambiguous requirements into scalable, low-cost solution patterns
• Ability to think strategically while paying close attention to technical details
• Proven experience building or evolving an enterprise data platform including standards and adoption across multiple teams
• Demonstrated ability to design governance-ready AI solutions including evaluation strategies, privacy safeguards, and auditability
• Strong expertise in system architecture, cloud computing, distributed systems, and integration technologies
• High bar for operational readiness, actionable documentation, and treating governance as a built-in platform feature
• Deep experience across modern data platform capabilities including AWS Glue, Step Functions, Airflow, dbt, Spark, and Snowflake
• Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
• Experience with agentic frameworks such as LangChain, LlamaIndex, or LangGraph and AIOps tooling like LangFuse
• Familiarity with Agile development methodologies and the ability to adapt to a fast-paced environment
• Strong understanding of security principles, performance optimization, scalability, and reliability
• Demonstrated influence towards simplicity and repeatability in architecture

Nice to Have:

• Experience operating in regulated environments, (SOC2, ISO 27001, or GDPR).
• Familiarity with federated domain ownership models, where domains ship data products while the platform provides shared standards and tooling.
• Experience designing and scaling platform observability for data pipelines, streaming systems, and AI services.
• Familiarity with medallion architecture patterns
• Experience in modern data platform capabilities, including:
• Streaming: Apache Kafka, AWS MSK, AWS Kinesis, GCP Pub/Sub
• Metadata and governance: DataHub, Atlan or similar

The AI Systems team owns the core recommendations engine that powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a Senior ML Platform Engineer, you will lead the evolution of this system into a modern, scalable distributed architecture - one of the most impactful technical initiatives at Movable Ink. This is an opportunity to do deep distributed systems work on a production system that directly drives revenue for our customers, while shaping the technical direction of a team working at the intersection of systems engineering and machine learning.

Responsibilities:

• Lead the architectural evolution of the core recommendations pipeline to a modern distributed architecture, delivering incremental value while maintaining production stability
• Design, build, and operate scalable, fault-tolerant backend services that power personalization at scale across content selection, send-time optimization, subject line personalization, and frequency capping
• Identify and resolve performance bottlenecks, reliability risks, and scaling limitations across the system
• Collaborate with ML engineers and product stakeholders to translate requirements into rigorous technical designs with a clear path to production
• Own key system components end-to-end - from architecture and implementation to deployment, monitoring, and incident response
• Champion engineering best practices around system design, code quality, testing, observability, and operational excellence
• Mentor engineers and contribute to a culture of technical rigor, ownership, and continuous improvement

Qualifications:

• 5+ years software engineering experience with a focus on distributed systems
• Deep experience building and operating large-scale distributed systems that are fault tolerant, highly available, and highly concurrent
• Exemplary software engineering skills (system design, unit testing, git, code review, CI/CD)
• Strong foundation in Python
• Experience with distributed data processing frameworks (e.g. Apache Spark, Apache Flink, Apache Beam); hands-on Spark experience is a plus
• Practical understanding of distributed systems fundamentals: consensus, partitioning, replication, back-pressure, idempotency, and failure handling
• Experience with a cloud provider e.g. AWS, Azure, GCP (we use Google Cloud Platform)
• Experience with modern distributed and microservice technologies (we use Kubernetes, Kafka, and gRPC)
• Familiar with Software Development Lifecycle practices, such as continuous integration/continuous delivery and automated deployment (we use Docker, Kubernetes, and GitHub Actions)
• Strong technical leadership skills with the ability to collaborate effectively, advocate for sound architectural decisions, and mentor other engineers
• Exceptional problem-solving skills, including the ability to efficiently identify, analyze, and resolve complex issues in production systems
• A willingness and eagerness to continuously learn, adapt to evolving technologies, and strive for personal and professional improvement

The base pay range for this position is $143k-$200k CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

The role

Are you passionate about food? Do you consider yourself an expert and enthusiast in developing and deploying large-scale recommender systems? Then this position might be the perfect fit for you!

You will join a high-impact team of data scientists, focusing exclusively on menu personalization. As a Senior Data Scientist, you will play a pivotal role in designing, implementing, and improving our personalized recommendation algorithms for culinary products across HelloFresh’s global markets. In this role, you can expect to have a large and tangible impact on customer experience and business growth by ensuring customers always see the most relevant and appealing menu options. You will work closely with other personalization Data Scientists, as well as Data, Backend, and Machine Learning Engineers, together delivering statistical solutions and ML models to production.

To succeed in this role you should be curious, able to deal with uncertainty, a fast learner, and someone who relentlessly prioritizes problem statements and tailors the solution accordingly. You should also be comfortable suggesting multiple solutions based on your experience, and prioritizing tasks based on effort and potential impact. As a senior member of the team, you will be expected to work independently when necessary, as well as support other team members occasionally. 

What you’ll do

• Join and become an integral part of a high-impact team covering menu personalization.
• Contribute to designing and implementing the next generation of our recommender models, from experimentation and data collection to operationalization and closely aligning them with non-technical stakeholders.
• Shape and transform the future of customer experience at HelloFresh by proposing new personalization approaches and evolving the statistical and ML models in pace with future company strategies.
• Design and execute A/B tests to measure the impact of new recommendation strategies on key metrics.
• Work with state-of-the-art technologies like AWS (EMR, Glue, S3, etc), Kafka, PySpark, Airflow, Databricks, MLFlow, Claude (AI), as well as our in-house MLOPs tools.
• Collaborate closely within other functions (data engineering, backend engineering, ML engineering, product) to translate business objectives into concrete, data-driven personalization strategies.
• Analyze the performance of our models to understand customer behavior, and come up with improvements.
• Contribute to a collaborative and knowledge-sharing environment.

What you’ll bring

• Proven track record of scientific work in your Bachelor's, Master's, or PhD in computer science, statistics, physics, economics, mathematics, data science or similar.
• Long-term (3+ yrs) work experience as a (senior) data scientist focused on developing and deploying recommender systems or personalized ML models in a production environment.
• In-depth knowledge of various recommendation algorithms, evaluation metrics, and the practical challenges of building and maintaining a modern recommender system.
• Fluency and long-term experience in Python, including high familiarity with its scientific stack such as Numpy, Pandas, Scikit-learn, Matplotlib. (Experience in Databricks and PySpark is a plus).
• Ability to retrieve (using SQL), manipulate, and analyse large, heterogeneous datasets.
• Experience with software development practices and tools (Git, CI/CD, Docker, AWS).
• You love to learn, are a critical thinker and creative problem solver who strives for excellence.
• You are a team player who loves to collaborate and work with stakeholders from different backgrounds in an international environment.
• Exceptional communication and collaboration capabilities.
• Experience working with and leveraging Generative AI tools (e.g., Claude, Copilot) to support model development, experimentation, code generation, and documentation.

Interacting with product managers, UX designers, data and backend engineers, as well as business stakeholders, is very much part of our day-to-day, so communication skills are vital. We are looking for strong problem-solvers who can apply their statistical modeling and machine learning skills to a wide range of business problems in the personalization space while also acting as an ambassador to coach team members and stakeholders.

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

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

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

Flexible Hybrid Approach

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

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

#LI-HYBRID

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

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

#DATA

Who You Are

You are self-driven and like to work with others to remove roadblocks. You are curious, and love to explore and learn new technologies. You have demonstrated the ability to build, deploy and maintain large-scale, complex applications. You care more about solutions and impacting the customer experience than using a particular tool or framework.

Your Success Profile

What You Will Work On

• Independently own larged-scoped projects from initial discovery through launch with a focus on outcomes and customer impact
• Collaborate with a cross functional team to find solutions to customer challenges
• Improve the performance, reliability, and scalability of our existing systems
• Promote engineering excellence through technical leadership, knowledge-sharing and mentorship
• Add capabilities to our high-volume, fault-tolerant processing infrastructure
• Enhance our testing, monitoring and continuous deployment infrastructure
• Keep extremely sensitive data compartmentalized and secure

How You Will Do Your Work

As a Senior Software Engineer, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it's working on something new or thinking about how to do something better.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• Minimum of 5 years of professional hands-on experience
• Mastery of modern server side languages, Golang is a plus but not required
• Proficiency with SQL
• Proficiency with cloud infrastructure management, preferably AWS
• Experience supporting and mentoring other engineers and acting as a “force multiplier”
• Experience working closely with designers and product managers

Technologies Used

• Golang, Ruby on Rails, Javascript, MySQL, Kafka, AWS, Git, Memcache, Redis, ElasticSearch, Docker, Terraform, Kubernetes, CircleCI, DataDog

The base wage range for this position based in our Toronto office is targeted at $167,500.00 to $235,000.00 CAD per year.

#LI-AD1 #LI-Hybrid #LI-JS1

P-225

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in eastern Canada

As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.

The impact you will have:

• You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.
• Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
• You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:
• Big data engineering (Ex: Spark, Hadoop, Kafka)
• Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)
• Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
• Fluent in SQL and database technology.
• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
• [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Travel to customers in your region up to 30% of the time.

This is a hybrid schedule (2x/week) role planned for our downtown Toronto, Canada office.

About OpenTable

With millions of diners and tens of thousands of restaurant partners around the world, OpenTable is an industry leader in online reservations. Our technology helps restaurants focus on what matters most – their guests, their teams, and their business – while giving diners a reliable, delightful way to find the perfect restaurant for any occasion.

Every OpenTable employee has a tangible impact, contributing to a global team that includes our sister brand KAYAK and its portfolio of travel products. We believe hospitality is about taking care of others, and that ethos shapes both our products and how we work together.

The Opportunity

The Diner Core Availability team builds and operates the systems that power availability search for the core diner experience—delivering fast, reliable booking options across our global network.

We serve millions of diners, handle several thousands of searches per second, and operate under strict low-latency and high-reliability requirements. The team owns the end-to-end lifecycle of availability queries: from ingesting upstream changes (inventory, policies, events) through event-driven pipelines, to maintaining highly-optimized in-memory and distributed cache layers, to responding to real-time search requests from web and mobile clients.

We’re looking for a Staff Engineer who applies a deep understanding of the underlying technologies and dependencies to solve problems. They help raise the bar on performance, reliability, and simplicity as we scale availability search at OpenTable.

Technologies you’ll work with include C#/.NET, Redis, in-memory and distributed caches, RESTful APIs, and Kafka-based event-driven architectures (EDA).

What You’ll Do

You’ll be both a hands-on engineer and a technical leader: writing code, writing technical design docs, reviewing design docs, and owning solutions end-to-end from design through rollout, observability, and ongoing iteration.

Code craft and architecture

• Design, implement, and evolve C#/.NET services and APIs that expose availability information to internal and external consumers.
• Own the architecture of availability search services and related caches, ensuring low-latency, high-throughput performance at global scale.
• Define strategies for in-memory and distributed caching (e.g., Redis) that balance freshness, consistency, and cost.
• Lead the evolution of our event-driven architecture (Kafka) for propagating inventory, configuration, and policy changes into availability systems.
• Make pragmatic trade-offs between delivery speed, technical quality, operational risk, and cost
• Use AI tooling thoughtfully (e.g., for design exploration, code generation, test scaffolding, and incident analysis) to increase team velocity while maintaining a high quality bar

Drive execution and outcomes

• Break down large, ambiguous availability initiatives into sequenced technical workstreams
• Provide reliable estimates and hold yourself accountable to delivery commitments, while adjusting plans thoughtfully as new information emerges.
• Proactively identify and unblock cross-team dependencies across other backend and platform teams
• Represent the team in projects you own during sync meetings by providing clear, and actionable updates.

Provide technical leadership

• Set and uphold code, design, and review standards for the team in C#/.NET and our surrounding ecosystem, with a focus on simplicity, testability, readability, and long-term maintainability.
• Represent the Diner Core Availability team in cross-team forums and communities of practice, ensuring our systems align with platform-wide standards while feeding local needs back into those standards.
• Foster a healthy, inclusive engineering culture: encourage thoughtful debate, blameless retros, and data-driven decision-making.

What We’re Looking For

Technical experience

• Strong experience (5+ years) designing, implementing, and operating backend services in C#/.NET
• Proven track record building and scaling high-throughput, low-latency services (e.g., search, recommendation, or other read-heavy systems).
• Deep hands-on experience with Redis and other cache technologies, including key design, eviction strategies, cache invalidation patterns, and multi-layer caching topologies.
• Solid understanding of event-driven architectures and Kafka (or similar systems)
• Strong experience with database systems (SQL/NoSQL), including schema design, indexing strategies, query optimization, and handling high-volume read/write workloads.
• Strong grasp of distributed systems fundamentals: consistency models, failure modes, circuit breaking, timeouts, retry/backoff strategies.
• Experience with observability and performance tuning in production (profiling, capacity planning, latency/throughput trade-offs).
• Comfortable using AI-assisted development tools (for example, to accelerate implementation, test coverage, code reviews, or incident analysis) in a safe and responsible way.

Staff-level impact and leadership

• History of acting as a technical leader on a product or platform team: setting direction, influencing roadmaps, and being accountable for significant system outcomes.
• Demonstrated bias for action: proactively unblocking teams, building prototypes, driving decisions to closure, and moving complex initiatives forward without waiting for perfect information.
• Demonstrated ability to decompose large, ambiguous initiatives into clear technical plans that multiple engineers can execute.
• Comfortable working with cross-functional stakeholders (Product, Design, Data, other Engineering teams) to balance technical constraints, user experience, and business impact.
• A bias toward data-informed decisions: using metrics and experiments to validate whether changes are improving outcomes.

Nice to have

• Experience with search or ranking systems
• Background in reservation or marketplace platforms where availability and matching are core problems.
• Familiarity with Kubernetes-based deployments, service meshes, and modern CI/CD pipelines.

Benefits and Perks

• Work from (almost) anywhere for up to 20 days per year
• Focus on mental health and well-being:
• Company-paid therapy sessions through SpringHealth
• Company-paid subscription to HeadSpace
• Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
• Paid parental leave
• Generous paid vacation + time off for your birthday
• Paid volunteer time
• Focus on your career growth:
• Development Dollars
• Leadership development
• Access to thousands of on-demand e-learnings
• Travel Discounts
• Employee Resource Groups
• 20 days of paid time off upon start
• Private health and dental insurance
• Life and Disability insurance

We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant.

Inclusion

We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve—and fostering a culture where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.

The Senior Data Engineer, Event Data will join a newly formed team responsible for building the systems that ingest, process, and serve the massive volume of client and internal event data that powers Movable Ink's platform. This is a ground-floor opportunity to shape the architecture of a critical data domain, working with modern streaming technologies, analytical databases, and Elixir and Python to solve problems at billions-event scale. You will help define how event data flows through the platform, making it faster, more reliable, and highly available for teams and clients across the organization.

Responsibilities:

• Design, build, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources into the data platform
• Develop and operate analytical databases and data models optimized for high-volume event data queries and low-latency access
• Write production Elixir and Python services for event processing, transformation, and routing
• Integrate legacy event pipelines with modern streaming infrastructure, designing migration paths that minimize risk and disruption to downstream consumers
• Build and maintain monitoring, alerting, and observability tooling for event data systems, ensuring pipeline health, data freshness, and SLA compliance
• Define and enforce event schemas, data contracts, and quality standards in partnership with producing and consuming teams
• Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable event data products
• Participate in system design reviews and help establish best practices for the Events Data team

Qualifications:

• 6+ years of professional experience in data engineering or backend/systems engineering, with significant focus on event-driven and streaming data systems
• Strong proficiency in Elixir and/or Python as a primary programming language for building application connectors, data services and pipeline components
• Advanced SQL skills for data modeling, query optimization, and analytical workloads
• Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at production scale
• Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is a strong plus
• Demonstrated ability to integrate and migrate systems, bridging legacy and modern architectures
• Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems
• Experience designing and operating data systems on AWS; GCP experience is a plus
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
• Experience with retail events data such as clickstream, purchase events, or product interaction data is a plus

Experience with Databricks, Flink and message brokers such as Kafka, Pulsar, or Kinesis is a plus

The base pay range for this position is $145k CAD - $185k CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

As one of our Lead Site Reliability Engineers, you will combine hands-on technical expertise with strategic technical leadership across infrastructure and software development. You will own the design and evolution of major systems within our multi-cloud, multi-region, active-active content serving platform that serves upwards of 25 Billion requests daily. Through a combination of architectural vision, cross-team collaboration and mentorship, you will help drive the reliability initiatives and define the technical strategy that scales our platform to 50 Billion requests per day and beyond.

Responsibilities:

• Define and drive the automation strategy for infrastructure tooling, establishing standards that minimize manual work, increase performance and reduce incident frequency and severity of incidents
• Own the design, reliability and evolution of core platform applications, mentoring team members on best practices and ensuring systems meet long-term business objectives
• Architect and lead the logging platform strategy, driving its design and balancing availability, retention and cost optimization
• Establish capacity planning and performance management frameworks, proactively identifying scaling opportunities and guiding teams through complex troubleshooting scenarios
• Lead cross-functional reliability initiatives with SRE and service engineering teams, influencing architectural decisions and championing practices that ensure resilient service delivery
• Demonstrate a  high level of  autonomy in anticipating, identifying, and addressing systemic weaknesses and opportunities for platform improvement without direct supervision.

Qualifications:

• Proven track record in Site Reliability or Software Engineering, designing, building, and owning scalable, resilient services with a focus on long-term reliability strategy
• Deep expertise in architecting and operating complex distributed systems such as Apache Pulsar, Apache Kafka, Grafana Loki, ScyllaDB/Cassandra, with the ability to guide teams through distributed system challenges
• Designing and owning automation strategies to manage services at scale, with expertise in establishing performance analysis frameworks and mentoring others on diagnostics and resolution
• Deep, hands-on experience (6+ years) in Site Reliability or Software Engineering, specifically leading and shaping multi-cloud architecture and strategy (AWS and GCP).
• Experience architecting and leading large-scale observability platforms, including defining observability standards and SLO frameworks. We use Prometheus and Thanos with Grafana Alloy, Loki and Tempo
• Experience leading on-call excellence, including driving improvements to monitoring and alerting strategies, automating runbooks and mentoring team members on incident response best practices. Every member of the SRE team does a week long on-call rotation
• Expert-level proficiency with infrastructure as code, including defining IaC standards and patterns across teams. We use Terraform and Chef
• Advanced Kubernetes expertise, including cluster architecture design, multi-tenancy strategies, and guiding teams on container orchestration best practices. We use EKS and GKE
• Proficiency in multiple programming languages with the ability to design and review code that meets reliability standards. We use NodeJS, Golang, Ruby, Python and shell scripting
• Advanced Linux systems expertise, with the ability to diagnose complex system-level issues and mentor others on performance tuning and troubleshooting

The base pay range for this position is $154,000-$200,000 CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

As a Senior Engineer on the Data Platform team at Movable Ink, you will help design and build the systems that power how data flows through the organization. You will play a key role in developing and operating the unified data platform responsible for ingesting, processing, and exposing large volumes of data that drive Movable Ink’s products. Working closely with teammates across engineering, analytics, and infrastructure, you will build scalable ingestion pipelines and backend services that integrate data from a variety of sources while ensuring reliability, governance, and high availability across the platform. You will help evolve legacy pipelines toward modern data architectures, and help drive the unification of our products and services in how they access data. Your work will directly impact the growth and maturity of Movable Ink’s products and services.

Responsibilities:

• Support the design and delivery of data ingestion pipeline and infrastructure
• Assist in the successful migration of legacy data lifecycle management to new platform without disrupting existing data consumers
• Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
• Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
• Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services
• Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards
• Design and implement a semantic metadata layer that classifies and labels data assets across both products, enabling consistent data discovery, exposure policies, and identification of cross-product data reuse opportunities
• Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements

Qualifications:

• Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
• Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
• Strong familiarity with SQL with the ability to write and optimize queries
• Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
• Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
• Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
• Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
• Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries
• (Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services
• (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
• (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
• Experience designing and operating data systems on AWS; GCP experience is a plus
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar

The base pay range for this position is $145,000-$185,000/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

You’ll be joining an Analytics team responsible for all measurement, attribution, and the creation of an intuitive reporting UI for our digital marketing platform. This is a unique opportunity to shape how marketers view and interact with data - transforming raw metrics into insights that drive impactful campaigns and real business value. Join us to make your mark on a fast-growing team, take ownership of innovative projects, and work closely with cross-functional partners to build a product that marketing teams rely on daily.

Responsibilities:

• Design, build, and maintain scalable backend systems that power our measurement, attribution, and reporting capabilities
• Develop robust data pipelines and services to transform raw event streams and metrics into actionable insights
• Collaborate closely with stakeholders to define and shape a seamless, intuitive reporting UI that empowers users to understand and act on provided insights
• Own key backend components—from service architecture to deployment and monitoring—ensuring reliability, scalability, and performance at scale
• Champion engineering best practices around code quality, testing, observability, and system health
• Mentor junior engineers and contribute to a culture of technical excellence, ownership, and continuous improvement

Qualifications:

• 5+ years software engineering experience
• Experience building and maintaining large distributed systems at scale that are fault tolerant and highly concurrent
• Exemplary software engineering skills (design, unit testing, git, code review, CI/CD)
• Strong foundation in modern backend development (e.g. python, ruby, etc. - we use Python and Elixir)
• Experience with functional programming principles (we use Elixir)
• An understanding of common web based API architectures (RESTful, GraphQL) and technologies (gRPC)
• Experience with a cloud provider e.g. AWS, Azure, GCP (we use Google Cloud Platform)
• Experience with modern distributed and microservice technologies (we use Kubernetes, Kafka, RabbitMQ)
• Experience with both OLTP and OLAP systems, including designing schemas and optimizing queries
• Familiar with Software Development Lifecycle practices, such as continuous integration/continuous delivery and automated deployment (we use tools such as Docker, Kubernetes, Github Actions, etc.)
• Strong technical leadership skills with the ability to collaborate with others, communicate effectively, advocate appropriately and mentor more junior engineers to improve team efficiency 
• Exceptional problem-solving skills, including the ability to efficiently identify, analyze, and resolve complex issues, and communicate to others on the team how to contribute to the solutions for these issues.
• A willingness and eagerness to continuously learn, adapt to evolving technologies, and strive for personal and professional improvement

The base pay range for this position is $140,000-$180,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.