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

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Your role
As an analytics engineer, you’ll be an integral part of our data analysis and QA team, providing essential data support for our cutting-edge Agentic AI initiatives, specifically with ASR and NLP teams. A key focus will be on leveraging data analysis to identify and drive optimization of the conversational flows and underlying data infrastructure for agentic voice and chat solutions. You will actively seek opportunities to improve the team’s productivity and workflow through automation and process optimization, including implementing automated QA for our agentic systems.

This position reports to the manager of the Data Analysis and QA team and has the opportunity to be based in our Vancouver, Canada Office.

What you’ll do 

• You will work closely with other Agentic AI teams to test and evaluate our Agentic voice and chat solutions.
• You will design and implement data logging and monitoring strategies to capture key analytical insights.
• You will utilize data analysis to identify areas for optimization in the voice bot's conversational flows and data pipeline.
• You will build and maintain data pipelines on Vertex AI pipelines. 
• You will work closely with the AI Platform team to build tooling for data science projects. 
• You will implement automation and processes to improve our workflow. 
• You will create and maintain dashboards (Tableau) and data pipelines (Dataform) that help drive product and business decisions.
• You will contribute to our continuous efforts to enforce data privacy and compliance. 
• You will collaborate with cross-functional teams, including AI, engineering, and product teams.

Skills you’ll bring 

• Bachelor's or Master’s degree in Computer Science, Software Engineering, or related fields.
• 1 - 3 years of working experience with software engineering or data engineering projects. 
• 1 - 3 years of experience with Python, working with GCP, including storage, BigQuery, Compute, Kubernetes, or similar.
• 1 - 3 years of experience with SQL, able to optimize complex SQL queries and build data pipelines. 
• Experience with BI tools such as Tableau. 
• Experience analyzing the performance of conversational AI systems (e.g., voice bots, chatbots) and collaborating with cross-functional teams (AI, Product) on data-driven improvements.
• Experience working with popular LLM frameworks.
• Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems.

About Us

We are looking for a motivated Escalation Engineer to join our team. You have a passion for understanding and supporting your users, and are excited to deepen your software development and investigation skills. You thrive in fast-paced environments where no two days are the same -- triaging complex issues, diving into logs and code, and working side-by-side with engineering to keep our platform reliable. You are passionate about building products and systems that make a meaningful impact on the lives of thousands of people and their health.

We are looking for a motivated Escalation Engineer to join our team. You have a passion for understanding and supporting your users, and are excited to deepen your software development and investigation skills. You thrive in fast-paced environments where no two days are the same -- triaging complex issues, diving into logs and code, and working side-by-side with engineering to keep our platform reliable. You are passionate about building products and systems that make a meaningful impact on the lives of thousands of people and their health.

Preferred Schedule: Candidates located in or able to work Eastern Standard Time (EST) hours are preferred.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! 

What You’ll Do

• Respond to submitted requests through our ticketing system and via direct message, providing technical support for our clinical applications
• Coordinate with other teams on Slack to troubleshoot issues, triaging by severity and driving toward resolution within SLA targets
• Respond to incidents -- gathering information, troubleshooting, and helping guide them to resolution alongside engineering teams
• Update status pages during escalations and write postmortems summarizing root cause, impact, and follow-up actions
• Create knowledge base articles, runbooks, and canned responses with clear, repeatable steps in Confluence
• Perform deep troubleshooting using past experience, internal tools, and observability platforms such as Datadog and Sentry -- investigating down to the code level where needed
• Translate complex technical findings into clear updates for non-technical stakeholders including clinical and operational teams
• Identify trends in recurring incidents and surface patterns to engineering and product teams to drive systemic improvements
• Build tools and scripts to support our teams, improving development and operational efficiency
• Operate within our Quality System, creating and updating records that support our regulated Medical Devices
• Exercise strong judgment on privacy-sensitive cases including entangled patient profiles, merge requests, and data integrity issues

What You’ll Bring

• 3–5 years of experience in technical support, escalation engineering, or a related role involving hands-on troubleshooting of production systems
• Demonstrated software development experience (e.g., Python, TypeScript, NodeJS, React)
• A proactive mindset that persistently hunts down root causes and implements durable solutions rather than applying one-off fixes
• Hands-on experience with observability tools (Datadog, Sentry, New Relic, or similar) and ticket management in Jira
• Experience with incident management processes, including acting as incident commander or on-call responder
• Experience debugging web applications using browser developer tools and tracing issues across the full stack
• Ability to troubleshoot APIs, reproduce issues, and write clear defect reports for engineering teams
• Calm under pressure with strong prioritization skills -- comfortable managing competing urgent requests simultaneously
• Outstanding communication skills with the ability to work collaboratively in remote/async environments and translate technical issues for non-technical audiences
• An excitement to learn new skills and technologies on the job
• Bachelor's Degree in Computer Science or a related field, equivalent experience, or evidence of exceptional ability

Nice To Have

• Experience in safety-critical environments, medical technology, or HIPAA/privacy-sensitive environments
• Familiarity with MRI imaging workflows, DICOM, or clinical application support
• Background in SRE practices: monitoring, alerting, runbook automation
• Familiarity with Auth0 or AWS infrastructure
• Experience with SQL and database troubleshooting

Our Values 

First: we are Pioneers

• Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.

Second: we are Platform-Builders

• We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.

Above all: we are Patients

• We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.

What We Offer

• An avenue to make a positive impact on people's lives and their health
• We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member 
• Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
• Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize 
• Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
• We now offer the Prenuvo’s Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we’ve got you covered—making your commute easier and more affordable! 
• Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions.
• We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
• The base salary for this role ranges from $90,000-$110,000 in local currency, depending upon experience and geographic location

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.

Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.

About Us

We are looking for a motivated Escalation Engineer to join our team. You have a passion for understanding and supporting your users, and are excited to deepen your software development and investigation skills. You thrive in fast-paced environments where no two days are the same -- triaging complex issues, diving into logs and code, and working side-by-side with engineering to keep our platform reliable. You are passionate about building products and systems that make a meaningful impact on the lives of thousands of people and their health.

We are looking for a motivated Escalation Engineer to join our team. You have a passion for understanding and supporting your users, and are excited to deepen your software development and investigation skills. You thrive in fast-paced environments where no two days are the same -- triaging complex issues, diving into logs and code, and working side-by-side with engineering to keep our platform reliable. You are passionate about building products and systems that make a meaningful impact on the lives of thousands of people and their health.

Working Hours: This role operates on a 5:00 AM – 2:00 PM PT schedule.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! 

What You’ll Do

• Respond to submitted requests through our ticketing system and via direct message, providing technical support for our clinical applications
• Coordinate with other teams on Slack to troubleshoot issues, triaging by severity and driving toward resolution within SLA targets
• Respond to incidents -- gathering information, troubleshooting, and helping guide them to resolution alongside engineering teams
• Update status pages during escalations and write postmortems summarizing root cause, impact, and follow-up actions
• Create knowledge base articles, runbooks, and canned responses with clear, repeatable steps in Confluence
• Perform deep troubleshooting using past experience, internal tools, and observability platforms such as Datadog and Sentry -- investigating down to the code level where needed
• Translate complex technical findings into clear updates for non-technical stakeholders including clinical and operational teams
• Identify trends in recurring incidents and surface patterns to engineering and product teams to drive systemic improvements
• Build tools and scripts to support our teams, improving development and operational efficiency
• Operate within our Quality System, creating and updating records that support our regulated Medical Devices
• Exercise strong judgment on privacy-sensitive cases including entangled patient profiles, merge requests, and data integrity issues

What You’ll Bring

• 3–5 years of experience in technical support, escalation engineering, or a related role involving hands-on troubleshooting of production systems
• Demonstrated software development experience (e.g., Python, TypeScript, NodeJS, React)
• A proactive mindset that persistently hunts down root causes and implements durable solutions rather than applying one-off fixes
• Hands-on experience with observability tools (Datadog, Sentry, New Relic, or similar) and ticket management in Jira
• Experience with incident management processes, including acting as incident commander or on-call responder
• Experience debugging web applications using browser developer tools and tracing issues across the full stack
• Ability to troubleshoot APIs, reproduce issues, and write clear defect reports for engineering teams
• Calm under pressure with strong prioritization skills -- comfortable managing competing urgent requests simultaneously
• Outstanding communication skills with the ability to work collaboratively in remote/async environments and translate technical issues for non-technical audiences
• An excitement to learn new skills and technologies on the job
• Bachelor's Degree in Computer Science or a related field, equivalent experience, or evidence of exceptional ability

Nice To Have

• Experience in safety-critical environments, medical technology, or HIPAA/privacy-sensitive environments
• Familiarity with MRI imaging workflows, DICOM, or clinical application support
• Background in SRE practices: monitoring, alerting, runbook automation
• Familiarity with Auth0 or AWS infrastructure
• Experience with SQL and database troubleshooting

Our Values 

First: we are Pioneers

• Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.

Second: we are Platform-Builders

• We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.

Above all: we are Patients

• We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.

What We Offer

• An avenue to make a positive impact on people's lives and their health
• We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member 
• Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
• Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize 
• Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
• We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
• Prenuvo offers eligible Canadian employees access to both RRSP and TFSA retirement savings plans, with immediate, optional enrollment and the flexibility to invest and save for the future on your own terms. While Prenuvo provides access to these plans, the company does not currently offer matching contributions.
• The base salary for this role ranges from $100,000-$120,000 in local currency, depending upon experience and geographic location

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.

Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.

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

Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal candidate will have an advanced knowledge of building Data Pipelines, batch processing frameworks, and Data Modeling techniques to facilitate seamless Data Ingestion and Exports. In this role you will collaborate with various technology and business stakeholders to deliver data solutions that meet user needs. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.

Location: Hybrid - at least 3 days/wk in Vancouver, BC

Responsibilities:

• Design and implement robust, scalable, and high-performance data pipelines
• Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
• Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs.
• Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
• Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
• Experience supporting production jobs and mitigate issues in a timely manner.
• Write unit, integration, and functional tests for new features.
• Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices.
• Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.

 Qualifications:

• 5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions.
• 3+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP.
• Strong experience with Python, with ability to discuss design patterns; strong SQL skills.
• Expert in Microsoft SQL Server (preferred) or other relational databases.
• Expertise with SQL, stored procedures, triggers, and performance tuning.
• Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks.
• Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources.
• Prior experience in building data pipelines that are scalable, reliable and fault tolerant while delivering data integrity and code quality.
• Experience in building data lakes to support high speed querying by the end users.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful.
• Experience or knowledge of creating RESTful API’s is a plus.
• Experience building Dashboards and visualizations using Power BI or other tools is a plus.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short- & Long-Term Disability
• Life Insurance
• Flexible PTO
• RRSP with company match

The Payment Platform Team powers Asana’s subscription, billing, and payment infrastructure — the systems responsible for processing all revenue and enabling how we monetize the product. Our mission is to enable engineering teams to safely and rapidly build on billing capabilities, while empowering business teams to launch and iterate on pricing and packaging strategies.

Our work sits at the intersection of every major revenue lever at Asana — from incentives that drive user growth, to the product catalogue that defines how we package and sell, to the core billing systems through which every dollar of revenue flows. This gives the team a unique opportunity to directly influence both product strategy and business outcomes. Engineers on this team have the opportunity to shape architecture, reliability, and long-term scalability of revenue-critical systems.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Design, build, and maintain backend services using Scala and gRPC within a modern microservices architecture to support Asana’s global growth.
• Own features end-to-end, from initial problem definition and design to implementation, launch, and iteration.
  Lead large, cross-team initiatives from ambiguous problem spaces to execution, driving key architectural decisions for revenue-critical systems.
• Collaborate closely with cross-functional stakeholders in Product, Design, Finance, and partner engineering teams to deliver high-impact monetization solutions.
• Ensure systems are reliable, scalable, and performant, specifically focusing on evolving cell-based distributed architectures.
• Mentor fellow engineers and contribute to a high-performing technical culture by participating in design and code reviews.

About you

• Strong experience building and scaling backend or full-stack systems, ideally with distributed systems or complex data models.
• Proven ability to take full ownership of technical problems and drive them to resolution across the entire stack.
• Excellent collaboration skills with the ability to influence both engineering and non-engineering partners.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
• Experience with (or a strong interest in) billing, payments, or financial systems and cloud infrastructure like Kubernetes.
  Thrives in an environment where you can evolve cell-based architectures, sharded systems, or multi-tenant distributed systems.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $176,000 - $200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. In addition to base salary, your compensation package may include additional components such as equity and benefits.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

#LI-Hybrid #LI-HC1

We’re looking for a Senior DevOps Developer who can help us support the development organization to deliver value to customers in a reliable, efficient, and safe manner. You’ll be working in a focused team that owns one or more pieces of the production application environment and the developer experience, you will own and deliver in service of quarterly goals on the team.

Based out of British Columbia, you will report into the Senior Manager, Devops.

WHAT YOU’LL DO: 

• Design and build software - tools, libraries, automation, services, and glue scripts
• Responsible for  the reliability, security, and integrity of our large, cloud-based Linux infrastructure
• Participate in a flexible on-call rotation 
• Lead by owning project milestones, epics or features
• Practice continuous improvement, contributing to culture, process, and direction in your team and across our department
• Develop processes and automation to eliminate repetitive tasks
• Design and build our infrastructure platform

• • Identify and implement new platform features
  • Research and evaluate new technologies
  • Refactor, rewrite or retire existing platform features
• Operate our developer experience and production application environments
  • Diagnose and repair our distributed systems
  • Perform maintenance, upgrades, and migrations
  • Control or eliminate repetitive tasks, alert noise, and business-as-usual work
• Enable development teams
  • Provide executable interfaces to our infrastructure platform
  • Provide tools and best practices to support the entire software development lifecycle
• Collaborate with others across the organization to solve problems and build better processes, systems, and software
• Communicate by mentoring, writing documentation, participating in meetings, and sharing your work at demos

WHAT YOU’LL NEED:

• A degree in Computer Science or Engineering, and at least 5 years of experience in an SRE, DevOps or software engineering role and a track record of substantial contributions to software projects with high business impact
• Experience with mentoring, coaching, and pairing with coworkers
• Experience writing clean code that performs well at scale and an understanding of SaaS software development practice; Ideally you have experience working on a SaaS product
• Experience using infrastructure-as-code tools to build and run cloud infrastructure
• Experience with operating, building and maintaining cloud infrastructure and a working knowledge of Linux systems administration, including troubleshooting system-level issues, networking (L3-L7) and basic monitoring is preferred
• Collaboration and Teamwork: works with others to deliver results, meaningfully contributing to the team and prioritizing group needs over individual needs
• Creativity and Innovation: seek 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:

• Solution seeker: You’re focused on tackling new challenges, solving problems, and moving the business forward—and you don’t wait to be asked.
• Lifelong learner: You have a growth mindset – you’re here to learn, experiment, seek, apply, and provide feedback, share what works with your team, and move on from what doesn’t.
• Resilient adapter: In the face of change and challenges, you bring a thoughtful, calm approach, and a focus on finding the new opportunity.
• Intentional collaborator. You build positive working relationships across the business, bringing people together to foster new opportunities and to facilitate the efficient flow of information.
• Critical challenger: You have the trust in your team to ask difficult questions in order to get to the best end result.
• Active communicator: You listen actively and communicate ideas and information clearly, inclusively, and proactively.
• Integrated thinker: You look beyond your role and responsibilities to understand how your team’s work drives broader organizational goals.
• Accountable owner: You take pride in the work you’re responsible for with a mindset of ultimate accountability and reliability for the outcomes.
• Bar-raiser: You step up to help your team grow and succeed, even when that means going beyond what might be expected.

In all we do, our six guiding principles light the way:

Step Up: Show the world what it looks like to live and work by these guiding principles. #StepUp

One Team: Make Hootsuite a place where everyone feels safe, welcome, valued, and empowered to do their best  work without compromising who they are. #OneTeam #FreeToBeMe

Customer Obsessed: Focus relentlessly on helping our customers succeed. #CustomerObsessed

Go Fast, Be Agile: Widen our competitive advantage by committing to speed and simplicity over perfection and complexity. #GoFastBeAgile

Play to Win: Commit to building an incredible, profitable company for our customers, our employees, and our stakeholders. #PlayToWin #NoExcuses

Neighbours & Allies: Give back to our communities and be an ally. #SocialForGood #Allies

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

#LI-NS1 #LI-Remote

We are currently seeking a Senior Airbags Engineer. This position requires an experienced professional in restraint system development. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination.

Candidates will contribute to the growth of a high-performance team, combining their high skills in their respective fields with the company/industry standard to optimize their outcome, maintaining detailed and accessible development history, exposing their Engineering judgements, while acting in a timely manner, possessing the ability to learn quickly and strive for perfection within a fast-paced environment.

Role

o Develop various airbags and their integration in the vehicle across the whole product lifetime: from system specification development, sourcing, packaging, drawing release, design validation, sub-system(1) integration, ramp up, manufacturing support to post SOP maintenance.

o Responsible for achieving product technical excellence as well as economical, timing and quality targets.

o Improve the airbags commodity knowledge-based activities like teaching, feeding the guidelines and lessons-learned system, identify needs for future platforms, etc…

o Work closely with the design studio, ergonomic, BIW and interior engineering teams to develop the optimum restraint system packages for occupant protection performance and interior styling.

o Manage Tier 1 suppliers for both engineering development and program timing. Function as the main point of contact for all restraints design supplier interfaces.

o Manage validation plan and test labs for sub-system integration. Supervise and occasionally perform the validation plan including the preparatory activities (parts

deliveries, supervising test preparation and execution, logistic, parts inventory, etc…) for sub-system integration tests, attend testing, perform test analysis, make report and manage troubleshooting action plan when needed.

o Provide expertise on restraint system design to meet all vehicle targets (performance, cost, timing, weight, Studio design, quality, manufacturing, etc…).

o Support crash tests and vehicle homologation. Make sure parts are supplied with correct pedigrees for all crash test vehicles and other vehicle level validation and homologation needs.

Qualifications:

o Enough experience to demonstrate the capacity to fully meet the role; 3+ years’ experience in airbag engineering and in-depth knowledge about the design, including 1 year experience specifically related to Curtain Airbags, direct experience in automotive OEM and/or Tier 1 suppliers.

o Able to adopt the Lucid approach:

§ Engineering judgment rather than engineering decisions.

§ Maintain development history rather than making spot decisions.

§ Willing to expose your work, rather than working in isolation.

o Knowledge of latest technology advancement in the field of passive safety.

o Enough CAD skills to package the component models into vehicle models, check interfaces with the rest of the vehicle and make or recommend small modifications if necessary. The ideal candidate should possess enough CAD skills to design simple brackets, fixtures, etc.

o Deep understanding of Mechanical Engineering fundamentals: mechanics of materials, materials properties, dynamics, and biomechanics related to occupant safety, failure mechanics.

o Strong analytical and problem-solving skill to apply the engineering knowledge to solving practical problems.

o Experience using APQP processes (DVP&R, 8D, DFMEA, DRBFM).

o Experience using GD&T and tolerance stack analysis (ASME or ISO).

o Strong oral and written communication skills to be able to articulate highly technical issues for general audiences not in the crash safety field, such as top management, design studio, purchasing team, etc.

o Strong ownership mindset to work independently and fulfill the tasks in a timely manner.

o Excellent people skills to manage suppliers, push the envelope to develop optimal technical solutions, ensure timely delivery of all components.

o Have strong ethics and diligence.

Preferred:

o Knowledge of the latest technological advancement in the field of Airbags.

o In-depth knowledge about the design and engineering of airbags.

o 3+ Years’ experience at automotive OEM and 2+ years’ experience at Tier 1 suppliers.

o Knowledgeable about DFMEA or DRBFM process.

o Experience in program management.

o Experience in testing (crash, airbag deployment, seats, IP and/or upper trims).

o Knowledge of automotive crashworthiness legislation and attributes.

o Knowledge of CAE analysis (e.g., LS-Dyna) and restraint system integration and optimization.

o 6 sigma Green or Black Belt.

Education:

o Bachelor’s degree and above in Mechanical Engineering or other related fields

At Lucid, we don’t just welcome diversity – we celebrate it! Lucid Motors is proud to be an equal opportunity employer. We are committed to providing employment opportunities without discrimination based on race, colour, national or ethnic origin, religion, age, sex (including pregnancy), sexual orientation, gender identity or expression, marital or family status, disability, genetic characteristics, or any other characteristic protected under applicable federal or provincial laws. We value diversity and inclusion and encourage applications from women, Indigenous Peoples, persons with disabilities, and members of visible minorities. If you require accommodation during the recruitment process, please let us know.

We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management(IAM) and proven expertise in cloud-native environments, particularly AWS. In this role, you’ll help shape and implement modern identity strategies to secure access across all of Marqeta’s systems and services—100% cloud-based, with no data center footprint.

Join us in building a secure, scalable, and frictionless IAM program where you’ll play a crucial part in:

• Building and evolving our Identity Governance and Administration (IGA) capabilities.
• Implementing & Operating Privileged Access Management (PAM) in a cloud-first (AWS-focused) environment.
• Designing and architecting a Certificate Lifecycle Management solution that supports cloud-native workloads.
• Driving integration of IAM across AWS services, SaaS platforms, and developer/DevOps pipelines.
• Designing identity and access controls to protect AI/ML systems—ensuring secure access to training data, models, and inference APIs.

The Impact You’ll Have

• Develop and lead implementation of robust IAM strategies aligned with cloud-native architecture and security principles.
• Expand and operationalize the IAM program across IGA, PAM, SSO, MFA, access management, secrets management, and certificate lifecycle.
• Automate identity provisioning, de-provisioning, and access reviews using AI tools and infrastructure-as-code.
• Design IAM integrations for AWS-native services (Lambda, EC2, S3, IAM, etc.), SaaS platforms, and third-party identity tools (e.g., Okta, CyberArk).
• Promote and enforce least privilege and zero-trust principles through scalable access controls and policy automation.
• Mentor junior engineers and serve as a technical lead for IAM-related projects.
• Collaborate with Security, DevOps, and Infrastructure teams to embed IAM controls across the engineering lifecycle.
• Stay ahead of emerging trends and continuously refine IAM strategy based on evolving cloud threats and compliance requirements.

Who You Are

• A minimum of 8 years related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or a PhD with 3 years’ experience; or equivalent combination of related education and work experience.
• Strong experience with IAM tools (e.g., Okta, CyberArk, Ping, SailPoint).
• Deep knowledge of IAM in cloud-native environments, especially AWS IAM, roles, policies, permissions boundaries, and federation.
• Proficiency in infrastructure-as-code (e.g., Terraform, CloudFormation).
• Familiarity with authentication and authorization protocols (SAML, OAuth2, OpenID Connect, Kerberos).
• Strong grasp of directory services like Active Directory, LDAP, and cloud-based alternatives.
• Hands-on skills in scripting (e.g., Python, PowerShell) to automate IAM operations.
• Solid understanding of compliance standards: NIST, SOC 2, PCI DSS, etc.
• Proven experience integrating IAM into CI/CD pipelines, secrets management, and DevOps workflows.
• Excellent communication skills and ability to influence and lead cross-functional teams.

Nice to have

• Relevant certifications such as CISSP, CISM, or IAM-specific credentials (e.g., CIAM/CAMS, CyberArk Certified, Okta Certified Consultant).
• Experience with AWS technologies such as Lambda, S3, DynamoDB, RDS, Aurora, SNS, SQS, CloudTrail, CloudWatch, Code Pipeline, AWS Developer Tools, and IAM roles and permissions
• Experience with DevOps tools and practices, including secrets management and CICD pipelines

Manager

• Sandeep Chotwani

Recruiter for this role

• Kayla Osuna

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: 136,800 - 171,000

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 ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

Join some of the best Graphics Engineers in the world supporting the largest immersive 3D streaming environment deployed across console, desktop, mobile, and VR.

• Scalability: Roblox provides a platform that guarantees to the creators that their games will always and automatically run on different devices, with cross-platform play and minimal load times.
• Compatibility: Roblox games and assets made in the past, are still working today. Rendering has to have an eye to the past, and an eye to the future…
• Community: Roblox games are made by creators of all experience levels, from professionals who earn their living on the platform to kids who are learning to program using Roblox!

As a Game Rendering Engineer, you will solve difficult challenges, while continuing to build a high-speed, completely dynamic environments connected on all devices.

Many established rendering techniques do not trivially apply to our platform - novel solutions are needed as we push Roblox towards higher targets of visual fidelity. Even the simpler visuals we support on low-power devices are enabled by some creative rendering ideas, often centered around caching, incremental computation and graceful degradation.

All of this is based on an in-house rendering engine built from the ground up, supporting DirectX 9/11, OpenGL, GNM, Metal, and Vulkan GAPI's. We have a powerful need for top-notch, low-level and high-level graphics work.

You Will:

• Help investigate and implement rendering techniques to make ROBLOX graphics more immersive and expressive
• Learn about our community and work with technical artists to understand the present and future needs of our creators
• Help improve the performance and stability of our game engine
• Work with other engineering and art teams
• Take ownership of a project throughout its full lifecycle

You Have:

• Knowledge of C++ and shading languages
• Knowledge of 3D math and computer graphics related algorithms
• Knowledge of one or more GPU APIs (OpenGL, DirectX and similar)
• The ability to reason about code performance and memory consumption
• 3+ years experience in real-time rendering
• Interest in creating creative rendering techniques
• Passion about the state-of-the-art in rendering research
• Mobile or console development experience

We’re looking for a Senior Software Engineer to join our Consumption Based Billing & Licensing (CBBL) team to build the systems that decide what customers can access, what they’ve purchased, and what they’ve used. The CBBL team owns the infrastructure behind licensing, entitlements, and usage-based billing for Asana’s newest products, ensuring customers receive the right features while providing admins with clear management tools. As part of the wider Frameworks organization, you will build powerful, easy-to-use building blocks that empower other Asana engineers to craft exceptional user experiences through core infrastructure APIs. You will solve hard technical challenges around usage tracking and billing accuracy that directly impact Asana's revenue and scalability.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Design, build, and operate the high-leverage backend systems that power Asana's licensing and consumption-based billing infrastructure.
• Own complex features end-to-end, from initial problem framing and technical design through launch and global iteration.
• Architect and improve critical systems for access control, usage tracking, and automated license assignment to ensure a seamless admin experience.
  Partner closely with Product, Design, Data, Finance, and other engineering teams to turn ambiguous business needs into reliable, shipped solutions.
• Drive technical excellence across the codebase through strategic refactors, robust testing, and instrumentation that improves operational health.
• Magnify your impact by raising the bar for the team through thoughtful code reviews, design docs, and daily mentorship.

About you

• Strong experience building production-grade software with a focus on backend distributed systems, APIs, and complex data modeling.
• Proven ability to take ambiguous architectural problems and translate them into clear, actionable technical plans.
• Experience owning large-scale projects that involve multiple stakeholders and complex technical dependencies.
  Strong debugging and operational instincts, especially when working on revenue-critical or customer-facing systems.
• A collaborative communicator who enjoys working across functions to solve enterprise platform challenges.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
• Interest in monetization, licensing, billing, or enterprise platform systems.

Preferred Qualifications

• Experience with billing, payments, entitlements, or SaaS monetization.
• Familiarity with usage-based or consumption-based pricing models.
• Experience building admin tools or customer-facing operational dashboards.
• Background in platform, backend, or distributed systems work.
• Experience improving reliability, correctness, or migration safety.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $176,000 - $200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
  In-office culinary options to cater to your dietary preferences

#LI-Hybrid

About the Role

As a Staff Detection & Response Engineer at Okta, you will occupy a high-impact leadership role within our Security Operations organization. This is not just a technical role; it is a strategic one. You will influence security decisions across multiple teams, drive innovation in our defense-in-depth strategies, and act as a force multiplier for our global security posture.

You will be responsible for leading complex threat hunts, managing major security incidents, and architecting the detection frameworks that protect Okta’s infrastructure and customers. You will serve as a bridge between executive leadership and technical teams, ensuring our security objectives align with broader business trends and strategic goals.

What You’ll Do

Technical Leadership & Innovation

• Threat Hunting: Lead complex, hypothesis-driven threat hunts based on vague intelligence, and develop refined methodologies for the broader team to follow.
• Detection Engineering: Write novel detections and solve complex querying challenges. You will establish the frameworks and standards for detection engineering across the entire security organization.
• Architectural Influence: Design and validate the effectiveness of preventative control chains and influence the selection and architecture of new security solutions.
• Incident Response: Serve as the technical lead for major incidents, including investigating threats in "foreign" or uncommon environments by leveraging frameworks and your professional network.

Global Mindset: While Okta maintains a 24x7posture, there is a requirement to be available in a crisis out of (your business) hours, and as a thought leader, to interface with colleagues globally. 

Strategic Execution

• Project Ownership: Own multi-quarter objectives and drive them to success, developing project plans that align with Okta’s strategic VMTs (Vision, Metrics, and Targets) and budget.
• Problem Solving: Navigate issues of diverse scope, analyzing data against current business trends to provide innovative solutions.
• Innovation: Secure resources for and drive innovation initiatives across multiple teams, facilitating cross-functional workshops to generate new security solutions.

Team Advocacy & Mentorship

• Culture Building: Foster an inclusive, collaborative environment by sharing wins, rewarding team efforts, and encouraging diverse perspectives.
• Mentorship: Act as an advisor to junior colleagues, providing actionable feedback and helping others align their career goals with organizational objectives.
• Consensus Driving: Drive consensus and resolve issues within cross-functional teams, ensuring all stakeholders are aligned on security priorities.

Who You Are

• Expert Investigator: You have a deep understanding of threat actor TTPs and can navigate complex systems even when documentation is sparse.
• Effective Communicator: You can translate complex technical problems for any audience, from executive leadership to junior analysts.
• Resilient Leader: You have a "bottom-line" orientation, persisting through obstacles and setbacks to achieve results.
• Self-Aware & Empathetic: You proactively seek feedback, know your limits, and lead with empathy and compassion.
• Collaboratively Minded: You prioritize the development of others and establish internal and external networks of coaches and mentors.

Qualifications

• Proven experience in a high-growth SaaS or security-focused environment.
• Expertise in querying languages, detection frameworks (e.g., MITRE ATT&CK), and modern IR toolsets.
• Experience managing communications during crises or major security incidents.
• Demonstrated ability to lead project teams and manage budget/resource requirements.
• Strong background in automating response workflows and refining preventative controls.

Why Okta? Okta is the World’s Identity Company. We are building a world where anyone can safely use any technology. As a Staff Engineer, you will play a pivotal role in ensuring that vision remains a reality.

#LI-HYBRID 

P6513_3323862

Join Okta’s Defensive Cyber Engineering team as a Staff Engineer responsible for safeguarding Okta’s environments. You’ll work closely with the Security, Business Technology Engineering and Product teams to implement and manage security solutions and ensure that core infrastructure applications are protecting our workforce, endpoints, and corporate data. 

A strong desire to make tools and people work together to solve complex security problems is central to this role. This approach mandates an engineering-first approach: maximizing the utility of existing security tools before strategically building or buying new solutions to address any remaining security gaps. 

To execute this vision, you will combine your enterprise security expertise with your hands-on engineering skills, leveraging automation, policy-as-code, and cloud-native technologies to deliver scalable, resilient, and secure solutions. Your work will ultimately set standards for security best practices across the organization and influence the architecture of business-critical systems.

What you bring:

• Hands on experience with enterprise security tools such as Okta, Crowdstrike and Palo Alto suite covering EDR (Endpoint Detection and Response), CASB (Cloud Access Security Broker), DLP (Data Loss Prevention), MDM (Mobile Device Management), SASE (Secure Access Service Edge), and SSPM (SaaS Secure Posture Management) capabilities.
• Strong coding and scripting skills are required for building automation and custom tooling. Python experience is preferred, but proficiency in other languages (e.g., Bash, PowerShell, Go) is a plus.
• Proven track record automating security controls and workflows using a cloud-first approach
• Experience with Terraform and other infrastructure-as-code tools to orchestrate security infrastructure
• Familiarity with CI/CD pipelines for security automation and drift management
• Strong communication skills across technical staff, support teams, executive leadership, and external vendors.

What you’ll be doing

• Serve as a security subject matter expert (SME) for solution engineering, architecture reviews, security assessment, and vulnerability mitigation
• Lead technical efforts evaluating, designing, and implementing new enterprise security systems and feature enhancements
• Build, maintain, and enhance custom automation and cloud infrastructure using Terraform or similar tools to support team workflows and the enforcement of security controls
• Develop integrations with APIs, cloud platforms (AWS, GCP, Azure), and security infrastructure to improve detection, response, and remediation
• Collaborate with cross-functional teams to tackle global technology and security challenges
• Write and maintain scripts and automation to streamline security operations, with an emphasis on Python-based solutions
• Establish monitoring and alerting for security posture, misconfigurations, and threats across endpoints, SaaS, and cloud workloads
• Proactively identify and remediate security gaps; stay updated on emerging threats, solutions, and tooling across the industry

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

• Working with advanced identity management technologies (MFA, SAML, OAuth, OIDC, WebAuthn)
• Deep understanding of Okta's ecosystem, including advanced configuration and integrations
• Experience with continuous compliance solutions (e.g., policy-as-code, automated evidence gathering)
  
  

What you can look forward to as an Full-Time Okta employee!

World-class benefits, flexibility, and growth opportunities

The chance to shape the security posture of a global leader in identity

Opportunities to make a social Impact through technology and innovation

Ready to join Okta and make security the foundation of our innovation? Apply today!

#LI-HYBRID

P24217

Overview of Role

66degrees’ Managed Cloud Optimization (MCO) team works with some of the largest cloud users in the world to help them transform their businesses with technology. Our Site Reliability Engineers (SREs) combine Google Cloud Platform expertise with a passion for devops methodologies to help our clients maintain, optimize, and scale their cloud implementations.

On a daily basis, our SREs work with varied and exciting customers on topics ranging from solving critical outages to designing and deploying new cloud workloads to building self-healing automation. Our SREs work with cutting-edge Google Cloud technologies like Google Kubernetes Engine (GKE), Anthos, BigQuery and data pipelines, as well as leading 3rd party tools like Prometheus, Datadog, and many others. Our SREs also work with languages like Python and Terraform to create automation, deploy infrastructure, and contribute to open-sourcing.

If you’re looking to continually build and apply your Google Cloud expertise to new and varied environments while acting as a key contributor to building the best Google consulting partner in the industry – let’s talk.

Note: Pacific and Mountain Time Zones preferred; This role has a weekend on-call rotation

Responsibilities

• Ensuring near-zero downtime with monitoring and alerting, self-healing automation, and continuous improvement
• Create highly automated, available and scalable systems by applying software and infrastructure principles
• Employ and advise clients on DevOps and SRE principles and practices, covering deployment pipelines, HA, service reliability, technical debt, and operational toil for live services running at scale
• Provide a proactive approach to our clients’ workloads, anticipating failures, automating tasks, ensuring availability, and providing a great customer experience
• Work closely with clients, your team, and Google engineers to investigate and resolve infrastructure issues
• Manage a Jira queue of inbound requests for numerous clients while effectively balancing and prioritizing projects
• Contribute to ad-hoc initiatives such as writing documentation, open-sourcing, and improving operation, making a huge impact at a rapid-growth Google Premier Partner

Qualifications

• Minimum 4+ years of cloud and infrastructure experience, including demonstrated expertise with Linux, Windows, k8s, databases, and networking services
• 2+ years of full-time Google Cloud experience preferred
• Proficiency with Python required. Other programming language experience is a plus
• Strong provisioning and configuration skills using Terraform
• Experience in troubleshooting that spans systems, network, and code
• Microsoft Server and SQL Server experience is a plus but not required
• Experience with 24x7x365 monitoring, incident response, and on-call support preferred
• Experience determining & negotiating Error budgets, SLIs, SLOs, and SLAs with product owners
• Demonstrate the ability to work independently and as a member of a greater team, including cross-team activities
• Experience working in Agile Scrum, Kanban methodologies in SDLC
• Proven experience balancing service reliability, metrics, sustainability, technical debt, and operational toil for live services running at scale
• Strong communication skills, as this is a heavily customer-facing role
• A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.

We’re looking for a backend-oriented engineer to join our Data Infrastructure team in Vancouver to scale the foundation of how Asana measures success. The Data Infrastructure team builds the infrastructure responsible for consuming, exposing, and creating product and product-derived datasets, owning the pipelines that transport and process data from all of Asana’s product surfaces. You will lead the design and execution of high-bandwidth logging systems and experimentation frameworks that empower every product team at Asana to make data-driven decisions. As a senior member of the team, you’ll solve hard technical challenges and magnify the impact of those around you through mentorship and operational excellence. This role is based in our Vancouver office with an office-centric hybrid schedule.

The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Design, develop, and maintain medium to large-scale projects related to logging and experimentation, acting as a subject matter expert for our Vancouver engineering site.
• Scale and optimize our in-house experimentation and feature flagging framework, ensuring reliable, low-latency execution for logic sitting in the critical path of every Asana user session.
• Define and implement the next generation of our logging APIs, establishing the high-fidelity data contracts used across the company to architect solutions for unique observability challenges.
• Curate the observability experience for Asana’s engineers, working at the interface of vendor capabilities and internal workflows to provide out-of-the-box monitoring and debugging.
• Collaborate cross-functionally with Product, Infrastructure, and Data Science teams to align our infrastructure with the evolving needs of Asana’s strategy.
• Facilitate technical clarity across teams by writing high-quality design docs and documentation that scale your impact beyond your immediate projects.

About you

• Software, Data, or Infrastructure Engineering background with experience shipping production-grade code and navigating both application development and data-intensive backends.
• 5+ years of experience designing and shipping production-ready systems, with a focus on building scalable backend services, distributed systems, or cloud-native infrastructure.
• Familiarity with at least one of the following, or a strong interest to learn: distributed data processing, experiment and feature flag rollout systems, and modern observability and logging platforms.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
  Strong focus on competencies such as solving problems across the stack and participating in complex infrastructure rollouts.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $176,000 - $200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
  Career coaching & support
• Inclusive family building benefits
  Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

#LI-Hybrid

Curious about how cutting-edge hardware actually comes to life? We're looking for someone who’s excited to dive into the core of next-gen systems and help make them real. In this role, you’ll validate high-speed interfaces, solve complex system-level puzzles, and collaborate across teams to shape the future of AI/ML computing. If firmware, hardware, and hands-on debugging sound like your kind of fun — let’s chat!

This role is hybrid and based in Vancouver, Canada. 

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

Who You Are

• You love bringing hardware to life and enjoy the thrill of solving tricky problems across the hardware–firmware boundary.
• You’re hands-on in the lab and comfortable with tools like oscilloscopes, protocol analyzers, and JTAG — digging deep doesn’t scare you.
• You’re comfortable jumping into unfamiliar problems and figuring things out — whether it’s in the lab or in firmware.
• You’re curious, collaborative, and excited to work on technology that pushes the boundaries of performance.

What We Need

• Someone to take the lead in validating our next-gen PCIe interfaces — from controller to PHY, and everything in between.
• A strong collaborator who can work across hardware, firmware, and software teams to bring up new features and solve problems.
• A sharp debugger who’s comfortable triaging issues across hardware, firmware, and software layers.
• A detail-oriented thinker who thrives in fast-paced environments and enjoys seeing ideas come to life in real systems.

What You Will Learn

• How to work at the cutting edge of compute — validating next-gen hardware and making it production-ready.
  How different pieces of a system come together — from multi-die chiplets to firmware integration and beyond.
  How to use advanced tools and techniques to debug and tune complex system interactions.
  How to shape emerging technology in a collaborative, fast-moving engineering environment.

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

Tenstorrent is seeking an experienced Field Application Engineer to champion our revolutionary RISC-V CPU and AI accelerator IP products with customers worldwide. You will own end-to-end technical engagements, translating complex architectural advantages into customer wins while shaping our product roadmap through direct market feedback. If you combine deep technical expertise with exceptional customer engagement skills and want to drive the adoption of next-generation compute IP, join our team.

This role is hybrid, based out of the United States or Canada near one of our main office locations.

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

Who You Are

• A customer-focused engineer with proven success in CPU/GPU/NPU IP sales engagements.
• Technical expert who can articulate complex architectural benefits and conduct deep-dive analyses.
• Self-driven professional who independently manages multiple customer relationships from discovery to win.
• Strategic thinker who identifies customer pain points and positions solutions effectively.

What We Need

• 7+ years in the semiconductor industry with a degree in EE or related field including customer-facing roles in CPU IP.
• Hands-on expertise with ASIC design flows, IP integration, and relevant design views (.lib, LEF, ICL, PDL).
• Deep technical knowledge of CPU architectures, semiconductor technologies, and system-level design.
• Exceptional presentation and communication skills with ability to engage all organizational levels.
• Proven track record of technical wins and managing multiple simultaneous accounts.

What You Will Learn

• How to position cutting-edge RISC-V and AI accelerator IP against industry incumbents.
• Advanced customer engagement strategies for complex technical sales in the semiconductor industry.
• Direct influence on product development through customer feedback and market insights.
• The complete IP business cycle from evaluation through design win and production success.

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

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

Tenstorrent is seeking an AI Processor IP Product Engineer to be the technical bridge between our cutting-edge AI processor technology and customer success. You'll guide customers through the integration of our advanced AI processors, RISC-V CPUs, and chiplet solutions into their SoCs, ensuring optimal performance and accelerated time-to-market. If you thrive in customer-facing roles and want to shape the deployment of revolutionary AI hardware across the industry, join our team.

This role is hybrid, based out of Toronto, Canada or Vancouver, Canada.

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

Who You Are

• A customer-focused engineer with deep technical expertise in ASIC design and IP integration.
• Experienced problem-solver who excels at debugging complex system-level issues and silicon bring-up.
• Strong communicator who builds trusted relationships while managing technical engagements across the support lifecycle.
• Passionate about enabling customer success and translating complex technical concepts into actionable guidance.

What We Need

• 3-5 years in the semiconductor industry with a degree in EE or related field.
• Hands-on expertise with ASIC design flows, IP integration, and relevant design views (.lib, LEF, ICL, PDL).
• Strong background in analog/digital design tools, silicon validation, and system-level debug.
• Proven track record in customer-facing engineering roles with excellent communication skills.

What You Will Learn

• How to integrate state-of-the-art AI processors and chiplet architectures into diverse customer SoCs.
• Advanced debugging techniques spanning pre-silicon simulation to post-silicon validation.
• Strategies for influencing product roadmaps through direct customer feedback and technical insights.
• The full spectrum of IP productization—from technical documentation to customer training and support processes.

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

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

This role sits at the intersection of embedded systems, silicon validation, and advanced networking. You'll work with best-in-class IP from leading vendors and in-house designs, bringing up and validating these IPs in silicon, and building robust validation infrastructure that ensures performance, interoperability, and reliability at scale.

This role is hybrid, based out of Toronto, Canada, Vancouver Canada, Santa Clara, California or Austin, Texas.

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

Who You Are

• Passionate about low-level software that brings hardware to life—seeing it run on real systems never gets old.
• Drawn to complex, cross-disciplinary problems at the intersection of hardware and software.
• Excited by high-speed networking challenges like SerDes tuning, link training, and Ethernet MAC/PHY.
• Have pride in hands-on debugging and working across teams to make systems fast, reliable, and ready for the real world.

What We Need

• A passion for breaking and fixing complex hardware-software systems.
• Comfort with designing tests that push things to their limits: functional, performance, integration—you name it.
• Experience in lab work—system bring-up, running experiments, and working with emulation tools.
• A love for writing firmware and scripts to automate testing, dig into issues, and keep things running smoothly.

What You Will Learn

• What it means to shape AI acceleration hardware from the ground up—starting at first principles.
• How to validate complex Ethernet IP from simulation all the way to production silicon.
• The mastery of collaborating with world-class silicon, systems, and software teams to tackle frontier engineering challenges.
• How to define the networking architecture that will power the next era of AI platforms.

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

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

The Product team builds features end-to-end. From designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements—thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details.

You will join our Account Management team in Vancouver, empowering admins to balance flexible collaboration with cost control through our licensing systems. Your work will involve deep dives into our technical architecture to ensure the system's reliability and scalability. Close collaboration with Product Management, Design, and Data Science will help you understand customer pain points, co-create solutions, and enhance product impact through experimentation and big bets. By joining a passionate team dedicated to technical excellence and product quality, you'll contribute to and elevate the team's achievements.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

• Design and build full-stack solutions for admins to manage their billing and licensing, and set up their organizations for success.
• Drive large, impactful projects, delivering features that will be rolled out and used in large organizations.
• Build scalable, reliable systems that power our billing and licensing life-cycles.
• Set and maintain high standards for software engineering and technical excellence.
• Collaborate with world-class product partners to co-create solutions from vision through execution.

About you:

• 4+ years of experience in full time professional software development.
• Track record as a leader and key contributor on large and technically complex projects.
• Expertise in navigating ambiguous and complex technical spaces, creating clarity and alignment.
• Passion for building robust and scalable full-stack systems. 
• Strong technical and cross-functional communication skills.
• A team player who’s invested in supporting your peers and building a better team together.
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $176,000 - $200,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid #LI-AA1

The Product team builds features end-to-end. From designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements—thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details.

We are looking for a Senior Software Engineer to join the Data Management team in our Vancouver Office. The team plays a vital role in understanding the Asana data graph and ensuring the integrity and compliant use of data across the product. You’ll work on essential features touching the entire customer data lifecycle, such as data exports, object archiving, trashing & recovery, and audit logs. All of these are fundamental for Enterprise customers and involve handling and managing large-scale datasets to ensure smooth and secure operations.

Being part of this team will provide you with the opportunity to dive deep into Asana’s data graph, gaining a deep understanding of how data is managed at scale. While compliance is a key focus, our work goes beyond and empowers customers to efficiently manage their data across large, complex environments. You will implement efficient algorithms for handling vast datasets and work closely with cross-functional teams, including core infrastructure, product, and legal, to deliver scalable, secure solutions.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Work in a high-performance, dynamic team with a strong focus on velocity and software quality
• Contribute to building a complex SaaS application that is a market leader in its segment 
• Be exposed to Asana’s core infrastructure, particularly how data is represented, stored and deleted in the storage layer.
• Work with asynchronous jobs and efficiently and implement algorithms that efficiently traverse the Asana Work Graph
• Work with legal to implement data ownership rules, requiring simple and effective technical solutions to make this process easy and clear to customers. 
• Drive large, impactful projects, delivering features that will be rolled out and used in large organizations
• Support other teams and stakeholders that work in the team’s space

About you

• Experience working in ambiguous and complex technical spaces and creating clarity and alignment with partners and stakeholders
• Comfortable and autonomously diving deep into the weeds of complex technical contexts, to make sense of them, and then share their knowledge in a clear way with people in different roles and with different technical backgrounds
• Have a strong understanding of software concepts and design patterns that make solutions scalable and robust.
• Care deeply about the User Experience and comfortable working with frontend frameworks such as React.
• Excited about mentoring and coaching teammates and stakeholders and contributing to leveling the team
• Have experience driving projects of medium to large complexity.
• You have a continuous improvement mindset and are never satisfied with the status quo, whether it's about the architecture, the code or the team's processes
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $176,000 CAD - $200,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid #LI-AA1

We’re looking for people who care deeply about customers and are passionate about building products that improve the way millions of teams work together. As a member of the team developing the software of a product-led company, you won’t just code — you will be an integral part of the entire product development process, from conception to post-launch reflection. Asana is helping teams become significantly more productive with our leading work management platform. You will be manifesting continuous improvements in their experience and helping us achieve our mission to enable all teams to work together effortlessly.

The Product team builds features end-to-end. From designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements—thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Work in a high-performance, dynamic team with a strong focus on velocity and software quality
• Contribute to building a complex SaaS application that is a market leader in its segment 
• Be exposed to Asana’s core infrastructure, particularly how data is represented, stored and deleted in the storage layer.
• Work with asynchronous jobs and efficiently and implement algorithms that efficiently traverse the Asana Work Graph
• Work with legal to implement data ownership rules, requiring simple and effective technical solutions to make this process easy and clear to customers. 
• Drive large, impactful projects, delivering features that will be rolled out and used in large organizations
• Support other teams and stakeholders that work in the team’s space

About you

• 2+ years of experience working within large, well-maintained codebases
• Excellent communication skills for collaborating with cross-functional partners (e.g. PM, design)
• Sound judgment when balancing moving quickly with producing quality code and long-term code maintainability
• Passionate about creating a superlative user experience and attentive to details
• Appreciate productivity and care deeply about helping teams collaborate more effectively and efficiently, including your own
• Excited to be a part of an inclusive culture where everyone brings the aspects of themselves to the workplace that they need to thrive
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $146,000 CAD - $158,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid #LI-AA1

The Product team builds features end-to-end. From designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements—thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details.

We are looking for a Staff Software Engineer to join the Admin Foundations team in our Vancouver Office. The team plays a vital role in developing tools for Administrators to manage their Asana instance at Scale while establishing frameworks/patterns for Asana engineers to easily create admin controls for the features they develop.

Being part of this team will provide you with the opportunity to get a deep understanding of Asana’s administrative controls and permissions. This comes with an exposure to various other surfaces of the product that will enable you to work with different teams. You will also be working across different levels of our technical stack, from frontend tools like React to backend systems like the remote jobs framework. 

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

• Work in a high-performance, dynamic team with a strong focus on velocity and software quality
• Contribute to building a complex SaaS application that is a market leader in its segment 
• Work closely with Product Managers, Designers and Engineers to deliver delightful software and tools for customers to help administer their Asana instance at scale.
• Drive technical strategies that cross over other team surfaces and align with such teams and stakeholders to get buy-in and implement such strategies.
• Make significant individual contributions by developing across the entire stack and leaving things better than you found them – this includes writing Typescript, Javascript and occasionally Scala.
• Drive large, impactful projects, delivering features that will be rolled out and used in large organizations

About you:

• Have 5+ years of software development experience with 2+ years mentoring/coaching other engineers on impactful software projects.
• Experience working in ambiguous and complex technical spaces and creating clarity and alignment with partners and stakeholders.
• Have a track record of designing and implementing solutions to complex business problems. You have skillfully influenced and got buy-in from stakeholders and other teams to adopt/implement these solutions.
• Comfortable and autonomously debugging and fixing tricky issues in various parts of the software stack, particularly on the backend.
• Have a strong breath of knowledge of software concepts and design patterns that you can comfortably apply to make technical solutions scalable and robust.
• Have experience driving projects of medium to large complexity.
• You have a continuous improvement mindset and are never satisfied with the status quo, whether it's about the architecture, the code or the team's processes
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer:

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $211,000 - $240,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

At Asana, we believe AI represents the future of work, and APIs are at the heart of how AI connects with the tools where work happens. Asana’s API team owns the gateways that enable data flow into and out of Asana, whether via the public API used to build new apps and agents or our MCP server that enables LLMs to take action in response to natural language. Asana’s rich developer platform and app ecosystem help ensure we can support every use case out there–no matter how big or small the team, and no matter which tools or workflows they use.

We’re looking for a staff-level Technical Lead to drive execution and technical vision for our developer platform. Our API team has huge, cross-cutting scope: one day you’ll be partnering with Product to define what a great agentic experience looks like and contributing to the direction of industry-wide protocols, the next you’ll be setting best practices for exposing new Asana functionality via the public API and architecting foundational changes to our API’s core feature set and frameworks, all while mentoring the engineers and developer advocates on the team. If you care deeply about building an agentic future for the enterprise and leading high-performing engineering teams, then we’d love to hear from you!

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Set the technical strategy for the API platform within Asana and advocate for engineering-driven investments, with a vision for keeping our systems flexible and maintainable
• Drive the team to continually and holistically better itself, enabling the engineers around you to deliver at a high velocity while helping them grow their skills in the process
• Be a key collaborator with other groups in Engineering and a technical counterpart to the API team’s Engineering Manager, serving as a public face for API engineering and representing our interests across team boundaries
• Partner with Product Management, Design, Data Science, and User Research to deeply understand developer and agentic needs, and then propose elegant solutions to meet them
• Own and shape the guidelines for what good API design looks like, partnering with product engineering teams to help them implement those best practices in a self-serve manner
• Develop across the entire stack to make developers’ experiences better by writing clean, beautiful code and leaving things better than you found them: this includes writing Scala, Javascript, and Typescript

About you

• 6+ years of experience working in large codebases
• 2+ years leading engineering teams
• 1+ years building public-facing API products or Developer Platforms
• Excellent communication, collaboration, and delegation skills
• Quick learner and comfortable transitioning between different contexts and codebases, enabling you to jump in and rapidly unblock teammates facing thorny obstacles
• Deep project management experience including high-level timeline planning, risk mitigation, stakeholder management, and coordinating the work of others
• Passionate about mentoring engineers at all skill levels; able to identify technical growth opportunities and deliver thoughtful, candid feedback
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
• Excited to be a part of an inclusive culture where everyone brings the aspects of themselves to the workplace that they need to thrive, fostering an environment of psychological safety within your team

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $211,000-$240,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

Role Overview

As a Principal Product Applications Engineer at Astera Labs, you will be at the forefront of enabling the world's leading cloud service providers and server/network OEMs to successfully deploy connectivity solutions. This high-impact role sits at the intersection of cutting-edge silicon, firmware, and customer success—where you'll tackle complex technical challenges that push the boundaries of AI infrastructure connectivity.

You will serve as a trusted technical advisor to strategic customers, guiding them through design-in, bring-up, and optimization of Astera Labs products. With a strong firmware orientation, you'll dive deep into embedded systems, debug intricate firmware-hardware interactions, and drive issues to resolution across the full stack. Your insights from the field will directly influence product roadmaps and engineering priorities, making you a critical bridge between customers and our R&D teams.

This is an opportunity to work on industry-defining connectivity products that power next-generation data centers and AI platforms—all within a fast-paced, hypergrowth environment where your contributions have immediate and visible impact.

Key Responsibilities

• Customer Technical Engagement
  • Provide expert technical guidance to tier-1 customers throughout the design-in lifecycle, from early evaluation through production deployment
  • Build trusted relationships with customer engineering teams, serving as the go-to resource for product integration
  • Deliver technical presentations, training sessions, and design reviews to accelerate customer success
• Firmware Debug & Issue Resolution
  • Investigate and reproduce customer-reported issues involving firmware, silicon, hardware design, and system-level interactions
  • Drive root cause analysis and coordinate cross-functional teams to deliver timely resolutions
  • Develop firmware-based tools, scripts, and utilities to streamline debug and validation workflows
• Technical Collateral & Knowledge Sharing
  • Create high-quality application notes, integration guides, and technical documentation for internal and external audiences
  • Provide actionable feedback to product, firmware, and silicon teams to continuously improve products and customer experience
  • Contribute to the development of reference designs and best practices for product deployment
• Lab Validation & Bring-Up
  • Execute hands-on silicon and system bring-up activities, including firmware validation and performance characterization
  • Utilize lab equipment such as protocol analyzers, high-speed oscilloscopes, and traffic generators to diagnose complex issues
  • Support interoperability testing across diverse customer platforms and configurations

Basic Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related field
• 8+ years of experience in product applications, field applications, or systems engineering roles supporting complex semiconductor products
• Strong firmware development and debugging skills, including proficiency in embedded C and Python
• Experience with high-speed interfaces such as PCIe Gen5/6/7 or Ethernet
• Demonstrated ability to triage and resolve multi-layer issues spanning silicon, firmware, and system environments
• Excellent written and verbal communication skills with a track record of producing clear technical documentation

Preferred Qualifications

• Master's degree in Electrical Engineering, Computer Engineering, or related field
• Experience with Ethernet products, retimers, or PCIe connectivity solutions
• Hands-on experience with protocol analyzers, high-speed oscilloscopes, and BERTs
• Background working directly with cloud service providers, server OEMs, or networking equipment manufacturers
• Understanding of data center architectures including servers, AI platforms, JBOGs/JBODs, and network switches
• Familiarity with physical layer concepts and signal integrity fundamentals

The base salary range for this role is CAD 180,000 – CAD 205,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for a performance bonus, equity, and benefits.

Software Engineer, Senior

Shift4 is expanding globally and we are looking for a key software developer to join our innovative Software Engineering team! This opportunity involves designing, developing and deploying Shift4’s Commerce Engine payment solution that delivers a modern and integrated payment processing experience at Retail, Restaurant, and Hotel merchants.

The focal point of the solution consists of well-designed and highly functional business apps deployed on custom payment hardware. We have an ambitious product roadmap for this platform and are looking to expand the team with the best and brightest to ensure we continue to drive the industry with our innovative solutions and change the basis of competition.

This role is onsite and can be based at either of the following Shift4 locations:  Las Vegas, NV, U.S.A. or Vancouver, BC, Canada

Relocation assistance may be available. 

Responsibilities

• Translate high-level requirements to actionable tasks and deliverables.
• Contribute to architecture and design in a multiplatform ecosystem.
•  Design and build distributed software services for transaction processing.
•  Produce high quality software that is unit tested, code reviewed, and continuously integrated.
•  Collaborate with the Quality assurance team in test planning and test coverage.
•  Collaborate with DevOps and CI/CD in operational visibility, triaging incidents, and deployment planning.
• A disciplined approach to development, code review, testing, documentation and code structure in a team environment.
• Actively participate in growing and coaching fellow team members.
• Understand future business goals from Product Owners and make sure architecture and system design can support those goals.
• Build proof-of-concepts to validate architectural and design choices and evangelize those technical choices to other teams.
• Able to understand, diagnose and then solve deep technical and performance issues across the product.
• Provide development support to resolve any issues with technical systems and applications.

Qualifications

• 5+ years of Software Engineering experience in Coding, Designing and Developing software.
• Proficient in C and exposure to Object Oriented languages like C++, Java, Python or Kotlin.
• Adept in gathering and interpreting requirements, translating requirements into system definitions and solutions and creating detailed documentation.
• Ability to write modular, maintainable code with unit tests ensuring complete code coverage and adhering to coding standards.
• Troubleshoot and resolve complex issues in embedded systems to debug and optimize system performance.
• Experience with Code repository management, code merge and quality checks, continuous integration and automated deployment and management using tools like Jenkins, Git.
• Experience working in an agile environment and familiarity with Jira, Confluence etc.
• Excellent communication skills and a quick problem solver.
• Bachelor's degree in Computer Science, Software Engineering or equivalent. Experience in lieu of a degree may be considered. 

Preferred Skills:

• Previous experience in the cards and payments industry is positive but not mandatory.
• Expertise around Point of Sale, Payment SDKs, and POS hardware experience is a big plus.

#LI-BN1

MUST HAVE:

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

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

YOUR ROLE

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

OUTCOMES

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

COMPETENCIES

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

MUST HAVE:

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

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

YOUR ROLE

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

OUTCOMES

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

COMPETENCIES

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

About the role:

The Senior Security Engineer I - Enterprise Security is responsible for building, operating, and maintaining Samsara’s core security infrastructure. You will collaborate with a global team of engineers to help build a world-class security engineering program utilizing modern principles across corporate infrastructure.

You take security seriously and strive to build low-friction solutions developed in close partnership with others. You are passionate about building automated alerting and response capabilities and helping to drive insights around potentially malicious activity within production environments. You enjoy building tools and workflows from scratch, maintaining active programs, and threading security into company processes to meet business needs. You will use your familiarity with a diverse set of technologies and practices to build a leading program in our industry. You enjoy teaching and supporting team members, and helping junior engineers develop their skills and security instincts.

This is a remote position open to candidates residing in Canada. Must be based in Pacific Standard Time.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will:

• Provide influence and leadership over Samsara’s Enterprise Security roadmap and priorities, helping to balance both near-term and long-term business impact with technical considerations.
• Write clear, concise documentation and runbooks for enterprise security workflows.
• Collaborate with partners across Engineering, IT, and Security to ensure proper implementation of security tools and policies.
• Occasionally assist the Security Operations team during security investigations, acting as a technical subject matter expert within your domain.
• Partner with engineering teams to triage and support remediation of vulnerabilities and misconfigurations in systems and applications.
• Mentor engineers in the Security team to grow their domain knowledge, tool-specific skills, and communication abilities.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• 4+ years of relevant experience in an Enterprise Security role with demonstrated impact.
• Deep expertise in enterprise security engineering best practices, with a focus on SASE tools like Zscaler.
• Strong scripting skills with Python, including experience building tools and automations.
• Demonstrated experience building, integrating, and maintaining enterprise security tools.
• Strong familiarity with common security problems and the ability to independently judge their severity and impact on the business.
• Hands-on experience with automation tools (e.g., Tines, AWS Lambda) and common security platforms (e.g., Crowdstrike, Zscaler, Wiz).
• Track record of delivering impactful work across multiple quarters and collaborating effectively across teams.
• Resides in the Pacific or Hawaii time zones.

An ideal candidate also has:

• Experience driving efforts around zero trust, least privilege, just-in-time access management, identity lifecycle management, and data loss prevention.
• A history of building out security programs using modern SaaS platforms such as Crowdstrike, Mimecast Incydr, Splunk, and other tools.
• Experience with infrastructure as code deployments using Terraform

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Opportunity

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

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

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

What You'll Do

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

You will:

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

Must-Have Qualifications

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

Software Engineering Fundamentals

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

Data Engineering

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

Cloud and Infrastructure

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

Background and Mindset

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

Nice to Have

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

Core Technical Stack

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

Ideal Profile

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

Why This Role Matters

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

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

#LI-AR2

#LI-REMOTE

Role Overview 

Astera Labs is seeking System Validation Engineers across multiple levels to lead post‑silicon bring‑up and system validation for high‑performance PCIe and CXL memory expansion products used in AI and cloud data centers. You will design and execute validation plans, automate data‑centric test flows, drive root‑cause investigations across silicon, firmware, hardware, and systems, and work directly with customers to validate real world performance and interoperability. 

This role is based in our Vancouver office, which is a strategic growth hub for Astera Labs' validation team. You'll have the opportunity to be a foundational member of this expanding site while collaborating closely with our core team in San Jose. This is a unique chance to help shape the team's culture, processes, and technical direction as we scale our validation capabilities to meet surging demand for AI infrastructure connectivity. 

What Success Looks Like: 

• New silicon and platforms brought up on schedule with reproducible validation results 
• Automated test suites that reduce manual effort and provide clear pass/fail and performance metrics 
• Rapid, data-backed root-cause resolution of system issues and strong customer satisfaction during integration 

Key Responsibilities 

• Validation Planning & Strategy 
• Create comprehensive validation plans for AI fabric switch products covering functionality, performance, reliability, and interoperability 
• Contribute to compliance testing strategies and adapt consortium test cases for execution from x86 and ARM platforms 
• Produce clear, data-driven validation reports and status updates for internal stakeholders and customers 
• Silicon & System Bring-Up 
• Lead silicon and platform bring-up activities, verify boot and runtime behavior on x86 and ARM systems 
• Ensure timely readiness for customer engagements and product launches 
• Debug complex issues across PCIe, CXL, NVMe, Ethernet, firmware, and hardware layers using protocol analyzers, logic analyzers, and CPU-based tool suites 
• Test Automation & Infrastructure 
• Develop robust, repeatable automation for IC and board testing with emphasis on execution efficiency, data collection, analysis, and automated reporting 
• Design experiments to root-cause unexpected behavior and report results and specification compliance in an automated fashion 
• Customer & Cross-Functional Collaboration 
• Collaborate directly with customers to capture system requirements, reproduce customer scenarios, and demonstrate product capabilities 
• Drive cross-functional root-cause analysis with silicon, firmware, hardware, and system teams and document findings and corrective actions 

Basic Qualifications 

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related field 
• 2-12+ years of experience supporting or developing complex SoC or silicon products for server, storage, or networking domains (level dependent) 
• Working understanding of x86 and ARM architectures and UEFI/Linux boot sequences 
• Solid grasp of high-speed signaling principles 
• Hands-on experience with high-speed protocols such as PCIe, CXL, NVMe, or Ethernet 
• Proven experience in silicon and system bring-up, validation, and debug in lab and customer environments 
• Strong Python automation skills for bench control, test orchestration, data analysis, and reporting 
• Experience with lab equipment including protocol analyzers, logic analyzers, in-circuit debuggers, and CPU-based tool suites 
• Strong prioritization, planning, and independent execution skills with a customer-focused mindset 

Preferred Qualifications 

• Master's degree in Electrical Engineering, Computer Engineering, or related field 
• Working knowledge of C or C++ for embedded firmware and device drivers 
• Familiarity with PCIe compliance standards and experience adapting consortium tests for platform execution 
• Advanced understanding of memory architectures, high-speed signaling, and system boot flows 
• Track record of influencing cross-functional teams and navigating complex matrixed organizations 
• Entrepreneurial, can-do attitude with ability to think and act with the customer in mind 

The base salary range for this role is $125,000 - $290,000 CAD depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. 

At Astera Labs, we design cutting-edge connectivity solutions that power the world’s largest cloud service providers, server, and networking OEMs. As a Platform Engineer, you’ll play a pivotal role in building and supporting the platforms that enable these products to thrive in real-world deployments through. 

You’ll create and maintain tools that make our products seamless to integrate, highly debuggable, and delightful to use for both customers and internal engineering teams. Your work will span software, systems, and silicon – developing automation, diving into labs with state-of-the-art equipment, and collaborating closely with customers to solve the toughest technical challenges. Beyond execution, you’ll influence product direction by driving innovation, providing feedback to design teams, and streamlining validation and deployment processes. 

This is a high-impact, hands-on role at the intersection of hardware and software, where curiosity, creativity, and technical depth come together to define the next generation of data center infrastructure. 

Basic Qualifications 

• Bachelor’s degree or higher in Electrical Engineering, Computer Engineering, or Computer Science. 
• 5+ years of experience in software development with C, C++, C#, and/or Python. 
• Entrepreneurial mindset with a customer-first attitude and a bias toward action. 

Required Experience 

• Building and maintaining complex applications using .NET technologies (e.g., WPF, Avalonia, Blazor, MAUI). 
• Strong background in C and Python programming for tool development, automation, and system interaction. 
• Hands-on silicon/system bring-up and debug experience in customer environments. 
• Proficiency with lab equipment such as traffic generators, analyzers, and high-speed oscilloscopes. 
• Excellent technical writing skills for clear, concise documentation (datasheets, app notes, internal guides). 

Preferred Experience 

• Front-end technologies (React, Angular, Node.js). 
• Cloud development platforms (Azure, AWS). 
• Experience with high-speed I/O products (PCIe, Ethernet Switches). 
• Familiarity with data center architectures: servers, storage (JBOD/JBOG), and networking gear. 

What You’ll Gain 

• Impact: Influence the design and usability of products deployed at hyperscale. 
• Breadth: Work across hardware, firmware, and software layers. 
• Growth: Collaborate with world-class engineers and customers solving real-world challenges at scale. 
• Innovation: Freedom to prototype, improve, and bring new ideas into production. 

The base pay range for this role is between $140,000 and $175,000. Your actual base pay will depend on variables that may include your background, qualifications, and experience. 

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

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

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

Who are we? 

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

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

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

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

What you’ll do:

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

AI and Modern Development Practices

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

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

What You'll Have:  

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

Technology Stack & Tools

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

Why us for your next career adventure?  

💵 Fair compensation

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

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

Our compensation package also includes:

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

💆‍♂️ Flexibility and time off

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

🩺 Health and wellness

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

🤝 A great place to work you can be proud of

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

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

Our values at Rival:

• Courage
• Results
• Energy
• Kinship

The not-so-fine-print 🧐

If you think you’re a good fit, please connect with us ASAP with your resume. You must be eligible to work in Canada to be considered for this role. At Rival, we value the unique qualities and experiences that each candidate brings to the table. We believe in a personal approach to hiring and take the time to thoroughly review each resume ourselves. Rest assured, we do not use AI or automated systems to review or filter resumes. Every application is carefully reviewed by our hiring team to ensure a fair and personalized evaluation process. If you don’t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that individuals in underrepresented groups often only apply when they feel 100% qualified. We are proud to be an equal opportunity workplace committed to building a team culture that celebrates diversity and inclusion. Rival provides equal employment opportunities to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

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

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

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

No recruiters and no phone calls, please!

ENGINEERING - UNREAL ENGINE

What We Do

Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide.

What You'll Do

We are looking for an experienced Developer Relations Engineer to join our team and support EOS Anti-Cheat (also known as "Easy Anti-Cheat"). You will serve as a crucial technical liaison between our internal engineering teams and external partners, assisting them in integrating, debugging, and optimizing Anti-Cheat in their projects. Your role involves deep technical troubleshooting of issues, analyzing crash dumps, debugging low-level C/C++ code, and providing effective solutions and technical insights. You will help guide design decisions for Anti-Cheat, contributing to technical documentation and maintaining active communication internally and externally. The ideal candidate is proactive, detail-oriented, tactful, and empathetic, with strong problem-solving skills and the ability to communicate complex technical concepts clearly to stakeholders of varying expertise. You should be comfortable working independently and collaboratively, with excellent time management and multitasking capabilities.

In this role, you will

• Troubleshoot complex integration and operational issues involving Anti-Cheat, analyzing crash dumps, logs, and call stacks to identify root causes
• Collaborate directly with external game developers and internal teams to resolve technical issues promptly and effectively
• Debug and reproduce customer issues, clearly documenting and communicating findings internally and externally
• Represent Epic Games through asynchronous and live support, presence at trade shows such as UEFest, and customer visits
• Develop and maintain clear, comprehensive technical documentation, tutorials, and guides to support partner integration
• Advocate for partners' successful integration and continued use of Anti-Cheat and related Epic technologies, and influence product improvements through customer insights
• Research and identify opportunities to enhance Anti-Cheat technologies and developer experience

What we're looking for

• Highly proficient in C and C++, particularly low-level or kernel-level debugging and development
• Strong ability to analyze crash dumps and debug complex, obfuscated code at the assembly level
• Familiarity with cross-platform development (Windows, Linux, macOS), understanding differences and limitations across these platforms
• Exceptional problem-solving abilities, proactively tackling issues independently
• Excellent verbal and written communication skills to effectively collaborate with internal teams and external partners
• Ability to manage multiple tasks simultaneously, work well under pressure, and prioritize to meet SLA targets
• Prior experience with SDK/API integration and understanding of software engineering principles, including legacy support
• Understanding of online multiplayer video game architectures and associated security concerns

This role is open to multiple locations across North America (including CA, NYC, & WA).

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

ENGINEERING - UNREAL ENGINE

What We Do

Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide.

What You'll Do

We are looking for an experienced Developer Relations Engineer to join our team and support EOS Anti-Cheat (also known as "Easy Anti-Cheat"). You will serve as a crucial technical liaison between our internal engineering teams and external partners, assisting them in integrating, debugging, and optimizing Anti-Cheat in their projects. Your role involves deep technical troubleshooting of issues, analyzing crash dumps, debugging low-level C/C++ code, and providing effective solutions and technical insights. You will help guide design decisions for Anti-Cheat, contributing to technical documentation and maintaining active communication internally and externally. The ideal candidate is proactive, detail-oriented, tactful, and empathetic, with strong problem-solving skills and the ability to communicate complex technical concepts clearly to stakeholders of varying expertise. You should be comfortable working independently and collaboratively, with excellent time management and multitasking capabilities.

In this role, you will

• Troubleshoot complex integration and operational issues involving Anti-Cheat, analyzing crash dumps, logs, and call stacks to identify root causes
• Collaborate directly with external game developers and internal teams to resolve technical issues promptly and effectively
• Debug and reproduce customer issues, clearly documenting and communicating findings internally and externally
• Represent Epic Games through asynchronous and live support, presence at trade shows such as UEFest, and customer visits
• Develop and maintain clear, comprehensive technical documentation, tutorials, and guides to support partner integration
• Advocate for partners' successful integration and continued use of Anti-Cheat and related Epic technologies, and influence product improvements through customer insights
• Research and identify opportunities to enhance Anti-Cheat technologies and developer experience

What we're looking for

• Highly proficient in C and C++, particularly low-level or kernel-level debugging and development
• Strong ability to analyze crash dumps and debug complex, obfuscated code at the assembly level
• Familiarity with cross-platform development (Windows, Linux, macOS), understanding differences and limitations across these platforms
• Exceptional problem-solving abilities, proactively tackling issues independently
• Excellent verbal and written communication skills to effectively collaborate with internal teams and external partners
• Ability to manage multiple tasks simultaneously, work well under pressure, and prioritize to meet SLA targets
• Prior experience with SDK/API integration and understanding of software engineering principles, including legacy support
• Understanding of online multiplayer video game architectures and associated security concerns

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

We are currently seeking to add a Sr. Civil Engineer to our dynamic team in Vancouver, Washington.

• Salary: $125,000 - $140,000 annually
• Employment Type: Full-time
• Benefits: Comprehensive benefits package (see below)
• Work Flexibility: Hybrid schedules
• Sign-On Bonus

Apex Companies LLC is seeking a highly motivated senior civil engineer with experience in leading civil engineering design projects and providing direction to civil design teams. This position would serve various public and private clients within existing portfolio and provide opportunities for highly motivated candidates to develop new client relationships. Our teams specialize in delivering multi-disciplinary projects that incorporate the full breadth of Apex services and strategic subconsultant partners. 

Primary Job Responsibilities:

• Plan and administer medium to large transportation infrastructure projects.
• Provide leadership in the design of efficient and constructable civil projects.
• Estimate and budget labor hours for design projects; review job costing reports and take corrective action, as necessary.
• Establish and maintain client relationships; ensure client satisfaction and ensure that client objectives are met.
• Mentor young design professionals.
• Participate in business development opportunities.
• Participate in professional organizations and functions.

Qualifications: 

• 10+ years' experience as a consulting engineer providing design and project management of local agency or state transportation projects
• A bachelor’s degree in civil engineering and professional registration (P.E) in Washington and/or Oregon
• A solid understanding of civil design and construction standards, and environmental conditions / constraints.
• A proven history of meeting project timelines and budgets.
• Demonstrated skills developing relationships with local municipalities and utilities
• Familiarity with local code requirements
• Ability to develop creative engineering solutions to address project constraints
• Proficiency in Microsoft Office Applications (Word, Excel, Outlook)
• Excellent verbal and written communication skills with clients, staff and management.
• Familiarity with design software such as AutoCAD Civil 3D, MicroStation InRoads, HyrdoCAD, WWHM2012

Examples of Projects You May Lead Include:

• Vancouver Heights Tower Mall Redevelopment
  • 35-acre multi-phased urban redevelopment project that is focused on providing employment and affordable housing in the urban core of Vancouver, Washington. The project includes major signalized intersection improvements, two new roundabouts, and two miles of new collector roadways and a linear parkway and community plaza. Apex is providing engineering support for eight different project phases to prepare the site for private development investments.
• Broadmoor Redevelopment
  • PBS is assisting the City of Pasco to best use their available Tax Increment Financing to develop several miles of arterial roadways, five signalized intersections, and a multilane roundabout. The goal of this project is to activate the mixed use, multi-modal Broadmoor development area for private development investments. Thus, steering the needed city expansion in a way that allows for planned community tailored to cohesive short term buildout.

Req ID: 11237

#LI-SH1

Lantern is seeking a Senior Software Engineer to join our healthcare technology team and help shape the future of our platform. In this role, you will drive technical innovation, design and build robust Python-based microservices, and maintain existing C# .NET applications as we transition toward a modern, scalable architecture. You’ll work across the full stack—building secure APIs, developing intuitive frontends, and delivering cloud-native solutions that improve the lives of patients and healthcare providers.

The ideal candidate is a hands-on engineer and technical leader who promotes a culture of knowledge sharing, collaboration, and continuous improvement. You’re comfortable working across domains, partnering with Product, and other stakeholders, and navigating ambiguity to make pragmatic architectural decisions. We value engineers who take ownership, communicate clearly, and are eager to mentor others while raising the technical bar.

At Lantern, we thrive on solving complex challenges and reimagining how healthcare is delivered. We’re looking for someone who brings creativity, curiosity, and a passion for building scalable, maintainable systems—along with a strong sense of teamwork, delivery focus, and a genuine enthusiasm for improving healthcare through technology.

Location: Hybrid - at least 3 days/wk in Vancouver, BC

Responsibilities:

• Design and implement robust backend solutions using Python (FastAPI, Django, or Flask) and contribute to .NET (C#) systems during the ongoing platform transition.
• Develop, document, and maintain secure RESTful APIs for integration with internal applications, third-party services, and mobile platforms.
• Build and maintain responsive frontends using React or Angular, tailored for care advocates and patient-facing applications.
• Leverage cloud platforms (Azure, AWS) to develop scalable, high-availability solutions using cloud-native services such as functions, messaging queues, storage, and managed databases.
• Maintain CI/CD pipelines in co-ownership with infrastructure team to support continuous delivery and infrastructure automation with tools like Azure DevOps or GitHub Actions.
• Collaborate closely with Product, and QA teams to define technical requirements and ensure regulatory alignment.
• Participate in system architecture design, peer code reviews, and sprint planning to drive high-quality engineering outcomes.
• Mentor junior developers and contribute to internal technical standards, documentation, and best practices.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• A minimum of 5 years of experience in software development, with strong proficiency in Python and working knowledge of .NET (C#) for maintaining legacy systems.
• A minimum of 5 years of experience building secure, scalable REST APIs and backend services.
• Solid understanding of relational databases such as Microsoft SQL, PostgreSQL, or MySQL.
• Experience writing unit and integration tests using frameworks such as PyTest, xUnit, or Jest to ensure code quality and maintainability.
• Familiarity with OAuth 2.0 authentication and authorization flows.
• Strong experience with cloud platforms like Azure or AWS, including serverless and containerized services.
• Excellent problem-solving and analytical skills, with a proactive approach to modern design and development practices.
• Familiarity with healthcare data standards (FHIR, HL7, X12) and HIPAA-compliant environments is a plus
• Experience working within Agile/Scrum methodologies.

Benefits:

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short- & Long-Term Disability
• Life Insurance
• Flexible PTO
• RRSP with company match

Lantern is seeking a Senior Software Engineer to join our healthcare technology team and help shape the future of our platform. In this role, you will drive technical innovation, design and build robust Python-based microservices, and maintain existing C# .NET applications as we transition toward a modern, scalable architecture. You’ll work across the full stack—building secure APIs, developing intuitive frontends, and delivering cloud-native solutions that improve the lives of patients and healthcare providers.

The ideal candidate is a hands-on engineer and technical leader who promotes a culture of knowledge sharing, collaboration, and continuous improvement. You’re comfortable working across domains, partnering with Product, and other stakeholders, and navigating ambiguity to make pragmatic architectural decisions. We value engineers who take ownership, communicate clearly, and are eager to mentor others while raising the technical bar.

At Lantern, we thrive on solving complex challenges and reimagining how healthcare is delivered. We’re looking for someone who brings creativity, curiosity, and a passion for building scalable, maintainable systems—along with a strong sense of teamwork, delivery focus, and a genuine enthusiasm for improving healthcare through technology.

Location: Hybrid - at least 3 days/wk in one of our offices:  Dallas, TX (preferred) / Chicago/Evanston / New York / Washington, DC

Responsibilities:

• Design and implement robust backend solutions using Python (FastAPI, Django, or Flask) and contribute to .NET (C#) systems during the ongoing platform transition.
• Develop, document, and maintain secure RESTful APIs for integration with internal applications, third-party services, and mobile platforms.
• Build and maintain responsive frontends using React or Angular, tailored for care advocates and patient-facing applications.
• Leverage cloud platforms (Azure, AWS) to develop scalable, high-availability solutions using cloud-native services such as functions, messaging queues, storage, and managed databases.
• Maintain CI/CD pipelines in co-ownership with infrastructure team to support continuous delivery and infrastructure automation with tools like Azure DevOps or GitHub Actions.
• Collaborate closely with Product, and QA teams to define technical requirements and ensure regulatory alignment.
• Participate in system architecture design, peer code reviews, and sprint planning to drive high-quality engineering outcomes.
• Mentor junior developers and contribute to internal technical standards, documentation, and best practices.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• A minimum of 5 years of experience in software development, with strong proficiency in Python and working knowledge of .NET (C#) for maintaining legacy systems.
• A minimum of 5 years of experience building secure, scalable REST APIs and backend services.
• Solid understanding of relational databases such as Microsoft SQL, PostgreSQL, or MySQL.
• Experience writing unit and integration tests using frameworks such as PyTest, xUnit, or Jest to ensure code quality and maintainability.
• Familiarity with OAuth 2.0 authentication and authorization flows.
• Strong experience with cloud platforms like Azure or AWS, including serverless and containerized services.
• Excellent problem-solving and analytical skills, with a proactive approach to modern design and development practices.
• Familiarity with healthcare data standards (FHIR, HL7, X12) and HIPAA-compliant environments is a plus
• Experience working within Agile/Scrum methodologies.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave

Position Summary: 

Seeking a driven and motivated engineer to join our sales team focusing on growing business with existing customers and developing new business. This position will involve applications engineering, sales support and field service work. Sales Engineers should be comfortable working in a result-driven, fast-paced environment. 

Position will involve extensive formalized training plus work under a mentor, developing skills and gaining an understanding of CaptiveAire products, how we go to market, application engineering processes etc. as well as business development and sales strategies. 

Why Work for CaptiveAire? 

• Nation’s leading manufacturer of commercial kitchen ventilation systems, and now offering a complete solution of fans, heaters, ductwork and HVAC equipment.  Our primary purpose is to provide fully integrated, sustainable HVAC Systems.
• Leader in the industry for over 40 years with innovative technologies, unmatched service, competitive pricing, and rapid lead times.
• Mission: to provide the highest quality products and service to our users at the lowest possible price
• Strong commitment to the development of our employees, including continuous education opportunities like sponsorship for Professional Engineering license and continuous education through weekly webinars and company developed technical videos 

What our employees have to say: 

There is never a day you don’t learn something new at CaptiveAire. I am able to learn something new due to the freedom to take on new tasks independently and problem solve. 

I love the mindset of continuous learning and pushing the bounds of your capabilities and knowledge. I love the people I work with and the in-office work environment.I love how Captiveaire is all about connections, with customers, coworkers, end users, and everyone in between.  

One of the things I appreciate most about CaptiveAire is how strongly it embodies the entrepreneurial spirit. I’m empowered with the autonomy to manage my work independently, while also benefiting from the robust support and resources of a large, well-established company. 

CaptiveAire is fast-moving and no-nonsense. We operate differently than any other company that I've worked for with our decentralized structure. Quick action is taken when a good idea is presented. We are focused on end users where the rest of the industry is very short-sighted. We are on the front lines, actively changing the landscape of the HVAC industry. 

Learn more about CaptiveAire and our products here 

A Day in the Life: 

A technical sales role encompasses a wide variety of tasks where one day does not look exactly like the next. The projects our team handles are high in volume and unique from one another, spanning throughout the whole course of design, procurement, coordination, and post-sale support. 

Typical tasks include:

• Outside sales meetings and calls to build relationships with existing and new customers
• Application engineering to apply our products using sound engineering principles 
• Project management of installations in progress - Managing schedules/plans to guarantee we can get equipment on site when the site needs it, in turn creating satisfied and returning customers. 
• Service and technical support of existing equipment 
• Supporting end users to maintain high levels of customer service, from assisting contractors with wiring on site to remote troubleshooting for staff in the kitchen. 

Two to three full days per week in the office working on bids, one to two days on job sites, and dedicate another day to developing the territory. Territory development may include giving presentations to the engineering community, visiting new customers, or expanding contacts with an existing account.

Comments from some of our sales engineers:  

Every day I get to help someone. Whether it's an engineer with a design, a contractor with a troubleshooting issue, or an end user looking for help to obtain better indoor air quality. I get to use my engineering skills, people skills and business skills every day. 

Our main "role" is not to sell products but to provide solutions - kitchen ventilation solutions, commercial ventilation solutions, heating/air conditioning solutions. I enjoy getting to work directly with end users and helping them complete their business goals. Attending a soft opening after completing a full design-build project with an owner is rewarding. 

I love the balance between working on designs in the office and also having that face to face interaction with our customers. It's awesome to handle the design phase of a project, then also take charge of the procurement process with the end user/customer and lastly watch our equipment perform as designed once installed and the project is complete. I also love the growth aspect of my role, I enjoy molding and shaping our business in order to set it up for success and then see the value we are adding to the market. 

Primary Job Responsibilities: 

• Provide integrated application engineering and design support for a wide range of ventilation applications with the goal of providing sustainable products and the latest technologies best designed to meet the customers’ needs. 
• Work directly with Engineers, Contractors, End Users, and Food Service Dealers. 
• Daily tasks include inside sales support, application engineering and outside sales. 
• Responsibilities will vary and may include presentations, quotes, submittals, technical product support, job site visits and hands on troubleshooting as needed. 
• Educate and promote CaptiveAire products to users in your market.  This includes conference calls, meetings, organizing presentations, and product demos. 
• Research and develop new business opportunities with new and existing users. 
• Top notch customer service and willingness to go above and beyond to serve the customer. 
• Quick turnaround times a priority.  
• Continuously evaluate and improve processes as well as the customer experience. 

Required skills: 

• 2-3 years experience 
• 4 year technical degree in a mechanical, electrical, construction or science-oriented curriculum preferred 
• Excellent computer, organizational and communication/presentation skills 
• Problem solving with a passion for continuous learning 
• Strong desire to interface with the customer 
• Embrace new technologies and business savvy 
• Passion for work with aggressive nature to succeed 
• Willing to travel for various training opportunities 
• MUST BE A “GO GETTER”! 

Benefits: 

• Extended Health Care and Dental benefits
• Disability & life insurance 
• Retirement plan with employer match 
• Paid holidays 
• Paid time off (PTO) based upon tenure 
• Flexible spending account (FSA) 
• Tuition reimbursement, including for Professional Engineering (P.Eng) License  
• Relocation assistance 

 
Salary: 

$70k-$100k base, negotiable dependent on experience, with additional monthly bonus based on productivity and profits.  

Captive-Aire Systems, Inc. is proud to be an equal opportunity workplace. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. 

To qualify, applicants must be legally authorized to work in the United States. At this time, we are not able to consider applicants that require sponsorship, now or in the future, for employment visa status. 

#LI- TL1

#P1

Data Platform Solution Architect

Who We Are: 

Quadbridge is a fast-growing North American IT solutions provider, empowering businesses to navigate complex challenges daily, through strong partnerships with leading technology providers and close collaboration with our team and customers.

With locations in Kitchener, Montreal and Vancouver, we strive to create an energetic, fun workplace where ambitious, like-minded teammates collaborate, innovate, and thrive as we continue to grow our national footprint.

We are Quadbridge. See how we’re building tomorrow’s solutions, together.

This Role:

We are seeking a mid‑level Data Platform Solution Architect to join our consulting and professional services team.

This role blends solution architecture, pre‑sales support, and delivery execution, focused on designing and implementing modern data and AI platforms using Microsoft Fabric and Azure Databricks.

The successful candidate will work closely with pre-sales & delivery teams to drive assessment‑led engagements, build scalable data platform & AI design and architectures, and accelerate customer outcomes while enabling downstream services and managed services attach.

Key Responsibilities

Solution Architecture & Design

• Architect modern Data & AI platforms (Lakehouse/Data Lake) and analytics platforms using:
• Microsoft Fabric (OneLake, Data Engineering, Data Factory, Data Science, Real‑Time Analytics, Power BI)
• Azure Databricks (Lakehouse, Delta Lake, Workflows, Unity Catalog)
• Design secure, scalable, and cost‑optimized Data & AI platform architectures aligned to SMB and mid‑market needs
• Develop reference architectures and repeatable patterns aligned to Microsoft and Databricks best practices

Pre‑Sales & Assessments

• Support pre‑sales activities including:
• Technical discovery sessions
• Architecture whiteboarding
• Scoping and estimation support for Statements of Work (SOWs)
• Lead or contribute to Data & AI platform assessments (Data & AI Readiness, Fabric Readiness, Databricks/Lakehouse Assessments)

Delivery & Technical Leadership

• Act as technical lead or senior contributor on data platform implementations
• Provide design oversight and hands‑on guidance for:
• Data ingestion pipelines
• Data source integrations
• Transformations (SQL, PySpark)
• Semantic models and analytics layers
• Ensure delivery aligns to scope, timelines, and architectural standards

Governance, Security & Optimization

• Design data governance, security, and compliance models including:
• Data access controls
• Cataloging and lineage
• Workspace and tenant design
• Apply FinOps and performance optimization practices to control cloud costs
• Advise clients on platform lifecycle management and operational readiness

Partner & Practice Enablement

• Stay current with Microsoft Fabric and Databricks roadmaps and partner best practice guidance
• Contribute to:
• Internal accelerators
• Delivery templates
• Sales enablement content
• Support partner motions aligned to Microsoft Solution Partner and Databricks designations

Required Qualifications

Technical Experience

• 4–6 years of experience in data & AI engineering, analytics, or data platform architecture
• Hands‑on experience with:
• Microsoft Fabric or strong Azure Data + Power BI background transitioning to Fabric
• Strong Copilot/Copilot Studio background
• Azure Databricks and or Databricks
• Strong understanding of:
• Data platform & AI Lakehouse architecture
• ELT/ETL patterns
• SQL and PySpark
• Experience with Azure data services such as:
• Azure Data Lake Storage
• Azure Synapse
• Azure SQL
• Azure Data Factory

Consulting & VAR Experience

• Experience in a VAR, systems integrator, or consulting environment

Communication & Collaboration

• Strong client‑facing consulting and communication skills
• Ability to translate technical concepts into business value
• Experience collaborating with sales, delivery, and pre-sales teams

Preferred Certifications

Microsoft (preferred)

• Microsoft Certified: Fabric Analytics Engineer Associate
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert (plus)

Databricks

• Databricks Data Engineer Associate
• Databricks Data Engineer Professional
• Databricks Lakehouse Fundamentals

Cloud & Architecture (Nice to Have)

• Azure Fundamentals (AZ‑900)
• AI‑900 (Azure AI Fundamentals)
• FinOps Practitioner (or equivalent cost‑management training)

What Success Looks Like (First 12 Months)

• Successfully support and deliver multiple Fabric and Databricks engagements
• Become a trusted technical advisor to sales and clients
• Drive assessment‑led opportunities into implementation and managed services
• Contribute to repeatable offerings that improve delivery margin and velocity

Why Quadbridge? 

• Invest in Your Future – Benefit from our RRSP program to help you plan ahead.
• Grow With Us – Take advantage of ongoing professional training and development opportunities.
• Comprehensive Coverage – A complete health, dental, life and LTD insurance plan
• Top-Tier Equipment – We provide everything you need to do your best work.
• A Vibrant Workplace – Join us for monthly social and team building events.
• Perks You’ll Love – In our Montreal office, enjoy an onsite chef and gym.
• Stay Connected – Receive a phone allowance to keep you plugged in.
• Bring Your Best Friend – Our offices are pet-friendly!

Salary range

$160,000 to $185,000 annually, plus bonus based on KPIs

Work Schedule:

Monday to Friday, 8:30 a.m. to 5 p.m.

Permanent, full-time, hybrid or remote

Location:

Montreal (QC) , Kitchener (ON) or Vancouver (BC)

Application Deadline  

June 30, 2026

Ce poste est également affiché en français. 

Quadbridge is an equal opportunity employer, committed to diversity and inclusion in compliance with the Canadian Human Rights Act and Employment Equity Act. If you require accommodations under the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable Canadian laws during the interview process, please inform us, and we will ensure your needs are met.

LAPORTE is seeking a Building Mechanical Engineer with at least 5 years of relevant experience to join its team in either of these locations : Calgary AB or Edmonton, AB. Our engineer will contribute to design activities and provide guidance to junior engineers and designers in building mechanics, while collaborating on the execution of complex projects in the pharmaceutical, biotechnology, and food sectors.

The Mechanical Engineer and have experience in developing conceptual, preliminary and detailed designs, drawings, and specifications for the following disciplines:

• HVAC systems
• Dust collection
• Chilled water systems
• Heating water systems
• Steam sytems
• Compressed air systems
• Controls
• Plumbing

Responsibilities:

• Design and prepare detailed plans and specifications for building mechanical systems in compliance with energy efficiency principles and standards including; HVAC, hydronic and steam systems design
• Prepare engineering studies and schematic designs for new systems and analyze the operation of existing systems.
• Conduct surveys of existing installations, improve current systems, and develop new solutions while considering existing infrastructure.
• Estimate construction budgets for building mechanical systems.
• Participate in site supervision and provide services during construction.
• Manage projects and ensure successful delivery for MEP projects. Assess the requirements of projects, break them into tasks, and work with the Project Managers to determine the scope of work, budget, and staffing.
• Develop client relationships to fully understand their needs.
• Contribute to the technical quality of deliverables and interdisciplinary coordination.
• Contribute to the training and growth of the Mechanical team
• Manage and quality review of deliverables and project execution
• Write the scope of work for mechanical or utility design based on preliminary review and meetings with the clients.

Key Requirements:

• Bachelor’s degree in mechanical engineering
• Current P.Eng registration with EGBC, APEGA or APEGS
• Experience in engineering consulting in the food and beverage manufacturing or pharmaceutical manufacturing industries, (an asset)
• 5+ years of design engineering experience.
• Knowledge of HVAC system design and experience with central utilities including steam, chilled water and compressed air systems.
• Design of material handling and dust collection systems(an asset)
• Proficiency in using the Microsoft Office Suite, AutoCAD, Revit.

Benefits – What We Have to Offer:

• Competitive Salary: Competitive salary commensurate with experience and industry standards;
• Health and Wellness Programs: Comprehensive group health insurance coverage from day one (medical, dental, vision, childcare);
• Retirement Plans: Employer-contributed RRSP plan at 4%;
• Flexible Work Arrangements: Hybrid work mode, with a minimum of 2 days per week in the office;
• Professional Development: A work environment that encourages empowerment and professional growth. Professional reimbursement fees (e.g., APEGA, APEGS, EGBC, etc…) covered by the company;
• Career Advancement Opportunities: Mentorship programs, training, cross-department opportunities, etc.;
• Work-Life Balance: 3 weeks of regular vacation with 1 week of paid vacation during the Christmas holidays. 1 week of Personal/Sick leave ;
• Inclusive Culture: A diverse, flexible, and non-conformist work environment that values equity, work-life balance, and promotes efficiency in daily tasks with enormous growth opportunities;
• Team-Building Activities: Lunch & Learn sessions, team retreats, outdoor activities, family get-togethers, and workshops;
• Other Benefits: Public transport and telephone reimbursement

#LI-Hybrid