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About EarnIn
As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.
We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
POSITION SUMMARY
We are looking for an experienced, passionate, and resourceful backend software engineer to join our Live Pay team. In our team, you’ll work cross-functionally with various teams and contribute to the design and development of key platform services. This person will need to be strong in JVM programming languages and event-driven architecture, in addition to AWS. The Canada base salary range for this full-time position is $199,000- $244,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This role will be hybrid from our Vancouver, CAN office, with 2 days a week in the office required.
WHAT YOU'LL DO
- Drive the design and implementation of new features, break down complex problems into their bare essentials, translate this complexity into elegant design, and create high-quality, maintainable code
- Make a meaningful impact on the lives of our community members
- Create and maintain test automation to enable continuous integration and development velocity
- Design and deliver robust microservices integrations via REST/gRPC APIs and via messaging patterns (events/queues)
- Collaborate and mentor other engineers while providing thoughtful guidance using code, design, and architecture reviews
- Work cross-functionally with other teams, including data science, design, product, marketing, and analytics
- Debug production issues across our services infrastructure and multiple levels of our stack
- Work with distributed systems and services, and care passionately about producing high-quality code
WHAT WE'RE LOOKING FOR
- 4+ years of development experience in Software Engineering
- Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.
- Proficient in at least one JVM programming language, such as Java, Kotlin, or Scala.
- Experience with at least one major framework like Spring, Spring Boot
- Hands-on experience with SQL databases such as PostgreSQL, MySQL, or Oracle, experience with NoSQL databases is a plus
- Hands-on experience working in cloud environments: AWS, GCP, or Azure
- Hands-on experience with streaming and messaging technologies such as Kafka, AWS SNS/SQS, and AWS Kinesis.
- Experience with continuous integration and delivery tools.
- Experienced in developing and executing functional and integration tests.
- Excellent written and verbal communication skills.
- Experience with Kubernetes and microservice architecture is a strong plus.
- Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs)
#LI-Hybrid
At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
Ready to apply?
Apply to EarnIn
About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your role
As a Sr. Software Engineer on the Tel Core team, you are the steward of our media engine’s evolution. You will bridge the gap between high-level product goals and technical execution, ensuring our telephony stack remains resilient as we scale. You’ll mentor peers and shape the long-term roadmap while fostering a culture of engineering excellence. Your success is defined by the seamless, high-quality audio experience of millions of users.
This position reports to an Engineering Manager in the Telephony Core team and has the opportunity to be based in either Vancouver or Kitchener, Canada locations
We don’t mind if you come from a different engineering background or haven’t worked in real-time media before. Just be excited to learn, to contribute to the team, and to build a fast, reliable, elegant product that delights our customers.
What you’ll do
- Maintain and modernize the real-time services that run on the Telephony Engines. Architect backend libraries and APIs to integrate with the broader Telephony Platform.
- Build and optimize low-latency media pipelines for voice and video—tuning codecs, RTP flows, and congestion-control behavior to deliver consistently clear conversations over unreliable networks.
- Investigate and resolve complex production issues across PSTN, WebRTC, and carrier boundaries using Telephony Engine logs, PCAPs, observability tools, and data-driven experimentation.
- Run load, failover, and regression tests on Telephony Engines and backend services to validate scalability, resilience, and capacity limits
- Partner with Tel Cloud, Tel Edge, Calling, and AI teams to design end-to-end call flows and integrations
- Participate in on-call and release rotations, owning Terraform- and GKE-backed rollouts, monitoring health, and driving follow-ups that continuously make the platform safer and easier to operate.
- Shape the Tel Core roadmap by turning broad epics into clear designs and mentoring other engineers.
Skills you’ll bring
- Bachelor's degree in Computer Science or equivalent practical experience.
- 5+ years of software engineering experience, including owning substantial production backend systems in a SaaS or real‑time communications environment.
- Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
- Deep expertise in C/C++ and Python.
- Experience with (or strong interest in learning) SIP, WebRTC, RTP/RTCP, DTLS/SRTP, and media codec negotiation in a production setting.
- Experience troubleshooting and improving real‑time media quality (e.g., jitter, packet loss, choppy audio, codec issues) is a strong plus.
- Comfortable working on KTLO (bugs, refactors, upgrades) as well as strategic roadmap items, and using data to prioritize impact.
- A deep understanding of reliability engineering, including the ability to build observability into services, eliminate performance bottlenecks, and manage the lifecycle of safe software releases.
- A strong sense of urgency, personal agency, and customer empathy.
- Passion for data driven decisions, building resilient systems, and solving classes of problems.
Our tech stack
- C, C++, Python, Go, Lua.
- Kubernetes, Redis, ElasticSearch, BigQuery.
- Google Cloud Platform: Cloud Run, GKE, Datastore, Pub/Sub.
For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Ready to apply?
Apply to Dialpad
Software Engineer 3
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About the Cloud Payments team
Cloud Payments is part of the Cloud Billing organization. As MongoDB’s Cloud business grows, the billing and payments stack becomes increasingly mission‑critical. Our team:
- Ingests and aggregates detailed metering and usage data from internal services and major cloud providers (AWS, Azure, GCP)
- Calculates and generates daily customer bills for millions of customers worldwide
- Integrates with payment processors and internal financial systems to support Finance, Sales, Marketing, and Accounting
- Continuously improves customer-facing billing and payments experiences and the reliability and scalability of our backend systems
We’re a group of engineers who care deeply about code quality, correctness, and observability, and who are comfortable collaborating with both highly technical partners and non-technical stakeholders across the business.
The role
We’re looking for a Software Engineer 3 to help design, build, and operate the services that power Cloud Payments. You’ll work primarily in the JVM ecosystem (Java and related tooling), with a focus on large-scale, distributed systems that have to be correct, resilient, and auditable.
This is a Canada-based, fully remote role. You’ll collaborate closely with teammates and stakeholders across North America time zones, including engineers in the broader Cloud Billing organization.
What you’ll do
In this role, you will:
- Design, implement, and operate backend services that ingest, process, and reconcile large volumes of usage and billing data from internal and external systems
- Collaborate with product, Finance, Revenue, and other engineering teams to evolve our billing and payments capabilities and improve customer experience
- Own features end‑to‑end: requirements, design, implementation, testing, rollout, monitoring, and iterative improvement
- Help scale and harden our systems as Atlas and our broader Cloud business continue to grow rapidly
- Participate in architecture discussions, technical design reviews, and code reviews to keep our systems robust and maintainable
- Contribute to improving our tooling, observability, and development workflows so the whole team can move faster and safer
- Take part in an on‑call rotation that treats reliability as a team sport, not an individual burden
What we’re looking for
You may be a great fit if you:
- Have 3+ years of experience building and maintaining backend systems in a compiled language, ideally Java
- Understand core object‑oriented design principles and how to apply them to complex, evolving systems
- Have experience with distributed systems and services that need to be highly available, observable, and correct at scale
- Are comfortable working with databases (relational and/or non‑relational such as MongoDB) in production environments
- Communicate clearly and enjoy working with both technical and non‑technical stakeholders across multiple teams
- Are curious, collaborative, and motivated by solving real customer and business problems rather than just closing tickets
Nice to have (but not required):
- Experience with billing, payments, or other financial systems where correctness, auditability, and compliance really matter
- Experience with cloud platforms (AWS, GCP, Azure) and modern communication protocols like gRPC
- Familiarity with data-intensive applications, data pipelines, or data lakes
- Exposure to working with I/O frameworks like Reactor
- Experience with containerization and orchestration (e.g., Docker, Kubernetes)
- Prior exposure to MongoDB as a developer or operator
We don’t expect you to check every box. If you’re excited about the space and think you could do great work here, we’d love to hear from you.
Working model & location
- Location: Canada
- Working model: Fully remote, with colleagues primarily across North American time zones
How we’ll support you
MongoDB is committed to building a supportive, inclusive, and growth‑oriented environment for everyone on the team. Our approach to benefits and working models is designed to support your physical, emotional, financial, and family well‑being, and to give you flexibility in how you do your best work.
You’ll have opportunities to:
- Work on complex, meaningful projects that directly impact MongoDB’s Cloud business
- Learn from and collaborate with experienced engineers across Cloud Billing and other parts of MongoDB
- Grow your career through mentorship, feedback, and stretch projects aligned with your interests
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
REQ ID: 1273389937
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
Ready to apply?
Apply to MongoDB
MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers.
We are looking to speak to candidates who are based in Vancouver for our hybrid working model.
Cool things you’ll do
MongoDB is on a mission to change the way people think about databases. Along the way, our customers and partners encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.
You'll be working alongside our largest customers and partners, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between.
You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' and partners’ needs - working with our product management and development teams on their behalf.
You'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. Externally, you will work with many of MongoDB's top ISV partners and ensure excellence for our joint customers.
In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.
What you need
We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.
It’s important for candidates to check off these boxes:
- Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
- Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc.)
- Experience managing large scale databases (e.g. RDBMS or NoSQL)
- Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
- Experience building and maintaining complex mission-critical production database systems
- Be able to read and write code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc.
- Experience working with APIs and other application integration technologies
- Broad awareness of customer workloads and use cases, including performance, availability, and scalability
- Experience analyzing issues holistically, from the application tier through the database, down to the storage
- Genuine desire to help people
- Ability to think on your feet, remain calm under pressure, and solve problems in real-time
- Desire and ability to rapidly learn a wide variety of new technical skills
- Collaboration: Ability to work collaboratively amongst cross functional teams (partner, sales, support, customer success, etc)
- Willingness and clarity of thoughts to be able to work in ambiguous multi-party situations where motivations and incentives are sometimes misaligned
- General understanding of partner ecosystems
Bonus Points
- Experience in one or more programming languages developing applications using a NoSQL or SQL database
- Strong understanding of authentication systems such as LDAP, Kerberos, AD
- Experience using or managing MongoDB
- Experience using distributed version control systems, and in particular git
- Experience using any cloud services stack such as AWS, Azure or GCP
- Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators
- Experience in working software product teams, and familiarity with product release processes from planning to release
- Experience with one or more 3rd party partner technologies and software in the areas of security and fraud, big data analytics and AI, healthcare, content management, IoT, database performance monitoring and management; financial services, healthcare services, telco etc
- General understanding of the genAI concepts and technology companies in this space
Success Measures
- In 3 months, you’ll have gained a deep understanding of MongoDB and its partner ecosystem. You will complete New Hire Training
- In 6 months, you will be comfortable working frontline with our customers and partners. You will also complete the MongoDB Certified DBA Associate exam
- In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advanced diagnostics. Also, you will be encouraged to handle technical escalations independently
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 4263346828
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
Ready to apply?
Apply to MongoDB
The Team
Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems.
The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products.
This role can sit in our Toronto or Vancouver offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation.
Role Overview
We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable.
The ideal candidate should
- Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles
- Possess a customer-focused mindset, driving improvements that benefit end-users
- Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”)
- Be intimately familiar with modern cloud-based infrastructure and the network design primitives of at least one of AWS, Azure, or GCP, e.g. VPCs, subnetting, routing, VPNs, peering, private link / private service connect, and CDNs
- Have a strong knowledge of service mesh and load-balancing concepts, and be eager to implement these in a multi-cloud environment
Expectations
- Participate in the development of a reliable and resilient multi-cloud globally-connected network that is crucial for MongoDB’s services
- Collaborate with service-owning teams to provide internal support, addressing technical issues and offering guidance on best practices for service-to-service connectivity
- Participate in a 24/7 on-call rotation to swiftly resolve issues related to network architecture and service-to-service connectivity, ensuring minimal disruption and high availability
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 426185
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
Ready to apply?
Apply to MongoDB
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
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.
Ready to apply?
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Senior Pre-Sales Systems Engineer, Western Canada
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We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
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
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Ready to apply?
Apply to Everpure
Overview of 66degrees
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.
At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
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.
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
AI Transparency & Disclosure
As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.
These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.
Ready to apply?
Apply to 66degrees
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering at Brex
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
As a Senior Application Security Engineer, you will focus on finding and responding to security vulnerabilities across the Brex platform. In this role, you will perform code reviews, design reviews, penetration testing, and vulnerability management. You will develop and maintain tooling to perform static and dynamic testing of the Brex platform and tooling which supports secure developer workflows. Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, IT Infrastructure teams.
We’re looking for individuals with a strong background and interest in penetration testing. You should have a demonstrated ability to find vulnerabilities in complex systems and craft exploits to demonstrate business impact. This role is highly cross functional and collaborative, you will have the opportunity to work with every engineering team across Brex. You should be enthusiastic about working with a variety of backgrounds, roles, and needs. Building a world-class financial service requires world-class security.
Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. We're at the early stages of integrating AI across our product suite, this role will have the opportunity to influence and secure the future of AI Security at Brex. You'll be at the forefront of securing our novel AI implementations, identifying attack vectors in agentic-powered features, and partnering with product and engineering teams to build AI capabilities that our customers can trust with their critical financial operations.
Responsibilities
- Identifying vulnerabilities, demonstrating business impact, and articulating the risk of specific vulnerabilities to drive prioritization efforts
- Perform penetration testing and design reviews, looking for vulnerabilities and insecure designs, work with engineering and product to design secure product features
- Maintain and build internal tools to automate security efforts, perform SAST and DAST testing of the Brex platform, and support secure development practices
- Build and contribute to a culture of collaborative security excellence through technical leadership, learning sessions, and mentorship within the team and wider organization
Requirements
- 5+ years work experience in an Application Security or related role
- Ability to find vulnerabilities in complex systems, demonstrating business impact through custom attack chains
- Experience with a wide range of secure development activities including— threat modeling, developer education, and incident response
- Knowledge of Python, scripting languages, and AI/agentic workflows to automate tasks, build tools and improve productivity
- Collaborative mindset paired with strong written and verbal communication skills
Bonus points
- Proficiency with Kotlin, gRPC, GraphQL, Kubernetes
- Previous experience as a software engineer
- Consultancy experience performing web application security reviews
- Experience with securing distributed systems in AWS and cloud environments
- Experience with pentesting and securing agentic features and systems
- Contributions to the wider technical community— open source, public research, mentorship, community organizing, blogging, CVEs, presentations, etc
- Experience submitting to bug bounty programs or responsible disclosure programs
Compensation
The expected salary range for this role is $192,000 - $240,000. 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.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering at Brex
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
As an Application Security Engineer, you will contribute to finding and responding to security vulnerabilities across the Brex platform. In this role, you will participate in code reviews, design reviews, penetration testing, and vulnerability management. You will contribute to tooling that performs static and dynamic testing of the Brex platform and supports secure developer workflows. Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, and IT Infrastructure teams.
We're looking for individuals with a solid foundation in penetration testing and a curiosity for finding vulnerabilities in complex systems. You should have experience identifying and documenting vulnerabilities across common vulnerability classes and be able to communicate their risk clearly to engineering and product teams. This role is highly cross-functional — you'll have the opportunity to collaborate with engineering teams across Brex and grow your security expertise in a fast-moving environment.
Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. As we integrate AI across our product suite, this role will give you hands-on experience contributing to AI security at Brex. You'll apply emerging AI security best practices to help secure our agentic features, identify attack surfaces introduced by LLM-powered systems, and partner with product and engineering teams to build AI capabilities our customers can trust with their critical financial operations.
Responsibilities
- Identify vulnerabilities across common vulnerability classes (e.g., OWASP Top 10), document findings clearly, and communicate risk to drive remediation efforts
- Participate in penetration testing and design reviews alongside senior engineers, contributing to the identification of vulnerabilities and insecure designs
- Contribute to internal tooling and automation efforts that support SAST and DAST testing of the Brex platform and promote secure development practices
- Collaborate with engineering and product teams to support the design of secure product features
- Actively contribute to a culture of security awareness through knowledge sharing and peer learning
Requirements
- 4+ years of work experience in Application Security or a related role
- Demonstrated ability to find and document vulnerabilities in complex systems, with clear communication of business risk
- Hands-on experience with a subset of secure development activities, such as code review, threat modeling, or penetration testing
- Experience identifying security risks in AI/ML systems — such as prompt injection, model manipulation, or data poisoning — through work experience, personal projects, CTFs, or bug bounties
- Familiarity with agentic workflows and the ability to reason about attack surfaces introduced by LLM-powered features
- Knowledge of Python or scripting languages to automate tasks and build tooling
- Collaborative mindset paired with strong written and verbal communication skills
Bonus points
- Experience with Kotlin, gRPC, GraphQL, Kubernetes
- Previous experience as a software engineer
- Experience with securing distributed systems in AWS and cloud environments
- Experience with web application security reviews
- Contributions to the wider technical community — open source, public research, CTF participation, blogging, CVEs, or presentations
- Experience submitting to bug bounty or responsible disclosure programs
- Published AI security research or contributions to AI security frameworks
Compensation
The expected salary range for this role is $152,000 - $190,000. 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.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more.
In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.
This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.
What you’ll do
- Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
- Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
- Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
- Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
- Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
- Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
- Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
- Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
- Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
- Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
- Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
- Mentor engineers and contribute to raising the bar on AI quality engineering practices.
What you’ll bring
- 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
- Strong programming skills in Python (preferred), Java, or JavaScript.
- Experience testing distributed, cloud-native SaaS systems and APIs.
- Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
- Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
- Understanding of non-deterministic systems and probabilistic testing approaches.
- Experience building test frameworks and scalable automation systems.
- Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
- Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
- Strong collaboration skills with the ability to work across distributed teams and time zones.
- Bachelor’s degree in Computer Science or equivalent practical experience.
- Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
- Frontend: Vue3, React.
- AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.
For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Ready to apply?
Apply to Dialpad
About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your Role
As a Sr. Software Engineer in Tel Cloud, you will own the components that power our global communications systems. You will work on features like call routing, SMS/MMS messaging, spam detection, fraud detection, fleet deployments, porting, and number management, ensuring our platform remains scalable, reliable, and trustworthy.
This position reports to an Engineering Manager in the Telephony Platform team.
We don’t mind if you come from a different engineering background or haven’t worked in communications before. Just be excited to learn, contribute to the team, and build a fast, reliable, elegant product that delights our customers.
What you’ll do
- Design data models for heavy concurrency and real-time performance, ensuring sub-second latency for global call routing.
- Test and tune service scaling to ensure we always have capacity available to service our customers’ real-time communications.
- Build monitors and alerts to maintain high reliability and observability.
- Participate in releases and on-call rotations, driving operational excellence for the team's platform components.
- Design, write, and deploy features used by Dialpad engineering teams to communicate with carriers and third-party communication services.
- Strategize and drive the roadmap for cross-team platform initiatives.
- Serve as a champion, coach, and mentor to more junior engineers, promoting a culture of ownership and craftsmanship.
Skills you’ll bring
- Bachelor's degree in Computer Science or equivalent practical experience.
- 5+ years of SaaS professional experience maintaining large-scale production backend systems.
- Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
- Deep expertise in Python/Java/C and at least one cloud-native architecture (e.g., GCP).
- Familiarity with async and MapReduce design patterns, as well as NoSQL databases, distributed caches, and large-scale data lakes.
- Experience in profiling and optimizing backend code for low-latency requirements (p50/p90 metrics).
- A strong sense of urgency, personal agency, and customer empathy.
- Passion for data-driven decisions, building resilient systems, and solving classes of problems.
Our tech stack
- Backend: Python, Google Cloud Platform, Cloud Run / k8s, Datastore, Redis, ElasticSearch, BigQuery, Google Cloud Pub/Sub.
- Frontend: Angular / Bootstrap.
For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Ready to apply?
Apply to Dialpad
About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
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.
For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Ready to apply?
Apply to Dialpad
About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more.
In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.
This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.
What you’ll do
- Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
- Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
- Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
- Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
- Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
- Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
- Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
- Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
- Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
- Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
- Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
- Mentor engineers and contribute to raising the bar on AI quality engineering practices.
What you’ll bring
- 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
- Strong programming skills in Python (preferred), Java, or JavaScript.
- Experience testing distributed, cloud-native SaaS systems and APIs.
- Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
- Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
- Understanding of non-deterministic systems and probabilistic testing approaches.
- Experience building test frameworks and scalable automation systems.
- Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
- Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
- Strong collaboration skills with the ability to work across distributed teams and time zones.
- Bachelor’s degree in Computer Science or equivalent practical experience.
- Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
- Frontend: Vue3, React.
- AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.
For exceptional talent based in Ontario, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in Ontario role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Ready to apply?
Apply to Dialpad
Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.
Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.
By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com.
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
Where we work:
We have offices in Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.
Diversity, inclusion, and accessibility:
At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.
Ready to apply?
Apply to Later
Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.
Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.
By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com.
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
Where we work:
We have offices in Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.
Diversity, inclusion, and accessibility:
At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.
Ready to apply?
Apply to Later
Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.
Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.
By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com.
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
Where we work:
We have offices in Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.
Diversity, inclusion, and accessibility:
At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.
Ready to apply?
Apply to Later
Software Engineer, Platform - Vancouver, Canada
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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.
Ready to apply?
Apply to Speechify
Senior Software Engineer - Web Data Team
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ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.
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
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.
In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
Ready to apply?
Apply to ZoomInfo Technologies LLC
Senior Security Operations Engineer
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Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering at Brex
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
As a Security Operations Engineer at Brex, you will focus on preventing, detecting and responding to security threats across Brex's corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities. Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions.
Security Operations is part of our wider Trust & IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents. You will also help build and maintain our team’s open source project Substation and have the opportunity to contribute to the Brex Tech Blog. You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.
We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex. Building a world-class financial service requires world-class security.
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
- Work on a highly cross-functional team to prevent, detect and respond to security threats across Brex's corporate and cloud environments
- Perform security incident response, investigation, remediation, and documentation, participate in periodic threat hunting and security exercises
- Leading, scoping and building features, participate in designing, and maintaining tools and systems which support the team’s domains – corporate security, detection & response and infrastructure security
- Collaborating and partnering with engineering and operations teams to drive remediation of security issues, while balancing prioritization of those security issues within SLA and teams’ respective backlogs
- Caring about secure system design, valuing building things correctly, an understanding of a MVP approach and an empathetic mindset when working with others
Requirements
- Bachelor’s degree in Computer Science, Engineering or related field OR equivalent training / fellowship OR 5+ years work experienceExperience working in a corporate security, detection & response or infrastructure security role with responsibilities for security alert triage and security incident response
- Familiarity with CI/CD systems and DevOps workflows (e.g. Buildkite, Flux, Git, Terraform) in cloud environments (e.g. AWS, Azure, GCP)
- Experience with deploying and maintaining some of the security services and tools owned by the team (e.g. - SIEM, data pipelines, SOAR, domain monitoring, endpoint tooling, email protection tooling, cloud security tools)
- While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required
- You thrive in a collaborative environment filled with a diverse group of people with different expertise and backgrounds. We currently have around 30 nationalities represented with more than ½ the company working in a country different from the one they grew up in.
Bonus points
- Proficiency with Go and other programming languages
- Experience with securing distributed systems in AWS, cloud and Kubernetes environments
- Contributions to the wider technical community (open source, public research, mentorship, community organizing, blogging, presentations, etc)
Compensation
The expected salary range for this role is $192,000 CAD - $240,000 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.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Senior Security Operations Engineer
Share this job
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering at Brex
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
As a Security Operations Engineer at Brex, you will focus on preventing, detecting and responding to security threats across Brex's corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities. Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions.
Security Operations is part of our wider Trust & IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents. You will also help build and maintain our team’s open source project Substation and have the opportunity to contribute to the Brex Tech Blog. You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.
We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex. Building a world-class financial service requires world-class security.
Where you’ll work
This role will be based in our San Francisco 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
- Work on a highly cross-functional team to prevent, detect and respond to security threats across Brex's corporate and cloud environments
- Perform security incident response, investigation, remediation, and documentation, participate in periodic threat hunting and security exercises
- Leading, scoping and building features, participate in designing, and maintaining tools and systems which support the team’s domains – corporate security, detection & response and infrastructure security
- Collaborating and partnering with engineering and operations teams to drive remediation of security issues, while balancing prioritization of those security issues within SLA and teams’ respective backlogs
- Caring about secure system design, valuing building things correctly, an understanding of a MVP approach and an empathetic mindset when working with others
Requirements
- Bachelor’s degree in Computer Science, Engineering or related field OR equivalent training / fellowship OR 5+ years work experienceExperience working in a corporate security, detection & response or infrastructure security role with responsibilities for security alert triage and security incident response
- Familiarity with CI/CD systems and DevOps workflows (e.g. Buildkite, Flux, Git, Terraform) in cloud environments (e.g. AWS, Azure, GCP)
- Experience with deploying and maintaining some of the security services and tools owned by the team (e.g. - SIEM, data pipelines, SOAR, domain monitoring, endpoint tooling, email protection tooling, cloud security tools)
- While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required
- You thrive in a collaborative environment filled with a diverse group of people with different expertise and backgrounds. We currently have around 30 nationalities represented with more than ½ the company working in a country different from the one they grew up in.
Bonus points
- Proficiency with Go and other programming languages
- Experience with securing distributed systems in AWS, cloud and Kubernetes environments
- Contributions to the wider technical community (open source, public research, mentorship, community organizing, blogging, presentations, etc)
Compensation
The expected salary range for this role is $192,000 - $240,000. 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.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Senior Security Operations Engineer
Share this job
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering at Brex
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
As a Security Operations Engineer at Brex, you will focus on preventing, detecting and responding to security threats across Brex's corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities. Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions.
Security Operations is part of our wider Trust & IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents. You will also help build and maintain our team’s open source project Substation and have the opportunity to contribute to the Brex Tech Blog. You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.
We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex. Building a world-class financial service requires world-class security.
Where you’ll work
This role will be based in our New York 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
- Work on a highly cross-functional team to prevent, detect and respond to security threats across Brex's corporate and cloud environments
- Perform security incident response, investigation, remediation, and documentation, participate in periodic threat hunting and security exercises
- Leading, scoping and building features, participate in designing, and maintaining tools and systems which support the team’s domains – corporate security, detection & response and infrastructure security
- Collaborating and partnering with engineering and operations teams to drive remediation of security issues, while balancing prioritization of those security issues within SLA and teams’ respective backlogs
- Caring about secure system design, valuing building things correctly, an understanding of a MVP approach and an empathetic mindset when working with others
Requirements
- Bachelor’s degree in Computer Science, Engineering or related field OR equivalent training / fellowship OR 5+ years work experienceExperience working in a corporate security, detection & response or infrastructure security role with responsibilities for security alert triage and security incident response
- Familiarity with CI/CD systems and DevOps workflows (e.g. Buildkite, Flux, Git, Terraform) in cloud environments (e.g. AWS, Azure, GCP)
- Experience with deploying and maintaining some of the security services and tools owned by the team (e.g. - SIEM, data pipelines, SOAR, domain monitoring, endpoint tooling, email protection tooling, cloud security tools)
- While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required
- You thrive in a collaborative environment filled with a diverse group of people with different expertise and backgrounds. We currently have around 30 nationalities represented with more than ½ the company working in a country different from the one they grew up in.
Bonus points
- Proficiency with Go and other programming languages
- Experience with securing distributed systems in AWS, cloud and Kubernetes environments
- Contributions to the wider technical community (open source, public research, mentorship, community organizing, blogging, presentations, etc)
Compensation
The expected salary range for this role is $192,000 - $240,000. 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.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Senior Security Operations Engineer
Share this job
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering at Brex
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
As a Security Operations Engineer at Brex, you will focus on preventing, detecting and responding to security threats across Brex's corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities. Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions.
Security Operations is part of our wider Trust & IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents. You will also help build and maintain our team’s open source project Substation and have the opportunity to contribute to the Brex Tech Blog. You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.
We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex. Building a world-class financial service requires world-class security.
Where you’ll work
This role will be based in our Seattle 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
- Work on a highly cross-functional team to prevent, detect and respond to security threats across Brex's corporate and cloud environments
- Perform security incident response, investigation, remediation, and documentation, participate in periodic threat hunting and security exercises
- Leading, scoping and building features, participate in designing, and maintaining tools and systems which support the team’s domains – corporate security, detection & response and infrastructure security
- Collaborating and partnering with engineering and operations teams to drive remediation of security issues, while balancing prioritization of those security issues within SLA and teams’ respective backlogs
- Caring about secure system design, valuing building things correctly, an understanding of a MVP approach and an empathetic mindset when working with others
Requirements
- Bachelor’s degree in Computer Science, Engineering or related field OR equivalent training / fellowship OR 5+ years work experienceExperience working in a corporate security, detection & response or infrastructure security role with responsibilities for security alert triage and security incident response
- Familiarity with CI/CD systems and DevOps workflows (e.g. Buildkite, Flux, Git, Terraform) in cloud environments (e.g. AWS, Azure, GCP)
- Experience with deploying and maintaining some of the security services and tools owned by the team (e.g. - SIEM, data pipelines, SOAR, domain monitoring, endpoint tooling, email protection tooling, cloud security tools)
- While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required
- You thrive in a collaborative environment filled with a diverse group of people with different expertise and backgrounds. We currently have around 30 nationalities represented with more than ½ the company working in a country different from the one they grew up in.
Bonus points
- Proficiency with Go and other programming languages
- Experience with securing distributed systems in AWS, cloud and Kubernetes environments
- Contributions to the wider technical community (open source, public research, mentorship, community organizing, blogging, presentations, etc)
Compensation
The expected salary range for this role is $192,000 - $240,000. 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.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
As Marqeta’s Principal Software Engineer on the Core Issuing & Processing team, you will work across the entire domain to stand up and drive high-impact projects for our customers from inception to completion. You will take on highly technical initiatives that optimize our issuing and processing engines, own the technical roadmap for the core platform, and partner with engineering leaders to drive engineering and operational excellence throughout the organization.
We work Flexible First. This role can be performed remotely anywhere within Ontario or British Columbia, Canada. We’d love for you to join
The Core Issuing and Processing team owns the foundational stack that powers Marqeta's core business. We develop and maintain the systems that span six critical domains: Onboarding, Issuing, Digital Wallets, Authorization & Clearing, Transaction Controls, and Ledger. Together, these systems form the backbone of Marqeta's card issuing and payment processing platform.
The Impact You’ll Have
- Own the technical roadmap and author system designs that enable scalable, secure, and operationally efficient card issuing and payment processing products for our customers.
- Spend significant time in the codebase – writing, reviewing, and optimizing code across the issuing and processing stack.
- Identify and drive high-impact technical initiatives that improve the performance, reliability, and cost-efficiency of our core processing engines.
- Collaborate with Product Managers to analyze requirements and provide technical recommendations across onboarding, issuing, digital wallets, authorization & clearing, transaction controls, and ledger.
- Mentor and guide technical leads, influence stakeholders, and establish success metrics to drive organization-wide technical excellence.
- Apply and evangelize modern best practices in your software designs and implementations to increase the platform's resiliency and scalability.
Who You Are
- 12+ years of hands-on software engineering experience.
- Demonstrated passion for software engineering excellence, including design principles, fault tolerance practices, scalability, cost, security & privacy considerations, and test-driven development.
- Experience partnering with product teams to ideate and bring innovative solutions to market.
- Experience developing and scaling microservices using modern cloud technologies, preferably AWS.
- Experience working with high volume / low latency data infrastructures.
- Solid understanding of security engineering best practices and demonstrable experience in designing solutions that adhere to those standards.
- Passion for non-functional challenges, namely: Scale, Cost, Reliability, Performance, High Availability.
- Experience building systems running in multiple regions.
- Team-oriented approach – can effectively lead a project, participate as an influential team member, and work cross-functionally with other organizations.
- Experience with our tech stack, namely Java, Springboot, Kubernetes, Terraform, Helm, Kafka, JPOS, and AWS services.
Nice-To-Haves
- Master's degree in Software Engineering.
- Experience in payment processing, card issuing, or the payments industry.
- Domain experience in authorization, clearing, settlement, tokenization, or ledger systems.
Your Manager
Recruiter For This Role
Typical Process
- Application Submission
- Recruiter phone call
- Hiring manager video call
- Virtual “Onsite” consisting of 4-5, 45 min calls
Compensation and Benefits
Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location.
When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is: 207,600 - 259,500
We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.
Along with monetary compensation, Marqeta offers
- Multiple health insurance options
- Flexible vacation time
- Retirement savings program with company contribution
- Equity in a publicly-traded company
- Monthly stipend to support our remote work model
- Annual “development dollars” to support our people growth and development
- Family-forming benefits and up to 20 weeks of Parental Leave
About Marqeta
Marqeta is on a mission to change the way money moves. We’re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). You don’t need to be a Payments expert to join the Marqeta Team, let us help you with that. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all.
Marqeta’s Values
– Solve for the Customer: With a deep understanding of our customers' business and empathy for their needs, we deliver products and services that drive their success. Earning and keeping their trust guides everything we do.
– Do What's Right: Knowing businesses and livelihoods depend on us, we pursue solutions that disrupt responsibly and deliver high-quality results that our customers count on. We own our work from start to finish.
– Simplify and Innovate: We approach challenges with curiosity and take smart risks. Innovation comes from finding better, simpler ways to achieve extraordinary outcomes.
– Win as a Team: We succeed together by embracing diverse perspectives and pushing each other to raise the bar. We lead with humility and set aside hierarchy to work as a team.
– Make it Count: We drive forward with focus and agility. With a sense of urgency and purpose, we get the job done, and done right.
Equal Employment Opportunity, Accommodations and Privacy
Marqeta is an equal opportunity employer committed to an inclusive workplace that fosters belonging. We do not discriminate based on race, color, religion, sex (including pregnancy, lactation, childbirth, or related medical conditions), veteran status or uniformed service member status, age, national origin or ancestry, citizenship or immigration status, physical or mental disability, gender identity, gender expression, sexual orientation, genetic information (including testing or characteristics) or any other characteristic protected by applicable law. We also consider qualified applicants with criminal histories, consistent with legal requirements.
Marqeta endeavors to make reasonable accommodations for applicants with disabilities. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please submit this form with your specific accommodation request.
Personal data that is provided as part of the application and recruitment process is processed in accordance with the Applicant Privacy Notice. Additional information for California residents can be found here.
Ready to apply?
Apply to Marqeta
[PIPELINE] Senior Software Engineer - Backend
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Marqeta is looking for talented Senior Backend Software Engineers to join our Engineering team. As a Senior Software Engineer, you will develop scalable software that powers Marqeta's backend services. You will create and review engineering design documentation, continuously improve our systems, infrastructure, and processes, create features, review code, and collaborate with a diverse set of stakeholders across the company. As a Backend Engineer, you'll ship products that matter and play an important role in helping Marqeta scale as the leader in modern card issuing. You'll innovate on architecture, write impactful software and spend time mentoring other engineers.
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!
This posting is for multiple Senior Software Engineering roles across Marqeta.
The Impact You'll Have
- Define and deliver well-scoped milestones for projects and may be a technical lead for projects on your team.
- Actively keep customer needs in mind and leverage input from product stakeholders to determine the right technical solutions to deliver customer value quickly.
- Actively level up less-experienced members of your team by helping them with their craft, providing guidance, and setting a good example.
- Independently write code that is clear with minimal bugs that captures the essential nature of the solution and is appropriately flexible, reusable, efficient, and adaptable to changing requirements.
- Identify gaps and propose plans towards addressing those gaps.
- Challenge the status quo and come up with innovative ideas.
- Lead design for small-medium components/features and participate in design for larger components/features (moving from task level impact to small-medium project level impact).
- Have significant ownership of a component/feature of the system.
- Independently design software components in well scoped scenarios, with simplicity and maintenance as key considerations, ensuring components are testable, debuggable and have logical APIs that are not easily misused.
- Participate in on-call coverage
Who You Are
- 5+ years of experience as a backend 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.
- Experience building scalable software platforms.
- Experience developing in Java.
- Experience working within Cloud environments, AWS preferred.
- Experience with SQL.
- Experience with Microservices architecture.
- Experience working with distributed systems.
- Experience making technical trade offs and navigating technical complexities.
- Experience troubleshooting production issues.
- Ability to decompose business problems into solutions that may require designs with multiple interacting components.
- Ability to to build correct, maintainable software components.
- A focus on quality and meeting deadlines.
- Ability to present clear and concise messages tailored to various audiences; able to communicate in a clear, concise, and respectful manner both verbally and in writing.
- Ability to share relevant information including if difficult task-level trade-offs that impact the product need to be made.
- Ability to work with cross-functional stakeholders to identify technical blindspots and clarify ambiguity.
Nice to haves
- Experience with payments or the FinTech space
- Experience with AWS technologies
- Experience in software delivery pipelines, CI/CD systems, and software deployment and orchestration systems such as Kubernetes and/or Docker
- Contributions to technical blogs, a public Github repo, or to open source projects
- Experience with unit testing / functional testing / integration testing
- Experience building scalable software platforms.
- Experience in end-to-end service ownership model including maintenance of infrastructure and familiarity with IaC technologies, CI/CD and observability tools (ie DataDog)
Our (typical) process:
- Application submission
- Recruiter video call
- Coding interview
- 45 min Hiring Manager video call
- Virtual “Onsite” consisting of three 45-60 minute rounds
- Offer!
This position is for an existing vacancy.
Compensation and Benefits
Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location.
When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is: 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
Ready to apply?
Apply to MQ Referrals Only
Senior Software Engineer - Fullstack
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Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.
Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.
We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:
- Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
- AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack.
- Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
- Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.
What we look for:
- 5+ years of experience with HTML, CSS, and JavaScript.
- Passion for user experience and design and a deep understanding of front-end architecture.
- Comfortable working towards a multi-year vision with incremental deliverables.
- Motivated by delivering customer value.
- Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
- 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
- Good knowledge of SQL.
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
- Experience developing large-scale distributed systems.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Software Frontend Engineer – Dashboards
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At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from accelerating medical breakthroughs to building the next generation of intelligent products. We do this by creating the world’s best Data Intelligence Platform, empowering customers to turn massive data into deep, actionable insights.
Founded by engineers and driven by innovation, we’re obsessed with designing intuitive, high-performance user experiences that make complex data exploration simple and approachable.
As a Senior Frontend Engineer focused on Dashboards, you’ll build intuitive and scalable end-to-end experiences that help users create, explore, and share insights from data. You’ll work across the frontend, partnering with designers, product managers, and engineers to develop the next generation of dashboards, interactivity, and analytical workflows within Databricks.
What You’ll Do
- Design and build intuitive, high-performance experiences for creating and editing dashboards, as well as for authoring the data behind them, including SQL datasets, custom calculations, and semantic modeling.
- Partner closely with design and product to translate complex analytical concepts into polished, intuitive, and efficient dashboard experiences.
- Drive innovation in how Databricks users interact with data, enabling seamless and responsive exploration at scale.
- Own frontend development for core dashboard workflows, with a focus on usability, performance, accessibility, and reliability.
- Help shape the architecture, abstractions, and platform foundations that support a broad range of dashboarding and analytical use cases.
- Collaborate with backend engineers and adjacent teams to define APIs, data models, and contracts that power interactive and scalable dashboard experiences.
What We Look For
- 5+ years of professional software engineering experience, with strong experience building both frontend and backend systems.
- Expertise in modern frontend development with HTML, CSS, JavaScript/TypeScript, and React, or similar frameworks.
- Deep understanding of UX principles, accessibility, and responsive design for data-heavy interfaces.
- Experience designing scalable systems and abstractions that support interactive, high-performance product experiences.
- Proven ability to collaborate cross-functionally and deliver impactful user-facing features.
- Experience building dashboards, analytics, data exploration, authoring tools, or business intelligence products is a plus.
- Familiarity with SQL authoring, custom calculations, semantic modeling, or related analytical workflows is a plus.
- Experience with cloud technologies such as AWS, Azure, GCP, or Kubernetes is preferred.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Cloud Platform Engineer
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About Lantern
Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.
About You:
- You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins.
- INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with.
- You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas.
- You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren’t just the individuals using your product. They are the driving factor in your motivation to make a change.
- Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear.
- You thrive in a Team Environment. Collaboration is key in innovation and creating change.
These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT, individuals can find their way to the best care, resources, and support they need to get back to life.
If this sounds like you, we would love to connect to speak further about career opportunities at Lantern.
Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.
Lantern is seeking an experienced Senior Cloud Platform Engineer to drive the evolution of our Azure-based infrastructure, focusing on scalability, automation, and regulatory compliance. In this pivotal role, you will architect, implement, and operate a secure, resilient, multi-region cloud platform that supports our mission to make excellent, affordable care more accessible to everyone.
You will collaborate with a talented team of cloud engineers and architects, championing operational excellence and delivering highly available, HIPAA- and SOC-compliant infrastructure. Working closely with security, application development, and business teams, you will help build robust, enterprise-grade platforms that empower innovation, agility, and growth.
This role is ideal for a cloud expert with deep Microsoft Azure expertise, a strong record of contributing to high-performing teams, and a passion for building scalable infrastructure in dynamic, fast-paced enterprise environments.
Location: Hybrid - at least 3 days/wk in Vancouver, BC
On-Call: This position requires being on-call 1 week per month at the most
Responsibilities:
- Design, implement, and maintain secure, scalable, and highly available Azure cloud infrastructure to support Lantern’s healthcare solutions.
- Collaborate with cloud architects, engineers, application developers, and InfoSec teams to deliver enterprise-grade cloud platforms that meet HIPAA, SOC 2, and other regulatory requirements.
- Develop and maintain Infrastructure-as-Code (IaC) using tools such as Terraform to automate provisioning, configuration, and deployment of Azure resources.
- Implement and optimize CI/CD pipelines using Azure DevOps and GitHub Actions to support agile software development and rapid release cycles.
- Ensure robust monitoring, observability, and alerting for production systems; proactively address incidents and contribute to incident response.
- Participate in cost optimization efforts by monitoring resource usage and recommending efficiencies for cloud spend.
- Contribute to disaster recovery planning, business continuity, and uptime strategies for critical healthcare applications.
- Maintain comprehensive documentation for infrastructure, deployments, and operational procedures.
- Participate in cross-functional meetings with product, engineering, and compliance teams to ensure infrastructure aligns with business and regulatory goals.
- Mentor junior engineers and support a culture of collaboration and continuous improvement within the team.
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
- 4+ years of experience in cloud infrastructure engineering, systems administration, or DevOps roles.
- 3+ years of hands-on experience with Microsoft Azure (experience with AWS or Google Cloud Platform is a plus).
- Experience designing, deploying, and managing cloud-based infrastructure at scale.
- Practical experience configuring and maintaining CI/CD pipelines using Azure DevOps and GitHub Actions.
- Proven experience in a regulated environment, ideally in the healthcare sector with HIPAA and/or SOC compliance requirements.
- Hands-on exposure to security best practices for cloud environments, including identity and access management, encryption, and monitoring/logging.
- Strong problem-solving and troubleshooting abilities.
- Excellent communication and collaboration skills.
- If you don’t meet every requirement listed, we still encourage you to apply.
Strong Candidates Will:
- Strong experience with Infrastructure as Code (IaC), especially Terraform, to automate Azure resources.
- Experience managing Azure App Services, networking, and storage solutions.
- Experience with containerization (Docker, Azure Kubernetes Service) is a plus.
- Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Administrator) are a plus.
Benefits:
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Short- & Long-Term Disability
- Life Insurance
- RRSP with company match
Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Ready to apply?
Apply to Lantern
DevOps Engineer
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Sony Pictures Imageworks is located on the unceded traditional territory of the Musqueam, Squamish, and Tsleil-Waututh First Nations. We are committed to respecting traditional lands, and working with communities towards reconciliation.
Sony Pictures Imageworks Canada Inc.
658 Homer Street., Suite 405, Vancouver, BC, V6B 2R4
Project based, Full Time
Language in work environment - English
Benefits per company policy: include healthcare, tuition reimbursement, RRSP's, Sick and Vacation leave, standard increases as applicable
JOB SUMMARY
We are seeking a skilled DevOps Engineer to join our technology team supporting global content production, post-production, and distribution workflows. The ideal candidate will have a strong background in cloud infrastructure automation, scalable deployment architectures, and Kubernetes cluster management. You will be working closely with our engineering, media operations, and security teams to ensure our platforms can scale dynamically to meet the needs of high-traffic media pipelines and digital distribution systems.
EDUCATION, QUALIFICATIONS AND EXPERIENCE
FORMAL EDUCATION
● Bachelor’s degree, with a preference for Computer Science, Engineering or other technical degree.
PRIMARY AREAS OF RESPONSIBILITY WILL INCLUDE:
● Manage and optimize multi-cluster Kubernetes environments across AWS, GCP, or Azure.
● Implement autoscaling policies and node management strategies for high-availability workloads.
● Maintain service mesh configurations (e.g., Istio or Linkerd) and monitor cluster health.
● Design and maintain infrastructure-as-code (IaC) with Terraform, Helm, or CloudFormation.
● Build and manage automated CI/CD pipelines using GitHub Actions, Jenkins, or GitLab CI.
● Implement and optimize horizontal/vertical scaling for microservices and API workloads.
● Support serverless and hybrid-cloud architectures where applicable.
● Automate routine operational tasks, deployments, and environment provisioning.
● Set up and maintain monitoring, logging, and alerting systems using tools like Zabbix, Grafana, Pagerduty, ELK, or Datadog.
● Continuously improve system reliability and deployment velocity.
● Partner with development teams to containerize applications and ensure production readiness.
● Collaborate with security teams to enforce compliance, patch management, and secrets handling (Vault, AWS KMS, etc.).
● Participate in on-call rotations and post-incident reviews.
EXPERIENCE:
● 3–6 years of experience in DevOps, Site Reliability, or Cloud Engineering roles.
● Strong hands-on experience managing Kubernetes clusters in production.
● Proficiency in one or more public cloud platforms (AWS, GCP, or Azure).
● Experience with IaC tools (Terraform, Helm, or Ansible).
● Strong scripting skills (Python, Bash, or Go).
● Familiarity with containerization (Docker) and CI/CD tooling.
● Experience supporting high-throughput or media-intensive workloads.
● Knowledge of CDN integration, data pipelines, or transcoding workflows.
● Familiarity with cost optimization and cloud performance tuning.
● Exposure to zero-downtime deployment strategies and GitOps practices (ArgoCD, Flux).
● Certifications such as CKA, CKAD, or cloud-specific equivalents.
OTHER:
● You will establish a clear understanding of the company's vision, goals and strategy and actively contribute to the achievement of the goals and execution of the strategy
● You will be a leader in the organization, responsible for both setting the standards for project management and holding the organization accountable to the standards set
● You are results-oriented with a history of consistently meeting deadlines
● You possess a proactive mindset with a focus on continuous improvement
● You possess excellent written and spoken technical English, as well as strong documentation skills
● You are capable of working with distributed teams across software, infrastructure, and content delivery, in a fast-paced, production-oriented environment
LOCATION AND WORK MODEL
● Vancouver / Hybrid — occasional on-site collaboration with studio technology and production teams.
The anticipated base salary for this position is $104,200.00 to $145,000.00/annually. This role may also qualify for annual incentive and/or comprehensive benefits per company policy: including healthcare, tuition reimbursement, RRSP's, sick and vacation leave, standard increases as applicable. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position.
We value unique perspectives, and want diverse, unique talent to work with us. We encourage candidates from all identities to apply.
Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, or other protected characteristics.
Ready to apply?
Apply to Sony Pictures Imageworks
Staff Software Engineer - Fullstack
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Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.
Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.
We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:
- Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
- AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack.
- Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
- Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.
What we look for:
- 10+ years of experience with HTML, CSS, and JavaScript.
- Passion for user experience and design and a deep understanding of front-end architecture.
- Comfortable working towards a multi-year vision with incremental deliverables.
- Motivated by delivering customer value.
- Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
- 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
- Good knowledge of SQL.
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
- Experience developing large-scale distributed systems.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Software Engineer - Backend
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P-1440
Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.
We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:
- Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
- AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack.
- Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
- Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.
What we look for:
- BS (or higher) in Computer Science, related technical field or equivalent practical experience.
- Comfortable working towards a multi-year vision with incremental deliverables.
- Motivated by delivering customer value and impact.
- 5+ years of production level experience in either Java, Scala or C++.
- Strong foundation in algorithms and data structures and their real-world use cases.
- Experience developing large-scale distributed systems.
- Experience working on a SaaS platform or with Service-Oriented Architectures.
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
- Experience with security and systems that handle sensitive data.
- Good knowledge of SQL.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Apply to Databricks
Staff Software Engineer - Backend
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Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.
We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:
- Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
- AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack.
- Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
- Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.
What we look for:
- BS (or higher) in Computer Science, related technical field or equivalent practical experience.
- Comfortable working towards a multi-year vision with incremental deliverables.
- Motivated by delivering customer value and impact.
- 10+ years of production level experience in either Java, Scala or C++.
- Strong foundation in algorithms and data structures and their real-world use cases.
- Experience developing large-scale distributed systems.
- Experience working on a SaaS platform or with Service-Oriented Architectures.
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
- Experience with security and systems that handle sensitive data.
- Good knowledge of SQL.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Staff Platform Engineer (Edge & Ingestion)
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Synthesis Health
Who We Are
We’re a mission- and values-driven company with tremendous dedication to our customers. Our 100% remote team is dedicated to a common goal – to revolutionize healthcare through innovation, collaboration, and commitment to our core values and behaviors.
About the Opportunity
We are looking for a Staff Platform Engineer to serve as the architect of our edge.
In this critical role, you will own the boundary between the world and our platform. You will own the "Customer Edge"—the mission-critical software gateways that run inside hospital networks, acting as the secure bridge for DICOM and HL7 data into our cloud platform.
You will solve unique distributed systems challenges: How do you buffer terabytes of imaging data on-premise when the hospital's internet goes down? How do you safely auto-update thousands of remote agents behind strict enterprise firewalls? How do you enforce fairness and rate limiting to prevent one tenant from degrading the experience for everyone else?
This is a hands-on leadership role. You will write high-performance code, define the architectural patterns for edge ingestion, and mentor engineers on the nuances of network reliability and secure tunneling.
Key Responsibilities
Customer Gateway Architecture & High Availability (HA)
- On-Premise Gateway Reliability: You will architect our edge gateway software to run reliably within customer data centers. You will implement HA patterns to ensure that a single hardware failure never stops critical patient data flow.
- High-Performance Ingestion: You will optimize the ingestion path for massive DICOM studies and HL7 streams. You will implement local queuing and backpressure mechanisms that protect our core platform from being overwhelmed by "thundering herds" of data when connectivity is restored after an outage.
- Versioning & Fleet Management: You will design the control plane for our distributed fleet of gateways. You will solve the "Day 2" operations challenge: architecting automated, over-the-air (OTA) update mechanisms that allow us to patch, upgrade, and version-manage thousands of remote agents without manual intervention or customer downtime.
Cloud Ingestion & Throughput Protection
- Resilient Ingestion Strategy: You will design the cloud-side ingestion layer (using technologies like Kafka or PubSub) to absorb massive bursts of traffic. You will ensure that our architecture can handle "thundering herds" from reconnected agents without dropping a single packet of patient data.
- Load Shedding & Fairness: You will implement sophisticated fairness algorithms and load shedding strategies at the ingestion point to ensure that no single customer gateway can monopolize cloud resources or degrade the performance of the broader platform.
Network & Connectivity Security
- Secure Tunnels: You will design the secure connectivity patterns (e.g., mutual TLS, reverse tunnels, VPNs) that allow our cloud to communicate with private hospital networks without requiring complex firewall exceptions.
- Mentorship: You will be the subject matter expert (SME) on networking and edge computing. You will mentor the team on TCP/IP mechanics, TLS optimization, and low-level network debugging.
What We’re Looking For
- Deep Edge & Networking Experience: 8+ years of engineering experience, with a focus on Edge Computing or Distributed Agents. You understand the physics of the internet, from TCP congestion control to TLS handshakes.
- Hybrid/On-Prem Expertise: You have shipped software that runs in customer environments (on-prem). You understand the constraints of enterprise firewalls, proxies, and limited bandwidth.
- Language Fluency: Deep expertise in Go (Golang) or TypeScript is required.
- Queuing & Streaming: Expert-level knowledge of asynchronous architectures using Google Cloud Pub/Sub, Dataflow, or Kafka. Given our GCP environment, deep proficiency with Pub/Sub and Dataflow is highly preferred. You understand backpressure and how to design for eventual consistency.
- Containerization: Experience distributing software via Docker/Kubernetes and managing container lifecycles in remote environments.
Preferred Qualifications
- Healthcare Interoperability: Deep, hands-on experience building integrations against DICOM (C-STORE, DIMSE services) or HL7 MLLP protocols. You understand the nuances of the association negotiation, transfer syntaxes, and strict acknowledgment requirements necessary to reliably accept data from legacy hospital systems.
Why You Should Join Us
- Solve Our Toughest Puzzles: This is a high-leverage role. You will be working on the most impactful technical challenges that are critical to the company's success.
- Define the Architecture: You won't just be maintaining a system; you will be a primary author of its future state, with the autonomy to make it happen.
- Lead from the Front: This is a chance to establish yourself as a key technical voice in a rapidly growing company.
- Competitive Compensation & Benefits: We offer a strong salary, a 100% remote culture, and significant opportunities for growth.
We are a values-driven company. Our values:
- Clinical service first.
- Collaborate with our customers.
- Listen, respect, learn.
- Innovate to excel.
The behaviors we look for:
- Be nice.
- Be creative.
- Be honest.
- Be helpful.
Compensation and Benefits
Typical salary range for this position is $120,000 - $150,000 (CAD). However, Synthesis participates in location based hiring and salary ranges can be adjusted based on candidate's residence.
Other benefits include, but are not limited to: Medical, Dental, Vision, “Use as needed” vacation policy, and participation in our employee option program.
Ready to apply?
Apply to Synthesis HealthSr. Platform Engineer
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Synthesis Health
Who We Are
We’re a mission- and values-driven company with tremendous dedication to our customers. Our 100% remote team is dedicated to a common goal – to revolutionize healthcare through innovation, collaboration, and commitment to our core values and behaviors.
About the Opportunity
We are looking for an experienced Sr. Platform Engineer to help build the next generation of our cloud-native healthcare platform. You will be a key technical contributor, responsible for designing, building, and owning critical components that form the backbone of our systems. You will focus on improving the scalability, performance, and reliability of our services, enabling our product teams to deliver innovative features to our customers faster and more securely.
If you are a builder who thrives on solving complex distributed systems problems, enjoys mentoring others, and wants to make a significant impact on healthcare, this is the perfect opportunity for you.
Key Responsibilities
- Design and Build Core Platform Services: Design, develop, and maintain scalable, resilient, and secure platform components and microservices that are critical to project success and product capabilities.
- Drive Performance and Reliability: Promote and implement best practices for observability, monitoring, and performance testing. You will analyze and optimize application-level performance for our critical workflows, ensuring they meet strict uptime and speed requirements.
- Improve System Architecture: Contribute to the analysis of our platform architecture, helping to identify performance bottlenecks, improve data and caching flows, and simplify architectural complexity.
- Elevate Code Quality: Write clean, maintainable, and well-tested code for core platform services. You will set a high standard for code quality and testing within the team by leading design reviews and providing constructive feedback.
- Lead with Technical Expertise and Mentorship: Formally or informally mentor junior engineers, helping to level up the team through code reviews, knowledge sharing, and hands-on guidance. You will significantly influence your team's technical direction and decisions.
- Create Excellent Documentation: Produce clear, high-quality architectural diagrams and technical documentation for the components you own, contributing to the team's shared knowledge base.
What We’re Looking For
- Experience in Distributed Systems: 5+ years of software engineering experience with a strong track record of designing, building, and operating scalable and high-performance services.
- Strong Architectural and Design Skills: You can independently tackle complex technical challenges within your domain, architecting robust solutions and making sound technical trade-offs with minimal guidance.
- Performance and Debugging Expertise: You have hands-on experience instrumenting and debugging performance issues across a full stack—from application code and databases to caching layers and infrastructure—using modern performance profiling and monitoring tools.
- Hands-On Expertise with Modern Tech Stacks: You have practical knowledge of the principles and technologies behind our platform:
- Microservices, event-driven design, and distributed architectures.
- Cloud platforms (GCP preferably), with hands-on experience in Docker and Kubernetes (e.g., GKE, Cloud Run).
- Expertise across relational and NoSQL databases (e.g., PostgreSQL/AlloyDB, MongoDB, Redis) and data warehousing (e.g., BigQuery).
- Real-world experience with Pub/Sub messaging systems (e.g., Google Cloud Pub/Sub, Kafka).
- Statically typed languages (e.g., TypeScript, Go, C/C++, Java, Rust).
- Gitflow branching model.
- Clarity in Communication: You can clearly articulate complex technical ideas to both technical and non-technical stakeholders. Your diagrams and documents are a source of clarity.
- Leadership Through Influence: You have a demonstrated ability to influence your team's technical direction, driving consensus, and elevating the bar for engineering excellence.
Preferred Qualifications
- Healthcare Domain Experience: While engineering excellence is paramount, your application will stand out if you have experience in regulated industries. Deep familiarity with healthcare data standards (DICOM, HL7) and compliance regulations (HIPAA) is a significant advantage.
Why You Should Join Us
- Solve Challenging Problems: This is a high-leverage role. You will be working on impactful technical challenges that are critical to the company's success.
- Build the Future of Healthcare: You won't just be maintaining a system; you will be a primary builder of its future state, with the autonomy to own major components.
- Make a Major Impact: This is a chance to establish yourself as a key technical voice on a team that is transforming healthcare.
- Competitive Compensation & Benefits: We offer a strong salary, meaningful equity, a 100% remote culture, and significant opportunities for growth.
We are a values-driven company. Our values:
- Clinical service first.
- Collaborate with our customers.
- Listen, respect, learn.
- Innovate to excel.
The behaviors we look for:
- Be nice.
- Be creative.
- Be honest.
- Be helpful.
Compensation and Benefits
Typical salary range for this position is $85,000 - $110,000. However, Synthesis participates in location based hiring and salary ranges can be adjusted based on candidate's residence.
Other benefits include, but are not limited to: Medical, Dental, Vision, “Use as needed” vacation policy, and participation in our employee option program.
Ready to apply?
Apply to Synthesis HealthLater is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.
Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.
By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com.
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 CAD
#LI-Hybrid
Where we work:
We have offices in Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.
Diversity, inclusion, and accessibility:
At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.
Ready to apply?
Apply to Later
Strategic Account Executive - N.A. [REMOTE]
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Upbound is redefining how modern infrastructure is built for the Agentic AI Era. We’re the creators and primary maintainers of Crossplane, and we’re building the Intelligent Control Plane—a new platform layer that makes infrastructure programmable, autonomous, and composable.
Our mission is to power the AI-native enterprise with a foundational platform layer that helps teams provision, operate, and adapt infrastructure at scale—so platforms are ready for both humans and AI agents. We partner with leading cloud providers, ISVs, and open-source communities to help organizations move faster with greater confidence.
Today, Upbound supports Fortune 500 companies and platform engineers across 100+ countries. Crossplane has surpassed 100M+ downloads and is used by 1,000+ teams worldwide. We’re a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, and we’ve raised $69M to date. Learn more at upbound.io.
The Strategic Enterprise Account Executive role is an outside sales position responsible for developing, managing, and closing business for Strategic Enterprise customers in the North America region and is an integral part of the field sales organization. This person will partner with our demand generation, solutions engineering, and product teams to guide prospective customers through a solutions sales journey of modernizing their cloud platform architecture. This position will require you to develop a deep understanding of the specific challenges customers are facing to help them positively achieve their business outcomes with Upbound’s solutions.
This role will work cross-functionally with product, marketing, sales development and customer success to provide a tight-knit customer relationship, account leadership and direction in both the pre-sales and post-sales processes.
In this role, you will:
- Carry a sales quota that aligns with Upbound’s revenue goals.
- Function as the primary point of contact and the face of Upbound for new prospects and customers.
- Conduct sales activities including prospecting and developing opportunities within existing customer accounts.
- Manage complex strategic enterprise sales motions with multiple prospect engagement points.
- Ensure the successful rollout and adoption of Upbound products and services in partnership with pre-and-post sales engineering and support.
- Take ownership of your business by documenting the buying criteria, process, and owners to ensure pipeline accuracy.
- Look for and implement improvements to sales processes, tools, and materials.
- Travel to customer sites and industry conferences and events as needed.
You are a good fit if you have:
- Proven track record of consistently meeting or exceeding assigned annual/quarterly goals and targets and consistently ranked top 1-2 on your team.
- Sold to large enterprise G2K companies and adept at navigating global, multi-national organizations.
- Sold AI, Cloud, or Infrastructure platform oriented products.
- Experience in solution and value selling in the enterprise cloud, cloud-native, and AI product spaces
- Correctly estimate qualifying opportunities based on MEDDICC.
- Drive to build a business, hunger to find and close deals, and pride in the growth of the business.
- Relentless focus on customer success and meeting the needs of present and future customers.
- Experience building positive professional relationships with senior IT and business executives.
- Clear and articulate written, verbal, online, and in-person communication skills.
- Professionalism, polish, attention to detail, and strong follow-up.
- A collaborative mindset and willingness to help solve problems outside of your immediate lane.
- Fun in your job and enjoy what you do.
It’s a plus if you:
- Strong understanding of cloud-native infrastructure, AI solutions, and/or Infrastructure as Code tooling (Terraform, Ansible, Chef).
- Significant experience selling disruptive technology into focused markets.
#LI-REMOTE
Why Upbound?
At Upbound, you’ll help shape the systems and strategies that drive predictable, scalable growth in a product-led company embracing usage-based models. If you're excited to build from the ground up, work with cutting-edge cloud technologies, and directly impact how revenue is generated and scaled—this is your seat at the table.
About Upbound
Upbound is pioneering infrastructure platforms for the Agentic AI Era, serving Fortune 500 companies and platform engineers across more than 100 countries. The company empowers infrastructure and platform teams with Intelligent Control Planes - based on Kubernetes and Crossplane - that provision, operate, and adapt so platforms are ready for both humans and AI agents. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide. A Series B startup backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, Upbound has raised $69M to date. For more information, visit www.upbound.io.
Ready to apply?
Apply to Upbound - Job Posting
Staff Software Engineer, Infrastructure
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Who we are:
MasterClass is the streaming platform where the world’s best come together so anyone, anywhere, can access and be inspired by their knowledge and stories. We put you in the room with the creators, thinkers, makers and leaders who have changed the world, so that you can change yours.
Members get unprecedented access to 200+ instructors and classes across a wide variety of fields, including Arts & Entertainment, Business, Design & Style, Sports & Gaming, Writing and more. Step into Nas’ recording studio and Gordon Ramsay’s kitchen, and go behind the big screen with James Cameron. Design your career with Elaine Welteroth, get ready to win with Lewis Hamilton, perfect your pitch with Shonda Rhimes and discover your inner negotiator with Chris Voss.
We’re a remote-first workforce with collaborative work spaces in San Francisco and Kitchener, Ontario, and employees in several U.S. states. If you’re interested in joining a dynamic, culture-driving company—where learning invaluable
skills is all in a day’s work—we invite you to apply.
Snapshot of the Role:
We’re looking for a Staff Infrastructure Engineer who operates as a technical leader and force multiplier across the platform. This is a senior individual contributor role for someone who designs systems that scale beyond a single team, sets technical direction, and elevates how infrastructure is built and operated across MasterClass.
You’ll lead and provide direction for cloud infrastructure, developer platforms, video infrastructure, and emerging AI/ML infrastructure—partnering closely with product engineering, content production, data, and AI teams. This role is ideal for someone who combines deep systems expertise with strong software engineering, thrives in ambiguity, and takes ownership from strategy through execution.
This is not a people-management role, but it carries significant technical leadership responsibility.
What You Will Do:
- Set technical direction for core infrastructure systems, balancing reliability, scalability, security, and developer velocity.
- Design and lead implementation of complex, cross-team infrastructure initiatives (AWS, EKS, CI/CD, shared platforms).
- Build production-grade software to power infrastructure automation, tooling, and internal platforms.
- Drive org-wide improvements in observability, incident response, reliability engineering, and cost efficiency.
- Lead video infrastructure initiatives to evolve video delivery and CDN strategies for global scale and performance.
- Partner with AI and Data teams to define and build GPU-powered infrastructure, model-serving platforms, and GenAI inference/training workflows.
- Act as a technical mentor and reviewer, raising the bar for infrastructure design and operational excellence across teams.
- Lead by example during incidents, postmortems, and critical architectural decisions.
About You (Requirements):
- 10+ years building and operating cloud-native production systems.
- Strong expertise in:
- AWS architecture and large-scale cloud operations
- Kubernetes / EKS (networking, RBAC, Helm, autoscaling, cluster-level debugging)
- Infrastructure as Code (Terraform preferred)
- CI/CD and automation (GitHub Actions, Argo, or similar)
- Proven ability to design and build infrastructure software, not just operate systems.
- Deep understanding of distributed systems, networking, Linux internals, and cloud security.
- A track record of driving step-function improvements in reliability, scalability, or developer experience.
- Strong written and verbal communication skills; able to influence technical decisions across teams.
Who You Are
- You think in systems and leverage, not just tasks.
- You care deeply about craftsmanship, clarity, and long-term maintainability.
- You enjoy solving ambiguous, cross-functional technical problems.
- You’re pragmatic—you optimize for impact over novelty.
- You raise the bar through mentorship, design reviews, and thoughtful collaboration.
- You’re energized by both strategic architecture and hands-on implementation.
Nice To Haves
- AI/ML infrastructure, GPU scheduling, or distributed training
- Model serving frameworks (e.g., Triton, vLLM, TensorRT-LLM)
- Infrastructure autoscaling strategies, including application workloads, databases, and GenAI workloads
- KEDA, Karpenter, service mesh, or multi-cluster architectures
- HLS/DASH packaging or video encoding pipelines
Nice-to-haves are not required; each represents a direction in which our infrastructure is evolving.
At MasterClass, we believe we put our best work forward when our employees bring together ideas that are diverse in thought. We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. In addition, MasterClass will provide reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, we would like to know how we can better accommodate you.
The salary range listed is for candidates in Ontario, Canada. As a company, we have a location based strategy, which means the disclosed range estimate has been adjusted for geographic differential associated with the location where the position may be filled.
MasterClass’s salary ranges are based on paying competitively for our size and industry. In addition to salary, we also offer equity and comprehensive benefits (medical, dental, vision, flexible PTO, and more). The range listed is for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.
Ready to apply?
Apply to MasterClass