Our Database Experience (DBX) Team

The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users.

For this role, we're looking for someone who would enjoy designing, writing, and supporting open-source libraries using MongoDB. You will have the opportunity to work with other veteran Java programmers, as you deepen your knowledge of the Java ecosystem, and help streamline and increase the adoption of MongoDB.

We are looking to speak to candidates who are based near one of our Canada office for our hybrid working model.

You might be right for this role if you

• Have 4+ years of experience writing high-quality software
• Have experience implementing libraries or applications in Java, or other languages that run on the JVM
• Are fascinated by, and have experience working with concurrency, parallelism and distributed systems
• Want to participate in open-source software development and communities
• Communicate well, internally and externally, both in writing and face-to-face
• Advocate for testing and modern development best practices
• Can make pragmatic design tradeoffs while balancing features, maintainability, and delivery time
• Elevate the skills and expertise of those around you
• Are excited by our mission and values

 You'll be on the team responsible for

• Java driver, Java Reactive Streams Driver, Scala Driver, Kotlin Driver, Spark Connector, and other JVM-based projects
• Integrations with other open-source software, such as ORM frameworks and AI tools
• Testing, delivering and supporting the above across multiple operating systems, JDKs, and MongoDB releases

You'll have responsibilities beyond writing code, including

• Working with our Product, Server, Cloud, and other driver teams on designs and specifications for new customer-facing MongoDB features
• Investigating bugs and support requests from commercial and open-source customers for the libraries and tools our team maintains
• Seeking out speaking or writing opportunities to engage with our developer community
• Mentoring junior engineers in both technical and non-technical professional skills

Success in this role means

• Within three months, you will contribute effectively day-to-day, fix bugs, implement planned features, and thoroughly review your colleagues’ pull requests
• Within six months, you will confidently lead projects, provide mentorship and technical guidance to colleagues, and contribute to process improvements
• Within a year, you will demonstrate strong technical ownership, influence team and product growth through effective communication and collaboration, and contribute to high-impact product enhancements

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: 3263228272

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.

Engineering

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

What you’ll do

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

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

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

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

Where you’ll work

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

Responsibilities

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

Requirements

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

Bonus points

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

Compensation

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

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

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

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

What you’ll do 

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

Skills you’ll bring 

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

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

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

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

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

Learn more about our Product and Engineering team

The Impact You'll Have

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

Who You Are

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

Nice-To-Haves

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

Our (typical) process:

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

Compensation and Benefits

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

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

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

Along with monetary compensation, Marqeta offers

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

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

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

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

Candidate Profile

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

Responsibilities

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

Bonus points if the candidate has experience with:

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

Success Measures

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 1273376291

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

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

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

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

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

Responsibilities:

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

 Qualifications:

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

Benefits

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

 #LI-Hybrid

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.

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

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

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

What you’ll achieve

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

About you

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

What we’ll offer

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

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

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

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

#LI-Hybrid #LI-HC1

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

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

WHAT YOU’LL DO: 

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

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

WHAT YOU’LL NEED:

• A degree in Computer Science or Engineering, and at least 5 years of experience in an SRE, DevOps or software engineering role and a track record of substantial contributions to software projects with high business impact
• Experience with mentoring, coaching, and pairing with coworkers
• Experience writing clean code that performs well at scale and an understanding of SaaS software development practice; Ideally you have experience working on a SaaS product
• Experience using infrastructure-as-code tools to build and run cloud infrastructure
• Experience with operating, building and maintaining cloud infrastructure and a working knowledge of Linux systems administration, including troubleshooting system-level issues, networking (L3-L7) and basic monitoring is preferred
• Collaboration and Teamwork: works with others to deliver results, meaningfully contributing to the team and prioritizing group needs over individual needs
• Creativity and Innovation: seek new and better ways of doing things, generating original and imaginative ideas, products, and/or solutions
• Problem Solving: uses an organized and logical approach to find solutions to complex problems and looks beyond the obvious to understand the root cause of problems and proposes several possible solutions.
• Resilience, Tolerance for Change/Ambiguity: can effectively cope with change, finding ways to advance work and projects

WHO YOU ARE:

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

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

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

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

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

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

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

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

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

#LI-NS1 #LI-Remote

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

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

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

The Impact You’ll Have

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

Who You Are

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

Nice to have

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

Manager

• Sandeep Chotwani

Recruiter for this role

• Kayla Osuna

Compensation and Benefits

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

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is: 136,800 - 171,000

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

Along with monetary compensation, Marqeta offers

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

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

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

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

The Impact You’ll Have

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

Who You Are

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

Nice to have

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

Manager

• Sandeep Chotwani

Recruiter for this role

• Kayla Osuna

Compensation and Benefits

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

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is: 136,800 - 171,000

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

Along with monetary compensation, Marqeta offers

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

THE ROLE:

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

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

WHAT YOU’LL DO:

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

WHAT YOU BRING:

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

#LI-REMOTE

#LI-JL4

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

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

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

What you bring:

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

What you’ll be doing

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

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

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

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

World-class benefits, flexibility, and growth opportunities

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

Opportunities to make a social Impact through technology and innovation

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

#LI-HYBRID

P24217

Overview of Role

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

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

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

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

Responsibilities

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

Qualifications

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

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

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

What you’ll achieve

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

About you

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

What we’ll offer

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

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

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

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

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

#LI-Hybrid

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.

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.

Role Overview

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

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

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

Key Responsibilities

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

Basic Qualifications

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

Preferred Qualifications

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

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

Your role
We are seeking a talented, experienced Full-Stack Engineer who is passionate about building high-quality, scalable web applications with modern frontend and backend technologies. You will own significant features end-to-end, tackle technical hurdles, and enrich the team with your engineering experience, including mentoring junior engineers. You will guide projects with multiple engineers collaborating to deliver major features. You will work jointly in a cross-functional team, including close collaboration with Product Managers to advocate for technical initiatives for the team.

What you’ll do 

• Develop and maintain Dialpad's web & desktop applications using modern technologies.
• Collaborate with the data science team to build a world-class Agentic AI framework.
• Be able to use AI tools like Claude, Gemini, etc., to build world-class features quickly.
• Write clean, modular, and maintainable code using best practices along with unit tests.
• Participate in code reviews to ensure code quality, maintainability, and scalability.
• Ensure that features are shipped on time and with the highest quality.
• Take on on-call activities to support and resolve issues from QA and customers.
• Be responsible for deploying new releases on a weekly release cadence.
• Collaborate with cross-functional teams (e.g., DevOps, QA, Product, UX) to build and use common components and practices across Dialpad products.
• Mentor junior engineers and help them grow their skills and expertise.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.

Skills you’ll bring

• 6-10 years of experience in full-stack software engineering.
• Strong experience in writing high-performance, reusable, and reliable Python code.
• Strong experience with RESTful APIs.
• Strong experience in modern cloud platforms like GCP or other cloud infrastructures.
• Strong experience in documentation for architectural designs, technical decisions, and best practices.
• Experience with modern frontend frameworks such as Vue/React, as well as HTML, CSS, JavaScript, and TypeScript.
• Experience with databases, SQL/NoSQL.
• Experience in mentoring junior engineers and helping them grow their skills.
• Experience with Agile development methodologies.
• Strong debugging and troubleshooting skills.
• Strong communication and collaboration skills.

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.

Your role
At Dialpad, we are building the future of AI-driven communication. As a Software Development Engineer in Test (SDET), you will lead the charge in building scalable, world-class mobile test automation frameworks that empower our engineering teams to ship with confidence and speed.

We are looking for a quality advocate who bridges development and testing. You bring excellent written and verbal communication skills and the ability to collaborate with a geo-distributed team on a shared vision. You will enhance and maintain mobile testing frameworks, lead design decisions, and work closely with other senior developers.

This position reports to a Quality Engineering Manager in the USA.

What you’ll do

• Design and optimize high-performance mobile automation frameworks (iOS/Android) that are fast, reliable, and scalable.
• Maintain performant and reliable CI/CD pipelines.
• Independently analyze test results and investigate failures to identify potential root causes and provide detailed reports.
• Build advanced reporting and tools to provide real-time visibility into product health and failure patterns.
• Develop and execute system performance testing against a variety of systems.
• Work closely with mobile engineers, QA partners, and product teams to ensure features are testable and automation-ready.
• Develop and execute a comprehensive test strategy.
• Perform functional, regression, and performance testing using automation tools.
• Lead the AI Frontier and integrate AI-powered tooling into the testing lifecycle to accelerate defect detection and script generation.
• Advocate for doing the right thing even if it’s difficult.

Skills you’ll bring

• 4+ years of experience as an SDET, Software Engineer, or Test Automation Engineer in SaaS environments.
• Strong programming experience in any top language, such as Python or Java.
• Experience with AI code generation, subagents, and modern code generation workflows.
• Deep, hands-on experience building scalable frameworks from scratch. The ability to articulate complex technical trade-offs to both engineers and non-technical stakeholders across global time zones.
• Highly organized with excellent written and verbal communication skills.
• Experience with cloud-based mobile device testing platforms like LambdaTest, BrowserStack, etc.
• Direct experience applying testing methodologies, including regression, integration, and performance testing
• Extensive knowledge of cloud technologies, including the testing of REST services.
• Strong people skills, as you'll work with other teams in different geographies.
• The "Plus" Factor includes: Experience with mobile programming languages Kotlin or Swift. Application of UX/Accessibility standards and a proactive approach to using Generative AI to optimize development workflows.

Your role
At Dialpad, we are building the future of AI-driven communication. As a Software Development Engineer in Test (SDET), you will lead the charge in building scalable, world-class mobile test automation frameworks that empower our engineering teams to ship with confidence and speed.

We are looking for a quality advocate who bridges development and testing. You bring excellent written and verbal communication skills and the ability to collaborate with a geo-distributed team on a shared vision. You will enhance and maintain mobile testing frameworks, lead design decisions, and work closely with other senior developers.

This position reports to a Quality Engineering Manager in the USA.

What you’ll do

• Design and optimize high-performance mobile automation frameworks (iOS/Android) that are fast, reliable, and scalable.
• Maintain performant and reliable CI/CD pipelines.
• Independently analyze test results and investigate failures to identify potential root causes and provide detailed reports.
• Build advanced reporting and tools to provide real-time visibility into product health and failure patterns.
• Develop and execute system performance testing against a variety of systems.
• Work closely with mobile engineers, QA partners, and product teams to ensure features are testable and automation-ready.
• Develop and execute a comprehensive test strategy.
• Perform functional, regression, and performance testing using automation tools.
• Lead the AI Frontier and integrate AI-powered tooling into the testing lifecycle to accelerate defect detection and script generation.
• Advocate for doing the right thing even if it’s difficult.

Skills you’ll bring

• 4+ years of experience as an SDET, Software Engineer, or Test Automation Engineer in SaaS environments.
• Strong programming experience in any top language, such as Python or Java.
• Experience with AI code generation, subagents, and modern code generation workflows.
• Deep, hands-on experience building scalable frameworks from scratch. The ability to articulate complex technical trade-offs to both engineers and non-technical stakeholders across global time zones.
• Highly organized with excellent written and verbal communication skills.
• Experience with cloud-based mobile device testing platforms like LambdaTest, BrowserStack, etc.
• Direct experience applying testing methodologies, including regression, integration, and performance testing
• Extensive knowledge of cloud technologies, including the testing of REST services.
• Strong people skills, as you'll work with other teams in different geographies.
• The "Plus" Factor includes: Experience with mobile programming languages Kotlin or Swift. Application of UX/Accessibility standards and a proactive approach to using Generative AI to optimize development workflows.

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.

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.

MUST HAVE:

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

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

YOUR ROLE

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

OUTCOMES

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

COMPETENCIES

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

MUST HAVE:

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

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

YOUR ROLE

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

OUTCOMES

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

COMPETENCIES

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

About the role:

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

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

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

You should apply if:

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

In this role, you will:

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

Minimum requirements for the role:

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

An ideal candidate also has:

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

About this position:

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

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

What you'll be doing:

Strategy

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

Technical/ Execution

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

Team / Collaboration

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

Research/Best Practices

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

What success looks like:

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

What you bring:

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

How you work: 

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$ 145,000 -165,000 

#LI-remote

About this position:

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

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

What you'll be doing:

Strategy

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

Technical/ Execution

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

Team / Collaboration

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

Research/Best Practices

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

What success looks like:

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

What you bring:

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

How you work: 

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$ 145,000 -165,000 

#LI-remote

About this position:

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

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

What you'll be doing:

Strategy

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

Technical/ Execution

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

Team / Collaboration

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

Research/Best Practices

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

What success looks like:

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

What you bring:

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

How you work: 

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$ 145,000 -165,000 

#LI-remote

Mission

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

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

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

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

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

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

Overview

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

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

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

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

The Opportunity

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

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

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

What You'll Do

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

You will:

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

Must-Have Qualifications

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

Software Engineering Fundamentals

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

Data Engineering

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

Cloud and Infrastructure

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

Background and Mindset

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

Nice to Have

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

Core Technical Stack

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

Ideal Profile

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

Why This Role Matters

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

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

#LI-AR2

#LI-REMOTE

Role Overview 

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

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

What Success Looks Like: 

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

Key Responsibilities 

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

Basic Qualifications 

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

Preferred Qualifications 

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

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

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

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

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

Basic Qualifications 

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

Required Experience 

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

Preferred Experience 

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

What You’ll Gain 

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

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

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

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

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

Who are we? 

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

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

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

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

What you’ll do:

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

AI and Modern Development Practices

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

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

What You'll Have:  

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

Technology Stack & Tools

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

Why us for your next career adventure?  

💵 Fair compensation

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

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

Our compensation package also includes:

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

💆‍♂️ Flexibility and time off

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

🩺 Health and wellness

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

🤝 A great place to work you can be proud of

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

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

Our values at Rival:

• Courage
• Results
• Energy
• Kinship

The not-so-fine-print 🧐

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

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

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

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

No recruiters and no phone calls, please!

Role Description

You will be joining our Delivery Engineering team. You will work closely with the other software developers to deliver products on time and to quality while managing and communicating risks. To do this, you will design and implement new automated test frameworks (integration / system level testing rather than unit level tests), manage projects and test plans, write test tools, and have a passion for finding bugs through exploratory test methods and spotting the edge cases the developers have missed!

This role is hybrid based in Vancouver

Salary range: CA$120,000 to CA$145,000 + stock options

REQUIREMENTS

5+ years of industry experience in software development, quality engineering and/or DevOps.

Experience should include:

• Container technologies such as Docker and Kubernetes (highly desired).
• A breadth of programming languages, SDKs and test frameworks - Go (Golang) or Python experience is highly desirable.
• Defining and implementing end-to-end CI pipelines, automated test frameworks, and automated tests.
• Shell scripting, GNU makefiles, and Linux sysadmin / networking.
• Project management and team leadership.
• Having worked with many of the following: Terraform, Ansible, Jenkins, SemaphoreCI, Ginkgo, GCP, AWS, GKE, EKS, AKS, Rancher, and OpenShift.

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

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

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

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

Responsibilities:

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

Requirements:

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

Benefits:

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

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

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

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

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

Responsibilities:

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

Requirements:

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

Benefits

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

About Your Role

We are looking for passionate and skilled software engineers to join us in our mission to secure the next generation of cloud-native applications. At the heart of our strategy is a set of open-source networking and security projects that define the new gold standard for application connectivity within large-scale cloud environments, such as Kubernetes, Docker, and related technologies. Building upon this open-source foundation, we are working on complementary commercial offerings to help enterprises build and operate cloud-native applications and infrastructures, securely and at scale.

You will be joining a team that is highly engineering-focused with a culture that values diversity, collaboration, agility, and innovation, keeping us one step ahead in the exciting and fast moving cloud-native technology space.

For this role, we are looking to hire in Vancouver (Hybrid).

Vancouver Salary Range: CAD $125,000 to CAD $150,000

Salary Range: 

You Will

• Be an active member of an engineering team working on tasks as part of release sprints
• Enhance and build new functionality in Golang
• Take responsibility (along with the team) for the entire development process of the features you are working on, including design, coding, testing, and releasing to production

You Have

5+ years of product-oriented software engineering experience

• Experience with distributed systems development
• Experience with one or more of the following areas and technologies: Kubernetes, Docker/containers, Networking.
• Hands-on experience with backend development languages like Golang (preferred), C, C++, Java, Kotlin, Python, etc.
• A drive to get things done in a highly collaborative, agile development environment
• A BS in CS or related/similar degree (equivalent experience may suffice)

Nice-to-Have

• Past experience with using storage technologies such as MongoDB or Elasticsearch.
• Any knowledge around prometheus and grafana.
• Any experience with GitOps methodologies and ArgoCD.
• Experience developing, securing, or operating cloud-scale applications or infrastructure.
• Ability to travel occasionally to attend conferences and to work with partners, customers, and colleagues in other offices

Data Platform Solution Architect

Who We Are: 

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

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

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

This Role:

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

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

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

Key Responsibilities

Solution Architecture & Design

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

Pre‑Sales & Assessments

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

Delivery & Technical Leadership

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

Governance, Security & Optimization

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

Partner & Practice Enablement

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

Required Qualifications

Technical Experience

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

Consulting & VAR Experience

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

Communication & Collaboration

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

Preferred Certifications

Microsoft (preferred)

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

Databricks

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

Cloud & Architecture (Nice to Have)

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

What Success Looks Like (First 12 Months)

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

Why Quadbridge? 

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

Salary range

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

Work Schedule:

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

Permanent, full-time, hybrid or remote

Location:

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

Application Deadline  

June 30, 2026

Ce poste est également affiché en français. 

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

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

Your Role at impact.com:

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

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

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

What You'll Do:

Yield Optimization & Pricing Models

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

Inventory Allocation & Supply Optimization

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

Data Architecture & Feature Engineering

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

Real-Time Inference & Production ML

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

Experimentation & Performance Measurement

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

Self-Learning Systems & Feedback Loops

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

Cross-Functional Collaboration

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

What You Bring:

Required

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

Preferred / Nice to Have

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

What Sets You Apart

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

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

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

Benefits and Perks: 

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

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

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

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

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