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.

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

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

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 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

The Security Product Management team is vital in safeguarding customer trust and making data security a market differentiator that enables MongoDB to succeed in enterprise and regulated industries. Our team's scope is broad and critical, covering a range of features, including Networking, IAM, Data Governance, Encryption, Compliance, and Auditing.

This role can be based out of our Toronto office or remotely in North America.

Responsibilities

• In this role, you will be a key member of security product management making data security a market differentiator that enables MongoDB to succeed in enterprise and regulated industries
• Build a vision for best-in-class data security features such as Resource Policies, Secure by Default at MongoDB, and other security and privacy features that minimize exposure to unauthorized access and risk of data loss. 
• Partner with engineering to develop a prioritized product roadmap and backlog to execute against that vision.
• Deeply understand all aspects of the business - to ensure a business outcome aligned with our broader product, customer, and company goals
• Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry
• ​​Partner with engineering, legal, research, product marketing, support, sales, and security teams to deepen customer trust as they use MongoDB for their most critical data workloads
• Define and implement key performance indicators (KPIs) and success metrics for security initiatives, ensuring alignment with business objectives and product goals

Requirements

• 5+ years of product management or equivalent experience in enterprise security or platforms
• Experience working with security focused engineers in a diverse team
• Domain expertise in data security
• Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.
• Excellent written and verbal communication skills, including experience presenting to executive leadership
• Proven ability to define and deliver successful product strategies and roadmaps
• Demonstrated experience in defining technical product requirements into an actionable product roadmap
• Understanding of various public cloud providers such as AWS, Azure, and GCP
• Comfortable with stage presence and public speaking
• B.Sc. in Computer Science, or equivalent experience

Nice to have

• Certifications or similar evidence of professional milestone completion and continuous training (such as: CISSP, CompTia Security+, SANS, etc.)
• Community support and participation to advance data and cloud security such as conference or meetup panels and blog or paper authorship
• MBA, M.Sc.+ or equivalent in relevant domain

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: 4263343037

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 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.

Here at ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are a take charge, take initiative, get stuff done individual, we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfill the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenues.

About the Role

This is a rare opportunity to architect and own ZoomInfo's global Solutions Partner Program from the ground up. As the founding voice of this program, you'll shape how ZoomInfo's consulting and implementation partners deliver, scale, and succeed — directly influencing customer outcomes worldwide.

This is a high-impact individual contributor role with significant visibility and cross-functional influence across ZoomInfo's Partner, Sales, Services, and Executive teams. Reporting to the Sr. AVP of Partnerships, you will work closely with ZoomInfo's Solutions Team to ensure the program is built in alignment with ZoomInfo's overall partner strategy.

If you're a self-starter who thrives on building structure where none exists and wants to make a measurable impact on how ZoomInfo's partners succeed globally — we'd love to hear from you.

What You’ll Do:

• Buld and own ZoomInfo's global Solutions Partner Program, recruiting new partners and establishing the frameworks that drive partner-led implementation quality and customer adoption
• Elevate partners' technical competency and mature their ZoomInfo services practice through structured enablement and repeatable delivery frameworks
• Contribute actively to the evolution of ZoomInfo's broader partner program and go-to-market strategy
• Collect qualitative and quantitative data to measure and report on individual partner performance, ensuring a high standard of implementation quality across top partners
• Drive partner business planning, QBRs, and performance assessments to maintain strategic alignment and accountability
• Own and manage partner interactions across ZoomInfo's internal teams — including Marketing, Product, Pre-Sales, Sales, Services, Enablement, Customer Success, Partner Operations, and Executive Leadership
• Work with the partner team, delivery, and account teams to ensure the proper program elements, resources, and processes are in place to support solutions partners' success
• Serve as a trusted advisor and player/coach to ZoomInfo's solutions partners as the program scales
• Maintain accurate partner records and CRM hygiene across Salesforce and internal tools to ensure operational excellence
• Support partners and internal stakeholders with ad-hoc requests as needed, including legal agreement support, webinars, and collateral development

Core systems and tools: Salesforce, Jira, Confluence, GSuite, Netsuite, Snowflake, GCP, AWS, and additional tools within these ecosystems

What you Bring:

• 5–8 years of experience working with and managing solutions partners in a SaaS environment
• Experience building or scaling a partner program, enablement curriculum, or implementation methodology from an early stage
• Demonstrated success driving partner-sourced or partner-influenced revenue growth
• Existing SI partner relationships and an established network within the ecosystem
• Strong strategic business and marketing planning capabilities
• Excellent interpersonal skills with a proven ability to build positive relationships and influence outcomes through partners
• Proven ability to work cross-functionally across Sales, Services, Product, and Executive stakeholders
• Self-motivated with strong self-management skills and demonstrated leadership qualities as an individual contributor
• Familiarity with SaaS go-to-market motions and the partner ecosystems that support them

What Working at ZoomInfo Brings You:

• Build something that matters: define a program with global reach and lasting impact on how ZoomInfo's partners succeed
• Visibility and influence: Direct access to executive leadership and cross-functional strategy at a market-leading SaaS company
• A culture that is independently driven with a strong team mentality, where your work is recognized and valued
• Competitive compensation and benefits, including a comprehensive package designed to reward high performers
• A clear path to expand your scope and influence within the Partnerships organization as the program scales

About us: 

Built over 20 years ago, ZoomInfo Powered by DiscoverOrg has become the go-to-market standard for over 13,500 companies worldwide. Designed to be the single source of truth, the ZoomInfo platform offers best-in-class technology paired with unrivaled data coverage, accuracy, and depth of contacts, companies, and opportunities essential to empower sales, marketing and recruiting professionals to hit their numbers. Deeply embedded into business workflows and technology stacks-- including integrations with the leading CRM, Sales Engagement, Marketing Automation, and Talent Management applications - ZoomInfo is capable of delivering more predictable, accelerated, and sustainable growth than any stand-alone solution. ZoomInfo’s investors include TA Associates, The Carlyle Group and 22C Capital.

For more information about our leading marketing and sales intelligence solution, visit www.zoominfo.com.

All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, gender, national origin, disability and protected veterans status or any other personal characteristic protected by law

#LI-EB1

#LI-Hybrid

Position Overview

We are seeking a passionate and well-rounded candidate to join Diligent’s Platform Administration Services team. As part of this vital group, you will help design, build, and deliver the core services that power Diligent’s platform capabilities supporting our global product suite.  

The candidate will have the opportunity to learn and practice effective analysis, design, programming, and testing to produce and maintain scaled SaaS software solutions. The successful candidate will work as part of an established team used to working together to achieve excellent results. Our ideal candidate will be someone who is motivated, proactive and takes pride in their code. It's a 4-month program from September 2026 with the possibility of an extension for another term, depending on performance and mutual interest. 

Key Responsibilities:  

• Work as part of an agile Platform team and contribute to grooming user stories and ensuring work items are clear and testable.
• Develop and maintain an existing codebase.
• Take part in the team's ceremonies.
• Work on the team's backlog including planning, implementation, testing and release. 

Required Experience/Skills 

• Self-driven mindset and strong analytical skills.
• University-level programming coursework or comparable coding boot camp qualification.
• Looking for an education in programming and platform development
• Ability to work unsupervised for extended periods.
• Ability to be on-site in our Vancouver Office. 

Nice to Have Qualifications (not required): 

• Exposure to fullstack web applications including frontend and backend components.
• Exposure to AI tools (such as code assistants, AI debuggers, or design copilots) to enhance software development speed, quality, and creativity.
• Exposure to cloud environments (AWS, Azure, or GCP).
• Exposure to AI and LLM applications, including prompt engineering, RAG pipelines, or semantic search.
• Exposure with infrastructure-as-code, CI/CD pipelines, and observability practices.
• Passion for continuous learning and for exploring how AI can transform software engineering. 

We Take Care of Our Team 

• Continuous learning opportunities.
• Flexible work arrangements.
• Diversity & engagement programs, company events. 

The Senior Partner Program Manager will play a strategic role in the Zoominfo Partnerships Organization responsible for design, delivery, and execution of programs that will create a best-in-class partner ecosystem aligned to Zoominfo goals and objectives. The Senior Partner Program Manager is responsible for building and supporting multiple partner programs, such as Channel Sales, Technology, and Solutions, as we rapidly scale our Partner Ecosystem. We are looking for a self-starter who is comfortable dealing with ambiguity and has an entrepreneurial drive but can operate as part of a larger team and business. You are comfortable making recommendations based on data analysis and anecdotal feedback and willing to experiment with new ideas. You have a proven track record in taking on end-to-end ownership while working collaboratively with multiple stakeholders and successfully delivering results in a fast-paced and dynamic business environment. This role will report to the SVP of Partnerships to ensure the partner programs align with ZoomInfo’s overall corporate strategy.

What You’ll Do:

• Work with sales leadership and partnerships management, delivery and account teams to ensure the proper program elements, resources, and processes are put in place to support partner program success.
• Lead program management of high-visibility strategic programs, which includes designing a decision framework, executing strategy, and building a roadmap 
• Work collaboratively with Partners and internal ZoomInfo teams to develop repeatable frameworks 
• Play an active role in contributing to the evolution of ZoomInfo’s overall partner program and strategy
• Play a key role in partner recruitment and selection, engaging with strategic partners to ensure alignment and fast time-to-value.
• Help define goals/metrics to measure the success of our program
• Analyze key metrics, identify gaps, and create plans to mitigate and drive closure
• Collaborate with cross-functional teams taking responsibility for driving alignment and delivery
• Handle administrative functions related to Partner Programs, ensuring internal tools are updated, and sales hygiene is maintained
• Support Partners and internal stakeholders’ ad-hoc requests and jump in where needed (eg, legal agreement support, operations support, collateral building, etc.)

Core systems and tools you may be working with: Salesforce, Jira, Confluence, GSuite, Netsuite, Snowflake, GCP, AWS, plus multiple other peripheral software tools in these ecosystems.

What You Bring:

• 5+ years of Partner Program management experience
• Experience using data and metrics to determine and drive improvements
• Experience owning program strategy, end-to-end delivery, and communicating results to senior leadership
• Excellent interpersonal skills and a confirmed capacity to build positive relationships, manage partners to defined goals and objectives, and close business with partners
• Proven ability to work cross-functionally
• Must be self-motivated, have strong self-management skills and should demonstrate basic leadership qualities

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.

We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

#LI-EB1

#LI-Hybrid

The Senior Partner Program Manager will play a strategic role in the Zoominfo Partnerships Organization responsible for design, delivery, and execution of programs that will create a best-in-class partner ecosystem aligned to Zoominfo goals and objectives. The Senior Partner Program Manager is responsible for building and supporting multiple partner programs, such as Channel Sales, Technology, and Solutions, as we rapidly scale our Partner Ecosystem. We are looking for a self-starter who is comfortable dealing with ambiguity and has an entrepreneurial drive but can operate as part of a larger team and business. You are comfortable making recommendations based on data analysis and anecdotal feedback and willing to experiment with new ideas. You have a proven track record in taking on end-to-end ownership while working collaboratively with multiple stakeholders and successfully delivering results in a fast-paced and dynamic business environment. This role will report to the SVP of Partnerships to ensure the partner programs align with ZoomInfo’s overall corporate strategy.

What You’ll Do:

• Work with sales leadership and partnerships management, delivery and account teams to ensure the proper program elements, resources, and processes are put in place to support partner program success.
• Lead program management of high-visibility strategic programs, which includes designing a decision framework, executing strategy, and building a roadmap 
• Work collaboratively with Partners and internal ZoomInfo teams to develop repeatable frameworks 
• Play an active role in contributing to the evolution of ZoomInfo’s overall partner program and strategy
• Play a key role in partner recruitment and selection, engaging with strategic partners to ensure alignment and fast time-to-value.
• Help define goals/metrics to measure the success of our program
• Analyze key metrics, identify gaps, and create plans to mitigate and drive closure
• Collaborate with cross-functional teams taking responsibility for driving alignment and delivery
• Handle administrative functions related to Partner Programs, ensuring internal tools are updated, and sales hygiene is maintained
• Support Partners and internal stakeholders’ ad-hoc requests and jump in where needed (eg, legal agreement support, operations support, collateral building, etc.)

Core systems and tools you may be working with: Salesforce, Jira, Confluence, GSuite, Netsuite, Snowflake, GCP, AWS, plus multiple other peripheral software tools in these ecosystems.

What You Bring:

• 5+ years of Partner Program management experience
• Experience using data and metrics to determine and drive improvements
• Experience owning program strategy, end-to-end delivery, and communicating results to senior leadership
• Excellent interpersonal skills and a confirmed capacity to build positive relationships, manage partners to defined goals and objectives, and close business with partners
• Proven ability to work cross-functionally
• Must be self-motivated, have strong self-management skills and should demonstrate basic leadership qualities

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.

We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

#LI-EB1

#LI-Hybrid

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
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.

Your role
As a Sr. System Administrator on the Data Centers team, you’ll own both our hardware and cloud infrastructures, with a particular focus on reliability, scalability, and operational excellence. You’ll manage the administration and lifecycle of our global server fleet and lead key initiatives in automation, observability, and performance.

You’ll also take the lead on capacity planning, including physical data center needs, and will be a technical partner to stakeholders across Engineering as we evolve our infrastructure footprint. In addition, you’ll evaluate, propose, and implement new project initiatives such as intrusion detection/prevention, system/security hardening, and automating manual processes.

This position reports to our Engineering Manager, Data Centers and Networking, and is based in Vancouver, Canada (with flexibility to collaborate across global time zones).

What you’ll do

• Scout, evaluate, and compare hardware options and colocation facilities, partnering with Engineering to align decisions with performance and cost objectives.
• Design and deploy a cloud expansion strategy that balances reliability, performance, and efficiency across providers and regions.
• Steer capacity planning and our expansion/upgrade strategy, using data to anticipate growth and proactively mitigate bottlenecks.
• Design and deploy servers at scale into data centers around the globe, ensuring consistent standards and automation from day one.
• Develop and maintain automation for a large fleet of servers, VMs, and containers, reducing toil and improving consistency across environments.
• Work with vendors to obtain quotes, make purchases, and schedule services, including coordinating logistics for data center installations and maintenance.
• Set up and evolve monitoring for server, network, and data center health, including alerting, dashboards, and SLO-oriented metrics.
• Develop and maintain proper documentation for engineering staff, including runbooks, standards, and architectural diagrams.
• Participate in a rotating on-call schedule within the larger Infrastructure Engineering division, helping drive rapid incident response and robust post-incident reviews.
• Lead complex systems and network troubleshooting, fault analysis, and resolution, acting as an escalation point for the broader team.
• Provide technical mentorship to other System Administrators and engineers, sharing best practices around Linux, automation, and operational excellence.
• Partner with Security and other stakeholders on initiatives such as system hardening, compliance, and intrusion detection/prevention.
• Occasionally travel for on-site work when remote hands are not available; an active passport is required.

Skills you’ll bring

• Background in Systems and/or Software Engineering, with a strong focus on infrastructure and operations.
• Extensive experience with Linux, both on-premise and in the cloud, including performance tuning, troubleshooting, and automation at scale.
• Familiarity with networking technologies: TCP/IP, DHCP, DNS, routing, firewalls, and load balancing concepts.
• Data center setup/deployment experience, including racking/stacking, cabling standards, and remote management.
• Exposure to cloud platforms such as GCP or AWS, and experience working in hybrid environments.
• Demonstrated ability to keep abreast of industry standards and trends, and to translate them into practical improvements in a production environment.
• Proven experience in a senior or lead capacity (typically 5+ years in systems administration or similar roles), including driving cross-team initiatives and mentoring others.
• Strong communication skills and the ability to collaborate effectively with distributed teams.

What Appnovation offers 

• Challenging and rewarding work with real impact
• Direct Access to Cutting-Edge AI Platforms
• Diverse and Inclusive Culture 
• Growth opportunities for personal and professional development
• A collaborative and innovative work environment where your ideas are valued
• Exposure to exciting projects and high-profile clients
• Supportive work environment with access to company leaders
• Hybrid working model

What benefits Appnovation has to offer 

• Private Medical Insurance
• Dental Plan
• Registered Retirement Savings Plan
• Wellness Allowance
• ME Days
• Employee Assistance Programme
• Fertility and Menopause Leave

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

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

We’re looking for a Senior AI Platform Developer to build the shared systems that enable teams across MaintainX to ship AI-powered products reliably at scale. You will design and operate internal services that standardize how AI workloads run in production, with clear abstractions, safe defaults, and strong observability. This role is focused on platform leverage- reducing operational and cognitive load for other developers while raising the bar for reliability, performance, and delivery speed across the AI stack.

What you’ll do:

• Build and operate scalable backend services and internal APIs for the AI platform.
• Integrate LLMs and AI tool execution into reliable, production-ready workflows.
• Own production reliability for AI platform infrastructure through observability, alerting, and incident response.
• Improve performance and cost efficiency of AI runtimes through profiling, tuning, and capacity planning.
• Contribute to shared infra: CI/CD, observability, deployments

About you: 

• 5+ years of experience in Python backend development + systems design experience.
• Experience shipping AI-powered or LLM-integrated backend systems.
• Comfort working across multiple layers (services, data, infrastructure, AI tooling).
• Experience with cloud infrastructure (AWS/GCP/Azure) and IaC (Terraform/Pulumi).
• Experience with distributed systems and asynchronous processing.
• Have familiarity with AI or data-heavy services where reliability and cost matter at scale.

What’s in it for you:

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

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

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

SUMMARY

We’re looking for a Manager, Solutions Engineering - Western Canada to join us in spreading the power of Wiz. In this role, you will report to the Director, Solutions Engineering and work alongside a team of Wizards that focus on understanding the technical business needs of our Enterprise customers and prospects.

WHAT YOU’LL DO

You will partner with the regionally-based sales director to develop a strong working relationship with the account teams in our Western Canada region. You will thrive as a technical leader of the team not only in performing team leadership, but also getting your hands into technology. You will be the trusted advisor to your customers for all things related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve maximum value from our solution. We believe this all starts with a team effort working very closely with all resources available at Wiz.

WHAT YOU'LL DO

• Leadership and management of a team of Solutions Engineers focused on Enterprise/Majors accounts in Western Canada region
• Recruit, retain, develop and coach a team of regionally focused skilled SEs.
• Partner with sales and product groups to drive operational excellence and efficiency.
• Drive team accountability to deal management in Salesforce.

WHAT YOU’LL BRING

• Cloud security experience
• AWS/ Azure/ GCP hands on experience
• Network engineering experience / background
• Strong operating system, virtual machine and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates and keys

BONUS POINTS

• Experience with traditional CSPM tools and / or cloud infrastructure security · Technical SaaS Selling experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

Location

• The ideal candidate will be based Western Canada

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.

High-Level Overview

Benevity is seeking a talented Senior Staff Developer, who has an extensive record of hands-on Full Stack Development and Architecture experience. This role, reporting to the Director of Engineering, plays a crucial part in shaping and executing on the technical strategy across different teams and layers of the technology organization.

What you'll do:

Mixture of leadership and technical background

• Full stack solution design expert for technology initiatives using public cloud platforms  spanning multiple teams and domains within the organization.
• Demonstrated experience in one or more of the following domains: 
• Data processing & lifecycle management
• Multi-region data distribution and compliance management
• Data quality, observability, audit
• Content & digital asset management
• Personalized search solution and indexing strategy
• Domain driven design patterns
• Ensure security best practice across the technology stack using cloud native solution design.
• Create and maintain technical documentation related to architecture, decisions record, and implementation processes.
• Drive higher performance, agility and time to market by promoting the adoption of industry standard tools and processes across teams.
• Ideate and implement Proof of Concepts for technical and product advancement.
• Work with Principal Architects to lead the technical direction of our organizational strategy through implementing robust, extendable, and reusable architecture patterns.
• Provide mentorship and guidance to senior and staff developers, encouraging continuous learning and professional development through practical, hands-on examples and constructive feedback, and fostering a collaborative and inclusive team environment.
• Collaborate with product managers, staff developers, and other stakeholders to translate business requirements into technical specifications.

What you'll bring:

• 8+ years of scalable  development experience, with lead and software design accountabilities.
• 2+ years in a leadership role on building scalable platforms, technology transformation and modernization initiatives.
• Solid understanding of software architecture, design patterns, and principles
• The ability to connect designs to implementation with an API-first approach expertise with loosely coupled systems, and domain driven design
• Experience with event-driven architecture and decoupled services
• Proficiency in agile methodologies, Infrastructure-as-Code, DevSecOps best practices, and automated test frameworks
• Comfort with abstract problem-solving and ambiguous challenges
• Well versed in adapter architecture and integration design patterns
• AI driven development with ethical and secured software delivery practice
• Proven track record of building performant, scalable and cost effective products
• Proficiency in Object-Oriented programming methodologies, particularly using Java and Python programming languages. 
• Experience with application frameworks such as Spring Boot and FastAPI
• Strong experience domain driven database design to manage datasets using relational, document and warehouse database engines
• Ability to improve velocity and impact by eliminating technical debt.
• Hands-on experience with designing and implementing enterprise technology and data engineering solutions
• Well versed in integration patterns.
• Extensive experience with cloud-native infrastructure in AWS and GCP cloud platforms. Familiarity with Azure is a plus.
• Experience building scalable and automated software delivery supply chain using CI/CD concepts using technologies such as GitHub Actions and Jenkins 
• Experience in configuration driven data engineering knowledge developing scalable and extensible ETL and ELT based data processing.
• Commitment to continuous improvement in code, processes, and team development
• Excellent communication skills, translating user needs into actionable technical plans
• Degree in Computer Science, Computer Engineering or equivalent professional experience

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

Your Role at impact.com:

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

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

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

What You'll Do:

Yield Optimization & Pricing Models

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

Inventory Allocation & Supply Optimization

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

Data Architecture & Feature Engineering

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

Real-Time Inference & Production ML

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

Experimentation & Performance Measurement

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

Self-Learning Systems & Feedback Loops

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

Cross-Functional Collaboration

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

What You Bring:

Required

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

Preferred / Nice to Have

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

What Sets You Apart

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

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

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

Benefits and Perks: 

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

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

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

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

#LI_Vancouver_Canada

Engineering at Brex

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

What you’ll do

As a Security Operations Engineer at Brex, you will focus on preventing, detecting and responding to security threats across Brex's corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities. Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions. 

Security Operations is part of our wider Trust & IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents. You will also help build and maintain our team’s open source project Substation and have the opportunity to contribute to the Brex Tech Blog. You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.

We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex. Building a world-class financial service requires world-class security.

Where you’ll work

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

Responsibilities

• Work on a highly cross-functional team to prevent, detect and respond to security threats across Brex's corporate and cloud environments
• Perform security incident response, investigation, remediation, and documentation, participate in periodic threat hunting and security exercises
• Leading, scoping and building features, participate in designing, and maintaining tools and systems which support the team’s domains – corporate security, detection & response and infrastructure security 
• Collaborating and partnering with engineering and operations teams to drive remediation of security issues, while balancing prioritization of those security issues within SLA and teams’ respective backlogs
• Caring about secure system design, valuing building things correctly, an understanding of a MVP approach and an empathetic mindset when working with others

Requirements

• Bachelor’s degree in Computer Science, Engineering or related field OR equivalent training / fellowship OR 5+ years work experienceExperience working in a corporate security, detection & response or infrastructure security role with responsibilities for security alert triage and security incident response 
• Familiarity with CI/CD systems and DevOps workflows (e.g. Buildkite, Flux, Git, Terraform) in cloud environments (e.g. AWS, Azure, GCP)
• Experience with deploying and maintaining some of the security services and tools owned by the team (e.g. - SIEM, data pipelines, SOAR, domain monitoring, endpoint tooling, email protection tooling, cloud security tools)
• While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required
• You thrive in a collaborative environment filled with a diverse group of people with different expertise and backgrounds. We currently have around 30 nationalities represented with more than ½ the company working in a country different from the one they grew up in.

Bonus points

• Proficiency with Go and other programming languages 
• Experience with securing distributed systems in AWS, cloud and Kubernetes environments
• Contributions to the wider technical community (open source, public research, mentorship, community organizing, blogging, presentations, etc)

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

Engineering at Brex

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

What you’ll do

As a Security Operations Engineer at Brex, you will focus on preventing, detecting and responding to security threats across Brex's corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities. Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions. 

Security Operations is part of our wider Trust & IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents. You will also help build and maintain our team’s open source project Substation and have the opportunity to contribute to the Brex Tech Blog. You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.

We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex. Building a world-class financial service requires world-class security.

Where you’ll work

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

Responsibilities

• Work on a highly cross-functional team to prevent, detect and respond to security threats across Brex's corporate and cloud environments
• Perform security incident response, investigation, remediation, and documentation, participate in periodic threat hunting and security exercises
• Leading, scoping and building features, participate in designing, and maintaining tools and systems which support the team’s domains – corporate security, detection & response and infrastructure security 
• Collaborating and partnering with engineering and operations teams to drive remediation of security issues, while balancing prioritization of those security issues within SLA and teams’ respective backlogs
• Caring about secure system design, valuing building things correctly, an understanding of a MVP approach and an empathetic mindset when working with others

Requirements

• Bachelor’s degree in Computer Science, Engineering or related field OR equivalent training / fellowship OR 5+ years work experienceExperience working in a corporate security, detection & response or infrastructure security role with responsibilities for security alert triage and security incident response 
• Familiarity with CI/CD systems and DevOps workflows (e.g. Buildkite, Flux, Git, Terraform) in cloud environments (e.g. AWS, Azure, GCP)
• Experience with deploying and maintaining some of the security services and tools owned by the team (e.g. - SIEM, data pipelines, SOAR, domain monitoring, endpoint tooling, email protection tooling, cloud security tools)
• While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required
• You thrive in a collaborative environment filled with a diverse group of people with different expertise and backgrounds. We currently have around 30 nationalities represented with more than ½ the company working in a country different from the one they grew up in.

Bonus points

• Proficiency with Go and other programming languages 
• Experience with securing distributed systems in AWS, cloud and Kubernetes environments
• Contributions to the wider technical community (open source, public research, mentorship, community organizing, blogging, presentations, etc)

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

Engineering at Brex

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

What you’ll do

As a Security Operations Engineer at Brex, you will focus on preventing, detecting and responding to security threats across Brex's corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities. Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions. 

Security Operations is part of our wider Trust & IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents. You will also help build and maintain our team’s open source project Substation and have the opportunity to contribute to the Brex Tech Blog. You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.

We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex. Building a world-class financial service requires world-class security.

Where you’ll work

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

Responsibilities

• Work on a highly cross-functional team to prevent, detect and respond to security threats across Brex's corporate and cloud environments
• Perform security incident response, investigation, remediation, and documentation, participate in periodic threat hunting and security exercises
• Leading, scoping and building features, participate in designing, and maintaining tools and systems which support the team’s domains – corporate security, detection & response and infrastructure security 
• Collaborating and partnering with engineering and operations teams to drive remediation of security issues, while balancing prioritization of those security issues within SLA and teams’ respective backlogs
• Caring about secure system design, valuing building things correctly, an understanding of a MVP approach and an empathetic mindset when working with others

Requirements

• Bachelor’s degree in Computer Science, Engineering or related field OR equivalent training / fellowship OR 5+ years work experienceExperience working in a corporate security, detection & response or infrastructure security role with responsibilities for security alert triage and security incident response 
• Familiarity with CI/CD systems and DevOps workflows (e.g. Buildkite, Flux, Git, Terraform) in cloud environments (e.g. AWS, Azure, GCP)
• Experience with deploying and maintaining some of the security services and tools owned by the team (e.g. - SIEM, data pipelines, SOAR, domain monitoring, endpoint tooling, email protection tooling, cloud security tools)
• While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required
• You thrive in a collaborative environment filled with a diverse group of people with different expertise and backgrounds. We currently have around 30 nationalities represented with more than ½ the company working in a country different from the one they grew up in.

Bonus points

• Proficiency with Go and other programming languages 
• Experience with securing distributed systems in AWS, cloud and Kubernetes environments
• Contributions to the wider technical community (open source, public research, mentorship, community organizing, blogging, presentations, etc)

Compensation

The expected salary range for this role is $192,000 CAD - $240,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

We are seeking a high-performing Enterprise Account Executive with a "hunter" mentality to drive enterprise-level growth. You will be responsible for the end-to-end sales lifecycle, from initial outbound prospecting to complex technical negotiations and final contracting. This role requires a deep understanding of Cloud Native technologies and the ability to navigate multi-stakeholder environments within the Fortune 500.

This role is hybrid based in Vancouver, BC.

Key Responsibilities:

• Full-Cycle Ownership: Chaperone opportunities from cold outreach and intro presentations through technical evaluations to final procurement.
• Strategic Prospecting: Build and execute a territory plan using a modern stack (LinkedIn SalesNav, Gong, Reo.dev, Lusha) to maintain a robust pipeline.
• Value Alignment: Translate complex technical pain points into clear value propositions, specifically aligning Tigera’s security solutions with prospect needs.
• Executive Navigation: Confidently negotiate with technical architects, Platform Directors, and C-Suite executives.
• Cross-Functional Collaboration: Partner with Finance and Legal for deal execution while simultaneously managing the technical sales motion with engineers.

Qualifications & Skills

• Experience: 5+ years of outside sales experience, specifically managing complex, multi-stakeholder enterprise deals.
• Sales Rigor: Expert-level application of the MEDDPICC methodology.
• Technical Literacy: 
  • Deep knowledge of Cloud Native Technologies & Security.
  • Familiarity with OCP, SUSE, Azure, AWS, GCP, Mirantis, and VMware, and related cloud-native security tools.
  • Existing contacts of cloud, enterprise, and architectural decision makers at NA Enterprises.
  • Bonus: Knowledge of AI/Agentic governance, security, and infrastructure.
• Proven Track Record: A documented history of exceptional quota attainment in a startup or high-growth environment.
• Adaptability: Proven ability to operate effectively in both direct and partner-led sales motions.

Why You’ll Succeed

You thrive in the "grey area" of a startup environment. You are comfortable selling highly technical, complex solutions and don't shy away from the technical grit required to win over a Cloud Architect, yet you possess the polish to close a deal with a CFO.

ROLE OVERVIEW:

As a Full-Stack Developer, you will architect and build custom web applications across multiple client engagements, owning both the backend API layer and the frontend. A defining aspect of this role is working with AI as a logic layer within applications: integrating LLM APIs for validation, decision-making, classification, and content generation. You make strong technical decisions around authentication, security, state management, and performance, and you bring cloud engineering awareness for edge computing, CDN delivery, and serverless environments. This is not a traditional manual coding role. You orchestrate AI development tools, primarily Claude Code, through strategic prompting and rigorous review, taking full ownership of what ships.

RESPONSIBILITIES

Your key responsibilities will include:

• Architect and build custom web applications using Node.js (Nest.js, Express, Hono), Python (FastAPI, Flask), and Next.js/React.
• Design and build RESTful and/or GraphQL APIs that serve multiple frontends and integrate with third-party services.
• Integrate AI and LLM APIs as a core logic layer, building intelligent features such as validation, classification, content generation, and decision support.
• Implement authentication, authorisation (JWT, OAuth, RBAC), and security across applications.
• Design and manage database layers (PostgreSQL, MongoDB, cloud-managed equivalents), including schema design, migrations, and query optimisation.
• Architect with cloud-native patterns: edge functions, CDN configuration, serverless deployments, and caching strategies.
• Write and maintain automated tests across the full stack: unit (Vitest/Jest), API/integration, component (React Testing Library), and E2E (Playwright/Cypress).
• Orchestrate AI development tools (Claude Code) through strategic prompting, ensuring high-quality, production-ready output.

EXPERIENCE

The ideal candidate will have:

• Strong backend proficiency across Node.js (Nest.js, Express, Hono) and Python (FastAPI, Flask), with TypeScript and Python as working languages.
• Strong Next.js and React experience.
• Experience integrating AI/LLM APIs as an application logic layer: validation, classification, content generation, and decision-making within business workflows.
• Database design and management: PostgreSQL, MongoDB, cloud-managed services (Cloud SQL, RDS, ApsaraDB).
• Authentication and authorisation patterns (JWT, OAuth, RBAC) and API security.
• Cloud engineering: edge functions, CDN configuration, serverless architecture, container orchestration.
• Full-stack test automation: unit, API/integration, component, and E2E testing.
• Performance optimisation: caching, query optimisation, code splitting, monitoring.
• REST and/or GraphQL API design.
• Demonstrated ability to orchestrate AI development tools through strategic prompting and quality oversight.

TECHNOLOGIES

Deep understanding of the following technologies is essential:

• Node.js, TypeScript, Nest.js, Express, Hono, Python, FastAPI, Flask.
• Next.js, React, Tailwind CSS.
• PostgreSQL, MongoDB, cloud-managed database services.
• Authentication: JWT, OAuth, RBAC.
• Cloud and edge: Alibaba Cloud, GCP, AWS, Cloudflare Workers, Vercel Edge, Lambda.
• AI/LLM API integration and orchestration.
• Testing: Vitest/Jest, React Testing Library, Playwright/Cypress, API testing.
• Docker, CI/CD, Git, Claude Code.

PREFERRED QUALIFICATIONS

• Experience in a consulting or agency environment across multiple concurrent client engagements.
• Apollo GraphQL Server for federated or schema-first APIs.
• Event-driven patterns (webhooks, message queues, real-time notifications).
• Multi-model AI strategies (routing between LLMs based on task requirements).
• Graph databases (Neo4j) or vector databases (pgvector, Pinecone).
• Infrastructure as Code (Terraform, Pulumi).
• Export/print workflows (PDF generation, report exports).

WHO YOU ARE

You are a full-stack developer who takes ownership of the complete application, from API design and database schema through to the frontend. You treat security, performance, and data integrity as first-class concerns. You are comfortable working with AI as a logic layer, and you understand cloud-native architecture well enough to make informed decisions about edge computing, caching, and deployment. You thrive in a consulting environment, adapting to new domains and communicating clearly with technical teams and client stakeholders.

WHAT APPNOVATION HAS TO OFFER 

• Challenging and rewarding work with real impact
• Direct Access to Cutting-Edge AI Platforms
• Diverse and Inclusive Culture 
• Growth opportunities for personal and professional development
• A collaborative and innovative work environment where your ideas are valued
• Exposure to exciting projects and high-profile clients
• Supportive work environment with access to company leaders
• Hybrid working model

ROLE OVERVIEW:

As a Full-Stack Developer, you will architect and build custom web applications across multiple client engagements, owning both the backend API layer and the frontend. A defining aspect of this role is working with AI as a logic layer within applications: integrating LLM APIs for validation, decision-making, classification, and content generation. You make strong technical decisions around authentication, security, state management, and performance, and you bring cloud engineering awareness for edge computing, CDN delivery, and serverless environments. This is not a traditional manual coding role. You orchestrate AI development tools, primarily Claude Code, through strategic prompting and rigorous review, taking full ownership of what ships.

RESPONSIBILITIES

Your key responsibilities will include:

• Architect and build custom web applications using Node.js (Nest.js, Express, Hono), Python (FastAPI, Flask), and Next.js/React.
• Design and build RESTful and/or GraphQL APIs that serve multiple frontends and integrate with third-party services.
• Integrate AI and LLM APIs as a core logic layer, building intelligent features such as validation, classification, content generation, and decision support.
• Implement authentication, authorisation (JWT, OAuth, RBAC), and security across applications.
• Design and manage database layers (PostgreSQL, MongoDB, cloud-managed equivalents), including schema design, migrations, and query optimisation.
• Architect with cloud-native patterns: edge functions, CDN configuration, serverless deployments, and caching strategies.
• Write and maintain automated tests across the full stack: unit (Vitest/Jest), API/integration, component (React Testing Library), and E2E (Playwright/Cypress).
• Orchestrate AI development tools (Claude Code) through strategic prompting, ensuring high-quality, production-ready output.

EXPERIENCE

The ideal candidate will have:

• Strong backend proficiency across Node.js (Nest.js, Express, Hono) and Python (FastAPI, Flask), with TypeScript and Python as working languages.
• Strong Next.js and React experience.
• Experience integrating AI/LLM APIs as an application logic layer: validation, classification, content generation, and decision-making within business workflows.
• Database design and management: PostgreSQL, MongoDB, cloud-managed services (Cloud SQL, RDS, ApsaraDB).
• Authentication and authorisation patterns (JWT, OAuth, RBAC) and API security.
• Cloud engineering: edge functions, CDN configuration, serverless architecture, container orchestration.
• Full-stack test automation: unit, API/integration, component, and E2E testing.
• Performance optimisation: caching, query optimisation, code splitting, monitoring.
• REST and/or GraphQL API design.
• Demonstrated ability to orchestrate AI development tools through strategic prompting and quality oversight.

TECHNOLOGIES

Deep understanding of the following technologies is essential:

• Node.js, TypeScript, Nest.js, Express, Hono, Python, FastAPI, Flask.
• Next.js, React, Tailwind CSS.
• PostgreSQL, MongoDB, cloud-managed database services.
• Authentication: JWT, OAuth, RBAC.
• Cloud and edge: Alibaba Cloud, GCP, AWS, Cloudflare Workers, Vercel Edge, Lambda.
• AI/LLM API integration and orchestration.
• Testing: Vitest/Jest, React Testing Library, Playwright/Cypress, API testing.
• Docker, CI/CD, Git, Claude Code.

PREFERRED QUALIFICATIONS

• Experience in a consulting or agency environment across multiple concurrent client engagements.
• Apollo GraphQL Server for federated or schema-first APIs.
• Event-driven patterns (webhooks, message queues, real-time notifications).
• Multi-model AI strategies (routing between LLMs based on task requirements).
• Graph databases (Neo4j) or vector databases (pgvector, Pinecone).
• Infrastructure as Code (Terraform, Pulumi).
• Export/print workflows (PDF generation, report exports).

WHO YOU ARE

You are a full-stack developer who takes ownership of the complete application, from API design and database schema through to the frontend. You treat security, performance, and data integrity as first-class concerns. You are comfortable working with AI as a logic layer, and you understand cloud-native architecture well enough to make informed decisions about edge computing, caching, and deployment. You thrive in a consulting environment, adapting to new domains and communicating clearly with technical teams and client stakeholders.

WHAT APPNOVATION HAS TO OFFER 

• Challenging and rewarding work with real impact
• Direct Access to Cutting-Edge AI Platforms
• Diverse and Inclusive Culture 
• Growth opportunities for personal and professional development
• A collaborative and innovative work environment where your ideas are valued
• Exposure to exciting projects and high-profile clients
• Supportive work environment with access to company leaders
• Hybrid working model

Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.

Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.  

We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:

• Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
• AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. 
• Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
• Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.

What we look for:

• 5+ years of experience with HTML, CSS, and JavaScript.
• Passion for user experience and design and a deep understanding of front-end architecture.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value.
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
• 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
• Good knowledge of SQL.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
• Experience developing large-scale distributed systems.

At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from accelerating medical breakthroughs to building the next generation of intelligent products. We do this by creating the world’s best Data Intelligence Platform, empowering customers to turn massive data into deep, actionable insights.

Founded by engineers and driven by innovation, we’re obsessed with designing intuitive, high-performance user experiences that make complex data exploration simple and approachable.

As a Senior Frontend Engineer focused on Dashboards, you’ll build intuitive and scalable end-to-end experiences that help users create, explore, and share insights from data. You’ll work across the frontend, partnering with designers, product managers, and engineers to develop the next generation of dashboards, interactivity, and analytical workflows within Databricks.

What You’ll Do

• Design and build intuitive, high-performance experiences for creating and editing dashboards, as well as for authoring the data behind them, including SQL datasets, custom calculations, and semantic modeling.
• Partner closely with design and product to translate complex analytical concepts into polished, intuitive, and efficient dashboard experiences.
• Drive innovation in how Databricks users interact with data, enabling seamless and responsive exploration at scale.
• Own frontend development for core dashboard workflows, with a focus on usability, performance, accessibility, and reliability.
• Help shape the architecture, abstractions, and platform foundations that support a broad range of dashboarding and analytical use cases.
• Collaborate with backend engineers and adjacent teams to define APIs, data models, and contracts that power interactive and scalable dashboard experiences.

What We Look For

• 5+ years of professional software engineering experience, with strong experience building both frontend and backend systems.
• Expertise in modern frontend development with HTML, CSS, JavaScript/TypeScript, and React, or similar frameworks.
• Deep understanding of UX principles, accessibility, and responsive design for data-heavy interfaces.
• Experience designing scalable systems and abstractions that support interactive, high-performance product experiences.
• Proven ability to collaborate cross-functionally and deliver impactful user-facing features.
• Experience building dashboards, analytics, data exploration, authoring tools, or business intelligence products is a plus.
• Familiarity with SQL authoring, custom calculations, semantic modeling, or related analytical workflows is a plus.
• Experience with cloud technologies such as AWS, Azure, GCP, or Kubernetes is preferred.

Each of us cares about someone who will need medicines. That’s why our vision is to repeatedly beat the odds to deliver breakthrough medicines to patients that need them. We pursue truth and scientific rigour and have the courage to work at the edge of the unknown.

We are seeking a highly motivated and experienced Clinical Study Manager (CSM) to lead and manage clinical trials from start-up through to completion. Based out of Montréal, Québec, the Clinical Study Manager will ensure the efficient and timely execution of clinical studies in compliance with regulatory requirements, protocols, and standard operating procedures (SOPs). In this role, you will collaborate with cross-functional teams, including clinical research associates (CRAs), data managers, and regulatory personnel, to deliver high-quality clinical data while maintaining adherence to the budget and timelines.

How you might spend your days:

• Overseeing the global strategy of clinical trials, including study planning, execution, monitoring, and close-out 
• Ensuring clinical studies are conducted in accordance with the approved protocol, Good Clinical Practice (GCP), and applicable regulations
• Acting as the primary Sponsor contact for Global CRO Project Directors and Global functional leads
• Partnering with Clinical Project Managers (CPMs) to translate global recruitment targets into country-specific execution plans
• Developing and reviewing study plans, protocols, and related documents, while overseeing site selection, feasibility assessments, and the development of study materials
• Ensuring studies adhere to regulatory requirements and ethical standards, handling regulatory inspections and audits, and implementing corrective actions when necessary
• Developing and managing project timelines, milestones, and budgets, ensuring all deliverables are met within the agreed-upon timeframe and budget
• Identifying potential risks to the study, developing mitigation strategies, and taking appropriate action to resolve issues as they arise during the course of the study
• Overseeing the collection, analysis, and reporting of clinical trial data, ensuring data integrity and quality, accurate data handling, and compliance with data protection regulations
• Monitoring and ensuring the safety and welfare of study participants by adhering to safety reporting guidelines and promptly addressing any safety concerns

We'd love to hear from you if:

• You have a Master’s degree in a relevant field, and 6+ years of demonstrated work experience as a Regional Clinical Project Manager or Clinical Study Manager; candidates with a Bachelor’s degree and 8+ years of related experience will also be considered
• You have strong working knowledge of Good Clinical Practice (GCP), regulatory requirements, and clinical trial management
• You have previous experience as a CRA, or experience working at clinical sites
• You have strong organizational and project management skills, with the ability to prioritize and manage competing deadlines
• You are bilingual with excellent communication skills, both written and verbal, and have the ability to collaborate effectively with internal teams, external vendors, and clinical investigators
• You are proficient in clinical trial management systems (CTMS), electronic data capture (EDC) systems, and other relevant software
• You are certified in Clinical Research, such as ACRP, SOCRA (desirable)

What we offer:

In addition to base salary, we offer equity, annual bonus dependent on team and company performance, and a 6% (non-match) RRSP contribution. You will have a CAD $1,500 annual Active Lifestyle Allowance, annual vacation, opportunity for flexible work arrangements, professional development opportunities, and comprehensive health benefits. Scientific and technical mentorship is a priority. And you’ll find a strong sense of community and connections across AbCellera through our work, clubs, and socials.

About AbCellera 

Creating medicines is the most important work we can do. 

We are a clinical-stage biotechnology company focused on discovering and developing antibody-based medicines in the areas of endocrinology, women’s health, immunology, and oncology. We have built a platform for advancing antibody drug programs from target to clinic, and we are using it to build our internal pipeline.

Today, our pipeline includes two drug candidates in clinical development, two preclinical development candidates (DCs) in Investigational New Drug (IND)-enabling activities, and more than 20 active discovery programs across multiple modalities and indications.

We believe that when tenacious people share a vision and work together, they can truly have a positive impact. That’s why we hire for character and intelligence, not just for CVs or experience. 

We look for people with drive and energy. People we trust. People who need to know their days are being well spent. That their work really matters. In the end, our success will be measured by the impact of our medicines.

To apply

Please submit your application through our website and refer to Job ID 23359 in your cover letter. We receive a large volume of applications and are only able to contact those who are selected for an interview. All communication from our Talent Discovery team will come from an @abcellera.com email address.

Lantern is seeking an experienced Senior Cloud Platform Engineer to drive the evolution of our Azure-based infrastructure, focusing on scalability, automation, and regulatory compliance. In this pivotal role, you will architect, implement, and operate a secure, resilient, multi-region cloud platform that supports our mission to make excellent, affordable care more accessible to everyone.

You will collaborate with a talented team of cloud engineers and architects, championing operational excellence and delivering highly available, HIPAA- and SOC-compliant infrastructure. Working closely with security, application development, and business teams, you will help build robust, enterprise-grade platforms that empower innovation, agility, and growth.

This role is ideal for a cloud expert with deep Microsoft Azure expertise, a strong record of contributing to high-performing teams, and a passion for building scalable infrastructure in dynamic, fast-paced enterprise environments.

Location: Hybrid - at least 3 days/wk in Vancouver, BC
On-Call:  This position requires being on-call 1 week per month at the most

Responsibilities:

• Design, implement, and maintain secure, scalable, and highly available Azure cloud infrastructure to support Lantern’s healthcare solutions.
• Collaborate with cloud architects, engineers, application developers, and InfoSec teams to deliver enterprise-grade cloud platforms that meet HIPAA, SOC 2, and other regulatory requirements.
• Develop and maintain Infrastructure-as-Code (IaC) using tools such as Terraform to automate provisioning, configuration, and deployment of Azure resources.
• Implement and optimize CI/CD pipelines using Azure DevOps and GitHub Actions to support agile software development and rapid release cycles.
• Ensure robust monitoring, observability, and alerting for production systems; proactively address incidents and contribute to incident response.
• Participate in cost optimization efforts by monitoring resource usage and recommending efficiencies for cloud spend.
• Contribute to disaster recovery planning, business continuity, and uptime strategies for critical healthcare applications.
• Maintain comprehensive documentation for infrastructure, deployments, and operational procedures.
• Participate in cross-functional meetings with product, engineering, and compliance teams to ensure infrastructure aligns with business and regulatory goals.
• Mentor junior engineers and support a culture of collaboration and continuous improvement within the team.

 Requirements:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• 4+ years of experience in cloud infrastructure engineering, systems administration, or DevOps roles.
• 3+ years of hands-on experience with Microsoft Azure (experience with AWS or Google Cloud Platform is a plus).
• Experience designing, deploying, and managing cloud-based infrastructure at scale.
• Practical experience configuring and maintaining CI/CD pipelines using Azure DevOps and GitHub Actions.
• Proven experience in a regulated environment, ideally in the healthcare sector with HIPAA and/or SOC compliance requirements.
• Hands-on exposure to security best practices for cloud environments, including identity and access management, encryption, and monitoring/logging.
• Strong problem-solving and troubleshooting abilities.
• Excellent communication and collaboration skills.
• If you don’t meet every requirement listed, we still encourage you to apply.

Strong Candidates Will: 

• Strong experience with Infrastructure as Code (IaC), especially Terraform, to automate Azure resources.
• Experience managing Azure App Services, networking, and storage solutions.
• Experience with containerization (Docker, Azure Kubernetes Service) is a plus.
• Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Administrator) are a plus.

Benefits: 

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

Overview

We are seeking a hands-on Director of AI Software Engineering to lead and scale AI engineering efforts supporting multiple business units across Governance, Risk, and Compliance (GRC). This role sits at the intersection of product delivery, platform evolution, and applied AI—driving real-world impact across core workflows.

This is not a pure management role. We are looking for a builder who leads from the front, someone who has recently written production code, shipped systems end-to-end, and can operate comfortably in ambiguity while aligning teams and stakeholders.

What You’ll Do

Lead AI Engineering Across GRC

Own delivery of AI-powered capabilities embedded directly into business unit workflows (e.g., risk analysis, compliance automation, reporting, due diligence)
Partner with product, data, and platform teams to translate business problems into scalable AI systems

Stay Hands-On

• Contribute to architecture, code reviews, and critical path implementation
• Prototype and validate new approaches (LLMs, agents, retrieval systems, classification pipelines, etc.)
• Set engineering standards for performance, reliability, and cost efficiency

Build and Scale Teams

• Lead and mentor a high-performing team of AI/ML and software engineers
• Drive hiring, coaching, and career development
• Establish a culture of ownership, speed, and technical excellence

Drive Execution

• Deliver production-grade systems—not experiments
• Balance speed with rigor (security, privacy, compliance)
• Operate across multiple concurrent initiatives with clear prioritization

Communicate and Influence

• Act as a bridge between engineering and business stakeholders
• Clearly articulate trade-offs, risks, and outcomes to senior leadership
• Align cross-functional teams around shared goals and timelines

What We’re Looking For

Proven Builder

• 10+ years in software engineering, with recent hands-on coding experience
• Demonstrated track record of shipping production systems at scale
• Experience with modern AI/ML systems (LLMs, NLP, search, or data platforms)

Technical Depth

• Strong backend engineering skills (e.g., Python, Java, or similar)
• Experience with distributed systems, APIs, and cloud platforms (AWS/GCP/Azure)
• Familiarity with modern AI stacks (e.g., vector search, embeddings, model serving, agent frameworks)

Leadership with Credibility

• Experience leading engineering teams while remaining technically engaged
• Ability to earn trust with senior engineers and challenge them constructively

Strong Communicator

• Can simplify complex technical concepts for non-technical stakeholders
• Comfortable operating at both executive and implementation levels

Execution-Oriented

• Bias for action; thrives in fast-moving, ambiguous environments
• Focused on delivering measurable business impact—not just technical output

Nice to Have

• Experience in GRC, fintech, or regulated environments
• Exposure to FedRAMP or similar compliance frameworks
• Background in building AI-powered products (not just research)

Why This Role

• Direct influence on how AI transforms core GRC workflows
• Opportunity to define and scale AI-native systems across the platform
• High visibility with senior leadership and business stakeholders
• Build real products used by customers, not internal experiments

About Your Role

As a Senior TestOps Engineer within our Delivery Engineering team, you will be the architect of our quality gates. You won't just be "testing" software,  you will be building the high performance infrastructure and automated tooling that allows our developers to ship code with confidence and speed. You will bridge the gap between QA, DevOps, and Software Engineering to ensure our delivery pipeline is resilient, observable, and scalable.

This role is hybrid based in Vancouver

Salary range: CA$125,000 to CA$150,000 + stock options

You Will 

• Architect Test Infrastructure: Design and implement ephemeral test environments and automation frameworks for the various Kubernetes platforms in different Clouds using Golang, Docker/Kubernetes, and Terraform/Pulumi.
• Eliminate Toil: Identify manual bottlenecks in the delivery process and write automated tools and solutions to replace them using Golang.
• Gap Analysis and Strategy: Proactively identify architectural blind spots in complex integration points and write robust automated test suites using Go-test and Ginkgo, ensuring high-concurrency and flake-resistant execution.
• Engineer CI Pipelines: Build and maintain sophisticated CI/CD workflows (GitHub Actions, Tekton) that integrate automated testing seamlessly into the development lifecycle.
• Observability Integration: Work with OpenTelemetry, Elasticsearch, and Kibana to ensure test results provide deep, actionable insights into system health.
• Support Release delivery: Lead the creation of comprehensive release test plans, managing risk communication across Product and Engineering stakeholders.
• Champion Exploratory Testing: Beyond automation, apply a "breaker" mindset to uncover edge cases through exploratory testing and performance benchmarking.

You Have

• Experience: 5+ years in Software Test Tooling, DevOps, or Site Reliability Engineering (SRE).
• The "Engineer’s Engineer": Strong development skills in Go or Python. We need someone who doesn’t just use tools but builds them. Has a deep-seated drive to improve the developer experience by creating seamless, automated guardrails. A wide majority of our tools are built in-house.
• IaC Mindset: Experience treating infrastructure as a software problem (eg. Terraform, Pulumi) and believes environments should be as ephemeral and versioned as the code itself.
• Cloud & Containers: Comfortable navigating the complexities of K8s, from managing container lifecycles in Docker to troubleshooting pod lifecycles and resource usage in AWS/GCP/Azure.
• Quality Strategists: Who don’t just "run tests"; they identify coverage gaps at the architectural level. Have the foresight to pinpoint where service boundaries might fail and possess the skill to automate the validation of those integration points.
• CI/CD Architects: A star designing high performance pipelines (e.g., GitHub Actions, Tekton) that provide fast, reliable feedback loops to engineering teams.
• Observability Advocates: Believes that testing doesn't end at "Pass/Fail." And are looking for ways to integrate OpenTelemetry, Elastic, or Kibana to gain deep insights into system reliability via test performance.

Nice-to-Have

• Platform Mastery: Experience with Kubernetes distributions like OpenShift, Rancher, MKE.
• Hybrid Cloud: Familiarity with virtualization (vSphere, KubeVirt).
• The Logging Stack: Hands-on experience with Log aggregation (ElasticSearch/OpenSearch).
• Observability: Experience with distributed tracing (OpenTelemetry) and complex performance profiling.