The Identity Threat Protection Team

Identity Threat Protection (ITP), powered by cutting-edge Okta AI, shatters the mold of traditional login security. We deliver real-time, surgical defense against the most sophisticated and rapidly evolving threats. By deeply integrating with existing security infrastructure, ITP relentlessly analyzes user behavior and system data to proactively hunt down and neutralize risks before they impact our customers.

Join an elite team of full-stack engineers, visionary data scientists, and pioneering ML engineers. We are not just redefining cloud authentication—we are engineering the next-gen security platform that continuously evaluates global threats and constructs a comprehensive, dynamic risk. ITP stands as the uncompromising guardian of trust and security, placing decisive risk prioritization at the core of every authentication and authorization decision.

Identity Threat Protection with Okta AI

The Staff Software Engineer Opportunity

Okta is seeking a Staff Software Engineer to be a driving force on the ITP engineering team. This is your chance to dive into the deep end and solve the most critical and complex security challenges facing enterprises today. We seek a candidate who has not just experience, but a proven record of designing, building, launching, and scaling world-class security products—from concept to global deployment.

You will be a technical cornerstone of a team that lives and breathes elegant solutions and uncompromising quality. Our philosophy is rooted in relentless automated testing, rigorous code reviews, and the design of systems for massive, planetary-scale operations. As a Staff Engineer, you are a player-coach and a standard-setter, demonstrating absolute excellence in software engineering.Our environment is high-speed, fiercely innovative, and highly autonomous, utilizing agile cycles where individual ownership is paramount. If you crave stimulating, mission-critical security projects, pioneering emerging technologies, and conquering complex security and Machine Learning challenges, this is your defining career opportunity.

What you’ll be doing 

• Architect and Lead: Command the design, development, delivery, and supportability of cloud-native security products—leading the charge from initial concept to final, production-ready implementation.
• Drive Collaboration: Build solid, cross-group partnerships and demonstrate exceptional interpersonal communication, working closely with engineering, product management, design, support, and documentation teams.
• Uphold Excellence: Commit to the highest programming standards through rigorous code reviews and the creation of comprehensive unit and functional tests.
• Lead Remote Teams: Excel at working with remote teams and individuals while relentlessly ensuring product quality, agility, and velocity.
• Mentor and Empower: Act as a player-coach to mentor, groom, and educate junior engineers.

What you’ll bring to the role

• 7+ years of experience building Java-based web applications.
• Deep understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
• Experience thriving in fast-paced software development teams that leverage continuous integration and deployment practices.
• Strong communication skills and the ability to work across functions.
• A powerful security background and a proven track record of championing best practices.

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

• Experience building anomaly detection systems or risk systems is a monumental advantage.
• Expertise in cloud security, identity, and/or authentication protocols.
• Hands-on experience with one or more cutting-edge UI technologies such as Angular, ReactJS, Backbone, and Vue.

(P23225_3240232)

#LI-Hybrid 

#BB-1

The Staff Full Stack Engineer Opportunity

The Access Management group drives billions of authentications every month. The group builds and supports single sign-on, strong authentication, provisioning, and threat protection technologies. Our Access Management service runs in the cloud on a secure, reliable, extensively audited platform with 99.99% availability.

We are looking for an experienced and highly technical full stack software engineer to join the Federated Authentication Platform team. Operating under the larger Access Management group, this team is responsible for building out the authentication pipeline for the Okta Identity Engine leveraging security standards, this platform provides the core orchestration building blocks to create a world class authentication experience.  We are looking for smart, innovative and passionate engineers to join the team.

What you’ll be doing 

• Design, implement, review and troubleshoot highly scalable backend services and APIs.
• Develop and maintain engaging and responsive user interfaces using modern web frameworks.
• Analyze/Refine Requirements with Product Management, bridging the gap between user needs and technical implementation.
• Work with engineering management to scope and plan engineering efforts across the full stack.
• Collaborate with QA, Product Management, Technical Support, Documentation and UX team

What you’ll bring to the role

• 8+ years of experience building and deploying scalable, reliable, mission-critical software, spanning both frontend and backend development.
• Proficiency with at least one Object-Oriented Backend Language (e.g., Java, C#, Python, Go) and modern JavaScript/TypeScript.
• Experience with a modern frontend framework (e.g., React, Angular, Vue.js).
• Strong understanding of RESTful API design and interaction.
• Experience working with a system of scale

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

• Experience with server-side technologies including caching, asynchronous processing, and multi-threading.
• Experience in TDD or BDD methodologies.
• Knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, Federation, SSO, etc.
• Experience with cloud platforms (e.g., AWS, Azure, GCP).

(P5928_3355117)

#LI-Hybrid 

#BB-1

ABOUT THIS ROLE:

We are looking for an application troubleshooting analyst – an individual who can perform analysis of a given problem report and determine where the problem is, its cause, solution or recommend effective workaround where applicable.

Acting as an escalation point for client Subject Matter Experts, Product Support Analysts act as the primary point of contact for client technical teams. Through a combination of technical investigation and troubleshooting, as well as collaborating with teams across D2L, PSAs offer a world class support experience for D2L Administrators with varying degrees of technical expertise across the Enterprise, Higher Education, and K-12 segments.

Successful candidates must have strong analytical skills and be creative problem solvers.  They will be able to make accurate risk assessments and demonstrate above-average attention to details and competencies.  They are excellent communicators and are comfortable discussing technical issues with clients whose technical expertise may vary.  

HOW YOU'LL MAKE AN IMPACT:

• Utilize electronic communication by chat, phone, email, or assignment through case tracking system to interact with users facing technical issues, effectively identifying and documenting the problems they are encountering
• Conduct thorough research and implement appropriate solutions by referring to user guides, technical manuals, and other relevant documents
• Identify and correct improperly configured installations
• Replicate, diagnose, and resolve technical problems experienced by users, employing troubleshooting techniques to ensure prompt resolution
• Create, update, and resolve support cases within defined Service Level Objectives 
• Improve product/tool design and functionality through creation of Software Defect reports and Feature Enhancement reports 
• Create Support documentation, including FAQs and both internal and client-facing Knowledge-based Articles 
• Participate in collaborative troubleshooting sessions to identify root causes of complex issues 
• Participate in a shift rotation including weekdays, evenings, and weekends based on Eastern Time 
• Perform other duties as assigned by Manager 

WHAT YOU'LL BRING TO THE ROLE:

• Fluency in English and Canadian French is required

Desired Competencies:

• Ability to learn and adapt to new tools and products quickly  
• Strong ability to recognize patterns 
• Ability to work individually and in collaboration with colleagues 
• Ability to work well in a fast-paced environment 
• Demonstrable ability to multitask both independently and within a team 
• Ability to identifying trends and make suggestions for technical modifications to resolve existing and future problems
• Excellent research capabilities

Desired Skills: 

• Strong ability to write, interpret, and debug SQL queries on demand  
• Working knowledge of
  • Web services (SOAP and REST), XML, HTML, ASP, ASPX, C#, .NET, JAVA, JavaScript, and Microsoft tools and technologies 
  • Active Directory, Office 365 Suites, OAuth, LDAP, and SAML solutions. 
  • Web applications and how they work at a high level (web servers, database servers, client-to-server communication) 
  • Wireshark, Fiddler, and other browser based diagnostic and reporting tools  
• Communicate technical and complex information in verbal and written form 
• Strong customer service skills
• Keen attention to detail and organization skills 
• Excellent time management and prioritization skills 
• Strong analytical and decision-making skills 
• Excellent problem-solving and navigational skills

Desired Experience:

• Experience working with Microsoft SQL 
• Some experience providing customer service  
• Relevant work experience in a similar role
  • Experience working in a Helpdesk environment is considered an asset 
• LMS experience – user, administration, and/or support is considered an asset 
• Experience with Salesforce or any other ticketing system is an asset 

Education Recommendations:

• Bachelor's degree in Computer Science or equivalent technical experience 

This position is to fill an existing vacancy

We are hiring a Senior Software Engineer to join our Server Security team. The Server Security team is a development-focused group within MongoDB's core engineering organization. Operating "close to the bottom of the stack," the team builds features that enable database users to secure their data globally. You will work on critical components including:

• Cryptography: Queryable Encryption, at-rest data encryption, and fundamental cryptographic principles.
• Identity & Access: Authentication and authorization systems, TLS, and X.509 certificate management
• Network Security: High-performance, low-latency networking protocols (PKI, Hashing, CRLs)
• System Integrity: Resilience, observability, and compliance assurance within a large-scale distributed database

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators.

The role

As a Senior Engineer, you will apply distributed systems fundamentals to deliver core security features. You will be a leader in improving MongoDB's security posture by owning features and leading investigations into complex areas of the codebase. What you’ll do:

• Build and test new security features in a large, feature-rich C++ codebase
• Work across engineering, cloud services, and support teams to coordinate feature rollouts and changes
• Stand for code quality and security best practices, assisting fellow engineers in writing well-reasoned, secure code
• Use strong diagnostic intuition to solve thorny technical issues related to distributed systems, concurrency, and OS internals

This role can be remote or hybrid anywhere in the USA or Canada. We will prioritize candidates who are already located in one of these countries.

Candidate Profile

We are looking for a highly technical engineer who thrives on the theory and practice of large-scale distributed system design.

• 5+ years of experience building distributed systems
• Proficiency in a compiled language (C++, Rust, Go, Java, or similar). Technical interviews will be conducted in a compiled language of your choice
• Ability to reason about how specific design choices impact a distributed system like MongoDB
• Understands modern computer architecture and internals to the degree that they can reason about how specific design choices plays out in a system like MongoDB
• Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
• Excellent communication skills to synthesize complex technical implications for diverse stakeholders

Success Measures

• In your first month, you’ll understand the high-level architecture of MongoDB, dive into the details of your team’s components, and resolve a few bugs
• In the first three months, you’ll contribute to the development of a project slated for the next release of MongoDB, take on code review responsibilities, and participate in design reviews for new features
• In the first six months, you’ll lead the development of a new feature and help mentor new engineers on the team

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: 1273412835

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

The Application Modernization Platform team aids developers in making the shift from relational databases to MongoDB, building toolkits that leverage AI to power seamless transitions. 

As a Senior Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts for Application Modernization. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and Field-facing teams to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.

This remote position is open to candidates in Eastern and Central timezones.

The right candidate for this role will be:

• Experienced with 5+ years of Software development background, preferably with experience with Java web services and with relational data modelling and SQL
• Familiar with tools and methodologies for code analysis, refactoring, and automated testing
• Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
• Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
• Trained in working with project tracking software (JIRA is preferred)
• Familiar with MongoDB or a comparable technology
• Exposed to generative AI and Machine Learning
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack

Position Expectations:

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Develop a strategic approach to program management that balances hands-on oversight with process-driven operationalization. This involves discerning when to provide direct guidance and when to empower teams by establishing clear frameworks and guidelines for ongoing initiatives
• Build strategic partnerships with Product, Design, and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Embody MongoDB's core values and leadership principles

Success Measures:

• In 3 months you will be ramped on the App Modernization product and engineering roadmap
• In 6 months you will own and drive critical initiatives across the App Modernization portfolio
• In 12 months you will be organizing multiple high impact efforts and integrating improvements to frameworks for managing critical programs at MongoDB

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: 4263333180

Who We Are

The Search Systems team at MongoDB builds the core infrastructure behind MongoDB Search and Vector Search. Our mission is to make advanced search capabilities feel native to the database, so developers can build powerful, scalable applications without standing up separate systems or compromising transactional performance.

We are the team behind mongot, the indexing and query execution engine that powers Search and Vector Search across MongoDB Atlas and self-managed deployments. Our work sits at the intersection of distributed systems, databases, and search infrastructure. We integrate Apache Lucene with MongoDB using native query operators like $search and $vectorSearch, build asynchronous change-stream-driven indexing pipelines that scale independently from transactional workloads, and support deployments across cloud, on-prem, and hybrid environments. Engineers on this team own meaningful subsystems, influence architectural decisions, and work on core database technology used by developers globally.

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

What You'll Do

This is a rare opportunity to set the technical direction for one of MongoDB's most strategic investments. You will define the architecture of a self-contained search system that spans Community, Enterprise, and Atlas, while guiding how we integrate AI-native capabilities from Voyage AI. This is not a chance to influence a feature. It is a chance to shape the foundation of how developers everywhere build applications with MongoDB.

In this role, you will:

• Own the cross-system data infrastructure layer for MongoDB's next-generation Search and Vector Search capabilities, carrying outcomes that span 6-18 months
• Define the technical roadmap for Atlas Search, identifying gaps, proposing solutions, and driving alignment across engineering teams globally
• Lead the architecture and evolution of the core mongot and Mongo Management Service infrastructure, making durability, consistency, and scale decisions with conviction
• Drive complex, multi-team initiatives by building technical consensus, navigating ambiguity, and setting direction when there is no clean playbook
• Serve as a trusted technical partner to leadership on roadmap, architecture, and engineering process, advising rather than just informing
• Raise the technical ceiling of the team through mentoring, rigorous code review, and knowledge-sharing that creates leverage beyond your own output
• Standardize how engineering teams across the globe contract with one another, reducing coordination costs and increasing execution velocity at scale

What We're Looking For

Required:

• 10+ years of experience in data management systems or related distributed infrastructure
• Deep proficiency in modern programming languages and techniques, with Java fluency preferred
• Demonstrable experience designing and operating distributed systems, cloud services, or SaaS products at scale
• The ability to reason about systems at the physical layer: data consistency, durability guarantees, concurrency, and failure modes in distributed environments
• A track record of operating at Staff or Principal scope: defining technical direction, resolving cross-team ambiguity, and personally championing initiatives from conception to delivery

Preferred (not required):

• Experience designing or maintaining search platforms or distributed databases
• Experience debugging and profiling multithreaded JVM applications and distributed systems

The profile we hire at this level:

Operational Architects. You understand the physical limits of the stack. You can articulate why a system breaks at 100x load, reason about the risks of a dual-write migration strategy, and make data consistency and durability decisions with conviction.

Scale-First Thinkers. You identify risks before they surface. You think in migration paths, failure modes, and second-order architectural consequences, not just implementation details.

Technical Force Multipliers. You create leverage across teams. You challenge requirements rather than execute them, set technical direction independently, and hold a high bar for architectural clarity whether you are mentoring a struggling engineer or reviewing a design with a principal.

Systems Intuitionists. You connect operational constraints to design decisions in concrete terms. You know why fsync matters. You know how atomic operations behave under contention. You have built systems where these things were not hypothetical.

What Success Looks Like

In 3 months: You have developed deep familiarity with the core mongot and Mongo Management Service repos and shipped your first meaningful contribution.

In 6 months: You are driving features that build out new infrastructure for Atlas Search and have identified at least one systemic risk or architectural gap the team had not fully articulated.

In 12 months: You are building POCs, setting technical direction on complex cross-team projects, and actively shaping what the next generation of MongoDB Search looks like.

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: 2263199619

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 2263171228

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our Dublin office, or work fully remotely in Ireland.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

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: 426183

Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale.

Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to.

This role is based in Toronto, ON hybrid.

Successful candidates will have the following qualities:

• 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase
• Experience developing distributed systems and cloud services
• Experience with at least one modern statically typed programming language, and interest in working with Java
• Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues
• A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback
• A strong sense of ownership over their work, from initial design all the way through maintaining code in production

You will:

• Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads
• Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers
• Have the opportunity to lead projects and own subsystems
• Provide input on the team’s roadmap and help determine the architecture of our system

Success measures:

• In 3 months you’ll have a solid high-level understanding of what our team does and how we operate. You’ll have contributed to the development of an existing project and completed several small improvements or bug fixes
• In 6 months you’ll be reviewing code and project designs, and be an active participant in team meetings
• In 12 months you’ll have a thorough understanding of the systems our team owns and have led a small project. You’ll have proposed small improvements to our code, product, or team processes

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: 426157

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

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

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

Candidate Profile

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

Responsibilities

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

Bonus points if the candidate has experience with:

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

Success Measures

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 1273376291

About the Cloud Payments team

Cloud Payments is part of the Cloud Billing organization. As MongoDB’s Cloud business grows, the billing and payments stack becomes increasingly mission‑critical. Our team:

• Ingests and aggregates detailed metering and usage data from internal services and major cloud providers (AWS, Azure, GCP)
• Calculates and generates daily customer bills for millions of customers worldwide
• Integrates with payment processors and internal financial systems to support Finance, Sales, Marketing, and Accounting
• Continuously improves customer-facing billing and payments experiences and the reliability and scalability of our backend systems

We’re a group of engineers who care deeply about code quality, correctness, and observability, and who are comfortable collaborating with both highly technical partners and non-technical stakeholders across the business.

The role

We’re looking for a Software Engineer 3 to help design, build, and operate the services that power Cloud Payments. You’ll work primarily in the JVM ecosystem (Java and related tooling), with a focus on large-scale, distributed systems that have to be correct, resilient, and auditable.

This is a Canada-based, fully remote role. You’ll collaborate closely with teammates and stakeholders across North America time zones, including engineers in the broader Cloud Billing organization.

What you’ll do

In this role, you will:

• Design, implement, and operate backend services that ingest, process, and reconcile large volumes of usage and billing data from internal and external systems
• Collaborate with product, Finance, Revenue, and other engineering teams to evolve our billing and payments capabilities and improve customer experience
• Own features end‑to‑end: requirements, design, implementation, testing, rollout, monitoring, and iterative improvement
• Help scale and harden our systems as Atlas and our broader Cloud business continue to grow rapidly
• Participate in architecture discussions, technical design reviews, and code reviews to keep our systems robust and maintainable
• Contribute to improving our tooling, observability, and development workflows so the whole team can move faster and safer
• Take part in an on‑call rotation that treats reliability as a team sport, not an individual burden

What we’re looking for

You may be a great fit if you:

• Have 3+ years of experience building and maintaining backend systems in a compiled language, ideally Java
• Understand core object‑oriented design principles and how to apply them to complex, evolving systems
• Have experience with distributed systems and services that need to be highly available, observable, and correct at scale
• Are comfortable working with databases (relational and/or non‑relational such as MongoDB) in production environments
• Communicate clearly and enjoy working with both technical and non‑technical stakeholders across multiple teams
• Are curious, collaborative, and motivated by solving real customer and business problems rather than just closing tickets

Nice to have (but not required):

• Experience with billing, payments, or other financial systems where correctness, auditability, and compliance really matter
• Experience with cloud platforms (AWS, GCP, Azure) and modern communication protocols like gRPC
• Familiarity with data-intensive applications, data pipelines, or data lakes
• Exposure to working with I/O frameworks like Reactor
• Experience with containerization and orchestration (e.g., Docker, Kubernetes)
• Prior exposure to MongoDB as a developer or operator

We don’t expect you to check every box. If you’re excited about the space and think you could do great work here, we’d love to hear from you.

Working model & location

• Location: Canada
• Working model: Fully remote, with colleagues primarily across North American time zones

How we’ll support you

MongoDB is committed to building a supportive, inclusive, and growth‑oriented environment for everyone on the team. Our approach to benefits and working models is designed to support your physical, emotional, financial, and family well‑being, and to give you flexibility in how you do your best work.

You’ll have opportunities to:

• Work on complex, meaningful projects that directly impact MongoDB’s Cloud business
• Learn from and collaborate with experienced engineers across Cloud Billing and other parts of MongoDB
• Grow your career through mentorship, feedback, and stretch projects aligned with your interests

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

REQ ID: 1273389937

About Toast:

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

Are you bready* for a change? (Team Info)

The Care Experience team builds the systems and tools Toast’s care agents rely on to support restaurants every day—the foundation behind every phone call, chat conversation, and support case.

This work directly determines how quickly restaurants get back up and running. When agents have fast, reliable tools with the right context, they resolve issues in minutes. When they don’t, resolution slows—and every delay in fixing a payment issue, menu problem, or device failure costs restaurants real revenue.

We’re rebuilding this experience from the ground up: migrating to a new omnichannel contact center platform and creating a true “single pane of glass” for agents. That means bringing together customer data, account context, device state, case history, and operational tools into one unified system—so agents can focus on solving problems, not piecing together information.

As an engineer on this team, you’ll help define and build that foundation for how hundreds of care agents support tens of thousands of restaurants. You’ll drive the migration while also shaping what comes next—integrating backend systems, designing workflows, and continuously improving the experience based on how agents actually work.

This work requires strong empathy for internal customers and a willingness to operate within real constraints. You’ll navigate complex integrations, vendor platform limitations, and real-time system dependencies—all while ensuring the system is reliable enough to support a high-throughput, always-on support organization.

As a Senior Software Engineer, you’ll own projects end-to-end: building agent-facing features, improving system performance and reliability, and iterating based on real operational feedback. You’ll partner closely with product, care operations, and engineering teams to turn day-to-day support challenges into tools that measurably improve how support is delivered.

If you’re motivated by building for internal customers, care about usability as much as system design, and want to see your work directly improve how teams operate at scale, this is a role with clear, tangible impact.

About this roll* (Responsibilities) 

• Drive end-to-end development of care agent tooling—from design through production—owning the full lifecycle and iterating based on agent feedback and operational metrics.
• Build and evolve integrations between the contact center platform and Toast’s backend systems, enabling real-time access to customer data, account state, device information, and case history.
• Own the reliability and performance of business-critical agent tools, ensuring they remain fast and available in a high-throughput, always-on support environment.
• Partner closely with care operations to understand agent workflows, identify friction, and translate operational needs into solutions that improve resolution speed and efficiency.
• Make pragmatic technical decisions that balance vendor platform capabilities, integration complexity, system reliability, and delivery speed—operating effectively within real-world constraints.
• Contribute to technical design and architecture decisions, helping shape the foundation of Toast’s care tooling as the platform evolves and scales.
• Mentor and support other engineers through code reviews, pairing, and technical guidance, fostering a culture of ownership, quality, and continuous improvement.

Do you have the right ingredients*?

• 5+ years of software engineering experience, with a strong track record building and operating production systems using Java, Kotlin, or other object-oriented languages.
• Proven ability to own complex systems or features end-to-end, from design through production and iteration.
• Experience integrating with third-party platforms or vendor systems, including working within external constraints and evolving APIs.
• Comfortable partnering closely with operations or internal teams to understand workflows and translate them into effective technical solutions.
• Strong focus on reliability and operational excellence, with an understanding of how system performance impacts business outcomes.
• Familiarity with modern AI-assisted development tools (e.g., Cursor, Claude, MCP servers).
• Self-starter who takes ownership of problems, builds relationships across teams, and drives work forward even when requirements are evolving.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

This role is for a current vacancy.

#LI-REMOTE

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. We are looking for a fullstack Senior Software Engineer to join the Toast IQ team to transform how Toast helps its customers run their restaurants.

Toast IQ has landed with our users with much excitement and an appetite for us to deliver more capabilities across the entire Toast ecosystem.  We believe that if we do our job right, restaurants using Toast IQ will spend less hours on operations, make better margins, generate more revenue, and have a better guest and employee experience, compared to other restaurants outside and within the Toast ecosystem.

This role includes responsibility for the experience delivered to our end users, the services backing that experience, and the integrations to other Toast products. 

A day in the life (Responsibilities)

• Join a collaborative team of Design, Product, QA, and other engineering members in developing robust and scalable full-stack software applications.
• Lead complex projects that improve functionality and reliability for our customers
• Provide design feedback and participate in code reviews to ensure implementation meet requirements
• Drive architectural discussions and influence the technical roadmap
• Advocate for best coding practices to raise the bar for you, your team, and the company
• Mentor and provide technical guidance to other team members
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements):

• 4+ years of backend experience in Java, Kotlin, or other object-oriented languages
• 1+ year of building agentic experiences
• Proficient with modern API and service design technologies (e.g. GraphQL, TF)
• Experience shipping both feature- and platform-enabling functionality
• Excellent cross-team communication skills on complex technical topics
• An appetite to work across the stack is a plus
• Passionate about technology and learning new things

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

This role is for a current vacancy.

#LI-REMOTE

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

About OpenTable: 

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

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

The Opportunity 

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

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

What You'll Do

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

Code craft and Architecture

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

Drive execution and outcomes

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

Team Contribution 

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

What We're Looking For

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

Nice to Have

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

Benefits and Perks

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

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

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

Work Environment & Flexibility

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

Inclusion

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

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

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

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

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

Responsibilities:

• Conduct threat modeling and security design reviews for new and changing application features, APIs, and integrations; provide actionable guidance to engineering and product teams.
• Partner with Product and Engineering to translate business requirements into security requirements, performing risk assessments and defining compensating controls when needed.
• Translate risk findings and incident learnings into prioritized remediation plans and mitigations, including short-term risk reduction and long-term design improvements.
• Build and maintain automation to scale the design review process and streamline vulnerability triage.
• Serve as a subject matter expert during security incidents. Assist in triage, analysis, and technical containment.
• Drive post-incident and post-release learning. Turn incident learnings into new design patterns, detection alerts, or developer training to prevent recurrence.
• Monitor the threat landscape to ensure our design reviews and IR playbooks stay ahead of modern attack vectors
• Evaluate and implement vendor security solutions that improve detection, response, and secure design, ensuring effective integration into security processes.

Our Ideal Candidate Will Have:

• 5-7 years of combined Information Security Experience
• B.S. or M.S. Computer Science or a related field, or equivalent experience
• A fast learning curve and a track record of partnering effectively with cross-functional teams to achieve security goals
• A "consultant" mindset with the ability to offer alternatives, partnering with engineers to find creative solutions that satisfy both security requirements and product deadlines
• Experience in assessing new application features and establishing secure guidelines for Product teams
• Comfort in the "heat of battle" with the technical depth to triage application-layer attacks and assist in steering a team toward containment
• Skill in explaining complex security concepts to audiences ranging from Product Managers to Senior Engineers
• Proficiency in at least one backend language (e.g. Java, Python, etc) and can navigate unfamiliar codebases to identify logic flaws and vulnerabilities,
• Solid understanding of network and web protocols.
• Experience with the security of intra-company and third-party APIs.
• Operate with a high level of independence
• Candidate Bonus Points for the Following:
  • Technical certifications within information security (CISSP, CCSP, OSCP, OSWE or equivalents)
  • Experience with access and identity management
  • Experience with SIEM and log management

Benefits:

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

There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The expected range of compensation for this position based in Toronto, Canada, including commission and/or bonuses is $130,000-$160,000 CAD.

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

Work Environment & Flexibility

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

Inclusion

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

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

At the HelloFresh Group, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Even after celebrating our 10th anniversary, we continue to see this mission spread around the world and beyond our wildest dreams. We are now a global food solutions group and the world's leading meal kit company, active in 18 countries across 3 continents. So, how did we do it? Our weekly boxes full of exciting recipes and fresh ingredients have blossomed into a community of customers looking for delicious, healthy and sustainable options. The HelloFresh Group includes our core brand, HelloFresh, as well as other brands such as Green Chef, EveryPlate, Chefs Plate, Factor_, YouFoodz, The Pets Table, and GoodChop.

S'more about the team

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

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

Lettuce share what this role will be responsible for

• Design, develop, and maintain scalable and reliable back-end services, focusing on distributed architecture and microservices.
• Conduct code reviews, promoting best practices in software development, testing, and deployment.
• Analyze system performance, identify bottlenecks, and implement optimizations to ensure optimal efficiency and reliability of pricing services.
• Stay up-to-date with industry trends and emerging technologies, applying relevant advancements to improve the team’s technology stack and processes.
• Contribute to architectural discussions and decisions, providing technical guidance and insights to shape the overall direction of solution design.
  
  

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

• Experience: Experience in software engineering, with a strong focus on back-end development and system architecture.
• Technical Skills: Proficiency in back-end technologies and programming languages (e.g., Go, Java) and a deep understanding of distributed systems and microservices architecture.
• Cloud Proficiency: Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and container orchestration tools (e.g., Docker, Kubernetes) for deploying and managing services at scale.
• Agile Methodologies: Solid experience in Agile development practices, with an ability to adapt to changing priorities and deliver high-quality results on time.
• Mentorship Skills: Strong mentorship abilities, with a passion for guiding and developing engineers while fostering a collaborative team culture.
• Analytical Mindset: Excellent analytical and troubleshooting skills, with a proactive approach to identifying and resolving technical challenges.
• Communication Skills: Effective verbal and written communication skills, capable of articulating complex technical concepts to diverse audiences and collaborating effectively with cross-functional teams.

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

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

Flexible Hybrid Approach

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

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

#LI-HYBRID

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

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

S'more about the team

Our New Ventures team is focused on growing our global footprint by launching our core products in new markets and expanding across multiple brands and verticals. We’re a globally distributed team operating across 7+ brands in 15+ countries, building desirable products and seamless, engaging experiences that customers haven’t seen before. With many exciting projects underway, we’re driven to generate the next billion-dollar business—so if you’re passionate about tackling bold challenges, join us!

We are a close-knit group of engineers of different stripes - developers, designers, and product owners - who are working together to solve interesting e-commerce and supply chain problems around how people eat. Sometimes, this involves implementing features to improve the user
journey and making it easier for our customers to buy amazing food. Other times, this means creating stable software solutions that keep our distribution centers running.

We are looking for an engineer to help implement solutions & write beautiful code, working with various team members as we build out our consumer facing applications & the infrastructure that supports them. As a member of our Toronto team, you’ll work with highly-skilled engineers, who in collaboration with our other global teams, have turned HelloFresh into the #1 meal delivery service in the world!

Lettuce share what this role will be responsible for

• Design, develop, and maintain scalable and reliable back-end services, focusing on distributed architecture and microservices.
• Lead the migration of critical services from a monolithic architecture to a microservices framework, ensuring seamless integration and high availability.
• Conduct code reviews and provide mentorship to junior engineers, promoting best practices in software development, testing, and deployment.
• Analyze system performance, identify bottlenecks, and implement optimizations to ensure optimal efficiency and reliability of services.
• Stay up-to-date with industry trends and emerging technologies, applying relevant advancements to improve the team’s technology stack and processes.
• Contribute to architectural discussions and decisions, providing technical guidance and insights to shape the overall direction of solution design.
  
  

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

• Experience: Experience in software engineering, with a strong focus on back-end development and system architecture.
• Technical Skills: Proficiency in back-end technologies and programming languages (e.g., Go, Java) and a deep understanding of distributed systems and microservices architecture.
• Migration Expertise: Hands-on experience in migrating applications from monolithic architectures to microservices, demonstrating problem-solving capabilities and technical leadership.
• Cloud Proficiency: Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and container orchestration tools (e.g., Docker, Kubernetes) for deploying and managing services at scale.
• Agile Methodologies: Solid experience in Agile development practices, with an ability to adapt to changing priorities and deliver high-quality results on time.
• Mentorship Skills: Strong mentorship abilities, with a passion for guiding and developing junior/senior engineers while fostering a collaborative team culture.
• Analytical Mindset: Excellent analytical and troubleshooting skills, with a proactive approach to identifying and resolving technical challenges.
• Communication Skills: Effective verbal and written communication skills, capable of articulating complex technical concepts to diverse audiences and collaborating effectively with cross-functional teams.
• Solid hands-on experience working with AI coding agents (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents as thought partners to onboard on unfamiliar codebases and navigate new areas of the code with confidence. You have a practical sense of how the context you provide to AI tools - specifications, constraints, examples - shapes output quality, and a developing awareness of how agentic outputs can fail, with growing habits around verifying, testing, and setting boundaries on AI-generated work.

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

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

Flexible Hybrid Approach

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

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

#LI-HYBRID

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

What you’ll be doing

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

What you’ll bring to our teams

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

Extra points

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

#LI-REMOTE

#LI-SH1
P24754_3365760

The Access Management Group 

The Access Management group drives billions of authentications every month. The group builds and supports single sign-on, strong authentication, provisioning, and threat protection technologies. Our Access Management service runs in the cloud on a secure, reliable, extensively audited platform with 99.99% availability.))

The Senior Software Engineer Opportunity

We are looking for an experienced and highly technical full stack software engineer to join the Authentication Experience team. Operating under the larger Access Management group, this team is responsible for building world-class authentication experiences for Okta’s Customer Identity (CIAM) clientele and to play a pivotal role in accelerating the adoption of the Okta Identity Engine, ensuring our customers can leverage the full power of our most advanced platform capabilities to build bespoke, high-performance identity journeys.

Okta supports a wide variety of organizations across both the Workforce and Consumer spaces. These diverse environments present unique challenges; no two organizations have the same requirements when it comes to the desired authentication experience for their end users. We are dedicated to striking the perfect balance between robust security and effortless usability. We are constantly building cutting-edge authentication mechanisms designed to make access seamless, specifically tailored for the fast-paced, user-centric world of consumer identity.

If you are driven to innovate, passionate about the intersection of product flexibility and security, and want to help shape how the world connects to technology—we’d love for you to join us.

What you’ll be doing 

• Partner closely with product managers and designers to bring cutting-edge phishing-resistant authenticators to life
• Design, develop, and maintain scalable, high-performance full-stack solutions that power identity security at enterprise scale
• Wear the customer hat — deeply understand user needs and translate them into robust technical solutions
• Champion code quality, maintainability, and best practices to ensure our solutions remain reliable and secure
• Stay ahead of industry trends and emerging technologies in identity and security, contributing ideas to keep our products innovative and effectiv

What you’ll bring to the role

• 5+ years of professional software development experience, with a strong focus on backend or full-stack engineering
• Deep proficiency in Java, including object-oriented design, multithreading, and performance optimization
• Experience with a modern frontend framework (e.g., React, Angular, Vue.js).
• Experience designing and building scalable, distributed systems and RESTful APIs
• Solid understanding of secure coding practices, authentication/authorization protocols (OAuth, OIDC, SAML), and identity management concepts
• Good understanding of modern cloud infrastructure (e.g. AWS, GCP, Azure)
• Proven ability to deliver high-quality, maintainable code, with a focus on automated testing and CI/CD practices
• Excellent problem-solving skills and the ability to debug complex systems
• Strong communication skills, with the ability to collaborate effectively with product managers, designers, and other engineer

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

• Experience with phishing-resistant authentications such as Passkeys or Okta FastPass

(P24770_3359191)

#BB-1

#LI-Hybrid 

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

What you’ll be doing

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

What you’ll bring to our teams

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

Extra points

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

#LI-REMOTE

#LI-SH1
P24750_3365759

The Customer First Team

We are a team of Identity and Access Management experts. We help customers, businesses, and organisations maximise their Okta IAM platform investment, providing rapid time-to-value in adoption and usage and promoting scalability and agility. Our team sits within the Customer First area - focused on ensuring the long term success of our customers.  Join our team! We’re building a world where Identity belongs to you.

Role Summary

Reporting to the Manager of Partner Delivery Success, this role will be responsible for leading and developing Okta partners to successfully deliver Okta services to our valued customers.

The Senior Delivery Success Manager (DSM) is responsible for developing partner delivery capability within a defined product domain and regional partner portfolio. This role ensures service delivery partners are prepared to successfully deploy Okta solutions through capability development, go-live validation, and delivery oversight.

Senior DSMs serve as the primary operational leaders, enabling partners to progress through the Service Delivery Partner maturity model and ensuring they deliver high-quality implementations.

This role works cross-functionally with Professional Services, Alliances, Sales, and Enablement teams to scale partner-led delivery while maintaining implementation quality.

Key Responsibilities

• Develop delivery capability across the assigned partner portfolio.
• Guide partners through the Service Delivery Partner maturity model.
• Identify specialization gaps and recommend enablement paths.
• Support partners pursuing product specializations (OWI, Auth0, Workflows, etc.).
• Encourage partner certification and skill development.
• Review and validate partner go-live submissions.
• Classify deployments according to Standard, Advanced, and Strategic complexity levels.
• Ensure deployments meet Okta delivery standards.
• Capture delivery feedback from Professional Services and customers.
• Serve as the delivery advisor for sales teams when identifying partners for deployments.
• Recommend partners based on capability, specialization, and deployment complexity.
• Assist in identifying partners capable of supporting complex customer architectures.

• Track ecosystem capability trends across assigned partners.
• Identify gaps in partner expertise or geographic coverage.
• Provide recommendations for partner enablement and recruitment.
• Partner closely with Professional Services on partner delivery quality feedback and co-delivery planning.
• Partner closely with Alliances to support relationship management and service delivery partner recruitment.
• Drive and track partner adoption to post-sales enablement.

What you’ll bring to the role

• 7+ years of experience in enterprise software delivery, professional services, or partner success roles.
• Experience working with system integrators or service delivery partners.
• Experience supporting enterprise software implementations.
• Strong understanding of identity and access management concepts.
• Familiarity with enterprise SaaS deployment models.
• Understanding of partner ecosystems and implementation services.
• Ability to guide partners through complex technology implementations.
• Strong cross-functional collaboration skills.
• Ability to evaluate partner capabilities and recommend improvement strategies.
• Excellent communication and stakeholder management skills.
• Ability to work with technical teams, sales teams, and executive stakeholders.

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

• Familiar with several programming languages (e.g., .NET, JavaScript, Python, Java).
• Familiar with open-source tools and development practices.
• Familiar with load balancers, reverse proxies, and Web Access Management tech (e.g., F5, Oracle, NGINX).
• Familiar with AI GPTs 

#LI-BF1

#LI-Hybrid

P25026_3399546

The Customer First Team

We are a team of Identity and Access Management experts. We help customers, businesses, and organisations maximise their Okta IAM platform investment, providing rapid time-to-value in adoption and usage and promoting scalability and agility. Our team sits within the Customer First area - focused on ensuring the long term success of our customers.  Join our team! We’re building a world where Identity belongs to you.

Role Summary

Reporting to the Manager of Partner Delivery Success, this role will be responsible for leading and developing Okta partners to successfully deliver Okta services to our valued customers.

The Senior Delivery Success Manager (DSM) is responsible for developing partner delivery capability within a defined product domain and regional partner portfolio. This role ensures service delivery partners are prepared to successfully deploy Okta solutions through capability development, go-live validation, and delivery oversight.

Senior DSMs serve as the primary operational leaders, enabling partners to progress through the Service Delivery Partner maturity model and ensuring they deliver high-quality implementations.

This role works cross-functionally with Professional Services, Alliances, Sales, and Enablement teams to scale partner-led delivery while maintaining implementation quality.

Key Responsibilities

• Develop delivery capability across the assigned partner portfolio.
• Guide partners through the Service Delivery Partner maturity model.
• Identify specialization gaps and recommend enablement paths.
• Support partners pursuing product specializations (OWI, Auth0, Workflows, etc.).
• Encourage partner certification and skill development.
• Review and validate partner go-live submissions.
• Classify deployments according to Standard, Advanced, and Strategic complexity levels.
• Ensure deployments meet Okta delivery standards.
• Capture delivery feedback from Professional Services and customers.
• Serve as the delivery advisor for sales teams when identifying partners for deployments.
• Recommend partners based on capability, specialization, and deployment complexity.
• Assist in identifying partners capable of supporting complex customer architectures.

• Track ecosystem capability trends across assigned partners.
• Identify gaps in partner expertise or geographic coverage.
• Provide recommendations for partner enablement and recruitment.
• Partner closely with Professional Services on partner delivery quality feedback and co-delivery planning.
• Partner closely with Alliances to support relationship management and service delivery partner recruitment.
• Drive and track partner adoption to post-sales enablement.

What you’ll bring to the role

• 7+ years of experience in enterprise software delivery, professional services, or partner success roles.
• Experience working with system integrators or service delivery partners.
• Experience supporting enterprise software implementations.
• Strong understanding of identity and access management concepts.
• Familiarity with enterprise SaaS deployment models.
• Understanding of partner ecosystems and implementation services.
• Ability to guide partners through complex technology implementations.
• Strong cross-functional collaboration skills.
• Ability to evaluate partner capabilities and recommend improvement strategies.
• Excellent communication and stakeholder management skills.
• Ability to work with technical teams, sales teams, and executive stakeholders.

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

• Familiar with several programming languages (e.g., .NET, JavaScript, Python, Java).
• Familiar with open-source tools and development practices.
• Familiar with load balancers, reverse proxies, and Web Access Management tech (e.g., F5, Oracle, NGINX).
• Familiar with AI GPTs 

#LI-BF1

#LI-Hybrid

P25026_3399546

The Customer First Team

We are a team of Identity and Access Management experts. We help customers, businesses, and organisations maximise their Okta IAM platform investment, providing rapid time-to-value in adoption and usage and promoting scalability and agility. Our team sits within the Customer First area - focused on ensuring the long term success of our customers.  Join our team! We’re building a world where Identity belongs to you.

Role Summary

Reporting to the Manager of Partner Delivery Success, this role will be responsible for leading and developing Okta partners to successfully deliver Okta services to our valued customers.

The Senior Delivery Success Manager (DSM) is responsible for developing partner delivery capability within a defined product domain and regional partner portfolio. This role ensures service delivery partners are prepared to successfully deploy Okta solutions through capability development, go-live validation, and delivery oversight.

Senior DSMs serve as the primary operational leaders, enabling partners to progress through the Service Delivery Partner maturity model and ensuring they deliver high-quality implementations.

This role works cross-functionally with Professional Services, Alliances, Sales, and Enablement teams to scale partner-led delivery while maintaining implementation quality.

Key Responsibilities

• Develop delivery capability across the assigned partner portfolio.
• Guide partners through the Service Delivery Partner maturity model.
• Identify specialization gaps and recommend enablement paths.
• Support partners pursuing product specializations (OWI, Auth0, Workflows, etc.).
• Encourage partner certification and skill development.
• Review and validate partner go-live submissions.
• Classify deployments according to Standard, Advanced, and Strategic complexity levels.
• Ensure deployments meet Okta delivery standards.
• Capture delivery feedback from Professional Services and customers.
• Serve as the delivery advisor for sales teams when identifying partners for deployments.
• Recommend partners based on capability, specialization, and deployment complexity.
• Assist in identifying partners capable of supporting complex customer architectures.

• Track ecosystem capability trends across assigned partners.
• Identify gaps in partner expertise or geographic coverage.
• Provide recommendations for partner enablement and recruitment.
• Partner closely with Professional Services on partner delivery quality feedback and co-delivery planning.
• Partner closely with Alliances to support relationship management and service delivery partner recruitment.
• Drive and track partner adoption to post-sales enablement.

What you’ll bring to the role

• 7+ years of experience in enterprise software delivery, professional services, or partner success roles.
• Experience working with system integrators or service delivery partners.
• Experience supporting enterprise software implementations.
• Strong understanding of identity and access management concepts.
• Familiarity with enterprise SaaS deployment models.
• Understanding of partner ecosystems and implementation services.
• Ability to guide partners through complex technology implementations.
• Strong cross-functional collaboration skills.
• Ability to evaluate partner capabilities and recommend improvement strategies.
• Excellent communication and stakeholder management skills.
• Ability to work with technical teams, sales teams, and executive stakeholders.

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

• Familiar with several programming languages (e.g., .NET, JavaScript, Python, Java).
• Familiar with open-source tools and development practices.
• Familiar with load balancers, reverse proxies, and Web Access Management tech (e.g., F5, Oracle, NGINX).
• Familiar with AI GPTs 

#LI-BF1

#LI-Hybrid

P25025

#LI-Hybrid

P15407_3389736

The Customer First Team

We are a team of Identity and Access Management experts. We help customers, businesses, and organisations maximise their Okta IAM platform investment, providing rapid time-to-value in adoption and usage and promoting scalability and agility. Our team sits within the Customer First area - focused on ensuring the long term success of our customers.  Join our team! We’re building a world where Identity belongs to you.

Role Summary

Reporting to the Manager of Partner Delivery Success, this role will be responsible for leading and developing Okta partners to successfully deliver Okta services to our valued customers.

The Principal Delivery Success Manager (DSM) is responsible for developing partner delivery capability within a defined product domain and regional partner portfolio. This role ensures service delivery partners are prepared to successfully deploy Okta solutions through capability development, go-live validation, and delivery oversight.

Principal DSMs serve as the primary operational leaders, enabling partners to progress through the Service Delivery Partner maturity model and ensuring they deliver high-quality implementations.

This role works cross-functionally with Professional Services, Alliances, Sales, and Enablement teams to scale partner-led delivery while maintaining implementation quality.

Key Responsibilities

• Develop delivery capability across the assigned partner portfolio.
• Guide partners through the Service Delivery Partner maturity model.
• Identify specialization gaps and recommend enablement paths.
• Support partners pursuing product specializations (OWI, Auth0, Workflows, etc.).
• Encourage partner certification and skill development.
• Review and validate partner go-live submissions.
• Classify deployments according to Standard, Advanced, and Strategic complexity levels.
• Ensure deployments meet Okta delivery standards.
• Capture delivery feedback from Professional Services and customers.
• Serve as the delivery advisor for sales teams when identifying partners for deployments.
• Recommend partners based on capability, specialization, and deployment complexity.
• Assist in identifying partners capable of supporting complex customer architectures.

• Track ecosystem capability trends across assigned partners.
• Identify gaps in partner expertise or geographic coverage.
• Provide recommendations for partner enablement and recruitment.
• Partner closely with Professional Services on partner delivery quality feedback and co-delivery planning.
• Partner closely with Alliances to support relationship management and service delivery partner recruitment.
• Drive and track partner adoption to post-sales enablement.

What you’ll bring to the role

• 10+ years of experience in enterprise software delivery, professional services, or partner success roles.
• Experience working with system integrators or service delivery partners.
• Experience supporting enterprise software implementations.
• Strong understanding of identity and access management concepts.
• Familiarity with enterprise SaaS deployment models.
• Understanding of partner ecosystems and implementation services.
• Ability to guide partners through complex technology implementations.
• Strong cross-functional collaboration skills.
• Ability to evaluate partner capabilities and recommend improvement strategies.
• Excellent communication and stakeholder management skills.
• Ability to work with technical teams, sales teams, and executive stakeholders.

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

• Familiar with several programming languages (e.g., .NET, JavaScript, Python, Java).
• Familiar with open-source tools and development practices.
• Familiar with load balancers, reverse proxies, and Web Access Management tech (e.g., F5, Oracle, NGINX).
• Familiar with AI GPTs 

#LI-BF1

#LI-Hybrid

#P25024

The Okta Digital Credentials Team

The Okta Digital Credentials team is building the future of digital identity. The way we prove our identity online is undergoing a fundamental shift, moving from scanning physical documents to using secure, portable digital credentials. In a world with AI-driven fraud, one-time verification is no longer enough; the industry needs a reusable, tamper-proof way to prove identity at scale.

To address this massive need, our focus is on building a Verifiable Digital Credentials (VDCs) platform to power this new ecosystem. VDCs are reusable digital records that prove identity, qualifications, or skills instantly, giving holders control to share only what's necessary. We are responsible for the infrastructure, user-facing features, and business of verifying, issuing, and holding VDCs for enterprise customers. 

We are a small team of engineers, product managers, and designers who are bringing Okta’s expertise in identity to define the future of VDCs, focusing on open standards and interoperability.

The Staff Software Engineer Opportunity

As a Staff Backend Engineer on the Okta Digital Credentials (ODC) team, you will define the technical direction of a new VDC identity ecosystem and set the standard for how we build it. 

This role demands deep technical expertise in backend architecture and the ability to influence decisions across the team and adjacent engineering groups. You will thrive in a fast-paced, zero-to-one environment, cutting through ambiguity to drive product-market fit.

A distinctive part of this role is setting the team's standard for AI-native engineering. This isn't about using autocomplete faster - it's about rethinking how a small, senior team ships production-quality code at pace. In practice, that means using AI tools for architectural reasoning and design review, generating and validating test coverage, accelerating code review cycles, and helping engineers build judgment about when AI output is trustworthy and when it isn't. You'll define what "good" looks like here and bring the team along.

You'll also be a force multiplier - mentoring senior engineers, raising the technical bar through architecture.

What you’ll be doing 

• Proactively shape the technical strategy and architecture of a greenfield VDC identity ecosystem, partnering with principal engineers to ensure decisions prioritize open standards and interoperability.
• Own architectural decisions in a fast-moving environment - balancing rapid delivery with long-term scalability, security, and platform integrity. Identify and mitigate technical risks before they become blockers; escalate dependencies early and widely.
• Own production health for your systems - incident response, root cause identification, and driving operational improvement projects (monitoring coverage, alert reduction, runbook quality).
• Champion high engineering standards across the team, including rigorous code reviews, comprehensive unit/functional testing, and architectural review processes to ensure the platform is tamper-proof.
• Drive continual evolution in the adoption of AI-native development practices, helping the team rethink how we design, review, and ship software with AI as a core part of the workflow.
• Proactively identify and prioritize tech debt; drive improvements in areas beyond feature work - CI/CD, observability, documentation, reliability, and support processes.
• Partner with Product and Design to understand and own the desired customer outcome, not just the technical deliverable.
• Actively invest in the growth of peer engineers, taking responsibility for raising the technical bar of the team as a whole

What you’ll bring to the role

• Operates well beyond basic AI tool usage - understands how to apply AI meaningfully across the full software development lifecycle, can evaluate and adopt new AI tooling with good judgment, and is able to establish practices and bring a team along.
• Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies - including the ability to make and defend architectural decisions with lasting org-wide impact.
•  Solid understanding of web authentication and authorization fundamentals - how auth flows work, token-based access (JWT, OAuth), and best practices for securing sensitive user data.                                                                                                                                               
• Deep expertise in building highly reliable, secure, enterprise-grade software using Java or Node.js.
• Proficiency in JavaScript or TypeScript, with the ability to navigate and contribute to the frontend to unblock feature development.
• Strong understanding of cloud architecture principles, with experience designing and operating large-scale services on AWS

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

• Hands-on experience with identity protocols such as OIDC4VP, OIDC4VCI, OAuth, and the W3C Verifiable Credentials data model.
• Prior experience leading a team of engineers through a meaningful shift in ways of working - whether around AI adoption, developer tooling, or engineering culture change.
• Practical knowledge of cryptography: public/private key infrastructure (PKI), digital signatures, and hashing, particularly in the context of Verifiable Credentials or DIDs.
• Experience building or maintaining publicly released SDKs used by external developers.
• Experience in one of the following areas is preferred: developing Identity and Access Management (IAM) tooling, working with blockchain technology, or contributing to a "zero-to-one" startup-like team

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#LI-Hybrid

#BB1

The Opportunity

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

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

What you’ll achieve

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

What you’ll bring

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

Bonus Points

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

#LI-Hybrid

P15407_3389736

The Team

Okta’s Workforce Identity Cloud Security Engineering group embraces innovation and paves the way to transform bright ideas into excellent security software solutions that help run large-scale, mission-critical software. Our Security engineering team has a niche skill-set that combines security domain expertise with the ability to design, implement and rollout security features and functionalities without adding friction to product functionality or performance. We are responsible for the ever-growing need to improve our customer safety and privacy by providing security services that are coupled with the core Okta product.

The Role

Okta’s Workforce Identity Cloud Security Engineering group is looking for an experienced and passionate Staff Software Security Engineer to join a team focused on designing and developing Security solutions to harden our frameworks & infrastructure. We encourage you to prescribe defense-in-depth measures, industry security standards, and enforce the principle of least privilege to help take our Security posture to the next level.

This is a high-impact role in a security-centric, fast-paced organization that is poised for massive growth and success. You will act as a liaison between the Security org and the engineering org to build technical leverage and influence the security roadmap and direction. You will focus on engineering security and privacy aspects of the systems used across our services while working on a weekly release cadence. You will be empowered to propose  stimulating new projects for our roadmap and rewarded with projects using  emerging technologies. Join us and be part of a company that is about to change the cloud computing landscape forever.

What you’ll be doing 

• Act as a liaison between the engineering and security org to develop innovative requirements for the security roadmap
• Evangelize security best practices across the engineering org
• Research, design, implement and own security oriented frameworks and features with the common goal of protecting Okta’s customers
• Routinely participate in cross-vertical code reviews with emphasis on Security
• Break down complex problems into sub-tasks while prototyping rapidly and iteratively contributing to security initiatives using agile practices
• Coach and mentor junior engineers in the team

What you’ll bring to the role

• 8+ years of development experience in designing and implementing software systems in Java, building highly reliable and mission-critical software
• 4+ years of work experience in designing and implementing security solutions for applications and distributed systems
• Work experience and excellent understanding in mitigating OWASP Top 10 attacks on applications, Application Security, Cryptography, Authentication, Authorization using Role-Based and Attribute-Based access controls
• Strong understanding of concepts such as Test-Driven development, Secure SDLC, Secure code reviews and the ability to identify and mitigate threat vectors and vulnerabilities in code and infrastructure
• Good understanding and experience in using cloud service providers such as AWS and GCP
• Good understanding of 'AI Secure by Design' practices throughout the development lifecycle, ensuring secure coding for AI-powered applications and validating the integrity of training datasets
• Engineer and implement AI-based security solutions (e.g., automated threat analysis) that enhance application and infrastructure security
• Developing and maintaining technical documentation such as cookbooks, design and architecture docs
• Troubleshooting and fixing production issues to ensure reliability, security and performance
• Work experience in using RDBMS like MySQL, good grasp of concepts such as  replication and clustering along with familiarity in data stores such as Redis and Elasticsearch
• Excellent grasp of software engineering principles coupled with strong written and verbal communication skills
• B.S or M.S in Computer Science or related fields

#LI-SM1

#LI-Hybrid

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About the Okta Identity Threat Protection

Identity Threat Protection (ITP) with Okta AI, goes beyond traditional login security to provide real-time protection against evolving threats. By seamlessly integrating with your existing security infrastructure, ITP analyzes user behavior and system data to identify and mitigate risks proactively.

We’re a team of full-stack engineers, data scientists, and ML engineers redefining cloud authentication. We aim to build a next-gen security platform that continuously evaluates threats and constructs a comprehensive risk graph. ITP is at the forefront of trust and security by prioritizing risk in authentication and authorization decisions.

Identity Threat Protection with Okta AI

The Senior Software Engineer Opportunity

Okta is seeking a Senior Software Engineer to join its ITP engineering team. This is an opportunity to solve critical security problems. The ideal candidate has experience building, launching, and supporting security products at scale.

You will share our passion and great pride in elegant solutions and will join an engineering team that strongly believes in designing for scale, rigorous code reviews, automated testing, and an iterative process to build high-quality enterprise software. You will demonstrate great aptitude for software engineering excellence and aren’t afraid to be a player-coach.

Our team is fast, innovative, and flexible, with agile release cycles and individual ownership. Here is an opportunity to work on stimulating security projects and emerging technologies, as well as a chance to work on complex security and ML challenges. 

What you’ll be doing 

• Own and manage the design, development, delivery, and supportability of cloud-native security products - from concept design to final implementation.
• Cross-group solid collaboration and interpersonal communication skills working with a variety of roles, including engineering, product management, design, support, and documentation
• Commit to high programming standards by reviewing code and writing unit and functional tests.
• Experience working with remote teams and individuals while ensuring quality, agility, and velocity
• Participate in rotations to expeditiously unblock customers and make them successful

What you’ll bring to the role

• 3+ years of experience building Java-based web applications
• Good understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
• Experience working in fast-paced software development teams leveraging continuous integration and deployment practices.
• Strong communication skills and the ability to work across functio

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

• Experience building anomaly detection systems or risk systems is a huge plus.
• Experience in cloud security, identity, and/or authentication protocols
• Experience with one or more UI technologies such as Angular, ReactJS, Backbone, and Vue.

#LI- Hybrid 

#BB-1

P8188_3331996

Senior Solution Sales Engineer - 

Position Description: 

We believe Solutions Engineers at Okta are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.  We believe in Okta’s Solutions Engineers empathize with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilize both. As a Senior Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of Fortune 500 customers on what is possible using Okta’s Identity Platform. 

Job Duties and Responsibilities:

• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.  
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Required Skills:

• 5+ years pre-sales engineering experience
• A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
• An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard 
• A Strong Understanding of Identity & Access Management (IAM)
• SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
• Lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Experience with cloud platforms: AWS, Azure, GCP.
• You are an elite communicator
• Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
• Confident dispensing knowledge to a highly skilled and experienced audience
• Typically 10-25% travel
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

 This role requires in-person onboarding and travel to an office in the U.S. during the first week of employment.

#LI-hybrid

#LI-LSS1

P12840_3414003

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

Cresta is building the AI platform for the modern contact center—one of the largest and most critical systems in the global economy. We combine human agents and AI agents to handle customer conversations at scale, helping enterprises improve customer experience, increase revenue, and reduce cost in real time.

This isn’t experimental AI. Our systems run in live production environments, shaping millions of customer interactions every day.

We’re looking for builders who want to take ownership and move fast.

About the Role

As a Software Engineer Intern, you’ll build systems that power real-time, AI-driven customer interactions in contact centers. You’ll work on production infrastructure where latency, reliability, and measurable business outcomes matter.

You may work across key areas such as:

• AI Agents & Automation – systems that handle and assist high-volume customer conversations
• Real-Time Agent Assist – delivering live guidance and insights during interactions
• Conversation Intelligence – extracting insights from millions of conversations
• AI Evaluation & Reliability – improving quality, consistency, and observability of LLM systems
• Platform & Infrastructure – enabling scalable, low-latency AI experiences

Cresta’s platform powers the full contact center workflow—from real-time assistance and automation to post-call analytics and continuous optimization.

You’ll operate in a high-ownership, fast-moving environment where interns are expected to contribute meaningfully, not just observe.

What You’ll Do

• Design and build systems that support real-time AI-powered customer interactions
• Work on features combining LLMs, data systems, and user-facing applications
• Collaborate with engineers, product, and ML teams to ship production-ready solutions
• Build systems for evaluation, monitoring, and continuous improvement of AI behavior
• Optimize for low latency, high throughput, and reliability at scale
• Take ownership of problems end-to-end—from identifying gaps to shipping solutions

What We’re Looking For

• Experience with one or more programming languages (e.g., Python, Go, Java, JavaScript, TypeScript)
• Interest in building user-facing products, backend systems, or real-time/data-intensive applications
• Familiarity with modern web development (frontend and/or backend), APIs, or system design fundamentals
• Understanding of building reliable, maintainable systems—this could include UI/UX quality, API design, or performance considerations
• Curiosity about LLMs, AI agents, or production AI systems (no prior ML experience required)
• Experience using AI-powered developer tools (e.g., Cursor, Claude Code) to accelerate development workflows
• Strong proficiency in agentic coding workflows—effectively collaborating with AI tools to design, implement, and iterate—is a strong plus
• A driver mindset—you proactively identify problems, take initiative, and push work forward rather than waiting for direction
• Strong problem-solving ability and a bias toward action

What You’ll Learn

• How to build and ship production-grade AI systems used in real customer environments
• How to design systems balancing model quality, latency, and reliability
• How AI agents are deployed, evaluated, and improved at scale
• How contact centers evolve from manual workflows to AI-driven operations

What Makes Cresta Different

• AI in production: Our systems operate in live contact centers, not demos
• Hybrid workforce: We’re defining how human and AI agents work together
• Real business impact: We directly influence revenue, cost, and customer experience
• Driver culture: We value people who take initiative, move fast, and own outcomes end-to-end
• Ownership & velocity: Engineers are trusted to ship and make decisions early

Internship Details

• Location: Toronto (remote-friendly; no in-office mandate, but we encourage in-person collaboration)
• Compensation: CAD $30-50/hour
  • Outstanding performers are eligible for return co-op and full-time offers well above our posted range.

• Perks:
• Lunch and dinner can be expensed (up to $25 each) while working in the office
• Well-stocked office with snacks and drinks
• Convenient downtown location near Union Station (public transit accessible)
• PTO: 4 days
• Exposure to cutting-edge AI systems in production
• Potential return offer

Why Join

At Cresta, you won’t just learn about AI—you’ll help build the systems redefining how contact centers operate. From real-time agent assist to autonomous AI agents, your work will directly impact how millions of customer conversations are handled.

Past interns consistently highlight Cresta’s strong engineering culture and ownership-driven environment as a standout compared to their previous internship experiences. We invest in giving interns real responsibility, meaningful projects, and close collaboration with experienced engineers.

If you want to own real problems, ship quickly, and work at the frontier of applied AI, you’ll fit right in.

Application Note

To help us find the best team match, please include a brief note on the type of problems you most enjoy working on. For example:

• Backend / distributed systems / infrastructure
• Frontend / UI engineering / product experience
• Full product development (end-to-end features)
• AI / machine learning / applied LLMs
• Data / analytics / experimentation
• Or anything else you’d like us to highlight

We can’t guarantee specific team placement, but we use this input to help guide matching wherever possible.

This posting will be used to fill a newly-created role.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

Overview:

Guidepoint's Engineering team thrives on delivering innovative technology solutions that accelerate revenue growth, reduce costs and increase efficiency and productivity. As Guidepoint works to achieve it's mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to create new products, improve existing platforms to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto. 

What You'll Do:

• Design, build, and maintain scalable test automation frameworks.
• Automate functional, API, and integration test cases by developing reusable and maintainable automated scripts.
• Analyze and troubleshoot issues related to automated and load testing, propose solutions, and enhance existing scripts where needed.
• Review test results, determine root causes of failures, assess severity and scope, and guide prioritization for resolution.
• Collaborate with developers to integrate automated tests into CI/CD pipelines, ensuring quality at every stage of delivery.
• Provide regular updates on defects, regression test status, and automation progress through Jira and other reporting tools.
• Assist in planning, developing, and delivering training on test automation frameworks and tools.
• Maintain clear documentation of automation processes, templates, and best practices while driving process improvements.
• Partner closely with engineering teams, product owners, and QA peers in Agile environments to define acceptance criteria and testing approaches.
• Stay updated with technology trends and continuously improve test automation practices.
• Support functional and regression testing efforts as needed to ensure end-to-end quality.

What You Have:

• 3–6 years of experience in an SDET or QA Automation engineering role with significant hands-on API automation experience.
• Strong programming skills in Java for test automation.
• Proven experience with automated testing tools and practices (e.g., Selenium or similar) along with Web Service / API testing.
• Hands-on experience testing REST APIs using tools or frameworks such as RestAssured, Postman (automation), or similar.
• Solid understanding of HTTP protocols, API contracts, and service-oriented architectures (SOA).
• Solid understanding of the software development lifecycle (SDLC) and exposure to Agile, Waterfall, and Scrum.
• Experience with performance/load testing tools and approaches, including APIs.
• Familiarity with ticketing systems (Jira preferred).
• In-depth knowledge of SOA frameworks, processes, strategies, and approaches.
• Practical experience with CI/CD and DevOps tools, with the ability to integrate API and UI automation into delivery pipelines.
• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or related field.

What We Offer:  

The annual base salary range for this position is $100,000 - $130,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

• Paid Time Off 
• Comprehensive benefits plan 
• Company RRSP Match 
• Development opportunities through the LinkedIn Learning platform 

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-NJ1

#LI-hybrid

About the Role:

We are seeking an experienced Principal Software Engineer (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 10+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Remote

Title: Senior Software Engineer

Location: Sweden, Stockholm or Canada; Toronto (hybrid work model)

Experience: Senior

Job Function:  Engineering 

Employment Type: Full-Time

Industry: Computer Network & Security

About the position

Keyfactor is looking for a highly capable and motivated Senior (Java) Software Engineer to join one of our agile teams. Your primary focus, together with the team is to support the continued growth of our flagship PKI Product offering. You have demonstrable experience in developing professional Java-based systems and have probably had a core engineering role in a product business. While an experience or an interest in this PKI, is meriting, it is more important for us to find someone who is passionate and capable, with the right mindset to be a part of helping us scale and become increasingly self-organizing. 

Job Responsibilities

• Design, implement, and maintain software features and functionality. 
• Conduct code reviews, pull requests and ensure adherence to coding standards. 
• Work closely with other engineers and cross-functional teams to solve complex problems. 
• Contribute to the improvement of software development processes and practices. 
• Identify and resolve technical issues and performance bottlenecks. 
• Provide guidance and support to less experienced engineers. 
• Work closely with the Quality Assurance teams and participate in QA efforts when needed. 
• Participate in internal and external product support when needed. 
• Contribute to technical documentation and project reports. 
• Engage in Agile ceremonies and contribute to iterative development processes. 

Minimum Qualification, Education, and Skills

Capabilities

• Excellent knowledge of Java software development and architecture.
• Strong experience of Java Enterprise (Jakarta EE).
• Deep knowledge of databases/SQL.
• Good knowledge of Linux.
• Knowledge of web application server and container deployment.
• Good knowledge of RESTful API.
• Extensive knowledge of software development in Agile environments. 
• Knowledge and experience in developing secure software. 
• Good knowledge of quality assurance methodologies and the system development life cycle. 
• Strategic thinking, exceptional problem-solving abilities, high-level proficiency in relevant tools and technologies.
• Proficiency in design patterns, strong architectural skills, and advanced debugging abilities.
• Ability to lead complex projects, drive strategic initiatives, and influence decision-making. 
• Ability to take ownership of complex tasks, mentor team members, and drive technical improvements.
• Deep knowledge of software architecture principles, code optimization, and continuous integration practices.

Leadership & Ownership

• Ability to lead complex technical initiatives and influence technical decision-making.
• Strong sense of ownership, with the ability to drive complex tasks to completion.
• Experience mentoring engineers and driving continuous technical improvement.

Who You Are

• Open-minded, adaptable team player who actively contributes to collaboration and knowledge sharing.
• Strong communicator with excellent interpersonal skills, effective with both technical and non-technical stakeholders. 
• Self-driven, action-oriented, and comfortable working both independently and collaboratively.
• Customer-focused mindset with a passion for delivering high-quality, impactful solutions.
• Positive, solution-oriented attitude with a strong sense of accountability.
• Excellent analytical skills, able to break down complex problems into actionable solutions. 
• Highly organized and able to manage priorities in fast-paced environments.

Experience

• Proven track record of working in Agile environments, with strong familiarity with Agile methodologies, tools, and best practices. 
• Demonstrated ability to mentor and support less experienced engineers, acting as a role model within the team. 
• Extensive knowledge of industry trends, company strategy, and cross-functional processes. 
• Strong command of English, both written and spoken, with the ability to communicate clearly in a professional environment. 
• Experience or knowledge in Public Key Infrastructure (PKI) is considered a strong advantage, but not required. 
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 
• Strong demonstrable experience in software engineering or a related field. 

  #LI-NA1

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

The Trust & Safety function at Lyft is dedicated to keeping every Lyft ride safe for both riders and drivers. We build and maintain the tools, features, and systems that deter bad actors, protect vulnerable populations, and reinforce trust across the platform. As an Android Engineer working on Trust & Safety, you'll work at the intersection of product, design, engineering, and policy to ship high-impact safety features to millions of users.

Responsibilities:

• Build and maintain Android features that directly protect riders and drivers.
• Partner closely with product managers, designers, data scientists, and backend engineers to translate safety concepts into polished, reliable user experiences.
• Critically evaluate proposed designs and product specs - identify logic gaps, edge cases, and potential abuse vectors before they reach production.
• Navigate tradeoffs thoughtfully in a fast-paced environment with many concurrent high-priority projects.
• Contribute to discussions around OKR planning and help find creative approaches to achieving team goals.
• Analyze internal systems and processes and identify opportunities for improvement and automation. 
• Share knowledge through brown bags, tech talks, and engineering best practices. 
• Participate in code, product, and design reviews to ensure quality and consistency.
• Keep up-to-date with Android, broader industry developments, and the latest AI tools to enhance productivity and engineering workflows. 

Experience:

• Experience shipping large-scale Android applications.
• Proficiency in Kotlin; Java experience is a plus but not required.
• Experience with architecture paradigms like unidirectional and reactive programming, and other patterns commonly used in the industry.
• Experience with Jetpack Compose, unit and snapshot testing, and creating shared components.
• Strong product sense - you care about usability, good design, and how features affect real people's safety.
• A critical and creative thinker who can spot flaws in proposed solutions and suggest better alternatives.
• Comfortable working in a highly cross-functional environment where regular collaboration with product and design partners is the norm, not the exception.
• Interest in growing into a technical leadership role over time, with the appetite and potential to take on greater scope and influence on the team.
• Bonus: experience pursuing side projects or open-source contributions.

Benefits:

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

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

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

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

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

This job fills an existing vacancy.

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

Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing rapidly, and we are looking for Technical Program Managers to help us scale. Come be part of a new team at Lyft focused on enabling and empowering engineering teams to deliver at scale.

Our drivers and passengers entrust Lyft with their personal information and travel details to get where they are going and expect us to keep that data safe. Lyft’s Privacy team is comprised of engineers and analysts dedicated to ensuring that appropriate data protections are applied at all times. We conduct privacy risk assessments, consult with organizational stakeholders, maintain Lyft’s privacy program, develop privacy policies, and advise on all matters related to privacy.

As a member of the Privacy team you will help ensure that privacy is built into our products by design.  Every day, you’ll meet and work with stakeholders across the company working on exciting new projects, help de-risk their product development, conduct privacy risk assessments, and serve as a trusted privacy adviser to teams across Lyft.

Responsibilities:

• Conduct privacy risk assessments of new and existing Lyft products, services, and processes
• Build strong cross-functional relationships with product and engineering teams and advise them on complex data privacy-related issues
• Analyze system designs and data flows to identify and mitigate potential privacy vulnerabilities
• Identify trends in privacy and regulatory requirements and compliance enforcement and drive necessary changes in Lyft’s data privacy program
• Communicate risk to both technical and non-technical stakeholders across the business and negotiate risk mitigation strategies
• Proactively drive development of privacy infrastructure, technical controls, and automation to make it easy for teams to achieve privacy excellence
• Develop and maintain internal privacy policies, guidelines, and best practices for Lyft

Experience:

• Deep knowledge of a broad range of privacy concepts and demonstrated ability to apply them to real-world situations
• Experience conducting privacy risk assessments, threat modeling, and risk mitigation
• Experience with technical privacy concepts (e.g., anonymization, encryption, differential privacy)
• Experience with privacy regulations (e.g., CCPA, GDPR, PIPEDA)
• Strong technical background and ability to negotiate effectively with engineering teams
• Strong cross-functional communication and leadership skills, with the ability to initiate and drive projects proactively
• Strong teamwork and collaboration skills
• Strong written and verbal communication skills
• Ability to own and manage multiple tasks and high priority projects
• Experience with Privacy Enhancing Technologies and development and/or deployment of privacy tooling a plus
• Code development, review, and maintenance experience in one or more programming languages (e.g., Python, Go, Java, C++) a plus
• IAPP privacy certifications (e.g., CIPP, CIPM, CIPT) a plus

Benefits:

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

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

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

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

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

This job fills an existing vacancy.

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

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

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

Why Lyft Ads?

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

Responsibilities:

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

Experience:

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

Benefits:

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

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

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

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

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

This job fills an existing vacancy.

About the team: 

Engineers on this team build the application our customers and internal teams use to configure, operate, manage, and visualize complex incentive compensation workflows.

This role sits within Forma’s ICM Operations platform, spanning areas such as Core Services, Business Intelligence, workflows, automation, APIs, claims management, next-generation reporting, and data exploration capabilities.

There are many complex and difficult areas across the product, especially across frontend architecture and user experience, because of high data volumes, wide configurability, complex business logic, and mission-critical operational workflows. The work is not just about building screens; it is about helping users understand, act on, and trust complex compensation data and operational processes.

We are low on meetings and high on accountability. Most of the team is in the EST timezone, with some teammates in PST and Central. We are far from maintenance or simple progressive evolution in many areas; there is a lot of room to make a meaningful impact on the overall user experience, product architecture, and frontend design patterns.

What you'll be doing: 

Reporting to the VP of Engineering the Senior Frontend Engineer will play a key role in building, evolving, and scaling Forma’s customer-facing and internal operations experiences.

You’ll work closely with product, design, engineering, operations, and leadership partners to deliver intuitive, performant, and reliable interfaces for configuring, operating, and analyzing complex sales compensation workflows. You’ll take ownership of significant frontend initiatives, contribute to product and technical direction, and help raise the quality of our frontend systems through thoughtful architecture, code quality, and collaboration.

You will help turn complex operational processes into clear, reusable, and scalable product experiences — from approvals and ticketing to claims workflows, policy-driven automation, dashboards, reporting, and data exploration.

You will:

• Build and ship complex frontend features with React, TypeScript, SASS, Jest, and Cypress.
• Create intuitive experiences for workflows, automation, claims, reporting, dashboards, and data exploration.
• Translate complex compensation and operational workflows into clear, scalable UI.
• Build reusable frontend and data visualization patterns that scale across customers.
• Improve frontend architecture, performance, accessibility, testing, and developer experience.
• Bring customer empathy, product thinking, and operational awareness to your work.

What we’re looking for

We’re looking for a frontend-focused engineer who is comfortable owning meaningful product work, collaborating across disciplines, and navigating ambiguity in a complex product domain.

This role is for someone who can take ownership of a product area from an engineering perspective, not just pick up tickets. You should be able to understand the business problem, reason through the user workflow, ask good questions, and partner with product and design to shape solutions that are technically sound, usable, and scalable.

You have:

• Strong experience building production web applications with React, TypeScript, and JavaScript.
• Experience with complex, data-heavy, configurable user interfaces.
• Experience building dashboards, BI tools, reporting, analytics, or data visualization products.
• Strong frontend fundamentals across architecture, component design, state, performance, and testing.
• Good judgment around UX, accessibility, visualization patterns, and information hierarchy.
• Product instincts and the ability to connect technical choices to user and business outcomes.
• Comfort working with complex workflows, APIs, automation, claims, or policy-driven systems.
• Strong communication skills and a collaborative, candid, customer-focused working style.

Nice to have:

• Experience working on enterprise SaaS products.
• Experience with compensation, finance, workflow automation, analytics, business intelligence, or data-heavy operational applications.
• Experience building reusable data visualization, dashboarding, reporting, or exploration patterns.
• Familiarity with Python, Django, APIs, Postgres, or backend systems.
• Experience contributing to design systems, frontend platforms, or shared component libraries.
• Experience designing frontend experiences that support both internal operations teams and external customers.

Technologies we use

Frontend: JavaScript, React, TypeScript

Backend: Java/Springboot, Django, Postgres

Infrastructure: AWS, Docker

What success looks like: 30/60/90 days

First 30 days

You’ll focus on learning the product, team, codebase, customer context, and the operational workflows that power Forma’s ICM Operations platform.

By the end of your first 30 days, you will have:

• Built a strong understanding of Forma.ai’s product, customer problems, and sales compensation domain.
• Developed context on the ICM Operations platform, including Core Services, Business Intelligence, workflows, automation, APIs, claims management, reporting, and data exploration capabilities.
• Set up your development environment and become comfortable navigating the frontend codebase.
• Learned the team’s engineering practices, release process, testing expectations, and collaboration norms.
• Built relationships with engineering, product, design, operations, and customer-facing teammates.
• Shipped small to medium frontend improvements or bug fixes with support from the team.
• Started identifying areas of frontend complexity, UX friction, technical debt, or inconsistent data visualization patterns where you may be able to contribute.
• Begun developing an understanding of how customers and internal teams use Forma to manage mission-critical operational workflows.

First 60 days

You’ll begin owning more substantial frontend work and contributing to product and technical decisions.

By the end of your first 60 days, you will have:

• Taken ownership of one or more meaningful frontend features or product improvements within the ICM Operations platform.
• Collaborated with product, design, operations, and backend engineering to clarify requirements, edge cases, workflows, and user needs.
• Delivered well-tested, maintainable frontend code aligned with team standards.
• Contributed to dashboard, reporting, workflow, claims, automation, or data exploration experiences.
• Demonstrated sound judgment in selecting frontend interaction and visualization patterns for specific user problems.
• Participated actively in code reviews, technical discussions, and product discovery conversations.
• Contributed improvements to frontend patterns, components, tests, or developer experience.
• Built enough domain context to make thoughtful tradeoffs between usability, technical complexity, scalability, and delivery timelines.
• Started identifying opportunities to make frontend patterns more reusable across customers and use cases.
• Begun mentoring or supporting other engineers in areas where you have expertise.

First 90 days

You’ll be operating as a trusted senior frontend contributor on the team.

By the end of your first 90 days, you will have:

• Independently led frontend delivery for a complex feature or significant product area.
• Helped improve the quality, usability, performance, or maintainability of a key part of Forma’s ICM Operations platform.
• Delivered or meaningfully advanced frontend experiences related to workflows, automation, claims management, reporting, dashboards, APIs, or data exploration.
• Built strong working relationships with product, design, backend engineering, operations, and customer-facing partners.
• Demonstrated strong technical and product judgment in frontend architecture and implementation decisions.
• Shown an ability to reason from business problem to user workflow to frontend solution.
• Contributed to reusable frontend or visualization patterns that can scale across a broader client base.
• Raised the quality bar through code reviews, documentation, testing, and mentorship.
• Contributed to the team’s frontend roadmap by identifying opportunities for simplification, consistency, scalability, and better user outcomes.
• Developed a clear understanding of where you can make a longer-term impact at Forma.ai.

Additional Job Info:

• This position is for an existing vacancy
• Salary Range: 150-190K CAD

About the team:

The Core Services team is responsible for the foundational systems that power how Forma’s platform operates at scale. This includes service-to-service communication, permissions and access control, release infrastructure, and observability.

As our platform scales toward a more distributed, multi-service architecture, this team plays a critical role in ensuring systems remain reliable, secure, and easy to operate. The work here sits at the intersection of backend engineering and infrastructure, with a strong emphasis on building robust, scalable software systems.

We are low on meetings and high on accountability, with most of the team in the EST time zone.

What you'll be doing:

Reporting to the VP of Engineering, you will help lead the design and development of foundational platform capabilities that support all backend services.

You will work on high-impact, cross-cutting problems that shape how engineers build, ship, secure, and operate services at Forma. You’ll spend significant time designing APIs, data models, application workflows, shared libraries, and backend services that other teams rely on.

Key areas of ownership include:

• Designing and implementing systems for roles, permissions, and access control across services
• Defining how services access shared permission models and identity data
• Defining how user permissions carry across product surfaces, not just machine-to-machine service authorization
• Building shared backend capabilities that support workflows such as approvals, ticketing, and cross-service coordination
• Building MCP connectors to Forma services, enabling AI tools and agents to securely access product data, workflows, and backend capabilities
• Improving and standardizing CI/CD pipelines across teams
• Establishing robust observability practices, including distributed tracing and monitoring across services
• Helping guide the transition toward a more service-oriented architecture

You will be working on some of the most critical and complex engineering challenges at Forma, with significant influence over system design and engineering practices.

What skills / traits are we looking for:

• Strong experience designing and building distributed backend systems
• Strong application engineering skills, including API design, data modeling, service boundaries, and production-quality backend code
• Experience with AI-enabled developer tooling, MCP, or internal engineering automation
• Experience working with service-oriented or microservices architectures
• Deep understanding of authentication, authorization, and access control patterns
• Previously owned or improved CI/CD systems, release processes, and production workflows
• Track record of raising reliability and observability across service boundaries (tracing, correlation, SLOs, or post-incident improvements that team adopted).
• Excellent written and verbal communication skills
• Ability to influence technical direction and collaborate across teams
• High ownership mindset with attention to detail

Nice to have:

• Experience with distributed tracing and observability tooling
• Exposure to infrastructure and platform engineering concepts
• Experience working in high-growth or scaling engineering teams

Technologies we use:

• Backend: Java, Django, Postgres
• Infrastructure: AWS, Docker, GitHub Actions, Databricks, Datadog, Grafana, Kubernetes, Helm, Argo

What success looks like:

First 30 Days

• Develop a deep understanding of Forma’s backend architecture, service boundaries, core infrastructure, CI/CD pipelines and release workflows
• Get hands-on with the codebase by contributing production code to core services or shared libraries
• Identify gaps in current implementations around service communication, auth, or observability
• Produce at least one concrete technical proposal (design doc) targeting a high-impact core services improvement

60 Days

• Own and deliver a meaningful backend/platform improvement within Core Services, such as a permissions access layer, approval workflow component, service auth pattern, or shared application library
• Write and ship well-designed, production-quality code that improves product capabilities, system reliability, or developer workflows
• Contribute to technical design discussions with clear tradeoffs and implementation plans
• Begin shaping standards for how services interact across auth, permissions, data access, workflow ownership, and API boundaries

90 Days

• Lead the design and implementation of a complex, cross-service engineering solution, such as a permissions framework, approval workflow subsystem, or inter-service authorization model
• Drive adoption of new patterns through high-quality code, documentation, and collaboration
• Establish engineering best practices for building and operating services in a distributed environment
• Act as a technical leader by raising the bar for code quality, system design, maintainability, and production ownership

 
Additional Job Info:

• This position is for an existing vacancy

About the team

Engineers on this team build the application our customers and internal teams use to configure, operate, manage, and visualize complex incentive compensation workflows. There are many complex and difficult areas across the product, especially across frontend architecture and user experience, because of high data volumes, wide configurability, complex business logic, and mission-critical operational workflows. The work is not just about building screens; it is about helping users understand, act on, and trust complex compensation data and operational processes.

We are low on meetings and high on accountability. Most of the team is in the EST timezone, with some teammates in PST and Central. We are far from maintenance or simple progressive evolution in many areas; there is a lot of room to make a meaningful impact on the overall user experience, product architecture, and frontend design patterns.

What you’ll be doing

Reporting to the VP of Engineering, the Staff Frontend Engineer will play a critical role in shaping the technical direction, architecture, and long-term evolution of Forma’s customer-facing and internal operations experiences.

You’ll operate as a frontend technical leader, working across teams to drive alignment, set standards, and solve complex, ambiguous problems in a highly configurable, data-intensive product. You’ll partner closely with product, design, engineering, and leadership to define not just what we build, but how we build it — ensuring our frontend systems are scalable, consistent, and built for long-term velocity.

You will lead the design and development of foundational frontend systems, influence product and platform strategy, and help the team navigate complexity in workflows, automation, reporting, and data exploration at scale.

You will:

• Lead the architecture and evolution of Forma’s frontend systems, patterns, and best practices.
• Drive large, cross-cutting frontend initiatives spanning multiple product areas and teams.
• Translate complex compensation and operational workflows into scalable, extensible UI systems and abstractions.
• Define and standardize reusable frontend and data visualization patterns across the platform.
• Partner with product and design to shape ambiguous problem spaces into clear, scalable solutions.
• Improve frontend performance, reliability, accessibility, testing strategy, and developer experience at a systems level.
• Mentor and guide engineers across the team, raising the overall quality and consistency of frontend development.
• Influence technical strategy, roadmap planning, and prioritization decisions.
• Identify and address systemic frontend challenges, including architecture, state management, and data handling at scale.
• Bring strong product thinking, customer empathy, and operational awareness to complex problem spaces.

What we’re looking for

We’re looking for a highly experienced frontend engineer who thrives in ambiguous environments, enjoys solving system-level problems, and can influence both technical and product direction.

This role is for someone who goes beyond owning features — you own systems, patterns, and outcomes across teams. You should be able to connect business goals to technical strategy, guide teams through complexity, and make pragmatic decisions that balance scalability, usability, and delivery.

You have:

• Deep experience building and scaling production web applications with React, TypeScript, and JavaScript.
• Proven experience designing frontend architecture and systems for complex, data-heavy, configurable applications.
• Experience leading large frontend initiatives or platform-level efforts across teams.
• Strong expertise in component design, state management, performance optimization, and testing at scale.
• Experience building dashboards, BI tools, reporting, analytics, or data visualization platforms.
• Excellent judgment around UX, accessibility, information hierarchy, and visualization patterns.
• Strong product instincts and the ability to influence product direction through technical insight.
• Experience working with complex workflows, automation systems, APIs, or policy-driven platforms.
• A track record of mentoring engineers and raising the technical bar across a team or organization.
• Strong communication skills with the ability to align stakeholders and drive decisions across disciplines.

Nice to have

• Experience working on enterprise SaaS platforms at scale.
• Experience in compensation, finance, workflow automation, analytics, or operational tooling.
• Experience building or leading design systems, frontend platforms, or shared component libraries.
• Familiarity with backend systems (Python/Django, Java/Springboot, APIs, Postgres).
• Experience designing systems that support both internal operations teams and external customers.
• Experience influencing or defining engineering strategy at the team or org level.

Technologies we use

Frontend: JavaScript, React, TypeScript

Backend: Java/Springboot, Django, Postgres

Infrastructure: AWS, Docker

What success looks like: 30/60/90 days

First 30 days

You’ll focus on building deep context across the product, architecture, and organization.

By the end of your first 30 days, you will have:

• Developed a strong understanding of Forma.ai’s product, customers, and the sales compensation domain.
• Built a clear mental model of the frontend architecture, key systems, and areas of complexity.
• Formed relationships with engineering, product, design, and leadership stakeholders.
• Identified high-impact opportunities for frontend improvements across architecture, UX, and systems.
• Contributed to technical discussions and begun shaping frontend direction.
• Shipped targeted improvements while building broader context.

First 60 days

You’ll begin driving meaningful technical initiatives and influencing direction.

By the end of your first 60 days, you will have:

• Taken ownership of a cross-cutting frontend initiative or system-level improvement.
• Influenced product and technical decisions through strong architectural and product thinking.
• Introduced or improved frontend patterns, abstractions, or standards.
• Helped teams navigate complexity in workflows, data visualization, or state management.
• Begun mentoring engineers and raising the quality bar through reviews and guidance.
• Identified opportunities to improve consistency and reuse across the platform.

First 90 days

You’ll be operating as a trusted technical leader for frontend across the organization.

By the end of your first 90 days, you will have:

• Led the design and delivery of a major frontend initiative or architectural improvement.
• Established or significantly advanced frontend standards, patterns, or platform capabilities.
• Influenced roadmap decisions and helped align teams on scalable frontend approaches.
• Improved the performance, usability, and maintainability of key product areas.
• Mentored engineers and contributed to a stronger frontend culture across the team.
• Identified and begun executing on longer-term frontend investments.
• Demonstrated clear impact on both user experience and engineering velocity.

Additional Job Info:

• This position is for an existing vacancy

About the Team

Engineers on this team construct our rules-based calculating engine for processing sales commissions. This might sound simple if you have never been exposed to sales comp plans, it is not! We are low on meetings, high on accountability. Most of the team are in EST time zone but we have a few located in PST and Central as well. We are far from maintenance / progressive evolution in many areas, there is a lot of room to make a big impact in the overall design.

What you’ll be doing

Reporting to the Manager of Data Platform, you will play a critical role in the evolution of our Spark based data platform. You'll lead development efforts for our complex, data-rich platform features while being an example to the team of code quality and thoughtful software design. You will be working on the most challenging code at Forma.

As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints others may not see, and advocating for improvements that strengthen the long-term integrity of the system. We value engineers who bring forward thoughtful perspectives - even when they challenge assumptions - and who help the team see around corners.

You will:

• Design and evolve backend services that power product workflows.
• Architect data models representing hierarchical & graph structures, relationships, and large-scale enterprise datasets.
• Build deterministic, reliable systems that allow customers to reason clearly about their data.
• Drive architectural decisions that balance extensibility, performance, and operational simplicity.
• Improve observability, testing strategy, and production reliability across backend services.
• Partner closely with Product to translate nuanced business requirements into clean, scalable designs.
• Mentor engineers across levels and help raise the bar for backend engineering standards.
• Use, and demonstrate using, AI tooling to improve implementation velocity while thoughtfully investing in technical and product specifications

What We're Looking for:

• Significant experience designing and building complex backend systems in production environments.
• Demonstrated ability to surface unarticulated risks, propose alternative approaches, and advocate for architectural improvements with sound technical reasoning.
• Expertise in at least one production-grade backend language (e.g., Python, Java, Kotlin, Go, C#, etc.).
• Strong foundation in relational schema design, data modelling, and SQL.
• Background working with Spark, or other ETL tools / frameworks
• Experience working with hierarchical, graph-like, or relationship-heavy data structures.
• Familiarity with graph databases or graph-based modelling concepts is a strong plus.
• Excellent written and verbal communication skills.
• A track record of improving scalability, reliability, and observability in distributed or data-intensive systems.
• A desire to influence architecture and product direction - not just implement tickets.
• Thrive in a collaborative, detail-oriented environment across Engineering, Product, and Analytics.

Nice to have:

• Experience building SaaS products serving mid-market or enterprise customers.
• Experience building rule-driven systems, validation workflows, or approval/governance platforms.
• Familiarity with AWS-based infrastructure and Kubernetes.
• Exposure to Sales Performance Management (SPM), RevOps, Incentive Compensation (ICM), or related domains. ****

Technologies we use

Frontend: JavaScript, React, TypeScript

Backend: Java/Springboot, Django, Postgres

Infrastructure: AWS, Docker

What success looks like: 30/60/90 days

First 30 days

You’ll focus on building deep context across the product domain, backend architecture, and the data models that power Forma’s platform.

By the end of your first 30 days, you will have:

• Developed a strong understanding of Forma.ai’s product, customers, and sales performance domain.
• Built a clear mental model of the backend architecture, core services, and data flows across the system.
• Gained familiarity with key data models, including hierarchical structures, relationships, and workflow-driven entities.
• Set up your development environment and become comfortable navigating the codebase, services, and infrastructure.
• Learned the team’s engineering practices around testing, observability, deployment, and reliability.
• Built relationships with engineering, product, and analytics partners.
• Contributed to technical discussions, asking thoughtful questions and identifying early areas of complexity or risk.
• Shipped small but meaningful improvements or fixes to build familiarity with the system.
• Started identifying opportunities to improve data modeling, system clarity, or backend reliability.

First 60 days

You’ll begin owning meaningful backend systems and influencing technical decisions.

By the end of your first 60 days, you will have:

• Taken ownership of a significant backend component, service, or workflow.
• Designed and delivered well-structured, maintainable backend code aligned with system standards.
• Partnered closely with Product to translate complex business requirements into scalable backend designs.
• Demonstrated strong judgment in data modeling, especially around relationships, hierarchy, and workflow representation.
• Identified and surfaced architectural risks, edge cases, or inconsistencies in existing systems.
• Proposed and, where appropriate, implemented improvements to backend architecture, data models, or service boundaries.
• Contributed to improvements in observability, testing, and production reliability.
• Participated actively in code reviews and technical design discussions, raising the bar for quality and clarity.
• Begun mentoring or supporting other engineers in areas of strength.
• Built enough system context to make informed tradeoffs between performance, extensibility, and simplicity.

First 90 days

You’ll be operating as a trusted technical leader across backend systems.

By the end of your first 90 days, you will have:

• Led the design and delivery of a complex backend initiative spanning multiple services or domains.
• Introduced or significantly improved core data models, system architecture, or workflow handling.
• Demonstrated the ability to anticipate and mitigate long-term architectural risks.
• Influenced technical direction through clear, well-reasoned proposals and design decisions.
• Improved the reliability, observability, or scalability of critical backend systems.
• Established strong working relationships across Engineering, Product, and Analytics.
• Elevated engineering standards through mentorship, design reviews, and technical guidance.
• Helped the team better reason about complex, data-intensive workflows through clearer system design.
• Identified and begun executing on longer-term backend investments that improve system integrity and developer velocity.
• Demonstrated clear impact on both system quality and the team’s ability to deliver confidently at scale.

Additional Job Info:

• This position is for an existing vacancy

About the Team

We build enterprise software that helps organizations optimize sales performance, enabling go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Staff Backend Engineers to join our application teams. You’ll work alongside other staff, senior, and early-career engineers to define, evolve, and scale the systems that power enterprise-grade product workflows. This is an opportunity to influence both technical direction and product direction. We are low on meetings, high on accountability. Most of the team are in EST time zone but we have a few located in AST, PST and Central as well.

What you’ll be doing

You will play a critical role in the continued evolution of our application stack. You will lead development efforts for complex backend capabilities and serve as a technical example in system design, code quality, and long-term maintainability. You’ll operate at the intersection of data modelling, business logic, and enterprise scale reliability.

As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints others may not see, and advocating for improvements that strengthen the long-term integrity of the system. We value engineers who bring forward thoughtful perspectives - even when they challenge assumptions - and who help the team see around corners.

You will:

• Design and evolve backend services that power product workflows.
• Architect data models representing hierarchical & graph structures, relationships, and large-scale enterprise datasets.
• Build deterministic, reliable systems that allow customers to reason clearly about their data.
• Drive architectural decisions that balance extensibility, performance, and operational simplicity.
• Improve observability, testing strategy, and production reliability across backend services.
• Partner closely with Product to translate nuanced business requirements into clean, scalable designs.
• Mentor engineers across levels and help raise the bar for backend engineering standards.
• Use, and demonstrate using, AI tooling to improve implementation velocity while thoughtfully investing in technical and product specifications

What We're Looking for:

• Significant experience designing and building complex backend systems in production environments.
• Demonstrated ability to surface unarticulated risks, propose alternative approaches, and advocate for architectural improvements with sound technical reasoning.
• Expertise in at least one production-grade backend language (e.g., Python, Java, Kotlin, Go, C#, etc.).
• Strong foundation in relational schema design, data modelling, and SQL.
• Experience working with hierarchical, graph-like, or relationship-heavy data structures.
• Familiarity with graph databases or graph-based modelling concepts is a strong plus.
• Excellent written and verbal communication skills.
• A track record of improving scalability, reliability, and observability in distributed or data-intensive systems.
• A desire to influence architecture and product direction - not just implement tickets.
• Thrive in a collaborative, detail-oriented environment across Engineering, Product, and Analytics.

Nice to have:

• Experience building SaaS products serving mid-market or enterprise customers.
• Experience building rule-driven systems, validation workflows, or approval/governance platforms.
• Familiarity with AWS-based infrastructure and Kubernetes.
• Exposure to Sales Performance Management (SPM), RevOps, Incentive Compensation (ICM), or related domains. ****

Technologies we use

Frontend: JavaScript, React, TypeScript

Backend: Java/Springboot, Django, Postgres

Infrastructure: AWS, Docker

What success looks like: 30/60/90 days

First 30 days

You’ll focus on building deep context across the product domain, backend architecture, and the data models that power Forma’s platform.

By the end of your first 30 days, you will have:

• Developed a strong understanding of Forma.ai’s product, customers, and sales performance domain.
• Built a clear mental model of the backend architecture, core services, and data flows across the system.
• Gained familiarity with key data models, including hierarchical structures, relationships, and workflow-driven entities.
• Set up your development environment and become comfortable navigating the codebase, services, and infrastructure.
• Learned the team’s engineering practices around testing, observability, deployment, and reliability.
• Built relationships with engineering, product, and analytics partners.
• Contributed to technical discussions, asking thoughtful questions and identifying early areas of complexity or risk.
• Shipped small but meaningful improvements or fixes to build familiarity with the system.
• Started identifying opportunities to improve data modeling, system clarity, or backend reliability.

First 60 days

You’ll begin owning meaningful backend systems and influencing technical decisions.

By the end of your first 60 days, you will have:

• Taken ownership of a significant backend component, service, or workflow.
• Designed and delivered well-structured, maintainable backend code aligned with system standards.
• Partnered closely with Product to translate complex business requirements into scalable backend designs.
• Demonstrated strong judgment in data modeling, especially around relationships, hierarchy, and workflow representation.
• Identified and surfaced architectural risks, edge cases, or inconsistencies in existing systems.
• Proposed and, where appropriate, implemented improvements to backend architecture, data models, or service boundaries.
• Contributed to improvements in observability, testing, and production reliability.
• Participated actively in code reviews and technical design discussions, raising the bar for quality and clarity.
• Begun mentoring or supporting other engineers in areas of strength.
• Built enough system context to make informed tradeoffs between performance, extensibility, and simplicity.

First 90 days

You’ll be operating as a trusted technical leader across backend systems.

By the end of your first 90 days, you will have:

• Led the design and delivery of a complex backend initiative spanning multiple services or domains.
• Introduced or significantly improved core data models, system architecture, or workflow handling.
• Demonstrated the ability to anticipate and mitigate long-term architectural risks.
• Influenced technical direction through clear, well-reasoned proposals and design decisions.
• Improved the reliability, observability, or scalability of critical backend systems.
• Established strong working relationships across Engineering, Product, and Analytics.
• Elevated engineering standards through mentorship, design reviews, and technical guidance.
• Helped the team better reason about complex, data-intensive workflows through clearer system design.
• Identified and begun executing on longer-term backend investments that improve system integrity and developer velocity.
• Demonstrated clear impact on both system quality and the team’s ability to deliver confidently at scale.

Additional Job Info:

• This position is for an existing vacancy

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Software Developer Intern who will work closely with the MyGeotab Reporting and Authentication team to collaborate, develop and troubleshoot cases that directly impact how our customers interact with our application. If you love technology and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Software Developer Intern your key area of responsibility will be contributing to the development and maintenance of backend services, APIs, and frontend features. You will need to work closely with senior software developers and product manager to deliver high-quality software solutions in an Agile environment.

The opportunity:

• 12 month work-term beginning September 2026.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.
• This posting is for an existing vacancy.

How you'll make an impact:

• Design, develop, and maintain software features across backend services and/or frontend applications using languages such as C#, TypeScript, or Python.
• Write clean, testable, and well-documented code following established engineering standards and best practices.
• Develop and maintain unit and integration tests to ensure reliability and code quality across the platform
• Investigate, diagnose, and resolve bugs identified through QA testing or production monitoring systems.
• Participate actively in Agile ceremonies including sprint planning, daily stand ups, code reviews, and retrospectives.
• Collaborate with product managers and designers to translate requirements into technical implementations
• Contribute to internal documentation of code, APIs, and architectural decisions to support long-term maintainability.

What you'll bring to the role:

Who we are

About Stripe 

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the organization 

Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe’s systems and the productivity and sentiment of Stripe’s people. 

You may work on a wide variety of critical business areas including: 

• Core Infrastructure - We’re the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
• Developer Infrastructure - We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models
• Data Platform -  We’re responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics and search capabilities. The stack is supported by a collection of internally developed large scale distributed services and several popular open source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high scale services and thousands of individual Stripes across the company. 
• Admin Platform - We empower Stripes to quickly build secure and delightful internal products in service of their users.
• Support Experience - We build and improve our 24x7 email, phone, and chat support channels, our Premium Support and Enterprise Services products, our Support Site, and more. This includes how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions.
• Service Platform - We enable engineering teams at Stripe to easily write and ship useful services that correctly, reliably, and efficiently leverage platform capabilities. 

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What you’ll do

You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.

Responsibilities

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements 

• Strong software engineering skills and a passion for one of the areas above.
• Ability to write high quality code (in programming languages like Go, Java, C/C++ etc)
• 2-12+ years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

Preferred Qualifications

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Holds yourself and others to a high bar when working with production

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

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

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

What you'll do

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

Responsibilities

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

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

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

Preferred qualifications

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

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Revenue and Financial Automation (RFA) team at Stripe is building a modern, revenue-focused, financial management platform for fast growing, digital native companies. 

• Billing: Hundreds of thousands of businesses of all sizes and types use Stripe Billing to collect revenue for recurring and one-time payments across a variety of different pricing models—from selling SaaS subscriptions, to orchestrating multi-stage contracts, delivering Usage-Based Billing, and providing recovery and retention tools to prevent customer churn.

Note: exact team matching for one of the pods will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here. 

What you’ll do

As an engineer on the team, you’ll be responsible for shaping and building a suite of products that let our users model and operate their business more efficiently. You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day. In this cross functional role, you will collaborate with experts in infrastructure, security, design, and operations to build mission critical internal and external features that power Stripe users around the world. 

Responsibilities

• Design the next generation of Stripe products, to meet the high growth needs of our company and customers for years to come.
• Deliver value through a strong collaborative and users-first approach with stakeholders and customers.
• Mentor engineers to help them grow
• Debug and solve critical production issues across services and multiple levels of the stack

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 2-12+ years of experience in backend software development
• Ability to write high quality code (in programming languages like Go, Java, C/C++, etc.)
• Hands-on experience contributing to or building large scale distributed systems
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

Preferred Qualifications

• Familiarity with event-driven architectures
• Experience with subscription management, usage-based billing, or financial reporting systems
• Interest in financial infrastructure and how businesses manage their revenue operations
• Direct leadership and mentorship experience

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Support Experience engineering organization builds and improves Stripe’s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions. We’re accountable for the quality and reliability of this support stack and we use data and firsthand user research to continuously improve it. 

Providing great support to users of all sizes is culturally important to everyone at Stripe. We are a group of friendly, user-oriented engineers that partner closely with Stripe’s world-class design, product, and operational teams. This includes the external-facing support interfaces (support.stripe.com), content, entry points, internal tooling, case routing, and helping product teams across the company reduce support volume by improving our products. We are also using the latest generative AI technologies to re-imagine support experiences, and are developing AI assistants for Stripe’s users and internally to help our operations teams be more productive.

What you’ll do

As a Machine Learning Engineer on the Support Experience team, you'll play a crucial role in enhancing our self-serve support experiences. You will be responsible for designing, building, training, evaluating, deploying, and owning ML models in production. For example, we apply LLMs to answer user questions with conversational agents and personalize product documentation, and are building automated systems to solve complex user problems. You will work closely with software engineers, machine learning engineers, product managers, and data scientists to operate Stripe’s ML powered systems, features, and products. You will also have the opportunity to contribute to and influence ML architecture at Stripe and be a part of a larger ML community. 

Responsibilities

• Design  and implement state-of-the-art ML models and large scale ML systems for enhancing self-serve support capabilities, balancing ML principles, domain knowledge, and engineering constraints
• Develop and optimize contextual conversation models and ML-powered resolution flows for common support scenarios, using tools such as PyTorch, TensorFlow, and XGBoost
• Create and refine pipelines for training and evaluating models in both offline and online environments, with a focus on improving support quality and user satisfaction
• Implement ML features that streamline information collection and processing for support agents, enhancing overall support efficiency
• Collaborate with product, strategy, and content teams to propose, prioritize, and implement new AI-driven support features and improve answer capabilities
• Stay current with the latest developments in ML/AI, particularly in natural language processing and conversational AI, and apply innovative ideas to improve support experiences

Who you are

We are looking for ML Engineers who are passionate about building ML systems that touch the lives of millions. You have experience developing efficient feature pipelines, building advanced ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment.

Minimum requirements

• Bachelor's Degree in ML/AI or related field (e.g. math, physics, statistics)
• 3+ years in AI/ML and backend engineering, including building and operating production ML systems at global scale with stringent SLOs—balancing reliability, latency, and cost—with privacy, security, and compliance by design.
• Deep and up-to-date applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration architectures, post-training methods, code generation, benchmarks and evaluations, etc. Familiarity with classical ML methods and common frameworks e.g. Pytorch, TensorFlow.
• Proficient in Python; strong distributed systems and data science fundamentals.
• Experience working closely with product management, design, other engineers, and other cross-functional partners.
• Strong technical leadership and communication: mentoring and elevating engineers, elevating AI/ML awareness and posture within organizations, setting architectural direction, and driving alignment in ambiguity.

Preferred qualifications

• MS/PhD degree in ML/AI or related field (e.g. math, physics, statistics)
• Experience working in Java or Ruby codebases
• Experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
• Comfortable working with distributed teams across multiple locations and time zones

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Supportability Evaluation team acts as stewards of the financial ecosystem. Our mission is to protect Stripe’s reputation with our global financial partners by architecting highly precise, automated supportability controls. We develop the AI/ML models and systems that detect and action supportability violations in real-time. We're responsible for building high-fidelity detection engines that ensure our merchants remain compliant across the globe, balancing the scale of millions of users with the surgical precision required by the world’s largest financial institutions.

What you’ll do

As a Machine Learning Engineer in Supportability, you will be responsible for designing, building, training, evaluating, deploying, and owning AI/ML models in production. You will work closely with software engineers, machine learning engineers, product managers, and data scientists to operate Stripe’s ML powered systems, features, and products. You will also have the opportunity to contribute to and influence AI/ML architecture at Stripe and be a part of a larger community.

Responsibilities

• Design state-of-the-art AI/ML models and large scale systems for detection and decisioning for Stripe products based onAI/ML principles, domain knowledge, and engineering constraints
• Drive the expansion of Stripe's largest LLM-based system, scaling its usage and integrating new capabilities through agentic approaches or supervised learning.
• Rapidly prototype new AI/ML-based approaches to achieve key business goals.  
• Develop processes to train and evaluate models in offline and online environments
• Integrate models into production systems and ensure their scalability and reliability
• Collaborate with product and strategy partners to propose, prioritize, and implement new product features
• Engage with the latest developments in AI/ML and take calculated risks in transforming innovative ideas into productionized solutions
• Explore cutting-edge AI/ML techniques and evaluate their potential to solve business problems

Who you are

We are looking for ML Engineers who are passionate about building AI/ML and AI systems that touch the lives of millions. You have experience building and evaluating advanced AI/ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment.

Minimum requirements

• 2+ years of industry experience building and shipping AI/ML systems in production
• Proficient with AI/ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark 
• Knowledge of various AI/ML algorithms and model architectures
• Hands-on experience in designing, training, and evaluating machine learning models
• Hands-on experience in productionizing and deploying models at scale
• Experience rigorously evaluating model performance, including cleaning data, and working with data-generating processes to improve signal and reduce noise in high-noise datasets.
• Proficiency in creatively applying modern machine learning techniques and Generative AI models to solve complex business problems.

Preferred qualifications

• MS/PhD degree in AI/ML or related field (e.g. math, physics, statistics)
• Experience with DNNs including the latest architectures such as transformers and LLMs
• Experience working in Java or Ruby codebases
• Proven track record of building and deploying AI/ML systems that have effectively solved ambiguous business problems
• Experience with online experimentation such as A/B testing or multi-armed bandits.
• Experience with model calibration