The Enterprise Advanced team is a diverse group of individuals across Europe and India, who develop software to run MongoDB on any type of infrastructure at global scale. Our software and services allow users to deploy fault-tolerant, globally distributed MongoDB clusters in minutes.

The main focus of this team is to adapt our software to manage MongoDB clusters which are deployed in data centers or private cloud platforms, while offering cutting edge capabilities to our self-managing customers.

You will work on the core functionality for all of our products, mainly on the Ops Manager, Cloud Manager, and Automation products.  Our team's end users are some of the largest businesses in the world, deploying massive clusters and processing huge amounts of data.

We are looking to speak to candidates who are interested in being based in Dublin for our hybrid working model, or remotely within Ireland.  This role will report to an Engineering Manager based in Poland. 

What you’ll do

• Design, implement, test, and release features for  Ops Manager
• Test and incrementally ship elements of complex projects
• Apply our core values to your work, in planning, design, and coding
• Assist with troubleshooting bugs in customer deployments

A great fit for this role will be

• Someone who loves programming!
• Someone who enjoys working with others to achieve a common goal!
• You're flexible! You're willing to take on a wide variety of responsibilities, learning as you go
• You're a self-starter! You're comfortable organizing your own time, acting on feedback and prioritizing with guidance from senior members of your team

Requirements

• Experience with a language such as Java or Go
• Familiarity with Continues Integration and Continues Delivery Pipeline concepts
• Familiarity with multi-threaded, asynchronous, distributed systems
• Good knowledge of Computer Science fundamentals (data structures and algorithms)
• Good understanding of Object Orientation concepts
• Ability to think conceptually and design modular, complex systems

Nice to haves

• Familiarity running services on Cloud Infrastructure (Amazon AWS, Google Cloud Platform, Microsoft Azure), using containers and/or container orchestration platforms (Docker, Kubernetes, Openshift)
• Familiarity with CI/CD tooling and release infrastructure integrations (Github Actions, Jenkins, etc.) and Build Tools (Bazel)
• Experience working directly with production systems
• Experience or interest in full-stack web application development

What is in it for you:

• Generous compensation package (top-range salary, equity, comprehensive benefits)
• Flexible working options
• Opportunities to learn on the job (time to upskill in new technologies)
• Team budget for attending industry-specific conferences and training
• High level of independence in your day to day work
• Engineers in our team have the chance to work with multiple programming languages (JAVA, Javascript/React, Golang)
• You'll be joining a good-humored supportive team that works well together!

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: 1273351993

Backend Engineer, Core Technology

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 

• 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. 
• Reliability Insights and Excellence: We build tools and frameworks to introspect and improve reliability across Stripe.
• Application and Revenue Platform: Building the powerful and scalable infrastructure that powers the company’s innovative application offerings and supports the seamless processing and management of Stripe’s global transaction volumes.
• Finance Systems: Our mission is to enable effective financial decisions through reliable data, increased efficiency and automation. We support Accounting, Tax, Finance & Strategy (F&S), Finance Operations (FinOps) and Treasury functions across Automation, Data insights and process improvements.
• 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 within one of these orgs 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

We’re looking for Software Engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they’re an end user, developer, or partner. 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

• 2-12+ years of industry software engineering experience (does not include internships or co-ops)
• Ability to write well-factored algorithms and have experience with commonly used data structures and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
• 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
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

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

Role Overview:

The Senior Workday Platform Engineer – Absence (P4) is responsible for owning the design, configuration, and continuous evolution of Workday Absence capabilities as part of SIE’s global People Technology platform.

This role serves as a senior technical leader within People Technology Services (PTS), with primary ownership of the Absence domain. The role is accountable for ensuring that absence-related solutions are scalable, precise, and aligned with global business requirements, while also contributing to broader Workday platform design and delivery.

The role works closely with Human Resources partners to translate policy, regulatory requirements, and business processes into scalable, system-driven solutions.

Operating within a globally consistent Agile delivery model, this role balances deep domain expertise with cross-platform contribution. The Senior Engineer partners with Product, Integration, Data, and Architecture colleagues to deliver cohesive, end-to-end solutions and to establish sustainable configuration patterns across the platform.

This role is suited for individuals who combine deep expertise in Workday Absence with strong systems thinking, technical leadership, and the ability to influence design decisions across a global platform.

What you'll be doing:

Domain Ownership & Platform Leadership (Absence)

• Own the Workday Absence domain globally, including configuration design, system behavior, and ongoing evolution
• Lead the design and implementation of complex absence solutions in partnership with Human Resources partners, ensuring alignment with policy, regulatory requirements, and operational realities, including:
• Absence plans, accrual calculations, and eligibility rules
• Leave of absence processes and event-driven workflows
• Country-specific and policy-driven configurations
• Partner directly with Human Resources to interpret policies, validate requirements, and ensure system configurations accurately reflect intended business outcomes
• Define and implement configuration design patterns that ensure scalability, reusability, and maintainability
• Act as the primary technical authority for absence-related design decisions, guiding trade-offs between business requirements, system constraints, and long-term sustainability
• Ensure alignment of absence configurations with global policies, regulatory requirements, and downstream dependencies (e.g., payroll)

Solution Design & Delivery Leadership

• Engage with Human Resources partners to clarify requirements, challenge assumptions, and guide toward scalable, platform-aligned solutions
• Lead end-to-end delivery of complex absence-related initiatives, including design, build, testing, and deployment readiness
• Translate complex business rules, policies, and regulatory requirements into structured, scalable system configurations
• Provide technical leadership across workstreams, ensuring consistency and quality of solutions delivered by the team
• Support and guide P3 analysts in solution design and configuration, ensuring alignment with platform standards

Platform Engineering & Cross-Domain Contribution

• Contribute to broader Workday platform design and configuration across additional domains (e.g., Core HCM, Compensation, Talent, Performance)
• Collaborate with Integration and Data specialists to ensure end-to-end solution integrity
• Participate in platform-level design discussions, influencing architecture, standards, and ways of working
• Ensure absence-related solutions integrate effectively with upstream and downstream systems

Data, Reporting & Downstream Integrity

• Design and supervise reporting solutions and calculated fields supporting absence and related processes
• Ensure absence data supports HR reporting, compliance, and downstream processes (e.g., payroll and analytics)
• Ensure data accuracy, integrity, and consistency across absence configurations and downstream consumers
• Validate and test complex scenarios, including edge cases across regions, policies, and lifecycle events

Platform Reliability & Continuous Improvement

• Ensure reliability and stability of absence-related processes through proactive issue identification and root cause resolution
• Identify systemic issues and drive structural improvements to platform design and configuration practices
• Lead initiatives to simplify, standardize, and improve absence-related configurations
• Contribute to evolving platform standards, governance models, and configuration frameworks

Governance, Compliance & Standards

• Ensure alignment to global PTS design standards, governance practices, and engineering principles
• Ensure absence configurations meet data privacy, security, and audit requirements
• Contribute to documentation standards, testing practices, and release management processes

What we're looking for:

• 8+ years of experience with enterprise platforms, including considerable hands-on experience with Workday
• Demonstrated expertise in designing and implementing Workday Absence solutions, including accruals, eligibility rules, and leave processes
• Ability to own and lead complex configuration domains, including defining design patterns and standards
• Strong understanding of absence-related business processes across multiple regions and regulatory contexts
• Demonstrated ability to translate sophisticated business rules and policies into scalable, maintainable system configurations
• Proven track record of fixing and resolvisophisticatedlex configuration issues, including calculation logic and system behavior
• Hands-on experience developing Workday reports and calculated fields used in production environments
• Experience working across multiple Workday domains and understanding cross-domain dependencies
• Ability to guide and mentor other analysts in solution design and delivery

Preferred Qualifications

• Familiarity with payroll processes and downstream integrations related to absence
• Experience with Workday Security configuration
• Exposure to integrations (e.g., EIB, Core Connectors)
• Experience contributing to platform architecture, standards, or governance frameworks
• Experience working in global, matrixed enterprise environments

Profile

• Deep domain knowledge of Workday Absence, with the ability to lead sophisticated, rules-based configuration design
• Strong systems thinker who understands cross-domain and downstream impacts
• Ability to navigate sophisticated or ambiguous HR requirements and translate them into precise system configurations
• Operates as a technical leader, inspiring others while remaining hands-on where needed
• High attention to detail, with a focus on precision, data integrity, and system reliability
• Practical and delivery focused, balancing complexity, accuracy, and sustainability
• Effective communicator who can translate between policy, business needs, and technical implementation
• Demonstrates strong ownership, accountability, and commitment to high-quality outcomes
• Comfortable engaging with Human Resources partners, with the ability to translate policy and business needs into structured system solutions
• Comfortable working in a global, evolving environment, with the ability to influence beyond immediate responsibilities

The Team:

The Accounts & Identity team builds highly scalable java based services that safely connects PlayStation users with the social and entertainment experiences they love. Our services provide customers with always-available unified experiences to enrich the PlayStation ecosystem with simplicity, security, and reliability. Our mission is to provide the highest level of safety, performance and reliability for our customers.

What you'll be doing:

As part of our team, you'll develop distributed services, collaborate with product managers, architects, engineers, and operations team members to build highly robust solutions. Role responsibilities include:

• Design, develop, test, deploy, maintain, and improve software
• Provide solutions that are simple, maintainable, well abstracted, and with accurate test coverage
• Perform in-depth requirement analysis and design/code reviews with peers
• Manage individual project priorities, deadlines, and deliverables with your technical expertise
• Problem solve and triage issues including addressing operational incidents

What we're looking for:

• BS degree in computer science or equivalent with 3+ years of strong hands-on Java (ideally Reactive Java Programming) development experience for backend web services using Spring boot framework
• Experience developing services built for deployment into AWS EC2 or EKS using Docker
• Experience developing applications on Unix/Linux platforms
• Experience with servlet containers (e.g., Tomcat), JAXRS, Spring, and related technologies.
• Experience developing REST based web services also utilizing JSON and XML.
• Experience with GraphQL including the Apollo Client and GraphQL-compliant server stacks.
• Familiarity with data storage technologies such as Oracle, DynamoDB, and Cassandra
• Experience with agile development methodologies and familiarity with continuous integration and deployment processes.
• Experience with tools such as Datadog, Splunk, Jenkins, JIRA, Git etc.
• Demonstrated ability to deliver results and a proactive approach to overcoming obstacles.
• Outstanding verbal and written communication skills.
• Works well with others at all levels, and is effective at working with geographically remote and culturally diverse teams.
• Passion for quality with the ability to inspire, excite and motivate other team members.

• BS degree in computer science or equivalent with 3+ years of strong hands-on Java (ideally Reactive Java Programming) development experience for backend web services using Spring boot framework
• Must have - Experience developing front end applications using React Native, React Native for Web, React Web and Swift
• Must have - Experience with GraphQL including the Apollo Client and GraphQL-compliant server stacks.
• Must have - Experience developing Mobile/Computer Apps targeting iOS, Android and PC environments
• Experience developing services built for deployment into AWS EC2 or EKS using Docker
• Experience developing applications on Unix/Linux platforms
• Experience with servlet containers (e.g., Tomcat), JAXRS, Spring, Spring Boot and related technologies.
• Experience developing REST based web services also utilizing JSON and XML.
• Experience with agile development methodologies and familiarity with continuous integration and deployment processes.
• Experience with tools such as Datadog, Splunk, Jenkins, JIRA, Git etc.
• Demonstrated ability to deliver results and a proactive approach to overcoming obstacles.
• Outstanding verbal and written communication skills.
• Works well with others at all levels, and is effective at working with geographically remote and culturally diverse teams.
• Passion for quality with the ability to inspire, excite and motivate other team members.

Why Verifone

For more than 40 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic and fast paced work environment in which employees are focused on results and have opportunities to excel. We take pride in the fact that we work with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payments solution around the world. We strive for excellence in our products and services and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for personal and professional success. 

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

About The Role

Develops and executes software and system tests, ensuring high-quality VeriFone products through thorough planning, automation, analysis, and issue resolution.

What you'll do 

• Develops and performs software and system-level testing on VeriFone products to maintain VeriFone product quality standards.
• Develops and executes software test plans, detailed test cases and test procedures. Modifies or develops test scripts when appropriate to support automated test execution.
• Maintains documentation of test results and refines testing of the product to ensure reproducible identification of problems to assist in debugging and modification of software.
• Analyses test results to ensure coverage against product requirements.
• Supports and consults with development engineers in resolution of problems. 

What qualifications will you need to be successful? 

• Automation and Scripting experience of 2 to 3 years 
• Good understanding of Python 
• Understanding of Test Automation tools and process 
• Knowledge of Communication interfaces such as WiFi, Cellular, BT and USB is desirable 
• Analyzes requirements and other engineering documentation to establish test plans, test cases and test procedures 
• Writes test scripts for automated testing using Python 
• Performs manual test execution, analyzes results and generates test reports 
• Establishes repeatable test scenarios for identified failures and supports efforts to identify the source of failures while working with engineering to resolve issues 
• Works on assignments with clearly defined objectives. 
• Works under direct supervision. 

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Senior Software Engineer - Testing Platform

We are seeking a Senior Software Engineer who has hands-on .NET experience with expertise in test automation architecture, DevOps integration, and modern testing strategies for microservices-based systems.

Your Key Responsibilities: 

• Mentor and guide team members, supporting engineers through code reviews and pair programming and promote best practices

• Own the design, implementation, and maintain automated test frameworks across UI, API, and integration layers  

• Ensure automated tests are reliable, maintainable, and provide meaningful coverage

• Design and integrate Test Data Management (TDM) strategies using synthetic and masked datasets and ensure tests are data agnostic 

• Define and implement consumer-driven contract testing strategies and standards across microservices

• Design and develop applications through the full SDLC in a DevOps environment. Develop unit and integration tests

• Communicate with clients to understand their needs and provide regular updates on project progress

Your experience should demonstrate

• 7+ years of hands development experience in a .NET enterprise environment 

• Strong experience with C#, SQL, Entity Framework, .NET, .NET Core, Web API and other related technologies

• Experience with designing and maintaining automated test frameworks (UI, API, integration)

• Apply strong knowledge of Object-Oriented Programming (OOP) and design patterns to deliver clean, maintainable code

• Experience working in Agile environments, with a solid understanding of Scrum practices

• Knowledge and experience with CI/CD pipelines using tools like Jenkins, Azure DevOps, and Git.

• Implementation lead experience in developing core components of a technical architecture including APIs

• Good understanding of implementing Test Data Management strategies using synthetic and masked datasets in automated testing

• Good knowledge on consumer-driven contract testing strategies using Pact, including designing and maintaining contract schemas, managing Pact Broker for versioning and compatibility

• Strong communication skills with experience engaging stakeholders and clients to help define business requirements for systems based on outlined strategic technology platforms

• Familiarity with cloud platforms such as Azure or AWS

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams.

Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB. 

Such transformations are time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI  technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem.

Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization  projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the product roadmap.

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

Our ideal candidate will have

• 4+ years of experience as a field engineer or professional services consultant or full stack developer working directly with Enterprise clients 
• Proficiency in Java or C#, and some familiarity with common database access patterns and frameworks in one or more of these languages
• Strong knowledge about enterprise-scale software architectures, application development methodologies, and software deployment and operations
• Experience developing enterprise applications using relational databases, and employing SQL and stored procedures with Oracle, MS SQL Server, Sybase and/or PostgreSQL databases
• Experience of using and developing with MongoDB and JSON based Document models is highly desirable
• Problem solving skills, including the ability to collaborate across disciplines and teams to come up with creative solutions to technical and business challenges
• Willingness to dive into a complex domain, ask the right questions, and bring new software tools and technologies to the table to solve customer problems
• Great communication skills (both spoken and written), within the team and in customer meetings
• Good understanding of Generative AI concepts, tools, and services. Any experience to build new applications/tools using Generative AI is a big plus. That includes Cursor, Claude Code, Gemini, and OpenAI APIs
• And finally, a strong interest in how AI supported toolchains can improve application development

Position Expectations

• Contribute to customer application modernization initiatives at any or all phases of the application lifecycle: assessment and analysis; planning and design; data modeling; application code conversion, development, test and build; integration and release configuration, production operations, application optimisation, and best practices adoption
• Test drive MongoDB migration products to deliver on customer use cases and drive adoption of the product. Deliver concise feedback to the rest of the development organisation
• Work closely with Product and Engineering teams to influence the direction of the MongoDB product roadmap
• Personally execute POCs including developing or extending existing tools when necessary and appropriate for customer success, with an eye towards reusability and eventual integration with our products. These are often on premises at client locations
• Maintain a broad and deep technical understanding of the product line and the underlying technologies and protocols
• Work as part of a wider delivery team comprising consulting engineers from MongoDB Professional Services, project managers, and account teams
• Assist sales teams in evaluating opportunities with prospects and customers
• Willingness to work on site with customers for 7 days per month, which includes regional travel (within Europe)

Success Measures

The Senior Forward Deployed Engineer will be successful in this role when they can execute the following strategic tasks/responsibilities:

• Become an expert level user of MongoDB, and our tools current migration products
• Develop a playbook for customer application modernization engagements, in collaboration with other MongoDB Engineers, Product Management and Engineering
• Communicate complex technical proposals simply and convincingly to a wide range of audiences
• Provide unique insight into customer needs, product requirements and strategic opportunities by contributing experience from the field
• Gain the reputation as a trusted advisor with our field teams and customers
• Contribute to the success of customer application migration initiatives that they support

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: 4263294981

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB. 

Such transformations are time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI  technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem.

Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization  projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the product roadmap.

Our ideal candidate will have

• 4+ years of experience as a field engineer or professional services consultant or full stack developer working directly with Enterprise clients 
• Proficiency in Java or C#, and some familiarity with common database access patterns and frameworks in one or more of these languages
• Strong knowledge about enterprise-scale software architectures, application development methodologies, and software deployment and operations
• Experience developing enterprise applications using relational databases, and employing SQL and stored procedures with Oracle, MS SQL Server, Sybase and/or PostgreSQL databases
• Experience of using and developing with MongoDB and JSON based Document models is highly desirable
• Problem solving skills, including the ability to collaborate across disciplines and teams to come up with creative solutions to technical and business challenges
• Willingness to dive into a complex domain, ask the right questions, and bring new software tools and technologies to the table to solve customer problems
• Great communication skills (both spoken and written), within the team and in customer meetings
• Good understanding of Generative AI concepts, tools, and services. Any experience to build new applications/tools using Generative AI is a big plus. That includes Cursor, Claude Code, Gemini, and OpenAI APIs
• And finally, a strong interest in how AI supported toolchains can improve application development

Position Expectations

• Contribute to customer application modernization initiatives at any or all phases of the application lifecycle: assessment and analysis; planning and design; data modeling; application code conversion, development, test and build; integration and release configuration, production operations, application optimisation, and best practices adoption
• Test drive MongoDB migration products to deliver on customer use cases and drive adoption of the product. Deliver concise feedback to the rest of the development organisation
• Work closely with Product and Engineering teams to influence the direction of the MongoDB product roadmap
• Personally execute POCs including developing or extending existing tools when necessary and appropriate for customer success, with an eye towards reusability and eventual integration with our products. These are often on premises at client locations
• Maintain a broad and deep technical understanding of the product line and the underlying technologies and protocols
• Work as part of a wider delivery team comprising consulting engineers from MongoDB Professional Services, project managers, and account teams
• Assist sales teams in evaluating opportunities with prospects and customers
• Willingness to work on site with customers for 7 days per month, which includes regional travel (within Europe)

Success Measures

The Senior Forward Deployed Engineer will be successful in this role when they can execute the following strategic tasks/responsibilities:

• Become an expert level user of MongoDB, and our tools current migration products
• Develop a playbook for customer application modernization engagements, in collaboration with other MongoDB Engineers, Product Management and Engineering
• Communicate complex technical proposals simply and convincingly to a wide range of audiences
• Provide unique insight into customer needs, product requirements and strategic opportunities by contributing experience from the field
• Gain the reputation as a trusted advisor with our field teams and customers
• Contribute to the success of customer application migration initiatives that they support

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: 4263294981

Come join the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for talented Senior Engineers to join the team and be founding members, where you will play a crucial role in our multi-year roadmap.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies security and systems engineering fundamentals to protect a popular database at scale, join us!

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Candidate Profile

• 5+ years of experience building production-quality systems software
• Experience with large backend/compiled codebases and performance-sensitive software, preferably in Rust
• Bonus points for experience working hands-on in security-sensitive or networking-adjacent domains
• Strong systems fundamentals, including multi-threaded programming and performance profiling. Bonus points for:
• Understanding of network protocols, TLS, and connection lifecycle management
• Familiarity with security concepts such as attack surface reduction, input validation, memory safety, and defense-in-depth architectures
• Excellent verbal and written technical communication skills, with a strong desire to collaborate with colleagues
• Strong time management skills and the ability to realistically assess project complexity
• B.Sc. in Computer Science or a related field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture. Interest in the theory and practice of high-availability, security-critical systems

Position Expectations

• Design, implement, and operate production-ready security services in Rust, with a focus on security, correctness, performance, and operational excellence
• Develop ingress networking and security solutions that ensure the security, availability, and performance of a database service
• Diagnose test failures and performance regressions, and implement fixes
• Lead development and project management for features and initiatives within the Ingress Security domain
• Collaborate across Server, Atlas, Drivers, SRE, and Product Security teams to ensure the Atlas Network Protection layer integrates seamlessly with the broader MongoDB ecosystem
• Collaborate with Product Management and Engineering leadership to define the team's roadmap

Success Measures

• In the first month: Understand the high-level architecture of the Atlas Network Protection layer, set up your development environment, and resolve a few bugs
• In three months: Contribute substantially to the Rust development of a current project or milestone, take on code review responsibilities, and participate in reviewing designs for new features
• In six months: Independently lead the development of a new feature and help mentor new engineers on the team

In twelve months: Drive significant improvements to the security, performance, or operational capabilities of the Ingress Security stack, and contribute to the long-term technical roadmap of 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: 1273370603

We are seeking a Senior Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance.  

As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning our observability infrastructure, as an Engineer on the team, you’ll also work closely with other SWE and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us! Let’s build a faster, more reliable, and exceptionally observable database system together.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Candidate Profile

• Solving complex problems at scale, and to high standards, excites you
• Minimum 12 years of experience in designing, programming, debugging, and tuning distributed and/or highly concurrent C/C++/Java/Rust mission critical software systems
• Experience running latency sensitive, high throughput systems
• Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level programming
• Familiarity with database internals or building core components for data processing systems
• (Nice to have) Indexing or database performance tuning experience 
• Familiarity with observability ecosystem and best practices
• Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Has a good understanding of information security management

Responsibilities

• Define standards and vision for the mission-critical observability platform, leading the architecture and implementation of components that drive performance, scalability, cost-efficiency, and resiliency
• Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues.
• Handle production customer escalations from Technical Support team and coach teammates to do the same
• Write production-ready database code, improve the existing code, and mentor their team to write higher quality code
• Own all code the Observability Team maintains, ensuring it achieves a high standard for quality (including security, durability, availability, and performance) and maintainability
• Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code
• Investigate the performance impact of code changes that may cause software performance regressions
• Interview candidates for advanced software engineering positions
• Develop and maintain expertise on cutting edge database, and observability developments from industry and academia
• Lead development and project management of some of the largest projects across the company
• Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
• Advise Product Management on technical product direction, engineering complexity and inter-project dependencies
• Collaborate with Product Management and Engineering leadership to define product roadmaps
• Champion and improve unit and integration tests to demonstrate correctness
• Work with customers and support engineers to fix issues and become part of our on-call rotation 

Success Measures

• In the first month, you will have understood the high level architecture of MongoDB observability, and fixed a few bugs
• In three months, you will have contributed to the development of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues
• In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features
• In twelve months, you will be leading the development of new features and initiatives, helping to mentor engineers on the team, and using your experience to drive the long-term technical roadmap of the Observability 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 1273361934

We are seeking passionate and driven individuals with a strong foundation in computer science to join our team. In this role, you'll have the opportunity to design, build, and test software that enhances MongoDB products while solving complex technical challenges. You’ll collaborate with cross-functional teams, balance innovation with delivery, and contribute to features that empower our global community of users. Join us in a supportive and inclusive environment that values your unique perspective and fuels your growth.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

What we are looking for in you

• In the process of receiving or having received a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
• Recent graduates (including Summer 2026) or professionals with up to 18 months of experience.
• Have a foundation in computer science theory, with competencies in data structures, algorithms, and software design
• Proficient in one of our commonly used languages which include C++, Go, Ruby, Python, Java, Javascript, Node.js, or comparable high level programming languages
• Experience writing and testing software whether as part of an internship, in a personal project, in a coding competition, or for research

What you'll find at MongoDB

• Writing and testing software in commonly used high level programming languages, such as C++, Go, Ruby, Python, Java, Javascript, Node.js
• Identifying, designing, testing, and supporting new features in MongoDB products, particularly utilizing competencies in data structures, algorithms, and software design
• Leading software projects that help users maintain and understand their MongoDB deployments
• Solving problems with context in mind, balancing the needs of the team with the desire to get to the bottom of issues
• Maintaining a balance between delivering software and performing research and development
• Working closely with cross functional teams to create end user features that deliver quality software to our clients
• A fun community of fellow New Grads to attend social events, hangouts, and games nights
• Membership within our Employee Resource Groups where you can gain mentorship and learning opportunities from employees with a shared background or common identity
• A workplace culture where you are encouraged to bring your whole self to work - we believe that Embracing the Power of Differences is the best way to broaden our own perspectives and foster innovation

About Us

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 Early Talent Recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273361981

Join the MongoDB Server Query team, and help us build a world-class distributed open source query engine. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection and finally execution. This also includes our geospatial search and update subsystems.

Our global team is growing fast. In North America, we have a presence across the US and Canada including New York, West Coast, Toronto. In Europe, we have a presence in Dublin, Germany, France, Netherlands, UK, Bulgaria, Spain and Italy currently. We support office-based and remote work and align projects with convenient work hours for each time-zone.

We have tons of interesting problems to solve with direct impact on users for transactional, time-series and analytical workloads. We need your help to design and build the heart of a distributed, flexible schema, document database.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Candidate Profile

• 3+ years of experience in data intensive environments 
• Hands-on experience building industrial-strength software
• Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
• Experience with large code bases
• B.Sc in Computer Science or similar field, or equivalent practical experience
• Experience in C++ and in developing database systems is a plus
• Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus

Position Expectations

• Understand and improve current functionality of the MongoDB query engine
• Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools
• Work with other engineers to coordinate seamless changes in a feature-rich, large code base
• Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects

Success Measures

• In one month, you'll have fixed a few bugs in a minor version of our latest release series.
• In three months you’ll have contributed to the development of a project slated for the next major version.
• In six months, you’ll have taken on primary code review responsibilities and are involved in reviewing the design for new features
• In twelve months, you’re making significant contributions to the development of a new major features

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.

REQ ID: 1273384521

The MongoDB Query Testing Tools Team is hiring Software Engineers who want to join us in building a state-of-the-art distributed query system. Our Team builds tooling that allows us to ship Query Engine features with high confidence in both correctness and performance, making it a great fit if you like seeing your work protect real customers at scale. The team develops advanced testing frameworks (end-to-end testing, fuzzing, property-based testing) as well as performance measurement tools, including high-volume workload generation tools.

The team is part of the Query organization which is responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection; our engineers work on maintaining and improving our optimization and execution frameworks and building new query language features to help power our customers' critical workloads. Throughout all our work, our highest priority is always ensuring that customer queries are answered correctly. The successful applicant will be responsible for helping us to maintain the highest standards of quality through rigorous development, testing and automation strategies.

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

Candidate Profile

• 3+ years of experience in software development and/or performance engineering
• Fluency in Python, Javascript or Typescript
• Enjoys chasing down difficult problems in a distributed environment
• Able to make complex concepts easy to grasp in written and spoken English
• Able to decompose and solve complex problems and can rapidly iterate by validating new hypotheses and rethinking current assumptions
• Demonstrating hands-on experience working with relational or NoSQL databases is a plus
• B.Sc. in Computer Science or related field, or equivalent practical experience. Advanced degrees of experience in database query engines is a plus
• Experience in developing automation test frameworks is a plus
• Experience in query processing engine testing is a strong plus
• Experience in developing performance test plans and monitoring frameworks is a strong plus
• Background in database query engines or compilers is a strong plus

Position Expectations

• Design, develop, and maintain automated testing frameworks, Performance automated tests and internal tooling for the MongoDB query engine
• Collaborate closely with peers to understand new features and functionalities, ensuring testability, test frameworks, tooling and coverage for automating tests of both happy-path and edge-case scenarios
• Provide feedback in code reviews, focusing on the robustness and reliability of code changes

Success Measures

• Within three months, you have gained an understanding of MongoDB's MQL syntax and its semantics, as well as the behavior of our unique query engine. You have contributed to several code bases on Mongodb engine internal tooling
• By six months, you have established yourself as a key owner of automated test frameworks, and demonstrated improvements in test efficiency and coverage
• After twelve months, you are instrumental in ensuring quality of major new features, setting an example for new team members in best practices for correctness and performance test automation and internal tooling

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: 4263348258

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance.  

As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning critical components of our observability infrastructure, as a Staff engineer on the team, you’ll also work closely with other SWE, Product and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us! Let’s build a faster, more reliable, and exceptionally observable database system together.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Candidate Profile

• Solving complex problems at scale, and to high standards, excites you
• Minimum 10 years of experience in designing, programming, debugging, and tuning distributed and/or highly concurrent C/C++/Java/Rust mission critical software systems. 
• Experience running latency sensitive, high throughput systems
• Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level programming
• Familiarity with database internals or building core components for data processing systems
• (Nice to have) Indexing or database performance tuning experience 
• Familiarity with observability ecosystem and best practices
• Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Has a good understanding of information security management

Responsibilities

• Help build and architect systems for the mission-critical observability platform, leading the architecture and implementation of components that drive performance, scalability, cost-efficiency, and resiliency
• Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues.
• Handle production customer escalations from Technical Support team and coach teammates to do the same
• Write production-ready database code, improve the existing code, and mentor their team to write higher quality code
• Own areas of code that the Observability Team maintains, ensuring it achieves a high standard for quality (including security, durability, availability, and performance) and maintainability
• Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code
• Investigate the performance impact of code changes that may cause software performance regressions
• Interview candidates for advanced software engineering positions
• Develop and maintain expertise on cutting edge database, and observability developments from industry and academia
• Lead development and project management of some of the larger projects across the company
• Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
• Advise Product Management on technical product direction, engineering complexity and inter-project dependencies
• Collaborate with Product Management and Engineering leadership to define product roadmaps
• Champion and improve unit and integration tests to demonstrate correctness
• Work with customers and support engineers to fix issues and become part of our on-call rotation 

Success Measures

• In the first month, you will have understood the high level architecture of MongoDB observability, and fixed a few bugs
• In three months, you will have contributed to the development of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues
• In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features
• In twelve months, you will be leading the development of new features and initiatives, helping to mentor engineers on the team, and using your experience to drive the long-term technical roadmap of the Observability 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 1273361945

Come join the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for talented Staff Engineers to join the team and be founding members, where you will play a crucial role in our multi-year roadmap.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a key technical leader on a collaborative team that applies security and systems engineering fundamentals to protect a popular database at scale, join us!

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Candidate Profile

• 10+ years of experience building production-quality systems software with a large user base, robust design structure, and rigorous code quality
• Experience with large backend/compiled codebases and performance-sensitive software, preferably in Rust 
• Bonus points for experience working hands-on in security-sensitive or networking-adjacent domains
• Strong systems fundamentals, including multi-threaded programming and performance profiling. Bonus points for:
• Understanding of network protocols, TLS, and connection lifecycle management.
• Familiarity with security concepts such as attack surface reduction, input validation, memory safety, and defense-in-depth architectures.
• Excellent verbal and written technical communication skills for communicating to a wide variety of audiences ranging from junior engineers to executive stakeholder
• Strong mentorship skills, and excitement about leveling up your peers and teammates through coaching, feedback, and enablement
• Strong time management skills and the ability to realistically assess project complexity
• B.Sc. in Computer Science or a related field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture. Interest in the theory and practice of high-availability, security-critical systems
• Passion for learning new things in the domains of computer science and software engineering

Position Expectations

• Define and drive the technical strategy for Ingress Security, in collaboration with stakeholders across Server, Atlas, SRE, and Product Security
• Own the definition, planning, and execution of technical plans to deliver solutions to ambiguous, high-impact security and networking problems
• Design, implement, and operate production-ready security services in Rust, with a focus on security, correctness, performance, and operational excellence
• Collaborate with Engineering leadership and other Product & Technology teams on roadmaps to improve the security posture of MongoDB's ingress stack
• Advise across the team and organization on engineering complexity, risk, and inter-project dependencies
• Handle time-sensitive escalations and production incidents that require expert support from Ingress Security
• Diagnose test failures, identify bugs, performance regressions, and other defects in existing code, and fix them
• Interview candidates for software engineering positions, and work with Engineering leadership to cultivate the team's talent bench for long-term growth and success
• Develop and maintain expertise on relevant cutting-edge research in systems security, network security, and memory-safe systems programming from industry and academia

Success Measures

• In the first month: Understand the high-level architecture of the Atlas Network Protection layer, set up your development environment, and resolve a few bugs
• In three months: Contribute substantially to the Rust development of a current project or milestone, take on code review responsibilities, and participate in reviewing designs for new features
• In six months: Independently lead the development of major a new feature and help mentor new engineers on the team
• In twelve months: Drive the Planning, Design, and Execution of major improvements to our security, availability, performance, or operational capabilities

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. 

REQ ID: 1273383343

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

What is our Mission

Toast has established itself as the leading hospitality platform in the US, and we are now setting our sights on the global stage. As part of the International team, in our missions to expand globally,  we are building the core systems to launch Toast into new markets. You will join a high-impact, high-ownership engineering team solving complex technical challenges in a fast-paced environment. We are looking for leadership that balances technical excellence with a strong product mindset to drive continuous growth for both the team and our platform. 

A day in the life (Responsibilities)

• Lead complex projects within a cross-functional collaborative and supportive environment.
• Orchestrate our backend services to support internationalization working across software both in the restaurant and the cloud
• Design, build, deploy and maintain highly resilient and scalable systems critical to our customers’ success.
• Iterate on our technical approach to data management in support our international strategy 
• Mentor and provide technical guidance to team members, leading technical discussions and promoting best engineering practices.
• Work directly with pilot customers (sometimes in the restaurant!) to ensure successful delivery and operation
• Advocate for best coding practices, raising the bar for yourself, your team, and the company.
• 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)

• 8+ years of experience in delivering high quality, reliable services to production using Java, Kotlin or other object oriented language(s)
• Proven track record of architecting, supporting and debugging large distributed & multi threaded applications.
• Drive to work across our tech stack and support other engineers in resolving challenging problems
• Passionate about making users happy and seeing people use your product in the wild.
• Ability to embrace an agile mindset focused on delivering usable software.
• Experience with  fiscalisation, internationalization is a plus

Our Tech Stack

• A core of Java & Kotlin based backend services.
• React SPAs leveraging Tailwind, GraphQL and Storybook.
• Android app built in Java & Kotlin running in the restaurant.
• PostgresQL and Dynamodb as core persistence.
• Pulsar, Camel and RabbitMQ for message-based integrations.
• And many more technologies that help us build a top class platform.

**This is a hybrid role requiring in-office collaboration two days per week in our Dublin office.**

#LI-HYBRID

#BI-Hybrid

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.

About Tripadvisor  

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.

Tripadvisor is looking for an experienced back-end software engineer to join the Hotels Platform team, which maintains the critical infrastructure and data that powers Tripadvisor’s Hotels pages for over 400 million travelers each month. In this role, you will help us build, enhance, and sustain a suite of highly-performant, consumer-scale microservices that help our travelers plan their next great adventure.
The ideal candidate for this role will have a broad set of battle-tested engineering skills, a strong sense of ownership, a passion for solving complex problems collaboratively, and an unwavering commitment to learning and advancing their craft.

Job Location: Remote/Hybrid

This role is a flexible hybrid or remote position. For hybrid roles please note our office is based in Dublin.

What You’ll Do

• Design, implement, test, and deploy code changes that help the team execute on key strategic and engineering-driven initiatives.
• Work effectively across all layers of the service stack, from designing clean microservice APIs to building efficient database queries and ETLs.
• Own projects end-to-end: from initial design, requirements-vetting, and estimation, to verifying changes in production and proactively addressing any follow-up tasks.
• Provide code-reviews to teammates, ensuring that a proposed change meets the team’s coding standards, best practices, and audit requirements.
• Support the team’s operations through proactive monitoring, data-quality checks, and incident-response protocols.
• Actively seek feedback from peers, and help promote a collaborative, fast-paced engineering culture.

Skills & Experience

• Demonstrated ability to use AI tools to improve efficiency, quality, and decision-making in day-to-day work.
• Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related discipline.
• 3+ years of professional, full-lifecycle software development experience working with large-scale web applications or services, written in Java (preferred) or Kotlin.
• Experience working with relational databases or data-warehouse technologies like Snowflake, BigQuery, or Hadoop
• Solid foundation in data structures, algorithms, object-oriented design, and web-service architectures.
• Excellent written and oral communication skills with the ability to communicate complex concepts clearly.
• Demonstrated ability to take end-to-end ownership of projects, working independently and collaboratively to clarify requirements, choose an appropriate implementation approach, and deliver high-quality code.

Nice-to-have:

• Experience with front-end web technologies like React, JavaScript, HTML, CSS, etc.
• Experience working with foundational AWS services and infrastructure-as-code.
• Experience utilizing AI tools like Claude or Cursor effectively to streamline development workflows and reduce cognitive load.
• Experience participating in an operational support rotation.

What We Offer:

• Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
• “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team.
• Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
• Donation matching. Give back? Give more! We match qualifying charitable donations annually.
• Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
• Generous referral scheme. Help us grow and be rewarded with generous bonuses for referring successful candidates. Travel perks. We believe that travel is employee development, so we provide discounts and more.
• Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges. Health benefits. We offer great coverage and competitive premiums.

Our Cultural Pillars:

• Traveler first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. 
• Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. 
• We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.

If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!

#LI-SM1

#LI-Remote

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

An AI pod is Toast's AI-native engineering team, a focused pod of specialists who tackle complex, high-impact problems across Toast's product and platform landscape using AI-first approaches.

As Senior Principal Software Engineer and Senior Architect, you will be one of the most senior technologists at Toast, setting the technical vision and architectural direction for the pod while remaining hands-on in its most ambitious work. You'll define how AI-native engineering is done at Toast and spread those patterns across the organization.

A day in the life (Responsibilities)

• Develop and drive the architectural vision for AI Pod, establishing patterns for AI-native development that scale across Toast engineering
• Be an active participant and authoritative technical voice in cross-organizational strategy and architecture discussions
• Lead the pod's most complex, high-impact initiatives from design through production — staying hands-on throughout
• Evolve agentic development practices within the pod and champion their adoption across Toast
• Work closely with other Senior Principal Engineers and technical leaders across Toast to advance the overall architecture
• Mentor and develop technical leadership within the pod and across teams
• Partner with engineering leadership and product to translate strategic goals into executable technical plans

What you'll need to thrive (Requirements)

• 12+ years of experience designing and building highly scalable, mission-critical distributed software systems
• 10+ years of experience building and operating SaaS products, ideally AWS-hosted
• Demonstrated ability to drive architectural vision for a company, line of business, or highly scalable platform
• Deep experience building, deploying, and operating LLM-powered agents and AI-native systems
• 1+ years of hands-on experience using the latest AI coding agents with a strong desire to go all-in on agentic development practices
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
• Ability to move fluidly between whiteboard architecture and understanding the ebb and flow of code under load
• Ability and desire to communicate and influence at the executive level

What will make you stand out

• Experience managing or leading a small engineering team (2-4 engineers)
• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

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.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Senior Software Engineer on this team, you'll be hands-on building full-stack across the systems other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.

A day in the life (Responsibilities)

• Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines
• Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations
• Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior
• Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows
• Contribute full-stack across backend services and frontend or developer-facing interfaces as needed
• Write high-quality, well-tested code and participate in design and code reviews
• Partner closely with product management to shape feature requirements, contribute to roadmap discussions, and translate product vision into reliable technical solutions

What you'll need to thrive (Requirements)

• 5+ years of experience designing and implementing scalable software systems, with a full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
• Experience with MCP (Model Context Protocol), tool use patterns, or agentic frameworks
• Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies
• Experience with distributed systems, REST APIs, and cloud-native infrastructure
• Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions

What will make you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

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.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Principal Software Engineer, you'll set the technical direction for how we design, build, and evolve these systems, working full-stack across the agentic workflows that employees across Toast depend on every day. This role is for someone who can drive architecture, raise the engineering bar across the team, and stay hands-on building.

A day in the life (Responsibilities)

• Define and drive the technical architecture for AI Foundations platform, spanning backend services, frontend tooling, and third party integrations
• Lead full-stack design and delivery across the LLM proxy, AI key management, observability pipelines, and internal plugin marketplace
• Architect and deliver autonomous agents and MCP services that participate in the software development lifecycle
• Set and uphold engineering standards across the team: code quality, system design, testing, and operational practices
• Mentor and technically lead engineers across all levels through design reviews, code reviews, and pairing
• Partner with product and platform leadership to shape the AI Foundations roadmap and translate strategy into executable technical plans
• Collaborate closely with designers and product teams to translate UX concepts into polished, production-ready frontend experiences
• Serve as a key technical voice in cross-team discussions, representing AI Foundations in architecture decisions across Toast engineering

What you'll need to thrive (Requirements)

• 10+ years of experience designing and delivering scalable software systems, with a strong full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience leading technical architecture for a platform, product, or engineering team
• Proven ability to mentor engineers and raise the technical bar of a team through standards, reviews, and hands-on guidance
• Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and experience extending them through custom plugins, skills, or hooks
• Experience with MCP, tool use patterns, or agentic frameworks
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies, with demonstrated experience building user-facing product interfaces
• Comfort with a rapidly changing technical landscape and a bias towards action over analysis paralysis

What will make you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms or internal tooling
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

**This role requires a minimum of two days per week in our Dublin office**

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.

About the opportunity

Join Contentful as a Senior AI Software Engineer (f/m/d) and innovate with AI Integrations

At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team—a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization.

As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you’ll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful.

If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we’d love to have you join us. Together, we’ll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.
• Platform Development: Design, develop, and maintain scalable AI platform features using TypeScript and Node.js, to enable feature teams, while ensuring they are compatible with other services, and APIs.
• AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.
• Holistic Thinking: Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.
• Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.
• Stay Current: Keep up-to-date with the latest industry trends, particularly in the domains of AI and machine learning, ensuring the platform stays competitive by leveraging cutting-edge AI technologies.

What you need to be successful?

• API and Service Design: Proven experience in building APIs and services that efficiently handle large volumes of traffic. Deep interest in clean code practices and familiarity with enterprise architectural design patterns
• Serverless Architectures: Experience with serverless architectures, ideally edge compute environments such as Cloudflare Workers.
• Asynchronous Systems: Experience with building and maintaining asynchronous systems for automation and bulk use cases.
• Containerization and Orchestration: Experience with Docker and Kubernetes, especially in deploying AI models or microservices.
• Enterprise Solutions: Knowledge with implementing enterprise ready governance features such as RBAC, audit logging, and compliance frameworks. 
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus.
• Problem-Solving Skills: A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to collaborate effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced, AI-driven environment, ensuring AI and software systems align with business objectives.

Preferred:

• AI and Machine Learning Expertise: Skills in integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products.
• Platform Experience: Experience in developing platform features to enable internal teams
• Full Stack Experience: Strong skills in TypeScript, React, and Node.js.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

An AI pod is Toast's AI-native engineering team, a focused pod of specialists who tackle complex, high-impact problems across Toast's product and platform landscape using AI-first approaches.

As a Principal Software Engineer, you'll work full-stack across ambitious, cross-cutting initiatives, bringing deep technical expertise and architectural judgment to some of the hardest problems at Toast.

A day in the life (Responsibilities)

• Lead full-stack design and delivery of AI-native solutions that address complex, cross-functional problems across Toast
• Drive technical architecture for pod initiatives, from backend services and APIs to frontend and developer-facing interfaces
• Build and integrate LLM-powered agents, tools, and workflows that bring AI capabilities directly into product and platform contexts
• Set and uphold engineering standards within the pod: code quality, system design, testing, and operational practices
• Mentor engineers through design reviews, code reviews, and pairing
• Partner with stakeholders across Toast engineering to define problem scope, align on approach, and deliver outcomes
• Serve as a technical voice in cross-team architecture discussions, connecting pod work to broader Toast engineering patterns

What you'll need to thrive (Requirements)

• 10+ years of experience designing and delivering scalable software systems, with a strong full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience leading technical architecture for a platform, product, or engineering team
• Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and experience extending them through custom plugins, skills, or hooks
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
• Strong prompt engineering skills and intuition for how LLM behavior responds to context and instructions
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies
• A bias towards action and comfort operating in ambiguous, rapidly evolving problem spaces

What will help you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms or internal tooling
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

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.

#LI-Hybrid
#BI-Hybrid

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

We’re looking for a Software Engineer II to join in building the Scheduling product as part of Toast’s Team Management Suite for restaurant employers. You’ll play an important role in the design, development, and delivery of scalable software solutions that enable restaurant owners to build an optimal labor plan that balances interests in profitability, employee’s desire for predictability and flexibility, and guest satisfaction.

A day in the life (Responsibilities):

• Flex your full-stack development muscles with challenging end-to-end tasks in a supportive, collaborative team environment
• Participate in designing, estimating, implementing, testing, and debugging end-to-end solutions
• Ship code that has a massive impact on the growth of Toast
• Learn and champion best practices for development, deployment, and quality life-cycles
• Actively contribute to product design and feature selection discussions
• Participate in code reviews to ensure technical implementations meet functional requirements

What you'll need to thrive (Requirements)

• Strong foundation in Java, Kotlin or other object-oriented language(s)
• Experience with modern web standards and technologies (e.g. React, TypeScript, REST, GraphQL)
• A proven track record of building partnerships across engineering, product, customer success, and other stakeholders.
• Experience maintaining a high bar for quality, and guiding teams to hold a high bar for the technical quality of their deliverables.
• Strong customer empathy and a drive to make their lives better through a thoughtful user experience, robust technical solutions, and continuous product improvement.
• Passionate about technology and learning new things
• Desire to make continuous improvements to teams and technology
• You are not afraid to tackle big problems and ask insightful questions.

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.

#LI-HYBRID
#BI-Hybrid

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

We’re looking for an engineer to help build and scale Toast’s labor cost and timekeeping platforms - systems that directly influence labor spend for more than 166,000 restaurant locations. You’ll work on highly visible, mission-critical infrastructure supporting millions of employees and operators across Toast restaurants.

In this role, you’ll gain hands-on experience with large-scale, data-intensive systems. We’ve processed over a billion of shift records and are in the midst of an exciting architecture modernization to support rapid growth and faster development. We are operating at true scale, pushing the limits of our databases. If you’re excited to lay the technical foundation for the next generation of labor cost management—and to help restaurant operators save real money—we’d love to hear from you.

A day in the life (Responsibilities)

• Help shape our next-generation timekeeping systems that operate at massive scale, processing tens of millions of shift events every week.
• Build, run, and improve core backend systems alongside a collaborative, supportive team.
• Be a part of the organization with a strong focus on engineering culture and full end-to-end ownership.
• Participate across the full development lifecycle—design, estimation, implementation, testing, debugging, and deployment—while learning and applying best practices for building and operating reliable systems at scale.
• Ship code that directly impacts Toast’s growth and the day-to-day operations of restaurant teams
• Partner with product and design to influence what we build and how we build it
• Participate in thoughtful code reviews, both giving and receiving feedback

What you'll need to thrive (Requirements)

• Experience with one or more object-oriented programming languages (such as Java, Kotlin, or similar).
• Willingness to monitor, troubleshoot, and improve system performance through logging and metrics
• Ability and motivation to learn quickly and apply knowledge to solve real problems
• A hunger to take on challenging projects and build systems that operate at massive scale.

Above all, we’re looking for a strong engineer with solid fundamentals.

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.

#LI-HYBRID
#BI-Hybrid

This hybrid role is based in Dublin, Ireland (Full relocation provided).

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

What is our Mission

Toast has established itself as the leading hospitality platform in the US, and we are now setting our sights on the global stage. As part of the International team, in our missions to expand globally,  we are building the core systems to launch Toast into new markets. You will join a high-impact, high-ownership engineering team solving complex technical challenges in a fast-paced environment. We are looking for leadership that balances technical excellence with a strong product mindset to drive continuous growth for both the team and our platform. 

A day in the life (Responsibilities)

• Lead complex projects within a cross-functional collaborative and supportive environment.
• Orchestrate our backend services to support internationalization working across software both in the restaurant and the cloud
• Design, build, deploy and maintain highly resilient and scalable systems critical to our customers’ success.
• Iterate on our technical approach to data management in support our international strategy 
• Mentor and provide technical guidance to team members, leading technical discussions and promoting best engineering practices.
• Work directly with pilot customers (sometimes in the restaurant!) to ensure successful delivery and operation
• Advocate for best coding practices, raising the bar for yourself, your team, and the company.
• 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)

• 8+ years of experience in delivering high quality, reliable services to production using Java, Kotlin or other object oriented language(s)
• Proven track record of architecting, supporting and debugging large distributed & multi threaded applications.
• Drive to work across our tech stack and support other engineers in resolving challenging problems
• Passionate about making users happy and seeing people use your product in the wild.
• Ability to embrace an agile mindset focused on delivering usable software.
• Experience with  fiscalisation, internationalization is a plus

Our Tech Stack

• A core of Java & Kotlin based backend services.
• React SPAs leveraging Tailwind, GraphQL and Storybook.
• Android app built in Java & Kotlin running in the restaurant.
• PostgresQL and Dynamodb as core persistence.
• Pulsar, Camel and RabbitMQ for message-based integrations.
• And many more technologies that help us build a top class platform.

**This is a hybrid role requiring in-office collaboration two days per week in our Dublin office.**

#LI-HYBRID

#BI-Hybrid

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.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

We’re looking for a Senior Software Engineer to help build and scale Toast’s labor cost and timekeeping platforms - systems that directly influence labor spend for more than 166,000 restaurant locations. You’ll work on highly visible, mission-critical infrastructure supporting millions of employees and operators across Toast restaurants.

In this role, you’ll gain hands-on experience with large-scale, data-intensive systems. We’ve processed over a billion shift records and are in the midst of an exciting architecture modernization to support rapid growth and faster development. We are operating at true scale, pushing the limits of our databases. If you’re excited to lay the technical foundation for the next generation of labor cost management—and to help restaurant operators save real money—we’d love to hear from you.

A day in the life (Responsibilities):

• Drive the evolution of our next-generation timekeeping platform, operating at significant scale and processing tens of millions of shift events each week
• Build, run, and improve core backend systems alongside a collaborative, supportive team.
• Take end-to-end ownership of systems, contributing to a strong engineering culture focused on quality, reliability, and long-term maintainability
• Lead work across the full development lifecycle—design, estimation, implementation, testing, debugging, and deployment—while learning and applying best practices for building and operating reliable systems at scale.
• Ship code that directly impacts Toast’s growth and the day-to-day operations of restaurant teams
• Partner with product and design to influence what we build and how we build it
• Contribute to and elevate team standards through thoughtful code reviews and technical discussions
• Mentor and provide technical guidance to other team members

What you'll need to thrive (Requirements)

• 5+ years of back-end experience with one or more object-oriented programming languages (such as Java, Kotlin, or similar).
• Experience owning and operating production systems.
• A track record of tackling ambiguous, high-impact challenges and delivering scalable solutions
• Ability and motivation to learn quickly and apply knowledge to solve real problems
• A hunger to take on challenging projects and build systems that operate at massive scale.

Above all, we’re looking for a strong engineer with solid fundamentals.

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.

#LI-HYBRID
#BI-Hybrid

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Your mission is to drive architecture, technical strategy, and implementation of AI agents for Toast's Team area which is part of the Fintech line of business. You will be one of the most senior technologists in line of business. The Team area is a mission-critical space on which our restaurants rely to manage their staff and optimize their labor. Beyond being on the forefront of agent development, your scope will also include enablement and leadership for how software is developed at Toast through adoption of bleeding edge spec driven development and other paradigms. 

A day in the life (Responsibilities)

• Develop and drive an architectural vision to support the ambitious goals for agents and agent development
• Be an active participant and an authoritative technical voice in FinTech product strategy discussions
• Partner with the Team Management Director of Engineering and Sr. Director of Product to successfully deliver Team agent products from design to production
• Work closely with other Senior Principal Engineers to further the agent patterns and ecosystem across Toast as a whole
• Evolve an ever more efficient way of working through agents and spread it across Toast
• Work directly with the product manager for the Team Agent space, collaborating to drive vision
• Be hands on and actively participate in development on the Team Agent
• Mentor and develop technical leadership across Team, and Fintech

What you'll need to thrive (Requirements)

• 15+ years experience designing and building highly scalable, mission-critical distributed and fullstack software systems
• 10+ years experience building and operating SaaS products, ideally AWS hosted
• 1+ years experience using the latest in coding agents 
• A strong desire to lean all in on agentic development practices
• Passion for building autonomous agents
• Demonstrated ability to drive technical architecture for a company or highly scalable line of products
• A desire to work not only with technologists but also product owners and business leaders
• Ability and desire to draw big lines and boxes on a whiteboard paired with the ability to dig in and understand the ebb and flow of what the code is doing under load
• Ability and desire to communicate and influence at the executive level

What will help you stand out (Nonessential Skills/Nice to Haves)

• Experience designing agentic products
• Experience building systems that leverage LLMs and other ML models
• Experience with enterprise integration using Apache Camel
• Experience architecting event-driven distributed systems using Apache Pulsar
• Experience defining test, build and deploy strategies
• Solid understanding of workforce management
• Solid understanding of restaurant operations

#LI-HYBRID

#BI-Hybrid

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.

POS-7094

Job Overview: We are seeking a Security Engineer with expertise in implementing and troubleshooting security tools to enhance and support our security infrastructure. This role focuses on evaluating, deploying, and maintaining a suite of security technologies that protect our organization’s assets. The ideal candidate will have extensive experience in security engineering, hands-on tool deployment, and troubleshooting complex issues within various security solutions.

Key Responsibilities:

• Security Tool Implementation: Lead the planning, deployment, and configuration of security tools, ensuring they meet organizational needs and integrate seamlessly with existing systems. Experience with SASE tools such as (Netskope/Zscaler), EDR tools such as (Crowdstrike/SentinelOne), Endpoint Privilege Management, Application Allowlisting, Email Security, SIEM Management and Detection Engineering 
• Troubleshooting and Support: Diagnose and resolve issues with security tools in real-time to maintain their effectiveness, reduce downtime, and ensure optimal performance.
• Tool Evaluation and Testing: Research, test, and recommend new security technologies based on the latest threat landscape and organizational needs. Lead proof-of-concept (POC) projects to assess potential new tools.
• System Integration: Work closely with IT and other teams to ensure security tools are effectively integrated with various systems, including cloud and on-premises environments.
• Automation and Optimization: Develop scripts and automation processes to improve the efficiency and reliability of security tools, minimizing repetitive tasks and reducing time-to-response.
• Documentation and Knowledge Sharing: Create and maintain detailed documentation of security tool configurations, troubleshooting procedures, and best practices to ensure consistent processes and knowledge transfer.
• Collaboration: Collaborate with other security teams, such as incident response and vulnerability management, to identify tool requirements, share insights, and improve overall security capabilities.
• Training and Mentorship: Act as a subject matter expert on security tools, providing training and guidance to junior team members and stakeholders.

Qualifications:

• Experience: 3+ years of experience in cybersecurity, with a focus on security engineering, tool deployment, and troubleshooting.
• Education: Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience).
• Certifications: Relevant certifications, such as CISSP, GIAC, CEH, or vendor-specific certifications for security tools (e.g., CrowdStrike, Netskope, Tenable, or similar).
• Technical Skills:
• Strong hands-on experience with a variety of security tools, such as endpoint protection, SIEM, vulnerability management, EDR, DLP, and network security tools.
• Deep troubleshooting skills across both hardware and software security solutions.
• Familiarity with scripting languages (Python, PowerShell, Bash) for automation of tasks related to tool deployment and management.
• Understanding of network protocols, cloud environments, and security frameworks (MITRE ATT&CK, NIST, CIS).
• Experience with configuring and managing tools in cloud environments (AWS, Azure, or GCP).
• Soft Skills:
• Strong analytical and problem-solving abilities with attention to detail.
• Excellent communication skills to collaborate across teams and convey technical information effectively.
• Ability to work independently and manage multiple projects in a fast-paced environment.

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

Stripe’s Professional Services team works with our most strategic users. You will work on the highest visibility projects to provide technical expertise to our customers to help accelerate their knowledge, solution design and integrations with Stripe. This role is responsible for leading strategic conversations and developing plans that will transform the payments and financial infrastructure for leading enterprises.

What you’ll do

Responsibilities

• Plan and execute integration engineering end-to-end, from high-level architecture down to code implementation. This includes conducting discovery sessions with users to understand their goals, parsing out specific use cases, and guiding users to implement high complexity integrations. 
• Think on your feet and communicate technical concepts, explaining how Stripe works from both a product feature and API architecture perspective. Manage user expectations on timelines and product changes.
• Be the primary, ongoing technical point of contact for our largest users' and partners' technical teams. You will be responsible for resolving user integration issues and owning escalations for operational issues and priority requests.
• Collaborate with Sales, Solution Architecture and Implementation teams to drive client engagement, customer wins, and revenue on behalf of the Professional Services team
• Collaborate closely with Product and Engineering to proactively identify potential enhancements and new features based on feedback you’ll gather from the field.
• Provide deep technical support and debugging, inspecting and understanding the Stripe codebase and thoroughly testing functionality to best advise users, while also building and demonstrating proof-of-concept integrations, creating user-specific test plans, and answering ad-hoc technical questions.
• In some cases, lead "Hands On Keyboard" implementations for user engagements, providing material feedback on coding practices, CI/CD, and software architecture.
• Review and optimize existing user integrations and provide recommendations to improve performance, reliability, and efficiency.
• Build tools and analytics; create dashboards, run queries, and generate custom data reports to support user business reviews and operational needs.
• Develop and share knowledge, building reusable processes to enable the larger Professional Services team.

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

• 4 years + experience in a Software Engineering / Integration Engineering role.
• Ability to write code (in programming languages like Go, Java, C/C++ etc.) and quickly debug user code snippets.
• Comfortable with various code-level debugging (Stripe code and user code) and using code as a tool for problem-solving.
• Strong generalist technical experience, including proficiency in SQL and an understanding of data structures and algorithms.
• Understanding of the payments domain and API security topics.
• Be comfortable talking about technical concepts, and explaining how Stripe works, both from a product features and API architecture perspective.
• A user first approach & empathy with our users, capable of mapping business requirements into reliable technical solutions.
• Confident and comfortable with customers, with the ability to lead strategic technical conversations.

Preferred requirements

• Enjoy the puzzle of solving open-ended problems, both individually and as a member of our team.
  Willingness to learn and teach others, including mentoring newer team members.
• Collaborative, communicative, consultative; able to apply specific methodologies to ensure repeatability of engagements.
• Intellectually curious, with great problem solving skills.
• Technical writing skills to document complex integration guidance and processes.

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.

SEAR at Toast focuses on two things: actionable intelligence collection, analysis, and delivery to engineers, and hunting the adversaries who would damage and defraud Toast, its customers, and its partners. We bake security into every layer of our products, from the first sprinkle of an idea to the final serving of a fully-baked solution. Our team is tasked with searching out and degrading the operations of persistent, motivated attackers.

Like master chefs, we blend cutting-edge technology with strategic thinking, implementing bespoke and industry-standard solutions for intelligence processing at scale. By joining SEAR, you'll be part of the kitchen crew that keeps our customers' trust from going stale. You'll tackle complex challenges that have real-world impact, helping to serve up a safer, more secure digital experience for businesses that count on Toast every day. It's not just about pattern-matching  – it's about crafting a recipe for digital trust that keeps our customers coming back for more.

A day in the life (Responsibilities)Select, implement, design, and build services and tools to manage and deliver security intelligence across Toast platforms.

• Identify, triage, and provide remediation guidance for application vulnerabilities, with a specific focus on anti-abuse activities.
• Improve developer tooling and adoption to build a more robust SSDLC which integrates security and anti-abuse features.
• Practice a #OneTeam attitude to help other Toast teams make informed, security-conscious decisions when building new public-facing software.
• Assist incident response teams with application security expertise and tools, especially related to abuse and fraud.
• Build threat models on Toast applications and use cases.
• Guide in the design and maintenance of robust and resilient network and application architecture.
• Collaborate to improve information gathering and sharing across all Toast products.
• 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)

• 5+ years experience working in software development
• Minimum 5+ years of experience in application security and security engineering.
• Experience building and maintaining scaled Java web services in production.
• Experience developing script applications in Python for scheduling and backend data handling.
• Experience leveraging LLM AI features for software development and/or security operations.
• Strong understanding of cloud application architecture.
• Successful history of being a subject matter expert to guide colleagues toward better security outcomes, especially related to abuse, fraud and legal concerns.
• Previous security experience working with fintech applications and associated requirements.
• Strong understanding of privacy, security, and cryptography patterns and when to apply them, especially when handling customer information (such as PKIs, access management, data tokenization, and anonymization).

**This role requires two days per week in our Dublin office**

Nonessential Skills/Nice to Haves

• Offensive security training and certifications (e.g. OSCP, OSWE, OSEP)
• Edge Security solution like WAF, API Security
• Adversary Emulation proficiency (red/purple teaming)
• Cloud and container security technologies
• SSDLC tooling (e.g., SAST/DAST/SCA)
• Scaled data handling in RDBMS, streaming, and columnar stores
• Metrics and charting software proficiency
• Mobile apps/threats (iOS, Android), and their particular abuse vectors
• Knowledge in security of operating systems, networking and protocols
• Securing financial technologies and associated requirements

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.

POS-31662

Role Summary

HubSpot is building the next generation of AI experiences across our go-to-market products. We’re hiring a Senior Machine Learning Engineer II to join the Flywheel Context (Contacts) team, where you’ll build the context platform layer that powers accurate, high-performing AI assistants and agents.

This is a backend-leaning ML engineering role focused on shipping production software—designing systems that help other engineering teams retrieve relevant facts, manage long/complex context, and evaluate quality at scale. If you love building durable platforms (not just prototypes), this role is for you.

What You’ll Do

• Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.

• Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.

• Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).

• Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.

• Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.

• Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.

• Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Required Qualifications

• Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).

• Professional Java experience building maintainable, testable services in production (this is core to the role).

• Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).

• Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).

• Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).

• Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.

Nice-to-Have Qualifications

• Experience with search/retrieval/relevance/ranking systems (highly aligned to context work).

• Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies.

• Familiarity with LLM evaluation patterns (golden sets, automated metrics, human review), hallucination mitigation, and quality measurement.

• Experience with distributed systems, event-driven architectures, or stream processing.

• Cloud/platform experience (e.g., Kubernetes, AWS/GCP) and running services in production.

• Some Python experience (useful, but not the primary language).

POS-31662

Role Summary

HubSpot is building the next generation of AI experiences across our go-to-market products. We’re hiring a Senior Machine Learning Engineer II to join the Flywheel Context (Contacts) team, where you’ll build the context platform layer that powers accurate, high-performing AI assistants and agents.

This is a backend-leaning ML engineering role focused on shipping production software—designing systems that help other engineering teams retrieve relevant facts, manage long/complex context, and evaluate quality at scale. If you love building durable platforms (not just prototypes), this role is for you.

What You’ll Do

• Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.

• Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.

• Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).

• Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.

• Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.

• Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.

• Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Required Qualifications

• Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).

• Professional Java experience building maintainable, testable services in production (this is core to the role).

• Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).

• Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).

• Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).

• Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.

Nice-to-Have Qualifications

• Experience with search/retrieval/relevance/ranking systems (highly aligned to context work).

• Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies.

• Familiarity with LLM evaluation patterns (golden sets, automated metrics, human review), hallucination mitigation, and quality measurement.

• Experience with distributed systems, event-driven architectures, or stream processing.

• Cloud/platform experience (e.g., Kubernetes, AWS/GCP) and running services in production.

• Some Python experience (useful, but not the primary language).

The PreSales mission is to sell better to reduce turn rate and to push for value-driven propositions that solve for customers. 

As a Solutions Engineer, you will partner with the sales organization seamlessly to drive the execution of prospective and expansive deals. You will utilize your technical knowledge to become a trusted partner with sales and services.

What will your day-to-day look like? 

• Building and maintaining relationships with sales reps, partners, customers and other internal stakeholders
• Gaining knowledge of HubSpot products for better-proposed solutions
• Understanding customer challenges and how to deliver technical value to meet their business goals and objectives
• Participating and directing projects relevant to PreSales, sales, and the wider business
• Coaching and mentoring less experienced team members

What do you need to succeed in this role?

• PreSales, technical consultant/sales role or similar (3+ years)
• Experience working with internal teams and stakeholders and dealing with external customers 
• You are open to admitting mistakes and believe that actionable feedback is a great way to learn and grow
• You enjoy collaborating with different teams and are motivated to develop yourself
• You have HEART

The presales mission is to sell better to reduce turn rate and to push for value-driven propositions that solve for customers. 

As a Solutions Engineer, you will partner with the sales organization seamlessly to drive the execution of prospective and expansive deals. You will utilize your technical knowledge to become a trusted partner with sales and services.

What will your day-to-day look like? 

• Building and maintaining relationships with sales reps, partners, customers and other internal stakeholders
• Gaining knowledge of HubSpot products for better-proposed solutions
• Understanding customer challenges and how to deliver technical value to meet their business goals and objectives
• Participating and directing projects relevant to presales, sales, and the wider business
• Coaching and mentoring less experienced team members

What do you need to succeed in this role? 

• Fluency in written and spoken English & Dutch
• PreSales, technical consultant/sales role or similar (6+ years)
• Experience working with internal teams and stakeholders and dealing with external customers 
• You are open to admitting mistakes and believe that actionable feedback is a great way to learn and grow
• You enjoy collaborating with different teams and are motivated to develop yourself
• You have HEART

What are the perks that come with this role?

• Constant learning - HubSpot product is frequently updated and you need to be aware of all the new features.
• Supportive team - your peers and Manager will be there to set you up for success.
• Professional Development - career progression in PreSales, or transitioning to other teams; Mentorship, and Team Lead Programs. 
• Benefits - check out here

This role can be Office/Hybrid/Remote based within the UK

HubSpot is on the forefront of empowering businesses with cutting-edge AI, and our AI Infrastructure group is at the heart of this initiative. We are seeking a Staff level Software Engineer with a passion for infrastructure and developer experience to join our AI Serving team. The AI Serving team is part of AI Infrastructure and its goal is to own and operate HubSpot's model inference and serving infrastructure end-to-end, ensuring AI models are reliably deployed, scaled, observed, and cost-efficient across all hublets and environments, while also serving as the home for modern Python at HubSpot.

The team owns the serving frameworks and libraries that power synchronous, asynchronous, and offline inference, along with model deployment pipelines, autoscaling, and GPU/CPU resource management. The team's roadmap focuses on improving the reliability and efficiency of batch inference, strengthening model observability, and scaling AI infrastructure cost-effectively. The team also serves as the home for core Python libraries and tooling across HubSpot.

As a Staff Software Engineer on the AI Serving team you will:

• Write and ship production code that directly powers AI capabilities across HubSpot, a crucial building block for user and business impact at scale
• Lead the evolution of our model serving and inference infrastructure, improving reliability, scalability, and cost-efficiency
• Set technical direction for how HubSpot deploys and operates ML models at scale, guiding decisions on architecture, cost optimization, and developer experience
• Work closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving
• Gain deep exposure to a wide range of HubSpot infrastructure systems through building and maintaining core Python libraries, an excellent  opportunity to learn how HubSpot operates under the hood
• Collaborate with HubSpotters all over the company, whether in engineering, product, design, research, marketing, sales, etc, gaining exposure to how HubSpot works as a business
• Be empowered to show up as your authentic self and choose a work style and location where you can do your best work, whether that's at home, in an office, or a blend of the two

We're not just looking for engineers with many years of experience. Instead we're looking for engineers who also have a track record of unique excellence, leadership, and leveling up those around them.

We work with Python and Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we'd like to see:

• A proven track record of directly contributing to and leading infrastructure projects at scale, ideally in serving, deployment, or platform engineering
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall platform architecture
• The ability to work effectively across teams, driving technical initiatives spanning multiple groups within AI Infrastructure and beyond
• Comfort with ambiguity: you can take on broad, cross-team problems and drive them to resolution without waiting for every detail to be specified
• Coaching and mentorship experience
• A track record in partnering successfully with recruiting to build remarkable engineering teams
• Bonus: Python expertise. Experience with Python tooling, libraries, and developer experience is a strong plus, given the team's role in stewarding Python across AI workloads at HubSpot

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply. We'd love to hear from you.

This role can be Office/Hybrid/Remote based within Ireland

HubSpot is on the forefront of empowering businesses with cutting-edge AI, and our AI Infrastructure group is at the heart of this initiative. We are seeking a Staff level Software Engineer with a passion for infrastructure and developer experience to join our AI Serving team. The AI Serving team is part of AI Infrastructure and its goal is to own and operate HubSpot's model inference and serving infrastructure end-to-end, ensuring AI models are reliably deployed, scaled, observed, and cost-efficient across all hublets and environments, while also serving as the home for modern Python at HubSpot.

The team owns the serving frameworks and libraries that power synchronous, asynchronous, and offline inference, along with model deployment pipelines, autoscaling, and GPU/CPU resource management. The team's roadmap focuses on improving the reliability and efficiency of batch inference, strengthening model observability, and scaling AI infrastructure cost-effectively. The team also serves as the home for core Python libraries and tooling across HubSpot.

As a Staff Software Engineer on the AI Serving team you will:

• Write and ship production code that directly powers AI capabilities across HubSpot, a crucial building block for user and business impact at scale
• Lead the evolution of our model serving and inference infrastructure, improving reliability, scalability, and cost-efficiency
• Set technical direction for how HubSpot deploys and operates ML models at scale, guiding decisions on architecture, cost optimization, and developer experience
• Work closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving
• Gain deep exposure to a wide range of HubSpot infrastructure systems through building and maintaining core Python libraries, an excellent  opportunity to learn how HubSpot operates under the hood
• Collaborate with HubSpotters all over the company, whether in engineering, product, design, research, marketing, sales, etc, gaining exposure to how HubSpot works as a business
• Be empowered to show up as your authentic self and choose a work style and location where you can do your best work, whether that's at home, in an office, or a blend of the two

We're not just looking for engineers with many years of experience. Instead we're looking for engineers who also have a track record of unique excellence, leadership, and leveling up those around them.

We work with Python and Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we'd like to see:

• A proven track record of directly contributing to and leading infrastructure projects at scale, ideally in serving, deployment, or platform engineering
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall platform architecture
• The ability to work effectively across teams, driving technical initiatives spanning multiple groups within AI Infrastructure and beyond
• Comfort with ambiguity: you can take on broad, cross-team problems and drive them to resolution without waiting for every detail to be specified
• Coaching and mentorship experience
• A track record in partnering successfully with recruiting to build remarkable engineering teams
• Bonus: Python expertise. Experience with Python tooling, libraries, and developer experience is a strong plus, given the team's role in stewarding Python across AI workloads at HubSpot

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply. We'd love to hear from you.

This role can be Office/Hybrid/Remote based within Ireland

We’re looking to add a Staff Software Engineer to join the Engage Product Group in Flywheel Product Line. 

Engage Product Group mission is to reinvent HubSpot GTM Sales teams by supercharging our sales reps with world-class AI to help them hit and exceed plans. We build, evolve and maintain sophisticated AI products that meaningfully increase closed won rates by qualifying inbound leads with AI, providing intelligent insights and coaching, and generate highly-customized demo instances for every HubSpot prospect using multi-agent systems.

For this specific role, we are building a reusable, reliable, and intelligent context layer for GTM AI and agents. Our goal is to centralize insight storage, search, and retrieval; enabling faster experimentation; improving insight quality through evaluation and versioning; and powering flagship agents and guided experiences with consistent, high-quality context. 

Staff Software Engineers are highly productive, impactful, and trusted engineers who leverage their skills and knowledge to work autonomously on the most complex projects and set technical direction. These problems can be broad, deep, and often span across multiple teams and product areas. Context will be your primary focus for the next few months, but we expect that you will deploy to other teams in the group over time as well.

As a Staff Software Engineer on Engage Context team you will:

• Write and ship production code that has meaningful business and GTM impact
• Disambiguate, design and build new AI features, agents and insights, each contributing to GTM efficiency and user or prospect experience
• Work with a small cross-functional teams of product engineers, ML engineers, PMs and designers
• Collaborate with HubSpotters and GTM folks all over the company
• Get deep exposure to how HubSpot GTM works

We’re looking for engineers who have a track record of strong business and product mindset, who enjoy working with real GTM challenges and can navigate ambiguity with high levels of autonomy and passion.

We work with Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we’d like to see:

• Experience in building AI products, especially but not only in GTM context, with a track record of tackling evaluations and innovation on top of frontier models advances.
• Experience in building products used by GTM teams - sales or service - and drive for using technology to drive business outcomes.
• Experience working closely with product management, designers and GTM teams, to help disambiguate problems, opportunities and co-create a solution.
• A passion for clean, scalable code and engineering excellence.
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall product architecture.
• Coaching and mentorship experience.

POS-23538

At HubSpot, we’re on a mission to help millions of organizations grow better. Our platform is used by businesses worldwide to manage their marketing, sales, service and operations — and under the hood, our product is built to be flexible, secure and empowering for both our customers and our own engineering teams. We believe in autonomy, curiosity and building a workplace where everyone can thrive.

Meet the team: Messaging Strategy Frontend (Messaging Product Group)

The Messaging Product Group builds the apps and infrastructure behind marketing Email, SMS and WhatsApp in HubSpot. We work at a serious scale, powering billions of messages per month. We focus on building reliable systems while continuously innovating the product to help our customers achieve better outcomes.

Messaging Strategy Frontend builds the core customer-facing experiences that marketers use every day to create, manage and publish marketing emails and SMS. This is where marketers plan campaigns, iterate on content and make decisions that directly impact their results, across journeys that need to scale and adapt as customers grow with HubSpot.

As a Tech Lead II, you’ll be a player-coach for this space, setting technical direction, shaping product execution and helping a small team deliver high-quality experiences that marketers rely on every day.

What You’ll Do

• Lead a high-impact frontend team building and evolving the core Marketing Email and SMS management experiences (dashboards, creation flows, send/review UIs, experimentation and related onboarding surfaces).
• Contribute high-quality React/TypeScript code while guiding architectural decisions, reviewing designs and unblocking others.
• Own technical strategy for the team’s frontend surface area, including modular architecture, design system usage and cross‑app/library boundaries across Messaging.
• Partner in the leadership triad (with Product Management and Product Design) to set goals, sequence work and make trade‑offs that balance customer impact, reliability and iteration speed.
• Drive medium-to-large, multi-quarter initiatives end-to-end, from problem definition and technical proposals through implementation, rollout and measurement.
• Champion reliability and service maturity for our frontend applications. Define SLIs/SLOs, improve performance (bundle size, latency) and keep the app inside our targets.
• Mentor and grow engineers on the team through design reviews, code reviews, pairing and 1:1s, providing clear and actionable feedback.
• Collaborate closely with backend and infra teams across Messaging to design reliable, observable front-to-back solutions that scale across channels.
• Help define and uphold engineering best practices across testing, accessibility, telemetry, experimentation and on-call for our frontend services.
• Play an active role in hiring and onboarding new engineers and in representing HubSpot’s values and HEART culture throughout the interview process.

What you’ll bring

• Deep frontend engineering experience (typically 7+ years) building complex, user‑facing web applications with technologies like React, TypeScript and modern JS tooling, ideally at SaaS scale.
• A proven track record as a technical lead or senior engineer leading at least 2–3 medium‑to‑large projects from design through production, with clear customer or business impact.
• Strong system design and architectural skills in the frontend, with the ability to break down ambiguous product problems, design clear interfaces and boundaries and make pragmatic trade-offs between speed and robustness.
• Experience leading a small team or pod as a player-coach, setting direction, coordinating work and helping others grow while still contributing meaningfully to the codebase.

• A strong sense of ownership over reliability and quality. You’re comfortable digging into performance issues, production incidents and test flakiness and driving them to resolution.
• Excellent cross functional communication skills with the ability to explain technical decisions to engineers and non engineers, write clear documentation and drive alignment across teams and time zones.
• A customer‑ and product‑oriented mindset. You’re motivated by improving marketers’ real workflows (not just shipping features) and you use data and feedback to inform decisions.

Nice to Have

• Experience in marketing technology, messaging, or communications products (email, SMS, WhatsApp, or similar).
• Background working on large-scale, multi‑surface products where multiple UIs share libraries, design systems and infrastructure.
• Experience with performance optimization (bundle size, lazy loading, caching strategies) and service maturity / SLO‑driven development.
• Comfort working in environments with experimentation and AI‑powered workflows, or interest in learning quickly in this space.
• Prior experience in mentoring and developing senior engineers and in collaborating closely with EMs/TLs on promotions, feedback and growth plans.

 -

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-VIETNAM
#LI-BRAZIL
#LI-INDIA

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-BRAZIL
#LI-INDIA

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems
  
  
  

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-VIETNAM
#LI-BRAZIL
#LI-INDIA

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-BRAZIL

Building a Brand Starts with a Story

FIRST is a leading global brand experience agency providing Content, Creative, Digital Technology, Management & Delivery, and Data & Insights services. For 30 years, we have utilized three flexible delivery models: Embedded teams, Corporate Campus operations, and a Full-Service Agency.

Managing over 37,000 events & projects annually across 110 countries, FIRST serves 130+ brands, specializing in Fortune 500 companies within the Financial Services, Technology, Healthcare, Media, and Professional Services sectors. FIRST is part of the broader Encore family of companies. Encore is a global leader in event production and technology.

Consistently recognized for excellence, recent honors include 2026 Chief Marketer Agency of the Year, the Ad Net Zero Award for sustainability, and more.

Learn more at www.firstagency.com

What You Would Get To Do

In this role, the AV Systems Engineer will maintain the Audio, Video, Lighting, and Control systems that drive the facility, as well as networks, media ingest systems, and post-production systems.

The role requires the ability to work effectively with a wide range of people across the AV and Events space. We’re looking for an AV engineer with hands-on production experience who can provide technical support and guidance to events and conferences at all business levels.

The role also requires flexibility to occasionally work outside of traditional office hours, depending on demand and production requirements.

Your Contributions

• Provide back-end support to the Event Technicians on productions on-site and remotely
• Set up and monitor facility routing between event spaces and the main Control Rooms
• Perform on-site and remote maintenance on specialist equipment for event production and broadcast
• Design, test, evaluate and install new circuitry/equipment for use in the facility
• Analyse and repair technical faults on equipment beyond the first line of troubleshooting
• Manage client expectations on tech-related issues
• Ensure that production equipment is running the latest versions of software/firmware to enable new features
• Identify a suitable workaround when equipment has failed to ensure continuity of the service
• Interpret and implement instructions and requests from event production meetings in order to deliver the maximum capability the facility can offer
• Help enhance the user experience by utilising available engineering resources
• Produce and update technical documentation
• Keep up-to-date with the industry and changes in technology by building and maintaining a network of contacts and investigating new systems and techniques
• Be able to travel between sites or assist remotely in order to perform break/fix and maintenance duties
• Train operational staff on existing or new equipment
• Own maintenance and engineering initiatives, including project management and 3rd party vendor liaison
• Provide custom workflow and routing configuration for productions, facilitate ground-up production setups in soundstages, and monitor productions and livestreams for optimal system performance
• Regularly flex into production operator roles when staffing emergencies arise, when periods or relief need to be provided to operators during extended production calls, or when leave coverage is required

What We Are Looking For

• 5-7 years of experience in a similar role
• Experience with Q-Sys and Dante
• Experience working with some or all of the following products: Yamaha, Dante, Evertz, Ross Carbonite and Ultrix, Barco E2/S3 or Analogue Way Aquilon, Panasonic PTZ cameras and controllers, Unilumin LED walls and Novastar or Megapixel processors, ETC ION theatrical lighting controllers. 
• Ability to apply digital and analogue theory and work from diagrammatic information
• Ability to work across all event production and broadcast studio operations
• Deep understanding of front-line maintenance and diagnostics on networked environments
• Excellent face-to-face communication as well as written skills
• Rigging experience a plus
• Ability to read, understand, and write technical documentation, AutoCAD (or equivalent) skills would be beneficial
• Understands video compression and file-based workflows
• Excellent analytical/troubleshooting practices and attention to detail
• In-depth understanding of TCP/IP networking
• Ability to take a service-oriented approach to this position, with a desire to help clients achieve their best results
• Ability to remain calm under pressure
• Excellent time management skills and the ability to prioritise critical elements in the workflow
• Ability to work well within a team

Administrative and General

• Assume responsibility for one's own environment, ensuring adherence to health and safety policies while having clean, smart surroundings
• Work intelligently and ensure that team management is aware of problems or issues which negatively affect productivity
• Build excellent relations with the team, clients, vendors, and key venues through positive communications
• Ensure knowledge is shared within the team to enable them to work smarter
• Work on ad hoc requests as required, typically during quiet times

#LI-TS1 #LI-Onsite

About the Role

We’re looking for a Junior Security Operations Engineer who is AI-Forward to help scale and modernize our SecOps program. This is a hands-on, builder role for someone who will design and ship the security tooling that powers our triage, investigations, and response workflows.

You’ll report to the Technical Operations Director and work alongside our GRC lead to improve our vulnerability intake, threat response, darkweb posture, and internal security tooling. A core part of this role is building AI-assisted security tooling: triage agents that pre-classify bug bounty reports, investigation copilots that pull context from logs and SIEM data, response workflows that draft remediation steps and track them to closure. You’ll spend as much time wiring up that tooling as you will reproducing vulnerabilities and working incidents.

This role suits someone who thrives in a lean, high-impact environment, has strong opinions on where humans add value versus where tooling should take over, and wants to shape how a modern security team operates.

What You’ll Do

Triage & Vulnerability Management

• Review incoming vulnerability reports from our bug bounty intake; reproduce and document valid issues for engineering teams.
• Build the tooling that improves signal-to-noise: automate duplicate detection, spam filtering, and abuse flagging so humans only touch what’s worth touching.
• Act on DAST findings: coordinate remediation, verify fixes, and re-test.
• Track remediation timelines for critical vulnerabilities and keep stakeholders honest on SLAs.

Threat Response & Monitoring

• Monitor and respond to EDR and cloud security alerts; investigate, contain, and document.
• Analyze darkweb findings and credential exposures; shape our darkweb monitoring practices and tooling over time.
• Improve detection coverage: tune noisy rules, close gaps, and enrich alerts with context so responders spend time on decisions, not data gathering.
• Help configure and tune DLP, SIEM, and AI security tooling.

Security Tooling (core to this role)

• Build AI-assisted triage tooling that pre-classifies bug bounty reports, flags duplicates, and routes real issues to the right engineering team with reproduction context attached.
• Build investigation tooling: LLM-backed copilots and Slack bots that pull alert context, correlate signals across sources, and surface what actually matters.
• Build response tooling: workflows that draft remediation steps, generate evidence artifacts, and track issues to closure across the teams that own them.
• Evaluate emerging AI security tooling and bring what’s genuinely useful into the stack; retire what isn’t.
• Apply a security-minded lens to our own AI usage: prompt injection, data exfiltration, model misuse, and the guardrails that go around them.

Compliance & Cross-Functional

• Support audit evidence collection for SOC 2, ISO 27001, and PCI DSS.
• Partner with ITOps to verify patches, endpoint coverage, and access hygiene.

You May Be a Good Fit If You Have

• Previous experience in a SecOps, Security Analyst, or Threat Response role.
• Proven ability to understand and reproduce technical vulnerabilities. You can read a bug report and tell whether it’s real.
• Experience with bug bounty triage (HackerOne, Bugcrowd, or similar).
• Hands-on exposure to SIEM, EDR, and DLP tools in production environments.
• A genuine, demonstrated interest in applying AI/LLMs to security work: side projects, internal tooling, prompt engineering, agent frameworks, anything that shows you’ve actually built with this stuff.
• Scripting and automation skills in Python, Bash, or similar. You reach for code before you reach for a checklist.
• Comfort working autonomously across time zones and asynchronously.
• Strong written communication. You can turn a messy investigation into a clear, defensible writeup.

Bonus Points For

• Experience building LLM agents, RAG pipelines, or Slack bots backed by OpenAI / Anthropic / open-source models.
• Detection engineering experience (Sigma rules, custom Falcon queries, Grafana/Loki dashboards).
• Cloud security depth in AWS or GCP (IAM, workload posture, cloud-native logging).
• Prior work in regulated environments (SOC 2, ISO 27001, PCI DSS) from the practitioner side.
• Exposure to AI/ML security concerns such as prompt injection, model evals, and data leakage through LLMs.
• Public contributions: blog posts, CVEs, open-source tools, CTF writeups.

Engagement & Logistics

• Full-time contract.
• Remote-first and async-friendly. We have hubs in San Francisco, Denver, Dublin, and Amsterdam. If you’re near one, we’d love to see you in the office regularly; if you’re elsewhere in the world, that works too.
• Potential to extend or convert based on fit.
• Reports to the Technical Operations Director; works closely with the GRC lead and IT Operations.

How We Work

We’re a lean, high-trust team. We value people who ship, who can operate independently, and who treat security as an engineering problem rather than a checklist. If you’re someone who sees a repetitive task and immediately thinks “this should be a script, or better yet, an agent,” you’ll fit in here.

To Apply

Tell us about a time you used AI, automation, or custom tooling to meaningfully change how a security workflow ran. What was manual before, what it looked like after, and what you learned. Links to code, writeups, or demos are welcome.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

A bit about the team

Every restaurant is different and faces its own unique challenges. Across global markets, these challenges vary significantly. The mission of the Europe team is to tackle these challenges head-on by building purpose-built products that meet the complex needs of the Europe customer base. This includes deepening the product experience with our existing European customers and also adapting our product for future market growth. 

To meet these goals it involves building brand new products and features that integrate seamlessly into the existing Toast product suite. As a Principal Engineer on the team, you will set the technical direction for how we rapidly build iterative solutions within the existing Toast technology stack—all while maintaining excellent quality and architecting for long-term scale.

As a Principal Engineer, you are expected to be closely aligned with engineering leaders across Toast. You will define and promote architectural best practices, champion new technologies and innovative thinking, and serve as a technical thought leader for the broader organization. You will be responsible for mentoring and upskilling the engineering teams around you.

If you're motivated by solving problems at the intersection of customer needs and technical challenges, and eager to leave a lasting mark on Toast’s future growth, this role offers a rare opportunity to do so.

A day in the life (Responsibilities) 

• Develop and execute technical strategies to solve complex business challenges, leveraging data and customer insights  to prioritize impactful improvements
• Establish guiding technical and delivery principles that influence engineering practices across the broader engineering organization.
• Mentor and guide engineers, fostering a culture of continuous improvement, inclusivity, and engineering excellence.
• Build and maintain strong partnerships across lines of business, aligning technical solutions with strategic objectives.
• Work closely with our cross functional leaders across the customer facing organisations

What you'll need to thrive (Requirements)

• 8+ years of experience in software engineering, with a strong background in full-stack development is essential.
• Extensive experience with Java, Kotlin, or other object-oriented languages, and experience building complex, customer-facing applications is a must
• Strong skills with modern web and API standards and technologies (e.g. React, REST, GraphQL), delivering cohesive end-to-end experiences from UI through services.
• You must have experience leading or influencing large, cross-team platform initiatives, setting technical direction beyond a single team or service.
• Proficient with data stores, both relational and non-relational databases.
• Demonstrated ability to deliver and operate business-critical, customer-facing systems, with a strong focus on reliability, performance, and operational excellence.
• Demonstrated ability to deliver high-impact, scalable solutions, balancing platform leverage with end-to-end user experience.
• Strong leadership and mentoring skills, with a track record of guiding teams through architectural and experience transformations.
• Excellent communication skills and a passion for engineering excellence, including collaborating closely with product, design, and operations to improve customer outcomes.
• Passionate about driving innovation and continuously improving engineering practices.

What will make you stand out (Nice to Have)

• Deep expertise in pricing systems or e-commerce tax management for international markets
• Track record of launching zero-to-one products within established organizations
• Experience operating in both larger tech organizations and startup environments, with demonstrated ability to thrive at enterprise scale

**This is a hybrid role requiring in-office collaboration two days per week in our Dublin office.**

#LI-HYBRID

#BI-Hybrid

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.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, team management, guest-facing technology, and award-winning customer support. As a Toaster, you will be challenged to take on meaningful projects to help craft the company's future. Join us as we empower the restaurant community to delight guests, do what they love, and thrive.

We're looking for a Staff Software Engineer to join in building AI agents for Toast's Team area, which is part of the Fintech line of business. The Team area is a mission-critical space on which our restaurants rely to manage their staff and optimize their labor. You'll play a key roll* in the design, development, and delivery of autonomous agents that transform how restaurant owners manage their workforce, blending cutting-edge AI with practical restaurant operations.

A day in the life (Responsibilities)

• Be hands-on in developing and shipping Team Agent products that leverage LLMs and agentic frameworks
• Flex your full-stack development muscles with challenging end-to-end tasks in a supportive, collaborative team environment
• Partner with product managers, designers, and fellow engineers to build autonomous agents that transform restaurant workforce management
• Participate in designing, estimating, implementing, testing, and debugging end-to-end agent solutions
• Adopt and advocate for bleeding-edge spec-driven development and agentic development practices
• Mentor developers through code-pairing and detailed code, architecture, and project reviews
• Champion best practices for agent development, deployment, and quality life cycles
• Actively contribute to product design and feature selection discussions for the Team Agent space

What you'll need to thrive (Requirements)

• Strong foundation in Java, Kotlin or other object oriented language(s)
• Experience with modern web standards and technologies (e.g. React, TypeScript, REST, GraphQL)
• Experience or strong interest in using coding agents and adopting agentic development practices
• Passion for building autonomous agents and working with LLMs
• A proven track record of building partnerships across engineering, product, customer success, and other stakeholders
• Experience and interest in mentoring peers
• Experience maintaining a high bar for quality, and guiding teams to hold a high bar for the technical quality of their deliverables.
• Strong customer empathy and a drive to make their lives better through a thoughtful user experience, robust technical solutions, and continuous product improvement

Special Sauce* (Nonessential Ingredients)

• Experience designing agentic products
• Experience building systems that leverage LLMs and other ML models
• Experience with event-driven distributed systems
• Solid understanding of workforce management
• Solid understanding of restaurant operations

#LI-HYBRID
#BI-Hybrid

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.

What's the opportunity? 

We’re looking for Senior Product Engineers to join the AI Group to build Intercom’s AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. 

Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! 

What will I be doing? 

Product Engineers in the AI Group

• Build the systems that power Intercom’s flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.

• Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use.

• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers..

• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.

• Play an active role in the hiring, mentoring, and career development of other engineers.

• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

Profile we’re looking for 

These are meant to be indicative, not hard requirements.

• 5+ years of experience shipping high-quality products.

• No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.

• You can demonstrate significant impact in the work that you have done.

• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.

• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here!

• Strong willingness to fight for good outcomes

• Bias towards progress over perfection

• BSc in Computer Science, Maths or Statistics or related discipline 

Bonus skills & attributes 

• Previous experience in data analytics, or statistical role

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up

• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

• Regular compensation reviews - we reward great work!

• Pension scheme & match up to 4%

• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

• Flexible paid time off policy

• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 

• MacBooks are our standard, but we also offer Windows for certain roles when needed.