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

Note: if you are an intern, new grad, or staff applicant, please do not apply using this link and visit our jobs page for those specific postings.

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 

The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently. This includes building APIs for processing payments, enabling regional, non-card payment options, and extending Stripe's capabilities to make it easy for businesses to accept in-person payments. The Risk Engineering team develops products that minimize financial and regulatory risks while ensuring a seamless user experience, thereby safeguarding Stripe’s brand and financial stability. 

Team Matching: exact team matching for one of the subteams within this org 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 Backend engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You’ll play a key role in extending our balance management platform and in building out a new funds accessibility platform leveraged by enterprises and SMBs alike. Our team collaborates with many cross-functional teams – from Infrastructure to Product –  at Stripe to deliver innovative solutions that address evolving user needs.

Responsibilities

• Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests
• Debug and solve critical production issues across services and multiple levels of the stack
• Mentor engineers to help them grow
• Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes
• Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues

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 nor includes co-ops)
• 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 with large-scale financial tracking systems
• Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.) 

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.

The Principal Software Engineer role requires partnering across Product Management, Architects, Engineering, Hosting and Operations. Extensive hands-on technical expertise coupled with ingenuity, broad industry knowledge and excellent communication skills. Will use their understanding of technology, frameworks, and constraints to help pave the way for future innovation on our platforms.

You will contribute to the architecture of large-scale commerce systems on Sony’s PlayStation Network Platform. Your work will follow industry standard guidelines to enable highly available, active-active, extensible services.

Participates in product road-map discussions and identify key areas for improvement in the product and incorporates these goals into ongoing & future development initiatives.

What you'll be doing:

• You are passionate about making distributed systems better and have an insatiable thirst to keep learning.
• You have deep expertise in system engineering and have successfully improved the performance of the software stack.
• You design and develop high-quality software solutions that meet requirements. Including code, debugging, and testing.
• You have implemented rigorous standard methodologies for measuring, understanding, predicting, and improving how enterprise grade systems operate (even better if they happen to be Data oriented). 
• You have taken a project from scoping requirements to actual launch of project.
• You know how to build a positive relationship with Architects to influence technology decisions. 
• You document designs, implementations and tests.
• You have led a development community establishing and influencing quality engineering standard methodologies across the development community.

What we're looking for:

• BS Degree in Engineering, Computer Science or equivalent experience.
• 10+ years’ experience in software development, programming, design, and analysis.
• Expertise in programming languages and technologies including Java, Python, Golang, and infrastructure as code (Terraform, Cloud formation).
• Experience delivering high performance, active-active, scalable services (Enterprise Java/J2EE, Web Services, large-scale data systems/NoSQL) 
• Experience with Containers (Docker and Kubernetes)
• Proficient in the software development process, including coding standards, code reviews, source control management, build processes, testing, and operations. 
• Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance, and scalability.
• Possess deep knowledge of computer science fundamentals such as object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
• Identifying and mitigating technical risks.
• Strong knowledge of SQL and NoSQL programming (Oracle, Cassandra, Amazon Aurora) including both relational database schema designs and schema-less systems.
• Hands-on experience in Amazon Web Services, at enterprise scale is required including familiarity with DynamoDB, Aurora, EC2, and other AWS services.
• Experience performing performance testing and/or development efforts for a complex, high throughput system.
• Solid understanding of the path(s) customer requests flow from web browser to back-end.
• Synchronous and asynchronous patterns and use cases. (REST, RPC, EDA, Eventual Consistency)
• Understanding of Domain Driven Design
• Understanding of loose coupling software design patterns (i.e., hexagonal architecture)
• Have an opinion around microservice vs SOA.
• Conduct research on new technologies and methodologies, and make recommendations for improvement. 
• Proven ability to take a project from scoping requirements to actual launch of project.
• Work with other Principal Engineers to align technology and architecture strategies.
• Extensive experience with agile development methodologies and practices involving creating tests prior to coding required.
• Experience with open source technology stacks and scripting technologies required.
• Ability to handle periodic on-call duty as well as out-of-band requests.
• Possess outstanding verbal and written communication skills and be able to work with others at all levels, effective at working with geographically remote and culturally diverse teams.

Helpful but not required:

• Game industry experience
• Azure/GCP

Sony Interactive Entertainment is searching for experienced Full Stack Software Engineers to join our team and contribute to the development of in-house applications. This role involves creating seamless and secure solutions and ensuring delivery of exceptional user experiences. As a full-stack developer, you will work across the stack, contributing to both the front-end and back-end architecture and implementation. This is an opportunity to participate in a fun, demanding, fast-paced environment for individuals who thrive on new challenges and creative solutions.

What you'll be doing:

• Architect, design and develop RESTful API Endpoints, ensuring high performance, scalability and maintainability.
• Collaborate with other Front-End Engineers and develop dynamic, responsive and user-friendly web applications.
• Define Data Models and database schemas and manage relational databases or NoSQL databases ensuring data integrity and performance.
• Create and maintain documentation of application design, configuration and maintenance.
• Provide accurate timelines for specific tasks assigned.
• Participate in scheduled on-call rotation and respond to emergencies.

What we're looking for:

• 3+ years professional experience working with medium/large complex code bases
• Experience in Full Stack development
• Experience with one or more of the following programming languages: Java, Go, or Python
• Experience in REST API design and implementation
• Proficient in HTML, CSS, the JavaScript ecosystem and familiarity with popular frameworks like React, Angular, Ember, Jest, Babel, and TypeScript
• Knowledgeable in UI/UX design principles
• Strong communication and interpersonal skills
• Desire to collaborate and to develop strong and positive team relationships
• Attention to detail, organizational skills, a strong work ethic and the ability to work independently.

Preferred Qualifications:

• Bachelor’s degree in Computer Science or related field, or at least three years of proven experience in lieu of a degree
• Demonstrated ability to write clean, maintainable, and well-documented code.
• Database management, cloud technologies (AWS), and containerization (Docker, Kubernetes)
• Knowledge of React best practices
• Familiarity with DevOps tools and practices, including CI/CD pipelines
• Automated deployment tools (e.g. Terraform, Ansible, Jenkins)
• Excellent problem-solving skills and attention to detail
• Experience with Agile development methodologies such as SAFe, Scrum

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a Senior Software Engineer to join our core team and perform a healthy mix of design and implementation tasks to advance the technical foundation behind the Fivetran product offering.

This team is tasked with evolving a high performance extract-load-trans form data integration system that enables our engineering teams to correctly implement hundreds of data connectors with minimal maintenance effort. The role will challenge you to reason about relational semantics, powerful abstractions, data representation, and software performance. You don’t need to be a subject matter expert before you join us (you will be one before you leave!), but you will need to have experience working carefully with a high impact software team — especially in environments where the best option may not be obvious, your decisions have cascading implications, and where you sometimes need to measure twice before you cut once. A successful candidate will be humble enough to collect diverse input and build consensus, will be experienced and confident enough to be decisive when it’s needed, and will be practical enough to build and iterate on the system while it’s in production. We are also looking for expertise and productivity with both modern and legacy software development environments.

This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• C (our main language), Python (used in testing), relational databases (Postgres, Oracle, SQL Server), make
• GitHub Copilot, Claude Code, Jenkins, GCP , Azure, AWS
• macOS/Linux/Unix/Windows, git

What You’ll Do

• Learn deeply about Fivetran in order to focus development on practical and relevant system improvements
• Contribute to the development and planning of our roadmap
• Collaborate with a small but mighty core team, and with a broader set of stakeholders
• Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
• Review and approve pull requests
• Care and feel ownership of our product, and leverage your skills towards improving it

Skills We’re Looking For

• You are execution-oriented, and understand the need to target your “innovation budget” for the greatest impact: you find the middle ground between “perfect, but takes forever to code” and “fixes it now, but nobody will ever be able to understand what I did”
• You know how to design and code systems and software that is effective, intuitive, easy-to-operate, and elegantly simple
• You have worked with the relevant tooling and techniques: cloud services, network protocols, serialization, relational databases, etc.
• You have knowledge of complex structures, object orientation, exceptions, memory management techniques.

Bonus Skills​

• Experience with data replication, ETL/ELT tools, cloud and software defined infrastructure tools (for instance AWS Cloud Formation, Kubernetes, Docker), API technologies and analytics is definitely a plus
• Knowledge of DBMS internals is a strong plus
• Familiarity with low level concepts, such as encoding and the internals of network communication, is a strong plus
• Familiarity with system level programming (such as process and memory management and inter-process communication) is a plus

#LI-IM1

#LI-Hybrid

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a Senior Software Engineer to join our core team and perform a healthy mix of design and implementation tasks to advance the technical foundation behind the Fivetran product offering.

This team is tasked with evolving a high performance extract-load-trans form data integration system that enables our engineering teams to correctly implement hundreds of data connectors with minimal maintenance effort. The role will challenge you to reason about relational semantics, powerful abstractions, data representation, and software performance. You don’t need to be a subject matter expert before you join us (you will be one before you leave!), but you will need to have experience working carefully with a high impact software team — especially in environments where the best option may not be obvious, your decisions have cascading implications, and where you sometimes need to measure twice before you cut once. A successful candidate will be humble enough to collect diverse input and build consensus, will be experienced and confident enough to be decisive when it’s needed, and will be practical enough to build and iterate on the system while it’s in production. We are also looking for expertise and productivity with both modern and legacy software development environments.

This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• C (our main language), Python (used in testing), relational databases (Postgres, Oracle, SQL Server), make
• GitHub Copilot, Claude Code, Jenkins, GCP , Azure, AWS
• macOS/Linux/Unix/Windows, git

What You’ll Do

• Learn deeply about Fivetran in order to focus development on practical and relevant system improvements
• Contribute to the development and planning of our roadmap
• Collaborate with a small but mighty core team, and with a broader set of stakeholders
• Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
• Review and approve pull requests
• Care and feel ownership of our product, and leverage your skills towards improving it

Skills We’re Looking For

• You are execution-oriented, and understand the need to target your “innovation budget” for the greatest impact: you find the middle ground between “perfect, but takes forever to code” and “fixes it now, but nobody will ever be able to understand what I did”
• You know how to design and code systems and software that is effective, intuitive, easy-to-operate, and elegantly simple
• You have worked with the relevant tooling and techniques: cloud services, network protocols, serialization, relational databases, etc.
• You have knowledge of complex structures, object orientation, exceptions, memory management techniques.

Bonus Skills​

• Experience with data replication, ETL/ELT tools, cloud and software defined infrastructure tools (for instance AWS Cloud Formation, Kubernetes, Docker), API technologies and analytics is definitely a plus
• Knowledge of DBMS internals is a strong plus
• Familiarity with low level concepts, such as encoding and the internals of network communication, is a strong plus
• Familiarity with system level programming (such as process and memory management and inter-process communication) is a plus

#LI-IM1

#LI-Hybrid

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

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect? 

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large-scale use cases.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Develop software that scales to meet the demands of high-load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Ability to organize and prioritize competing workloads
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes
• Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

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.

About the Opportunity

Join Contentful as a Full Stack Software Engineer (f/m/d) and Innovate with Automations, Workflows, and Collaboration Tools.

Become a part of the innovative team at Contentful, where we empower thousands of customers to manage content at scale. We're seeking talented Full Stack Software Engineers who are passionate about building scalable, high-performance applications using modern technologies. If you're excited about pushing the boundaries of what's possible in the domain of Automations, Workflows, and team collaboration within the Contentful ecosystem — and have experience with TypeScript, React, and Node.js — we'd love to have you on our team.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class automation, workflow, and collaboration features for our customers.
• Full Stack Development: Design, develop, and maintain scalable frontend and backend features using TypeScript, React, and Node.js.
• Collaboration Tools Integration: Implement and integrate collaboration technologies to enhance team productivity and improve user experiences across the platform.
• Holistic Thinking: Consider components and systems while considering a holistic user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems to enhance customer satisfaction.
• Data-Driven Development: Utilize analytics to inform product decisions and improve features.
• Continuous Improvement: Participate in code reviews and contribute to improving our development processes.
• Stay Current: Keep up-to-date with the latest industry trends especially in the domain of automations, workflows, and collaboration tools.

What you need to be successful?

• Proven Experience: Demonstrable experience as a Full Stack Software Engineer in a product development environment.
• Technical Proficiency: Strong skills in TypeScript, React, and Node.js. Interested in clean code practices and familiarity with enterprise architectural design patterns.
• Containerization and Orchestration: Experience with Docker and Kubernetes.
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP.
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to work effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.

Preferred:

• DevOps Practices: Understanding of CI/CD pipelines and DevOps methodologies.
• Past Project Experience: Previous experience working with automation engines and/or building collaboration features and team workflow tools highly appreciated but not required.

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.

We’re looking for a machine learning engineer II in our Growth Platform engineering group. You’ll join a small and focussed team who will help us to understand our users better so we can drive engagement and growth, and to improve their user experience.

What you'll do:

• Develop and implement ML models to improve user targeting and personalization for growth initiatives
• Design and build scalable ML pipelines for data processing, model training, and deployment
• Collaborate with cross-functional teams to identify potential ML solutions for growth opportunities
• Conduct A/B tests to evaluate the performance of ML models and optimize their impact on key growth metrics
• Analyze large datasets to extract insights and inform decision-making for user acquisition and retention strategies
• Contribute to the development of our ML infrastructure, ensuring it can support rapid experimentation and deployment
• Stay up-to-date with the latest advancements in ML and recommend new techniques to enhance our growth efforts
• Participate in code reviews and collaborate with team members as needed
• Thoughtfully leverage AI tools to speed up design, coding, debugging, and documentation, while applying your own critical thinking to validate outputs and explain how you used AI in your workflow.
• Shape our AI-assisted engineering practices by sharing patterns, guardrails, and learnings with the team so we can safely increase our impact without compromising code quality, reliability, or candidate expectations.

What we're looking for:

• 3+ years of experience applying ML to real-world problems, preferably in a growth or user acquisition context
• Excellent communication skills and ability to work effectively in cross-functional teams 
• Strong problem-solving skills and ability to translate business requirements into technical solutions
• Strong programming skills in Python and experience with PyTorch
• Proficiency in data processing and analysis using tools like SQL, Spark, or Hadoop
• Experience with recommendation systems, user modeling, or personalization algorithms
• Familiarity with statistical analysis
• Experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren’t available.
• Bachelor’s/Master’s degree in a relevant field or equivalent experience.
• Nice to have:
  • Experience with Natural Language Processing (NLP) to enhance user targeting and personalization strategies
  • Proficiency in data visualization techniques
  • Experience with cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes)
  • Contributions to open-source ML projects or research publications

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: Dublin.

#LI-HYBRID 

#LI-JD1

ABOUT THE TEAM

The Voyager team in Anduril Industries is an engineering and design division with a vast experience in developing innovative computing and communications solutions for the network edge. The team specializes in integrating enterprise networking capabilities from global IT leaders with purpose-built hardware and software platforms designed to meet market demands for the most stringent of environmental requirements.

ABOUT THE ROLE

We are seeking a Software Engineer to join our Software team in Dublin. This role will involve working on a range of projects including low-power compute modules, Baseboard Management Controllers (BMC), and IP routers. Candidate will be working on Linux-based embedded OSes, embedded applications and BSPs. An ability to learn new technologies quickly and a desire to work in challenging technical roles are key requirements. Anduril has a collaborative culture with plenty of opportunities for ownership. As a member of the team, your decisions today will have a large impact on the company now and into the future, as well as on our customers.

Key Responsibilities

• Develop high-quality software solutions based on technical requirements
• Collaborate with cross-functional teams to define, design, and ship new features
• Maintain existing codebase and troubleshoot issues as they arise
• Participate in code reviews to ensure best practices are being followed
• Collaborating with development and QA teams using SCRUM/Agile methodologies

Required Qualifications and experience

• Minimum 3 years relevant previous experience
• Bachelor's degree in Computer Science or related field
• Proficiency in multiple programming languages; Python, C/C++, Bash/Shell scripting
• Strong understanding of software development lifecycle
• Good Networking knowledge - IPv4/IPv6, NAT, VPN
• Experience working with virtualisation and container technologies e.g. KVM, Docker.
• Experience with underlying linux systems such as systemd, dbus, linux network stack.
• Experience with software development for linux
• Strong problem-solving skills
• Excellent communication skills
• Ability to document work clearly
• Ability to work independently with minimal supervision

Preferred Qualifications

• Experience with build tools like yocto or buildroot
• Experience with kernel debugging.
• GDB experience.

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: 

Benefits

• Matched pension contributions up to 10%
• An annual contribution toward your private health insurance for you and your dependents. 
• Income Protection: Anduril covers life and disability insurance for all employees. 
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. 
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. 
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. 
• Professional Development: Annual reimbursement for professional development 
• Commuter Benefits: Company-funded commuter benefits based on your region. 
• Relocation Assistance: Available depending on role eligibility. 
• Free car parking

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

About the Role

The AI Integrations team builds the tools that bring AI into Telnyx's core products — think voice agents, intelligent messaging, and real-time AI features that improve our customer experience. We need a strong fullstack engineer to help us move faster.

This is a mid-level IC role. You'll own features end-to-end: building React interfaces, writing Node.js services, wiring up databases, and shipping things that work. AI experience isn't required — you'll pick that up here. What matters is that you can build solid fullstack products and want to learn.

What You'll Work On

• Fullstack features across our AI product suite — frontend to database
• Integrating LLMs and AI capabilities into real world applications (with support from the team)
• Building interfaces that make complex AI tools feel simple
• Shipping iteratively — we value working software over perfect plans

Tech Stack

Core (you should know this well):
React 18+, TypeScript, Tailwind CSS, Node.js, PostgreSQL, Prisma, TanStack Query, Docker, Kubernetes

Bonus (nice to have, happy to teach):
Next.js 15+, LLM integration, LangChain/LangGraph RAG/Embeddings, Vector Databases, MCP, WebSockets, WebRTC, Radix UI, Shadcn UI, Framer Motion

What We're Looking For

You're genuinely comfortable across the stack — not a frontend dev who can "do backend" or vice versa. You've built and shipped real features. You take ownership, communicate clearly, and don't need hand-holding.

AI interest is a plus, but we'd rather have a strong fullstack engineer who's curious than an "AI enthusiast" who can't ship.

We move fast on modern web tooling (React/Next, TypeScript, Tailwind). Expect frequent upgrades.

Values

• Ownership — you see things through
• Collaboration — you work well with others and communicate proactively
• Adaptability — comfortable with ambiguity and changing requirements
• Growth mindset — eager to learn, takes feedback well


#LI-KG1 #LI-VIETNAM
#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

Your Role:

Join our Technical Support Team at Tenable where you’ll play a pivotal role in bridging the gap between our products and customers. Solve real-world technical challenges by offering exceptional support for cutting-edge vulnerability assessment and compliance auditing software. Your expertise will shine in complex, multi-layered customer environments. Our suite of products, detailed at https://www.tenable.com/products, offers a diverse range of opportunities. From assisting customers with their first Nessus scanner to guiding them through intricate log correlation and real-time vulnerability analysis, you'll contribute to mitigating cyber risks and closing the Cyber Exposure gap. Join us in delivering top-notch support that makes a difference!

Your Opportunity:

What You'll Need:

• Bachelor’s degree in IT or Computer Science (or equivalent experience).
• 2+ years professional experience with networking (TCP/IP), OS administration(Linux/Windows/MacOS), patch deployment, and system configuration.
• Experience providing technical support to enterprise clients, troubleshooting complex issues in production or customer environments; network security experience a plus.
• Familiarity with Artificial Intelligence (AI) as Tenable continues to build an AI-augmented support model to accelerate case resolutions and to provide an exceptional customer/TSE experience.
• Knowledge of computer, network, and application security; familiarity with Nessus or similar tools is a bonus.
• Strong analytical and problem-solving skills, with the ability to learn quickly.
• Excellent written and verbal communication; customer-focused mindset.
• Ability to manage multiple priorities in a fast-paced environment to help meet business and client needs.
• Monthly availability to work weekends (8am-4:30pm) and Holidays is also required.

And Ideally:

• Using Nessus and/or other vulnerability management or cybersecurity tools, either professionally or in an academic setting.
• Experience with ticketing systems (JIRA, Salesforce, Zendesk etc).
• Log analysis using a SEIM product (Splunk, ElasticSearch, etc).
• Database technologies and SQL knowledge (Oracle, MySQL, MSSQL, etc).
• Cloud/Virtualization technologies (AWS, Azure, Docker, Kubernetes, etc).
• Fundamental understanding of programming languages.
• Experience with or understanding of Certificates and CA’s.
• Basic understanding of reviewing PCAPs with tools such as Wireshark.
• Bilingual candidates are desirable but not required (Arabic/French/German/Spanish/Italian).

#LI-JG1

#LI-Office

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

You came to Tenable for a career, not just a job. We want you to succeed in the role you have today, but also know there are opportunities for you to grow and develop professionally.

Your Role:

Tenable is looking for a Senior Software Engineer to join our Data Integrations team. Our team is focused on designing, developing, and maintaining state-of-the art solutions for data ingestion, data modelling and data serving within the Tenable One platform. As a Senior Software Engineer on the Data Integration team, you will have the opportunity to be part of implementing and maintaining a globally distributed and highly scalable cloud-native data platform using modern technologies and programming languages.

Your Opportunity:

• Work cross-functionally with other developers, product owners and various Tenable teams to design, develop and maintain cloud services for Data Platform services.
• Promote clear and simple software design while actively driving the team toward better practices and solutions.
• Support a true DevOps / CICD software delivery model.
• Promote high quality aimed at areas such as security, reliability, testability and
• maintainability.
• Drive innovation by contributing new ideas for our processes, tools, and technologies.
• Coach and mentor mid-level and junior staff.

What You'll Need:

• B.S. degree in Computer Science or a directly related field, or equivalent work experience.
• 5+ years of software development experience in enterprise-level, backend systems.
• Experience developing in languages such as: Java or Kotlin.
• Experience working and supporting cloud-native workloads specifically with Kubernetes, docker and container registries.
• Experience with infrastructure as code e.g. Terraform, CloudFormation.
• Strong experience with AWS services, including S3, DynamoDB, EC2, and Aurora,
• preferably via IAC, SDK and/or API.
• Experience with CI/CD pipelines and tools like Jenkins.
• Proficiency with Git for source code version control.
• Experience designing features end to end, including rollout and monitoring.
• Accountability for the behavior of your software in production.
• Experience in working in an Agile team, and an enthusiasm for working collaboratively within and across product teams.
• The ability to work independently and as a part of a team, and to lead/drive projects as necessary.
• Experience coaching and leading mid-level and junior staff in the design, implementation, and execution of highly technical development projects.
• The desire to continuously learn and be exposed to new technologies.

• Experience with data transfer and streaming technologies such as Kafka, Flink, NiFi, Kinesis, etc.
• Experience with cloud data platforms such as Snowflake, Databricks, Clickhouse, etc.
• Experience with data file formats like Parquet and Avro. Experience with Iceberg would be a plus.
• Understanding of SQL scripting and procedures with relational databases.
• History of open-source contributions.

#LI-AV1

#LI-Hybrid

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

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What we offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About the Role

We are looking for a Senior Engineer to join the Pricing, Costs & Routing (PCR) squad. You will own the automation and data pipelines that power pricing, billing, and financial reporting across Telnyx's product portfolio — voice, messaging, wireless, and more. This is a backend-heavy role working with Airflow DAGs, rate deck management, cost analysis, and pricing APIs at scale.

What You Will Do

• Own and maintain complex Airflow DAGs for pricing automation, margin reporting, and cost analysis
• Build and manage rate deck pipelines across multiple product lines
• Develop and maintain pricing APIs and services in Python (async)
• Analyze CDR/MDR data to identify vendor discrepancies and drive refund/reconciliation workflows
• Build automated discrepancy resolution and self-healing pipelines
• Create and maintain financial reporting: monthly margin reports, negative margin alerts, GP calculations
• Design and build new automation for quoting workflows

What You Bring

• 5+ years of Python experience with strong async programming (aiohttp, asyncpg, FastAPI)
• Airflow production experience — you've built and maintained complex DAGs, not just run them
• SQL fluency across PostgreSQL and analytical databases (Athena, BigQuery, or similar)
• Comfort working with financial and pricing data (margins, markups, cost basis, currency)
• Ability to read and debug Java services when needed
• CI/CD experience with Docker, Jenkins, or GitHub Actions

Nice to Have

• Go experience
• Telecom or CPaaS background (CDRs, termination rates, origination prefixes)
• Salesforce or CRM integration experience
• Experience with pricing engines or billing systems
• AI coding agent experience — the team uses AI-assisted tooling heavily

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

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

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

Overview

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

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

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

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a talented Sales Engineer to join our Commercial sales team. As a Commerical Sales Engineer, you will work closely with our sales team to understand our Commercial customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle.

This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

 AWS, GCP, Azure, Snowflake, BigQuery, Databricks,  Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java 

What You’ll Do

• Work with Commercial customers to understand their business, their use cases, and their data replication requirements
• Develop and deliver technical presentations to Commercial audiences
• Ensure the technical win by running an organized proof-of-value process
• Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole.
• Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence
• Stay up-to-date on the latest technologies and trends in our industry
•  Assist team members in advanced technical or business roadblocks

Skills We’re Looking For

• 4+ years in data replication, sales engineering, or related technical field
• Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience
• Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools
• Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders
• Strong problem-solving and analytical skills
• Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases
• Hands on experience with other data replication or ETL tools
• Experience with self-hosted software applications and supporting infrastructure
• Hands on networking experience both in the cloud and on-premise

Bonus Skills​

• Experience developing partner relationships
• Specialized expertise in security posture 
• Experience with self-hosted and SaaS software applications
• Hands on experience with DBT

#LI-LA1
#LI-HYBRID

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a talented Sales Engineer to join our Commercial sales team. As a Commerical Sales Engineer, you will work closely with our sales team to understand our Commercial customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle.

This is a full-time position based out of London.

Technologies You’ll Use

 AWS, GCP, Azure, Snowflake, BigQuery, Databricks,  Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java 

What You’ll Do

• Work with Commercial customers to understand their business, their use cases, and their data replication requirements
• Develop and deliver technical presentations to Commercial audiences
• Ensure the technical win by running an organized proof-of-value process
• Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole.
• Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence
• Stay up-to-date on the latest technologies and trends in our industry
•  Assist team members in advanced technical or business roadblocks

Skills We’re Looking For

• 4+ years in data replication, sales engineering, or related technical field
• Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience
• Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools
• Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders
• Strong problem-solving and analytical skills
• Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases
• Hands on experience with other data replication or ETL tools
• Experience with self-hosted software applications and supporting infrastructure
• Hands on networking experience both in the cloud and on-premise

Bonus Skills​

• Experience developing partner relationships
• Specialized expertise in security posture 
• Experience with self-hosted and SaaS software applications
• Hands on experience with DBT

#LI-LA1
#LI-Remote

The Impact You'll Drive

As a Senior ML Engineer (Speech Synthesis), you’ll be a founding member of the team building Telnyx’s next-generation speech synthesis systems. This is a greenfield opportunity — you’ll define the stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech (TTS) models that power our voice AI agents.

You’ll build everything from distributed training pipelines to inference services that generate ultra-low-latency, lifelike voices across dozens of languages. Your work will bridge research and production — shaping how millions of people experience real-time conversational AI.

What You’ll Work On

• Own the stack from day one: Design and implement the ML training and inference pipelines for multilingual speech synthesis.
• Low-latency TTS: Engineer systems optimized for real-time, streaming speech generation with sub-100ms response targets.
• Train cutting-edge models: Build and fine-tune multilingual TTS systems using modern architectures — including LLM-based, diffusion, and flow-matching approaches.
• Massive-scale data processing: Develop pipelines for ingesting, aligning, and normalizing text, audio, and phonetic data across dozens of languages.
• Experimentation at scale: Run distributed training across multi-node GPU clusters, tracking results and iterating quickly.
• Cross-functional collaboration: Work with infrastructure and voice platform teams to deploy models that scale globally.
• Research meets production: Evaluate emerging techniques (LLM-guided synthesis, zero/few-shot voice cloning, full-duplex modeling) and bring them to life in production-grade systems.

What You’ll Work With

• Infrastructure: Docker, Kubernetes, Ray, Kubeflow, MLflow, Weights & Biases
• Data Systems: Kafka, Redis, PostgreSQL, Parquet
• You’ll define it: You’ll help select and implement the stack that supports distributed training, data processing, and inference for global deployment.

What We’re Looking For

• 6+ years of experience in machine learning or speech systems engineering
• Hands-on expertise with neural TTS, speech synthesis, or adjacent areas (ASR, voice cloning, multilingual modeling)
• You’ve obsessed over one or two hard problems, whether it’s building multilingual TTS from noisy data, teaching LLMs to speak, designing self-supervised audio encoders, or making diffusion models run in real time.
• Experience with LLM-based approaches to speech synthesis or prosody control
• Strong proficiency in Python and PyTorch
• Ability to deploy models efficiently (ONNX, TensorRT)
• Experience leading small teams and defining technical direction or team executables
• Production mindset: You build systems that run fast, stay stable, and are easy to maintain

Why Telnyx

You’ll be joining a company where voice, infrastructure, and AI converge. Telnyx is building the foundation for real-time, intelligent global communications — and your work on multilingual TTS will be at the core of that vision.



#LI-KG1
#LI-REMOTE

Scopely is looking for a Server Engineer to join a new truly unique multiplayer strategy game in Barcelona, Spain on a hybrid basis. We can support with visa sponsorship.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.    

We are in the early stages of development on an ambitious, unannounced Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey!   

What You Will Do    

• Work in a team responsible for designing, developing and maintaining backend services and APIs in Python running on AWS
• Design and implement new features in our core technologies, working collaboratively with other stakeholder teams to understand requirements and identify the best technical solutions as well as plan the future of our server core technologies that will lay the foundation for exciting new gameplay features
• Inspect the performance of our server clusters and propose improvements
• Deep analysis of player behaviors and how our server can be hardened to both improve player experience and also defend against bad actors (botters, cheaters, etc)
• Work closely with the QA team to resolve bugs and deliver high quality code as well as Deploy, monitor, and manage applications in a cloud environment such as AWS
• Stay up-to-date with industry changes and emerging trends, especially regarding Python, Redis and its ecosystem, AWS, Gaming, etc

What We’re Looking For   

• Highly experienced being part of a professional development team or other relevant area
• Experience in developing highly available back-end systems and servers for large-scale MMO games, high-traffic web systems or applications
• Experienced with Python and its ecosystem (libraries, frameworks, etc.), familiarity with web frameworks such as Flask, Tornado, FastAPI, or another similar web framework and Python threading, as well as the principles of async programming
• Familiar in design and implementation of highly-scalable, reliable, and secure systems using Redis and its ecosystem, such as Redislabs. Solid understanding of RESTful API design and development. Ability to write efficient low-latency, low-IO code
• Strong knowledge of Linux operating systems and Docker containers, as well as Redis, MySQL (or similar database systems). Good understanding of how to prevent intrusions, injections, cheating etc.
• Experience in version control, especially multi-track development and familiarity with deployments methodologies and CI/CD pipelines as well as automated testing
• Experience with stateful and stateless game server architectures

Bonus Points   

• Familiarity with messaging systems such as RabbitMQ, AWS SQS, Redis Streams
• Experience working with AWS services like EC2, ECR, RDS, S3, and IAM
• Knowledge of Infrastructure-as-Code (IaC) and experience with Terraform for managing infrastructure deployment
• Understanding of network infrastructure and cloud networking concepts, such as VPC, Subnet, Security Groups, and Load Balancing
• Experience with traffic analysis via Charles proxy, browser developer tools, Datadog, logs
• Understanding Kibana / Datadog log querying and dashboards

Our backend team is building a highly-available and distributed data pipeline that powers Telnyx products like Voice, Messaging and Wireless. We leverage the Telnyx private backbone network to build a cloud-agnostic data platform that processes thousands of messages per second.

With our lean team, we're currently running and managing more than 30 dockerized microservices deployed in multiple regions in the U.S. and Europe. We are looking for a senior Java backend engineer with deep knowledge of Java Core.

In this role you will

• Work on 30+ microservices implemented in Java 11 and Scala that process, aggregate and expose all data our telecommunication and messaging engines generate
• Improve performance of our pipeline — we currently process 10k messages/sec and are growing
• Architect our services and pipelines so they work with minimum latency in all our locations around the world (U.S., E.U., Australia, South America)
• Implement fraud detection processes with machine learning (Kafka and Kafka Streams)
• Deploy services to multi-cloud Kubernetes environments to achieve 99.999% uptime
• Push code to production multiple times a day

What we're looking for

• Degree in Computer Science, Information Technology, or equivalent work experience
• 4+ years of experience with Java and its ecosystem of tooling
• Experience with at least one of these databases: Cassandra, ClickHouse, or OpenSearch
• Experience with AI tooling, or a strong willingness to learn

Nice to have

• Experience with Scala or another functional programming language
• Experience with Linux, Git, and Docker in a CI environment
• Experience with distributed systems and systems that maintain "five nines" (99.999%) of uptime

LI-KG1
LI-DUBLIN
LI-BRAZIL

Role overview

The International team is seeking a talented and driven Senior Software Development Engineer to join CarGurus' new Dublin office and work on exciting product initiatives for our Canadian and UK markets and play a key role in establishing the office’s culture.  In this role, you’ll be responsible for the full software development lifecycle – across both the frontend and backend – collaborating with Engineering and Product peers to design innovative solutions and tackle complex challenges for our dealer-facing products.

We are looking for candidates who are able to learn and adapt quickly, and collaborate with other engineers to deliver solutions. Some examples of potential project opportunities:

• Building new, full-stack features for dealer products from the ground up
• Integrating with existing services and expanding functionality using React, TypeScript, and Java
• Designing and implementing integrations with third-party APIs and partners
• Modernizing and implementing current systems to leverage cloud technologies like AWS

As an engineer on this team, you will drive projects from conception to completion, working closely with other engineers and product partners to deliver impactful solutions for the international business. No need to be a car expert—we’re more interested in your passion for engineering and your ability to innovate!

What you'll do

• Design, develop, and maintain scalable full-stack features and APIs using Java, React, and TypeScript that support our international dealer products.
• Collaborate closely with product managers, designers, and other engineers across the organization to deliver and iterate on high-quality software solutions for our Canadian and UK markets.
• Contribute to technical design discussions and architectural decisions.
• Own services from ideation through deployment and ongoing maintenance in production environments.
• Ensure systems are secure, maintainable, and highly available, following best practices in performance optimization and code quality.
• Troubleshoot and resolve complex production issues, using observability tools to understand system health and performance.
• Mentor junior engineers, provide high-quality code review guidance, and contribute to establishing the team processes and engineering standards for the new Dublin office.

What you'll bring

• 5+ years of experience in full-stack software development.
• Deep expertise in Java (Spring Boot, Hibernate, or similar frameworks).
• Solid, production-grade experience building dynamic, responsive user interfaces using React and TypeScript.
• Experience designing and building RESTful APIs, microservices, and distributed systems. Experience with GraphQL.
• Strong knowledge of databases (SQL and NoSQL), caching, and data structures.
• Familiarity with cloud platforms such as AWS, GCP, or Azure, and some experience with containerization (Docker, Kubernetes).
• Understanding of CI/CD pipelines, automated testing, monitoring, and production service management.
• Excellent problem-solving, communication, and collaboration skills with the ability to move quickly and thrive in an iterative, fast-paced environment.
• Eagerness to learn and expand your capabilities through leading and owning projects.
• Bonus: Experience with server-side TypeScript (especially Remix, though Next.js or Express are also great additions).

We are seeking an innovative and forward-thinking Staff Software Developer passionate about building a world-class platform through a world-class team. Creating technical software excellence and spearheading application development in design, implementation, and maintenance to make great things happen.

About the Cash Forecasting team:

Cash Forecasting is our AI-amplified treasury solution that helps CFOs and treasury teams move beyond error-prone spreadsheets to achieve real-time cash visibility and predictive accuracy.

The platform integrates seamlessly with major ERPs and banking systems to automatically capture, categorize, and analyze transactional data across multiple currencies and business units. Leveraging our proprietary GSmart AI technology, the solution continuously learns from historical cash flows, sales data, and treasury information to automatically select optimal forecasting algorithms and improve accuracy by over 30%.

You'll work on sophisticated machine learning models, automated variance analysis, real-time data orchestration from diverse financial sources, and intuitive dashboards that allow users to drill down from high-level summaries to individual transaction details. This is a critical platform managing over $100 billion in daily cash flow for enterprise customers across 40+ countries, with the technical challenge of delivering rapid 90-day implementations while maintaining enterprise-grade security and scalability.

What You’ll Do – Be a Force Multiplier:

Technical Leadership & Architecture:

• Drive architectural decisions for the platform, balancing scalability, maintainability, and rapid deployment goals
• Establish technical standards and design patterns that enable the team to ship features faster with fewer defects
• Lead technical design reviews and provide constructive feedback that elevates the team's architectural thinking
• Identify and eliminate technical debt strategically, creating roadmaps that improve both developer velocity and system reliability

Team Enablement & Mentorship:

• Mentor mid-level and senior engineers, helping them grow into technical leadership roles
• Break down complex, ambiguous problems into actionable work that distributes effectively across the team
• Establish coding standards, review practices, and testing strategies that improve overall code quality
• Champion engineering standard processes including observability, incident response, and production excellence
• Share your enthusiasm for tech trends, explore and learn new technologies, engage with tech communities, mentor fellow engineers, and lead in technical design and code evaluations

Multi-functional Impact:

• Partner with Product and Customer Success teams to translate business requirements into scalable technical solutions
• Collaborate across distributed teams (Ireland, U.S., Philippines, Australia) to drive alignment on technical approaches
• Influence product roadmap by identifying technical opportunities that create competitive advantages
• Bridge the gap between technical implementation and business value, helping the team prioritize high-impact work

Increase Agility:

• Identify and eliminate bottlenecks in the development lifecycle that slow down the entire team
• Improve CI/CD pipelines, testing infrastructure, and deployment processes to increase velocity
• Drive adoption of modern engineering practices that improve developer experience and productivity
• Lead post-mortems and blameless retrospectives that turn incidents into learning opportunities

Strategic Technical Vision:

• Anticipate future scalability challenges before they become blockers (e.g., handling 10x growth in transaction volume)
• Evaluate emerging technologies and recommend when/how to adopt them (e.g., new ML frameworks, database technologies)
• Design systems that support the 90-day implementation promise while maintaining enterprise-grade quality
• Balance technical excellence with pragmatic delivery, knowing when "good enough now" beats "perfect later"

Ownership & Accountability:

• Own critical systems end-to-end, from design through production support
• Take responsibility for production reliability and proactively prevent incidents
• Step into ambiguous situations and drive them to resolution without needing explicit direction
• Lead by example in code quality, documentation, and operational excellence
• Make tough technical trade-off decisions and clearly communicate the reasoning

What You’ll Work On:

Integration & Data Connectivity:

• Build and maintain API integrations with major ERPs (SAP, Oracle, Workday) and banking systems to automatically pull transactional data

AI/ML Features:

• Develop and optimize machine learning models for the GSmart AI engine that predicts cash flows and automatically selects optimal forecasting algorithms
• Build automated variance analysis systems that compare actuals vs. forecasts and generate actionable insights
• Create pattern recognition algorithms to identify anomalies, seasonal trends, and customer payment behaviors

Platform Development:

• Design and implement flexible worksheet engines that allow users to customize cash flow models, categories, and reporting calendars

Performance & Scalability:

• Optimize data processing for handling billions of dollars in daily transactions
• Build caching and aggregation strategies for real-time dashboard performance
• Design distributed systems architecture to support a 90-day rapid implementation model

Reporting & Analytics:

• Create interactive dashboards and visualization components for cash position insights
• Build automated notification systems for covenant compliance monitoring and unusual variance alerts

Essential Knowledge / Experience:

Years & Scope:

• 8+ years of professional software engineering experience
• 3+ years working on complex, business-critical systems in production
• Experience working on products with significant scale
• Strong communication skills with experience working in multi-functional projects
• Track record of delivering projects that span multiple quarters and require coordination across teams

System Ownership:

• Owned and evolved significant portions of a production system end-to-end
• Been on-call for production systems and handled critical incidents
• Led technical designs that were implemented by teams of 3+ engineers
• Made architectural decisions that had lasting impact on system capabilities

Technical Leadership:

• Mentored 2+ engineers to help them level up technically
• Established technical patterns that were adopted across the team
• Led technical spikes to evaluate new technologies or approaches

Cloud & Infrastructure:

• Proficiency with at least one major cloud platform (AWS, Azure, GCP)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Understanding of infrastructure as code and CI/CD pipeline design
• Knowledge of observability: logging, metrics, tracing, and alerting strategies
• Experience with microservices deployment patterns and service mesh concepts

Enterprise Software Patterns:

• Deep understanding of distributed systems patterns, even driven architectures, and message queues
• Multi-tenancy architecture and data isolation strategies
• Role-based access control (RBAC) and authorization patterns
• Audit logging and compliance requirements for financial systems
• API versioning and backward compatibility strategies
• Feature flagging and progressive rollout techniques

Core Technologies:

• Deep expertise with Ruby on Rails
• Expert in RDBMS (ideally PostGres), including query optimization, indexing strategies, and data modeling
• Deep experience in building large scale multi-tenant applications
• Experience building and maintaining RESTful APIs and understanding when to use alternative patterns (GraphQL, gRPC, webhooks)
• Deep knowledge in building applications using React, TypeScript, JavaScript, and related technologies

Preferred Knowledge / Experience:

• Understanding of financial concepts: cash positioning, forecasting, liquidity management
• Knowledge of banking systems, payment rails, and financial data formats (MT940, BAI2, SWIFT)
• Understanding of multi-currency handling, exchange rates, and date/time complexities across time zones
• Awareness of financial compliance and regulatory requirements (SOC 2, data privacy)
• Experience integrating with third-party financial systems (banks, ERPs, payment processors)

RxSense in Dublin

RxSense is establishing a new development centre in Dublin as part of our global growth strategy, bringing together the city’s world-class engineering talent with our mission to transform healthcare technology. Dublin’s thriving tech ecosystem and strong community of innovators make it the ideal hub to accelerate product development and drive cutting-edge solutions. By joining our new centre, you’ll collaborate with international teams, and grow your career in an environment that values creativity, ownership, and continuous learning.

Role Overview

We are seeking a Senior/Principal Software Engineer to contribute to the development and enhancement of our healthcare technology platform. You’ll work closely with senior engineers, product managers, and architects to deliver high-quality, scalable software solutions. This role offers the opportunity to make a real impact on mission-critical systems while developing your skills in distributed systems and modern cloud technologies.

Main Responsibilities

• Contribute to the design, development, and maintenance of scalable backend services using Java or C# / .NET.
• Collaborate with cross-functional teams to define technical requirements and deliver high-quality features.
• Implement best practices in coding, testing, and performance optimization.
• Participate in code reviews, knowledge sharing, and design discussions.
• Support integration with distributed caching / in-memory data platforms (e.g.Hazelcast, Redis, Ignite).
• Write and maintain automated tests to ensure reliability and confidence in releases.
• Work with cloud infrastructure (AWS), CI/CD pipelines, and containerized environments (Docker/Kubernetes).
• Troubleshoot, debug, and resolve issues in production and non-production environments.

Knowledge, Skills, and Experience

• Minimum 8 years of professional software engineering experience.
• Strong programming skills in Java or .NET (enterprise or backend development).
• Understanding of distributed systems, data structures, and algorithms.
• Experience with relational or NoSQL databases, plus exposure to caching/data grid technologies a bonus.
• Familiarity with cloud platforms (AWS preferred) and containerized environments (Docker, Kubernetes).
• Comfortable working in Agile environments, collaborating with international teams.
• Knowledge of Python is a plus, but not required.
• Interest in healthcare or other regulated industries a bonus.

LearnUpon is looking for a Staff Site Reliability Engineer to join our team in Ireland. This is a flex role, working 1 day per week from LearnUpon's Dublin office. 

LearnUpon LMS helps organizations train their employees, customers, and members. Businesses can manage, track, and achieve their unique learning goals — all through a single, powerful solution.

With offices in Dublin (our HQ), Philadelphia, Belgrade, and Sydney, we are a team that puts our customers' experience at the heart of everything we do. We're always striving for the best solution (not the easy one), and we go the extra mile to deliver work we're proud of.

Our offices are open, collaborative environments where our team and individual accomplishments are celebrated and encouraged. Join LearnUpon, where we work together as a friendly, supportive team who, most importantly, like to have fun.

As a Staff Engineer in Site Reliability Engineering you will be part of the team responsible for the scale-out of the LearnUpon infrastructure. 

What will I be doing?

• Identifying opportunities to improve and scale our infrastructure for performance, observability, maintainability, and cost, by creating innovative solutions.
• Leading our efforts to build an observability function that incorporates application metrics, application transaction tracking, and event log management.
• Driving the processes to maintain resilient, scalable and cost-effective infrastructure.
• Working with other Engineering teams to provide infrastructure solutions that meet their ongoing requirements.
• Building tools focused on measuring, monitoring and alerting, with an eye towards self-service in order to  promote Engineers’ ownership of observability.
• Reacting quickly to changing customer and business needs.
• Participate in on-call rota.
• Mentoring junior talent.

What skills do I need?                                                                                  

• 7+ years of experience in a software or Ops role.
• 5+ years of cloud engineering experience, with at least 2 years experience with AWS.
• Experience deploying Microservice environments, using containerisation technologies such as Kubernetes and Docker.
• Experience in designing and implementing Observability tech stacks.
• Have championed the benefits of Observability to Engineering teams.
• Can architect the design of SLO/SLI implementation that balances the needs of different teams.
• Familiar with cost analysis of Observability metrics gathering, Engineering effort, and tooling.
• Experience building and supporting large-scale distributed systems that back a consumer app or website with associated requirements of performance, security and disaster recovery.
• Experience with implementing IaaC (e.g. CloudFormation, Terraform etc.), automation tooling (e.g. Puppet, Ansible etc.), CI/CD (e.g. Jenkins, Travis CI, GitLab etc.)
• Able to effectively communicate technical ideas to and collaborate with both technical and non-technical peers.
• Experience with database scaling would be a strong plus.

Don’t worry if you don’t tick every box in order to apply, we’re always happy to review applications and take all experience into consideration. We do our best to provide feedback where we can!

Not required but considered a big plus

• Certification in AWS, any PaaS, and/or related technologies.

Why work with us?

• Competitive salary and company ESOP
• 25 days’ annual leave, plus 10 public holidays and 1 annual wellness day
• Private health insurance and company pension
• Parental benefits, including up to 26 weeks paid maternity leave, 4 weeks paid paternity leave, and coaching support for new parents (location-specific details apply)
• Up to 4 weeks per year working abroad (role eligibility applies)
• Clear career progression opportunities — take LearnUpon where you think it can go
• A collaborative and supportive environment with regular team events

What is the Hiring Process?

Applicants for the position can expect the following hiring process:

• Qualified applicants will be invited to schedule a 30-minute call.
• Successful candidates will then be invited to a series of practical interviews.
• Finally, candidates will have a short interview with our CEO/CTO.
• Successful candidates will be contacted with an offer to join our team.

LearnUpon is an Equal Opportunities Employer. 

We do not discriminate on the basis of gender, marital status, family status, age disability, sexual orientation, race, religion, membership of the Traveller community, or any other legally protected status.

By applying for this job, you agree to LearnUpon's Privacy Policy. Find out more about our privacy policy here

Visit our Careers site to find out more about working for LearnUpon, and check us out on Instagram.

The Role

We’re looking for a Mobile Core Network Engineer to join the team responsible for Telnyx’s global mobile core network. You’ll own the infrastructure that powers our wireless platform — keeping it reliable, scalable, and ready for what comes next. This is a hands-on role spanning network operations, deployment automation, and incident response.

What You’ll Do

Network Operations & Infrastructure

• Deliver and maintain core network services across global datacenters — ensuring high availability of PGWs, DRAs, GTP proxies, HSS, and STPs

• Design redundancy patterns (failover, active-active, disaster recovery) and drive service localisation in new regions

• Manage the GTP proxy fleet and DRA infrastructure: routing rules, IMSI translation, realm routing, and peer management

• Monitor traffic growth, forecast demand, and scale infrastructure ahead of need

Automation & Deployment

• Build and maintain Ansible playbooks and CI/CD pipelines for consistent, repeatable infrastructure changes

• Operate and evolve the signalling plane — Diameter, GTP-C/U, SS7 MAP — across roaming partner interconnects

• Design and maintain network connectivity: GRX/IPX peering, inter-datacenter tunnels, SCTP multihoming, and firewall rules

Observability & On-Call

• Build dashboards and alerting to catch issues before they become incidents

• Participate in on-call rotation for wireless infrastructure incidents

What We’re Looking For

• Solid understanding of 3GPP EPC architecture: PGW, SGW, HSS, DRA, PCRF, STP, and their interfaces (S6a, S8, S5, Gx, S1-MME)

• Experience operating and troubleshooting mobile core network elements in production

• Strong networking fundamentals: IP routing, BGP/OSPF, VLANs, GRE/IPsec, SCTP, and packet-level troubleshooting (tcpdump/tshark)

• Strong Linux skills: systemd, network configuration, performance tuning, and scripting

• Hands-on experience with infrastructure automation — Ansible, Terraform, or equivalent

• Familiarity with containerised environments (Docker, Kubernetes) and CI/CD pipelines

• Experience with monitoring stacks: Prometheus, Grafana, Alertmanager

• Experience with AWS or similar cloud infrastructure

Nice to Have

• Experience with Diameter Routing Agents (freeDiameter or commercial DRAs) or GTP proxy platforms

• Knowledge of multi-IMSI SIM architectures, VoLTE/IMS, or roaming models (S8HR, LBO)

• Familiarity with IPX/GRX peering, GSMA roaming standards (IR.34), or network automation tooling (Netbox, NAPALM)

• Experience with Elixir, Go, or Python in a network infrastructure context

#LI-KG1
#LI-DUBLIN

COMPANY OVERVIEW

ThreatLocker® is a global cybersecurity leader, providing enterprise-level cybersecurity tools for the Managed Services Provider (MSP) industry to improve the security of servers and endpoints. ThreatLocker’s combined Application Whitelisting, Ringfencing™, Storage Control and Privileged Access Management solutions are leading the cybersecurity market towards a more secure approach of blocking unknown application vulnerabilities.

POSITION OVERVIEW

Windows Kernel Developers develop and maintain a selected subset of the core kernel infrastructures, both in the SUSE enterprise products and upstream.

JOB SCOPE

The Kernel Developer will be responsible for, but not limited to:

• Developing, debugging and testing kernel level code using the C language
• Exercising/validation of system from user space, knowledge of user space API
• Supports the design, development, and maintenance of major system components
• Manages device driver development and support (one or more of USB, network, graphics, video, mtd, storage, power management)
• Design and maintenance of CI/CD
• Ported/maintain Linux distribution for a platform

REQUIRED QUALIFICATIONS

• Minimum of 7 years of professional experience in software development
• Proficient in Windows, Linux and/or Mac operating system
• Proficient in C programming
• Experienced in the following:
• Computer architecture and server platform hardware
• System software development in C and Python
• Internals of Linux, Mac and/or Windows operating systems

PREFERRED QUALIFICATIONS

• Working knowledge of VMM technologies like VMware/Xen/KVM/Hyper-V Experience.
• Experience with memory management and Kernel programming.
• Knowledge about SR-IOV, SIOV, DMA and PCIe.
• Experience with virtualization and containerization (Python virtual environments and Docker)
• Atlassian Suite (Jira, Confluence, Crucible)
• Subversion exposure Familiarity with ARM architecture a plus
• Solid knowledge of Linux kernel internals (process scheduler, memory management, concurrency/synchronization, memory allocation, file systems) and networking or storage subsystems architecture

WORKING CONDITIONS

The duties described below are representative of those encountered while performing the essential functions of this position. If necessary, reasonable accommodation may be requested and will be evaluated for its relationship to the essential functions that must be performed.

• Job will generally be performed in an office environment but may require travel to visit company offices and/or property locations.
• While performing duties of this job, would occasionally require to stand, walk, sit, reach with hands and arms, climb or balance, stoop or kneel, talk and hear, and use fingers and hands to feel objects and tools.
• Must occasionally lift and/or move up to 25 pounds.
• Specific vision abilities required include close vision, distance vision, depth perceptions, and the ability to adjust focus.

A background check and drug/substance screening are required after a conditional offer. Employment will proceed only upon receiving clear results from both.

ThreatLocker also conducts randomized drug and substance testing approximately every 60 days, in line with the same screening standards.