AI Engineer Jobs in Lisbon.
All active AI Engineer roles based in Lisbon.
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This hybrid role is based in Dublin, Ireland (Full relocation provided).
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
What is our Mission
Toast has established itself as the leading hospitality platform in the US, and we are now setting our sights on the global stage. As part of the International team, in our missions to expand globally, we are building the core systems to launch Toast into new markets. You will join a high-impact, high-ownership engineering team solving complex technical challenges in a fast-paced environment. We are looking for leadership that balances technical excellence with a strong product mindset to drive continuous growth for both the team and our platform.
A day in the life (Responsibilities)
- Lead complex projects within a cross-functional collaborative and supportive environment.
- Orchestrate our backend services to support internationalization working across software both in the restaurant and the cloud
- Design, build, deploy and maintain highly resilient and scalable systems critical to our customers’ success.
- Iterate on our technical approach to data management in support our international strategy
- Mentor and provide technical guidance to team members, leading technical discussions and promoting best engineering practices.
- Work directly with pilot customers (sometimes in the restaurant!) to ensure successful delivery and operation
- Advocate for best coding practices, raising the bar for yourself, your team, and the company.
- Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.
What you'll need to thrive (Requirements)
- 8+ years of experience in delivering high quality, reliable services to production using Java, Kotlin or other object oriented language(s)
- Proven track record of architecting, supporting and debugging large distributed & multi threaded applications.
- Drive to work across our tech stack and support other engineers in resolving challenging problems
- Passionate about making users happy and seeing people use your product in the wild.
- Ability to embrace an agile mindset focused on delivering usable software.
- Experience with fiscalisation, internationalization is a plus
Our Tech Stack
- A core of Java & Kotlin based backend services.
- React SPAs leveraging Tailwind, GraphQL and Storybook.
- Android app built in Java & Kotlin running in the restaurant.
- PostgresQL and Dynamodb as core persistence.
- Pulsar, Camel and RabbitMQ for message-based integrations.
- And many more technologies that help us build a top class platform.
**This is a hybrid role requiring in-office collaboration two days per week in our Dublin office.**
#LI-HYBRID
#BI-Hybrid
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Ready to apply?
Apply to Toast
Software Engineer
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SingleStore engineers build the real-time data platform powering some of the world’s most demanding applications. Our cloud-native architecture enables high-performance transactional and analytical workloads at scale, and our teams ship production code continuously throughout the year.
We operate in a fast-moving, highly collaborative environment where engineers own their work end-to-end and partner closely across Product, Sales, and Go-To-Market teams to deliver meaningful business impact.
Position Summary
We are seeking a Senior/Principal Software Engineer to join the Engineering team and play a critical role in designing and delivering core AI capabilities for SingleStore’s. This is a senior technical frontend engineer role with end-to-end ownership of large, release-defining projects at the intersection of distributed systems, cloud infrastructure, database and AI technology.
As a Senior Software Engineer, you will set technical direction, solve complex system-level problems, and act as a force multiplier across the organization. You will work closely with Product and customer-facing teams to ensure our Aura AI platform meets the needs of both long-standing enterprise customers and new adopters.
This role is ideal for an engineer who thrives on deep technical challenges, takes pride in building durable systems, and enjoys mentoring others while remaining hands-on.
Note: This role is open across multiple levels. Final leveling (Senior, Staff, or Principal) will be determined based on experience, scope of impact, and demonstrated technical leadership throughout the interview process.
What you'll do
- Lead technical design and decision-making for large, release-defining projects impacting SingleStore’s cloud platform.
- Design and implement new capabilities across networking, control plane, and managed service infrastructure, with main focus on our billing systems
- Solve complex, mission-critical system problems with solutions that are scalable, maintainable, and resilient.
- Collaborate closely with Product Management to translate customer and business requirements into robust technical solutions.
- Investigate and resolve difficult issues in production and development environments while balancing multiple responsibilities.
- Mentor and guide engineers on system design, coding standards, and architectural best practices, raising the technical bar across the team.
- Position expects candidate to work across the stack (but stay frontend focused, eg 70 frontend /30 backedn split)
Your Experience
- 5+ years of experience developing and debugging system-level software in Golang or similar languageDeep understanding of application architecture in the browser, and experience pushing the environment to its limits
- Strong sense of UX (operate w/ minimal direction from design / PM). product-focused; empathy for user. craftmanship-minded
- Experience as a primary contributor of a React-based, single-page-application
- Experience working with tools such as Javascript or Typescript to provide type-safety during the development process
- Familiarity with distributed systems managed via Kubernetes.
- Demonstrated ability to design and build highly reliable, high-performance system software.
- Experience working in environments where performance, scalability, and reliability are critical.
- Bachelor’s degree in Computer Science or equivalent practical experience.
Preferred Qualifications
- Experience building cloud-native SaaS platforms.
- Experience working with frontend web frameworks like React.
- Background with cloud based metering and billing and generally accepted account practices.
SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.
Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
Ready to apply?
Apply to SingleStore
Senior QA Engineer
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
The Veeam Quality Assurance team invites you to work on Veeam products with Veeam QA professionals in the Lisbon R&D office.
What You'll Do
- Testing of one or several Veeam products
- Participating in products’ creation and development at all stages of their life cycle
- Analysing software requirements
- Participating in planning and creating the product test strategy
- Communicating with other participants of the product development process
- Training and development of new team members
- Evaluating test results, maintaining defects database
- Participating in customer technical support processes
What You'll Bring
- Technical education or passion for technology
- 3+ years of software testing experience
- Deep understanding of software development principles and the QA role in this process
- Experience developing test strategies and plans, analysing test progress, and optimising the software testing processes
- Advanced knowledge of Windows, Linux or Unix operating systems
- Experience in network technologies and systems (DNS, DHCP, basic network settings, etc.)
- Open and flexible mind, common sense, clear logic, analytical skills
- Desire and ability to work in a team
- English proficiency for daily communication within international teams
Bonus Skills
- Experience working with databases like Microsoft SQL Server or Oracle Database
- Experience working with virtualization platforms like VMware vSphere and Microsoft Hyper-V
- Experience in test automation
- Experience managing and developing a QA team
What You'll Get
- 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private medical, dental, and optical insurance for employees and dependents
- Life and disability insurance worth 2x gross annual salary
- Monthly meal allowance of €10.46 per working day
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
Please note: If the applicant is permanently present outside of Portugal, Veeam reserves the right to refuse to consider the application for a job. Remote work is only possible in case the employee is located in Portugal.
#LI-KJ1
#Hybrid
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
QA Engineer
Share this job
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
Join the Veeam Quality Assurance team and work on Veeam products with experienced QA professionals in the Lisbon R&D office. QA has the power to breathe life into our products. Testers are always at the center of the action: developing an idea, thinking through functionality, and conducting a thousand complex experiments — and this is not the limit. Our QA work is deeply hands‑on, focused on functional checks, exploratory approaches, and verifying real usage scenarios to ensure that “Veeam just works.”
What You’ll Do
- “Deep diving” into our products, technology and profession
- Analyzing software requirements
- Manually testing one or several Veeam products
- Communicating with other participants of the product development process
- Evaluating test results, maintaining defects database
What You’ll Bring
- Technical education background or a strong passion for technology
- 1–2 years of experience in system administration, software testing, or software development
- Strong motivation to grow professionally in the software testing field
- Advanced knowledge of Windows or Linux operating systems
- Good understanding of networking technologies and systems (DNS, DHCP, basic network configuration, etc.)
- Curiosity and attention to detail, with a natural ability to identify flaws — key qualities for hands-on testing
- Open-mindedness, strong common sense, and clear logical thinking
- Fast learner with enthusiasm for interesting and challenging tasks (passion is valued as much as experience)
- English proficiency sufficient for daily communication within international teams
What You’ll Get
- 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private medical, dental, and optical insurance for employees and dependents
- Life and disability insurance worth 2x gross annual salary
- Monthly meal card with €10.46 per working day
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
Please note: If the applicant is permanently present outside of Portugal, Veeam reserves the right to refuse to consider the application for a job. Remote job is only possible in case the employee is located in Portugal.
#LI-KJ1
#Hybrid
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Engineering Manager | ComparaJá.pt – Lisbon (Hybrid)
Job Summary
We are looking for a highly skilled and experienced Engineering Manager to guide our development team in delivering high-quality software. You will own the delivery process end-to-end, ensuring that our products are built to modern development standards while fostering a culture of excellence and velocity. The ideal candidate will have a strong background in software development, experience in coaching and mentoring teams, and a passion for optimising processes to drive efficiency.
This is an office role based in Alvalade, Lisbon with flexibility to work remotely.
Key Responsibilities
- Own the delivery of high-quality software: Lead the technical direction of projects, ensuring that software is delivered on time, meets business requirements, and adheres to the highest standards of performance, security, and scalability.
- Optimise development processes: Continuously review and improve the development lifecycle to increase efficiency, reduce bottlenecks, and enhance productivity.
- Coach and mentor developers: Provide hands-on technical guidance, mentorship, and support to the development team. Foster professional growth and engineering excellence through regular feedback, training, and knowledge sharing.
- Ensure modern development standards: Promote and implement best practices, including CI/CD pipelines, automated testing, code reviews, and clean coding principles.
- Collaborate with cross-functional teams: Work closely with product managers, designers, and other stakeholders to align technical decisions with business goals and ensure a shared vision across the product lifecycle.
- Technical leadership: Make critical decisions around architecture, tools, and frameworks, ensuring long-term scalability and maintainability of the codebase.
- Stay updated with industry trends: Continuously explore new technologies, frameworks, and methodologies to ensure the team is up-to-date with the latest advancements in software development. Especially concerning the ability to rapidly prototype ideas using AI.
About You
- Proven experience as an Engineering Manager, Tech Lead, Senior Software Engineer, or similar role.
- Strong interpersonal skills and ability to effectively communicate with teams across the organisation.
- You have an analytical mindset to develop the best-fit technical solution.
- You have excellent leadership and decision-making skills, and knowledge of project management principles.
- You have an understanding of IT infrastructure, architecture, as well as a good understanding of non-technical parts of the business.
- You are comfortable working in an international environment.
Skills Required:
- Experienced working through the design, development, release cycle, and delivering software products to market, with a track record of successful delivery of software applications as an individual and tech leader
- Experience with managing the development of SaaS and cloud-based applications
- Our stack is: C#, Python, Nuxt/VueJS, PostgreSQL, all on AWS. The more experience in each the better, but all definitely not necessary.
- Fluency in Portuguese and English is required.
Why Join Us:
- Own the technology team. This is a great opportunity to truly own a delivery team and be responsible for a development organisation. You will be taking part in an international organisation and be able to learn from your peers in other countries and the Group CTO
- Competitive salary and benefits
Start date: as soon as possible
About Us
ComparaJá.pt is a leading platform for aggregating and comparing financial products and services in Portugal. Founded in 2015 as part of Samlino Group (samlinogroup.com) we are operating across three European markets, our group empowered over 10 million users last year alone.
At ComparaJá.pt, our mission is to help Portuguese consumers make informed, confident decisions across all areas of personal finance—whether banking, insurance, or utilities—by providing easy access to unbiased, accurate information and free comparisons. Our vision is to become the go-to personal finance platform for consumers, partners, media, and other stakeholders, helping people identify and choose the best solutions for their needs—saving time and money in a simple and transparent way.
What We Offer
- ❤️ Health insurance
- 🍽️ Meal card
- 🚉 Transport subsidy
- 🚀 Opportunity to work on meaningful projects that power internal operations
- 🤝 A supportive, fast-moving, and collaborative team environment
#LI-Hybrid
Ready to apply?
Apply to ComparaJá
Team Lead | Engineering - ComparaJá.pt – Lisbon (Hybrid)
Job Summary
We are looking for a highly skilled and experienced Team Lead to guide our development team in delivering high-quality software. You will own the delivery process end-to-end, ensuring that our products are built to modern development standards while fostering a culture of excellence and velocity. The ideal candidate will have a strong background in software development, experience in coaching and mentoring teams, and a passion for optimising processes to drive efficiency.
This is an office role based in Alvalade, Lisbon with flexibility to work remotely.
Key Responsibilities
- Own the delivery of high-quality software: Lead the technical direction of projects, ensuring that software is delivered on time, meets business requirements, and adheres to the highest standards of performance, security, and scalability.
- Optimise development processes: Continuously review and improve the development lifecycle to increase efficiency, reduce bottlenecks, and enhance productivity.
- Coach and mentor developers: Provide hands-on technical guidance, mentorship, and support to the development team. Foster professional growth and engineering excellence through regular feedback, training, and knowledge sharing.
- Ensure modern development standards: Promote and implement best practices, including CI/CD pipelines, automated testing, code reviews, and clean coding principles.
- Collaborate with cross-functional teams: Work closely with product managers, designers, and other stakeholders to align technical decisions with business goals and ensure a shared vision across the product lifecycle.
- Technical leadership: Make critical decisions around architecture, tools, and frameworks, ensuring long-term scalability and maintainability of the codebase.
- Stay updated with industry trends: Continuously explore new technologies, frameworks, and methodologies to ensure the team is up-to-date with the latest advancements in software development. Especially concerning the ability to rapidly prototype ideas using AI.
About You
- Proven experience as an Engineering Manager, Tech Lead, Senior Software Engineer, or similar role.
- Strong interpersonal skills and ability to effectively communicate with teams across the organisation.
- You have an analytical mindset to develop the best-fit technical solution.
- You have excellent leadership and decision-making skills, and knowledge of project management principles.
- You have an understanding of IT infrastructure, architecture, as well as a good understanding of non-technical parts of the business.
- You are comfortable working in an international environment.
Skills Required:
- Experienced working through the design, development, release cycle, and delivering software products to market, with a track record of successful delivery of software applications as an individual and tech leader
- Experience with managing the development of SaaS and cloud-based applications
- Our stack is: C#, Python, Nuxt/VueJS, PostgreSQL, all on AWS. The more experience in each the better, but all definitely not necessary.
- Fluency in Portuguese and English is required.
Why Join Us:
- Own the technology team. This is a great opportunity to truly own a delivery team and be responsible for a development organisation. You will be taking part in an international organisation and be able to learn from your peers in other countries and the Group CTO
- Competitive salary and benefits
Start date: as soon as possible
About Us
ComparaJá.pt is a leading platform for aggregating and comparing financial products and services in Portugal. Founded in 2015 as part of Samlino Group (samlinogroup.com) we are operating across three European markets, our group empowered over 10 million users last year alone.
At ComparaJá.pt, our mission is to help Portuguese consumers make informed, confident decisions across all areas of personal finance—whether banking, insurance, or utilities—by providing easy access to unbiased, accurate information and free comparisons. Our vision is to become the go-to personal finance platform for consumers, partners, media, and other stakeholders, helping people identify and choose the best solutions for their needs—saving time and money in a simple and transparent way.
What We Offer
- ❤️ Health insurance
- 🍽️ Meal card
- 🚉 Transport subsidy
- 🚀 Opportunity to work on meaningful projects that power internal operations
- 🤝 A supportive, fast-moving, and collaborative team environment
#LI-Hybrid
Ready to apply?
Apply to ComparaJá
Tech Lead | ComparaJá.pt – Lisbon (Hybrid)
Job Summary
We are looking for a highly skilled and experienced Tech Lead to guide our development team in delivering high-quality software. You will own the delivery process end-to-end, ensuring that our products are built to modern development standards while fostering a culture of excellence and velocity. The ideal candidate will have a strong background in software development, experience in coaching and mentoring teams, and a passion for optimising processes to drive efficiency.
This is an office role based in Alvalade, Lisbon with flexibility to work remotely.
Key Responsibilities
- Own the delivery of high-quality software: Lead the technical direction of projects, ensuring that software is delivered on time, meets business requirements, and adheres to the highest standards of performance, security, and scalability.
- Optimise development processes: Continuously review and improve the development lifecycle to increase efficiency, reduce bottlenecks, and enhance productivity.
- Coach and mentor developers: Provide hands-on technical guidance, mentorship, and support to the development team. Foster professional growth and engineering excellence through regular feedback, training, and knowledge sharing.
- Ensure modern development standards: Promote and implement best practices, including CI/CD pipelines, automated testing, code reviews, and clean coding principles.
- Collaborate with cross-functional teams: Work closely with product managers, designers, and other stakeholders to align technical decisions with business goals and ensure a shared vision across the product lifecycle.
- Technical leadership: Make critical decisions around architecture, tools, and frameworks, ensuring long-term scalability and maintainability of the codebase.
- Stay updated with industry trends: Continuously explore new technologies, frameworks, and methodologies to ensure the team is up-to-date with the latest advancements in software development. Especially concerning the ability to rapidly prototype ideas using AI.
About You
- Proven experience as an Engineering Manager, Tech Lead, Senior Software Engineer, or similar role.
- Strong interpersonal skills and ability to effectively communicate with teams across the organisation.
- You have an analytical mindset to develop the best-fit technical solution.
- You have excellent leadership and decision-making skills, and knowledge of project management principles.
- You have an understanding of IT infrastructure, architecture, as well as a good understanding of non-technical parts of the business.
- You are comfortable working in an international environment.
Skills Required:
- Experienced working through the design, development, release cycle, and delivering software products to market, with a track record of successful delivery of software applications as an individual and tech leader
- Experience with managing the development of SaaS and cloud-based applications
- Our stack is: C#, Python, Nuxt/VueJS, PostgreSQL, all on AWS. The more experience in each the better, but all definitely not necessary.
- Fluency in Portuguese and English is required.
Why Join Us:
- Own the technology team. This is a great opportunity to truly own a delivery team and be responsible for a development organisation. You will be taking part in an international organisation and be able to learn from your peers in other countries and the Group CTO
- Competitive salary and benefits
Start date: as soon as possible
About Us
ComparaJá.pt is a leading platform for aggregating and comparing financial products and services in Portugal. Founded in 2015 as part of Samlino Group (samlinogroup.com) we are operating across three European markets, our group empowered over 10 million users last year alone.
At ComparaJá.pt, our mission is to help Portuguese consumers make informed, confident decisions across all areas of personal finance—whether banking, insurance, or utilities—by providing easy access to unbiased, accurate information and free comparisons. Our vision is to become the go-to personal finance platform for consumers, partners, media, and other stakeholders, helping people identify and choose the best solutions for their needs—saving time and money in a simple and transparent way.
What We Offer
- ❤️ Health insurance
- 🍽️ Meal card
- 🚉 Transport subsidy
- 🚀 Opportunity to work on meaningful projects that power internal operations
- 🤝 A supportive, fast-moving, and collaborative team environment
#LI-Hybrid
Ready to apply?
Apply to ComparaJá
The mission of OrgStore is to provide an easy-to-use, fully-managed platform to store and search data. With Postgres as our cornerstone technology, we focus on transactional (OLTP) data use-cases while providing a custom data plane and a flexible administrative layer. Our users are the thousands of engineers representing hundreds of teams producing products at Datadog. As a platform infrastructure team, our goal is to accelerate product teams by helping them rapidly stand up new features and make step change improvements to their application's performance. Data storage is ubiquitous and the service we are providing is critical for Datadog as the business scales and expands its product offerings.
As the Engineering Manager for the OrgStore Blueprint Team, you will lead a high-performing team of software engineers, guiding them in building and maintaining these mission-critical systems. Collaboration is key in this role, needing to work closely with other engineering, product, and support teams across Datadog. Your strategic vision will not only guide your team's day-to-day operations but also influence the long-term roadmap of support within Datadog.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
- Guide and mentor a diverse team of 4-8 software engineers, fostering their career growth while ensuring high team performance.
- Drive the technical roadmap in collaboration with your team, product managers, and support teams ensuring it aligns with company objectives and directly contributes to improving customer satisfaction.
- Engage strategically with complex technical problems and work with your team to produce well-defined and actionable plans.
- Be a core contributor and reviewer of code, lead design decisions, and participate in our well-scoped on-call rotation.
- Understand the broader business context to align technical decisions with business goals, supporting long-term objectives and driving innovation.
- Contribute to engineering-wide initiatives as a member of Datadog’s engineering management team.
Who You Are:
- A seasoned software engineer with experience building developer tools, running databases, and maintaining infrastructure with a focus on reliability and fault tolerance
- A proven leader with the ability to manage team dynamics, set goals, provide feedback, and foster a positive and productive work environment
- A capable project manager who can plan, organize, and oversee multiple software engineering projects
- An excellent communicator who is comfortable interacting with team members, stakeholders, and upper management alike
- Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
- Bonus points: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products
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:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Location: UK, Portugal, Remote
Department: Engineering
Employment Type: Permanent
About YLD:
Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay.
We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.
About the role:
As a Senior Software Engineer at YLD, you’ll be part of a client team building innovative products. We’re looking for someone curious, passionate, driven, and enthusiastic. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You’re also an effective communicator and a strong team player. Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.
Preferred Skills:
- Strong backend engineering experience, with Go as a primary or preferred language;
- Comfortable working in cloud environments such as AWS, Azure, or Google Cloud;
- Experience building and maintaining APIs and backend services, including SaaS platforms;
- Familiarity with modern infrastructure and distributed systems;
- Solid understanding of modern deployment practices, including Docker, containers, and Kubernetes;
- Strong background in testing strategies, including TDD, across the full system lifecycle, with a focus on performance optimization;
- Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact as an engineer.
You should apply if you are:
- Self-motivated, proactive and always looking for ways to improve and develop yourself;
- A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language;
- Detail-oriented;
- Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;
- Used to working in a team-oriented, collaborative environment;
- Analytical and problem-solving-oriented;
- A genuine believer in diversity and fairness.
Benefits you’ll receive:
- Company Private Health care
- Enhanced fully paid maternity and paternity leave for up to 6 months
- Enhanced pension scheme (only for UK)
- 25 days annual holiday (excluding Public Holidays)
- £/€2000 annual learning and development budget for training courses and conferences
- £/€300 annual allowance for additional hardware
- Wellbeing & Performance Support via Oli including Therapy and Coaching
- Discretionary Bonus (depending on Company performance and results)
- Generous referral schemes
Our typical recruitment process:
- 1st Interview with a Talent Partner (30/45 mins)
- Technical Interview with our Senior Developers (1h30)
Get a glimpse of what it's like working at YLD! 🤳
We live and breathe our values, and know you will too:
- Growing every day
- Including everyone
- Relationships built on honesty and ethics
- Inspiring solutions
- Winning together
We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.
Ready to apply?
Apply to YLDAbout Us
Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
About the Role
The Data Science department plays a pivotal role in our company, generating value to Riskified by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
- Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
- Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
- Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
- Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
- Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
- Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
- Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
- Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities
Qualifications
- B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
- 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
- Strong understanding and practical experience with various machine learning algorithms.
- Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
- Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
- Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
- Proficiency in data visualization libraries, to create meaningful visual representations of complex data
- Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
- Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
- Experience in the fraud domain
- Experience with Airflow, CircleCI, PySpark, Docker and K8S
Life at Riskified
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.
We’re looking for bright, driven, and passionate people to grow with us.
Some of our Lisbon Benefits & Perks:
- Hybrid mode of work
- Flexible schedule
- Healthcare benefits
- Fully-stocked kitchens
- Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
- Wellness program
- Celebrations and activities
- Team events
- Happy hours
- Awesome Riskified gifts and swags
- Volunteer programs
- Personal development
- Global onboarding
- Role-based technical skills training
- Full access to Udemy
In the News
Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology
Globes: Riskified is among Israel’s fastest growing companies
Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
Ready to apply?
Apply to Riskified
Senior Backend Software Engineer - Product Analytics
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Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.
In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
- Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance
- Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams
- Work with our core platform teams to tailor Datadog's storage and query solutions to our needs
- Create a strong team culture aligned with our engineering standards and our customer focus
- Participate in hands-on engineering work including coding, code reviews, and design reviews
Who You Are:
- A seasoned backend engineer with deep expertise in designing and building distributed systems
- Comfortable influencing technical direction without direct management authority, operating as a technical leader and mentor
- Interested in working on an early stage project with many challenges to solve and a fast iteration cycle
- You have a track record of delivering high-quality software products on schedule and collaborating closely with product partners
- Strong technician, particularly with Go, Java or SQL, who is interested in remaining a hands-on contributor
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products
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:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
About Us
Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
About the Role
As a Full-Stack Developer in Riskified’s Core Services Group, you’ll build and maintain applications end-to-end using various technologies. Working in a dynamic, agile environment with cutting-edge technologies, you’ll contribute to expanding Riskified’s ecosystem.
Our developers take full ownership, from feature planning with Product and Design to selecting technologies, designing architecture, coding, reviewing, deploying in a CI/CD environment, and monitoring post-deployment.
The team focuses on customer-facing applications, including a core web tool that allows merchants to review orders, perform actions, and gain insights through advanced analytics. Whether you’re crafting precise UI, developing robust backend logic, or optimizing infrastructure for scale, you’ll have the opportunity to engage end-to-end.
Our Stack: Scala, Spark, Node.js, Ruby, React, Postgres, Elastic, Redis, AWS, Kafka, Docker, Kubernetes, CircleCI and much more.
What You'll Be Doing
- Design and develop a highly reliable, available, and scalable architecture for our core services and web applications in a new promising product
- Deploy your code to production daily (we have advanced CI/CD pipelines)
- Be a strong owner of production systems, keeping them running smoothly
- Active part in planning the team roadmap and products
- Collaborating with design and product teams to define and implement new features
Qualifications
- B.Sc. in Computer Science or equivalent certifications
- 3+ years of proven experience in hands-on server-side coding
- Hands-on experience in React
- Hands-on experience in Node - advantage
- Proven experience in full-stack development, with proficiency in both frontend and backend technologies.
- Strong understanding of databases (SQL, NoSQL) and familiarity with cloud services (AWS, GCP).
- Great attitude - an independent self-learner and a strong team player
Life at Riskified
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.
We’re looking for bright, driven, and passionate people to grow with us.
Some of our Lisbon Benefits & Perks:
- Hybrid mode of work
- Flexible schedule
- Healthcare & dental benefits
- Fully-stocked kitchens
- Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
- Wellness program
- Celebrations and activities
- Team events
- Happy hours
- Awesome Riskified gifts and swags
- Volunteer programs
- Personal development
- Global onboarding
- Role-based technical skills training
- Full access to Udemy
In the News
Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology
Globes: Riskified is among Israel’s fastest growing companies
Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
Ready to apply?
Apply to Riskified
About Us
Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
About the Role
We’re looking for a talented multi disciplinary Senior Data Platform Engineer with passion for infrastructure, who will be responsible for the performance, scale, and stability of our core data platform products. We are a data-driven organization, ingesting data at high rates, with demands increasing each day.
As a Senior Data Platform Engineer, you will be part of the Data Platform group and will be responsible for a large scale production data platform that serves as the core infrastructure of our products. You'll develop self-service tools that support the accessibility of our platform for the use of our users from R&D and Analytics departments. We will look to you to be a center of knowledge, consult, and share your expertise with others.
What You'll Be Doing
- Lead the development of AI-ready data platform foundations, including data quality, contracts, observability, and self-service tooling that power machine learning and AI-driven products.
- Administrate, provision and monitor our different platform products.
- Develop, maintain and enhance the Applicational infrastructure that is working tightly with our Data Platform infrastructure tools.
- Guide development teams and mentor other team members.
- Use your creativity to resolve complex and high scale data related issues
- Research new technologies, starting from POC level to production grade systems.
Qualifications
- 6+ years prior experience as a Data Platform Engineer / Big Data Infrastructure engineer or equivalent.
- Deep understanding of distributed systems, in terms of ingestion, storage and access.
- Hands-on experience with Data Streaming technologies: Apache Kafka / Apache Pulsar / Spark Streaming / Kstream / Apache Flink
- B.Sc. in Computer Science (or equivalent)
- Experience working on high scale, production-grade projects
Advantage
- Experience with tools like Apache Spark and Databricks.
- Experience with the Cloud Native stack( Kubernetes / Prometheus/Istio etc.)
- Experience with a cloud provider (AWS, Google etc.)
- Experience with Infrastructure tools (Helm, Ansible, Terraform etc.)
- Experience with Scala
Life at Riskified
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.
We’re looking for bright, driven, and passionate people to grow with us.
Some of our Lisbon Benefits & Perks:
- Hybrid mode of work
- Flexible schedule
- Recharge weekends
- Healthcare & dental benefits
- Fully-stocked kitchens
- Commuter benefits
- Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
- Wellness program
- Celebrations and activities
- Team events
- Happy hours
- Awesome Riskified gifts and swags
- Volunteer programs
- Personal development
- Global onboarding
- Role-based technical skills training
- Full access to Udemy
In the News
Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology
Globes: Riskified is among Israel’s fastest growing companies
Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
Ready to apply?
Apply to Riskified
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
- The work we do and the innovation we drive
- Our values of share, care and dare
- A workplace culture that fosters creativity, diversity and autonomy
- Our borderless, global framework, which enables seamless collaboration
The role
Valtech is looking for a Flutter Lead Developer to shape our cross-platform mobile and web application landscape. In this role, you will own the technical strategy, architecture, and delivery of scalable, high-performing Flutter applications that power digital experiences across our business. Working at the intersection of design, development, and product, you’ll lead a cross-functional team of developers and testers, define best practices, and transform ideas into elegant, responsive, and maintainable apps. You will play a key role in driving technical excellence and Flutter adoption, while mentoring others and contributing to a culture of innovation and quality.
Role responsibilities
- Lead Flutter mobile app development across Android / iOS.
- Focus on best engineering practices for quality, clean code, testing & observability.
- Architect scalable, maintainable, and performant mobile solutions.
- Mentor and guide Flutter developers; conduct code reviews.
- Collaborate with product, design, and backend teams.
- Ensure code quality, testing, and CI/CD integration.
- Stay updated with Flutter/Dart trends and best practices.
- Manage technical risks and project timelines.
Must have qualifications
To be considered for this role, you must meet the following essential qualifications:
- 7+ years of total development experience, with at least 3+ years in Flutter development.
- Strong knowledge of data structures, modern design patterns, and best practices in object-oriented software engineering.
- The ability to write clean and neat code that is easy to maintain.
- The ability to cover all (or almost all) your work with tests.
- Understanding the principles of user interface design.
- Expert knowledge of the Dart language.
- Experience developing native applications (Android/iOS) will be a plus.
- Knowledge of development and configuration tools (Git, Jira, Jenkins, etc.).
- Experience with RESTful APIs to connect to back-end services.
- Knowledge of modern architectural patterns in mobile development (BLoC, MVVM) and the principles of functional programming.
- Understanding the principles of DRY and SOLID principles.
- Experience in creating multi-module projects.
- Advanced level of English, both written and verbal.
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
This is a position based in Portugal.
Beyond a competitive compensation package, we offer:
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Your application process
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud!
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
Ready to apply?
Apply to Valtech
Senior Software Engineer (Agent Engineer) - AI Code Gen
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We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.
We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
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:
- Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
- Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
- Prototype and see what works well in the real world, iterate closely with our users, and then ship.
- Follow the latest research on LLM prompting, agents, and code editing.
- Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.
Who You Are:
- You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
- You are passionate about Generative AI and its ability to help software engineers be more productive.
- You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
- You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
- You want to work in a fast, high-growth startup environment that respects its engineers and customers.
- You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
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:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.
We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
- Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
- Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions
- Prototype and see what works well in the real world, iterate closely with our users, and then ship
- Follow the latest research on LLM prompt optimization, agents, and code editing.
- Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of “one click to reproduce” for production errors.
Who You Are:
- You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
- You are passionate about Generative AI and its ability to help software engineers be more productive
- You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
- You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
- You want to work in a fast, high-growth startup environment that respects its engineers and customers
- You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
- You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
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:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
At Datadog, we leverage AI across our observability platform to improve monitoring, speed up incident resolution, and ensure data reliability for cloud applications.
Datadog’s Deployment Gates team builds customer-facing systems that decide whether software should ship to production. Deployment Gates sit directly in customers’ CI/CD pipelines and use observability data to answer one of the hardest questions in software delivery:
Given everything we know right now, is this deployment safe to proceed?
In this role, you will:
-
Work on an analysis service that prevents incidents by detecting faulty software changes in production before they reach clients
- Lead the design of progressive deployment automation, starting with zero-setup, conservative AI rules and evolving toward adaptive gates that learn from incidents and organizational patterns
- Design the foundation for autonomous remediation, connecting what changed in code to what broke in production, from blocking and rolling back unsafe deployments to proposing fixes and enforcing policies
This is a highly product‑minded engineering role: you’ll work from problem discovery and UX all the way to reliable, scalable production systems.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What you’ll do:
- Build AI-driven deployment gates: Design and ship decision systems that evaluate customer deployments using CI/CD context and Datadog telemetry, producing safe, explainable allow/block outcomes
- Own evals and rollout: Define precision, recall, and trust metrics; build offline and online evals; validate changes in shadow mode; and safely promote improvements to enforcement
- Design for robustness and safety: Implement conservative defaults, guardrails, fallbacks, and human-in-the-loop paths so gates behave predictably under noisy or incomplete data
- Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations
- Integrate across the Datadog platform: Partner with internal AI teams building the Faulty Deployment Detection pipeline, as well as teams working on LLMs and AI agents
- Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services
Who you are:
- A Product‑minded engineer who ships AI to production
- You have 5+ years experience with backend systems and microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
- You are proficient in a modern programming language; strong API/service design; production ops (monitoring, alerting, on‑call rotation)
- You have proven experience delivering software based on LLM/agent features to production
- You are comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics
- An End-to-end AI implementation owner: You understands the end-to-end LLM product lifecycle
- Fluent with offline/online evals for AI systems
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
Bonus Point:
- Experience with Continuous Delivery tools (i.e. ArgoCD / Argo Rollouts, Spinnaker, Octopus Deploy)
- Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data
- You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products
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:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
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:
- Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
- Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
- Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
- Drive product direction with a strong user focus, always advocating for the best end-user experience.
- Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
- Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
- Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, and evaluation
- You are passionate about mentoring others and cultivating a high-performing engineering culture.
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
- You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products
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:
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Remote
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
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:
- Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
- Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
- Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
- Drive product direction with a strong user focus, always advocating for the best end-user experience.
- Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
- Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
- Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, and evaluation
- You are passionate about mentoring others and cultivating a high-performing engineering culture.
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
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:
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
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:
- Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
- Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
- Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
- Drive product direction with a strong user focus, always advocating for the best end-user experience.
- Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
- Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
- Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, and evaluation
- You are passionate about mentoring others and cultivating a high-performing engineering culture.
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
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:
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Staff AI Engineer - Notebooks
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We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
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:
- Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
- Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
- Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
- Drive product direction with a strong user focus, always advocating for the best end-user experience.
- Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
- Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
- Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, and evaluation
- You are passionate about mentoring others and cultivating a high-performing engineering culture.
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
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:
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Remote
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.
We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
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:
- Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
- Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
- Prototype and see what works well in the real world, iterate closely with our users, and then ship.
- Follow the latest research on LLM prompting, agents, and code editing.
- Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.
Who You Are:
- You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
- You are passionate about Generative AI and its ability to help software engineers be more productive.
- You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
- You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
- You want to work in a fast, high-growth startup environment that respects its engineers and customers.
- You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
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:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.
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:
- Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
- Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
- Collaborate with Product, Design, and partner teams to build cohesive experiences
- Prototype and see what works well, iterate closely with our users and experts, and then ship
- Follow the latest research on GenAI and AI agents
Who You Are:
- You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
- You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
- You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
- You want to work in a fast, high-growth startup environment that values its engineers
- You are a good communicator and can drive hard technical conversations towards a pragmatic solution
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
Bonus Point:
- Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
- Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
- Experience scaling products in a high-growth SaaS environment
- You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products
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:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.
We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
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:
- Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
- Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
- Prototype and see what works well in the real world, iterate closely with our users, and then ship.
- Follow the latest research on LLM prompting, agents, and code editing.
- Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.
Who You Are:
- You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
- You are passionate about Generative AI and its ability to help software engineers be more productive.
- You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
- You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
- You want to work in a fast, high-growth startup environment that respects its engineers and customers.
- You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
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:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.
We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
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:
- Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
- Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
- Prototype and see what works well in the real world, iterate closely with our users, and then ship.
- Follow the latest research on LLM prompting, agents, and code editing.
- Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.
Who You Are:
- You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
- You are passionate about Generative AI and its ability to help software engineers be more productive.
- You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
- You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
- You want to work in a fast, high-growth startup environment that respects its engineers and customers.
- You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
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:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Software Engineer - UI Frontend
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Company Overview
Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
We are looking for bright and exceptional software engineers to join our technology team. You will build next-generation software used by some of the most sophisticated alternative asset managers, and play a central role in Arcesium's platform experience
What You'll Do:
- Build high-performance, data-dense UIs featuring virtualized grids, advanced column management, real-time status views, and complex multi-step financial workflows
- Work with Product Managers and Designers to drive the Modern UI rollout in delivering parity with legacy screens while meaningfully improving usability, navigation, and accessibility
- Architect and develop the Backend for Frontend (BFF) layer using Node.js/TypeScript to orchestrate, stitch, and transform data from multiple backend services for efficient UI consumption
- Build and maintain reusable components in the Arc Design System (MUI-based), ensuring consistency across opt-in/opt-out flows, column customizers, filter panels, and shared UI patterns
- Collaborate with backend teams to define and close API contracts, and work with non-technical stakeholders to review and validate usability and experience quality
- Contribute to AI-assisted development workflows, including prompt-driven component scaffolding, AI-powered legacy app migration tooling, and embedding agent interactions into UI
What You'll Need:
- A bachelor's degree in engineering with 2–5 years of experience in the IT industry
- 2+ years of hands-on web development with HTML5, JavaScript, TypeScript, React, CSS, and TDD practices
- Strong command of core JavaScript (closures, event loop, prototype chain, async/await) and TypeScript (generics, strict typing)
- Solid understanding of architectural principles including BFF patterns, component decomposition, state management (MobX or equivalent), and web performance optimization
- Practical experience building and optimizing data grids, including virtualization, lazy loading, column configuration, and filtering at scale
- Experience with Material UI (MUI) and design system principles; ability to build accessible, consistent UI components aligned to a shared design language
- Experience with Node.js/Express for server-side rendering or BFF development is preferred
- Curiosity and comfort working with AI-assisted development tools (LLM-based coding, prompt engineering for UI scaffolding) is a huge plus
Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).
Arcesium is an equal opportunity employer.
Ready to apply?
Apply to Arcesium LLC
Performance QA Engineer
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
The Veeam Quality Assurance team invites you to work on Veeam products with Veeam QA professionals in the Lisbon R&D office.
As a Performance QA Engineer, you will work on large‑scale, real‑world backup and data protection scenarios used by enterprises worldwide. Your work will directly influence the scalability, reliability, and performance of Veeam products running in some of the most demanding environments.
What You'll Do
- Design and execute performance, load, and scalability testing for major components of Veeam products (from requirement analysis and lab design to test execution and results analysis)
- Build and maintain realistic enterprise‑grade test environments, including large infrastructures and complex topologies
- Identify performance bottlenecks and system limits, and work closely with developers, functional QA, and product managers to resolve them
- Participate in root cause analysis of performance issues reported by Technical Support and customers
- Own and evolve performance test labs: environment creation, configuration, monitoring, and collaboration with IT teams
What You'll Bring
- Technical education or a strong, hands‑on passion for systems and performance
- 1–2 years of experience in performance and/or load testing (or a strong practical background in system performance)
- Ability to analyze test results and clearly identify bottlenecks, limits, and performance risks
- Solid knowledge of Windows and/or Linux at an advanced user or system administration level
- Good understanding of system internals: CPU, memory, storage, networking
- Strong analytical mindset, attention to detail, and structured thinking
- Motivation to grow as a performance and scalability engineer
- English proficiency for daily communication within international teams
Bonus Skills
- Experience with databases (Microsoft SQL Server, PostgreSQL), including profiling and performance analysis
- Scripting, test automation, or infrastructure deployment experience
- Understanding of virtualization platforms and large virtual environments
- Hands‑on experience with cloud platforms (Azure, AWS, Google Cloud)
- Experience with Python
- Familiarity with Ansible, Terraform, or similar infrastructure‑as‑code tools
What You'll Get
- 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private medical, dental, and optical insurance for employees and dependents
- Life and disability insurance worth 2x gross annual salary
- Monthly meal allowance of €10.46 per working day
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
#LI-YS1
#Hybrid
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
QA Automation Engineer with Java
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
Now we are looking for a Middle/Senior QA Automation Engineer (Java) to join the team that works on the Veeam Backup for Salesforce.
What You'll Do
- Developing testing strategies for software products
- Developing automated tests for integration and functional scenarios, including for the backend, frontend, data storage system, etc
- Developing and improving current automation tools
- Maintaining test documentation
- Validating tests and scenarios written by other testers
- Conducting test cycles using functional, integration, and load testing
- Evaluating test results, preparing reports, and making suggestions for quality improvement
- Analyzing results, increasing test coverage, participating in development, and implementing new approaches to product testing
What You'll Bring
- Knowledge of Java
- Knowledge of SQL
- Knowledge of REST, SOAP, HTTP
- Knowledge of Playwright
- API testing experience
- Knowledge of Docker
- Experience with Azure DevOps (CI/CD, pipelines, IaC such as Bicep, etc.)
- Knowledge of automated testing tools: JUnit, Jupiter etc
- Hands-on experience with Spring Boot
- Experience with test case management systems (e.g., TestRail, Zephyr, Xray, etc.)
- Knowledge of the principles of distributed systems
- Skill and experience in collecting system requirements
- An understanding of system interoperability
- An understanding of the differences between various types of testing
Bonus Skills
- A deep understanding of the software life cycle process
- A deep understanding of the testing process and experience with implementing it in practice
- Knowledge of programming languages: Kotlin
- Knowledge of relational database operation
- Knowledge of Kubernetes (k8s)
- Experience in load testing
- Experience in working with large volumes of data and data quality testing
What You’ll Get
- 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private medical, dental, and optical insurance for employees and dependents
- Life and disability insurance worth 2x gross annual salary
- Monthly meal card with €10.46 per working day
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
Please note: If the applicant is permanently present outside of Portugal, Veeam reserves the right to refuse to consider the application for a job. Remote job is only possible in case the employee is located in Portugal.
#LI-AR1
#Hybrid
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Customer Success Engineer
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. As a Customer Success Engineer, you are the primary technical owner driving long-term customer outcomes across the Veeam Data Platform. You’ll lead onboarding, adoption, and optimization; proactively identify churn risk, migrations, and upsell opportunities; and apply deep disaster recovery and resilience (DR&R) expertise to conduct recovery simulations, DRMM assessments, and quarterly resilience reporting for measurable customer value
What You’ll Do
- Configure customer accounts; customize backup policies and storage; facilitate onboarding; orient stakeholders; walk through admin portals; introduce support channels.
- Identify migration opportunities; analyze usage and environment; conduct success planning and strategy sessions; align business outcomes with product adoption.
- Conduct assessments; build protection plans; recommend software products and architectures across the Veeam Data Platform.
- Run recovery simulations; apply the Veeam Data Resilience Maturity Model (DRMM) to track and report resilience posture; deliver quarterly resilience reports.
- Monitor signals to detect churn risk early; define mitigation plans; partner on renewal strategy with actionable technical insights.
- Build business cases; define TCO; articulate value propositions for expansion; schedule checkpoint reviews with stakeholders.
- Engage CISO/CIO stakeholders with clear risk, status, and opportunity updates; support context for executive discussions and roadmap alignment.
- Collaborate on marketing-informed campaigns and plays to drive adoption and expansion.
- Operate with a long-term account assignment model tied to ARR and growth potential, typically covering 5–50 Enterprise and Commercial-Named accounts with $100K+ ARR.
- Own the technical success plan and adoption roadmap; influence pricing, commercial terms, and renewal terms in partnership with Sales and CS leadership
What You’ll Bring
- 5+ years in customer-facing engineering roles focused on data backup and recovery (e.g., Technical Consulting, Pre-Sales SE, Technical Account Manager); this is a mid-level role.
- Advanced level of English
- Hands-on expertise across operating systems, virtualization, storage, scripting/automation, cloud platforms, and DR&R best practices.
- Strong experience designing and executing protection plans, migrations, and recovery simulations; familiarity with Veeam platform capabilities is a plus.
- VMCE certification required (may be completed post-hire within an agreed timeframe).
- Preferred industry certifications: AWS Solutions Architect (Associate/Professional), Microsoft Azure Administrator or Solutions Architect Expert
- Proven ability to translate business outcomes into technical adoption roadmaps and measurable value.
- Executive stakeholder engagement skills (CISO/CIO) with the ability to synthesize technical, business, and risk signals into clear recommendations.
- Excellent communication, cross-functional collaboration, and stakeholder management skills.
What You’ll Get
- 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private medical, dental, and optical insurance for employees and dependents
- Life and disability insurance worth 2x gross annual salary
- Monthly meal card with €10.46 per working day
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
Please note: If the applicant is permanently located outside of Portugal. Veeam reserves the right to decline the application for the position. Remote work is only possible for employees located in Portugal.
#LI-AP1
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Machine Learning Engineer
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We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
At Kaizen, we aim to leverage the capabilities offered by modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations, and from AI-powered co-pilots to CRM optimizations.
We build our teams to be self-driven, autonomous and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.
As a Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models.
- Design, develop and maintain scalable model training and inference pipelines in a distributed production environment;
- Design, develop and maintain microservices in Python that host and serve ML models on production;
- Design, develop and maintain internal tools that enable CI/CD/CT, performant feature engineering, experiment tracking, data and model versioning.
What you’ll bring
- Ηands-on experience in software development using Python on a production environment;
- Good understanding of:
- Software system design;
- The ML project lifecycle;
- MLOps concepts and tools such as MLflow or Kubeflow;
- ML algorithms and models.
- Experience with cloud providers like Microsoft Azure or AWS;
- Experience with PySpark and Databricks.
Kaizen Gaming Perks
- 🕑 Hybrid model of working
- 🏃 A buddy will support you with your onboarding
- 💸 Competitive salary package and bonus scheme
- 👩⚕️ Health and life insurance for you and your family
- 💰 Monthly meal allowance
- ⭐ Developmental 360° feedback framework
- 📚 Unlimited access to Udemy & continuous training
- 🚗 Commuting allowance
- 👨👩👧👦 Family Support
- #LI-Remote
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
Senior Data Scientist
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We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
At Kaizen, our aim is to make data driven decisions in order to automate our servicers while also focusing on offering tailored customer experiences. Our machine learning team is dedicated towards this mission by building a variety of models, from binary classification tasks up to recommendation systems. We focus on transforming business needs into production applications and we cover a wide range of business sectors utilizing different data types and handling a broad project diversity.
Our teams comprise of three different roles, data scientists, machine learning engineer and data engineers so that they include the full skillset to deliver projects to production.
We are currently looking for data scientists in all levels to join our teams. The role should combine strong knowledge of machine learning algorithms, analytical skills, experimental design etc. to support the model development process.
- Translate business requirements to machine learning problems;
- Perform EDA and feature engineering;
- Run comparative experiments for model training;
- Implement best practices on model selection, parameter tuning etc.
What you’ll bring
- A background in Computer Science, Statistics, Math or related field;
- Strong knowledge of machine learning algorithm and respective theory;
- 2-8 years of hands-on experience in delivering machine learning models to production;
- Knowledge of the Python machine learning ecosystem;
- Experience with Spark (PySpark);
- Solid software background in OOP;
- Strong skills in teamwork, communication, and analytical thinking;
- Fluency in English, both oral and written.
Nice to have
- Experience with Azure / Databricks;
- Knowledge of Deep learning;
- Experience in recommendation systems.
#Artificial Intelligence (AI) #Machine Learning (ML) #Data Science (DS)
Kaizen Gaming Perks
- 🕑 Hybrid way of working
- 🏃 A buddy will support you with your onboarding
- 💸 Competitive pay & bonus scheme
- ⭐Developmental 360° feedback framework
- 💰 Monthly meal allowance
- 👩⚕️ Private health insurance for you and your family
- 📚 Unlimited access to Udemy & continuous training
- 👨👩👧👦 Family Support.
- #LI-Remote
- #LI-PROMOTE
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
Senior Machine Learning Engineer
Share this job
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
At Kaizen, we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations.
We structure our teams to be self-driven, autonomous, and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.
As a Senior Machine Learning Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. Here's what's up for you:
- Collaborate closely with data scientists in order to deliver production-ready model training pipelines;
- Design scalable solutions in a distributed environment;
- Design scalable inference pipelines and architectures;
- Implement model diagnostics such as evaluation, monitoring flows etc.;
- Automate model deployment, enable REST API model endpoints;
- Develop scalable model serving flows;
- Work on cluster optimization and scalability;
- Develop and maintain internal tools and libraries;
- Write CI/CD/CT pipelines.
What you’ll bring:
- Extensive experience in software development using Python in large scale, high-performance production environment;
- Significant hands-on experience in designing ML software systems;
- Significant experience with cloud environments like Microsoft Azure or AWS;
- Hands-on experience with Spark and PySpark;
- Excellent problem solving and communication skills
- Good understanding of:
-
- Software system design;
- The ML project lifecycle;
- MLOps concepts and tools such as MLflow or Kubeflow;
- ML algorithms and models.
Kaizen Gaming Perks
- 🕑 Hybrid model of working
- 🏃 A buddy will support you with your onboarding
- 💸 Competitive salary package and bonus scheme
- 👩⚕️ Health and life insurance for you and your family
- 💰 Monthly meal allowance
- ⭐ Developmental 360° feedback framework
- 📚 Unlimited access to Udemy & continuous training
- 🚗 Commuting allowance
- 👨👩👧👦 Family Support
- #LI-Remote
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
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Tech Lead, Android Core Product - Lisbon, Portugal
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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 Design award winner for inclusivity for 2025.
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
With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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
- Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
- Shape the future of our Android team
- Own, maintain and improve reliability metrics for key features
- Participate in discussions across different teams - Product, Design, Engineering
- Review pull requests, and support other teammates
- Handle critical issues or cope with unexpected challenges
- Take ownership of feature releases and provide nightly builds for the QA team
An Ideal Candidate Should Have
- 5+ years of software engineering experience
- Familiarity with Android components
- Experience building or contributing to at least one Android app
- Product design intuition and user empathy
- Drive to push the boundaries of Android UI/UX
- Understanding of the importance of tests and how to approach writing tests
- Self-drive to improve the app and codebase above and beyond what's outlined in the spec
- Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
- Excellent communication skills
- User oriented problem solving approach
- Driven with continuous feedback from leaders
Bonus:
- Experience building, maintaining, or otherwise contributing to open source projects in Android
- Experience with iOS, Web or NodeJS
Technologies we use:
- Kotlin
- Kotlin Coroutines
- Kotlin Flow
- Jetpack Navigation
- Dagger 2
- Room
- Custom Views, Canvas & Paint
- Jetpack Compose
- JUnit
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.
Ready to apply?
Apply to Speechify
Software Engineer, Platform - Lisbon, Portugal
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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.
Ready to apply?
Apply to Speechify
Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.
Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.
As a Lead AI Engineer on our Data Platform & Services (DPS) team, you will apply your expertise in AI capabilities to build and deploy production grade AI powered systems towards data engineering, analytics & product evolution use cases. You’ll design and deploy agentic frameworks, natural language querying (NLQ) capabilities, and prompt/LLM evaluation strategies that unlock insights at scale across Upwork. This is an opportunity to deliver tangible impact, enabling faster decision-making, democratizing data access, and empowering analysts, product teams and stakeholders throughout the company.
Responsibilities
- Design and implement scalable agentic frameworks that coordinate multiple AI agents to deliver accurate and reliable outcomes.
- Build and optimize natural language query solutions that provide compliant, intuitive, and self-service access to enterprise data.
- Develop and maintain evaluation frameworks for LLMs and prompts, driving measurable improvements in accuracy, scalability, and resilience.
- Partner with data engineering peers to integrate AI orchestration with Python, SQL, and Snowflake pipelines.
- Contribute to AI-powered summarization and explanation tools that enhance reporting, insights, and executive reviews.
- Collaborate cross-functionally with product, analytics, and business teams to ensure solutions meet measurable business goals.
What it takes to catch our eye
- Proven experience delivering AI-powered data systems in production, including hands-on expertise with LLMs and prompt engineering.
- Strong foundation in modern data engineering, with proficiency in Python, SQL, and platforms such as Snowflake.
- Demonstrated ability to design agentic orchestration frameworks that scale across diverse business scenarios.
- A collaborative problem-solver with strong communication skills, able to align stakeholders and create clarity across teams.
- Growth mindset, excited to learn, iterate, and deliver measurable business outcomes through applied AI.
Come change how the world works.
Upwork is establishing its first international operational hub in Lisbon, Portugal. The new office is expected to be fully operational by Q4 2026.
This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.
Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require.
Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.
To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice.
To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice
Ready to apply?
Apply to Upwork
Senior Lead Machine Learning Engineer, Agentic AI
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Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.
Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.
We’re seeking a Senior Lead Machine Learning Engineer to architect, ship, and scale the next generation of agentic intelligence across Upwork. You will lead end‑to‑end development of AI agents and the platform that powers them—from LLM training and evaluation to runtime orchestration, safety, and developer APIs. This is a hands‑on, high‑impact role at the intersection of applied research and platform engineering, enabling internal teams and external developers to build reliable, safe, and high‑performing agents on Upwork.
Responsibilities
- Build Agentic Intelligence. Design and implement multi‑agent systems (planning, tool‑use, memory, debate/critique, reflection) with robust guardrails and recovery strategies.
- Develop protocol‑aware agents and services that interoperate cleanly with developer tooling (e.g., agent frameworks and protocols such as MCP).
- Own reliability at scale: deterministic execution where needed, idempotency, timeouts/retries, and evaluation‑driven iteration on agent behavior.
- Train, Align, and Evaluate LLMs for Agents. Lead data strategy and curation for agent tasks; drive SFT, DPO, RLHF/RLAIF, and safety tuning tailored to multi‑tool, multi‑step workflows.
- Stand up evaluation harnesses for functional, task, and longitudinal metrics (success rate, time‑to‑completion, hallucination/escape rates, cost/latency).
- Build policy‑driven guardrails; partner with Legal/Security on data governance and privacy.
- Engineer Agentic Platform Backend Infrastructure. Architect low‑latency inference, retrieval, and orchestration services (streaming, event‑driven pipelines; scalable queues; caching; batching) with strong SLOs.
- Ship production‑grade services (APIs/SDKs, auth, rate limiting, observability) that make agent features easy to integrate for internal and external developers.
- Optimize cost/performance via quantization, distillation, model‑routing, and autoscaling; integrate evaluation signals directly into runtime and CI/CD.
- Lead, Partner, and Uplevel the Ecosystem. Provide technical leadership across research, product, and platform teams; mentor senior ICs; influence roadmaps with clear metrics and trade‑offs.
- Publish internal guidance and exemplar implementations; contribute to technical content, samples, and reference architectures for our agent platform.
- Define and track KPIs for data/quality/throughput, and drive continuous improvement using experiment results and production telemetry.
What it takes to catch our eye
- 8–12+ years in applied ML/ML systems with 4+ years building LLM‑powered products; proven delivery of agentic workflows in production.
- Hands‑on mastery of LLM adaptation (prompting, tool/function calling), data curation, and safety/guardrails.
- Strong software fundamentals (distributed systems, transactions, consistency, resiliency) and experience building high‑throughput microservices/APIs/SDKs.
- Fluency with Python; proficiency in one of Go/Java/Javascript a plus. Experience with container orchestration, messaging/streaming, and observability stacks.
- Experience designing eval suites for agents (task/rubric‑based, offline/online) and closing the loop from evals → training → runtime policy.
- Comfort with cost, latency, and reliability trade‑offs; you use metrics to make crisp decisions under ambiguity.
- Familiarity with agent frameworks and protocols (e.g., MCP; API/SDK design for developer productivity).
- Track record of leading cross‑functional initiatives and mentoring senior engineers; excellent written communication and bias for measurable results.
Come change how the world works.
Upwork is establishing its first international operational hub in Lisbon, Portugal. The new office is expected to be fully operational by Q4 2026.This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities. Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.
To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice
Ready to apply?
Apply to Upwork
At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivalled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Website: https://www.reltio.com/
Internship Summary:
- (3 months) internship program.
- Learn how Reltio operates and gain useful skills to take with you in your career from leaders at the company
- Training on Reltio products and platforms to be effective on the job
- Development of scripts/codes and Assist in the design and development of software applications.
- Collaborate with cross-functional teams to understand user requirements and translate them into technical specifications.
- Assist in the documentation of software functionalities and development processes.
- Get involved with live project/team discussions and complete all the assigned tasks on time.
- Working with mentor closely and complete final internship project as expected and within time.
What You Bring to the Team:
- Computer Science and software fundamentals knowledge
- Problem solving
- Good understanding of any of the programming language Java/C++/Python/JavaScript etc.
- Technical ability to work with Engineering teams and understand the technical requirements
- Excellent organization, time management, and communication skills to take initiative and work proactively with minimal supervision
- An entrepreneurial spirit, passionate about what you do, enthusiastic, competitive, disciplined, collaborative, self-motivated with a strong work ethic
- Excellent listener, curious, ability to learn and adapt to new concepts and technologies
- Ability to take direction, be coached and mentored
Benefits:
- Opportunity to solve customer problems related to data unification
- Understand Reltio product and platform very closely
- Transparent, meritocratic, and leadership culture
- Unlimited access to the best technology
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivalled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Website: https://www.reltio.com/
Internship Summary:
- (3 months) internship program.
- Learn how Reltio operates and gain useful skills to take with you in your career from leaders at the company
- Training on Reltio products and platforms to be effective on the job
- Development of scripts/codes and Assist in the design and development of software applications.
- Collaborate with cross-functional teams to understand user requirements and translate them into technical specifications.
- Assist in the documentation of software functionalities and development processes.
- Get involved with live project/team discussions and complete all the assigned tasks on time.
- Working with mentor closely and complete final internship project as expected and within time.
What You Bring to the Team:
- Computer Science and software fundamentals knowledge
- Problem solving
- Good understanding of any of the programming language Java/C++/Python/JavaScript etc.
- Technical ability to work with Engineering teams and understand the technical requirements
- Excellent organization, time management, and communication skills to take initiative and work proactively with minimal supervision
- An entrepreneurial spirit, passionate about what you do, enthusiastic, competitive, disciplined, collaborative, self-motivated with a strong work ethic
- Excellent listener, curious, ability to learn and adapt to new concepts and technologies
- Ability to take direction, be coached and mentored
Benefits:
- Opportunity to solve customer problems related to data unification
- Understand Reltio product and platform very closely
- Transparent, meritocratic, and leadership culture
- Unlimited access to the best technology
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
Senior Infrastructure Engineer (Observability)
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About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS
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Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)
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Scaling observability infrastructure across multiple data centers and Kubernetes clusters
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Owning logging pipeline architecture and refactoring efforts
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Improving distributed tracing coverage and driving adoption across engineering teams
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Managing EKS upgrades, node exporters, agents, and collectors
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Automating operational tasks to reduce toil and improve system stability
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Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)
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Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't
Requirements
Core technical experience:
- 8+ years of industry experience
-
Solid hands-on production experience with observability systems
-
Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)
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Experience with logging pipelines: design, deployment, and refactoring
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Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing
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Experience with Kubernetes cluster lifecycle management (EKS preferred)
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Practical knowledge of storage trade-offs for observability data at scale
Nice to have
-
Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)
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Familiarity with AI-assisted tooling selection and workflow integration
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Experience with MCP (custom or open-source implementations)
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Background in cloud account or environment migrations
- Experience preparing infrastructure for compliance/audit processes
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Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.
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Experience with containers and Kubernetes (installation and configuration of operators).
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Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java
Soft Skills / Personal Characteristics
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Good communication and collaboration skills in international technological companies.
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Interest in modern big distributed storage technologies, architectures.
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Good Spoken English to participate in product-related, architectural and technical discussions.
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Proper balance between being hands-on and deeper analytical approaches
(REQ ID: 2640)
Ready to apply?
Apply to Workato
Senior Infrastructure Engineer (Platform engineering)
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About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:
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Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.
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Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx
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On-board Workato components & applications to Internal Platform.
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Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.
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Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.
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Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.
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Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.
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Participate in system design consulting, platform management, and architecture reviews.
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Document development processes and best practices.
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Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
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Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.
If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!
Requirements
Qualifications / Experience / Technical Skills
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Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go
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Experience with creating internal platform tooling, e.g. CLI tools, etc
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Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.
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Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.
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Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.
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Strong understanding of networking fundamentals and web services architecture.
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Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).
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Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry).
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Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.
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BS or MS in the CS field (or equivalent experience).
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5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer / DevOps / SRE / CICD).
(REQ ID: 2718)
Ready to apply?
Apply to Workato
Senior Software Engineer (Distributed systems)
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About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
We are looking for a Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications. You will be responsible for building API interfaces (for customers, UI team etc). You will be responsible for building a high performance queuing/storage engine. You will collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team.
Responsibilities
-
Responsibilities include designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance
-
Contribute in all phases of the development lifecycle
-
Write well designed, testable, efficient code
-
Evaluate and propose improvements to existing system
Requirements
-
5+ years of industry experience
-
Experience building and shipping large-scale, reliable, highly distributed systems
-
Systems-level programming experience, especially in C, Go, Rust
-
Expertise in L2, L3, and/or L4 networking protocols
-
Good understanding of Linux networking and security
-
Experience building on top of Linux kernel networking primitives – netfilter, nftables, eBPF, tc, network namespaces, etc
-
Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis
-
Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud)
-
Understanding of Kubernetes concepts
-
Excellent debugging and optimization skills
-
Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet
-
Contributions to open source projects is a plus
-
Excited by the idea of optimizing complex solutions to general problems
-
Attention to detail and ability to solve complex customer problems
-
Own solutions end-to-end and driving the design, development, and deployment process
-
Able to work across teams and level common, sustainable solutions
Ready to apply?
Apply to Workato
Senior Software Engineer (Ruby/RoR, Platform)
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About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:
-
Build complex Ruby on Rails applications.
-
Build server side infrastructure for Workato user interface.
-
Contribute in all phases of the development lifecycle
-
Write well designed, testable, efficient code.
-
Evaluate and propose improvements to existing system.
-
Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
Requirements
Qualifications / Experience / Technical Skills
-
Strong experience developing, shipping and maintaining Rails applications (5+ years)
-
Vast knowledge of Ruby
-
BS/MS degree in Computer Science, Engineering or a related subject
-
Solid knowledge of object-oriented programming and design
-
Experience with Redis/Memcache based caching, RDBMS engines(Postgres)
-
Solid knowledge of object-oriented programming and design
-
Contributions to open source projects is a plus
Soft Skills / Personal Characteristics
- Excellent debugging, analytical, problem solving, and social skills
(REQ ID: 2380)
Ready to apply?
Apply to Workato
Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.
Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.
With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!
How you will make an impact:
As a Software Engineer II, Infrastructure on the Queueing and DBOps team, you’ll:
- Help operate the infrastructure behind Iterable’s mission‑critical data systems, including high-throughput Apache Pulsar clusters, RDS Postgres/Aurora, Elasticache/Valkey, and OpenSearch.
- Implement safe, automated patterns for upgrades, migrations, and configuration changes (e.g., blue‑green and rolling deployments) that keep our uptime and data integrity SLOs.
- Build and evolve Terraform/IaC modules and other “golden path” tooling that make it easy for engineering teams to adopt our platforms safely and consistently.
- Partner closely with our backend engineers to provide the infrastructure foundations for libraries and features, including rate limiting, database caching, and CDC pipelines.
You’ll work in a small, high‑impact team where your decisions directly influence Iterable’s reliability, costs, and ability to ship new data-powered features.
What you’ll do
- Run a reliable data infrastructure at scale
- Operate production Pulsar, database, caching, and search clusters with a focus on high availability, performance, and predictable behavior.
- Implement and refine alerting, dashboards, and runbooks to catch issues early and reduce incident MTTR.
- Standardize and automate infrastructure patterns
- Extend and maintain Terraform modules and other shared tooling used across engineering for team-owned services.
- Drive consistency in how environments are provisioned and configured, reducing drift and simplifying audits, upgrades, and troubleshooting.
- Deliver safer upgrades and migrations
- Contribute to zero‑downtime upgrade strategies for all team-owned infrastructure
- Support strategic migrations with high‑quality plans, test coverage, and rollout mechanics.
- Level up reliability and on‑call
- Participate in the on‑call rotation for Queuing and DBOps infrastructure, owning incident response and follow‑ups for your domains.
- Turn incident learnings into durable improvements in tooling, automation, and documentation.
Required Core Competencies & Proficiencies
- Have 2+ years of experience as a Software Engineer, Infrastructure / SRE / Platform engineer, or similar role.
- Have hands‑on experience operating cloud infrastructure (ideally AWS) in production, including at least one of:
- Managed databases (Postgres/Aurora or similar)
- Distributed queues/streaming systems
- Caching systems
- Search or analytics datastores
- Are comfortable writing production code in at least one modern language; experience with Python and/or Golang and/or Java is a plus.
- Have practical experience with Infrastructure as Code (Terraform strongly preferred) and CI/CD pipelines.
- Enjoy debugging complex distributed systems and tracking down performance bottlenecks across services, databases, and queues.
- Communicate clearly with both infra and backend engineers and are comfortable collaborating across teams.
- Bring a growth mindset and a bias toward automation, simplification, and long‑term reliability over one‑off fixes.
What we offer
- Competitive salaries & meaningful equity
- Private Medical Insurance
- Life/Risk Assurance
- Meal Allowance: 8.55€ per day
- Community Days (days for us to give back to the community)
- Paid Annual Leave (22 days)
- Global Lifestyle Reimbursement Account
- Paid Sabbatical
- Complete laptop workstation
Recruitment Disclaimer:
Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:
- Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.
- Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).
- Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.
You may see all job vacancies on our official Iterable channels:
- Official Iterable website, Careers page: https://iterable.com/careers/
- Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/
Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.
Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.
Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.
Ready to apply?
Apply to Iterable
About Dashlane
Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally.
We're looking for people who actively use AI tools to drive efficiency, creativity, and impact in their work. At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane, including how we work, how we hire, and the benefits of being a Dashlaner.
About the role
We are seeking a Staff Engineer to elevate the reliability, performance, and quality-by-design of Dashlane’s Web Platform. This is a high-impact technical leadership role, shaping long-term architectural direction while enabling teams to deliver faster and more confidently at scale.
As a Staff Engineer, you will act as a trusted advisor and technical multiplier, designing platform-level quality and observability capabilities, influencing engineering decisions across teams, and embedding a security-first, reliability-driven culture. You will combine deep expertise in quality and testing with broad web and platform engineering knowledge to drive sustainable, measurable improvements to our engineering standards and user experience.
Location:
You will be based in Paris, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. Our model is designed to strengthen team connections while supporting individual productivity and work-life balance. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.
About our stack:
-
Programming language: Typescript, Javascript, React, RxJS
-
Quality: Sonarqube, ESLint
-
Testing: Jest, Karma, WebdriverIO, Cucumber
-
Build: Webpack
-
Versioning: Gitlab
-
Monitoring: ELK, Tableau
-
Documentation and tooling: Confluence, Gitlab, Zoom, Slack
-
Misc: Gitlab CI, PNPM, Miro
At Dashlane you will:
- Drive the long-term technical vision for Web Platform quality and reliability, shaping architecture with a strong focus on performance, testability, security, and quality-by-design.
-
Design and enable platform-level quality capabilities (testing frameworks, observability standards, CI/CD guardrails, and tooling) that empower multiple teams to ship faster, safer, and with higher confidence.
-
Act as a technical leader and multiplier, identifying systemic gaps, driving high-leverage improvements, and ensuring measurable outcomes in Web Platform reliability, stability, and engineering standards.
-
Define, implement, and evolve SLIs and SLOs from a web perspective, ensuring reliability and performance targets are aligned with user experience and business priorities.
-
Raise the engineering bar across teams by coaching, mentoring, and influencing engineers, while continuously learning and sharing knowledge to foster a culture of technical curiosity, craftsmanship, security, and engineering excellence.
-
Partner closely with Product Managers, Engineering Managers, and cross-functional teams, influencing prioritization and decision-making by clearly articulating trade-offs between engineering excellence and business needs.
-
Lead and optimize end-to-end testing strategies, improving test effectiveness, execution speed, and confidence in production releases at scale.
Requirements:
- 6+ years of experience in software development
- 3+ years of experience with JavaScript or TypeScript development
- 3+ years of experience with frameworks such as React, AngularJS or VueJS
- 4+ years of experience working in a product-focused company
- Ability to work collaboratively in a team
- Fluency in English
We're Also Looking For:
- Prior experience defining and implementing SLIs and SLOs from web perspective, with a focus on performance, reliability, and user experience
- Strong knowledge of end-to-end testing best practices and test framework optimization to improve quality and execution speed
- Willingness to develop a T-shaped skill set, combining deep expertise in quality and observability with broad platform and web engineering knowledge
- Experience with web extensions and their specific monitoring challenges
What Dashlane offers you:
- Equal Parental leave - regardless of gender, up to 20 weeks fully paid leave to take care of their new baby, within the first year of birth or adoption
- Health insurance is covered by Dashlane
- Mentorship program - select your mentor from our internal pool and continue your learning path!
- Commute allowance
- Meal Vouchers (Swile)
- Mental health services through Spring Health for you and your family members
- 4 extra days off (one per quarter) to acknowledge the importance of your wellbeing
- Spot in daycare
- Time off saving account
- Donation matching program - give back to the community and support actions that lead to positive social impact under the historically marginalized communities. Every donation will be matched by Dashlane
- Team buildings & seasonal social events
- Weekly lunch in the office and monthly happy hour
- and many more!
Diversity, Equity, Inclusion and Belonging at Dashlane:
As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs. See more about this here.
Your interview experience:
To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.
Ready to apply?
Apply to Dashlane
About Dashlane
Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally.
We're looking for people who actively use AI tools to drive efficiency, creativity, and impact in their work. At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane, including how we work, how we hire, and the benefits of being a Dashlaner.
About the role
We are seeking a Staff Engineer - Web Platform to elevate the reliability, performance, and quality-by-design of Dashlane’s Web Platform. This is a high-impact technical leadership role, shaping long-term architectural direction while enabling teams to deliver faster and more confidently at scale.
As a Staff Engineer, you will act as a trusted advisor and technical multiplier, designing platform-level quality and observability capabilities, influencing engineering decisions across teams, and embedding a security-first, reliability-driven culture. You will combine deep expertise in quality and testing with broad web and platform engineering knowledge to drive sustainable, measurable improvements to our engineering standards and user experience.
Location:
You will be based in Lisbon, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. Our model is designed to strengthen team connections while supporting individual productivity and work-life balance. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.
About our stack:
-
Programming language: Typescript, Javascript, React, RxJS
-
Quality: Sonarqube, ESLint
-
Testing: Jest, Karma, WebdriverIO, Cucumber
-
Build: Webpack
-
Versioning: Gitlab
-
Monitoring: ELK, Tableau
-
Documentation and tooling: Confluence, Gitlab, Zoom, Slack
-
Misc: Gitlab CI, PNPM, Miro
At Dashlane you will:
- Drive the long-term technical vision for Web Platform quality and reliability, shaping architecture with a strong focus on performance, testability, security, and quality-by-design.
-
Design and enable platform-level quality capabilities (testing frameworks, observability standards, CI/CD guardrails, and tooling) that empower multiple teams to ship faster, safer, and with higher confidence.
-
Act as a technical leader and multiplier, identifying systemic gaps, driving high-leverage improvements, and ensuring measurable outcomes in Web Platform reliability, stability, and engineering standards.
-
Define, implement, and evolve SLIs and SLOs from a web perspective, ensuring reliability and performance targets are aligned with user experience and business priorities.
-
Raise the engineering bar across teams by coaching, mentoring, and influencing engineers, while continuously learning and sharing knowledge to foster a culture of technical curiosity, craftsmanship, security, and engineering excellence.
-
Partner closely with Product Managers, Engineering Managers, and cross-functional teams, influencing prioritization and decision-making by clearly articulating trade-offs between engineering excellence and business needs.
-
Lead and optimize end-to-end testing strategies, improving test effectiveness, execution speed, and confidence in production releases at scale.
-
Serve as a bridge across teams, pairing with engineers and collaborating in a highly ownership-driven environment where quality and reliability are shared responsibilities.
Requirements:
- 6+ years of experience in software development
- 3+ years of experience with JavaScript or TypeScript development
- 3+ years of experience with frameworks such as React, AngularJS or VueJS
- 4+ years of experience working in a product-focused company
- Ability to work collaboratively in a team
- Fluency in English
We're Also Looking For:
- Prior experience defining and implementing SLIs and SLOs from web perspective, with a focus on performance, reliability, and user experience
- Strong knowledge of end-to-end testing best practices and test framework optimization to improve quality and execution speed
- Willingness to develop a T-shaped skill set, combining deep expertise in quality and observability with broad platform and web engineering knowledge
- Experience with web extensions and their specific monitoring challenges
What Dashlane offers you:
- Flex Benefits - allocate a monthly amount to a pool of benefits
- Health insurance covered by Dashlane
- 5 extra vacation days each year, plus your birthday off
- Company wide well-being days (one per quarter)
- Equal Parental leave - up to 20 weeks fully paid leave, within the first year of birth or adoption
- Work schedule exemption - plan your work schedule in alignment with your manager
- Donation matching program - Dashlane will match your donations to organizations driving positive impact in historically marginalized communities
- Access mental health services through Spring Health, available for you and your family members
- Team building & social events - weekly lunch in the office and monthly happy hour
- and much more
Diversity, Equity, Inclusion and Belonging at Dashlane:
As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs. See more about this here.
Your interview experience:
To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.
Ready to apply?
Apply to Dashlane
About Dashlane
Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally.
We're looking for people who actively use AI tools to drive efficiency, creativity, and impact in their work. At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane, including how we work, how we hire, and the benefits of being a Dashlaner.
About the role
We are seeking a Staff Engineer to elevate the reliability, performance, and quality-by-design of Dashlane’s Web Platform. This is a high-impact technical leadership role, shaping long-term architectural direction while enabling teams to deliver faster and more confidently at scale.
As a Staff Engineer, you will act as a trusted advisor and technical multiplier, designing platform-level quality and observability capabilities, influencing engineering decisions across teams, and embedding a security-first, reliability-driven culture. You will combine deep expertise in quality and testing with broad web and platform engineering knowledge to drive sustainable, measurable improvements to our engineering standards and user experience.
Location:
You will be based in Lisbon, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. Our model is designed to strengthen team connections while supporting individual productivity and work-life balance. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.
About our stack:
-
Programming language: Typescript, Javascript, React, RxJS
-
Quality: Sonarqube, ESLint
-
Testing: Jest, Karma, WebdriverIO, Cucumber
-
Build: Webpack
-
Versioning: Gitlab
-
Monitoring: ELK, Tableau
-
Documentation and tooling: Confluence, Gitlab, Zoom, Slack
-
Misc: Gitlab CI, PNPM, Miro
At Dashlane you will:
- Drive the long-term technical vision for Web Platform quality and reliability, shaping architecture with a strong focus on performance, testability, security, and quality-by-design.
-
Design and enable platform-level quality capabilities (testing frameworks, observability standards, CI/CD guardrails, and tooling) that empower multiple teams to ship faster, safer, and with higher confidence.
-
Act as a technical leader and multiplier, identifying systemic gaps, driving high-leverage improvements, and ensuring measurable outcomes in Web Platform reliability, stability, and engineering standards.
-
Define, implement, and evolve SLIs and SLOs from a web perspective, ensuring reliability and performance targets are aligned with user experience and business priorities.
-
Raise the engineering bar across teams by coaching, mentoring, and influencing engineers, while continuously learning and sharing knowledge to foster a culture of technical curiosity, craftsmanship, security, and engineering excellence.
-
Partner closely with Product Managers, Engineering Managers, and cross-functional teams, influencing prioritization and decision-making by clearly articulating trade-offs between engineering excellence and business needs.
-
Lead and optimize end-to-end testing strategies, improving test effectiveness, execution speed, and confidence in production releases at scale.
Requirements:
- 6+ years of experience in software development
- 3+ years of experience with JavaScript or TypeScript development
- 3+ years of experience with frameworks such as React, AngularJS or VueJS
- 4+ years of experience working in a product-focused company
- Ability to work collaboratively in a team
- Fluency in English
We're Also Looking For:
- Prior experience defining and implementing SLIs and SLOs from web perspective, with a focus on performance, reliability, and user experience
- Strong knowledge of end-to-end testing best practices and test framework optimization to improve quality and execution speed
- Willingness to develop a T-shaped skill set, combining deep expertise in quality and observability with broad platform and web engineering knowledge
- Experience with web extensions and their specific monitoring challenges
What Dashlane offers you:
- Flex Benefits - allocate a monthly amount to a pool of benefits
- Health insurance covered by Dashlane
- 5 extra vacation days each year, plus your birthday off
- Company wide well-being days (one per quarter)
- Equal Parental leave - up to 20 weeks fully paid leave, within the first year of birth or adoption
- Work schedule exemption - plan your work schedule in alignment with your manager
- Donation matching program - Dashlane will match your donations to organizations driving positive impact in historically marginalized communities
- Access mental health services through Spring Health, available for you and your family members
- Team building & social events - weekly lunch in the office and monthly happy hour
- and much more
Diversity, Equity, Inclusion and Belonging at Dashlane:
As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs. See more about this here.
Your interview experience:
To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.
Ready to apply?
Apply to Dashlane
DevSecOps Engineer
Share this job
About Tripadvisor
The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.
Tripadvisor Experiences (Viator) is the world's leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore—everything from simple tours to extreme adventures (and everything in between) —making memories that will last a lifetime has never been easier.
We are looking for a hands-on DevSecOps Engineer II (AWS) to be the first line of defense for the Tripadvisor Experiences platform. This is a critical mid-level role that blends proactive security engineering with reactive incident response. You will live and breathe in our product's cloud environment, monitoring for threats, responding to security incidents, automating defenses, and working closely with our engineering teams to build a more resilient platform.
Job Location: Hybrid. This role is a flexible hybrid position in Portugal. Occasional travel to company offices in Lisbon as necessary.
Skills & Experience:
- AWS Security Operations: Hands-on experience securing a production environment in AWS. You must be comfortable with its core security services (e.g., GuardDuty, Security Hub, WAF, CloudTrail).
- AWS Cloud Infrastructure: A good understanding of core AWS services beyond just security tools (e.g., VPC networking, EC2, RDS, S3, Lambda, EKS). You must be capable of understanding and spinning up a full infrastructure stack to effectively secure it.
- Infrastructure as Code: Proficiency with Terraform for managing and securing cloud infrastructure. You should be able to read, write, and review Terraform code, ensuring that the infrastructure you define is secure by design.
- Incident Response: Proven experience with the full lifecycle of security incidents, from initial detection and analysis to containment, remediation, and post-mortem.
- Scripting for Automation: Proficiency in at least one scripting language (e.g., Python, Go, Bash) to automate security operations and analysis tasks.
- Application Security Fundamentals: A solid understanding of common web application vulnerabilities (OWASP Top 10) and how to defend against them.
- Demonstrated ability to use AI tools to improve efficiency, quality, and decision-making in day-to-day work.
- Proven ability to operate effectively with a global-first mindset.
What You’ll Do:
Product-Focused Incident Response:
- Monitor, analyze, and investigate security alerts originating from our AWS infrastructure, application logs, and security tooling (WAF, SIEM, Cloud-Native tools).
- Respond to security incidents that directly impact the Tripadvisor Experiences application, such as potential data breaches, application-layer attacks, or infrastructure compromises.
- Triage vulnerabilities reported through our bug bounty program and other external sources.
Security Engineering & Automation:
- Build and maintain security monitoring and alerting capabilities within our production environment.
- Automate security operations tasks using scripting languages like Python or Go to improve our detection and response times.
- Configure, tune, and help manage security tools like our Web Application Firewall (WAF), AWS GuardDuty, and Security Hub.
Vulnerability Management & Collaboration:
- Operationalize findings from application security tools (SAST, DAST, SCA) by working with engineering teams to prioritize and remediate vulnerabilities in our codebase and dependencies.
- Conduct threat modeling for new features to identify and mitigate risks before they reach production.
- Collaborate with engineering teams and provide guidance on secure coding practices and architecture.
What We Offer:
- Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
- “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team.
- Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
- Donation matching. Give back? Give more! We match qualifying charitable donations annually.
- Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.
- Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
- Travel perks. We believe that travel is employee development, so we provide discounts and more.
- Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges.
- Health benefits. We offer great coverage and competitive premiums.
Our Cultural Pillars:
Traveler first
We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us.
Execution is our edge
We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges.
We succeed together
The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.
Discover more in our Tech Blog, for an inside look into some of our exciting and ground-breaking technical projects across the Tripadvisor Group.
Tripadvisor Group also champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands.
Equal Opportunity and Accessibility
Tripadvisor is firmly and passionately an equal opportunity employer. All applicants will receive consideration for employment without regard to race, colour, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.
If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!
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Machine Learning Engineer
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ComplyAdvantage Technology
At Comply, we are building cutting-edge solutions that help prevent money flowing to and from bad actors to create a safer world. Your work will allow our customers to find out who is associated with crimes, financial and political risks, what that association is, and when it occurred, and it will dynamically update their state as new information emerges across a huge range of sources.
What you will be doing
As a Machine Learning Engineer, you will:
- Build/train and productionize machine learning models for your squad
- Build capabilities to monitor model performance and feature drift
- Where appropriate re-use public models and techniques such as prompt engineering and RAG to reduce time to value
- Collaborate with other software engineers in a cross functional team to design and implement intelligent services
- Design software with scale, transparency and ease of operation in mind, writing maintainable, performant and well-tested code in Python
- Integrate ML models into new and existing data pipelines to drive positive impacts for CA’s customers, including feature engineering as well as building APIs and consuming and producing event streams as inputs and outputs of models
Our Tech Stack:
- Our technology stack is designed to run on public cloud architectures, notably AWS and GCP
- We use Python and Kotlin in the backend and TypeScript, ES6 and React in the frontend
- We make substantial use of modern database technologies (eg. Yugabyte) as well as Spark and cloud based object stores for big data processing
- We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol
- Our data and AI teams use a wide range of machine learning libraries, large scale hybrid columnar data stores such as Databricks, Spark for stream and big data processing in combination with Kafka, as well as some graph databases
- We use modern observability solutions (Grafana) and deploy our code using ArgoCD
We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.
About you:
- Experience maintaining and scaling machine learning-powered applications in production environments.
- Experience building scalable backend applications (preferably with Python).
- A track record of working in multi-disciplinary teams alongside Data Scientists, ML Engineers, and Product Managers.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) or with containerized infrastructure (e.g., Kubernetes, Docker, ArgoCD, Argo Workflows).
- Strong communication skills and a collaborative mindset, with the ability to contribute to system design discussions and mentor more junior engineers.
Nice to have:
- Experience working with PySpark or other distributed data processing frameworks.
- Background in building data-intensive applications or distributed systems using map-reduce style architectures.
- Familiarity with event-driven or microservice architectures.
What’s in it for you?
- Equity as we want you to have a part of what we are building
- Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
- Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best
- We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
- You will also get a new starter budget to kit out your home office
- Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve
- Annual learning budget (prorated based on start date) to drive your performance and career development
About us:
Our mission is to empower every business to eliminate financial crime.
By harnessing AI, a unified platform, and an extensive partner ecosystem, we help customers turn compliance into a catalyst for growth, operational resilience, and enduring regulatory trust.
More than 3,000 enterprises across 75 countries rely on our end-to-end platform and the world’s most comprehensive financial crime risk intelligence. With full-stack agentic automation, we help organizations automate up to 95% of KYC, AML, and sanctions reviews, cut onboarding times by 50%, reduce false positives by 70%, and handle 7x more work with the same staff.
ComplyAdvantage is headquartered in London and has global hubs in New York, Lisbon, Singapore, and Cluj-Napoca. It is backed by Balderton Capital, Index Ventures, Ontario Teachers’ Pension Plan, Goldman Sachs, and Andreessen Horowitz. Learn more about compliance re-engineered for the age of AI at complyadvantage.com.
Ready to apply?
Apply to ComplyAdvantage
Systems Engineer
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About us
At GoCardless we believe bank payments are the best way to pay and get paid. We also believe that bank account data is a powerful tool to make better, faster decisions. We’re making it easy to use both- for businesses everywhere.
GoCardless is used for domestic and international payments by 75,000+ organisations and counting, processing more than $30 billion across 30 countries. We’re an award-winning London based fintech, with additional offices in Riga, Paris, Melbourne and New York.
And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!
The role
Your mission is to operate the technical and tooling capabilities of our front-line Operations teams, focusing on optimising and improving team efficiency. The teams you support will include Customer Operations, KYC and Compliance, and Internal Operations (Billing and Credit Control).
Our technologies
We endeavour to build simple, reliable systems and believe in using the best technologies for each task. Joining the team, you'll be working with Zendesk, Salesforce, Looker, Qualtrics, and Ruby (to overcome any system limitations).
You're not expected to have expertise in all these technologies. Our team members picked up the tools once they started working with the team. If you're unsure, but you’ve got a broad base of experience with other SAAS tools, please apply.
About the Service Management Team
The new Service Management is responsible for improving our processes, efficiency, and use of technology in serving our customers. Our aim is to create experiences that delight, while being as efficient as possible. We focus on everything from refining processes as we scale, automating as much as we can, and deploying AI solutions to handle as much of the work as possible.
We build systems that support everything from onboarding and account queries, through to complex fraud and credit investigations. Consequently, we get to work with a very wide range of GoCardless’s systems. Everything from our big data systems, our core product, 3rd party detection tools, and our customer support and ticketing systems. We get to see our customers through their entire lifecycle on the platform.
This is an ideal for the curious, those who look at something and cannot help but wonder why it works, and how to make it better. This is a role for someone who wants to work with a wide range of other functions, and is always willing to try something new.
What excites you
- You’ll help grow and maintain the internal systems, codebases, and tools being used, ensuring these systems are integrated where required.
- Create, own, and maintain technical process documentation.
- Work with Operations leaders to identify inefficiencies in team and cross-functional processes and take ownership of improving these.
- Be the technical voice for Operations across all other tech functions to enable us to understand how our tooling interacts across the lifecycle.
- Work with other tech functions on supplier integration, sundown, and implementation projects focusing on the technical impact of Operations tooling.
What excites us
- You’ve worked with Zendesk (omnichannel) and Qualtrics as an admin
- You're able to utilise APIs where necessary to overcome system limitations
- You’re familiar with version control tools e.g. Github
- You’re curious and need to understand how everything fits together. If someone can’t tell you the answer, you’ll find a way to figure it out
- You have a proven record of improving internal processes, demonstrated by cost reduction, better customer experience and efficiency improvements
- You’ve written code in Ruby
We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.
Base salary range: €48,000 - €72,000
Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.
(some of) The good stuff
- Wellbeing - stay healthy with dedicated support and medical coverWork away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period
- Adaptive Working - allows you to work flexibly, around your lifestyle
- Equity - all permanently employed GCs get equity to help you make a valuable contribution
- Parental leave - to suit everyone embarking on life's great adventureLearning Budget - lead your own development with an annual learning budget
- Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’)
Life at GoCardless
We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our mission. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Working this way creates the GC magic- the reason we all love showing up to work.
Diversity & Inclusion
We’re building the bank payment network of the future and our ambition is to move money anywhere, for anything, for anyone. If we’re going to achieve this goal, we need to build a team of ‘GeeCee’s’ that is as wonderfully diverse as the world we live in - with a multitude of perspectives, experiences & backgrounds.
We’ve got a long way to go, but here’s how we’re doing as of June 2022;
Female Employees - 46%
Ethnic background - 32%
Identify as LGBTQIA - 10%
Neurodivergent - 9%
We’re rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support.
If you want to learn more, you can read about our Employee Resource Groups and objectives here as well as our latest D&I Report
Sustainability
We’re committed to reducing our impact on the environment, leaving a more sustainable world for future generations. In 2021 we became co-founders of the Tech Zero coalition, a group of businesses committed to taking climate action as part of the UNFCCC Race to Zero. We aim to reduce our impact and to create positive change on the natural world. Check out our sustainability action plan here.
Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.
Ready to apply?
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Software Engineer, iOS Core Product - Lisbon, Portugal
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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 App of the Day.
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
With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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
- Opportunity to lead key engineering and product decisions
- Actively shipping production code for the Speechify iOS app
- Work within a dedicated product team
- Participate in product discussions to shape the product roadmap
- Maintain and enhance the existing complex app architecture
An Ideal Candidate Should Have
- Experience. You've worked on products that scaled to a large user base
- Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
- Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
- Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
- Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
- Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
- Technical skills. Swift, SwiftUI
Technical Requirements:
- Swift Programming Language
- SwiftUI experience
- Experience in Multithreading Programming
- Working with CI/CD infrastructure
- Experience with Fastlane
- SOLID principles, the ability to write every single class according to SOLID
- Experience with Git and understanding of different Git strategies
What We offer:
- A fast-growing environment where you can help shape the company and product
- An entrepreneurial crew that supports risk, intuition, and hustle
- The opportunity to make a big impact in a transformative industry
- A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
- Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
- Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
- Work in one of the fastest growing sectors of tech: 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.
Ready to apply?
Apply to Speechify