Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Technical Support Specialist who will help customers and partners understand and utilize the products and services being offered by Geotab.

The successful candidate must be located in Lisbon and be able to clearly read, write, and communicate in English and French. 

If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Technical Support Specialist, your key area of responsibility will be diagnosing technical issues and providing the necessary support to resolve problems for both hardware and software-related issues within Geotab products (e.g. GO devices), the MyGeotab software platform, and outside partner products. You will need to work closely with partners, customers, sales representatives, and internal teams through various communication mediums including phone, chat, and email. To be successful in this role you will be a team-player with a very strong technical aptitude and a solid knowledge of various programming languages and big data applications. In addition, the successful candidate will have strong analytical and interpersonal relationship building skills, with the ability to manage multiple tasks and projects simultaneously while adapting to growing technology and market demands.

How you'll make an impact:

• Support partners, customers, sales representatives and internal teams through various communication mediums (i.e., phone, chat and email).

• Provide technical expertise on database set up, user management, rules and reporting, device errors, network communications, portal configuration and navigation, product implementation and troubleshooting the Geotab hardware and software applications.

• Coordinate with internal departments on the return/exchange process for Geotab devices and accessories.

• Diagnose and resolve technical hardware and software issues involving connectivity, installation and software inquiries.

• Manage, develop and deliver product service training directly to resellers and customers.

• Provide successful resolution to all customer complaints.

• Report escalating and severe concerns/issues to management.

• Preserve the confidentiality and security of customer data and information.

• Support Geotab global strategic initiatives.

What you'll bring to this role:

Why job seekers choose Geotab:

About the role

We are seeking a motivated and technically proficient Associate Systems Engineer with a strong focus on security technologies to support and enhance our enterprise security posture. This role will work closely with senior engineers and security analysts to implement, maintain, and troubleshoot key security infrastructure components including Data Loss Prevention (DLP), email security platforms, firewalls, VPN solutions, and Cloud Access Security Broker (CASB) tools

Responsabilities

• Assist in the deployment, configuration, and maintenance of DLP solutions to prevent unauthorized data exfiltration across endpoints, email, and cloud platforms.
• Support email security tools (e.g., Proofpoint, Mimecast, Microsoft Defender) to ensure protection against phishing, spam, and malware.
• Monitor and manage firewall policies and rule sets across perimeter and internal firewalls (e.g., Palo Alto, Fortinet, Cisco ASA).
• Maintain and troubleshoot VPN infrastructure (e.g., Cisco AnyConnect, GlobalProtect, OpenVPN) to ensure secure remote access for users.
• Collaborate on the integration and tuning of CASB solutions (e.g., Netskope, McAfee MVISION, Palo Alto, Microsoft Defender for Cloud Apps) to enforce cloud security policies.
• Participate in incident response and troubleshooting efforts related to security infrastructure.
• Document configurations, procedures, and troubleshooting steps for knowledge sharing and compliance.
• Stay current with emerging security threats and technologies relevant to the role.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or related field (or equivalent experience).
• 1–3 years of experience in systems engineering or IT security support.
• Familiarity with DLP platforms (e.g., Symantec, Forcepoint, Microsoft Purview).
• Working knowledge of email security tools and protocols (SMTP, SPF, DKIM, DMARC).
• Basic understanding of firewall technologies, NAT, ACLs, and packet inspection.
• Experience supporting VPN solutions and remote access technologies.
• Exposure to CASB platforms and cloud security concepts.
• Strong troubleshooting and analytical skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Security certifications such as CompTIA Security+, Cisco CCNA Security, or Fortinet NSE.
• Experience with SIEM tools and log analysis.
• Experience with Information Classisification tools like Microsoft IRM, Purview etc.
• Familiarity with scripting (PowerShell, Python) for automation and reporting.
• Hands-on experience with enterprise-grade security tools and technologies. Support for professional development and certifications.

Employees in this role will work fully remote. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

Benefits

iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

About the Role

The Software Engineer at iCapital Network will work end-to-end on new features, enhancements, and defect resolution on one or more of iCapital's software platforms. You will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found via manual test efforts. You will be working with Ruby on Rails for back end and React for front end.

At iCapital, we value expertise in other programming languages and business areas. More than checking the boxes on specific technologies, we are looking for driven team members with technical depth and a desire to deliver end products for our clients. If you are not already familiar with the technologies used at iCapital, you will have the opportunity to pick up these new tools and technologies while on the job—with support from management and mentors.

Responsibilities

• Backend feature development in Ruby (3.6.6) and Rails (6.x) 
• Frontend development in React and Redux
• Unit and integration test development using RSpec, Cucumber, and Capybara 
• Building out prototypes and POCs
• Active participation in daily stand up meetings 
• Active participation in Peer Code Reviews as part of our standard SDLC and Change Management Process

Qualifications

• Degree in Software Engineering
• 6+ years of Full Stack, web-based application development
• 6+ years of development experience with React and Ruby on Rails. Python/Elixir would be a good substitute if less expertise on Ruby
• 6+ years of HTML / CSS development
• Demonstrated understanding of relational database concepts and modeling practices
• Passion for actively learning new technologies
• Ability to work independently or as part of a group effort, as required
• Solid problem solving abilities
• Excellent communication skills
• Collaborative approach to software development
• Fluency in English and Portuguese required — written and verbal

Employees in this role will work fully remote. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

Benefits

iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

About the Role 

The Full Stack Engineer at iCapital will work end-to-end on new features, enhancements, and defect resolution on one or more of iCapital's software platforms. You will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found in manual test efforts.  

Responsibilities 

• Web application development in Typescript as front end and Python as a backend. 

• Strong grasp of system design, architecture, and trade-offs. Able to mentor junior engineers effectively. 

• Participate in architecture reviews and technical design.  

• Active participation in daily stand-up meetings 

• Active participation in Peer Code Reviews as part of our standard SDLC and Change 

Candidate Profile 

• 10+ years software engineering experience building enterprise SaaS cloud-based solutions 

• 7+ years of Python development experience 

• 7+ years of hands-on experience with Typescript 

• Technical leadership/management experience is a plus 

• Demonstrated understanding of relational database concepts and modeling practices. 

• Familiarity with cloud-based technologies – K8S, AWS etc. 

• Ability to work in an Agile / Kanban methodology 

• Ability to work independently or as part of a group effort, as required 

• Solid problem-solving ability 

• Excellent communication skills 

• Collaborative approach to software development 

Employees in this role will work fully remote. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

Benefits

iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

About the role

This role is responsible for owning the performance, reliability, security, and operation of the company’s SQL and NoSQL database platforms.  The role operates within a database team who partners with application engineering, platform, and security teams to ensure databases are scalable, resilient, secure, and observable across all environments.

Responsibilities

Platform Performance & Scalability

• Own end‑to‑end performance of SQL and NoSQL databases across environments, including query optimization, indexing strategies, execution plan analysis, and tuning of database runtime parameters (e.g., PostgreSQL query plans, MongoDB indexes, DynamoDB access patterns).
• Proactively prevent performance regressions through representative load testing, performance analysis tooling, and CI/CD validation gates.
• Partner with application teams on schema design, data modeling, and workload‑driven performance improvements, including relational schemas, document models, and NoSQL access patterns.

Reliability, High Availability & Disaster Recovery

• Design, operate, and harden production‑grade SQL, NoSQL, and document database systems with strong replication, failover, backup/restore, and security controls.
• Define, implement, and validate backup and disaster recovery strategies, including routine restore testing and compliance with RPO/RTO objectives.

Observability & Operational Excellence

• Establish SLIs and SLOs for database health, including latency, error rates, contention, replication lag, storage growth, and cache efficiency across SQL & NoSQL databases.
• Deliver actionable dashboards and alerts and maintain operational runbooks alongside up‑to‑date documentation.
• Lead or participate in production incident response and post‑incident reviews related to database platforms.

Security, Governance & Automation

• Enforce database security best practices in partnership with InfoSec, including least privilege access, RBAC, auditing, encryption, secure secret handling, access reviews, and secure service‑to‑database authentication across SQL and NoSQL data stores.
• Codify database infrastructure and operations using Infrastructure as Code (Terraform) and CI/CD pipelines.
• Standardize baseline configurations, schema migration practices, and operational guardrails across relational, document, and NoSQL databases.

Qualifications

• Hands‑on experience operating production‑scale SQL and NoSQL databases, with strong troubleshooting skills under pressure.
• Experience with managed cloud database services, including SQL and NoSQL databases (e.g., AWS RDS/Aurora PostgreSQL, MongoDB Atlas, DocumentDB, DynamoDB).
• Deep expertise across the following areas like performance tuning, indexing, query optimization, vacuum/auto vacuum,bloat management, data modeling, backup/restore, capacity planning, scalability design, and cost/performance trade‑offs
• Experience with observability, alerting, and operational metrics for data platforms.
• Automation‑first mindset with hands‑on experience in Infrastructure as Code, Gitlab CI/CD pipelines, and repeatable operational runbooks.
• Experience with IAM‑based access controls, KMS/encryption, secrets management, and compliance‑driven governance controls.
• Proven experience developing and maintaining Terraform modules.
• Strong Linux fundamentals and scripting experience (Bash and/or Python).
• Experience with Docker and Kubernetes for database‑adjacent workloads.

Employees in this role will work fully remote. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

Benefits

iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

About the Role

The Platform Infrastructure team at iCapital plays a critical role in keeping the production and development environments running smoothly and securely.  This role will utilize advanced cloud capabilities to facilitate Platform Infrastructure strategy of market agility and lean operating principles with a strict focus on quality to meet the ever-growing demands of our clients. We are seeking highly collaborative, creative and intellectually curious Platform Engineers who are passionate about forming and implementing cutting-edge cloud computing capabilities.  As a Platform Engineer, you will be wearing multiple hats in a highly visible role interacting with all aspects of the business.

Responsibilities

• Proficient in designing, maintaining, and troubleshooting distributed systems, with strong hands-on debugging skills.
• Manage the relationship between the Platform Infrastructure team and the Information Security Team to address and resolve security issues related to the platform, CI/CD pipelines, and development tools.
• Contribute to security best practices by promoting a shift-left approach and fostering a strong security culture within the DevOps/Platform Infrastructure team.
• Develop and maintain tools to support the development environment on MacOS and Linux, with a focus on enhancing developer productivity.
• Maintain site reliability with focus on building highly scalable systems integrating resiliency and high availability at all levels
• Develop software & tooling to secure and automate cloud infrastructure building software delivery capabilities with fully automatic workflows
• Design and operation of a Kubernetes environment for container management and orchestration
• Experience with distributed systems design, maintenance, and hands-on troubleshooting/debugging skills

Qualifications

• 8+ years of DevOps or SRE experience with at least 4 years of AWS experience
• 8+ years of CI/CD pipeline development in GitLab, GitHub, or similar framework.
•  5+ years of experience with security best practices in AWS, including remediating SecurityHub findings.
•  5+ years of experience with DevSecOps tools, including SAST tools, DAST tools, and SCA tools.
• Microservices (Docker, Kubernetes) experience in a production environment strongly desired
• Strong Linux OS-level and command-line/scripting knowledge and configuration management principles
• Working knowledge of databases such as MongoDB, Postgres, DynamoDB. 
• Coding beyond simple scripting with strong opinions on maintainable/reusable code in Python, Ruby or Java desired.
• Experience with compute provisioning on a Cloud based platform using Terraform and/or Cloud formation 
• Exceptional analytical skills, able to apply knowledge and experience in decision-making to arrive at creative and commercial solutions 
• Experience building a Microservice based architecture
• Good written and spoken communication skills
• Able to design and implement complex, but easily managed, automated infrastructure
• Enthusiastic about sharing knowledge, teaching, and learning collaboratively within a team environment
• Experience in system tuning and performance testing.
• AWS certification a plus

Employees in this role will work fully remote. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

Benefits

iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

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

Senior Backend Engineer | ComparaJá.pt – Lisbon (Hybrid)

Job Summary

We are looking for a highly skilled and experienced Senior Backend Engineer to drive the architecture and development of our high-quality software. You will own complex technical features end-to-end, ensuring that our products are built to modern engineering standards while championing a culture of code quality and technical excellence. The ideal candidate will have a deep background in both frontend and backend development, experience providing technical mentorship to fellow engineers, and a passion for optimizing application performance and system scalability.

This is an office role based in Alvalade, Lisbon with flexibility to work remotely.

Key Responsibilities

• Drive the development of high-quality software: Take hands-on ownership of complex backend features from end to end. Write robust code while ensuring solutions meet business requirements and adhere to the highest standards of performance, security, and scalability.
• Optimize the codebase and developer experience: Identify technical debt and continuously improve tooling, build processes, and system architecture to increase engineering efficiency and reduce deployment bottlenecks.
• Mentorship and technical guidance: Provide hands-on support to junior and mid-level engineers. Elevate the team's technical bar through rigorous code reviews, pair programming, and active knowledge sharing.
• Champion modern development standards: Actively write testable, maintainable code and promote engineering best practices, including comprehensive automated testing, CI/CD integration, and clean architecture principles.
• Collaborate across functions: Work closely with product managers, designers, and other stakeholders to seamlessly translate business requirements into technical solutions and ensure a shared vision across the product lifecycle.
• Architectural contribution: Design robust backend systems and help drive technical decisions around tools, APIs, and frameworks, ensuring the long-term scalability and maintainability of the application.
• Innovate and explore: Continuously evaluate new technologies and methodologies to keep our tech stack modern. Leverage emerging tools to rapidly prototype ideas, solve complex problems, and accelerate development.

About You

• Proven experience as a Senior Software Engineer, with a willingness to touch both backend and some frontend application development.
• 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 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, PostgreSQL, all on AWS. The more experience in each the better, but all definitely not necessary.
• Fluency in Portuguese and English is required.

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

Senior Fullstack Engineer | ComparaJá.pt – Lisbon (Hybrid)

Job Summary

We are looking for a highly skilled and experienced Senior Fullstack Engineer to drive the architecture and development of our high-quality software. You will own complex technical features end-to-end, ensuring that our products are built to modern engineering standards while championing a culture of code quality and technical excellence. The ideal candidate will have a deep background in both frontend and backend development, experience providing technical mentorship to fellow engineers, and a passion for optimizing application performance and system scalability.

This is an office role based in Alvalade, Lisbon with flexibility to work remotely.

Key Responsibilities

• Drive the development of high-quality software: Take hands-on ownership of complex full-stack features from end to end. Write robust code while ensuring solutions meet business requirements and adhere to the highest standards of performance, security, and scalability.
• Optimize the codebase and developer experience: Identify technical debt and continuously improve tooling, build processes, and system architecture to increase engineering efficiency and reduce deployment bottlenecks.
• Mentorship and technical guidance: Provide hands-on support to junior and mid-level engineers. Elevate the team's technical bar through rigorous code reviews, pair programming, and active knowledge sharing.
• Champion modern development standards: Actively write testable, maintainable code and promote engineering best practices, including comprehensive automated testing, CI/CD integration, and clean architecture principles.
• Collaborate across functions: Work closely with product managers, designers, and other stakeholders to seamlessly translate business requirements into technical solutions and ensure a shared vision across the product lifecycle.
• Architectural contribution: Design robust full-stack systems and help drive technical decisions around tools, APIs, and frameworks, ensuring the long-term scalability and maintainability of the application.
• Innovate and explore: Continuously evaluate new technologies and methodologies to keep our tech stack modern. Leverage emerging tools to rapidly prototype ideas, solve complex problems, and accelerate development.

About You

• Proven experience as a Senior Software Engineer, with a willingness to touch both backend and frontend application development.
• 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 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, PostgreSQL, all on AWS. The more experience in each the better, but all definitely not necessary.
• Fluency in Portuguese and English is required.

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

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

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

About the Role

As a Software Developer in Test, you will join one of several high-impact teams of QA professionals. You will work on a variety of Veeam products and features, helping us shape the quality of solutions used by companies around the world. During the hiring process, we’ll match your interests and experience with the team and project where you can make the greatest impact.

What You'll Do

• Develop and maintain automated tests for Veeam products
• Collaborate across the software development team
• Enhance frameworks and modules for automated testing
• Contribute to test design and implementation
• Analyze product source code
• Support internal automated testing systems
• Build and manage testing infrastructure
• Analyze test results, and maintain defects database

Technologies You'll Work With

• Python, PowerShell, C# (.Net 6, .Net 8)
• GitLab, Azure Devops, TeamCity
• TestRail

What You'll Bring

• From at least 1 year of experience (junior level) up to 3+ years (middle/senior level) in commercial product testing, test automation, or software development; OR practical hands-on coding experience, without a need for testing expertise but with a strong interest in the testing domain (for junior candidates)
• Programming experience in Python
• Experience with Windows and/or Linux environments
• A strong desire to write high-quality code and develop your skills in programming
• An open mind, common sense, clear logical thinking, and a lively, analytical mindset - you enjoy analyzing and understanding how things work
• English proficiency for daily communication within international teams

Bonus Skills

• C#/.NET Framework and Test Automation: LINQ, NUnit, Selenium WebDriver, testing RESTful APIs using HttpClient
• Experience with PowerShell 
• Experience with Git
• Experience with Jenkins, TeamCity or Azure DevOps
• Cloud platforms experience (AWS, Azure, GCP)

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

Location: UK or Portugal

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 Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context.

You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems.

Your day-to-day responsibilities will look like this:

• Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them
• Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing
• Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
• Mentoring and growing data engineers across the company
• Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships.
• Contributing to proposals and helping shape engagements during the sales process
• Representing YLD externally through writing, speaking, and contributing to the wider data community.

You’ll have the following skills and experience:

• SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance
• Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks
• Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade-offs in terms of flexibility, query performance, and maintainability
• Transformation architecture: You design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
• Pipeline design: You understand batch, streaming, and micro-batch trade-offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem
• Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability
• Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis
• CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments
• Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure
• Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore
• Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
• Cross-functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments

You’ll be:

• Self-motivated and proactive
• Comfortable with ambiguity, experimentation, and iteration
• Collaborative by default. You work well in teams and across teams
• Analytical and detail-oriented in your approach to problems
• Comfortable context-switching across clients, stacks, and problem types
• Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships
• Active in the wider data community: writing, speaking, or open-source contribution
• Genuinely committed to diversity, equity, and inclusion

Benefits you'll get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Company’s Pension Scheme (UK Only)
• 25 days annual holiday (excluding Public Holidays)
• £2000/€2000 annual allowance for Training/Conferences
• £300/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30-45 Minutes)
• Technical Interview with our Senior Developers (90 Minutes)
• Call with the Head of Engineering (60 Minutes)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

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.

This role exists to transform partnerships into a predictable, high-converting acquisition channel, increasing sourced pipeline coverage to sustainable enterprise levels. Drive partner-sourced pipeline and ARR by operationalizing repeatable lifecycle, campaign, and co-sell motions across Tier 1 SIs and strategic ISVs.

How You'll Make an Impact:

Partner Lifecycle Ownership & Pipeline Acceleration

• Design and execute quarterly joint business plans and co-sell motions to drive sourced pipeline output across the partner portfolio
• Design and execute partner-led campaigns and co-sell playbooks to generate net-new opportunities.
• Operationalize execution cadence, including executive alignment and joint account planning.
• Primary KPI: Incremental sourced pipeline generated per partner.

Commercial Cadence, Forecasting, & Campaign Integration

• Manage the sourced pipeline weekly, driving forecast discipline and aligning with Sales Directors on pipeline commit and best-case scenarios.1
• Track partner-influenced opportunities, identifying stalled deals and deploying targeted intervention strategies.1
• Partner closely with ISV and Marketing teams to activate joint campaigns, ensuring velocity and tracking ROI to translate marketing commitments into measurable pipeline output.

Performance Visibility & Strategic Reporting

• Establish rigorous partner-level pipeline tracking and quantify the impact of activation on pipeline uplift.
• Drive strategic improvements in pipeline coverage and surface data-driven, capital-efficient growth levers to executive leadership.

You'll Enjoy This Role If You Have:

• A commercially-driven mindset with a strong bias for analytical execution.
• Direct experience in partner ecosystems, co-sell programs, or revenue-driving strategic alliances.
• Expertise in cross-functional collaboration (Sales, Marketing, RevOps) and proven ability to drive action across internal and external teams.
• A proactive, results-oriented approach, leveraging data to drive insights and influence partners for measurable outcomes.
• Fluency in data modeling (SQL & BI Tooling), KPI development, and reporting/dashboard creation to translate findings into strategic recommendations.
• Experience with Python for statistical and scoring analyses (preferred).

#LI-IA1 #LI-Remote

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

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What we offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

We’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

Datadog is committed to open source. It starts with our Agent, tracers, libraries, and SDKs all being open source. But it goes so much further. From open standards to open collaboration, it’s a core part of who we are and what we do. As part of the Open Source Program Office (OSPO), you will be focusing on building tools, documentation, policies, etc. that improve how our engineers interact with Open Source projects (our own and third-party projects), as well as representing Datadog in Open Source communities. 

What You’ll Do: 

• Build and maintain tools that ease building and releasing Open Source software at Datadog
• Build and maintain tools that ease ingesting Open Source software at Datadog
• Create developer facing documentation and training materials around contributing to open source and maintaining open source projects
• Interface with open source communities to understand problems and trends in the market
• Create tools to automatically analyze and report on Open Source repositories trends and statistics
• Interface with Datadog Open Source Partners candidates and recipients to select new projects for the program and ensure that the program stays useful
• Research and write content for the Datadog Open Source Hub
• Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code

Who You Are: 

• Approximately 3+ years of experience as a software developer, SRE, or other practitioner.
• You are fluent in reading and writing one or more languages, e.g. Python, JavaScript, Java, Go, C#, Rust, and so on.
• You love building tools that make other engineers more productive.
• You have empathy, collaboration, and communication skills to cultivate strong relationships across various teams in the organization.
• Bonus: You are (or have been) an active member of an open source community.
• Bonus: You are familiar with different Open Source licenses and Contributor License Agreements 

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-Remote

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

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

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

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

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

#LI-Remote

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in 11 countries, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. 

Join us in redefining the future of wellbeing!

THE OPPORTUNITY

We are hiring a Director of Security Engineering for our Information Security team in Portugal! This is a Remote – Portugal position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in Brazil. 

The Information Security team is responsible for protecting our subscription-based product serving millions of users. As a Director of Security Engineering, you will be the technical leader driving application security, DevSecOps practices, and security engineering across our 10 product verticals. This is a unique opportunity to build security capabilities in a high-growth environment. You will help construct the technical security strategy, architect security solutions, lead threat modeling, and establish secure development practices across all engineering teams. The role requires deep technical expertise in application security, cloud security, and modern DevSecOps practices.In this capacity, you will serve as the primary architect for our security engineering roadmap, ensuring that protection is integrated at every stage. You will oversee the deployment of automated security tooling, mentor senior engineers in advanced vulnerability research, and partner with product leaders to balance rapid feature delivery with robust risk mitigation. Your leadership will be pivotal in scaling our security posture to meet the demands of a global, multi-vertical ecosystem while fostering a culture of shared security responsibility.

YOUR IMPACT 

• Lead the technical security strategy for product and application security, defining architecture standards, security baselines, and secure coding guidelines aligned with OWASP ASVS, NIST SSDF, and BSIMM frameworks.
• Architect and implement a comprehensive DevSecOps pipeline, integrating SAST, DAST, SCA, and container scanning across all CI/CD pipelines serving 10 product verticals.
• Drive threat modeling practices across critical product flows, partnering with engineering leads to identify and mitigate security risks before they reach production.
• Design and implement a centralized security telemetry architecture, connecting application logs, WAF events, and fraud signals into a unified SIEM platform for real-time detection.
• Lead the technical evaluation, selection, and implementation of security tools (SAST/DAST, SIEM/SOAR, PAM, API Gateway security, container security scanners).
• Establish and mentor a team of 7-8 embedded DevSecOps engineers across product verticals, providing technical guidance and ensuring consistent security standards.
• Own the technical roadmap for reducing MTTD from >48h to <1h and fraud detection from D+1 to real-time through security engineering and automation.
• Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

WHO YOU ARE 

• A seasoned security engineer with experience in application security, cloud security, or security engineering, with at least 4 years in a senior technical leadership role.
• Deep expertise in secure software development lifecycle (SSDLC), threat modeling (STRIDE, PASTA), and security architecture for distributed systems and microservices.
• Hands-on experience with security tooling: SAST (Checkmarx, Snyk, SonarQube), DAST (Burp Suite, OWASP ZAP), SCA, container scanning (Trivy, Prisma), and SIEM platforms (Elastic, Splunk, Sentinel).
• Extensive knowledge of cloud security (AWS and/or GCP), including IAM, VPC security, secrets management, and container orchestration security (Kubernetes/EKS).
• Experience building and scaling DevSecOps programs, integrating security into CI/CD pipelines, and mentoring engineering teams on secure coding practices.
• Proficiency in at least two programming languages (Python, Go, Java, or JavaScript) with the ability to review code, write security tooling, and automate security workflows.
• Familiarity with compliance frameworks (ISO 27001, PCI DSS, LGPD/GDPR) and how they translate into technical security controls.
• Effective communication skills (Portuguese and English) to translate complex technical security concepts into actionable guidance for engineering teams at all levels.
• We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%.
• For this specific role, please note that prior experience in application security engineering and DevSecOps pipeline implementation is a mandatory requirement.

WHAT WE OFFER YOU

With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life. Our benefits include:

WELLHUB:  Free Gold membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you. 

HEALTHCARE: Health insurance.

FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. We offer all employees a one-time reimbursement to set up their home office equipment and a monthly work allowance to help cover the costs of working from home.

FLEXIBLE SCHEDULE:  Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.

PAID TIME OFF: We know how important it is to take time away from work to recharge. Employees receive a minimum of 25 days paid holiday per year with an additional day for each year of tenure (up to 5) in addition to annual holidays (including an extra holiday on your birthday!).

PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.  

CAREER GROWTH: Access world-class platforms, participate in interactive sessions,  build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success. 

CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here. 

And to get a glimpse of life at Wellhub… Follow us on Instagram @lifeatwellhub and LinkedIn!

Diversity, Equity, and Belonging at Wellhub

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong. At Wellhub, we welcome and celebrate your authentic self.

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.

Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos. 

#LI-REMOTE

#LI-CM1

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 looking for a Senior Lead, People Analytics to advance our data-driven approach to talent and workforce strategy. In this highly impactful individual contributor role, you will own and drive high-priority analytics initiatives that influence how we attract, engage, develop, and retain top talent. You’ll partner closely with HR, Finance, and business leaders to translate workforce data into actionable insights that inform decision-making and elevate the employee experience at Upwork. This is an opportunity to operate as a strategic thought partner, delivering sophisticated analysis that directly influences executive-level decisions and long-term workforce planning.

Your Responsibilities:

• Lead end-to-end people analytics initiatives, from problem framing and hypothesis development to analysis, insight generation, and executive-level presentation.

• Design and implement scalable data models and analytical frameworks across talent acquisition, engagement, performance, workforce planning, and retention.

• Identify, evaluate, and champion AI and machine learning tools that enhance how we surface workforce insights, automate repetitive reporting tasks, and develop predictive models for attrition, hiring, and performance outcomes.

• Experiment with and integrate AI-assisted analysis — including the use of large language models and generative AI tools — to accelerate insight generation, improve narrative quality, and scale the team's analytical output.

• Partner with HR and business leaders to translate workforce data into strategic and actionable recommendations.

• Build and maintain dashboards, reporting tools, and scalable self-service analytics capabilities that increase data accessibility and adoption.

• Identify and remediate data quality gaps within Workday and related systems, strengthening the integrity and reliability of people data.

• Communicate nuanced analyses in a clear and compelling way to diverse stakeholders, from HR partners to executives.

• Leverage external benchmarks, industry trends, and best practices to inform Upwork’s people strategy.

• Ensure data integrity and compliance with privacy regulations while continuously improving data collection and analysis processes.
  
  

What it takes to catch our eye:

• Strong background in People Analytics, Workforce Analytics, or a related field with a proven track record of delivering strategic, business-impacting insights.

• Hands-on experience with Workday HCM, including building and maintaining advanced or custom reports, leveraging calculated fields, and improving data quality and reporting structures.

• Experience with Qualtrics and Greenhouse is a plus.

• Proficiency in analytics tools such as SQL, Python, R, Tableau, or similar platforms.

• Curiosity and hands-on experience with AI tools — including experience using LLMs, AI-assisted coding tools (e.g. GitHub Copilot), or ML frameworks to enhance analytical workflows or build predictive models.

• A forward-thinking mindset with a demonstrated ability to identify where AI and automation can meaningfully improve how people data is gathered, analyzed, and acted upon.

• Strong business acumen and ability to connect data insights to strategic objectives.

• Ability to independently lead and prioritize multiple high-impact initiatives in a fast-paced environment.

• Excellent communication skills, with the ability to distill complex analyses into clear, actionable recommendations.

• A passion for leveraging data to drive equity, inclusion, and positive employee experiences.

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 role will require 3 days in office once we have an office open.

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.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

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 and the Applicant Privacy Addendum (EEA, UK, and Switzerland).

The annual base salary range for this position is displayed below. Individual base pay will depend on your skills, qualifications, experience, and location. Additionally, this position is eligible for the annual bonus plan or sales incentive plan and eligibility to participate in our long term equity incentive program.

Annual Base Compensation
€63.000 - €79.000 EUR

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 looking for a Senior Lead, People Analytics to advance our data-driven approach to talent and workforce strategy. In this highly impactful individual contributor role, you will own and drive high-priority analytics initiatives that influence how we attract, engage, develop, and retain top talent. You’ll partner closely with HR, Finance, and business leaders to translate workforce data into actionable insights that inform decision-making and elevate the employee experience at Upwork. This is an opportunity to operate as a strategic thought partner, delivering sophisticated analysis that directly influences executive-level decisions and long-term workforce planning.

Your Responsibilities:

• Lead end-to-end people analytics initiatives, from problem framing and hypothesis development to analysis, insight generation, and executive-level presentation.

• Design and implement scalable data models and analytical frameworks across talent acquisition, engagement, performance, workforce planning, and retention.

• Identify, evaluate, and champion AI and machine learning tools that enhance how we surface workforce insights, automate repetitive reporting tasks, and develop predictive models for attrition, hiring, and performance outcomes.

• Experiment with and integrate AI-assisted analysis — including the use of large language models and generative AI tools — to accelerate insight generation, improve narrative quality, and scale the team's analytical output.

• Partner with HR and business leaders to translate workforce data into strategic and actionable recommendations.

• Build and maintain dashboards, reporting tools, and scalable self-service analytics capabilities that increase data accessibility and adoption.

• Identify and remediate data quality gaps within Workday and related systems, strengthening the integrity and reliability of people data.

• Communicate nuanced analyses in a clear and compelling way to diverse stakeholders, from HR partners to executives.

• Leverage external benchmarks, industry trends, and best practices to inform Upwork’s people strategy.

• Ensure data integrity and compliance with privacy regulations while continuously improving data collection and analysis processes.
  
  

What it takes to catch our eye:

• Strong background in People Analytics, Workforce Analytics, or a related field with a proven track record of delivering strategic, business-impacting insights.

• Hands-on experience with Workday HCM, including building and maintaining advanced or custom reports, leveraging calculated fields, and improving data quality and reporting structures.

• Experience with Qualtrics and Greenhouse is a plus.

• Proficiency in analytics tools such as SQL, Python, R, Tableau, or similar platforms.

• Curiosity and hands-on experience with AI tools — including experience using LLMs, AI-assisted coding tools (e.g. GitHub Copilot), or ML frameworks to enhance analytical workflows or build predictive models.

• A forward-thinking mindset with a demonstrated ability to identify where AI and automation can meaningfully improve how people data is gathered, analyzed, and acted upon.

• Strong business acumen and ability to connect data insights to strategic objectives.

• Ability to independently lead and prioritize multiple high-impact initiatives in a fast-paced environment.

• Excellent communication skills, with the ability to distill complex analyses into clear, actionable recommendations.

• A passion for leveraging data to drive equity, inclusion, and positive employee experiences.

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

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.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

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 and the Applicant Privacy Addendum (Canada). 

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.

Upwork’s Marketing Analytics team is focused on optimizing our growth engines through rigorous experimentation and data-driven decision making. This role sits at the intersection of product and marketing, driving measurement and experimentation across the customer funnel to improve acquisition, engagement, and conversion. You will partner cross-functionally with product, marketing, SEO, and data science teams to design experiments, analyze user behavior, and build frameworks that inform growth strategy. This role also supports understanding organic discovery, including traditional search and emerging AI-driven discovery surfaces.

Your Responsibilities:

• Organic & AI Discovery Analytics: Support analysis of organic channels, including SEO and emerging AI-driven discovery (e.g., ChatGPT, Gemini). Evaluate performance signals such as engagement, traffic, and visibility.
• Strategic Communication: Present insights and recommendations to marketing leadership, influencing growth strategy and prioritization.
• Experimentation & Testing: Design, execute, and analyze A/B and incrementality tests. Define hypotheses, success metrics, and test duration, and conduct deep post-test analysis to inform decisions.
• Drive insights that improve conversion, engagement, and overall growth.
• Data Extraction & Technical Analysis: Extract and analyze large datasets using SQL, Python, or R to support experimentation, user behavior analysis, and growth initiatives.
• Experimentation Tooling: Utilize platforms such as Statsig, Optimizely, VWO, or similar tools to implement and monitor experiments across experiences.
• SEO Tooling: Leverage tools such as Google Search Console, SEMrush, Ahrefs, or similar to explore keyword performance and on-site engagement trends.

What it takes to catch our eye:

• A degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.
• Proven experience designing and executing experiments (A/B, multivariate, incrementality), including hypothesis development, metric definition, sample sizing, and post-test analysis.
• Experience in marketing or growth analytics, with a strong focus on customer funnels, acquisition, and conversion optimization. Experience with organic search and SEO analytics.
• Technical Proficiency: Strong SQL skills and proficiency in Python or R for analyzing large datasets and supporting experimentation and analytics workflows.
• Experimentation Tools: Experience with platforms such as Statsig, Optimizely, VWO, or similar tools used to run and monitor experiments.
• BI tools such as Looker or Tableau. (SEO-specific tools are a plus, e.g., Google Search Console, SEMrush, Ahrefs, Botify, Screaming Frog)
• Testing & Statistical Knowledge: Strong foundation in experimental design, statistical significance, and methods to measure incremental impact.
• Marketplace Context: Previous experience in a two-sided marketplace or consumer tech environment will be highly regarded.

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

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.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

What You'll Do

• Manage the day-to-day operations of the Security Operations Center (SOC), including triaging, investigating, and resolving security incidents.
• Collaborate with other security teams to develop and implement security monitoring policies and procedures.
• Develop and maintain a comprehensive understanding of the organization's infrastructure, applications, and security controls.
• Ensure that security incidents are properly documented and reported in a timely manner.
• Manage relationships with external vendors and service providers that support the SOC.

What You'll Need

• MSc degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience in a Security Operations Center environment, with at least 2+ years in a security engineering role.
• Hands-on experience with security monitoring technologies including EDR, Zscaler (ZPA/ZIA/ZDX), and Palo Alto firewalls.
• Strong understanding of EDR and WAF solutions, as well as Zscaler and Palo Alto firewall technologies.
• Knowledge of network protocols and infrastructure.
• Excellent analytical and problem-solving skills.
• Basic knowledge of Python programming or automation.
• Ability to communicate complex technical issues to non-technical stakeholders.
• Strong interpersonal skills as well as excellent written and verbal communication skills.

Preferred Qualifications

• Experience working in a global or multi-region security operations environment.
• Familiarity with SIEM platforms and log management tools.
• Exposure to threat intelligence and vulnerability management practices.
• Relevant security certifications (e.g., CompTIA Security+, CEH, GCIA, or similar).

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

Scopely is looking for a Principal Security Engineer to join our Information Security team in Spain/Portugal on a hybrid basis.

Our security team is dedicated to ensuring the security of our top games. This involves collaborating closely with game studios to develop and implement comprehensive security strategies throughout the game design and development lifecycle.

In addition, this role will drive the application of AI to transform how security is delivered across Product Security, Security Operations, and Security Engineering, improving efficiency, scalability, and impact.

What You Will Do

Game & Product Security Leadership

• Partner with game studios to develop comprehensive security strategies for game design and development
• Conduct threat modeling, vulnerability assessments, and security audits across all phases of game development
• Design and implement security controls and countermeasures to mitigate risks and ensure compliance with company policies, standards, and industry norms
• Collaborate with game teams to advocate for secure coding practices and integrate security at every level of the software development lifecycle
• Coordinate and participate in penetration tests and game feature security assessments
• Provide expert-level technical guidance to game teams to assist in securing games and backend infrastructure
• Translate business priorities, technical constraints, and threat intelligence into actionable security roadmaps

AI-Driven Security Transformation & Automation

• Identify and implement opportunities to apply AI to:
• Vulnerability triage, prioritization, and remediation
• Security operations workflows (alert analysis, investigation, response)
• Product security processes (code analysis, findings analysis, pentesting support)
• Build AI-driven workflows, tools, and agents to reduce manual effort and improve speed and accuracy
• Use AI to improve vulnerability management through triage support, risk classification, remediation guidance, and findings analysis
• Partner with Security Operations to improve detection, triage,investigation and response through automation and AI-assisted analysis
• Integrate AI capabilities into existing security platforms (e.g., Wiz, SIEM, Jira, IAM systems)
• Develop reusable AI-enabled components that scale across teams and studios
• Establish practical guardrails for the safe and effective use of AI in security, including data handling, quality control, and human review
• Define success metrics for AI-enabled workflows, including productivity gains, response times, remediation throughput, and signal quality

Security Engineering & Platform Enablement

• Design and implement scalable security solutions across cloud and backend systems
• Work closely with information security domain owners to ensure games adhere to all relevant security policies, standards, and regulatory requirements
• Develop and maintain comprehensive documentation on security architectures, processes, and decisions for technical and non-technical stakeholders
• Improve security engineering efficiency through automation and tooling
• Stay updated with the latest security technologies, trends, threats, and AI capabilities, continuously improving security practices

Stakeholder Engagement & Leadership

• Frequently interact with game studio leaders to understand their roadmaps, risk posture, and how information security can enable them to execute their vision securely
• Develop security-related roadmaps in partnership with game teams
• Regularly report to Information Security and Studio management on the threat landscape and security posture of games
• Act as a thought leader using both qualitative and quantitative risk assessment frameworks
• Lead and/or assist in security incidents and investigations

What We're Looking For

• 8+ years of experience in Product Security, software development, or cybersecurity
• Proven track record in securing large-scale software applications and systems
• Strong experience building automation and security tooling
• Hands-on experience applying AI/LLMs to operational workflows, including designing, evaluating, and safely deploying AI-assisted systems is highly desirable
• Ability to effectively communicate business risk and technical information clearly to both technical and non-technical audiences

Technical Expertise

• Expertise in modern programming languages such as Python and C#
• Strong understanding of:
• Application and product security
• Vulnerability management and pentesting methodologies
• API and backend security
• Experience with mobile application penetration testing, including traffic interception, runtime analysis and API security.
• Experience with modern development ecosystems, CI/CD pipelines, APIs, and developer platforms.
• Strong, hands-on experience with cloud computing environments including:
• AWS shared responsibility model
• IAM and access control
• Network security in the cloud
• Strong understanding of securing cloud workloads including configuration, deployment, and auditing
• Deep knowledge of Linux security practices

Additional Strengths

• Demonstrated ability to think like both an attacker and defender
• Experience architecting for and managing high-scale, high-velocity workloads in AWS preferred
• Familiarity with security frameworks (e.g., OWASP, NIST Cybersecurity Framework) and compliance regulations (e.g., GDPR, CCPA, ISO 27001)
• Excellent analytical, problem-solving, and decision-making skills
• Exceptional communication and leadership skills, with the ability to influence across teams

Bonus Points

• Experience applying AI to security, automation, or developer workflows
• Previous experience at a game company
• Familiarity with:
• RAG architectures
• Vector databases (e.g., pgvector)
• AI-assisted code analysis or pentesting

Please ensure that the résumé/CV you attach is written in English.

Available Locations: Austin, Seattle, London, Lisbon, Washington DC, Toronto

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

ETI’s Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability. While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable.

You’ll be joining a highly motivated team that is building the next generation of distributed storage services.

What You’ll Do

In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation. You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.

Examples of desirable skills, knowledge, and experience

• Strong programming skills with languages like Rust, Go, or Python
• A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
• Experience with distributed databases and storage systems
• Experience with infrastructure configuration tooling and infrastructure as code
• Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
• Experience building and maintaining high-throughput, low-latency systems
• Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
• Strong written and verbal communication skills and ability to explain technical decisions clearly
• Comfortable operating in fast-paced environments with tight deadlines and evolving priorities

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Position Summary

SingleStore engineers build the real-time data platform that enables some of the world’s most demanding applications. Our cloud-native database architecture enables high-performance transactional and analytical workloads at scale.

Our Software Engineers work on small, collaborative teams to help drive our company forward.  Whether you’re improving the fault tolerance a SingleStore cluster, accelerating the performance of SQL queries with techniques like SIMD vectorization and LLVM codeGen, or writing search and costing modules for the query optimizer, our engineers are responsible for building systems critical to high performance workloads.

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:

• Develop database engine features based on company direction and customer requests to ensure that requirements are met in a timely manner 
• Deliver bug-free code in a low-level, unmanaged memory C++ environment
• Translate high-level customer requirements into actionable and deliverable software features
• Learn, propose, and adapt cutting-edge technologies from across industry and academia into SingleStore’s database architecture for ensuring optimal performance and throughput for customer workloads in both analytical and transactional scenarios
• Design and execute comprehensive test plans to evaluate database engine functionality, ensuring thorough coverage and accuracy, using Python, C++, and SQL
• Use low-level debugging techniques including GDB and Flame graphs to fix  problems and improve performance
• Work on distributed systems algorithms and problems/components of core database engine behind SingleStore
• Take part in code reviews and design reviews for the purpose of software quality assurance

Your Experience:

• 4+ years of experience developing and debugging system-level software in unmanaged languages like C++ or Rust
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Demonstrated ability to design and build highly reliable, high-performance system software.

Preferred Qualifications

• Knowledge of database architecture and operating systems
• Familiarity with distributed systems managed via Kubernetes

About us:

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. 

For candidates residing in California, please see our California Recruitment Privacy Notice. For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

Let's start with the role

As the team lead of an AI product team you will lead and guide the team's efforts in delivering high impact AI products. You will be at the core of AI developments, analyzing data, building machine learning models, collaborating with the tech team to create successful AI products. 

The ideal candidate will combine a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production along with previous experience of leading and managing AI teams.

As a Data Science Team Lead, you will:

• Manage a team of 5 to 7 skilled data scientists and machine learning engineers. 
• Translate product requirements to machine learning problems and identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate insights;
• Perform exploratory data analysis (EDA) and feature engineering to support the modeling process;
• Implement best practices on model selection, parameter tuning and optimization.
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and share knowledge with more junior members and guide the team through complex projects. 

What you’ll bring

• Previous experience as a people manager;
• Expert knowledge of machine learning algorithm and their theoretical foundations;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of Deep learning;
• Proficiency in Python’s machine learning ecosystem and solid software engineering skills (OOP);
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

• Experience with Big Data tools  (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Previous experience in pricing optimisation;
• Previous experience in forecasting;
• Previous experience in the betting industry.

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-HYBRID
• #LI-AP

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

Let's start with the role

As a Principal Data Scientist, you will play a critical role in leveraging data and AI to deliver value and create a competitive advantage for the organization. The ideal candidate will be a tenured Data Scientist, ML or AI engineer that has a proven track record of designing and implementing cutting-edge, data-intensive and AI-empowered applications along with the corresponding ML/DL algorithms.

As a Principal Data Scientist your main responsibilities will be

• Architecture: Architect scalable, reliable and high-performance AI applications along with their corresponding ML/DL algorithms.
• Innovation: Tech-lead the AI tribe in order to deliver state-of-the-art AI models in production.
• Mentorship: Inspire and mentor fellow data scientists, fostering technical and soft skill growth.
• Pioneering: Stay ahead of the AI curve, applying emerging technologies to enhance our capabilities and disrupt the industry. 
• Strategic Planning & Prioritization: Define the company-wide AI technical and product roadmap, in-line with the business product roadmap. Resist the AI hype and enable impact-driven prioritization with quick and impactful PoCs that demonstrate the value.
• Autonomy & end-to-end Ownership: From ideation all the way to operationalization and maintenance, demonstrate autonomy on high-complexity projects and ownership of the outcome.

What you’ll bring

• 8+ years of hands-on experience leveraging large-scale data to build ML/DL models with Python
• PhD-level expertise in one or more of the following domains: Recommendation Systems, Natural Language Processing, Computer Vision, Speech and Audio, Time-series, Reinforcement Learning, Graph Learning
• A deep understanding of the ML development lifecycle and how to optimize the trade-offs in each step. 
• Proven track record of designing, implementing, optimizing and scaling performant AI-empowered applications. Solid experience with MLOps practices in order to operationalize and maintain those applications in production.
• Excellent communication and collaboration skills targeting a diverse audience from stakeholders to cross-functional technical teams, in order to provide technical guidance and insight.

• Expertise in genAI or agentic AI. Hands-on experience in prompt design, optimization, testing and evaluation for different types of foundational models.
• Familiarity with a wide range of big data technologies, such as Apache Spark, Delta Lake, Apache Kafka, Apache Flink and NoSQL databases.

We're looking for an AI expert who wants to be at the forefront of innovation in the iGaming industry. Join us in shaping the future of iGaming with breathtaking experiences that thrill and delight players around the world.

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
• 👨‍👩‍👧‍👦 Family Support.
• #Li-Remote

Let's start with the role

As a Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production.

As a Senior Data Scientist you will:

• Translate product requirements to machine learning problems and  identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate actionable insights;
• Perform exploratory data analysis EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Expert knowledge of machine learning algorithm and respective theory;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of the Python machine learning ecosystem and solid software background in OOP;
• Knowledge of Deep learning;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have:

• Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Experience in recommendation systems;
• Experience in GenAI application development;
• Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.

Kaizen Gaming Perks

• 🕑 Hybrid way of working & remote options
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training

#LI-Remote

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

Let's start with the role

As a GenAI Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building Gen AI powered applications and/or agentic architectures. You will be responsible for selecting the right LLMs, performing prompt engineering and model fine-tuning to support our AI products. You will collaborate closely with cross-functional tech teams to deliver impactful, production-grade AI solutions. The ideal candidate has a deep understanding of LLMs and agentic architectures, along with proven experience building and deploying such applications in production environments.

As a GenAI Senior Data Scientist you will:

• Translate product requirements to AI problems and identify areas where AI can drive the most business impact;
• Analyze data to uncover significant patterns and generate actionable insights;
• Architect agentic and GenAI systems;
• Select appropriate models for the right tasks and tune their performance;
• Perform exploratory data analysis (EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Hands on experience with GenAI and Agentic applications;
• Extensive hands-on experience in delivering AI driven products to production;
• Experience in scaling and optimisation of AI applications;
• Knowledge of machine learning algorithm and respective theory;
• Knowledge of the Python machine learning ecosystem and 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 Big Data tools  (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Previous experience in LLM fineturing;
• Previous experience with LLM serving;
• Knowledge of Deep learning. 

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-Hybrid
• #LI-ap1

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

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 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.

How You'll Make an Impact: 

As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.

Our Infrastructure Team: 

Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.

What You Bring to the Team:

• Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
• Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
• Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
• Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
• Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
• Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
• Participate in on-call rotation to support production environment stability.

What Sets You Up for Success:

• 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, databases, queues, cache, permissions).
• 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
• Deep expertise with Terraform for infrastructure-as-code and configuration management.
• Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
• Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
• Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
• Ability to write Bash and/or Python scripts to automate operational tasks.
• Strong Linux system administration skills and solid networking fundamentals.
• Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.

#LI-REMOTE #LI-IK1

Are you passionate about working with the most cutting-edge technologies, including AI, big data analytics, LLMs, data mining, and business intelligence (BI)? Are you looking to become part of a world-class engineering team? Do you aspire to contribute to a globally recognized, pre-IPO leader in technology?

As a Senior Software Engineer, you will contribute to the design and development of AI-driven architectures that power our next-generation intelligent customer engagement platforms. Your contributions will help shape AI-powered customer experiences, enhancing the intelligence and efficiency of our service platforms.

Job Responsibilities:

• Develop and enhance a cloud-based data foundation system and AI agent platform. This involves leveraging AI/ML models, applying prompt engineering techniques, and conducting data analysis across structured, semi-structured, and unstructured data. Utilize technologies such as data and pattern mining, business intelligence (BI), and data transformation and processing.
• Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to deliver a high-performance, reliable, scalable service with assured AI quality.
• Contribute to architectural discussions, providing technical design input and ensuring alignment with the overall technology roadmap while adopting best practices effectively and independently.
• Participate in shaping the engineering roadmap, ensuring solutions are scalable and extensible while meeting business needs.
• Support and mentor junior engineers, fostering a collaborative and innovative development culture.
• Stay up-to-date with industry trends, emerging technologies, and advancements in AI and data engineering.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in backend development for cloud-based services, with a strong focus on scalability, reliability, and performance.
• Proficiency in Java, Python, C++, C#, Kotlin, Scala, or similar languages.
• Experience building and optimizing data-intensive services, including data processing, transformation, storage, and retrieval at scale.
• Strong problem-solving skills and ability to design scalable solutions for AI-driven services.
• Strong written and verbal English communication skills.
• Prior experience with data platforms and/or AI services is highly desirable.
• Experience working with distributed data platforms and modern data architectures, such as Apache Spark, Databricks, Kafka, Delta Lake, or similar is a desirable.
• Experience in data science and practical experience applying AI/ML models is a plus.

Additional Notes:
This position will follow a hybrid work model.

Highlights:

Location: Portugal, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle—from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.

What You’ll Do

• Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
• Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
• Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
• Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.
• €50 monthly allowance to cover internet and mobile phone expenses

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

About this job

At JUMO, we’ve built a smart financial services platform to make finance accessible to everyone.  Our Data engineering team ensures that our intelligent banking platform is able to acquire data from millions of users across globally distributed sources, such as GSM. Beyond ingress, the data is processed and stored in the cloud to support event-driven analytics and machine learning pipelines.

As a JUMO Junior Data Engineer, you will design, build and maintain scalable data architectures.  You will monitor their performance, perform root cause analysis and provide solutions to any issues that might arise. You will work with large, complex data sets, which means experience working with Big Data is essential.  On a typical day, we use Spark, Kafka, Python, SQL, Airflow and AWS technologies, such as Redshift.  We work with Docker and Kubernetes for automating deployment, scaling, and management of containerized applications.  

You will

• Be responsible for creating robust, mission critical batch and streaming data processing capabilities
• Design, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisation
• Provide feedback on team members' output, encouraging skills development within the team
• Work closely with Portfolio Managers and Decision Scientists to understand the real world problems we’re trying to solve
• Be supported by senior leaders as you drive your own development

You will need

• BSc. in Computer Science, Electrical Engineering or equivalent tertiary degree
• Real-world understanding & experience of data pipeline design and development, as well as data processing and storage (i.e. experience in designing systems to process and curate large data sets)
• Experience in streaming technologies, specifically Spark and Kafka
• Experience with cloud technologies, AWS preferred
• Solid, proven experience working with big-data technologies such as Apache Spark, Flink, Hadoop, Kafka or Kinesis, DynamoDB
• Command of productionising and monitoring of data pipeline workflows, and working knowledge of the Data Product Lifecycle
• Experience in application design and development with at least one of the following languages: Python (preferred), Kotlin
• RDBMS experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server.  This includes experience with relational database administration, technical architectures and infrastructure components
• Understanding of CI/CD practices
• Productive within a Linux command line environment
• Proven ability to contribute software as part of a team.  We are looking for someone that can effectively communicate technical concepts, and apply critical thinking under pressure

Bonus if you have

• Experience working with messaging systems (RabbitMQ, Redis, SNS)
• Experience working with data pipeline orchestration (Airflow, Nifi, Dagster )
• Experience working with production BI environments and tools (Tableau, Superset, Looker)

We ask a lot of each other at JUMO, but we give a lot too.

You will love

• Collaborating with smart, engaging people in an inspiring work environment
• Working for impact
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• A stack of leading-edge technologies

Remote First

We operate a remote first working approach, where working remotely is our default way of working. Our environment is designed to foster innovation and enable collaboration. You have flexibility where to work from (between time zone UTC 0 and UTC +3), as long as you are set up to work remotely and have access to data with a strong and reliable connection as we value online facetime for collaboration at JUMO.

Diversity and Inclusion

At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.

About this job

At JUMO, we’ve built a smart financial services platform to make finance accessible to everyone.  Our Data engineering team ensures that our intelligent banking platform is able to acquire data from millions of users across globally distributed sources, such as GSM. Beyond ingress, the data is processed and stored in the cloud to support event-driven analytics and machine learning pipelines.

As a JUMO Data Engineer, you will design, build and maintain scalable data architectures.  You will monitor their performance, perform root cause analysis and provide solutions to any issues that might arise. You will work with large, complex data sets, which means experience working with Big Data is essential.  On a typical day, we use Spark, Kafka, Python, SQL, Airflow and AWS technologies, such as Redshift.  We work with Docker and Kubernetes for automating deployment, scaling, and management of containerized applications.  

You will

• Be responsible for creating robust, mission critical batch and streaming data processing capabilities
• Design, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisation
• Provide feedback on team members' output, encouraging skills development within the team
• Work closely with Portfolio Managers and Decision Scientists to understand the real world problems we’re trying to solve
• Mentor juniors with technical leadership
• Be supported by senior leaders as you drive your own development

You will need

• BSc. in Computer Science, Electrical Engineering or equivalent tertiary degree
• Real-world understanding & experience of data pipeline design and development, as well as data processing and storage (i.e. experience in designing systems to process and curate large data sets)
• Experience in streaming technologies, specifically Spark and Kafka
• Experience with cloud technologies, AWS preferred
• Solid, proven experience working with big-data technologies such as Apache Spark, Flink, Hadoop, Kafka or Kinesis, DynamoDB
• Command of productionising and monitoring of data pipeline workflows, and working knowledge of the Data Product Lifecycle
• Experience in application design and development with at least one of the following languages: Python (preferred), Kotlin
• RDBMS experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server.  This includes experience with relational database administration, technical architectures and infrastructure components
• Understanding of CI/CD practices
• Productive within a Linux command line environment
• Proven ability to contribute software as part of a team.  We are looking for someone that can effectively communicate technical concepts, and apply critical thinking under pressure

Bonus if you have

• Experience working with messaging systems (RabbitMQ, Redis, SNS)
• Experience working with data pipeline orchestration (Airflow, Nifi, Dagster )
• Experience working with production BI environments and tools (Tableau, Superset, Looker)

We ask a lot of each other at JUMO, but we give a lot too.

You will love

• Collaborating with smart, engaging people in an inspiring work environment
• Working for impact
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• A stack of leading-edge technologies

Remote First

We operate a remote first working approach, where working remotely is our default way of working. Our environment is designed to foster innovation and enable collaboration. You have flexibility where to work from (between time zone UTC 0 and UTC +3), as long as you are set up to work remotely and have access to data with a strong and reliable connection as we value online facetime for collaboration at JUMO.

Diversity and Inclusion

At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.

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

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

About this job

Teamwork plays an integral role in the success of our tech strategy.  In JUMO, our teams have exposure to a broad range of the best new technology, and are trusted with the autonomy and flexibility to explore, innovate and find creative solutions to interesting challenges.  With this, everyone has the opportunity to contribute to our mission of enabling equal access to finance opportunities.  We have chosen our tech stack carefully and believe in using the best tools out there.

Our software engineering team is responsible for building our market-leading banking as a service platform & products, enabling real-time access to funds at the lowest possible operating cost.  When integrated into JUMO’s platform, it enables our partners to offer loans, savings and a wide range of financial choices to a new group of customers.

As a Junior Software Engineer, you will be accountable for solving complex technical problems with solutions that are scalable, testable, maintainable, and efficient, whilst continuing to improve our engineering practices. This position reports to a Tech Lead.

You will

• You will deliver across the SDLC to build a highly scalable distributed system
• Assist in defining the team's roadmap in line with the company and technology vision.
• Architect services and systems using well accepted design patterns to allow for iterative, autonomous development and future scaling.

• Design, implement, test, deploy, and support our products and services.
• Review code developed by other developers and provide feedback.  
• Guide the team to consistently write production-ready code that is easily testable, easily understood by other developers and accounts for edge cases and errors.
• Anticipate and communicate blockers, delays and cost ballooning within their team’s projects, before they require escalation.
• Contribute to existing documentation or educational content and drive best practices and engineering excellence.

You will need

• 1 - 2 years’ of experience with Kotlin / Java / Scala, and a cloud-based infrastructure, ideally AWS. Python experience will be an added advantage.
• Experience designing, developing and testing software.
• Some experience with the design and development of high-volume/low-latency services.
• Business and operational awareness.
• Good communication skills & EQ – able to work in a diverse team.

We ask a lot of each other at JUMO, but we give a lot too.

You will love

• Work in an agile cross-functional team, delivering quality code you can be proud of.
• Work with a modern but pragmatic Tech Stack (i.e. Kotlin + Spring Boot for Backend, TypeScript + React for Web and Mobile, Docker, Terraform, Kubernetes, Kafka, Flink, Datadog, GitHub Actions + ArgoCD for CI/CD, AWS), building a highly scalable distributed system
• Ensure consistency and accuracy when required.
• Led and supported by an experienced, hands-on Tech Lead.
• Collaborating with smart, engaging people.
• Working for impact.
• Growing and learning continuously, with loads of encouragement and support.
• Boldly taking risks as we navigate new challenges.
• Flexible work practices enabling your best delivery.
• Being autonomous and empowered to lead.

Remote First

Our environment is designed to foster innovation and enable collaboration. We operate a remote-first approach that enables us with the flexibility to work and live where we are most productive. We work between the UTC and UTC+3 time zones and currently have team members based in South Africa, Portugal and Kenya.

Diversity and Inclusion

At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.