Python Jobs in Lisbon.
All active Python roles based in Lisbon.
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Growth Marketing Analyst
About us
At GoCardless we believe bank payments are the best way to pay and get paid. We also believe that bank account data is a powerful tool to make better, faster decisions. We’re making it easy to use both- for businesses everywhere.
GoCardless is used for domestic and international payments by 75,000+ organisations and counting, processing more than $30 billion across 30 countries. We’re an award-winning London based fintech, with additional offices in Riga, Paris, Melbourne and New York.
And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!
Data at GoCardless
You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.
We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack.
You will enjoy being an analyst at GoCardless if:
- You’re looking to champion a great data culture within GC and in the wider data community.
- You enjoy collaborating and learning from people from various backgrounds and experiences.
- You want to feel proud of the work you’re doing and its impact on real customers.
Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Python, Looker, Google Cloud Platform, dbt, Airflow, Vertrex and Jupyter amongst others.
You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team.
The Role
At GoCardless we use marketing throughout the customer lifecycle to acquire new customers and drive revenue growth through our existing merchant base. As part of this role, you will be working closely across all marketing teams - paid, organic, lifecycle - to understand how their marketing efforts are helping to grow our merchant base and accelerate revenue. Your insights will be turned into actions as your expertise helps drive the future of GoCardless.
What excites you
- Collaborate with Growth Marketing measuring how our Paid and Organic marketing strategies drive acquisition, engagement and revenue growth
- Partner with marketing stakeholders to define and monitor marketing KPIs and identify trends, risks and opportunities in customer and campaign data to inform strategy aligned with business objectives
- Assist marketing teams in A/B test design and execution and analysing results using statistical methods
- Ensure data quality, accuracy and consistency across all marketing sources
- Build data products that help to monitor the health of campaigns, continuously innovating on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Google Analytics), Automation (Python), AI (Gemini)).
What excites us
Essentials:
- You have a background working in (performance) marketing analytics or a marketer looking for a more data focused role.
- You have knowledge of common marketing measurement metrics, tools & methodology.
- You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of marketing campaigns
- You have experience with data visualisation tools and communicating findings from complex data sets in an accessible way
- You are proficient in basic SQL
Nice to have:
- A basic knowledge of Python/R is advantageous but not essential
- You have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes
We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.
Salary range: the expected base salary range for this position is between €45,600 - €68,400.
Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.
(some of) The good stuff
- Wellbeing - stay healthy with dedicated support and medical coverWork away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period
- Adaptive Working - allows you to work flexibly, around your lifestyle
- Equity - all permanently employed GCs get equity to help you make a valuable contribution
- Parental leave - to suit everyone embarking on life's great adventureLearning Budget - lead your own development with an annual learning budget
- Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’)
Life at GoCardless
We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our mission. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Working this way creates the GC magic- the reason we all love showing up to work.
Diversity & Inclusion
We’re building the bank payment network of the future and our ambition is to move money anywhere, for anything, for anyone. If we’re going to achieve this goal, we need to build a team of ‘GeeCee’s’ that is as wonderfully diverse as the world we live in - with a multitude of perspectives, experiences & backgrounds.
We’ve got a long way to go, but here’s how we’re doing as of June 2022;
Female Employees - 46%
Ethnic background - 32%
Identify as LGBTQIA - 10%
Neurodivergent - 9%
We’re rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support.
If you want to learn more, you can read about our Employee Resource Groups and objectives here as well as our latest D&I Report
Sustainability
We’re committed to reducing our impact on the environment, leaving a more sustainable world for future generations. In 2021 we became co-founders of the Tech Zero coalition, a group of businesses committed to taking climate action as part of the UNFCCC Race to Zero. We aim to reduce our impact and to create positive change on the natural world. Check out our sustainability action plan here.
Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.
Ready to apply?
Apply to GoCardless
Who we are:
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:
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Support partners, customers, sales representatives and internal teams through various communication mediums (i.e., phone, chat and email).
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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.
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Coordinate with internal departments on the return/exchange process for Geotab devices and accessories.
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Diagnose and resolve technical hardware and software issues involving connectivity, installation and software inquiries.
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Manage, develop and deliver product service training directly to resellers and customers.
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Provide successful resolution to all customer complaints.
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Report escalating and severe concerns/issues to management.
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Preserve the confidentiality and security of customer data and information.
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Support Geotab global strategic initiatives.
What you'll bring to this role:
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1 - 3 years of experience in a customer service/support capacity and troubleshooting technical issues.
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Post-Secondary Diploma/Degree in Engineering, Computer Science, or a related field.
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Working knowledge of various programming languages such as SQL, Python, C#, or JavaScript, and data warehouses like Google Big Query.
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Expert level Excel skills (pivot tables and reports) and technical competence in Google Suite for business.
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Excellent verbal and written communication skills with comfort speaking with customers via telephone, email, and chat.
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Professional-level communication in French to manage regional technical inquiries.
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Ability to work a flexible schedule in a 24/7/365 operation, including days, evenings, nights, weekends, and holidays.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Fantastic state of the art office
Public transportation reimbursement
Employer pension contributions
Generous medical & dental benefits offered to you and family members
Electric vehicle purchase incentive program
Subsidized fitness membership
Co-pay tuition reimbursement
*The above are offered to full-time permanent employees only
How we work:
Ready to apply?
Apply to 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
Ready to apply?
Apply to iCapital
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
Ready to apply?
Apply to iCapital
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
Ready to apply?
Apply to iCapital
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
Ready to apply?
Apply to iCapital
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
Ready to apply?
Apply to iCapital
Engineering Manager | ComparaJá.pt – Lisbon (Hybrid)
Job Summary
We are looking for a highly skilled and experienced Engineering Manager to guide our development team in delivering high-quality software. You will own the delivery process end-to-end, ensuring that our products are built to modern development standards while fostering a culture of excellence and velocity. The ideal candidate will have a strong background in software development, experience in coaching and mentoring teams, and a passion for optimising processes to drive efficiency.
This is an office role based in Alvalade, Lisbon with flexibility to work remotely.
Key Responsibilities
- Own the delivery of high-quality software: Lead the technical direction of projects, ensuring that software is delivered on time, meets business requirements, and adheres to the highest standards of performance, security, and scalability.
- Optimise development processes: Continuously review and improve the development lifecycle to increase efficiency, reduce bottlenecks, and enhance productivity.
- Coach and mentor developers: Provide hands-on technical guidance, mentorship, and support to the development team. Foster professional growth and engineering excellence through regular feedback, training, and knowledge sharing.
- Ensure modern development standards: Promote and implement best practices, including CI/CD pipelines, automated testing, code reviews, and clean coding principles.
- Collaborate with cross-functional teams: Work closely with product managers, designers, and other stakeholders to align technical decisions with business goals and ensure a shared vision across the product lifecycle.
- Technical leadership: Make critical decisions around architecture, tools, and frameworks, ensuring long-term scalability and maintainability of the codebase.
- Stay updated with industry trends: Continuously explore new technologies, frameworks, and methodologies to ensure the team is up-to-date with the latest advancements in software development. Especially concerning the ability to rapidly prototype ideas using AI.
About You
- Proven experience as an Engineering Manager, Tech Lead, Senior Software Engineer, or similar role.
- Strong interpersonal skills and ability to effectively communicate with teams across the organisation.
- You have an analytical mindset to develop the best-fit technical solution.
- You have excellent leadership and decision-making skills, and knowledge of project management principles.
- You have an understanding of IT infrastructure, architecture, as well as a good understanding of non-technical parts of the business.
- You are comfortable working in an international environment.
Skills Required:
- Experienced working through the design, development, release cycle, and delivering software products to market, with a track record of successful delivery of software applications as an individual and tech leader
- Experience with managing the development of SaaS and cloud-based applications
- Our stack is: C#, Python, Nuxt/VueJS, PostgreSQL, all on AWS. The more experience in each the better, but all definitely not necessary.
- Fluency in Portuguese and English is required.
Why Join Us:
- Own the technology team. This is a great opportunity to truly own a delivery team and be responsible for a development organisation. You will be taking part in an international organisation and be able to learn from your peers in other countries and the Group CTO
- Competitive salary and benefits
Start date: as soon as possible
About Us
ComparaJá.pt is a leading platform for aggregating and comparing financial products and services in Portugal. Founded in 2015 as part of Samlino Group (samlinogroup.com) we are operating across three European markets, our group empowered over 10 million users last year alone.
At ComparaJá.pt, our mission is to help Portuguese consumers make informed, confident decisions across all areas of personal finance—whether banking, insurance, or utilities—by providing easy access to unbiased, accurate information and free comparisons. Our vision is to become the go-to personal finance platform for consumers, partners, media, and other stakeholders, helping people identify and choose the best solutions for their needs—saving time and money in a simple and transparent way.
What We Offer
- ❤️ Health insurance
- 🍽️ Meal card
- 🚉 Transport subsidy
- 🚀 Opportunity to work on meaningful projects that power internal operations
- 🤝 A supportive, fast-moving, and collaborative team environment
#LI-Hybrid
Ready to apply?
Apply to ComparaJá
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
Ready to apply?
Apply to ComparaJá
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
Ready to apply?
Apply to ComparaJá
Team Lead | Engineering - ComparaJá.pt – Lisbon (Hybrid)
Job Summary
We are looking for a highly skilled and experienced Team Lead to guide our development team in delivering high-quality software. You will own the delivery process end-to-end, ensuring that our products are built to modern development standards while fostering a culture of excellence and velocity. The ideal candidate will have a strong background in software development, experience in coaching and mentoring teams, and a passion for optimising processes to drive efficiency.
This is an office role based in Alvalade, Lisbon with flexibility to work remotely.
Key Responsibilities
- Own the delivery of high-quality software: Lead the technical direction of projects, ensuring that software is delivered on time, meets business requirements, and adheres to the highest standards of performance, security, and scalability.
- Optimise development processes: Continuously review and improve the development lifecycle to increase efficiency, reduce bottlenecks, and enhance productivity.
- Coach and mentor developers: Provide hands-on technical guidance, mentorship, and support to the development team. Foster professional growth and engineering excellence through regular feedback, training, and knowledge sharing.
- Ensure modern development standards: Promote and implement best practices, including CI/CD pipelines, automated testing, code reviews, and clean coding principles.
- Collaborate with cross-functional teams: Work closely with product managers, designers, and other stakeholders to align technical decisions with business goals and ensure a shared vision across the product lifecycle.
- Technical leadership: Make critical decisions around architecture, tools, and frameworks, ensuring long-term scalability and maintainability of the codebase.
- Stay updated with industry trends: Continuously explore new technologies, frameworks, and methodologies to ensure the team is up-to-date with the latest advancements in software development. Especially concerning the ability to rapidly prototype ideas using AI.
About You
- Proven experience as an Engineering Manager, Tech Lead, Senior Software Engineer, or similar role.
- Strong interpersonal skills and ability to effectively communicate with teams across the organisation.
- You have an analytical mindset to develop the best-fit technical solution.
- You have excellent leadership and decision-making skills, and knowledge of project management principles.
- You have an understanding of IT infrastructure, architecture, as well as a good understanding of non-technical parts of the business.
- You are comfortable working in an international environment.
Skills Required:
- Experienced working through the design, development, release cycle, and delivering software products to market, with a track record of successful delivery of software applications as an individual and tech leader
- Experience with managing the development of SaaS and cloud-based applications
- Our stack is: C#, Python, Nuxt/VueJS, PostgreSQL, all on AWS. The more experience in each the better, but all definitely not necessary.
- Fluency in Portuguese and English is required.
Why Join Us:
- Own the technology team. This is a great opportunity to truly own a delivery team and be responsible for a development organisation. You will be taking part in an international organisation and be able to learn from your peers in other countries and the Group CTO
- Competitive salary and benefits
Start date: as soon as possible
About Us
ComparaJá.pt is a leading platform for aggregating and comparing financial products and services in Portugal. Founded in 2015 as part of Samlino Group (samlinogroup.com) we are operating across three European markets, our group empowered over 10 million users last year alone.
At ComparaJá.pt, our mission is to help Portuguese consumers make informed, confident decisions across all areas of personal finance—whether banking, insurance, or utilities—by providing easy access to unbiased, accurate information and free comparisons. Our vision is to become the go-to personal finance platform for consumers, partners, media, and other stakeholders, helping people identify and choose the best solutions for their needs—saving time and money in a simple and transparent way.
What We Offer
- ❤️ Health insurance
- 🍽️ Meal card
- 🚉 Transport subsidy
- 🚀 Opportunity to work on meaningful projects that power internal operations
- 🤝 A supportive, fast-moving, and collaborative team environment
#LI-Hybrid
Ready to apply?
Apply to ComparaJá
Tech Lead | ComparaJá.pt – Lisbon (Hybrid)
Job Summary
We are looking for a highly skilled and experienced Tech Lead to guide our development team in delivering high-quality software. You will own the delivery process end-to-end, ensuring that our products are built to modern development standards while fostering a culture of excellence and velocity. The ideal candidate will have a strong background in software development, experience in coaching and mentoring teams, and a passion for optimising processes to drive efficiency.
This is an office role based in Alvalade, Lisbon with flexibility to work remotely.
Key Responsibilities
- Own the delivery of high-quality software: Lead the technical direction of projects, ensuring that software is delivered on time, meets business requirements, and adheres to the highest standards of performance, security, and scalability.
- Optimise development processes: Continuously review and improve the development lifecycle to increase efficiency, reduce bottlenecks, and enhance productivity.
- Coach and mentor developers: Provide hands-on technical guidance, mentorship, and support to the development team. Foster professional growth and engineering excellence through regular feedback, training, and knowledge sharing.
- Ensure modern development standards: Promote and implement best practices, including CI/CD pipelines, automated testing, code reviews, and clean coding principles.
- Collaborate with cross-functional teams: Work closely with product managers, designers, and other stakeholders to align technical decisions with business goals and ensure a shared vision across the product lifecycle.
- Technical leadership: Make critical decisions around architecture, tools, and frameworks, ensuring long-term scalability and maintainability of the codebase.
- Stay updated with industry trends: Continuously explore new technologies, frameworks, and methodologies to ensure the team is up-to-date with the latest advancements in software development. Especially concerning the ability to rapidly prototype ideas using AI.
About You
- Proven experience as an Engineering Manager, Tech Lead, Senior Software Engineer, or similar role.
- Strong interpersonal skills and ability to effectively communicate with teams across the organisation.
- You have an analytical mindset to develop the best-fit technical solution.
- You have excellent leadership and decision-making skills, and knowledge of project management principles.
- You have an understanding of IT infrastructure, architecture, as well as a good understanding of non-technical parts of the business.
- You are comfortable working in an international environment.
Skills Required:
- Experienced working through the design, development, release cycle, and delivering software products to market, with a track record of successful delivery of software applications as an individual and tech leader
- Experience with managing the development of SaaS and cloud-based applications
- Our stack is: C#, Python, Nuxt/VueJS, PostgreSQL, all on AWS. The more experience in each the better, but all definitely not necessary.
- Fluency in Portuguese and English is required.
Why Join Us:
- Own the technology team. This is a great opportunity to truly own a delivery team and be responsible for a development organisation. You will be taking part in an international organisation and be able to learn from your peers in other countries and the Group CTO
- Competitive salary and benefits
Start date: as soon as possible
About Us
ComparaJá.pt is a leading platform for aggregating and comparing financial products and services in Portugal. Founded in 2015 as part of Samlino Group (samlinogroup.com) we are operating across three European markets, our group empowered over 10 million users last year alone.
At ComparaJá.pt, our mission is to help Portuguese consumers make informed, confident decisions across all areas of personal finance—whether banking, insurance, or utilities—by providing easy access to unbiased, accurate information and free comparisons. Our vision is to become the go-to personal finance platform for consumers, partners, media, and other stakeholders, helping people identify and choose the best solutions for their needs—saving time and money in a simple and transparent way.
What We Offer
- ❤️ Health insurance
- 🍽️ Meal card
- 🚉 Transport subsidy
- 🚀 Opportunity to work on meaningful projects that power internal operations
- 🤝 A supportive, fast-moving, and collaborative team environment
#LI-Hybrid
Ready to apply?
Apply to ComparaJá
Software Developer in Test (Python)
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
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
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
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! 🤳
We live and breathe our values, and know you will too:
- Growing every day
- Including everyone
- Relationships built on honesty and ethics
- Inspiring solutions
- Winning together
We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.
Ready to apply?
Apply to YLDAbout Us
Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
About the Role
The Data Science department plays a pivotal role in our company, generating value to Riskified by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
- Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
- Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
- Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
- Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
- Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
- Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
- Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
- Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities
Qualifications
- B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
- 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
- Strong understanding and practical experience with various machine learning algorithms.
- Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
- Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
- Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
- Proficiency in data visualization libraries, to create meaningful visual representations of complex data
- Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
- Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
- Experience in the fraud domain
- Experience with Airflow, CircleCI, PySpark, Docker and K8S
Life at Riskified
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.
We’re looking for bright, driven, and passionate people to grow with us.
Some of our Lisbon Benefits & Perks:
- Hybrid mode of work
- Flexible schedule
- Healthcare benefits
- Fully-stocked kitchens
- Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
- Wellness program
- Celebrations and activities
- Team events
- Happy hours
- Awesome Riskified gifts and swags
- Volunteer programs
- Personal development
- Global onboarding
- Role-based technical skills training
- Full access to Udemy
In the News
Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology
Globes: Riskified is among Israel’s fastest growing companies
Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
Ready to apply?
Apply to Riskified
About Us
Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
About the Role
The Data Science department plays a pivotal role in our company, generating value to Riskified by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more).
As a Data Science Team Leader, you will lead a talented team of data scientists while maintaining hands-on involvement in complex technical projects. You will be responsible for recruiting, mentoring, and developing team members while ensuring the delivery of high-impact machine learning solutions for fraud detection and risk assessment.
What You'll Be Doing
Technical Leadership
- Define technical approaches for complex data science projects involving tabular data at scale
- Lead critical projects and contribute code to production systems
- Establish and maintain best practices for model development, evaluation, and deployment
- Conduct code reviews to ensure quality, maintainability, and adherence to standards
- Guide team members through complex technical challenges
Team Leadership & Management
- Recruit, onboard, mentor, and manage data scientists
- Foster a collaborative, innovative environment that encourages experimentation and knowledge sharing
- Work closely with data engineers, ML engineers, fraud domain experts, and product managers
- Define success metrics and demonstrate business value of data science initiatives
- Forecast team needs and advocate for necessary tools and infrastructure
Qualifications
Required
- M.Sc in Computer Science, Mathematics, Statistics, or a related field
- 6+ years of proven experience designing and implementing machine learning algorithms with tabular data and successfully deploying them to production
- 3+ years of experience managing and leading data science teams (minimum 3 direct reports)
- Demonstrated track record in recruiting, interviewing, and hiring data science talent
- Strong understanding and practical experience with various machine learning algorithms for structured/tabular data
- Strong programming skills with high standards for code quality - proficiency in Python with experience writing clean, maintainable, production-grade code
- Experience with data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform large-scale tabular datasets
- Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
- Strong analytical and critical thinking skills to approach business problems and translate them into actionable solutions
- Demonstrated ability to lead cross-functional teams and contribute to a positive work environment
Advantages
- Experience in the fraud domain - Strong advantage
- Experience with Airflow, CircleCI, PySpark, Docker and K8S
Life at Riskified
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.
We’re looking for bright, driven, and passionate people to grow with us.
Some of our Lisbon Benefits & Perks:
- Hybrid mode of work
- Flexible schedule
- Healthcare benefits
- Fully-stocked kitchens
- Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
- Wellness program
- Celebrations and activities
- Team events
- Happy hours
- Awesome Riskified gifts and swags
- Volunteer programs
- Personal development
- Global onboarding
- Role-based technical skills training
- Full access to Udemy
In the News
Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology
Globes: Riskified is among Israel’s fastest growing companies
Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
Ready to apply?
Apply to Riskified
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.
We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
- Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
- Prototype and see what works well in the real world, iterate closely with our users, and then ship.
- Follow the latest research on LLM prompting, agents, and code editing.
- Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.
Who You Are:
- You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
- You are passionate about Generative AI and its ability to help software engineers be more productive.
- You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
- You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
- You want to work in a fast, high-growth startup environment that respects its engineers and customers.
- You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
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.
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
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.
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.
We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
- Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
- Prototype and see what works well in the real world, iterate closely with our users, and then ship.
- Follow the latest research on LLM prompting, agents, and code editing.
- Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.
Who You Are:
- You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
- You are passionate about Generative AI and its ability to help software engineers be more productive.
- You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
- You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
- You want to work in a fast, high-growth startup environment that respects its engineers and customers.
- You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
- Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
- Collaborate with Product, Design, and partner teams to build cohesive experiences
- Prototype and see what works well, iterate closely with our users and experts, and then ship
- Follow the latest research on GenAI and AI agents
Who You Are:
- You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
- You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
- You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
- You want to work in a fast, high-growth startup environment that values its engineers
- You are a good communicator and can drive hard technical conversations towards a pragmatic solution
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
Bonus Point:
- Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
- Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
- Experience scaling products in a high-growth SaaS environment
- You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.
We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
- Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
- Prototype and see what works well in the real world, iterate closely with our users, and then ship.
- Follow the latest research on LLM prompting, agents, and code editing.
- Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.
Who You Are:
- You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
- You are passionate about Generative AI and its ability to help software engineers be more productive.
- You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
- You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
- You want to work in a fast, high-growth startup environment that respects its engineers and customers.
- You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.
We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
- Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
- Prototype and see what works well in the real world, iterate closely with our users, and then ship.
- Follow the latest research on LLM prompting, agents, and code editing.
- Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.
Who You Are:
- You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
- You are passionate about Generative AI and its ability to help software engineers be more productive.
- You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
- You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
- You want to work in a fast, high-growth startup environment that respects its engineers and customers.
- You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
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
Ready to apply?
Apply to Wellhub
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
To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice
Ready to apply?
Apply to Upwork
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).
The annual base salary range for this position is displayed below. The range displayed reflects the minimum and maximum salary for this position, and 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.
To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice
Ready to apply?
Apply to Upwork
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.
To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice
Ready to apply?
Apply to Upwork
Lead Infrastructure Engineer
Company Overview
Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
Position Summary
Arcesium seeks an accomplished Lead Infrastructure Engineer to join our Infrastructure team. All Infrastructure Engineers are coders and technology generalists who bring their unique combination of breadth and depth of experience and knowledge to the team. As a Lead Infrastructure Engineer, you’re passionate about providing the foundation and capabilities to our application developers to build upon, and love to solve problems with creative multi-discipline, polyglot, and/or open-source solutions. You are able to work independently, demonstrating “high agency” in your work, but you’ll balance your independence with leveraging the team and working with outside stakeholders as needed.
What you will do:
- Engineer our Linux compute platform based on Kubernetes and AWS
- Engineer our Python and Terraform-based tools and automation
- Build infrastructure applications, write, and review code as needed
- Solve problems with a combination of coding and implementation of open source tools
- Troubleshoot and debug complex systems
- Leverage our design, coding, automation, and implementation skills to engineer what Arcesium needs, solving business and technology problems
What you’ll need:
- We prefer 5+ years of relevant infrastructure experience. However, we are interested more in what you’ve done, can do, and can grow to do, rather than the number of years you’ve been working.
- Proven track record of ownership of critical systems and delivery of systems and features. You have owned and operated critical infrastructure systems like Linux, Kubernetes, DNS, Kerberos, and/or AWS IAM.
- Polyglot programming capability, with advanced level Python ability. Other languages in our ecosystem include Java, Go, and Bash.
- Experience with running critical workloads on AWS
- Ability to balance delivery with correctness, delivering timely solutions that are properly risk-managed for the needs of the business
- You have an inquisitive mind, the ability to learn and problem-solve, and are a self-starter
- A bachelor’s degree in computer science, computer engineering, or related discipline is required
- Have a valid work permit to work in the country.
Arcesium's Personal Data Privacy Notice for Candidates is linked here.
Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).
Arcesium is an equal opportunity employer.
Ready to apply?
Apply to Arcesium LLC
Lead Infrastructure Engineer - Distributed Systems
Company Overview
Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
Position Summary
Arcesium seeks an accomplished Lead Infrastructure Engineer to join our Infrastructure team. All Infrastructure Engineers are coders and technology generalists who bring their unique combination of breadth and depth of experience and knowledge to the team. As a Lead Infrastructure Engineer, you’re passionate about providing the foundation and capabilities to our application developers to build upon, and love to solve problems with creative multi-discipline, polyglot, and/or open-source solutions. You are able to work independently, demonstrating “high agency” in your work, but you’ll balance your independence with leveraging the team and working with outside stakeholders as needed.
What you will do:
- Own the distributed systems ecosystem that powers our SaaS API-driven business relied upon by our customers around the world
- Construct innovative infrastructure systems, applications, and tools that streamline and enhance how Arcesium’s applications interoperate
- Take ownership of our critical technology infrastructure -- built on top of multiple underlying technologies, tools, and programming languages
- Provide highly available, reliable critical services to our customer-facing applications and developers
What you’ll need:
- 5+ years of relevant infrastructure experience preferred, but what truly matters to us is your demonstrated ownership of critical systems, potential for continued growth, and your ability to make an impact. Show us what you have accomplished and what you aspire to achieve.
- Demonstrated desire to take ownership of critical systems and successfully deliver systems and features. Whether it is Linux, Kubernetes, DNS, Kerberos, or AWS, we are looking for candidates who aspire to manage and operate vital polyglot infrastructure systems. Proven track record of doing so is a desirable plus.
- Advanced proficiency in Python and an eagerness to work with languages like Java, Go, and Bash as needed. Experience in running critical workloads in AWS is a definite plus.
- Advanced knowledge and demonstrated experience with HTTP and other network protocols, load balancing, ALBs, nginx, Apache httpd, Kubernetes ingress, Kerberos, SAML, and other SSO technologies, authentication, and authorization
- Ability to craft reliable and performant solutions to problems using a combination of software you write and open-source technology.
- Display a curious mind, enthusiasm for technology infrastructure, a knack for problem-solving, and the drive to take initiative and work with the right combination of independence and collaboration.
- A bachelor’s degree in computer science, computer engineering or a related discipline is required.
Arcesium's Personal Data Privacy Notice for Candidates is linked here.
Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).
Arcesium is an equal opportunity employer.
Ready to apply?
Apply to Arcesium LLC
Security Monitoring Engineer
Company Overview
Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
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).
Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).
Arcesium is an equal opportunity employer.
Ready to apply?
Apply to Arcesium LLC
Sr Manager - Middle Office
Company Overview
Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
Your team
The Middle Office group is a part of larger FinOp department and is responsible for securities and transaction Management across all asset classes. The group ensures that all client transactions are booked into Arcesium platform, and any exception is addressed actively. The group is also responsible for Asset Servicing (coupons, paydowns, expiries, etc.) and Corporate Action management across various financial instruments. The group also works on managing the Reference and Static data on Arcesium platform. The group members collaborate with multiple internal and external stakeholders to ensure that all transaction and security data on Arcesium platform results in correct and expected PnL.
What You'll Do
- Lead and own accountability for the team's delivery of daily transaction processing, security master management, reference data integrity, and asset servicing operations across multiple asset classes and clients.
- Drive client onboarding excellence by playing a key role from the Middle Office perspective in transitioning new clients from onboarding teams to steady-state operations on the Arcesium platform.
- Provide active operational oversight of day-to-day operations and resources, including escalation management, business-as-usual troubleshooting, and setting clear direction and performance goals for team members.
- Execute strategic initiatives by working with Senior Management across NY, India, and local offices to define and implement new automations, prioritize projects, manage client relationships, and oversee client budgets.
- Drive operational improvements through discussions with investment managers, client-ops teams, and data vendors to resolve day-to-day exceptions while developing strategic initiatives that enhance service delivery.
- Partner with technology teams on platform enhancements by assisting in special projects, developing bespoke reports, creating functional specifications, supporting product implementation, and conducting UAT testing.
- Collaborate cross-functionally with pricing and trade accounting teams to resolve discrepancies, respond to internal queries, and ensure data consistency across the platform.
- Oversee complex security mapping by assisting the team and performing review controls for intricate asset classes, ensuring accurate product setup and lifecycle management.
- Support audit and compliance processes by aiding auditors and fund administrators during audit cycles, providing documentation and analysis as required.
What You Will Need
- MBA, MSc in Finance, CFA, or any another equivalent qualification
- 10+ years of experience in Middle Office, Corporate Actions, or Investment Operations.
- At least 3-4 years in a team leadership or managerial role.
- Strong understanding of multiple asset classes (equities, fixed income, derivatives, structured products, etc).
- Experience in security master/reference data management and/or corporate action processing.
- Strong analytical, project management, prioritization, problem-solving skills, excellent written and verbal communication and stakeholder-management capabilities.
- Proficiency in MS office tools. Hands on experience in Python and/or VBA would be a big plus.
- Hands-on experience with OMS platforms, data vendors, and operational workflow tools.
- Expertise in automation, process re-engineering, cross-functional project delivery and operational transformation.
Arcesium's Personal Data Privacy Notice for Candidates is linked here.
Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).
Arcesium is an equal opportunity employer.
Ready to apply?
Apply to Arcesium LLC
Performance QA Engineer
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
The Veeam Quality Assurance team invites you to work on Veeam products with Veeam QA professionals in the Lisbon R&D office.
As a Performance QA Engineer, you will work on large‑scale, real‑world backup and data protection scenarios used by enterprises worldwide. Your work will directly influence the scalability, reliability, and performance of Veeam products running in some of the most demanding environments.
What You'll Do
- Design and execute performance, load, and scalability testing for major components of Veeam products (from requirement analysis and lab design to test execution and results analysis)
- Build and maintain realistic enterprise‑grade test environments, including large infrastructures and complex topologies
- Identify performance bottlenecks and system limits, and work closely with developers, functional QA, and product managers to resolve them
- Participate in root cause analysis of performance issues reported by Technical Support and customers
- Own and evolve performance test labs: environment creation, configuration, monitoring, and collaboration with IT teams
What You'll Bring
- Technical education or a strong, hands‑on passion for systems and performance
- 1–2 years of experience in performance and/or load testing (or a strong practical background in system performance)
- Ability to analyze test results and clearly identify bottlenecks, limits, and performance risks
- Solid knowledge of Windows and/or Linux at an advanced user or system administration level
- Good understanding of system internals: CPU, memory, storage, networking
- Strong analytical mindset, attention to detail, and structured thinking
- Motivation to grow as a performance and scalability engineer
- English proficiency for daily communication within international teams
Bonus Skills
- Experience with databases (Microsoft SQL Server, PostgreSQL), including profiling and performance analysis
- Scripting, test automation, or infrastructure deployment experience
- Understanding of virtualization platforms and large virtual environments
- Hands‑on experience with cloud platforms (Azure, AWS, Google Cloud)
- Experience with Python
- Familiarity with Ansible, Terraform, or similar infrastructure‑as‑code tools
What You'll Get
- 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private medical, dental, and optical insurance for employees and dependents
- Life and disability insurance worth 2x gross annual salary
- Monthly meal allowance of €10.46 per working day
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
#LI-YS1
#Hybrid
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Senior Software Engineer, Storage Infrastructure
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
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
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Ready to apply?
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Senior Software Engineer
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.
Ready to apply?
Apply to SingleStore
Data Science Team Lead
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
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
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
Machine Learning Engineer
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
At Kaizen, we aim to leverage the capabilities offered by modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations, and from AI-powered co-pilots to CRM optimizations.
We build our teams to be self-driven, autonomous and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.
As a Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models.
- Design, develop and maintain scalable model training and inference pipelines in a distributed production environment;
- Design, develop and maintain microservices in Python that host and serve ML models on production;
- Design, develop and maintain internal tools that enable CI/CD/CT, performant feature engineering, experiment tracking, data and model versioning.
What you’ll bring
- Ηands-on experience in software development using Python on a production environment;
- Good understanding of:
- Software system design;
- The ML project lifecycle;
- MLOps concepts and tools such as MLflow or Kubeflow;
- ML algorithms and models.
- Experience with cloud providers like Microsoft Azure or AWS;
- Experience with PySpark and Databricks.
Kaizen Gaming Perks
- 🕑 Hybrid model of working
- 🏃 A buddy will support you with your onboarding
- 💸 Competitive salary package and bonus scheme
- 👩⚕️ Health and life insurance for you and your family
- 💰 Monthly meal allowance
- ⭐ Developmental 360° feedback framework
- 📚 Unlimited access to Udemy & continuous training
- 🚗 Commuting allowance
- 👨👩👧👦 Family Support
- #LI-Remote
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
Senior Data Scientist
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
At Kaizen, our aim is to make data driven decisions in order to automate our servicers while also focusing on offering tailored customer experiences. Our machine learning team is dedicated towards this mission by building a variety of models, from binary classification tasks up to recommendation systems. We focus on transforming business needs into production applications and we cover a wide range of business sectors utilizing different data types and handling a broad project diversity.
Our teams comprise of three different roles, data scientists, machine learning engineer and data engineers so that they include the full skillset to deliver projects to production.
We are currently looking for data scientists in all levels to join our teams. The role should combine strong knowledge of machine learning algorithms, analytical skills, experimental design etc. to support the model development process.
- Translate business requirements to machine learning problems;
- Perform EDA and feature engineering;
- Run comparative experiments for model training;
- Implement best practices on model selection, parameter tuning etc.
What you’ll bring
- A background in Computer Science, Statistics, Math or related field;
- Strong knowledge of machine learning algorithm and respective theory;
- 2-8 years of hands-on experience in delivering machine learning models to production;
- Knowledge of the Python machine learning ecosystem;
- Experience with Spark (PySpark);
- Solid software background in OOP;
- Strong skills in teamwork, communication, and analytical thinking;
- Fluency in English, both oral and written.
Nice to have
- Experience with Azure / Databricks;
- Knowledge of Deep learning;
- Experience in recommendation systems.
#Artificial Intelligence (AI) #Machine Learning (ML) #Data Science (DS)
Kaizen Gaming Perks
- 🕑 Hybrid way of working
- 🏃 A buddy will support you with your onboarding
- 💸 Competitive pay & bonus scheme
- ⭐Developmental 360° feedback framework
- 💰 Monthly meal allowance
- 👩⚕️ Private health insurance for you and your family
- 📚 Unlimited access to Udemy & continuous training
- 👨👩👧👦 Family Support.
- #LI-Remote
- #LI-PROMOTE
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
Senior Data Scientist (GenAI)
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
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
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
Senior Machine Learning Engineer
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
At Kaizen, we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations.
We structure our teams to be self-driven, autonomous, and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.
As a Senior Machine Learning Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. Here's what's up for you:
- Collaborate closely with data scientists in order to deliver production-ready model training pipelines;
- Design scalable solutions in a distributed environment;
- Design scalable inference pipelines and architectures;
- Implement model diagnostics such as evaluation, monitoring flows etc.;
- Automate model deployment, enable REST API model endpoints;
- Develop scalable model serving flows;
- Work on cluster optimization and scalability;
- Develop and maintain internal tools and libraries;
- Write CI/CD/CT pipelines.
What you’ll bring:
- Extensive experience in software development using Python in large scale, high-performance production environment;
- Significant hands-on experience in designing ML software systems;
- Significant experience with cloud environments like Microsoft Azure or AWS;
- Hands-on experience with Spark and PySpark;
- Excellent problem solving and communication skills
- Good understanding of:
-
- Software system design;
- The ML project lifecycle;
- MLOps concepts and tools such as MLflow or Kubeflow;
- ML algorithms and models.
Kaizen Gaming Perks
- 🕑 Hybrid model of working
- 🏃 A buddy will support you with your onboarding
- 💸 Competitive salary package and bonus scheme
- 👩⚕️ Health and life insurance for you and your family
- 💰 Monthly meal allowance
- ⭐ Developmental 360° feedback framework
- 📚 Unlimited access to Udemy & continuous training
- 🚗 Commuting allowance
- 👨👩👧👦 Family Support
- #LI-Remote
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.
Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.
As a Lead AI Engineer on our Data Platform & Services (DPS) team, you will apply your expertise in AI capabilities to build and deploy production grade AI powered systems towards data engineering, analytics & product evolution use cases. You’ll design and deploy agentic frameworks, natural language querying (NLQ) capabilities, and prompt/LLM evaluation strategies that unlock insights at scale across Upwork. This is an opportunity to deliver tangible impact, enabling faster decision-making, democratizing data access, and empowering analysts, product teams and stakeholders throughout the company.
Responsibilities
- Design and implement scalable agentic frameworks that coordinate multiple AI agents to deliver accurate and reliable outcomes.
- Build and optimize natural language query solutions that provide compliant, intuitive, and self-service access to enterprise data.
- Develop and maintain evaluation frameworks for LLMs and prompts, driving measurable improvements in accuracy, scalability, and resilience.
- Partner with data engineering peers to integrate AI orchestration with Python, SQL, and Snowflake pipelines.
- Contribute to AI-powered summarization and explanation tools that enhance reporting, insights, and executive reviews.
- Collaborate cross-functionally with product, analytics, and business teams to ensure solutions meet measurable business goals.
What it takes to catch our eye
- Proven experience delivering AI-powered data systems in production, including hands-on expertise with LLMs and prompt engineering.
- Strong foundation in modern data engineering, with proficiency in Python, SQL, and platforms such as Snowflake.
- Demonstrated ability to design agentic orchestration frameworks that scale across diverse business scenarios.
- A collaborative problem-solver with strong communication skills, able to align stakeholders and create clarity across teams.
- Growth mindset, excited to learn, iterate, and deliver measurable business outcomes through applied AI.
Come change how the world works.
Upwork is establishing its first international operational hub in Lisbon, Portugal. The new office is expected to be fully operational by Q4 2026.
This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.
Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require.
Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.
To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice.
To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice
Ready to apply?
Apply to Upwork
Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.
Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.
We’re seeking a Senior Lead Machine Learning Engineer to architect, ship, and scale the next generation of agentic intelligence across Upwork. You will lead end‑to‑end development of AI agents and the platform that powers them—from LLM training and evaluation to runtime orchestration, safety, and developer APIs. This is a hands‑on, high‑impact role at the intersection of applied research and platform engineering, enabling internal teams and external developers to build reliable, safe, and high‑performing agents on Upwork.
Responsibilities
- Build Agentic Intelligence. Design and implement multi‑agent systems (planning, tool‑use, memory, debate/critique, reflection) with robust guardrails and recovery strategies.
- Develop protocol‑aware agents and services that interoperate cleanly with developer tooling (e.g., agent frameworks and protocols such as MCP).
- Own reliability at scale: deterministic execution where needed, idempotency, timeouts/retries, and evaluation‑driven iteration on agent behavior.
- Train, Align, and Evaluate LLMs for Agents. Lead data strategy and curation for agent tasks; drive SFT, DPO, RLHF/RLAIF, and safety tuning tailored to multi‑tool, multi‑step workflows.
- Stand up evaluation harnesses for functional, task, and longitudinal metrics (success rate, time‑to‑completion, hallucination/escape rates, cost/latency).
- Build policy‑driven guardrails; partner with Legal/Security on data governance and privacy.
- Engineer Agentic Platform Backend Infrastructure. Architect low‑latency inference, retrieval, and orchestration services (streaming, event‑driven pipelines; scalable queues; caching; batching) with strong SLOs.
- Ship production‑grade services (APIs/SDKs, auth, rate limiting, observability) that make agent features easy to integrate for internal and external developers.
- Optimize cost/performance via quantization, distillation, model‑routing, and autoscaling; integrate evaluation signals directly into runtime and CI/CD.
- Lead, Partner, and Uplevel the Ecosystem. Provide technical leadership across research, product, and platform teams; mentor senior ICs; influence roadmaps with clear metrics and trade‑offs.
- Publish internal guidance and exemplar implementations; contribute to technical content, samples, and reference architectures for our agent platform.
- Define and track KPIs for data/quality/throughput, and drive continuous improvement using experiment results and production telemetry.
What it takes to catch our eye
- 8–12+ years in applied ML/ML systems with 4+ years building LLM‑powered products; proven delivery of agentic workflows in production.
- Hands‑on mastery of LLM adaptation (prompting, tool/function calling), data curation, and safety/guardrails.
- Strong software fundamentals (distributed systems, transactions, consistency, resiliency) and experience building high‑throughput microservices/APIs/SDKs.
- Fluency with Python; proficiency in one of Go/Java/Javascript a plus. Experience with container orchestration, messaging/streaming, and observability stacks.
- Experience designing eval suites for agents (task/rubric‑based, offline/online) and closing the loop from evals → training → runtime policy.
- Comfort with cost, latency, and reliability trade‑offs; you use metrics to make crisp decisions under ambiguity.
- Familiarity with agent frameworks and protocols (e.g., MCP; API/SDK design for developer productivity).
- Track record of leading cross‑functional initiatives and mentoring senior engineers; excellent written communication and bias for measurable results.
Come change how the world works.
Upwork is establishing its first international operational hub in Lisbon, Portugal. The new office is expected to be fully operational by Q4 2026.This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities. Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.
To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice
Ready to apply?
Apply to Upwork
At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivalled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Website: https://www.reltio.com/
Internship Summary:
- (3 months) internship program.
- Learn how Reltio operates and gain useful skills to take with you in your career from leaders at the company
- Training on Reltio products and platforms to be effective on the job
- Development of scripts/codes and Assist in the design and development of software applications.
- Collaborate with cross-functional teams to understand user requirements and translate them into technical specifications.
- Assist in the documentation of software functionalities and development processes.
- Get involved with live project/team discussions and complete all the assigned tasks on time.
- Working with mentor closely and complete final internship project as expected and within time.
What You Bring to the Team:
- Computer Science and software fundamentals knowledge
- Problem solving
- Good understanding of any of the programming language Java/C++/Python/JavaScript etc.
- Technical ability to work with Engineering teams and understand the technical requirements
- Excellent organization, time management, and communication skills to take initiative and work proactively with minimal supervision
- An entrepreneurial spirit, passionate about what you do, enthusiastic, competitive, disciplined, collaborative, self-motivated with a strong work ethic
- Excellent listener, curious, ability to learn and adapt to new concepts and technologies
- Ability to take direction, be coached and mentored
Benefits:
- Opportunity to solve customer problems related to data unification
- Understand Reltio product and platform very closely
- Transparent, meritocratic, and leadership culture
- Unlimited access to the best technology
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivalled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Website: https://www.reltio.com/
Internship Summary:
- (3 months) internship program.
- Learn how Reltio operates and gain useful skills to take with you in your career from leaders at the company
- Training on Reltio products and platforms to be effective on the job
- Development of scripts/codes and Assist in the design and development of software applications.
- Collaborate with cross-functional teams to understand user requirements and translate them into technical specifications.
- Assist in the documentation of software functionalities and development processes.
- Get involved with live project/team discussions and complete all the assigned tasks on time.
- Working with mentor closely and complete final internship project as expected and within time.
What You Bring to the Team:
- Computer Science and software fundamentals knowledge
- Problem solving
- Good understanding of any of the programming language Java/C++/Python/JavaScript etc.
- Technical ability to work with Engineering teams and understand the technical requirements
- Excellent organization, time management, and communication skills to take initiative and work proactively with minimal supervision
- An entrepreneurial spirit, passionate about what you do, enthusiastic, competitive, disciplined, collaborative, self-motivated with a strong work ethic
- Excellent listener, curious, ability to learn and adapt to new concepts and technologies
- Ability to take direction, be coached and mentored
Benefits:
- Opportunity to solve customer problems related to data unification
- Understand Reltio product and platform very closely
- Transparent, meritocratic, and leadership culture
- Unlimited access to the best technology
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
Senior Infrastructure Engineer (Observability)
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS
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Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)
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Scaling observability infrastructure across multiple data centers and Kubernetes clusters
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Owning logging pipeline architecture and refactoring efforts
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Improving distributed tracing coverage and driving adoption across engineering teams
-
Managing EKS upgrades, node exporters, agents, and collectors
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Automating operational tasks to reduce toil and improve system stability
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Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)
-
Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't
Requirements
Core technical experience:
- 8+ years of industry experience
-
Solid hands-on production experience with observability systems
-
Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)
-
Experience with logging pipelines: design, deployment, and refactoring
-
Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing
-
Experience with Kubernetes cluster lifecycle management (EKS preferred)
-
Practical knowledge of storage trade-offs for observability data at scale
Nice to have
-
Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)
-
Familiarity with AI-assisted tooling selection and workflow integration
-
Experience with MCP (custom or open-source implementations)
-
Background in cloud account or environment migrations
- Experience preparing infrastructure for compliance/audit processes
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Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.
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Experience with containers and Kubernetes (installation and configuration of operators).
-
Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java
Soft Skills / Personal Characteristics
-
Good communication and collaboration skills in international technological companies.
-
Interest in modern big distributed storage technologies, architectures.
-
Good Spoken English to participate in product-related, architectural and technical discussions.
-
Proper balance between being hands-on and deeper analytical approaches
(REQ ID: 2640)
Ready to apply?
Apply to Workato
Senior Infrastructure Engineer (Platform engineering)
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:
-
Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.
-
Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx
-
On-board Workato components & applications to Internal Platform.
-
Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.
-
Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.
-
Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.
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Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.
-
Participate in system design consulting, platform management, and architecture reviews.
-
Document development processes and best practices.
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Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
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Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.
If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!
Requirements
Qualifications / Experience / Technical Skills
-
Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go
-
Experience with creating internal platform tooling, e.g. CLI tools, etc
-
Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.
-
Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.
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Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.
-
Strong understanding of networking fundamentals and web services architecture.
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Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).
-
Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry).
-
Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.
-
BS or MS in the CS field (or equivalent experience).
-
5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer / DevOps / SRE / CICD).
(REQ ID: 2718)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Rust Software Developer. In this role, you will also be responsible to:
-
Building new products inside the company.
-
Develop new code with Rust, and deal with existing Go/Ruby code
-
Create PoC in the new areas and drive them to production or drop them away.
Requirements
Qualifications / Experience / Technical Skills
- Strong experience writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python, Go, JS, Java, etc.)
- Knowledge of basic data structures and algorithms, multiprocessing, memory management.
- Experience developing high-performance asynchronous applications with Rust (preferably tokio).
- Good understanding of network protocols and stacks.
- Good understanding of DB technologies: classic databases and modern no-SQL.
- Basic knowledge of DevOps practices and tools
- Understanding of Linux environment
- Golang/Ruby knowledge is a plus
- Experience working with WASM is a plus
- Open Source contributions is a plus
Soft Skills / Personal Characteristics
- Readiness to work remotely with teams distributed across the world and timezones
- Spoken English (at the level enough to pass the technical interview and later work with colleagues)
- Being a result-oriented problem solver.
- Prefers coming up with proposals in problematic areas, rather than being passive.
- Being open to new technologies and switching between projects.
- Readiness to travel for business
(REQ ID: 2682)
Ready to apply?
Apply to Workato
Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.
Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.
With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!
How you will make an impact:
As a Software Engineer II, Infrastructure on the Queueing and DBOps team, you’ll:
- Help operate the infrastructure behind Iterable’s mission‑critical data systems, including high-throughput Apache Pulsar clusters, RDS Postgres/Aurora, Elasticache/Valkey, and OpenSearch.
- Implement safe, automated patterns for upgrades, migrations, and configuration changes (e.g., blue‑green and rolling deployments) that keep our uptime and data integrity SLOs.
- Build and evolve Terraform/IaC modules and other “golden path” tooling that make it easy for engineering teams to adopt our platforms safely and consistently.
- Partner closely with our backend engineers to provide the infrastructure foundations for libraries and features, including rate limiting, database caching, and CDC pipelines.
You’ll work in a small, high‑impact team where your decisions directly influence Iterable’s reliability, costs, and ability to ship new data-powered features.
What you’ll do
- Run a reliable data infrastructure at scale
- Operate production Pulsar, database, caching, and search clusters with a focus on high availability, performance, and predictable behavior.
- Implement and refine alerting, dashboards, and runbooks to catch issues early and reduce incident MTTR.
- Standardize and automate infrastructure patterns
- Extend and maintain Terraform modules and other shared tooling used across engineering for team-owned services.
- Drive consistency in how environments are provisioned and configured, reducing drift and simplifying audits, upgrades, and troubleshooting.
- Deliver safer upgrades and migrations
- Contribute to zero‑downtime upgrade strategies for all team-owned infrastructure
- Support strategic migrations with high‑quality plans, test coverage, and rollout mechanics.
- Level up reliability and on‑call
- Participate in the on‑call rotation for Queuing and DBOps infrastructure, owning incident response and follow‑ups for your domains.
- Turn incident learnings into durable improvements in tooling, automation, and documentation.
Required Core Competencies & Proficiencies
- Have 2+ years of experience as a Software Engineer, Infrastructure / SRE / Platform engineer, or similar role.
- Have hands‑on experience operating cloud infrastructure (ideally AWS) in production, including at least one of:
- Managed databases (Postgres/Aurora or similar)
- Distributed queues/streaming systems
- Caching systems
- Search or analytics datastores
- Are comfortable writing production code in at least one modern language; experience with Python and/or Golang and/or Java is a plus.
- Have practical experience with Infrastructure as Code (Terraform strongly preferred) and CI/CD pipelines.
- Enjoy debugging complex distributed systems and tracking down performance bottlenecks across services, databases, and queues.
- Communicate clearly with both infra and backend engineers and are comfortable collaborating across teams.
- Bring a growth mindset and a bias toward automation, simplification, and long‑term reliability over one‑off fixes.
What we offer
- Competitive salaries & meaningful equity
- Private Medical Insurance
- Life/Risk Assurance
- Meal Allowance: 8.55€ per day
- Community Days (days for us to give back to the community)
- Paid Annual Leave (22 days)
- Global Lifestyle Reimbursement Account
- Paid Sabbatical
- Complete laptop workstation
Recruitment Disclaimer:
Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:
- Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.
- Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).
- Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.
You may see all job vacancies on our official Iterable channels:
- Official Iterable website, Careers page: https://iterable.com/careers/
- Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/
Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.
Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.
Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.
Ready to apply?
Apply to Iterable
Who we are:
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. 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:
-
1 - 3 years of experience in a customer service/support capacity and troubleshooting technical issues.
- The successful candidate will be responsible for delivering high-level technical support in both English and Portuguese to our regional partners and customers.
-
Post-Secondary Diploma/Degree in Engineering, Computer Science, or a related field.
-
Working knowledge of various programming languages such as SQL, Python, C#, or JavaScript, and data warehouses like Google Big Query.
-
Expert level Excel skills (pivot tables and reports) and technical competence in Google Suite for business.
-
Excellent verbal and written communication skills with comfort speaking with customers via telephone, email, and chat.
-
Ability to work a flexible schedule in a 24/7/365 operation, including days, evenings, nights, weekends, and holidays.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Fantastic state of the art office
Public transportation reimbursement
Employer pension contributions
Generous medical & dental benefits offered to you and family members
Electric vehicle purchase incentive program
Subsidized fitness membership
Co-pay tuition reimbursement
*The above are offered to full-time permanent employees only
How we work:
Ready to apply?
Apply to Geotab
Who we are:
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.
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:
-
1 - 3 years of experience in a customer service/support capacity and troubleshooting technical issues.
- Professional-level proficiency in conducting technical troubleshooting and business communication for the Dutch and German markets
-
Post-Secondary Diploma/Degree in Engineering, Computer Science, or a related field.
-
Working knowledge of various programming languages such as SQL, Python, C#, or JavaScript, and data warehouses like Google Big Query.
-
Expert level Excel skills (pivot tables and reports) and technical competence in Google Suite for business.
-
Excellent verbal and written communication skills with comfort speaking with customers via telephone, email, and chat.
-
Ability to work a flexible schedule in a 24/7/365 operation, including days, evenings, nights, weekends, and holidays.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Fantastic state of the art office
Public transportation reimbursement
Employer pension contributions
Generous medical & dental benefits offered to you and family members
Electric vehicle purchase incentive program
Subsidized fitness membership
Co-pay tuition reimbursement
*The above are offered to full-time permanent employees only
How we work:
Ready to apply?
Apply to Geotab
Technical Support Specialist – DACH and Benelux Markets
Who we are:
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.
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:
-
1 - 3 years of experience in a customer service/support capacity and troubleshooting technical issues.
- Professional-level proficiency in conducting technical troubleshooting and business communication for the Dutch and German markets
-
Post-Secondary Diploma/Degree in Engineering, Computer Science, or a related field.
-
Working knowledge of various programming languages such as SQL, Python, C#, or JavaScript, and data warehouses like Google Big Query.
-
Expert level Excel skills (pivot tables and reports) and technical competence in Google Suite for business.
-
Excellent verbal and written communication skills with comfort speaking with customers via telephone, email, and chat.
-
Ability to work a flexible schedule in a 24/7/365 operation, including days, evenings, nights, weekends, and holidays.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Fantastic state of the art office
Public transportation reimbursement
Employer pension contributions
Generous medical & dental benefits offered to you and family members
Electric vehicle purchase incentive program
Subsidized fitness membership
Co-pay tuition reimbursement
*The above are offered to full-time permanent employees only
How we work:
Ready to apply?
Apply to Geotab