Position Overview

We are seeking a Payload Operations Engineer responsible for operating AST satellite payload subsystems to support constellation service and in-orbit testing. This is primarily a day-staff shift position at the AST Satellite Operations Centers (SOCs), with occasional weekend, holiday, and on-call support to provide 24x7 payload operations.

Key Responsibilities

Payload Operations & Monitoring

• Operate payload tools to create configuration items required for in-orbit testing (IOT) and commercial service.

• Monitor service/test automation and analyze results through telemetry and log evaluation.

• Coordinate payload system configuration changes to maintain commercial service levels.

• Monitor and process payload subsystem telemetry data to ensure subsystem health, including power, thermal, and RF performance.

• Maintain situational awareness of satellite, payload, and ground configuration and status.

Tool & Software Support

• Support development of payload operations tools for efficient automated tasks.

• Work with tool developers for functionality updates and payload software updates.

• Operate SOC operations software tools.

• Support development of automated operations tools.

Coordination & Troubleshooting

• Coordinate troubleshooting with SOC, Network Operations Center (NOC), and subsystem engineers to resolve service issues.

• Participate in daily shift handover briefings.

• Support mission product development including procedure development, testing, and validation.

• Support system readiness, planning, and preparation for satellite in-orbit milestones.

• Attend required training sessions, simulations, rehearsals, conferences, and program reviews.

Qualifications

Education:

• Bachelor’s degree in Engineering, Science, Technology, Engineering, or Math (STEM field).

Experience:

• A minimum of 0–2 years (or equivalent experience); Master’s degree or additional experience preferred.

• Technical understanding of satellite system architecture and subsystem functionality.

• Demonstrated ability to work independently in an evolving system environment.

Preferred Qualifications:

• Experience working with satellite communication payloads.

• Multi-satellite LEO constellation experience.

• Demonstrated ability to drive requirements for concepts of operation.

• Familiarity with version control software (preferably Git) and Atlassian tool suite (Jira, Confluence).

• Programming experience in at least one modern language such as Java, Python, Matlab, or C#.

Soft Skills:

• Excellent oral and written communication skills.

• High level of problem-solving capabilities.

• Ability to adapt to rapidly evolving system requirements.

Technology Stack:

• SOC operations software tools.

• Payload automation and telemetry analysis tools.

• Engineering analysis tools, version control systems, programming languages (Python, Java, Matlab, C#).

Physical Requirements:

• Ability to work in an office and SOC environment.

• Legally able to work in Spain.

• Ability to participate in shift work, including occasional weekends, holidays, and on-call periods.

• Ability to use a computer for extended periods.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

The team:

Proton VPN enables millions of people to connect securely and privately, even in places where the internet is restricted or unreliable. Delivering that experience means our service must perform flawlessly under highly variable, real-world conditions.

We are looking for a Senior Performance Engineer to lead our efforts in making Proton VPN the fastest, most resilient, and most reliable VPN service in the world.

You will define and drive the measurement, analysis, and optimization of Proton VPN’s end-to-end performance, across clients, platforms, and global infrastructure. You’ll help ensure that every connection is fast, stable, and private, regardless of where the user is or what network they’re on.

What you will do: 

• Design and own Proton VPN’s performance framework, defining metrics and KPIs that reflect the real-world experience of users (time-to-connect, throughput, latency, stability, reconnection rates, etc.).
• Develop distributed testing systems that simulate real network conditions, including low bandwidth, packet loss, and high-latency scenarios.
• Continuously measure and analyze performance across platforms (desktop, mobile, backend) and regions to identify bottlenecks and regressions.
• Collaborate with backend, R&D, and client teams to optimize protocol handling, connection setup, routing, and encryption performance.
• Create dashboards, reports, and automated alerts to track global performance health.
• Contribute to the design of resilient connectivity strategies that adapt dynamically to variable network conditions.
• Serve as the performance champion within the engineering organization, mentoring others and driving a data-driven performance culture.

Job requirements: 

Technical Skills

• 5+ years of experience in performance engineering or systems QA, ideally in networking, VPNs, or distributed systems.
• Knowledge of network protocols (TCP/IP, UDP, TLS, WireGuard, debugging, manipulating, and performance profiling tools.
• Proven ability to analyze latency, throughput, and stability metrics across multiple layers (client, OS, transport, application).
• Proficiency in Python (or similar scripting language)
• Familiarity with network emulation and simulation tools (e.g., tc/netem, iperf, IPTables/nfTables…).
• Experience with monitoring and observability stacks (Grafana, Prometheus, Loki) and CI/CD pipelines.
• Cross-platform experience with Linux, macOS, Windows, Android, and iOS preferred.

Bonus points for: 

• Experience with Rust/C/C++/System development

Soft Skills

• Analytical and methodical, yet creative in solving complex performance problems.
• Comfortable working with uncertainty and non-deterministic conditions.
• Collaborative mindset, able to work across client, infrastructure, and data teams.
• Strong communication and documentation skills in English.

What We Offer

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-Onsite

Position Overview

We are seeking an Embedded Software Engineer to develop and maintain the company’s embedded software solutions, working with microcontrollers, RTOS environments, and data-driven tools to support testing, validation, and production systems.

Key Responsibilities:

• Develop and maintain software for the company’s devices.
• Program ARM microcontrollers in C/C++ within RTOS environments.
• Develop testing tools and test benches using Python.
• Process and analyze test data and results for evaluation and validation.
• Develop reporting systems, real-time visualizations, and dashboards.
• Integrate software with production management tools and systems.
• Implement and manage communication protocols including RF, Ethernet, USB, SPI, I2C, and UART.
• Participate in code reviews and ensure software quality.
• Manage technical documentation and version control using Git/GitLab, including submodules and collaborative workflows.
• Contribute to continuous improvement of team processes and methodologies.

Qualifications

Education:

Bachelor’s degree in Electronic Engineering, Computer Engineering, Telecommunications, or a related field.

Experience:

• Experience in embedded software development for microcontrollers and RTOS environments.
• Experience programming in C/C++.
• Experience developing tools and scripts in Python.
• Experience in data processing and analysis.
• Experience developing visualization, reporting, or dashboard tools.
• Experience with Git/GitLab and collaborative development workflows.

Preferred Qualifications:

• Knowledge of FPGA development and related technologies.
• Experience or interest in Artificial Intelligence and Machine Learning, particularly for data analysis, anomaly detection, and models based on PyTorch or TensorFlow.

Soft Skills:

• Proactive, autonomous, and results-oriented mindset.
• Strong analytical and problem-solving skills.
• Good communication skills and ability to work effectively in a team.
• Fluent level of English.

Technology Stack:

• C/C++
• Python
• ARM microcontrollers
• RTOS environments
• Git / GitLab
• Communication protocols: RF, Ethernet, USB, SPI, I2C, UART

Physical Requirements

Ability to work in a standard office environment and use a computer for extended periods.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Scopely is seeking a highly motivated Senior Analytics Engineer to join our Strategy & Business Operations team in Barcelona on a 2 day a week hybrid basis! 

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

The Strategy and Business Operations team works closely with the Senior Leadership of Scopely to answer critical business-related questions. By acting as a strategic partner, the team translates complex data into actionable insights that drive the company's decision-making process and long-term growth.

What You’ll Do  

• Lead and collaborate with engineers, product teams, and analysts to develop self-serve insight products that are responsive, precise, and scalable at petabyte levels
• Oversee the entire data product lifecycle, including designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards
• Act as a guardian of data quality, ensuring consistent metric reporting across a wide range of data products
• Utilize cutting-edge technology stack including BigQuery, dbt and Looker
• Provide technical leadership and partner with our stakeholders and their teams to enhance their daily operations and product success.
• Bring expertise in a specific part of the data stack and lifecycle while contributing broadly across all aspects
• Mentor team members and drive the adoption of best practices within the team

What We’re Looking For  

• A strong passion for solving complex analytical puzzles
• Proven ability to translate business needs into advanced analytics solutions
• Deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, Terraform, command line-based workflows)
• Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles
• Demonstrate a solid proficiency in Python, with the ability to write clean, maintainable scripts to automate data workflows, perform exploratory data analysis and integrate various data sources within our modern tech stack.
• Solid understanding of data modeling principles (e.g., Kimball methodology, star schemas)
• A high valuation of business context and the drive to achieve technical excellence
• An inclination towards collaboration and pride in contributing to high-functioning teams
• Enjoyment in working within fast-paced, growth-oriented environments
• A sense of fun at work, with extracurricular interests like Ping Pong or Mario Kart seen as a bonus!

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!  

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.    

Position Overview:

We are seeking a highly skilled and experienced Principal Economy Manager to join our team in Barcelona. Reporting directly to the Director of Economy and working closely alongside another Lead Economist, you will operate as a centralized expert resource across three different studios.

Unlike traditional game economy roles focused on a single title, you will lead economic strategy and systems design on a project basis, supporting various games across our extended portfolio. While this is a high-level Individual Contributor role with no direct reports, your leadership impact will be massive. You will analyze each game, identify key opportunities and challenges, and build sustainable solutions while elevating our internal economy practices. You will establish best practices, develop robust frameworks, and mentor embedded game teams so they can eventually own and manage their economies independently.

This role is highly strategic and deeply hands-on: blending advanced research, complex system design, cross-studio collaboration, and technical mentorship.

What You'll Do:

You aren't just working on one game; you are a key economic architect across three studios. You will step into different projects to diagnose economic health, design robust pricing and reward systems, and empower local teams to execute your designs.

• Drive Cross-Studio strategy: Serve as the shared expert supporting multiple games across distinct studios. You will take ownership of the economic design phase for targeted projects, identifying gaps and implementing tailored solutions to drive engagement and business performance.

• Collaborate at the highest level: Work in tandem with another Lead Economist and report directly to the Director of Economy to align on portfolio-wide strategies, tackle complex systemic challenges, and ensure consistent design standards across all studios.

• Mentor and Empower teams: Act as a technical leader and mentor for game-level economy designers and PMs. While you won't have direct reports, you will lead through influence, training internal teams on advanced economic frameworks and ensuring they have the tools to manage their game's economy long-term.

• Design and simulate: Leverage your quantitative expertise to build complex predictive models, run simulations, and design A/B tests that validate your design decisions and forecast the impact of new features.

• Bridge the gap globally: Drive cross-functional efforts with Product Managers, Data Scientists, and Engineers across different teams and geographies, acting as a technical bridge to ensure seamless execution from concept to live ops.

What You Bring:

• A Bachelor's or Master's degree in Economics, Math, Statistics, or a related quantitative field, paired with a proven track record of designing and optimizing complex game economies at a senior or lead level.

• Advanced analytical skills with a "must-have" mastery of Excel. Experience with SQL, R, or Python is a significant advantage for deep-dive research and modeling.

• Demonstrated ability to drive strategic initiatives and upskill junior or mid-level talent across multiple studios or departments without formal reporting lines. You excel at matrix leadership and cross-functional collaboration.

• A deep-seated interest in Free-to-Play mechanics and a sophisticated understanding of how to balance player experience with sustainable monetization.

Bonus Points:

• Additional background in Monetization strategy to complement your economic expertise.

• Experience working on large-scale online, social, or multiplayer games.

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week

• A generous 25 days of annual leave, plus public holidays

• Private medical insurance for you and your family to keep your health bar full

• Disability and life insurance

• Choose from the latest iOS or Android device when you join (phone or tablet)

• Free language lessons in English, Spanish and Catalan

• Spotify Premium to add the perfect soundtrack to your adventure

• Legendary social events and parties to let off some steam

• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)

• Professional development budget for skills training

Onsite perks include:

• State-of-the-art gym facilities

• Free breakfast, lunch, and specialty coffee

• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

Scopely is looking for a Senior Security Compliance Engineer to join our Information Security team in Barcelona on a hybrid basis working 2 days a week from the hub.

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

The IT/Ops team keeps everything behind the scenes running smoothly and we make sure all teams are equipped and connected - whether across the office or halfway around the world. AV struggles? Don’t worry, we’ve got this.

What You Will Do 

In this role, you will help design, build, and scale privacy-aware and compliance systems across a global technology organization. You will combine technical execution with a strong understanding of privacy and regulatory requirements to build practical, reliable solutions that support both the business and our players.

You will work closely with cross-functional partners across Security, Legal, Engineering, Product, and Player Experience to embed privacy by design into systems, services, and workflows. This is an exciting opportunity for someone who enjoys solving complex problems, building automation, and turning privacy requirements into scalable engineering solutions.

• Embed privacy by design into product, platform, and operational workflows
• Design, build, and improve privacy engineering capabilities that support data subject rights requests, data lifecycle management, and regulatory compliance
• Translate legal and regulatory requirements into technical requirements, engineering patterns, and actionable implementation guidance
• Build and maintain tools, services, and automations in Python to support privacy and compliance operations
• Support workflow orchestration and automation using Temporal or similar platforms
• Work in AWS and similar environments to operate secure, scalable, and reliable privacy-related systems and integrations
• Write and deploy SQL to archive or purge data, and to locate, review, and document data for privacy requirements
• Partner with engineers and architects to implement data solutions that enable the business while protecting sensitive data
• Conduct privacy assessments, identify risks, and help drive mitigation efforts through tools, training, and guidance
• Review new systems, features, and data flows for privacy impact, and partner with teams to design technical controls that reduce privacy risk
• Partner with product and engineering teams to design privacy-preserving solutions, including controls for data minimization, retention, deletion, and access
• Manage projects and enhancements from requirements gathering through delivery and stakeholder communication
• Improve documentation, reporting, evidence collection, and operational processes that support broader compliance efforts
• Identify opportunities to reduce manual work, improve data quality, and strengthen consistency through automation

What We’re Looking For 

• 5+ years of experience in information security, privacy, compliance, or a related technical role
• Hands-on experience building or maintaining solutions in Python
• Strong background in software engineering, backend systems, security, data engineering, or data architecture
• Experience with AWS and cloud-based architectures
• Experience with Temporal or similar workflow orchestration tools
• Working knowledge of APIs, JSON, SQL, and related technical tooling
• Strong understanding of privacy engineering principles, privacy by design, and technical implementation of data subject rights and data lifecycle controls
• Working knowledge of privacy regulations such as GDPR
• Familiarity with security and compliance frameworks such as ISO 27001, NIST, or COBIT.
• Experience working cross-functionally with Legal, Security, Product, and Engineering teams
• Strong communication skills, including the ability to explain technical concepts to non-technical audiences
• Strong organisational skills and the ability to manage multiple priorities in a fast-paced, global environment
• Excellent analytical, problem-solving, and collaboration skills
• Experience leveraging or building AI-enabled tools to enhance GRC processes, including developing AI assistants or automation workflows to improve regulatory monitoring, documentation, and control oversight
• Ability to navigate ambiguity, balance risk, and quickly learn new technologies
• Experience working with data systems and large datasets, including understanding data flows, retention, deletion, and access patterns

Bonus Points 

• Experience with DSR, DSAR, or privacy operations platforms
• Graduate-level study in privacy engineering
• Experience in gaming, entertainment, or another consumer technology environment
• Experience working with internationally distributed teams
• Certifications such as CIPT, CIPP, CIPM, CISSP, CISA, CRISC, or FAIR

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.    

Are you eager to learn new technologies? Do you appreciate a free working environment where you get a high level of decision-making authority but also the support you needed? Can you turn business requirements into excellent technical solutions leveraging Adobe technologies? And would you like to work with some of the world’s most skilled marketing automation developers on one of the most advanced CRM/marketing platforms? Then you might be just the one we are looking for!

What will your day look like?

In the role as an Adobe Developer, you are responsible for understanding the technical structure of a project. Your job will be to identify client requirements by researching concept, strategy, and target for the project, followed by designing, developing, and implementing robust solutions leveraging Adobe marketing platforms.

Furthermore, your tasks include:

• Leading the implementation of new features, bug fixes, and complex configurations within Adobe environments.
• Collaborating with Architects and Technical Project Managers to translate client requirements into precise technical specifications, estimates, and deployment plans.
• Conducting in-depth technical investigations, troubleshooting issues, and proposing effective solutions, often involving advanced programming and integration.
• Mentoring and providing technical guidance to Associate and other Developers on complex tasks, coding best practices, and problem-solving techniques.
• Ensuring the successful integration, testing, and deployment of client applications and platforms, applying rigorous quality assurance methods.
• Staying abreast of industry trends and emerging technologies, especially within the Adobe ecosystem, to continually enhance our offerings and provide innovative solutions.
• Acting as a go-to resource for technical challenges, proactively engaging in discussions with clients and internal teams to find the best approach.

Who are you going to work with?

You will become part of an exciting and challenging professional environment, working closely with Architects, Application Consultants, Technical Project Managers, and other Developers (including Associate, Senior, Lead, and Principal levels) within the technical team. You will also collaborate with Data Specialists and Designers outside of your department. Our common feature is that we all are competent, respectful teammates who go the extra mile to help one another.

We value room for diversity, and you will get a chance to put a personal touch on your daily tasks while developing your professional skillset. We are proud of our multicultural environment and easy-going, dynamic atmosphere where we not only work together – we are great at having fun as well.

What do you bring to the table?

You are an outgoing and self-motivated person who contributes positively to the working environment with your team-player attitude. Your previous experience with being a trusted advisor for clients and colleagues means that you are not afraid to express your opinion, and your organized approach helps you meet deadlines and break down projects into manageable chunks.

In addition, you have:

• 4+ years of hands-on development experience, ideally within an agency or consulting environment, with a strong focus on digital marketing solutions.
• Proven expertise with Adobe Experience Cloud platforms, such as Adobe Journey Optimizer (AJO), Adobe Campaign Classic, Adobe Marketo Engage, Adobe Analytics, Adobe Experience Platform (AEP), Adobe Target (AT).
• Strong proficiency in front-end and back-end technologies including JavaScript, HTML, XML, CSS, and SQL, along with experience in other programming languages (e.g., Python, Java) and API integrations.
• Active Adobe certifications such as AJO Developer Expert, RTCDP Developer Expert, Adobe Campaign Classic Developer Expert, Adobe Campaign Standard Developer Expert
• Experience with code versioning systems, automated integration testing, security testing, and secure coding practices.
• Deep understanding of data models, optimization techniques, and GDPR principles.
• Excellent communication skills (in English), with the ability to articulate complex technical concepts to diverse audiences (technical and non-technical).
• A proactive and collaborative mindset, with a strong commitment to continuous learning, problem-solving, and a growth mindset.

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.

Position Overview

We are seeking a highly skilled and detail-oriented Electronic Test Technician to support the testing, validation, and troubleshooting of advanced electronic assemblies and systems. This role is critical to ensuring product performance, reliability, and quality throughout development and production phases. The ideal candidate will have strong hands-on technical experience, solid diagnostic skills, and the ability to operate effectively in a fast-paced engineering and manufacturing environment.

Key Responsibilities:

• Perform functional, validation, and acceptance testing of electronic assemblies and PCBAs.
• Execute test procedures, record data, and document results in accordance with internal quality standards.
• Troubleshoot and diagnose electrical and electronic failures down to the component level.
• Support product development, verification testing, and production testing activities.
• Operate and maintain electronic test equipment including oscilloscopes, spectrum analyzers, power supplies, signal generators, and data acquisition systems.
• Assist engineers with test setup development, fixture assembly, and process improvements.
• Interpret schematics, wiring diagrams, and technical documentation.
• Ensure compliance with ESD, safety, and quality procedures.
• Identify and escalate recurring test failures or process issues.
• Contribute to continuous improvement initiatives within test operations.

Qualifications

Education:

Relevant studies or technical training in electronics or a related field.

Experience:

A minimum of 3–5 years of hands-on experience in electronic testing within a manufacturing, industrial, or high-reliability environment. Equivalent combinations of education and experience will be considered.

Preferred Qualifications:

• Experience working in a regulated or high-quality manufacturing environment.
• Familiarity with environmental or stress testing methods.
• Experience supporting RF or high-frequency electronic systems.
• Previous experience working in controlled production environments.

Soft Skills:

• Strong analytical and problem-solving skills.
• Meticulous attention to detail to ensure accuracy of all test data and documentation.
• Proven ability to collaborate effectively within cross-functional teams.
• Strong organizational and time-management skills in a deadline-driven environment.
• High level of accountability and commitment to quality and safety.

Technology Stack:

• Oscilloscopes
• Spectrum analyzers and RF test equipment
• Digital multimeters and programmable power supplies
• Data acquisition (DAQ) systems
• LabVIEW, Python, or other basic test automation tools
• Microsoft Office Suite
• Electronic documentation systems

Physical Requirements

• Ability to work in a laboratory or production environment.
• Ability to sit or stand for extended periods while performing testing activities.
• Manual dexterity required for handling small electronic components and connectors.
• Ability to use a computer for extended periods.
• Ability to wear protective equipment.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking a Payload Operations Engineer responsible for operating AST satellite payload subsystems to support constellation service and in-orbit testing. This is primarily a day-staff shift position at the AST Satellite Operations Centers (SOCs), with occasional weekend, holiday, and on-call support to provide 24x7 payload operations.

Key Responsibilities

Payload Operations & Monitoring

• Operate payload tools to create configuration items required for in-orbit testing (IOT) and commercial service.

• Monitor service/test automation and analyze results through telemetry and log evaluation.

• Coordinate payload system configuration changes to maintain commercial service levels.

• Monitor and process payload subsystem telemetry data to ensure subsystem health, including power, thermal, and RF performance.

• Maintain situational awareness of satellite, payload, and ground configuration and status.

Tool & Software Support

• Support development of payload operations tools for efficient automated tasks.

• Work with tool developers for functionality updates and payload software updates.

• Operate SOC operations software tools.

• Support development of automated operations tools.

Coordination & Troubleshooting

• Coordinate troubleshooting with SOC, Network Operations Center (NOC), and subsystem engineers to resolve service issues.

• Participate in daily shift handover briefings.

• Support mission product development including procedure development, testing, and validation.

• Support system readiness, planning, and preparation for satellite in-orbit milestones.

• Attend required training sessions, simulations, rehearsals, conferences, and program reviews.

Qualifications

Education:

• Bachelor’s degree in Engineering, Science, Technology, Engineering, or Math (STEM field).

Experience:

• A minimum of 0–2 years (or equivalent experience); Master’s degree or additional experience preferred.

• Technical understanding of satellite system architecture and subsystem functionality.

• Demonstrated ability to work independently in an evolving system environment.

Preferred Qualifications:

• Experience working with satellite communication payloads.

• Multi-satellite LEO constellation experience.

• Demonstrated ability to drive requirements for concepts of operation.

• Familiarity with version control software (preferably Git) and Atlassian tool suite (Jira, Confluence).

• Programming experience in at least one modern language such as Java, Python, Matlab, or C#.

Soft Skills:

• Excellent oral and written communication skills.

• High level of problem-solving capabilities.

• Ability to adapt to rapidly evolving system requirements.

Technology Stack:

• SOC operations software tools.

• Payload automation and telemetry analysis tools.

• Engineering analysis tools, version control systems, programming languages (Python, Java, Matlab, C#).

Physical Requirements:

• Ability to work in an office and SOC environment.

• Legally able to work in Spain.

• Ability to participate in shift work, including occasional weekends, holidays, and on-call periods.

• Ability to use a computer for extended periods.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

About the Opportunity

Traits:

• Actively help yourself (and others) be successful
• Continuously learn and challenge the status quo
• Think globally, act locally
• Strong bias for action
• Give and receive open, direct and timely feedback

What’s in it for you:

• Accelerate your career growth by joining one of Europe’s most talked about disruptors.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. 
• Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. Some roles may require additional in-office presence.
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.    
• Additional day of annual leave for each year of service.  
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds. 
• A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. 

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Sounds good? Apply now for this position.

Equal Opportunities:

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.

We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com. 

Visit our website to learn more about Diversity, Equity, & Inclusion at N26.

About the Opportunity

We are seeking a Senior Site Reliability Engineer to join the Platform Engineering Domain in the Access Team.

The mission of Platform Engineering is to provide trusted, performant, self-service platforms that empower product teams to build “the bank the world loves to use.” Access Team’s mission is to ensure secure, seamless, and compliant access to that infrastructure. We build the gateway between our engineers and our cloud resources.

As one of the first banks completely hosted in the cloud, our security and compliance standards are industry-leading. We don’t just use a modern stack; we build sophisticated access solutions like JIT (Just-In-Time) provisioning and Privileged Access Management (PAM) to protect our customers and our data.

In this role, you will:

Be responsible for designing and maintaining the systems that govern how humans and services access our AWS environment. You will ensure that access is "least-privilege" by default, automated, and audit-ready.

More specifically, you will:

• Manage and scale our Teleport infrastructure for secure access to servers, databases, and Kubernetes clusters.
• Develop and maintain automated Identity and Access Management (IAM) workflows within AWS.
• Implement and improve Just-In-Time (JIT) access solutions to reduce our permanent attack surface.
• Collaborate closely with the Cloud Control team to integrate security policies into the core infrastructure provisioning process.
• Automate authorization flows to ensure regulatory compliance without slowing down engineering velocity.
• Maintain and improve our Infrastructure-as-Code (Terraform) for all access-related components.
• Support internal and external audits by providing technical evidence and ensuring our access protocols meet strict regulatory standards; proactively identify gaps in our current access landscape and drive initiatives to remediate them.
• Create monitors and alerts for access patterns, diagnosing and resolving issues related to authentication and authorization services.

What you need to be successful:

Background and skills:

• Production expertise in Amazon Web Services (AWS), specifically with IAM, Organizations, and Multi-account security.
• Hands-on experience with Access Management tools, preferably Teleport, or similar PAM/JIT solutions.
• Strong experience with Terraform for managing cloud resources and security policies.
• Solid understanding of Linux systems and networking fundamentals (OIDC, SAML, SSH, TLS, TCP/IP).
• Experience programming in Go and/or Python to automate security workflows.
• Familiarity with compliance frameworks and a proven ability to translate audit requirements into technical solutions.
• Experience with container orchestration (Docker, Kubernetes) from an access and RBAC perspective.
• A "Security-first" mindset with a proactive approach to solving complex permission issues.
• Good communication skills and the ability to work autonomously within a fast-paced environment.

Traits:

• Independently lead tech projects
• Lead and promote technical discussions with engineering audiences
• Mentoring & support of Junior & Mid-level engineers
• Review, assessment & improvement of the current team tool landscape
• Advancements in code quality practices, security awareness and monitoring
• Build up knowledge of production data and its analysis
• You are on top of incidents, generate learnings and follow up
• Deepest understanding of everything built by the team
• Leading specialist activities, drive tech projects independently
• Bring architectural & technical debt issues into the backlog
• You see the delivery of your team in a broad, domain-wide context
• Building bridges to other areas and be the glue in your own team
• Take full responsibility for your work and projects you participate
• Mature & solution-oriented tech counterpart in any discussion

What’s in it for you:

• Accelerate your career growth by joining one of Europe’s most talked about disruptors.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. 
• Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. Some roles may require additional in-office presence.
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.    
• Additional day of annual leave for each year of service.  
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds. 
• A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. 

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Sounds good? Apply now for this position.

Equal Opportunities:

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.

We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com. 

Visit our website to learn more about Diversity, Equity, & Inclusion at N26.

What You’ll Do

• Design, develop and evolve our AWS-based database deployments with a focus on scaling and automation
• Take ownership of database performance - pro-actively identify bottlenecks, improve configurations and work with other engineering teams to tune applications
• Design, develop and test backup and disaster recovery processes to ensure they are robust and reproducible
• Build scalable, robust solutions for complex technical challenges, ensuring infrastructure design aligns with best practices and long-term platform goals.
• Promote engineering excellence and contribute to team knowledge sharing and process improvements.

Who You Are

• 3+ years of hands-on experience building and managing database infrastructure in AWS (Aurora MySQl, Aurora Postgres, DynamoDB, Lambda, KMS, IAM and related services).
• Deep understanding of SQL, as well as MySQL and/or PostgresQL specific features
• Ability to design and implement lightweight scripts / glue code in bash, python or go
• Additional experience with Metabase, Opensearch or MongoDB Atlas is beneficial.
• Expertise in Docker, Kubernetes, and Infrastructure as Code (Terraform).
• Proven experience deploying, maintaining, and scaling critical cloud infrastructure components in production environments.

📍Madrid or Barcelona, Spain  | 💰 €77,000 - €94,000 + Incentive Awards tied to your performance ➕ benefits

⭐ About the team:

Our Borrowing (lending) business is growing rapidly across both existing products and the planned launch of new initiatives. We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal.

We’re looking for a Credit Risk Manager to help drive the credit and growth strategy for our consumer lending products as we grow our business in Spain. You will lead a team of analysts responsible for developing the credit and pricing strategies as we bring our products to market across the EU.

Our credit teams are part of our Data Discipline which drives a strong culture of data-driven decision making across the whole company. We’re great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives analysts the head space to focus on more impactful business questions and analyses.

Join a team where your ideas can rapidly transform into reality, leveraging our cutting-edge technology and agile ways of working. Our credit analysts and managers are fully embedded into a product squad alongside Product Managers, Engineers, Designers, Marketers, Customer Researchers, Data Scientists etc. This enables us to solve customer problems in a fast paced and innovative way.

🔑You'll play a key role:

• Lead a team of analysts that will develop credit and pricing strategies for our Borrowing products and distribution channels
• Work closely with Borrowing squad leadership to develop and execute an ambitious growth strategy 
• Collaborate with people from engineering, marketing, product, risk and control to design and deliver new products and customer journeys
• Lead the development and maintenance of the NPV models and affordability strategies that underpin the Borrowing underwriting decisions
• Monthly monitoring and reporting on Borrowing performance to stakeholders up to executive level
• Build, maintain and own the database tables and dashboards that provide insights and promote rapid, data-driven decisions.
• Collaborate with the Decision Science team to maximise value from our internal and external data through cutting-edge ML models
• Promote a culture of proactive, high quality analysis and ensure we have the right credit capabilities, infrastructure and talent in place to scale safely

🤩 You should apply if:

• What we’re doing here at Monzo excites you!
• You have extensive experience in unsecured lending in Spain
• You have a deep understanding of lending economics and have experience developing and deploying underwriting strategies and credit models.
• You have strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus.
• You have experience with the development and maintenance of NPV models
• You have a strong understanding of the regulations that apply to lending in Spain.
• You have track record leading and developing analytical teams
• You thrive in a fast-paced environment and are keen for the chance to improve our products and help ship changes to our customers
• You are a strong communicator, able to cut through complex problems and articulate decision points, particularly to senior leadership.
• You have experience in project management and coordination across teams.
• You work well collaborating in a team with diverse skill-sets and personality types.
• You are highly motivated and energised by the idea of bringing a positive impact to our customers and Monzo.

We're on the look out for L60 Credit Risk Managers at the moment, you can read more in our Data Progression Framework

🙌What’s in it for you

💰A base salary of €77,000 - €94,000 + Incentive Awards tied to your performance

📍This role will have a hybrid working model, based in our Barcelona or Madrid office 2 - 3 days a week.

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

🏝 Annual Leave - 38 days including public holidays

📚€1,200 learning budget each year to use on books, training courses and conferences.

🏥Private healthcare scheme

💛Wellbeing benefits: financial education, women’s and men’s health support, mental health benefits, including coaching and counselling

🌈 The application journey has 3 key steps

• Recruiter call 
• Initial call with the hiring manager 
• Final loop of interviews (x3)

This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

If you're successful in applying for this role, we'll work with you to find a start date. In some cases, there might be a delay in when you can be released from your current role so that we can make sure things continue to run smoothly. We’ll be sure to communicate this with you and keep you updated.

#LI-MOS1

Who we are

The role

At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and real-world robustness.

You will be part of a team pushing the boundaries of autonomous robotics through reinforcement learning. Your work will focus on designing, training and deploying RL-based controllers for robots operating in complex, unstructured, and dynamic real-world environments — where classical control approaches fall short. This includes enabling robots to perceive and understand their surroundings by fusing rich sensory inputs, including vision, to inform robust and adaptive control. You will own the full pipeline from simulation to deployment, ensuring that learned policies are robust, efficient, and ready for real-world operation under tight hardware constraints.

You should apply if you

• Hold an MSc or PhD in Robotics, Machine Learning, Control Engineering, or a closely related field, with a strong focus on reinforcement learning and robot control.

• Have hands-on experience training and deploying RL-based controllers on real robotic hardware, not just in simulation — you have seen your policies fall, iterate, and ultimately succeed on a physical system.

• Are deeply familiar with modern RL techniques for continuous control, including but not limited to: model-free methods (PPO, SAC, TD3), model-based RL, hierarchical RL, sim-to-real transfer strategies, domain randomisation, and curriculum learning.

• Have a solid understanding of robot dynamics, kinematics, and classical control theory (e.g. PID, model predictive control, trajectory optimisation), and know when and how to combine them with learned approaches.

• Are proficient in building and working with physics-based simulators (e.g. MuJoCo, Isaac Gym/Isaac Lab, PyBullet, Gazebo) for training and validating RL policies.

• Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust or modern C++, and have experience deploying AI software to production including testing, QA, and monitoring.

• Have excellent communication skills and the ability to report and present research findings clearly and efficiently, both internally and externally.

• Are passionate about keeping up to date with current research and enjoy re-implementing and extending state-of-the-art papers.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• PhD in Robotics, Reinforcement Learning, Control Engineering, or related fields, with publications in top-tier venues (e.g. CoRL, ICRA, NeurIPS, ICLR, IROS, RSS).

• Experience developing controllers for highly dynamic robotic systems operating under complex contact interactions and demanding environmental conditions.

• Experience with vision-based perception for robotics control, such as depth estimation, visual odometry, or visuomotor policy learning.

• Familiarity with low-level motor control interfaces and real-time embedded systems constraints.

• Experience with online adaptation and meta-learning techniques to enable robots to adapt to changing environmental conditions

• Experience with sensor fusion (IMU, proprioception, exteroception, vision) to inform and enhance learned control policies.

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

About Proton

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

The team:

Join a world-class Linux engineering team at the forefront of privacy-focused open-source development, where your contributions directly impact millions of users worldwide. Our engineers are passionate problem-solvers who thrive in a fast-paced, collaborative environment, tackling complex technical challenges with creativity and rigor. We value autonomy, technical excellence, and a shared commitment to building software that genuinely makes the world a safer place. If you are driven by purpose and love working alongside exceptionally talented people, you will feel right at home here.

What you will do:

• Design, develop, and maintain robust automated test frameworks and pipelines for Linux-based open-source software

• Write and execute functional, integration, regression, and end-to-end test suites to ensure product reliability and security

• Collaborate closely with developers to define testability requirements and integrate automated tests into CI/CD workflows

• Identify, document, and track software defects, working with engineering teams to drive timely resolution

• Perform exploratory and risk-based testing with a strong focus on privacy, data integrity, and security compliance

• Develop and maintain test infrastructure, including virtual machines, containers, and Linux environment configurations

• Analyze test results, generate reports, and provide actionable insights to improve software quality and release confidence

• Contribute to the continuous improvement of QA processes, tools, and best practices across the engineering organization

• Participate in code reviews for test code, ensuring maintainability, scalability, and adherence to engineering standards

• Stay current with the latest Linux ecosystem developments, testing methodologies, and open-source tooling

What we are looking for:

• 3–5 years of hands-on experience in software test automation, with a strong focus on Linux-based environments

• Solid proficiency in at least one scripting or programming language commonly used for test automation, such as Python, Bash, or Go

• Proven experience designing and maintaining automated test frameworks (e.g., pytest, Robot Framework, or similar)

• Good understanding of CI/CD pipelines and experience integrating automated tests with tools such as GitLab CI, Jenkins, or GitHub Actions

• Familiarity with containerization and virtualization technologies, including Docker, QEMU, or similar tools for test environment management

• Solid knowledge of Linux internals, system administration, and command-line tooling

• Experience with version control systems, particularly Git, and comfort working in an open-source collaborative development model

• Understanding of software security principles and privacy-by-design concepts is a strong plus

• Ability to read and understand application source code to improve test coverage and identify edge cases

• Strong analytical and problem-solving skills, with a structured and detail-oriented approach to quality assurance

• Good communication skills and ability to work effectively in a remote, internationally distributed team

• A genuine passion for open-source software, privacy, and building technology that has a positive impact on society

What We Offer:

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)

• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.

• Technology: you'll get the right hardware and the right software you need to do your best work.

• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.

• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day

• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building

• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.

• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.

• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

Salary range (Vilnius) - 46.100 - 60.000 EUR gross annual 

#LI-Onsite

We are looking for an Specialist System Administrator Linux for the Hosting Technology team: 

Key responsibilities

• Platform Management: Build, maintain, and optimize large-scale Linux platforms and Ceph storage clusters.

• Continuity & Support: Provide Level 3 support, working closely with Level 2 teams and participating in on-call rotations (approx. 1 week every 6) after an initial adaptation period.

• Knowledge Transfer: Collaborate with colleagues in Cologne (Germany) to absorb institutional knowledge of legacy systems and document critical processes.

• Continuous Improvement: Identify performance bottlenecks and propose/implement proactive improvements to the existing architecture.

What we'd like to see

• Experience: Minimum of 3 years in Linux systems administration, with at least 1-2 years in team leadership or technical management roles.
• Storage: Proven experience operating Ceph clusters.
• Automation & Configuration: Strong command of configuration management tools (Puppet, Saltstack) and orchestration tools (Ansible, Terraform).
• Scripting: Advanced proficiency in BASH and Python.
• Cloud & Virtualization: Hands-on experience with OpenStack.
• Observability: Proficiency with monitoring tools such as Prometheus and Grafana.

Expectations

• Being part of a multidisciplinary team passionate about technology, with an open and dynamic culture, where experimentation and discussion are encouraged to progress at work, always with respect and inclusion.
• We offer personalised career plans, annual performance evaluations and programmes to develop skills.
• We operate in Spanish and English and therefore provide unlimited language training. We work on international projects and define best practices with United Internet partners.
• We have flexible start and finish times, respecting a schedule of meetings in the central part of the morning and a range of work from 7 a.m. to 9 p.m. with a hybrid model in one of our offices (Alcobendas, Valencia, Barcelona, Seville or Logroño).

At Arsys we value diversity and welcome all applications regardless of, for example, gender, nationality, ethnic or social origin, religion, disability, age, as well as sexual orientation and identity, physical characteristics, marital status or any other irrelevant factor subject to applicable law.

Mission of the role

You will be part of the team responsible for operating one of the largest and most complex hosting platforms in Europe.

Your mission will be to ensure the stability, performance, and evolution of the Stretch platform, working directly on critical production systems and contributing to the continuous improvement of a highly distributed infrastructure.

This is a strongly technical role with hands-on impact at scale, where your work will directly influence service quality and platform evolution.

You will collaborate closely with Hosting Technology teams and other web hosting teams within IONOS, with frequent interaction with international colleagues—particularly in Germany—to consolidate knowledge of existing systems.

 Responsibilities

• Operation, maintenance, and evolution of large-scale Linux infrastructure.
• Advanced (Level 3) support for complex platform incidents.
• Automation of processes using scripting (BASH, Python) and infrastructure tools.
• Operation and management of distributed storage systems (Ceph).
• Monitoring and analysis of the platform using observability tools (Grafana and similar).
• Continuous improvement of system architecture and stability.
• Collaboration with international teams to absorb knowledge from legacy systems.
• Participation in on-call rotation.

 Professional profile

Must have

• +3 years of experience in Linux system administration.
• Strong scripting skills in BASH and Python.
• Experience with configuration and automation tools:
  • Puppet or SaltStack
  • Ansible or Terraform
• Hands-on experience operating Ceph storage clusters in production environments.
• Experience with monitoring and observability tools such as Grafana.
• Fluent English, required for international communication.

Nice to have

• Knowledge of SQL databases (MySQL, PostgreSQL).
• Solid understanding of networking fundamentals.
• Experience with container technologies (Docker/Kubernetes).
• Knowledge of CI/CD pipelines.
• Experience in highly distributed or high-availability environments.

Soft skills

• Technical curiosity and continuous learning mindset.
• Ability to work in complex environments with incomplete documentation.
• Pragmatic approach to problem solving.
• Team player in international environments.
• Proactive attitude to independently build technical context.
• Participation in an on-call rotation (approx. 1 week every 6).

 Benefits

• Hybrid working model across any of the Arsys offices in Logroño, Alcobendas, Valencia, Barcelona, or Seville, with broad flexible working hours aligned with team coordination needs.
• Opportunity to work on one of the most advanced and large-scale hosting platforms in Europe.
• Direct exposure to highly complex distributed systems at significant scale.
• International technical environment with cross-country collaboration.
• Participation in critical projects with direct impact on service stability.
• Continuous training and professional development within a global technology organization.

At Arsys we value diversity and welcome all applications regardless of, for example, gender, nationality, ethnic or social origin, religion, disability, age, as well as sexual orientation and identity, physical characteristics, marital status or any other irrelevant factor subject to applicable law.

We are seeking an experienced and strategic Analytics Manager to lead the Everyday Banking domain (Payments, Cards, and Core Account Lifecycle) , one of our cross-functional areas shaping the development of one of the world's leading FinTech products.

About the opportunity

As an Analytics Manager, you will own the analytics strategy and execution for our Product & Business Segments within the respective domain.

You are responsible for ensuring data is at the core of decision-making, fostering a strong data culture, and enabling teams to deliver measurable business impact. You will work in a cross-functional setup, leading a team of ~4 data analysts while partnering closely with engineers, designers, product managers, and senior business stakeholders.

This is a hands-on leadership role, where you are expected to split your time between:

• ~50% individual contribution, focusing on the most complex and high-impact analytical problems
• ~50% team leadership and management, ensuring your team delivers high-quality work and continues to grow

In this role, you will:

Help us set the right goals: Define and align domain-level KPIs and OKRs, ensuring teams are focused on the highest-impact opportunities. Establish frameworks that connect product initiatives to measurable business outcomes.

Inform product roadmap:Drive the analytics roadmap for your domain, proactively identifying strategic opportunities, risks, and trends. Ensure insights consistently shape product and business strategy across multiple teams.

Be a strategic partner: Act as a trusted advisor to senior stakeholders, influencing decision-making through high-level insights and clear recommendations. Translate complex data into business strategy.

Handle stakeholders: Own relationships with senior stakeholders across Product, Marketing, Tech and Leadership. Align cross-functional priorities and ensure analytics work is tightly integrated with broader business goals.

Evaluate initiatives: Oversee experimentation and measurement strategy across teams. Ensure robust test design, execution, and interpretation, maintaining a high bar for analytical rigor and business relevance.

Contribute to self-serve data platform: Drive the development of scalable analytics foundations in partnership with engineering. Ensure teams have access to reliable data, tools, and frameworks to independently generate insights.

Provide monitoring tools: Ensure the team delivers high-quality dashboards and monitoring systems that track performance against company OKRs. Define standards for clarity, usability, and impact.

Improve data literacy of organisation: Scale data literacy across the organization by enabling teams to better understand and use data. Establish training programs, frameworks, and best practices that empower self-serve analytics.

Be part of our data-community: Lead collaboration across analytics teams, contributing to shared standards, tooling, and strategic initiatives. Act as a thought leader within the broader data organization.

Support some of the following product & business team initiatives (not limited to):

• Guide teams in discovering new product opportunities, identifying user friction points, and prioritizing high-impact initiatives
• Ensure continuous product releases are evaluated against business goals using robust analytical methods
• Partner with UX research to combine qualitative and quantitative insights for stronger decision-making
• Ensure data tracking and instrumentation are properly designed to enable future analysis and measurement
• Personally lead the most complex and ambiguous analyses within the domain, setting the standard for quality and impact

What you need to be successful:

Background:

• 5+ years of experience as an individual contributor in analytics or a related field
• 1+ year of experience managing people, leading a team of 3–4 data analysts
• Proven track record of driving business impact through data

Skills:

• Causal inference & impact measurement: Deep expertise in methods (uplift modeling, quasi-experiments, counterfactuals) to measure true business impact beyond surface metrics.
• Experimentation: Strong track record designing and scaling A/B, multivariate, and observational analyses when experimentation isn’t feasible.
• Strategic problem-solving: Ability to structure ambiguous business problems into rigorous analytical frameworks that inform product and growth strategy.
• Analytics & Engineering: High proficiency in SQL and Python/R for analysis, experimentation, and modeling.
• LLM & self-serve analytics: Experience leveraging LLMs and conversational interfaces to enable scalable, self-serve analytics.
• Data storytelling: Communicates complex insights clearly using modern BI tools (Tableau, Looker, Metabase, Superset).
• Stakeholder influence: Confident communicator with fluency in English, who challenges assumptions, aligns cross-functional teams, and drives data-informed decisions.

Nice to have:

• Experience in the specific domain
• Experience in high-growth environments 
• Experience in fintech
• Experience building or scaling analytics teams or functions

What’s in it for you:

• Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. 
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.    
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds. 
• A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. 

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Do you see yourself thriving in this role? We’d love to see your application even if you don’t meet 100% of the criteria. You may just be the right fit for this or other roles!

Equal opportunities for all

At N26, we believe our strength lies in our people and the varied perspectives they bring. We strive to build diverse teams that drive innovation and business success. We actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages.

We are committed to providing an excellent and accessible candidate experience. If you require any accommodations to make this process work for you, please let us know. We’re here to support you!

Discover more about Diversity & Inclusion at N26: https://n26.com/en-eu/diversity-and-inclusion

We are seeking an experienced and strategic Analytics Manager to lead the Financial Empowerment domain (Investments, Savings, and Lending) one of our cross-functional areas shaping the development of one of the world's leading FinTech products.

About the opportunity

As an Analytics Manager, you will own the analytics strategy and execution for our Product & Business Segments within the respective domain.

You are responsible for ensuring data is at the core of decision-making, fostering a strong data culture, and enabling teams to deliver measurable business impact. You will work in a cross-functional setup, leading a team of ~4 data analysts while partnering closely with engineers, designers, product managers, and senior business stakeholders.

This is a hands-on leadership role, where you are expected to split your time between:

• ~50% individual contribution, focusing on the most complex and high-impact analytical problems
• ~50% team leadership and management, ensuring your team delivers high-quality work and continues to grow

In this role, you will:

Help us set the right goals: Define and align domain-level KPIs and OKRs, ensuring teams are focused on the highest-impact opportunities. Establish frameworks that connect product initiatives to measurable business outcomes.

Inform product roadmap:Drive the analytics roadmap for your domain, proactively identifying strategic opportunities, risks, and trends. Ensure insights consistently shape product and business strategy across multiple teams.

Be a strategic partner: Act as a trusted advisor to senior stakeholders, influencing decision-making through high-level insights and clear recommendations. Translate complex data into business strategy.

Handle stakeholders: Own relationships with senior stakeholders across Product, Marketing, Tech and Leadership. Align cross-functional priorities and ensure analytics work is tightly integrated with broader business goals.

Evaluate initiatives: Oversee experimentation and measurement strategy across teams. Ensure robust test design, execution, and interpretation, maintaining a high bar for analytical rigor and business relevance.

Contribute to self-serve data platform: Drive the development of scalable analytics foundations in partnership with engineering. Ensure teams have access to reliable data, tools, and frameworks to independently generate insights.

Provide monitoring tools: Ensure the team delivers high-quality dashboards and monitoring systems that track performance against company OKRs. Define standards for clarity, usability, and impact.

Improve data literacy of organisation: Scale data literacy across the organization by enabling teams to better understand and use data. Establish training programs, frameworks, and best practices that empower self-serve analytics.

Be part of our data-community: Lead collaboration across analytics teams, contributing to shared standards, tooling, and strategic initiatives. Act as a thought leader within the broader data organization.

Support some of the following product & business team initiatives (not limited to):

• Guide teams in discovering new product opportunities, identifying user friction points, and prioritizing high-impact initiatives
• Ensure continuous product releases are evaluated against business goals using robust analytical methods
• Partner with UX research to combine qualitative and quantitative insights for stronger decision-making
• Ensure data tracking and instrumentation are properly designed to enable future analysis and measurement
• Personally lead the most complex and ambiguous analyses within the domain, setting the standard for quality and impact

What you need to be successful:

Background:

• 5+ years of experience as an individual contributor in analytics or a related field
• 1+ year of experience managing people, leading a team of 3–4 data analysts
• Proven track record of driving business impact through data

Skills:

• Causal inference & impact measurement: Deep expertise in methods (uplift modeling, quasi-experiments, counterfactuals) to measure true business impact beyond surface metrics.
• Experimentation: Strong track record designing and scaling A/B, multivariate, and observational analyses when experimentation isn’t feasible.
• Strategic problem-solving: Ability to structure ambiguous business problems into rigorous analytical frameworks that inform product and growth strategy.
• Analytics & Engineering: High proficiency in SQL and Python/R for analysis, experimentation, and modeling.
• LLM & self-serve analytics: Experience leveraging LLMs and conversational interfaces to enable scalable, self-serve analytics.
• Data storytelling: Communicates complex insights clearly using modern BI tools (Tableau, Looker, Metabase, Superset).
• Stakeholder influence: Confident communicator with a fluent command of English, who challenges assumptions, aligns cross-functional teams, and drives data-informed decisions.

Nice to have:

• Experience in the specific domain
• Experience in high-growth environments 
• Experience in fintech
• Experience building or scaling analytics teams or functions

What’s in it for you:

• Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. 
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.    
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds. 
• A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. 

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Do you see yourself thriving in this role? We’d love to see your application even if you don’t meet 100% of the criteria. You may just be the right fit for this or other roles!

Equal opportunities for all

At N26, we believe our strength lies in our people and the varied perspectives they bring. We strive to build diverse teams that drive innovation and business success. We actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages.

We are committed to providing an excellent and accessible candidate experience. If you require any accommodations to make this process work for you, please let us know. We’re here to support you!

Discover more about Diversity & Inclusion at N26: https://n26.com/en-eu/diversity-and-inclusion

Scopely is looking for a Senior Product Analyst to join our Monopoly Go! team in Barcelona on a hybrid basis.

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

MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.

What you will do

As a Senior Product Analyst you will join a team of Product Analysts and Analytical Engineers, working to support one of our Vertical teams in collaboration with the wider analytics org. In this role, partnering with our internal data platform and data science teams, you will use data to generate player behavior insights and improve feature performance; from data modeling and event tracking, through to AB-testing, insightful analyses and recommendations that answer the game’s most complex and challenging questions. This is an individual contributor role, that has a lot of independence and responsibility, with building processes and taking end to end analytics projects

• Data Analysis: Dive deep into large, complex data sets to extract actionable insights that drive strategic decision-making. Analyze player behavior, game performance, and trends to inform product strategies and optimizations
• Game Team Support: Collaborate with stakeholders to identify opportunities and challenges to the specific game vertical.  Define key metrics, establish data collection processes, implement analytical frameworks and effectively communicate the insights to drive continuous improvement
• Ownership of Analysis: Take ownership of end-to-end analytical projects, from the inception of a new feature to ensure robust reporting and monitoring is in place, to design and assess A/B experimentation and deliver final insights, interpretations and presentations. 
• Drive the execution of analytical initiatives with precision and attention to detail
• Cross-functional Collaboration: Work closely with teams across the organization, to translate data insights into impactful business outcomes.
• Product Roadmap Influence: Partner to shape the future direction of the game
• Digging Deep: Hands-on exploration into existing reports and data, correlation of KPIs, definition of success for the Vertical, to identify the needs and gaps and actively work towards the improvements. Leverage data-driven insights to prioritize features, optimize game economies, and refine product roadmaps for maximum player engagement and satisfaction
• Presentation and Communication: Effectively communicate complex findings and recommendations to stakeholders at all levels of the organization. Present insights in a clear, concise manner through compelling presentations and reports

What We’re Looking For

• Passion for continuous learning in a fast-paced, highly-collaborative environment
• Excellent English communication skills, written and verbal
• Intellectual curiosity and analytical rigor
• 4+ years of experience as a Data Analyst or Business Intelligence related role. Gaming industry background is an advantage.
• Solid knowledge of SQL and comfort working with large data sets – exposure with BigQuery and Python/R experience a plus
• Working Knowledge of visualization tools: Looker (Preferred), Qlikview, Tableau or PowerBI
• Strong presentation skills; ability to communicate complex results throughout an organization
• A love for or strong desire to work with mobile games

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Meet Urban Sports Club

We are among the leading platforms for sports and wellness in Europe, dedicated to inspiring people to live active, healthy lives. With just one membership we offer access to thousands of fitness and wellness experiences across the continent.

But what truly sets us apart? We believe our people are at the heart of everything we do. If you’re curious about how we work, what we value and how you might grow with us, explore our Culture Hub & Career Opportunities.

*Big news: Wellhub and Urban Sports Club unite!*
Urban Sports Club is now a proud part of Wellhub, creating a global wellbeing ecosystem. Together, we connect 39,000 corporate clients and 97,000 wellness partners across 18 countries, offering millions of people even more ways to stay active and take care of their health.

The opportunity 

Urban Sports Club is building a security function that moves with heart and mind. As a Security Engineer you will work across the full security landscape – from application security to cloud runtime to development pipelines and of course AI – bringing genuine breadth alongside real depth in your domain specialisations. 

You will work side-by-side with IT analysts, developers, product managers, and leadership alike to embed security into how we build and operate. You will report to the Director of Cyber Security, with the empowerment and autonomy to shape how security is done across the company.

This role suits those with a builder’s mindset who gets restless without a hard problem to solve, who is excited about the intersection of AI and security, and who communicates as comfortably in a board update as in a pull request review.

What you will do

• You partner with engineering, product, and infrastructure teams to identify and mitigate security risks across our cloud, application, and AI/ML environments
• You lead security initiatives in your specialist area – whether that is AI/ML Security, DevSecOps, Application/Product Security, or Cloud Security – while staying curious and contributing across different domains
• You design, build, and operate security controls, automation, and tooling that scale with a fast-growing platform
• You drive threat modelling, secure design reviews, and risk assessments for new features, services, and infrastructure changes
• You detect, respond to, and investigate security incidents; own root cause analysis and drive post-incident improvements
• You translate complex security topics into clear, actionable language for technical and non-technical audiences, including C-level leadership
• You track the evolving threat landscape, with particular attention to AI/ML attack surfaces and AI-assisted security tooling, bringing those insights back into the business

What you will need to succeed

• You bring 5+ years of hands-on security engineering (or equivalent) in fast-paced, high-growth environments
• You have a deep expertise in at least one domain: AI/ML Security, DevSecOps, Application/Product Security, or Cloud Security
• You bring a strong builder mindset: able to script, automate, write detections, and review architectures/designs
• You understand modern threats (e.g., AI/ML risks, software supply chain, API and cloud security)
• You are are an excellent communicator across technical and executive audiences (e.g., engineers to CISO level)
• You are able to work autonomously, set direction, and thrive in ambiguous, collaborative environments
• Nice to have: Experience with platform/marketplace products, Kubernetes security in AWS/GCP, EU regulations (GDPR, NIS2, DORA), and scripting (Python, Go)

What’s in it for you 

• Free Urban Sports Club L Pro Membership + Friends and Family Discount: Stay active with free membership, plus discounts for friends and family.
• Flexible Work Model: Enjoy a hybrid work setup, balancing on-site and remote work options to fit your lifestyle.
• Extended Remote Work Options: Work up to 120 days remotely within the EU, the UK, and Switzerland, including 30 days outside the EU. You’ll also have the option to desk-swap at our other European offices.
• WorkOUT Life Balance: Take advantage of 30 days of paid vacation annually, plus two additional days for volunteering, flexible working hours, and complimentary access to our mental health provider Open Up.
• Personal Development: Receive an annual budget of €1,000 for professional growth, with regular internal training sessions and weekly German and English language classes.
• Engaging Team Culture: Participate in regular team and company events along with wellness initiatives that help you stay productive, healthy, and engaged in a hybrid work environment.

Urban Sports Club is committed to providing a friendly, safe, and welcoming environment for everyone who applies for a position or already works with us, regardless of their sports preferences, gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, or religion (or lack thereof).

At Trivelta, we build the technology that powers modern experiences partnering with online sports betting & casino operators to launch their own fully customized branded, legally compliant iGaming platforms and products that drive engagement, retention, and revenue. Through our proprietary sports-book and casino engine, we enable partners to offer real social interactions, predictive gameplay, and casino entertainment in one unified experience.

The Role

As a Lead Backend Software Engineer you will play a pivotal role in designing, developing, and maintaining the platform’s core infrastructure. As a technical leader, this individual will be responsible for driving innovation, optimizing system performance, and ensuring the scalability, security, and reliability while collaborating with cross-functional teams, including product, security, compliance, and data analytics.

Key Responsibilities

• Architect & Develop Backend Systems — Design and implement scalable, high-performance backend solutions, ensuring robust APIs for mobile, web, and third-party integrations.
• Ensure Performance, Security & Compliance — Optimize system performance, scalability, and reliability; implement security best practices; ensure compliance with AML, KYC, data privacy, and state-by-state sweepstakes regulations.
• Manage Data Infrastructure — Build and maintain data pipelines to support analytics, fraud detection, geolocation controls, and regulatory reporting.
• Lead & Mentor — Provide technical leadership, guide engineers in best practices, and foster a culture of continuous learning and innovation.
• Drive Technical Strategy — Lead architectural discussions, evaluate emerging technologies in gaming/fintech/AI fraud detection, and align solutions with long-term company goals.
• Collaborate Cross-Functionally — Partner with product, finance, compliance, and support teams to translate requirements into technical solutions and ensure seamless operations.
• Ensure Operational Resilience — Lead incident response for outages or security events, implement proactive monitoring/alerting systems, and conduct root cause analysis for long-term fixes.

Qualifications

• Proven experience designing, developing, and scaling high-performance backend systems.
• Expert hands-on expertise in Python for backend development, automation, and data processing.
• Skilled in API development, CI/CD, and infrastructure automation.
• Deep understanding of system performance tuning, security protocols, and regulatory compliance (AML, KYC, data privacy).
• Experience with data pipeline design, analytics integration, and geolocation-based access controls.
• Demonstrated leadership in mentoring engineers and making strategic architectural decisions.
• Excellent collaboration skills across product, finance, compliance, and support functions.
• Hands-on experience with incident management, monitoring systems, and root cause analysis.

 Requirements

• Ownership mindset — You take full responsibility for your systems and decisions, proactively identifying problems before they escalate.
• Clear communicator — You can translate complex technical concepts for non-technical stakeholders across product, compliance, and business teams.
• Resilience under pressure — You stay calm and focused during incidents, leading your team through ambiguity without losing sight of priorities.
• Team multiplier — You genuinely invest in the growth of the engineers around you, making the whole team stronger over time.
• Adaptability — You thrive in fast-moving environments where requirements change and you embrace new challenges as opportunities.

🚀 Launch Your Tech Career with the “Beca de Excelencia Fever” in Software Engineering

There is a belief that only Silicon Valley can create global technology leaders and that the best career opportunities are outside our borders. But Fever was born with the opposite belief: Spain has world-class talent, and from Spain you can build a global tech leader.

That’s why the “Beca de Excelencia” was created: to support and retain exceptional talent and accelerate the careers of future top engineers.

Our goal is to offer students the opportunity to start their professional career in a high-performing engineering team, surrounded by international professionals, an entrepreneurial mindset, and leaders in their respective fields.

Get all the information about the program in becasexcelencia.com

Why join us?

Because you won’t just be an intern — you’ll be a full member of the engineering team in a global tech company.

Fever has already found product-market fit and reached break-even, and we are now in a stage of strong execution and scaling. That means real challenges, real impact, and real ownership.

You’ll work alongside experienced engineers in software, product, data, growth and operations, on projects that impact millions of users. At Fever, Software Engineers have a high level of ownership. That means you will be involved end-to-end, from understanding the problem and designing the solution, to coding, deploying to production and monitoring performance. 

Engineering at Fever

As a Software Engineer at Fever, you will have real ownership from day one. Engineers are responsible end-to-end: understanding the problem, designing the solution, implementing it, deploying it to production and monitoring its performance.

We build scalable systems using a distributed services architecture, applying best practices such as Domain-Driven Design and clean architecture principles.

Tech environment

While this is a graduate program, you will be working with modern production systems and technologies used at scale.

Our core stack includes:

• Backend: Python (Django / FastAPI)
• Frontend: TypeScript with Angular
• Infrastructure: AWS, Docker and Kubernetes
• Architecture: REST APIs and event-driven systems

We focus on building reliable, scalable software used by millions of users worldwide.

What do we offer?

• A 6-month full-time placement (with the possibility to extend another 6 months) —and if things go great, a permanent contract afterwards.
• Compensation up to €24,000 per year for full-time.
• The first 6 months located at our offices in 📍 Madrid or 📍Barcelona.
• Compatibility with other university excellence scholarships.
• English classes to support your growth.
• A 40% discount on all Fever plans.
• Flexible remuneration with Cobee, gympass and private medical insurance. 
• Be part of a mission-driven tech company that’s transforming how millions discover live entertainment every month.

Who are we looking for?

• You’re in your final year of an engineering degree or you’ve just graduated (any engineering discipline).
• Your academic record is outstanding — you’re in the top 10% of your cohort.
• You’re excited about software development, tech solutions and building products that scale.
• You thrive in high-performance environments and have the skills and mindset to hit the ground running.

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

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

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

What You Will Do

Game & Product Security Leadership

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

AI-Driven Security Transformation & Automation

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

Security Engineering & Platform Enablement

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

Stakeholder Engagement & Leadership

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

What We're Looking For

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

Technical Expertise

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

Additional Strengths

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

Bonus Points

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

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

About the opportunity

Are you passionate about cybersecurity and eager to make a real impact in a dynamic environment? Look no further! We are on the lookout for a Senior Cloud Security Engineer who is ready to take the lead in proactively identifying and mitigating security threats and safeguarding our sensitive data. Join forces with our Platform and Data teams and be at the forefront of safeguarding our customer and our organisation.

At N26, our Infrastructure Security team is on a mission to detect and remediate IT and cloud infrastructure security threats. We're dedicated to providing efficient and effective services that empower our N26 tech teams to thrive.

Once here you will

• Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager.
• Own, define and drive initiatives, solutions, processes and frameworks to proactively identify and mitigate security threats within our AWS infrastructure which leads to an overall improvement of our security maturity.
• Design, deploy and maintain state-of-the-art cloud-native security solutions, incorporating end-to-end data protection, advanced threat detection, automated controls, alerting and remediation mechanisms to ensure continuous compliance and protection across our cloud infrastructure.  
• Perform regular and proactive research to detect new attack vectors.
• Perform Threat Modeling Sessions, assess and classify identify security threats and define threats mitigation solutions in alignment with the stakeholders
• Monitor for vulnerabilities, perform ongoing risk assessment and collaborate with cross-functional teams to mitigate the risk.
• Define the pentesting scope and scenarios.
• Develop and maintain documentation providing clear guidelines to strengthen security posture and ensure consistent, secure cloud operations across the organisation.
• Provide a first class service to our main stakeholders in our support portal
• Be part of our security incident response on-call rotation (voluntary) and lead security incidents 

What you will bring along

• Cloud Security: Competent understanding and experience of securing at minimum AWS cloud infrastructure environments, CI/CD pipelines, containerized environment and Linux systems.
• Risk Assessment: Experience with assessing security findings and mitigation strategies 
• Security Savvy: Competent knowledge of common security frameworks and tactics, including STRIDE, MITRE ATT&CK®, and OWASP.
• Data Security: Understanding of cloud data security challenges and best practices across cloud cloud environments.
• Tool Mastery: Experience in deploying and customising security tools to address threats and reduce risk (CSPM/CNAPP, vulnerability scanners, IDS/IPS, endpoint security, KSPM, container runtime security, etc.)
• Automation Pro: Proficiency in using CI/CD pipelines (e.g., Terraform) for implementing automated security testing and change management.
• Cloud Deployment: Hands-on Experience with modern cloud technology components and deployment patterns: virtual machines, containers, Kubernetes, serverless, infrastructure as code, etc.
• Scripting Skills: Proficiency in Python, Bash, or GO for scripting and automation.
• Ethical Hacker: Experience with ethical hacking and penetration test methodologies.

Teamwork & Collaboration

• Agile Mindset: Familiarity with agile methodologies and project management.
• Collaborative Spirit: Demonstrated ability to collaborate across teams and segments to achieve complex objectives.
• Hands-On: A hands-on attitude with a knack for driving solutions to completion.
• Communicator: Excellent oral and written communication skills.
• Growth-Driven: A growth mindset focused on learning and pushing the team forward.
• Community Contributor: Contributions to the security community, such as open-source tools, research papers, conference talks, etc.
• Educational Background: A Master's degree in cybersecurity or a related field or a Bachelor's degree in computer science or a related field with an advanced security certification.

If you're ready to embark on a thrilling journey in the world of IT security and make a meaningful impact, we want to hear from you! Join our team at N26 and help us protect what matters most.

What’s in it for you:

• Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. 
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.    
• Additional day of annual leave for each year of service.  
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses. 
• A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. 

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Sounds good? Apply now for this position.

Equal Opportunities:

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.

We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com. 

Visit our website to learn more about Diversity, Equity, & Inclusion at N26. 

Scopely is looking for a Lead Analytics Engineer to join our Finance team in Barcelona on a hybrid basis.

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

Show us the money! As the Finance team, we’re number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios.

What You Will Do 

As a Lead Analytics Engineer, Finance, you will own and improve core finance analytics workflows that support monthly close, revenue reporting, audit support, and accounting analysis. You will partner closely with Accounting, Revenue, Game Analytics, Platform Analytics, and Engineering to build scalable data processes, investigate issues, and translate finance questions into durable data solutions.

• Lead recurring finance analytics workflows that support monthly close, revenue reporting, and accounting analysis.
• Own and review critical digital revenue reporting outputs and investigate issues related to data accuracy, completeness, and timing.
• Build, maintain, and improve SQL logic, validation checks, reporting workflows, and related finance data processes.
• Partner with Revenue Accounting, Game Analytics, and Platform Analytics teams to support item-based revenue recognition analyses, including consumable and durable logic, bundle allocations, paid versus earned currency treatment, virtual currency holding periods, and related user-behavior analyses.
• Monitor and maintain financial data pipelines, troubleshoot exceptions, and drive resolution when data is missing, delayed, or inconsistent.
• Design scalable controls, reconciliations, and documentation so recurring workflows are deterministic, auditable, and easier to hand off.
• Support quarterly and ad hoc finance analyses on purchases, player activity, and revenue trends that inform accounting conclusions and business decisions.
• Partner with Finance stakeholders to translate business questions into repeatable systems and durable reporting solutions instead of one-time analyses.
• Support audit requests by preparing evidence, explaining data logic, and coordinating with auditors and internal partners on finance systems and controls.
• Identify opportunities to automate manual finance processes and improve the scalability of the team’s reporting and operating model.
• Help define best practices for finance data tooling, runbooks, and documentation.

What We’re Looking For 

• Bachelor’s degree in Analytics, Statistics, Finance, Accounting, Economics, Computer Science, or another relevant quantitative field.
• 6+ years of experience in analytics, finance data, business operations, or related roles with ownership of business-critical workflows.
• Advanced SQL skills and proficiency in Python or another programming language used for data analysis, automation, and workflow support.
• Strong Excel / Google Sheets skills.
• Experience with cloud data warehouses and data platforms such as BigQuery, Snowflake, Redshift, AWS, Azure, or GCP-based workflows.
• Experience supporting finance, accounting, revenue reporting, monthly close, or audit-related data work.
• Strong understanding of reconciliation, controls, data quality, and process documentation.
• Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders.
• Strong written and verbal communication skills, especially when explaining technical findings, risks, and tradeoffs to Finance partners.

Bonus Points 

• Experience in gaming, digital products, or revenue accounting.
• Experience building workflow automation, reusable analytical tooling, or documented runbooks.
• Experience supporting audit requests, finance systems controls, or operational process design.
• Experience mentoring analysts or informally leading cross-functional workstreams

Please submit your CV in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.

We are looking for someone to join our Data department as a Data Engineer, helping us manage the integration and consolidation processes of our clients' data. In both on-premise and cloud environments, you will be responsible for designing the required information system architecture and managing and maintaining our clients' databases.

We’re looking for a proactive and analytical person who can adapt to a multidisciplinary team and is eager to help us tackle the many challenges our clients face.

What are we looking for?

Education:

• University degree in Computer Science, Software Engineering, or related fields with a technological specialization in data analysis and engineering.
• Plus: Master's or postgraduate degree in Big Data, Machine Learning, Cloud Computing, or Data Engineering.
  
  

Required Experience (demonstrable and advanced):

• Data Architecture & Systems: Extensive experience in designing, implementing, and optimizing complex, distributed information system architectures, including relational and NoSQL databases.
• Cloud Environments: Deep expertise in defining, implementing, managing, and maintaining enterprise-scale Cloud environments. Expert command of Azure and Google Cloud Platform (GCP), including PaaS/SaaS, serverless computing (Functions, Cloud Run, Azure Functions), containers (Docker, Kubernetes/AKS/GKE), and native cloud data services.
• Modern Data Warehouses: Advanced experience with cloud-native Data Warehouses like Snowflake, including dimensional data modeling, query optimization, and cost/performance management.
• Data Orchestration & Pipelines: Robust experience with data orchestration tools and building complex ETL/ELT pipelines using Pentaho, Apache Airflow, Data Factory, or similar, including CI/CD implementation for data pipelines.
• Advanced SQL: Demonstrable experience with advanced SQL, including complex analytical functions, query optimization, stored procedures, and efficient schema design.
• Software Development: Demonstrable experience with Javascript and Node.js, and Python for scripting, data automation, and ML model development.
  
  

Desired Experience:

• Customer Data Platforms (CDP): Experience in strategic definition, implementation, management, and maintenance of CDP solutions, preferably Segment, and their integration.
• Enterprise System Integration: Desirable experience with enterprise-level integration tools like Mulesoft or microservices architectures with REST/GraphQL APIs.
• Salesforce Ecosystem: Valuable experience working with Salesforce (Sales Cloud, Service Cloud, Marketing Cloud – SFMC), including data integration and automation.
  
  

Knowledge (Essential and Valuable):

• Deep knowledge and certifications in managing and optimizing cloud environments (Azure, GCP).
• Advanced knowledge and certifications in Snowflake (SnowPro Advanced/Architect is a plus).
• Proficiency in CDP tools (especially Segment).
• Knowledge of CRM / Marketing Automation tools (SFDC, SFMC, Adobe Campaign, Selligent Marketing Cloud).
• Advanced SQL knowledge (Analytical Functions, T-SQL, PL/SQL).
• Proficiency in programming languages like Javascript, Node.js, and Python.
• Strong understanding of Data Quality principles, Data Governance, and Normalization.
• Solid understanding of Machine Learning and AI algorithms for data enrichment and transformation.
• Experience with data streaming architectures (Kafka, Pub/Sub, Azure Event Hubs).
• Familiarity with MLOps and DataOps concepts.
  
  

Skills:

• Ability to analyze and solve complex problems.
• Project management and organizational skills for end-to-end data projects.
• Meticulous attention to detail and commitment to data quality.
• High capacity for discernment and prioritization in dynamic environments.
• Technical leadership and mentoring of junior profiles.
• Strategic thinking and innovation-oriented mindset.
• Excellent communication and presentation skills for clients and multidisciplinary teams.
  
  

Languages:

• Spanish (Native or Bilingual proficiency).
• English (High level C1/C2 - Essential for communication with international clients).
  
  

What would you do in this role? Here’s a list of responsibilities and tasks:

• Lead strategic requirements gathering, high-level design, and implementation of complex data solutions for client communication initiatives.
• Design and evolve scalable, efficient data architectures, selecting appropriate cloud-native technologies for each project.
• Design, develop, and optimize ETL/ELT data integration processes to ensure high-quality data ingestion, transformation, and availability.
• Implement end-to-end data solutions, ensuring validation, thorough documentation, and adherence to best practices in data engineering and security.
• Provide training and knowledge transfer to internal teams and clients.
• Maintain, evolve, and optimize existing data projects, ensuring monitoring, incident resolution, and continuous improvement.
• Manage and optimize client databases, ensuring performance, integrity, and security.
• Innovate with AI/ML: Implement data cleansing, normalization, consolidation, deduplication, and enrichment systems using ML/AI algorithms, including predictive scoring and customer clustering.
• Ensure Data Quality and Governance: Implement DQ mechanisms, guarantee data integrity, and ensure GDPR compliance across all processes.
• Strategically collaborate with clients: Participate in high-level meetings to assess current information system architectures, propose innovative improvements, and lead solution definitions for future challenges and new data platforms.
• Mentor and guide other data engineers, fostering best practices and professional development.
  
  

And since you'll give this and much more, we also want to give you much more:

• A dynamic and creative work environment.
• Important clients and international brands.
• Full-time position.
• Hybrid format.
• Christmas, Easter, July, and August: FULL REMOTE
• Flexible hours.
• Permanent contract with a six-month trial period.
• 22 working days of vacation per year + 12 extra days!
• Optional access to flexible compensation (health insurance, transportation, meals, and childcare).
• Ogilvy Wellness Program: Free psychological, legal, and financial support service. Discounts on physiotherapy and gyms.
• Ogilvy is recognized with the Family-Responsible Company (EFR) certification for its commitment to employee well-being and work-life balance.
  
  

If you’ve imagined yourself in this position, that’s a good sign. At Ogilvy, we want to work with the best talent—those who challenge us and make us better. People who are eager to experience an agency culture open to diversity as a principle and connectivity as a primary tool.

So, if you're nodding your head while reading this, send us your CV!

Job details
● 💼 Engineering Team
● 📍 Spain - Barcelona
● 🕜 Full-Time/Remote

What you will do

As a Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

Where you will have impact

• Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
• Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Show a product engineering mindset, focusing on delivering value and solving business problems through data.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record of building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and stakeholder needs.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Excellent communication and stakeholder management skills.

We welcome

• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• Familiarity with data governance or data quality tools such as Atlan or Soda.
• Experience mentoring other engineers.

Technologies you will work with

Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

Job details
● 💼 Engineering Team
● 📍 Spain - Barcelona
● 🕜 Full-Time/Remote

What you will do

As an Engineering Manager, you will lead an engineering team that builds and operates systems at scale within our platform. This is a high-impact leadership role where you will see your team's work directly translate into real-world applications that impact businesses worldwide. The role requires you to combine strong technical experience with operational and people management excellence.

Where you will have impact

• Lead, coach, and mentor a team of engineers, fostering a culture of technical excellence and long-term career growth.
• Be the technical guide the team can lean on for growing their technical careers and for collaborating on their technical work, while at the same time being strong with people, organization, structure, planning and driving delivery.
• (Help) the architecture, design, implementation, maintenance, improvements and scaling of the systems your team owns.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You'll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Identify, estimate, plan and deliver continuous improvements with the team in system quality, stability, observability, performance, and reliability.
• Collaborate closely with product, other engineering teams, support and business teams.

About our team

You'll be leading a skilled team of engineers who build and maintain critical parts of our platform. The team works on technically challenging problems at scale, turning complex requirements into reliable, high-quality solutions that power our products for the hospitality industry.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• You are an experienced people leader with a passion for coaching and mentoring engineers, driving their technical and professional growth.
• You have experience architecting, designing, implementing, testing, deploying and maintaining complex software systems.
• You have a proactive, "can-do" attitude, viewing challenges as opportunities and inspiring a positive, solution-oriented mindset within your team.
• You excel at seeing the bigger picture, breaking down large projects into clear, manageable tasks, and accurately estimating effort.
• You are a forward-thinking builder who views AI as a core component of modern engineering. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• You get energized from optimizing structure, tooling, processes and ways of working.
• While this is a leadership role, you come from a strong hands-on engineering background and can act as a technical guide for your team.
• Professional proficiency in Python or similar languages for building systems at scale.
• Experience with cloud platforms and modern infrastructure (e.g. GCP, AWS, or Azure).
• Fluency in English, with excellent communication and stakeholder management skills.

We welcome

• Experience within the hospitality technology sector or similar industries (e.g. airline industry).
• Experience with data engineering (large-scale data processing and pipeline development), distributed systems, or high-throughput architectures.
• Strong knowledge of data cloud technologies, data streaming systems (like Kafka or Google Cloud Pub/Sub), and cloud database solutions (like BigQuery, Snowflake, or Databricks).

Technologies you will work with

Python, Google Cloud Platform (GCP), BigQuery, Spanner, Pub/Sub, Kubernetes.

Job details
● 💼 Engineering Team
● 📍 Spain
● 🕜 Full-Time/Remote

What you will do

As a Senior Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

Where you will have impact

• Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
• Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Show a product engineering mindset, focusing on delivering value and solving business problems through data.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record of building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and stakeholder needs.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Excellent communication and stakeholder management skills.

We welcome

• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• Familiarity with data governance or data quality tools such as Atlan or Soda.
• Experience mentoring other engineers.

Technologies you will work with

Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid

As a Senior Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

Where you will have impact

• Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
• Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Show a product engineering mindset, focusing on delivering value and solving business problems through data.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Career development: Workshops, frameworks, and trainings to maximize your professional potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Net allowance: Support for home office related expenses.
• Vouchers: Lunch vouchers & Eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record of building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and stakeholder needs.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Excellent communication and stakeholder management skills.

We welcome

• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• Familiarity with data governance or data quality tools such as Atlan or Soda.
• Experience mentoring other engineers.

Technologies you will work with

Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

Job details
● 💼 Engineering Team
● 📍 Spain - Barcelona
● 🕜 Full-Time/Hybrid

What you will do

Reporting to our Director of Data Science, you will be a key player in our Data Organisation. As our new Senior MLOps Engineer, your mission is to design, build, and maintain the robust infrastructure that powers our machine learning solutions, from classical models to new LLM-powered features and AI agents. Your role has a crucial enablement mandate: you will not only serve the Data R&D team but also set up the foundations that empower other engineering teams to ship their own AI features into production, directly impacting hundreds of thousands of hotels globally.

Where you will have impact

• Design and implement the core infrastructure for deploying and managing both classical machine learning models and generative AI systems in production.
• Develop and maintain robust data pipelines using Airflow to ensure the timely delivery of high-quality data to our models.
• Deploy, monitor, and optimize the performance of machine learning models on Google Cloud Platform (GCP) using tools like VertexAI.
• Act as a force multiplier by creating foundational tools and providing guidance that enables other engineering teams to ship their own AI features.
• Collaborate closely with our Data Scientists to continuously improve the accuracy, reliability, and scalability of our models.
• Play a strategic role in the end-to-end delivery of Data R&D projects, from the research phase through to product implementation.
• Stay at the forefront of MLOps technologies and best practices, sharing your knowledge to elevate the entire team.

About our team

You'll be joining the Data R&D team, a core group on a mission to maximize the power of data. We support existing solutions and drive innovation, processing billions of data points daily to unlock new value for the hospitality industry. In this role, you will work closely with a wide range of technical collaborators, including your Senior MLOps peer, our Data Science teams, the DevOps team on GCP infrastructure, the Data Platform team on data quality and pipelines, and Product Backend Engineers to guide them in building their own AI-powered features.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• You have significant experience in an MLOps role, with a proven track record of putting machine learning models, including Generative AI, into production at scale.
• You have strong, hands-on experience with Google Cloud Platform (GCP), particularly with services like BigQuery, and VertexAI.
• You are highly proficient with Python and SQL.
• You have strong experience building and maintaining data pipelines with Airflow.
• You are familiar with common ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• You understand CI/CD pipelines (we use GitLab CI) and model monitoring principles.
• You are a strong communicator who can explain complex technical topics to a variety of stakeholders.
• You are curious, open-minded, and proactive, with a passion for exploring AI's capabilities in your own development work.

We welcome

• Experience with MLOps tools like MLflow or LLM-specific infrastructure like an Agent Development Kit (ADK).
• Familiarity with observability tools such as Grafana.
• A solid understanding of DevOps practices, including scripting and automation.

Technologies you will work with

Python, SQL, BigQuery, VertexAI, GKE, Cloud Run, Docker, Kubernetes, Terraform, Apache Airflow, GitLab CI/CD, Dataflow, scikit-learn, MLflow, VertexAI, ADK, Grafana.

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

The Challenge 🧩 

Wallapop generates billions of data points daily. With a mature data infrastructure already in place, our Data Science and Machine Learning area is gaining significant momentum. As we scale, we face the exciting challenge of taking our ML Platform to the next level to support complex solutions in Personalization, Search, Trust & Safety, and Logistics. As a Senior ML Engineer, you will lead the evolution of our ML Platform and MLOps practice. You will partner with Data Scientists, Data Engineers, and DevOps to shape a vision that balances innovation with reliability, ensuring our models scale efficiently to serve millions of users.

What You Will Do 👇

• Iterate and maintain Wallapop’s ML Platform, identifying opportunities to improve speed, reliability, and maintainability. You will define the long-term vision and roadmap for MLOps.
• Work hand-in-hand with Data Scientists to support their efforts, ensuring they have the tooling to develop, deploy, and monitor scalable models efficiently.
• Define and promote engineering best practices (coding standards, testing, CI/CD) within the ML domain.
• Partner with Data Engineering and DevOps to align ML development with company-wide infrastructure and data governance standards.
• Investigate and integrate new frameworks and tools (e.g., for LLMs or real-time inference) to keep our stack modern and effective.

What We’re Looking For 🔎

• Proven experience building and owning production-ready ML platforms and pipelines. You understand the full lifecycle from experimentation to monitoring.
• Deep understanding of AWS components (SageMaker, Lambda, S3) and container orchestration with Kubernetes.
• Strong software engineering background with proficiency in Python, Git, and CI/CD workflows. You write robust, testable code.
• Experience with real-time ML architectures, leveraging tools like Kafka for low-latency ingestion and inference.
• Hands-on experience with vector databases or semantic search infrastructure (e.g., OpenSearch, Vertex AI), including indexing and retrieval tuning.
• Familiarity with the broader ML toolkit, such as orchestration/tracking tools (Flyte, MLFlow, Feast) and standard libraries (Pandas, Scikit-learn, TensorFlow/PyTorch).
• Professional proficiency in English, with the ability to explain complex technical concepts to diverse stakeholders.

What Would Be A Plus 🚀

• Hands-on experience working with LLMs, RAG architectures, and libraries like LangChain or LlamaIndex.
• Familiarity with Big Data technologies like Spark or Beam.
• Experience with Data Engineering tools such as Airflow, dbt, or Datahub.
• Experience with other cloud platforms like GCP or Azure in addition to AWS.

Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Generous individual learning budget of 2k per year
• Free office meals, lunch selection from different providers
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Alan
• Flexible working hours + intensive Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly plan for free shipping, bumps & home-pick-up on our services
• Work anniversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

What does the hiring process for this position look like? 👀 **Please, note that all interviews take place remotely over hangouts.**

• Intro Call - run by Talent Acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.
• Technical Task - you will be assigned a challenge to assess the technical skills required for the role.
• Expertise Interview - run by the core team, focusing on the hard skills and the ability to deliver in a given context. This usually takes 60-90 minutes.
• Stakeholder Interview - run by the hiring team and relevant stakeholders, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.
• Culture-Add Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.
• Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

The Challenge 🧩

At Wallapop, we’ve built a strong foundation of qualitative understanding. Through continuous discovery, user feedback and close collaboration with teams, we’ve developed a rich view of how people experience our product and why they behave the way they do.

What we need now is to complement that foundation with stronger quantitative ownership: making user understanding measurable, scalable and consistently actionable across the company.

As our Senior Quantitative Researcher, you will own quantitative research at Wallapop. Your mission will be to build the frameworks, governance and measurement systems that help us move from fragmented signals and intuition-led decisions to a more robust, shared and evidence-based understanding of user experience.

This role is not only about running quantitative studies. It is about shaping how the company uses quantitative evidence to make better decisions. You will define how we measure perception, satisfaction, trust and other key experience drivers, improve how we quantify the prevalence, importance and severity of user problems, and connect inputs such as surveys, qualitative research, user reviews, customer support feedback and behavioral data into a more coherent decision-making system.

You will work closely with Product Analytics, Data Science, Product, Design, UX Leadership, and our Discovery & Insights research function, acting as a bridge between data and human behavior. Your work will reduce uncertainty in product bets, strengthen the link between user perception and business performance, and help Wallapop make smarter, more confident decisions at scale.

What You Will Do 👇

• Own and evolve quantitative research at Wallapop, defining how it supports product, design and business decisions across the company.
• Define, implement and evolve frameworks to measure user experience, perception, satisfaction, trust and other key user-related signals across the company.
• Own survey governance, setting standards and guidance for when and how surveys should be used, how results should be interpreted, and how survey-based evidence can be made reliable and decision-useful.
• Build scalable approaches to quantify the prevalence, importance and severity of user problems, helping teams understand not only what users experience, but how important those issues are, who they affect, and where to act first.
• Design, execute and analyze quantitative research initiatives, including surveys, experiments and other measurement approaches, to support both exploratory and evaluative product work.
• Partner with Product Analytics and Data Science to connect user perception and attitudinal signals with behavioral and business data, creating a more holistic understanding of product performance.
• Collaborate closely with the Discovery & Insights research function to translate rich qualitative signals into measurable hypotheses, validation plans and tracking mechanisms.
• Standardize and improve how Wallapop measures and monitors experience quality across products and journeys, including simplifying and unifying satisfaction and feedback frameworks where needed.
• Help integrate and make sense of multiple feedback sources, such as user research, customer support inputs, reviews and other experience signals, turning them into structured and actionable quantitative evidence.
• Lead end-to-end research projects, from framing the problem and choosing the right methodology to synthesizing findings and influencing decisions with clear recommendations.
• Support teams in identifying the right research questions, selecting the right methods and using quantitative evidence effectively in product and design decision-making.
• Communicate insights in a clear, credible and actionable way to different audiences, from product teams to senior stakeholders, adapting the level of depth and complexity when needed.
• Contribute to the development of research practices, standards and ways of working that improve the quality, consistency and scalability of research at Wallapop.
• Mentor and guide peers in the use of quantitative methods, helping strengthen a culture where user understanding is measurable, trustworthy and decision-ready.

What We’re Looking For 🔎

• You have 6+ years of experience in quantitative user research or similar roles in digital product environments, including clear experience building or evolving measurement frameworks, leading complex cross-functional research initiatives, and influencing product or business decisions through evidence.
• You have strong expertise in survey design, quantitative research methods and statistical analysis, and know how to apply them pragmatically to product and business questions, ensuring survey-based insights are robust, interpretable and useful for decision-making.
• You are proficient in tools such as R or Python, and comfortable working with user-level data to uncover patterns, generate insight and support decision-making.
• You have experience building or evolving measurement frameworks, trackers or recurring research systems, not only running one-off studies.
• You have experience owning or shaping survey governance, helping ensure quantitative evidence is generated and used with rigor and consistency.
• You have experience quantifying the prevalence, importance and severity of user problems, helping distinguish between isolated feedback and meaningful patterns that should influence prioritization.
• You are able to connect and synthesize different types of evidence, including attitudinal, qualitative, behavioral and operational signals, to build a more complete understanding of the user experience.
• You are confident in translating ambiguous business or product questions into strong research approaches, and turning findings into actionable recommendations.
• You know how to balance methodological rigor with pragmatism, and can adapt your approach depending on the context, the level of uncertainty and the decision at stake.
• You are an excellent communicator who can explain complex findings clearly and persuasively to cross-functional partners and senior stakeholders.
• You enjoy working collaboratively across disciplines and are comfortable partnering with Product, Design, Data Science, Analytics and Research to drive impact.
• You are motivated by building systems, raising the quality of decision-making, and helping an organization become more evidence-based over time.

What Would Be A Plus 🚀

• Experience managing satisfaction programs or other recurring measurement systems.
• Experience with sampling, weighting and other advanced survey methodology techniques.
• Experience using tools such as Looker, Amplitude or similar analytics and visualization platforms.
• Experience in marketplace, e-commerce or other trust-sensitive digital environments.
• Experience working across multiple markets, audiences or cultural contexts.
• Experience mentoring researchers or helping teams adopt quantitative methods and evidence-based practices.

Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Generous individual learning budget of 2k per year
• Free office meals, lunch selection from different providers
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Alan
• Flexible working hours + intensive Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly plan for free shipping, bumps & home-pick-up on our services
• Work anniversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

What does the hiring process for this position look like? 👀**Please, note that all interviews take place remotely over hangouts.**

Intro Call – Run by Talent Acquisition, focused on providing more information about the role and the company, as well as understanding your experience, motivation and expectations. This usually takes 45–60 minutes.

Case Study – We will ask you to submit within 5 to 7 days a case study based on a past project that is representative of your work.

Expertise Interview – Led by the hiring team, this conversation is focused on challenging and pressure-testing your thinking in a given context. This usually takes 60–90 minutes.

Stakeholder Interview – Run by relevant stakeholders reflecting the reality of the context of the role, focused on your ability to collaborate and deliver in a cross-functional setup. This usually takes 60 minutes.

Culture Interview – Run by culture interviewers, focused on your alignment with Wallapop’s purpose and business proposition. This usually takes 60 minutes.

Offer – Should you be the right candidate, your offer will be discussed over a call with Talent Acquisition and then confirmed in writing.

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us💫.

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

The Challenge 🧩

Our platform generates vast amounts of data. With a mature infrastructure already in place and a growing team, the opportunities to make a tangible impact are endless. As a Data Scientist, you will improve marketplace dynamics by working on end-to-end ML solutions—from data gathering and prototyping to deployment and iteration.

As a Data Scientist in the Wallapop you will be working on the Data Science and Machine Learning initiatives aimed at improving the whole marketplace dynamics. This will include topics such as improving models that power users' main interaction point:  Search.  You will also look into various models that will help users discover new items through ranked Recommendations, Similar Items, and more.

You will work closely with other Data Scientists, Product Managers, Engineers, UX Researchers, and Analysts to understand the product requirements and explore possible data and ML solutions. You will own the whole product lifecycle, from gathering the data needed to prototyping, building, evaluating, and iterating end-to-end solutions, all within Wallapop’s Data and ML Platforms.

Additionally, you will have the opportunity to work on internal research projects, exploring new technologies and building PoCs that could ultimately become data products or insights, and be valuable for Wallapop.

What You Will Do👇

• Collect, clean, and analyze large datasets from diverse sources, including user behavior, transactions, and market trends.
• Develop and implement machine learning models to solve business problems, such as personalized recommendations and search.
• Work with multidisciplinary Product teams to identify opportunities and gather requirements (both in terms of product and tech).
• Own initiatives from start to deployment:  ideation, data processing (ETL), modeling, testing, deployment, monitoring and iteration (w/ help from Engineering partners)
• Proactively suggest, research and prototype new ideas for data and ML solutions.
• Communicate complex data insights to both technical and non-technical audiences, including stakeholders involved in marketplace operations.

What We’re Looking For 🔍

• Experience working with Search, recommendations & Ranking models in production environments

• Problem-Solving Core: A degree in a quantitative field (Engineering, Math, Stats, Physics) or equivalent practical experience in data science.

• Software Mindset: Proficiency in Python and the ability to write clean, maintainable code for ML applications.

• Production Experience: A proven track record of building and deploying data products that solve business challenges in a production environment.

• Data Fluency: Advanced SQL skills and experience handling large datasets (knowledge of libraries like Pandas or Scikit-learn is highly valued).

• Growth Orientation: A desire to learn new technologies and an ability to adapt your technical approach to the problem at hand.

• Algorithmic Foundation: Solid understanding of Machine Learning fundamentals, specifically as they apply to personalization or recommender systems (e.g., collaborative filtering, content-based filtering, or deep learning for embeddings).

What Would Be A Plus 🚀 

• Experience working within an eCommerce or Marketplace platform, or in a product-tech company.
• Experience working within the Logistics, Trust & Safety or Customer Service domains.
• Experience working within the AWS cloud (Redshift, S3, Lambda), and with cloud MLaaS solutions such as Amazon SageMaker (preferably), but also Google Vertex AI, Microsoft Azure ML, and other MLOps tools (MLFlow, Flyte, Feast, Kubeflow, etc).

Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Generous individual learning budget of 2k per year
• Free office meals, lunch selection from different providers
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Alan
• Flexible working hours + intensive Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly product advantages (Wallapop Club)
• Work anniversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

What does the hiring process for this position look like? 👀 **Please, note that all interviews take place remotely over hangouts.**

Intro Call - run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.

Task - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise and technical skills required for the role.

Expertise Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60-90 minutes.

Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.

Culture Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes. 

Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

Position Overview:

We are seeking a highly skilled and experienced Director of Game Economy to join our team in Barcelona. Unlike traditional game economy roles focused on a single title, this position will operate as a centralized expert resource across multiple games. You will lead economic strategy on a project basis: analyzing each game, identifying the key opportunities and challenges in its economy, and guiding the design and implementation of sustainable solutions.

In addition, you will play a critical role in building and mentoring in-game economy teams. While you will initially lead the economic development for each project, you will also establish the long-term structures and train internal teams within each game to own and manage the economy independently.

This role is both strategic and hands-on: blending research, analysis, system design, cross-team collaboration, and leadership development.

What You'll Do:

You aren't just managing one game; you are the architect of a portfolio. You will step into different projects to diagnose economic health, design robust pricing and reward systems, and then train the local teams to take the reins.

• Drive Portfolio Strategy: You will serve as the shared expert across multiple games, taking full ownership of economic health by identifying gaps and implementing tailored solutions for engagement and business performance.
• Build and Mentor Teams: You will lead the recruitment, mentoring, and training of new in-game economy teams, establishing the long-term structures they need to eventually manage their game's economy independently.
• Design and Simulate: You will use your quantitative expertise to develop predictive models, simulations, and A/B tests that validate design decisions and forecast the impact of new features.
• Collaborate Globally: You will lead cross-functional efforts with Product Managers, Data Scientists, and Engineers across different geographies, acting as a cultural and technical bridge to ensure seamless execution.

What You Bring:

• Economic Mastery: A Bachelor's or Master's degree in Economics, Math, Statistics, or a related quantitative field, paired with a proven track record of optimizing complex game economies.
• Technical Proficiency: Advanced analytical skills with a "must-have" mastery of Excel; experience with SQL, R, or Python is a significant advantage for deep-dive research.
• Leadership Experience: Demonstrated ability to grow junior talent into strong economists and lead high-level strategic initiatives across departments.
• F2P Passion: A deep-seated interest in Free-to-Play mechanics and a sophisticated understanding of how to balance player experience with sustainable monetization.

Bonus Points:

• Additional background in Monetization strategy to complement your economic expertise.
• Experience working on large-scale online, social, or multiplayer games.

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week
• A generous 25 days of annual leave, plus public holidays
• Private medical insurance for you and your family to keep your health bar full
• Disability and life insurance
• Choose from the latest iOS or Android device when you join (phone or tablet)
• Free language lessons in English, Spanish and Catalan
• Spotify Premium to add the perfect soundtrack to your adventure
• Legendary social events and parties to let off some steam
• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)
• Professional development budget for skills training

Onsite perks include:

• State of the art gym facilities
• Free breakfast, lunch, and specialty coffee
• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

The Challenge 🧩

You will join the Android Platform Team, the engine room that enables our mobile engineers to ship features to millions of users with speed and confidence. In a 10+ year-old codebase with 50+ modules, your mission is to eliminate friction and build the foundation of our mobile future.

What you will find:

• Developer Experience (DevEx) at Scale: You won’t just build features; you will build the tools, CI/CD pipelines, and architectures that other engineers use daily.
• Deep Tooling & Build Systems: We manage a complex modular environment where Gradle and CI/CD automation are at the heart of everything we do.
• System-Level Thinking: From optimizing build time to managing our Dagger/Anvil DI graph, you’ll tackle challenges that impact the entire Android Chapter.
• Data-Driven Infrastructure: We don't guess; we measure. You will use metrics to identify bottlenecks in the development lifecycle and prioritize what to fix next.

What You Will Do 👇

You’ll be the "Engineer for the Engineers," driving technical excellence across the organization. To do so, you will:

• Master the Build System: Maintain and optimize our Gradle configuration, plugins, and build logic to ensure fast and reliable builds.
• Optimize the Feedback Loop: Improve CI/CD pipelines and local iteration speed to ensure developers can test and deploy code faster.
• Own the Release Engine: Maintain and evolve our automated release process, ensuring that shipping to millions of users is a non-event.
• Standardize & Modernize: Help define the "Golden Path" for Android development, providing the modular architecture and patterns that teams need to succeed.
• Cross-Platform Collaboration: Work alongside iOS and Web Platform engineers to align on tooling, infrastructure, and DevOps culture.
• Infrastructure as Code: Manage and scale our cloud resources (using AWS when needed) to support our mobile infrastructure.

What We’re Looking For 🔎

• Android Enthusiast & Expert: Deep knowledge of the Android SDK and Kotlin. You don't just use libraries; you understand how the system works under the hood.
• Build System Mastery: Extensive experience with Gradle (writing custom plugins, optimizing build scripts, and understanding the configuration phase).
• The "Platform" Mindset: A passion for Developer Experience (DevEx)—you find joy in making your colleagues' lives easier and their builds faster.
• Performance & Stability: Experience using profilers and monitoring tools to debug complex issues like memory leaks, ANRs, or slow startup times.
• Modularization at Scale: Proven experience managing large-scale, multi-module projects and understanding the trade-offs of different architectural patterns.
• CI/CD & Automation: Solid experience with CI tools (GitHub Actions, Bitrise, etc.) and a pragmatic approach to automating the full release lifecycle.
• Polyglot Curiosity: Comfortable using Python for scripting and an interest in learning AWS infrastructure when needed.

What Would Be A Plus 🚀 

• Experience with Gradle Enterprise (Develocity) or writing custom Gradle plugins.
• Knowledge of Infrastructure as Code (IaC) or basic AWS management.
• Previous experience in a Developer Experience (DevEx) or Mobile Infra role.
• Experience managing Design Systems from an infrastructure perspective (theming engines, token automation).

Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Generous individual learning budget of 2k per year
• Free office meals, lunch selection from different providers
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Alan
• Flexible working hours + short Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly plan for free shipping, bumps & home-pick-up on our services
• Work anniversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

What does the hiring process for this position look like? 👀 **Please, note that all interviews take place remotely over hangouts.**

• Intro Call - run by Talent Acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.
• Technical Task - you will be assigned a test that consists of a coding challenge to assess the technical skills required for the role. You will have up to 7 days to complete it. If you have a recent project that meets the same requirements, you can submit it instead.
• Expertise Interview - run by the core team, focusing on the hard skills and the ability to deliver in a given context. This usually takes 60-90 minutes.
• Stakeholder Interview - run by the hiring team and relevant stakeholders, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.
• Culture Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.
• Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

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

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What we offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.

WHO WE'RE LOOKING FOR 🌟

We’re looking for a Senior Engineering Manager to lead and scale Manychat engineering org. In this role, you will be responsible for multiple cross-functional teams (web and mobile) through Engineering Managers and TechLeads/Seniors, shaping the organizational structure, defining strategic priorities, with a mission to help content creators unlock value from Manychat and sustain their growth at scale. You will partner closely with Product, Finance, Security, Legal, and Platform teams to drive a long-term vision, balancing delivery, system reliability, and architectural direction. Your focus will be on growing leaders, establishing clear ownership, and building a high-performing organization that delivers measurable business impact.

WHAT YOU'LL DO 🚀

• Organizational Leadership: Lead multiple teams through Engineering Managers and TechLeads/Seniors, setting clear ownership and accountability. Design and evolve the team topology and domain boundaries to support scaling and growth needs. Develop managers through coaching, mentoring, feedback, and succession planning.
• Domain Strategy & Execution: Define and drive the long-term engineering strategy for the Growth domain aligned with company’s and areas’ OKRs. Own the end to end growth funnel including engagement, retention, and expansion with clear accountability for conversion improvements and experiment velocity.
• Product & Stakeholder Partnership: Act as the engineering counterpart to Product, Design, Mobile, and Analytics leadership for the domain. Co-own monetization surfaces such as paywalls, packaging exposure, and expansion flows in close partnership with Billing and Finance teams. Drive quantified platform leverage by influencing Platform and Data roadmaps through measurable growth impact.
• Technology Strategy & Architecture Stewardship: Set the technical direction across teams to ensure scalability, reliability, and cost efficiency. Evolve Technology stack. Guide architectural decisions, reduce fragmentation, and manage technical debt at the domain level. Establish standards for system design, observability, performance, and resilience.
• Operational Excellence: Strengthen domain-level planning, capacity management, and risk mitigation practices. Drive improvements in release confidence, incident management, and delivery predictability. Be on charge of domain health metrics. Ensure event quality, metric definitions, and funnel observability meet decision grade standards.
• Talent Growth & Hiring: Own the hiring strategy for Engineering Managers and senior roles within the domain. Build a strong leadership bench and create clear career growth paths. Foster a culture of ownership, feedback, and continuous improvement.

TO SHINE IN THIS ROLE 💥

• Experience leading multiple teams through Engineering Managers in a complex product organization.
• Experience leading cross-functional teams: web and mobile (Android and iOS).
• Experience shaping organizational design and scaling engineering structures and technologies.
• Proven track record of defining domain strategy and delivering platforms at scale.
• Strong experience partnering with Product and senior stakeholders on roadmap and prioritization.
• Deep understanding of distributed systems, native mobile apps, high-load architectures, and platform reliability.
• Ability to balance short-term delivery with long-term technical sustainability.
• Fluency in English and experience working in global, cross-functional environments.
• Data Analytics experience is a plus.
• Experience working with PHP, Java, or Python in production environments is a strong plus.

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for both you and your family.
• 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• 🫶 Flexible benefits package to tailor perks that matters most for you.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.

WHO WE'RE LOOKING FOR 🌟

We’re looking for a Senior Engineering Manager to lead and scale the Manychat engineering org. In this role, you will be responsible for multiple cross-functional teams (web and mobile) through Engineering Managers and TechLeads/Seniors, shaping the organizational structure, defining strategic priorities, with a mission to help content creators unlock value from Manychat and sustain their growth at scale. You will partner closely with Product, Finance, Security, Legal, and Platform teams to drive a long-term vision, balancing delivery, system reliability, and architectural direction. Your focus will be on growing leaders, establishing clear ownership, and building a high-performing organization that delivers measurable business impact.

WHAT YOU'LL DO 🚀

• Organizational Leadership: Lead multiple teams through Engineering Managers and TechLeads/Seniors, setting clear ownership and accountability. Design and evolve the team topology and domain boundaries to support scaling and growth needs. Develop managers through coaching, mentoring, feedback, and succession planning.
• Domain Strategy & Execution: Define and drive the long-term engineering strategy for the Growth domain aligned with company’s and areas’ OKRs. Own the end to end growth funnel including engagement, retention, and expansion with clear accountability for conversion improvements and experiment velocity.
• Product & Stakeholder Partnership: Act as the engineering counterpart to Product, Design, Mobile, and Analytics leadership for the domain. Co-own monetization surfaces such as paywalls, packaging exposure, and expansion flows in close partnership with Billing and Finance teams. Drive quantified platform leverage by influencing Platform and Data roadmaps through measurable growth impact.
• Technology Strategy & Architecture Stewardship: Set the technical direction across teams to ensure scalability, reliability, and cost efficiency. Evolve Technology stack. Guide architectural decisions, reduce fragmentation, and manage technical debt at the domain level. Establish standards for system design, observability, performance, and resilience.
• Operational Excellence: Strengthen domain-level planning, capacity management, and risk mitigation practices. Drive improvements in release confidence, incident management, and delivery predictability. Be on charge of domain health metrics. Ensure event quality, metric definitions, and funnel observability meet decision grade standards.
• Talent Growth & Hiring: Own the hiring strategy for Engineering Managers and senior roles within the domain. Build a strong leadership bench and create clear career growth paths. Foster a culture of ownership, feedback, and continuous improvement.

TO SHINE IN THIS ROLE 💥

• Experience leading multiple teams through Engineering Managers in a complex product organization.
• Experience leading cross-functional teams: web and mobile (Android and iOS).
• Experience shaping organizational design and scaling engineering structures and technologies.
• Proven track record of defining domain strategy and delivering platforms at scale.
• Strong experience partnering with Product and senior stakeholders on roadmap and prioritization.
• Deep understanding of distributed systems, native mobile apps, high-load architectures, and platform reliability.
• Ability to balance short-term delivery with long-term technical sustainability.
• Fluency in English and experience working in global, cross-functional environments.
• Data Analytics experience is a plus.
• Experience working with PHP, Java, or Python in production environments is a strong plus.

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for both you and your family.
• 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• 🫶 Flexible benefits package to tailor perks that matters most for you.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.

Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona 

Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.

We are looking for a Data Lead for our FinTech Product organization (m/f/d) to drive data-centric strategy across our financial products and fraud prevention capabilities. You will use data to balance growth, user experience, and marketplace risk — ensuring our payment, payout, and fraud prevention products are safe, scalable, and high-performing.

Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate data professionals who strive for excellence and like to have fun. Are you ready for your next ride?

YOUR DAILY ADVENTURES WILL INCLUDE:

The FinTech Data team plays a pivotal role in driving data-centric processes, analyses, experiments, and strategic development for the FinTech Product organization. 

As the Lead of the FinTech Data team, you will be at the forefront of translating data insights into tangible business value. Working in close collaboration with Product leaders in Fraud & Risk, Payments, and User Experience topics, you will establish effective communication channels between the data team and the broader Product  organization. Your role will extend to collaborating with fellow Data Leaders and Principals, fostering cross-domain teamwork, and ensuring the adoption of industry best practices.

Your primary responsibility will be to lead a dynamic cross-functional data team consisting of Data Analysts, Data Scientists, and Data Engineers. Through your leadership, you will empower and coach the team, enabling them to deliver optimal results across FinTech’s critical domains. If you are eager to uncover new potential and contribute to propelling Freenow to a stronger position, here is your chance to make a significant impact.

In more detail this means… 

• By using strategic thinking based on the FinTech business function and company’s strategy, help the team to identify, understand, structure, and solve complex problems across payments, fraud prevention, credit risk, and payout operations, and improve and productionize high-value data products
• Owning and advancing fraud prevention data procedures, balancing customer experience with risk mitigation. Guide the team on identifying fraud patterns, building creditworthiness models, and ensuring the right balance between prevention and user conversion
• Motivating your team to deliver amazing data products by focusing on the outcome rather than output, besides ensuring that the team has the right level of information to make informed decisions across all FinTech domains
• Aligning with your stakeholders to deliver the highest impact with available capacities, always seeking to improve the existing and striving for decisions and actions that drive our business’s success
• Ensure we are launching valuable experiments, with reliable test designs, besides using statistical methods to measure the impact of FinTech features and risk-related improvements, and make sure that we are launching the correct changes in our financial products
• Mentoring and coaching team members in order to help them grow professionally to the next level, cultivating a growth and continuous learning mindset, leading by example and being a role model
• You will steer our FinTech products’ data strategy, informing which features should be developed and which changes should be made to ensure safe, scalable, and efficient financial flows for millions of users

TO BE SUCCESSFUL IN THIS ROLE:

• You have curiosity in your essence, which motivates you to answer WHY things happened, not only scratching the surface, but aiming for well-founded actionable results
• Previous experience in leading and developing top performing data teams, preferably within tech, product, or FinTech organizations. Experience managing cross-functional teams with mixed data disciplines (Analysts, Scientists, Engineers) is highly valued
• Exceptional analytical skills, lateral thinking, and proven experience in solving highly challenging problems 
• A history of leading and supporting successful data projects and the ability to define and communicate project objectives, resources, timelines and methodologies clearly to all stakeholders
• Understanding of payment processes, fraud prevention, and credit risk. Familiarity with industry standards, fraud patterns, and creditworthiness modelling is a strong advantage
• Hands-on mentality, not afraid to proactively get their hands dirty in order to accelerate the generation of new insights
• Very good knowledge of SQL, databases, and statistical programming tools (e.g. Python, R)
• Good understanding and hands-on experience in analysing and interpreting A/B test results, backed by statistical knowledge. Experience in causal methodologies is a plus
• You understand how to engage and influence decision-makers by using data visualisation and storytelling
• Have excellent English communication skills, being capable of interacting and coordinating with internal and external stakeholders in steering end-to-end processes and projects

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

FREENOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your true self to work. 

ABOUT US:

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. 

In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

Purpose of the role

We are looking for a Marketing Data Analyst to drive data-informed decision-making across Proton’s marketing organisation, with a strong focus on campaign measurement, topline reporting, and performance insights.
You will work closely with Product Marketing Managers (PMM), Growth, and Performance Marketing teams to design and implement frameworks that quantify the impact of awareness initiatives, marketing investments, and upper-funnel activities.

This is a hands-on analytical role that blends technical expertise, marketing domain understanding, and storytelling through data.

What you will do

• Develop measurement plans for awareness campaigns and translate the value of brand awareness lift into business KPIs.
• Use geo testing and causal inference methods to evaluate campaign performance across markets.
• Deep dive into Performance marketing campaign performance to uncover actionable insights.
• Deliver regular, data‑driven insights on channel performance on our storefronts, surfacing actionable recommendations for optimisation.
• Design, build, and visualise marketing KPIs capturing topline marketing performance and insights challenging the status quo.
• Build pipelines to streamline and automate marketing reporting, and document the marketing data ecosystem in collaboration with the data engineering and Mark Tech teams.
• Enable stakeholders to act on data through clear documentation, hands‑on training sessions, and ongoing support for all marketing dashboards.

Job requirements

• Bachelor’s degree or higher in a quantitative field (Marketing Analytics, Statistics, Economics, Computer Science, or related).
• 4+ years of experience, particularly in marketing analytics, is a must; experience with data visualization or data-driven decision-making roles.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable marketing insights.
• Proficiency in SQL for data querying and transformation.
• Experience building dashboards and reports in tools such as Metabase, Pigment, or equivalent BI platforms.
• Excellent communication and storytelling skills able to present insights to both technical and non-technical stakeholders.

Bonus points for: 

• Experience working in high-growth, global technology companies.
• Familiarity with subscription-based or freemium business models.
• Practical knowledge of Python or other scripting languages for data manipulation and analysis.
• Understanding of privacy-first marketing measurement principles.

What We Offer

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)

• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.

• Technology: you'll get the right hardware and the right software you need to do your best work.

• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.

• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day

• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building

• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.

• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.

• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

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

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• 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

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• 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)

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

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• 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

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• 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)

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

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• 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

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• 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)

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

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• 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

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• 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)

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

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• 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

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• 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)

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

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• 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

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• 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)

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

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• 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

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• 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)

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.

• 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.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• 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.

• 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.

• 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)