About the role

As a Staff Software Engineer (SDK), you will own platform live ops features and apply your creativity throughout the entire development lifecycle - from initial design to live game support. You will collaborate closely with product, design, and engineering teams to deliver high-quality game client features and reusable components, helping to accelerate development across Fortis Games. In this role, you will also provide technical leadership, architectural guidance, and mentorship to other engineers.

What you’ll achieve

• Engage in full-lifecycle development: scoping, design, implementation, documentation, and deployment of our game application.
• Lead technical design and design principles for client features and shared components
• Collaborate with back-end engineers on server-dependent game features.
• Work with product managers to shape product scope, evaluate technical tradeoffs, and define scalable solutions
• Adhere to and elevate studio development guidelines, code style, testing strategy, and architecture standards
• Perform in-depth client code analysis to identify and resolve complex bugs and performance issues.
• Create and review technical design documents to guide stakeholders and engineers
• Mentor and support other engineers, including guidance on TDD practices and effective use of AI coding agents in daily workflows

What you’ll need to be successful

• Experience developing mobile games or client applications using Unity3D
• Familiarity with building SDKs and reusable client frameworks
• Proven software engineering expertise within the gaming industry
• Experience leading architecture and technical design decisions
• Strong knowledge of software design principles and test-driven development (TDD) practices
• Experience collaborating with product managers on feature scope and technical planning
• Practical experience using AI coding agents / AI-assisted development tools with appropriate validation and quality control
• Team player, able to collaborate effectively with engineers, designers, and developers, with strong communication skills

We are seeking a dynamic and experienced Senior Solutions Engineer to join our team at Boomi. You will play a crucial role in supporting enterprise accounts, managing relationships with customers' technical staff, and providing exceptional solutions tailored to meet their needs.

Your expertise will contribute to verifying operability, articulating value propositions, and qualifying sales opportunities to drive success for both the customer and Boomi.

Location: Spain, Barcelona, Hybrid or Madrid, Remote

About Boomi:

Boomi is the leading data activation company, empowering organizations to connect their applications and data seamlessly. We are looking for a talented Senior Solutions Engineer to join our EMEA organization and help drive our growth.

What you’ll do:

• Gain access to and manage relationships with customer technical staff functions to understand their requirements and challenges effectively.

• Qualify sales opportunities by understanding customer technical requirements, decision-making processes, and underlying demand drivers.

• Uncover and articulate the business value of Boomi's Enterprise Platform

• Create compelling presentations that demonstrate to technical as well as business decision-makers how Boomi effectively addresses pain points.

• Provide technical expertise and guidance throughout the sales process, ensuring a smooth transition from presales to implementation.

• Understand the competitive landscape and position Boomi's solutions effectively against competitors.

• Collaborate with sales teams, solution architects, leaders, and cross-functional technical groups to ensure a consistent and effective approach to solution application and development.

• Stay updated on industry trends, the competitive landscape, and emerging technologies relevant to Boomi's offerings (Agentic AI, iPaaS, APIM, B2B/EDI, Business Process Automation, Managed File Transfer,  Data Integration and Data Governance).

The Experience you bring:

• Excellent written and verbal communication skills in English and Spanish.

• A Bachelor’s Degree in Engineering, Computer Science, Applied Science, Business System Administration, or equivalent experience

• Extensive client-facing experience with a strong technical aptitude and presentation skill and/or Experience in field sales or customer consulting experience is preferred.

• Working experience with a global system integrator is a big plus.

• Track record of successful projects in Enterprise accounts.

• Experience in field sales or customer consulting experience is preferred. Working experience with a global system integrator is a big plus.

• Good understanding of integration technologies with a focus on APIs, data management, Agentic development or Event Driven Architectures.

• Hands-on experience with integration development or data synchronization platforms such as API Management, Master Data Management or related technology platforms is a significant advantage.

• Competitive knowledge is a big plus

• Experience to carry quota and provide support to sales planning activities such as forecasting, account planning and go-to-market strategies

• Integration experience with enterprise applications such as SAP, Oracle EBS, Fusion, Netsuite, MS Dynamics, Business Central, BizTalk, ServiceNow, Salesforce, IFS or others is also an advantage.

• Experience with any EDA platform: Solace, Kafka, ActiveMQ, RabbitMQ, Google Pub/Sub, Amazon SNS is a plus

• Experience with any Data platform like: Snowflake, Databricks, Redshift, BigQueries, Microsoft Fabric, Informatica, Talend, Tibco is a plus

• Experience with Integration Platforms (iPaaS) like Mulesoft, SAP BTP, Tibco, IBM webmethods, Workato is a plus

• Experience with AI platform like Amazon Bedrock, Microsoft Foundry, Google Vertex AI, IBM watsonx.ai, or other platforms is a plus

• Strong business acumen with the ability to understand, design, and validate system architectures that are relevant in modern enterprise environments.

• Ability to uncover customer needs and articulate the business value of solutions effectively.

• Ability to prioritize tasks and foster effective communication in global cross-functional teams.

• Ability to take ownership in highly professional teams.

• Strong presentation skills, active listening and comfort presenting to a wide variety of audiences, both in terms of responsibility and technical acumen.

• A natural passion for creative problem-solving and a curiosity to understand how things work.

• Ability to switch between working independently or collaboratively for extended periods.

• Understand the importance of continuous learning while also being a coach and mentor to other team members.

If you are passionate about technology, thrive in a customer-facing role, and possess the skills and experience outlined above, we encourage you to apply for this exciting opportunity to be part of the Boomi team.

#LI-LM1

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

Scopely is looking for a Staff / Senior Software Engineer, Live Technology to join our Monopoly GO! game team working on a hybrid basis out of our Barcelona studio hub, or remotely from within the EU.

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

What You Will Do

• Design, implement, and evolve infrastructure systems that support scalable, high-velocity live operations, including CI/CD pipelines, build automation, deployment frameworks, and observability tooling.
• Own and maintain live technology platforms used across engineering teams, ensuring they are efficient, secure, and aligned with the evolving needs of a large-scale live mobile title.
• Develop internal enablement tools that streamline developer workflows, optimize build processes, and reduce friction across disciplines.
• Collaborate cross-functionally with backend, client, QA, production, and operations teams to define and refine workflows that improve build reliability, deployment speed, and live stability.
• Drive technical excellence by identifying and delivering infrastructure improvements that enhance performance, reduce cost, and strengthen system resilience.
• Architect solutions for Unity-based development pipelines, optimizing for build performance, cross-platform support, and rapid iteration.
• Enhance live system observability and monitoring, integrating best in class tooling to provide actionable insights into performance and reliability.
• Champion automation and long-term system health, ensuring that infrastructure and live systems evolve with product and organizational growth.

What We’re Looking For   

• Proven experience as a senior individual contributor focused on infrastructure, build engineering, or developer tooling within a high-scale live environment.
• Deep understanding of CI/CD pipelines and build automation, with hands-on experience in GitHub Actions, TeamCity, Bamboo, or similar tools.
• Strong programming proficiency in C# and a solid grasp of Unity build systems and challenges specific to live mobile development.
• Expertise in cloud infrastructure (AWS, GCP, or equivalent), including deployment automation, scalability, and cost optimization.
• Experience designing and maintaining systems that support continuous delivery and live release processes for mobile games.
• Familiarity with observability and monitoring platforms such as DataDog, Kibana or Bugsnag.
• Demonstrated ability to drive technical initiatives across teams, influencing architecture and process without formal management scope.
• A focus on reliability, performance, and developer enablement, with a passion for delivering exceptional player experiences through technology.

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 

We are looking for a Staff Mobile Engineer with a passion for building great user experiences in an international environment. You will join our cross-functional teams working on our flagship application, developing innovative features and creating a smooth check-in experience for our members.

In this role, you will not only design and implement advanced Mobile applications in Kotlin and Swift, but also take architectural ownership, help guide native development, and ensure alignment between Android and iOS. Working closely with engineers, product managers, and designers, you’ll bring cohesion across platforms and set the direction for mobile excellence at Urban Sports Club.

What you will do

• Design and build advanced applications in Swift for the iOS platform, experience in Android is a plus.
• Collaborate with cross-functional teams to define, design, and deploy new features.
• Write unit tests and ensure robustness across edge cases, usability, and reliability.
• Work on bug fixing and improving application performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Drive architectural decisions and help coordinate efforts across Android and iOS for consistent implementations.

What you will need to succeed

• You have a degree in Computer Science or equivalent experience and at least 8 years of professional Mobile (iOS or Android) development.
• With strong expertise in Swift, you’ve gained hands-on experience across different iOS versions and screen sizes.
• Skilled in designing SwiftUI, you apply established design principles, patterns, and best practices in your work.
• Experience with RESTful APIs, offline storage, maps APIs, and performance tuning enables you to build apps that are both scalable and reliable.
• Familiarity with cloud messaging APIs, push notifications, CI/CD practices, and effective use of open-source libraries supports your efficiency.
• The ability to translate business requirements into technical solutions and to communicate clearly across teams ensures alignment and impact.

What’s in it for you 

• Work on cutting-edge tech and influence the future of our stack: explore our Tech Radar
• 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).

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. 

Scopely is looking for a Staff Engineer to join our Monopoly GO! team and work from Sevilla 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 our new casual game and a key franchise that has just become Scopely’s largest game, enjoyed by millions of players. 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
You will have the opportunity to lead & work in one of our game teams, developing new features with our talented team and contributing to a game that is played by millions of players around the world. You will be responsible for:

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, the game design team and other development teams to implement new features and technological pipelines for Monopoly GO!
• Driving the implementation of online game mechanics and system processes using Unity and C#
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration,load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: game design, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences

What We’re Looking For

• 6+ years as part of a professional game development team or other relevant area
• BA or Computing Degree
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C# or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Experience with and knowledge of Unity Game Engine or a similar technology (i.e. Unreal Engine)
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications, both for server and client
• Solid understanding of mobile networking best practices: request limiting, request caching, batching, content aggregation, minification, integrating with rest and TCP/UDP services, etc.
• Experience with asynchronous, multi-threaded, parallel programming paradigms and other techniques to maximize UI responsiveness and do operations in background
• Experience and understanding around client-side testing, like unit, functional or integration testing
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

Bonus Points

• Experience building your own games as personal projects or game jams
• Experience with asset pipelines: asset bundles, dependency management, etc
• Mobile experience (iOS and Android): ability to debug native device issues, strong understanding of hardware and platform limitations, performance metrics, etc
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing

We are hiring a Senior Security Engineer to protect the people, infrastructure, and tooling that goes into building and hosting Mattermost. This is a hands-on, high-impact role at the intersection of enterprise security engineering, cloud information security, and AI-enabled threat response.

Why Join Mattermost

•   Fully remote, globally distributed team | no commute, genuine flexibility
•   Be a key voice in shaping and delivering security strategy
•   Competitive salary, equity, and benefits with meaningful work attached

The Role

As a Senior Security Engineer, you will lead the design and implementation of security tooling, harden our cloud and IT infrastructure, and serve as a key responder to incidents. You will work across a globally distributed team and partner closely with Engineering to manage AI-enabled risk.

Key Responsibilities

• Lead security and IT projects to enhance the security posture of infrastructure and the company
• Detect, investigate, and remediate security incidents using SIEM, EDR, and SOAR tooling (e.g. CrowdStrike, SentinelOne)
• Conduct threat hunting across cloud and endpoint environments using a Zero Trust framework
• Administer company-wide IAM and security monitoring infrastructure
• Contribute to security policies, incident response, forensics, and endpoint management programmes
• Partner with Engineering to assess and mitigate risks from AI-enabled tools and workflows
• Explore and implement AI/automation in detection, analysis, and response pipelines
• Engage closely with North American and international staff across time zones

Required Background & Skills

•   Bachelor’s degree in Computer Science or a related field, or significant professional security experience
•   3+ years of hands-on experience in security engineering and incident response
•   Experience with SIEM platforms and security monitoring systems
•   Experience with EDR tools such as CrowdStrike or SentinelOne
•   Knowledge of SOAR platforms and automation of security workflows
•   Familiarity with Zero Trust architecture principles and threat hunting methodologies
•   Experience with cloud security controls across AWS, GCP, and/or Azure
•   Strong knowledge of Linux systems and Kubernetes/Docker environments
•   Experience with IAM solutions and infrastructure automation
•   Practical experience evaluating security implications of AI systems and AI-assisted workflows
•   Experience managing security of Microsoft 365 and Google Workspace tenants
•   Excellent written and verbal communication skills

Preferred Background & Skills

• Experience with certification processes: SOC2, ISO 27001, FedRAMP, or Cyber Essentials Plus 
• Certifications: OSCP, GCIH, GCFA, or equivalent penetration testing / incident response credentials
• Experience in Go or Python
• Background in open-source communities
• Endpoint security management experience in a fully remote organisation

Export Control & Eligibility

This role may involve access to information subject to U.S. export control regulations (EAR/ITAR). Applicants should be aware that eligibility requirements may apply. We encourage candidates with questions about this to reach out. Many Spain-based security professionals with defence backgrounds will qualify. We are happy to discuss your specific situation.

Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

As a Windows Low Level Engineer - Endpoint security, you will design and develop advanced security features for SentinelOne’s Windows endpoint protection platform, operating across both user-mode and kernel-mode environments. You will build and optimize mission-critical components including anti-tampering protections, network sensors, and agent infrastructure while solving complex performance and stability challenges at massive scale. By researching Windows internals and debugging deep system issues, you will collaborate with distributed engineering teams to deliver high-impact security capabilities protecting millions of devices worldwide.

We are seeking a highly skilled and experienced Software Engineer with a strong background in low-level C++ programming and a deep understanding of Windows OS, to help us in developing our Endpoint Protection product, the core part of our business, and to join one of our Platform group teams. (We're currently growing multiple teams and are open to new colleagues with a wide variety of backgrounds within Windows development!).

The Platform group teams are in charge of some of our most complex low-level areas, such as:

• Windows agent’s Anti-Tampering (self-protection from malware attempting to harm the agent), network sensors, device control, and other kernel-side features involving both research and development,
• usermode security & agent infrastructures - e.g. installers, logging, services such as communication layer & interfaces for our Windows agent, for improving the quality, performance & stability of the agent and making the user experience smoother.

By joining our group, you will collaborate with talented engineers who are leading a feature through the whole development lifecycle. Your work will have an impact on millions of endpoints in one of the mainstream areas of the EPP/EDR agent of SentinelOne - a product recognized 5x-in-a-row as Gartner MQ Leader, scoring highly in many MITRE Att&ck assessments, valued by users in Gartner Peer Insights and more.

What will you do?

• As a new member of one of our distributed development teams, you will work in both user-mode & kernel-mode, and deal with a large variety of fields.
• You will have the chance to design, develop primarily in modern C++ (23), test and debug the most complicated real-world problems (often unseen before). In order to successfully deal with this challenge, you will continuously enrich your knowledge and experience with Windows OS internals & Kernel, Endpoint Protection, and Endpoint Detection & Response eco-system.
• Our teams design and execute significant new features, as well as rewrite and reimplement the existing ones from scratch. You will also deal with extraordinary performance & optimization challenges, given the scale of our cybersecurity SW (handling hundreds of billions of events every day).
• Your work will influence the security of tens of millions of Windows devices, that we protect at enterprise & government customers across the globe (incl. 4 of Fortune 10 and hundreds of Global 2000).
• You’ll also be encouraged to share knowledge within both Platform teams and the broader Windows group.

What skills & knowledge should you bring?

• Multiple years of experience as a software engineer in the area of lowlevel programming using modern C++ (or using C and a willingness to learn modern C++)
• Hands-on experience and in-depth understanding of Windows OS design & internals, Windows low-level development, with debugging of Windows applications and familiarity with related standard debugging and profiling tools
• Previous experience working on a production-grade product with a wide-scale deployment
• Great communication skills and the ability to work both independently and with peers from different time zones, problem-solving and out-of-the-box thinking
• Attention to detail and high coding standards
• An advantage: experience with Windows Kernel and Windows Drivers development, experience in security-oriented development, with reversing or malware analysis

Why us?

Because you will work on real-world problems with risks of millions of dollars (protecting against Ransomware and other threats) and make an impact by preventing our customers from appearing in global news after being attacked. You will be joining a technologically cutting-edge project and will be able to influence the architecture, design, and building of our core platform. You will meet extraordinary challenges and work with the very BEST in the industry.

On top of that we offer you

• Flexible working hours, this is a 100% remote role based within Spain; we provide optional membership in major coworking chains
  • Currently for this role in Spain we are able to consider only candidates that are already eligible to work in the EU at the time of applying
  • Optionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EU at the time of applying
    
• Generous employee stock plan in the form of grant of RSUs (restricted stock units), not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
• Yearly bonus depending on the performance of the company, paid out in 2 installments
• 30 Days of Paid Annual Leave
• Flexible Paid Sick Days
• Pension insurance contribution
• Premium Life Insurance covered by S1
• Premium Medical & Dental Insurance covered by S1
• Meal, Transport & Homeoffice allowance of total 440 EUR/month
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
• Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• LinkedIn Learning platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Above-standard referral bonus

& Additional country-specific benefits to Spain

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. 

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing: 

• Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
• Authoring, contributing to and reviewing design documents
• Taking an active role in shaping the roadmap
• Mentoring and supporting other team members and collaborating with different teams across the organization
• Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

• You have strong coding skills and operational experience; you were responsible for operating the software you have built. 
• You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
• You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
• We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In UK, the compensation range for this role is £103,958 - £124,750. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

In Sweden, the compensation range for this role is SEK 878,578 - SEK 1,054,294. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing: 

• Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
• Authoring, contributing to and reviewing design documents
• Taking an active role in shaping the roadmap
• Mentoring and supporting other team members and collaborating with different teams across the organization
• Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

• You have strong coding skills and operational experience; you were responsible for operating the software you have built. 
• You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
• You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
• We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In Spain, the compensation range for this role is €94,025 - €112,830. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

In Ireland, the compensation range for this role is EUR 117,600 - EUR 141,120. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing: 

• Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
• Authoring, contributing to and reviewing design documents
• Taking an active role in shaping the roadmap
• Mentoring and supporting other team members and collaborating with different teams across the organization
• Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

• You have strong coding skills and operational experience; you were responsible for operating the software you have built. 
• You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
• You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
• We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In Germany, the compensation range for this role is €109,709 - €131, 651. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

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

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

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

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

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

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

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

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

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

#LI-Remote

The Mission: Platform as a Product

Your mission is to bridge the gap between "infrastructure" and "developer success". You will transform our platform from a set of tools and processes into a cohesive internal product. You will lead a team of engineers through a period of growth and establish a "paved road" that allows our product teams to ship with zero friction.

The Impact: Driving High-Velocity Delivery

You aren't inheriting a fixed roadmap or team, you are shaping it! Working together with our Staff Engineer, you will define what good looks like and how to become a high performing team. You will oversee delivery timelines, scope and are not afraid of making highly impactful decisions. You don’t care about the ticket throughput, you care about work done.

• Ambiguity: You are not afraid of working with ambiguous requirements and turning them into concrete deliverables. You are comfortable making trade-off decisions and understand that “perfect is the enemy of done”. 
• Team Evolution: You act as a coach and a talent magnet. You will be responsible for the growth, performance, and structure of the Platform unit, ensuring we have a vocal, collaborative, and high-performing culture through continuous learning.
• Raise the Bar: You drive Platform excellence, may it be developer experience, infrastructure or SRE. Communication: You communicate regularly with the other Engineering Managers, manage their expectations and hold them accountable for delivery dependencies.

The Profile: The Practical Strategist

We are looking for a leader who builds high-performing teams. Whether your background is in Platform, Backend, or Data Engineering, you are someone who thrives on solving "the hard stuff", is motivated to educate themself and never leaves a job 80% finished. This is your chance to shape a Platform Domain from the ground up. 

• High Agency: You don't wait for permission to fix a glaring problem. You build the business case, get the buy-in, and get it done. 
• Execution-Focused: You have a track record of taking complex initiatives across the finish line. You understand that "80% done" is often where the most critical technical debt lives, and you have the discipline to drive projects to true 100% completion.
• Strong opinions, weakly held: You have strong opinions on how things should be done, but you are Okay to disagree and commit in order to move forward. 

Who we are

Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.

As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its customers while operating profitably.

About the role : 

At Moniepoint, data is at the core of everything we do. We are a customer-centric company, and your work will enable our teams to make informed, data-driven decisions that directly impact the success of our business. As a Data Engineering Lead, you will help craft robust, scalable systems that support our business intelligence and data-driven operations. We value leaders who are not only technically adept but also excited about mentoring others and pushing the boundaries of what’s possible with data.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

What you will get to do

• Build and maintain robust data pipelines processing large volumes of data
• Analysis of large data sets using tools such as Python & SQL
• Update and optimize our data platform for speed, scalability and cost
• Coordinate with different functional teams to understand and meet their data needs
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Solve general data-related problems
• Setting up new pipelines for the full stream/enrichment/curation process
• Upkeep of source code locations
• Investigating and utilising ML & AI to improve the cloud offering
• Development of junior staff members 

To succeed in this role, you should have

• Proven experience as a Data Engineer (5-7+ years, can be made up for with accomplishments)
• Strong Leadership experience 
• Strong problem solving skills
• Advanced proficiency with SQL
• Proficiency with Python
• Experience with cloud platforms (e.g. Google Cloud, AWS, Azure)
• Experience using version control tools such as git
• Excellent written and verbal communication skills
• A drive to learn and master new technologies and techniques
• A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field

Experience with the following would be a plus

• Data governance
• Building and deploying machine learning models
• Terraform or other infrastructure as code tools

What we can offer you

• Culture - We put our people first and prioritize the well-being of every team member. We have built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter
• A take-home assessment 
• A technical interview with a Lead in our Engineering Team
• A behavioural and technical interview with a member of the Executive team. 

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

he Gaming Integrations team is at an inflection point. We operate ~26 provider integrations across three runtimes (Elixir, Node.js, Erlang) and are the critical path for Superbet entering new markets.

This role is a key part of our capacity plan. You'll join a small but high-impact team and immediately contribute to real challenges: rebuilding our game platform into a scalable, multi-studio platform, and accelerating integration delivery so Superbet launches in new countries faster.

What You'll Be Working

• Elixir platform migration: Contributing to the migration of our Node.js/Erlang integrations to the new Elixir-based platform. Feature parity across runtimes is a blocker for many localizations today.
• Game Studio Integrations: Owning the full lifecycle of new provider integrations (launchUrl, authenticate, balance, debit, credit, void) from implementation through production sign-off.
• Platform architecture: Implementing CI/CD pipelines, shared services, and the modular architecture needed to support multiple exclusive gaming studios at scale.
• Operational excellence: Keeping KTLO (keeping the lights on) under 10% of team capacity while maintaining high availability across all 26+ live integrations.

What We Expect

Project Impact

• Consistently high productivity across many concurrent projects, and delivers large scope with quality and mature practices
• Proactively identifies problems and drives resolution, often without guidance
• Leads larger projects or small squads, runs meetings, writes status reports, tracks delivery
• Helps make the people around them move faster by identifying what's slowing the team down
• Demonstrates impact clearly through metrics, not just activity

Engineering Excellence

• Takes end-to-end ownership of product quality: reliability, efficiency, security, and performance
• Drives engineering efficiency improvements across the org (faster onboarding, better tooling, reduced cycle time)
• Becomes the established go-to owner of at least one component or system with expert depth
• Advocates for rapid prototyping and data-driven idea validation
• Develops and tracks metrics that quantify product quality and engineering efficiency

Communication & Collaboration

• Builds working relationships cross-functionally (product, SRE, QA, integration managers, gaming studios)
• Proactively seeks and acts on feedback
• Gives detailed, specific positive and constructive feedback to the Tribe lead and teammates
• Facilitates fast learning cycles and nurtures innovation within the team

Organizational Impact

• Actively mentors less-experienced engineers and creates conditions for them to grow
• Participates in recruiting and interviewing (especially for diversity recruiting)
• Onboards new team members and makes codebases easy to ramp up on
• Invests in their own skills and brings new knowledge back to the team (currently relevant: Elixir, Kafka operations, distributed systems at scale)

What We're Looking For

• MUSTs
  • High agency — proven track record of unblocking themselves and helping drive improvements across a team
  • Experience with microservice and event-based architectures
  • Experience with Kafka (operating Kafka in production is a strong bonus)
• Experience
  • 5+ years building high-quality software with strong engineering practices (code reviews, CI/CD, design docs)
  • Experience building highly-available, highly-scalable, distributed backend systems
  • Worked cross-functionally in product organizations alongside product managers, designers, and stakeholders
• Technical
  • Node.js / TypeScript
  • Kafka
  • Elixir or functional programming experience — strong bonus (our strategic direction)
  • Kubernetes, Docker, AWS
  • Experience in the betting or gaming industry
• Cultural & Behavioral
  • Strong collaborator — not a solo player, not an asshole
  • Product engineer mindset — not purely tech-focused, understands business context
  • Strong sense of ownership and problem-solving instinct
  • Clear, direct communication

Why Join Us

• T-shaped team where engineers contribute across the full stack and influence technical direction
• Fully remote, team distributed across Europe
• Partner directly with exclusive Game Studios building casino content for Superbet
• Lead and mentor in a small team with high visibility and real ownership
• High-revenue, high-stakes domain with real business impact
• Help steer the technical strategy of a growing team

The Gaming Integrations team is at an inflection point. We operate ~26 provider integrations across three runtimes (Elixir, Node.js, Erlang) and are the critical path for Superbet entering new markets.

This role is a key part of our capacity plan. You'll join a small but high-impact team and immediately contribute to real challenges: rebuilding our game platform into a scalable, multi-studio platform, and accelerating integration delivery so Superbet launches in new countries faster.

What You'll Be Working

• Elixir platform migration: Contributing to the migration of our Node.js/Erlang integrations to the new Elixir-based platform. Feature parity across runtimes is a blocker for many localizations today.
• Game Studio Integrations: Owning the full lifecycle of new provider integrations (launchUrl, authenticate, balance, debit, credit, void) from implementation through production sign-off.
• Platform architecture: Implementing CI/CD pipelines, shared services, and the modular architecture needed to support multiple exclusive gaming studios at scale.
• Operational excellence: Keeping KTLO (keeping the lights on) under 10% of team capacity while maintaining high availability across all 26+ live integrations.

What We Expect

Project Impact

• Consistently high productivity across many concurrent projects, and delivers large scope with quality and mature practices
• Proactively identifies problems and drives resolution, often without guidance
• Leads larger projects or small squads, runs meetings, writes status reports, tracks delivery
• Helps make the people around them move faster by identifying what's slowing the team down
• Demonstrates impact clearly through metrics, not just activity

Engineering Excellence

• Takes end-to-end ownership of product quality: reliability, efficiency, security, and performance
• Drives engineering efficiency improvements across the org (faster onboarding, better tooling, reduced cycle time)
• Becomes the established go-to owner of at least one component or system with expert depth
• Advocates for rapid prototyping and data-driven idea validation
• Develops and tracks metrics that quantify product quality and engineering efficiency

Communication & Collaboration

• Builds working relationships cross-functionally (product, SRE, QA, integration managers, gaming studios)
• Proactively seeks and acts on feedback
• Gives detailed, specific positive and constructive feedback to the Tribe lead and teammates
• Facilitates fast learning cycles and nurtures innovation within the team

Organizational Impact

• Actively mentors less-experienced engineers and creates conditions for them to grow
• Participates in recruiting and interviewing (especially for diversity recruiting)
• Onboards new team members and makes codebases easy to ramp up on
• Invests in their own skills and brings new knowledge back to the team (currently relevant: Elixir, Kafka operations, distributed systems at scale)

What We're Looking For

• MUSTs
  • High agency — proven track record of unblocking themselves and helping drive improvements across a team
  • Experience with microservice and event-based architectures
  • Experience with Kafka (operating Kafka in production is a strong bonus)
• Experience
  • 5+ years building high-quality software with strong engineering practices (code reviews, CI/CD, design docs)
  • Experience building highly-available, highly-scalable, distributed backend systems
  • Worked cross-functionally in product organizations alongside product managers, designers, and stakeholders
• Technical
  • Node.js / TypeScript
  • Kafka
  • Elixir or functional programming experience — strong bonus (our strategic direction)
  • Kubernetes, Docker, AWS
  • Experience in the betting or gaming industry
• Cultural & Behavioral
  • Strong collaborator — not a solo player, not an asshole
  • Product engineer mindset — not purely tech-focused, understands business context
  • Strong sense of ownership and problem-solving instinct
  • Clear, direct communication

Why Join Us

• T-shaped team where engineers contribute across the full stack and influence technical direction
• Fully remote, team distributed across Europe
• Partner directly with exclusive Game Studios building casino content for Superbet
• Lead and mentor in a small team with high visibility and real ownership
• High-revenue, high-stakes domain with real business impact
• Help steer the technical strategy of a growing team

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

About Buynomics:  

Buynomics is the next-generation SaaS company in pricing and product optimization. It employs large-scale simulation technologies to digitize customers and predict their purchase behavior - in any environment. Our clients use Buynomics to make data-driven decisions about their current and new products, overall portfolio structure, pricing, promotions, trade terms, and more, 100x faster and more precisely than every other solution.

Our mission is to enable transparent, customer-centric commercial decisions. We’re building the operating system for commercial strategy, providing companies with a single source of truth for all market-facing questions related to pricing, products, and promotions.

About the role:  

Buynomics is building a modular, service-oriented platform to power advanced commercial decision-making for enterprise customers.

As we expand from multi-tenant SaaS into enterprise single-tenant deployments, we are looking for a Lead Platform Engineer to design and build our multi-cloud Kubernetes foundation.

This role focuses on:

• Secure single-tenant deployments in customer-controlled environments (Azure-first)
• Kubernetes-based service architecture across clouds
• Scalable infrastructure for distributed compute and ML workloads
• Infrastructure automation, security, and operational excellence

You will operate as a senior technical leader, defining the deployment architecture that enables our next-generation platform to run reliably across AWS, Azure, and GCP.

Why this role:

• Greenfield architecture: You are not inheriting legacy — you are designing the deployment platform from scratch
• Enterprise impact: Your work deploys into Fortune 500 customer environments across industries
• Real autonomy: You make architectural decisions, choose tooling, and own the platform roadmap
• AI-native engineering culture: We are all-in on AI-assisted development — you will work alongside a team that ships with AI daily
• Growth path: As enterprise deployments scale, this role grows into leading a dedicated platform team

What you'll do:  

• Design and implement cloud-agnostic, single-tenant deployment architecture (Azure-first, with AWS and GCP support)
• Build and maintain reusable Infrastructure-as-Code modules (Terraform)
• Define and standardize the Kubernetes platform, including workload isolation, auto-scaling, and security policies
• Implement GitOps-based CI/CD and automated environment provisioning
• Enable scalable execution of compute-heavy workloads (e.g. async job queues, ML training pipelines)
• Design secure networking patterns (private endpoints, VNet/VPC design, DNS, IAM/RBAC, zero-trust principles)
• Establish observability standards (structured logging, metrics, distributed tracing, alerting)
• Own cost governance across customer environments: cost attribution, right-sizing, and spend optimization
• Collaborate with engineering teams to define clean service deployment contracts
• Define platform standards, architectural decision records, and operational runbooks
• Ensure platform compliance with SOC 2, ISO 27001, and GDPR through automated policy-as-code guardrails
• Champion AI-assisted infrastructure workflows — we use AI coding tools across engineering and expect platform tooling to follow suit

What you'll need:

• 6+ years of experience in platform engineering, infrastructure, or DevOps/SRE roles
• Strong production experience in Azure (AKS, Azure AD, Managed Identity, Private Networking)
• Solid experience with at least one additional cloud provider (AWS preferred; GCP a plus)
• Hands-on production experience operating Kubernetes at scale (cluster lifecycle, upgrades, multi-tenancy)
• Deep expertise in Infrastructure-as-Code (Terraform), including module design, state management, and CI integration
• Strong knowledge of cloud networking (VPC/VNet, DNS, private routing, firewall configurations)
• Experience designing CI/CD and GitOps workflows
• Experience operating distributed or high-concurrency workloads
• Understanding of compliance frameworks (SOC 2, ISO 27001, GDPR) and ability to implement compliant infrastructure patterns
• Strong system design skills and ability to operate at Staff-level technical depth
• Ability to navigate ambiguity and move initiatives forward independently

Nice-to-Haves:

• Experience deploying software into customer-controlled enterprise cloud environments (single-tenant / BYOC models)
• MLOps experience (model lifecycle, training pipelines, experiment tracking with MLflow, artifact versioning)
• Databricks integration experience (workspace provisioning, Unity Catalog, job orchestration)
• GPU workload optimization and scheduling
• Experience building Internal Developer Platforms using tools like Backstage, Crossplane, or Humanitec
• Service mesh technologies (Istio, Linkerd) and zero-trust networking patterns
• Policy-as-code tooling (OPA/Gatekeeper, Kyverno)
• FinOps practices and multi-environment cost governance

What we offer:

• Dynamic Environment: Join a truly international and diverse team where your ideas matter.
• Flexible Work Model: Enjoy a remote setup with offices located in Cologne and Barcelona.
• Learning Budget: Take advantage of our employee development and education budget to enhance your skills.
• Local Language Classes: Participate in language lessons to support your integration and personal development.
• Health insurance package 
• Personal and professional growth opportunities
• Regular company events

To ensure a smooth and efficient process and that no applications are overlooked, please apply directly to the role. While we'd love to respond to everyone who reaches out, applying ensures that your application is properly tracked and considered.

Buynomics is proud to be an equal-opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. We’re a diverse team in so many ways, and we love it that way.

#LI-Remote

Scopely is looking for a Staff Engineer (LiveOps tools) to serve on and elevate our new casual game, 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.

What You Will Do

As a Staff  Engineer, you will play a crucial role in setting the bar for how we design, build, and operate systems for our mobile game. Your work will focus on C# services, data pipelines, APIs, and system infrastructure, delivering high-quality, reliable, and scalable solutions that support both the game and our internal teams.

• Design, develop, and maintain services and systems to support live game operations and development workflows
• Build and optimize APIs, data pipelines, and integration layers that connect game features, tools, and live operations
• Collaborate with game designers, product managers, and engineers across disciplines to understand requirements and deliver robust backend solutions
• Participate in architectural discussions and code reviews, providing thoughtful feedback and driving engineering best practices
• Evolve standards for C# development, testing, and deployment
• Implement observability, logging, and monitoring for backend services to ensure reliability and performance.
• Provide technical mentorship and guidance to less senior team members, helping them grow their skills and knowledge

What We're Looking For

• Strong background in C# development, with experience in coding, system design, APIs, and services
• Solid knowledge of distributed systems, data modeling, and performance optimization
• Experience with databases (SQL and/or NoSQL) and messaging/queue systems
• Familiarity with cloud environments (e.g., AWS)
• Excellent problem-solving and debugging skills, with the ability to quickly understand complex systems
• Strong communication skills, both written and verbal, and the ability to work well with diverse teams
• A passion for engineering best practices and a dedication to producing high-quality, maintainable code, product testing
• Willingness to learn and adapt to new technologies and programming paradigms
• Understanding of security best practices in backend systems

Bonus Points

• Experience with observability stacks (e.g. Datadog)
• Familiarity with live game development and operations (rollback systems, safety nets, iterative release)
• Knowledge of microservices architectures and event-driven systems
• Experience building internal tooling and automation pipelines

Scopely is looking for a Staff Server Engineer to join our new unannounced project in Barcelona, Spain to work on a hybrid basis 3 times a week. We can support with visa sponsorship and relocation support.

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 distributed team of game enthusiasts who are developing, publishing, and innovating in the mobile games industry, connecting millions of people around the world every day.

We are in the development stages of one of our new unannounced projects. We are looking for passionate game makers to collaborate, get in early and make their mark on this exciting venture

We are in the early stages of development on a bold, unannounced, cross-platform Strategy/MMO title, crafting a team of dedicated and hard-working game makers to join us on this exciting journey!

What You Will Do

• The Staff Backend Software Engineer will lead the effort to develop new backend features for our game, focusing on developing large scale features in collaboration with other developers and game stakeholders
• Work as part of a cross functional team that develops core technologies and game features 
• Mentor members of the backend teams 
• Analyze and identify technical bottlenecks in the existing codebase as well as future implementations, and propose new technical strategies
• Refactor and optimize internal code to improve efficiency, scalability, and maintainability
• Collaborate with other engineering teams to ensure cohesive and scalable backend architecture
• Develop and enforce best practices for code quality, and emphasize maintainability and scalability in a distributed architecture
• Conduct regular code reviews and provide constructive feedback to team members
• Stay up-to-date with the latest industry trends and technologies to continually enhance backend technologies and practices
• Collaborate with Design, Product and other game stakeholders to define roadmap and prioritize technical initiatives.

What We’re Looking For

• Experienced in Software Development
• Experience in developing highly available back-end systems and servers for large-scale MMO games, high-traffic web systems or applications
• Experienced with Go, Python and C#.
• Deep understanding of microservices architecture, cloud-native development, and container orchestration
• Problem-solving skills and ability to lead complex projects
• High leadership skills, with experience mentoring junior and peer engineers
• High degree of collaboration in a cross functional team to deliver product features focused on solid and realistic solutions.

We are looking for a Staff Graphics Engineer in Ireland, UK, Spain, or Portugal in a hybrid or remote basis. We can support with visa sponsorship.

We are looking for strong rendering expertise and a passion for delivering high-quality, high-performance visuals. You will work on real-time rendering features and optimizations that help our game look and run its best across a wide range of devices. 

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

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.

What You Will Do

• Develop and optimize real-time rendering features on mobile platforms using Vulkan (Android) and Metal (iOS).

• Work with clustered/meshlet-based geometry systems, implementing GPU-driven visibility, culling, and LOD.

• Integrate and refine modern rendering techniques such as clustered/tiled lighting, temporal anti-aliasing (TAA), and super-resolution (TSR).

• Assist in the development of real-time global illumination features in collaboration with senior technical staff, ensuring scalability across different device tiers.

• Write and optimize shaders (HLSL/GLSL/MSL) for power-efficient mobile performance.

• Profile GPU/CPU performance and analyze rendering bottlenecks using tools like RenderDoc, Perfetto, Xcode GPU Debugger, and Mali/Snapdragon profilers.

• Contribute to GPU memory layout design, draw submission strategies, and render pass optimizations for tile-based GPUs.

• Collaborate closely with engine and content teams to ensure visuals meet quality and performance goals across platforms.

• Stay informed on industry rendering trends and suggest improvements to our pipeline.

What We Are Looking For

• 5+ years of graphics programming experience, with a focus on mobile platforms.

• Strong C++ skills with experience working in performance-critical rendering code.

• Solid knowledge of Vulkan and/or Metal APIs.

• Experience with Unity’s Scriptable Render Pipeline (SRP), including extending or customizing SRPs.

• Understanding of mobile GPU architecture (tiling, bandwidth, power constraints).

• Proficiency in GPU performance profiling and optimization workflows.

• Familiarity with compute-based rendering techniques, GPU-driven pipelines, and modern culling/visibility approaches.

Bonus Points

• Experience with UE5’s Nanite/Lumen or equivalent advanced rendering solutions.

• Background in custom engine development or low-level rendering systems.

• Contributions to open-source graphics tools or technical publications.

• Cross-platform rendering experience beyond mobile (PC/console).

Join Us as We Build the Datavant Life Sciences Tech Hub in Barcelona

Datavant is expanding its global footprint with the development of our Life Sciences Tech Hub in Barcelona. We are seeking talented technical professionals who are product-oriented, impact-driven, and motivated to help shape the future of healthcare technology.

At Datavant, our Life Sciences technology powers clinical research, real-world evidence generation, pharmacovigilance, and data collaboration across the healthcare ecosystem. As a Software Engineer in our Life Sciences Tech Hub, you will design and build systems that enable secure, privacy-preserving access to high-quality healthcare data used by pharmaceutical companies, biotech innovators, and research organizations worldwide. Your work will directly support the development of new therapies, accelerate clinical trials, and improve patient outcomes by ensuring that critical data is interoperable, scalable, and trustworthy.

Careers at Datavant offer the chance to apply your technical expertise and problem-solving skills in support of our mission: enabling every healthcare decision to be powered by the right data, at the right time, in the right format. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success.

Why join Datavant’s tech team? 

• You’ll collaborate with other engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product vision
• You’ll have the opportunity to coach and mentor colleagues, including code reviews, higher-level software design, and direct management
• The team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems, and algorithmic complexity.

Backend Engineer (Python, Kubernetes, AWS)

The Role

As a Backend Engineer, you will design and build scalable services that power mission-critical applications in a cloud native environment. You will develop Python based systems deployed on Kubernetes and AWS, with a focus on reliability, performance, and security. This role offers strong ownership of backend architecture and the opportunity to shape platform standards and best practices.

What You’ll Do

• Design and implement backend services and APIs using Python frameworks
• Build and deploy containerized applications on Kubernetes in AWS
• Leverage specific AWS services to power those applications (e.g. Clean Rooms, EventBridge, etc.)
• Extend infrastructure as code and improve CI/CD pipelines
• Optimize system performance, scalability, and fault tolerance
• Collaborate with cross-functional teams to define service contracts and architecture
• Monitor production systems and resolve reliability and performance issues

What You’ll Bring

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
• 2+ years of backend software development experience for junior candidates; 6+ years for senior candidates
• Professional experience developing production backend services and APIs in Python
• Hands on experience with Kubernetes and containerized workloads
• Experience deploying and operating services in AWS
• Experience integrating agentic code generation tools such as Claude Code or Codex into day to day software engineering practices

Preferred Qualifications

• Experience with infrastructure as code tools such as Terraform/CloudFormation/Pulumi
• Familiarity with observability tools for logging, metrics, and tracing
• Experience implementing secure authentication and authorization mechanisms
• Understanding of architectural considerations for on premises deployments, including networking and security constraints
• Knowledge of application security best practices (vulnerability management, security posture management, and risk assessment) and compliance frameworks (HIPAA, GDPR, HITRUST)

Perks of joining Datavant in Barcelona

• Competitive and equitable salary
• Hybrid work model, with two days per week based in our Gràcia office
• Daily in-office lunch stipend and access to a fully stocked kitchen
• Comprehensive private health insurance, including out-of-network reimbursement options
• 25 days of annual paid leave
• Six-week “Work from Anywhere” policy 

Join Us as We Build the Datavant Life Sciences Tech Hub in Barcelona

Datavant is expanding its global footprint with the development of our Life Sciences Tech Hub in Barcelona. We are seeking talented technical professionals who are product-oriented, impact-driven, and motivated to help shape the future of healthcare technology.

At Datavant, our Life Sciences technology powers clinical research, real-world evidence generation, pharmacovigilance, and data collaboration across the healthcare ecosystem. As a Software Engineer in our Life Sciences Tech Hub, you will design and build systems that enable secure, privacy-preserving access to high-quality healthcare data used by pharmaceutical companies, biotech innovators, and research organizations worldwide. Your work will directly support the development of new therapies, accelerate clinical trials, and improve patient outcomes by ensuring that critical data is interoperable, scalable, and trustworthy.

Careers at Datavant offer the chance to apply your technical expertise and problem-solving skills in support of our mission: enabling every healthcare decision to be powered by the right data, at the right time, in the right format. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success.

Why join Datavant’s tech team? 

• You’ll collaborate with other engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product vision
• You’ll have the opportunity to coach and mentor colleagues, including code reviews, higher-level software design, and direct management
• The team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems, and algorithmic complexity.

Data Engineer (Python, Spark, Snowflake)

The Role

As a Data Engineer, you will build and scale health data pipelines that enable data discoverability, linkage, privacy, machine learning, and analytics across the organization. You will work with Python, Spark, and Snowflake to design efficient data models and reliable processing frameworks. This role provides the opportunity to shape foundational data infrastructure that supports regulatory-grade health decisions at scale.

What You’ll Do

• Design and maintain scalable data pipelines using Python, Spark, and Airflow
• Ensure pipeline reliability, data quality, and observability
• Partner with Science and Product to define and prioritize data requirements
• Implement automated testing and optimize processing performance and cost
• Design and maintain data validation frameworks aligned with regulatory requirements

What You’ll Bring

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience
• 2+ years of data engineering or software engineering experience for junior candidates; 5+ years for senior candidates
• Professional experience building data pipelines in Python
• Hands on experience with distributed data processing frameworks such as Apache Spark and orchestration with Airflow
• Experience working with cloud data warehouses such as Snowflake
• Experience integrating agentic code generation tools such as Claude Code or Codex into day to day software engineering practices

Preferred Qualifications

• Experience designing dimensional or analytics data models
• Experience working in AWS-based data environments
• Experience implementing data governance and quality frameworks
• Understanding of architectural considerations for on premises deployments, including networking and security constraints
• Knowledge of application security best practices (vulnerability management, security posture management, and risk assessment) and compliance frameworks (HIPAA, GDPR, HITRUST)

Perks of joining Datavant in Barcelona

• Competitive and equitable salary
• Hybrid work model, with two days per week based in our Gràcia office
• Daily in-office lunch stipend and access to a fully stocked kitchen
• Comprehensive private health insurance, including out-of-network reimbursement options
• 25 days of annual paid leave
• Six-week “Work from Anywhere” policy 

Join Us as We Build the Datavant Life Sciences Tech Hub in Barcelona

Datavant is expanding its global footprint with the development of our Life Sciences Tech Hub in Barcelona. We are seeking talented technical professionals who are product-oriented, impact-driven, and motivated to help shape the future of healthcare technology.

At Datavant, our Life Sciences technology powers clinical research, real-world evidence generation, pharmacovigilance, and data collaboration across the healthcare ecosystem. As a Software Engineer in our Life Sciences Tech Hub, you will design and build systems that enable secure, privacy-preserving access to high-quality healthcare data used by pharmaceutical companies, biotech innovators, and research organizations worldwide. Your work will directly support the development of new therapies, accelerate clinical trials, and improve patient outcomes by ensuring that critical data is interoperable, scalable, and trustworthy.

Careers at Datavant offer the chance to apply your technical expertise and problem-solving skills in support of our mission: enabling every healthcare decision to be powered by the right data, at the right time, in the right format. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success.

Why join Datavant’s tech team? 

• You’ll collaborate with other engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product vision
• You’ll have the opportunity to coach and mentor colleagues, including code reviews, higher-level software design, and direct management
• The team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems, and algorithmic complexity.

Full Stack Engineer (Python, React w/ Typescript)

The Role

As a Full-Stack Engineer, you will build and scale user-facing applications and backend services that support complex data-driven workflows. You will contribute across the stack, from designing APIs in Python to developing intuitive interfaces in React. This role provides meaningful ownership of features that directly impact customers and internal stakeholders.

What You’ll Do

• Design and implement backend services using Python and Django/Flask/FastAPI
• Build responsive, maintainable front-end applications using React with TypeScript
• Develop and maintain RESTful APIs and data models
• Collaborate with Product and Design partners to deliver high-quality features
• Write automated tests and participate in code reviews to ensure reliability
• Optimize application performance, scalability, and security

What You’ll Bring

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
• 2+ years of full-stack software development experience for junior candidates; 5+ years for senior candidates
• Professional experience building backend services in Python and Django/Flask/FastAPI
• Experience developing front-end applications using React
• Experience working with relational databases and version control systems
• Experience integrating agentic code generation tools such as Claude Code or Codex into day to day software engineering practice

Preferred Qualifications

• Experience designing and maintaining RESTful APIs in production environments
  Familiarity with cloud platforms such as AWS, GCP, or Azure
• Experience implementing CI/CD pipelines
• Familiarity with architectures spanning cloud and on premises infrastructure
• Knowledge of application security best practices (vulnerability management, security posture management, and risk assessment) and compliance frameworks (HIPAA, GDPR, HITRUST)

Perks of joining Datavant in Barcelona

• Competitive and equitable salary
• Hybrid work model, with two days per week based in our Gràcia office
• Daily in-office lunch stipend and access to a fully stocked kitchen
• Comprehensive private health insurance, including out-of-network reimbursement options
• 25 days of annual paid leave
• Six-week “Work from Anywhere” policy 

Description

As a platform engineer, you will contribute to all parts of the software development lifecycle, including design, development, documentation, testing, platform automation and operations. You will play a key role in defining problems, designing solutions, and executing to achieve results. You will collaborate with other engineers to lead continuous improvements, refactoring, and rearchitecting to meet the growing expectations of our legacy system. 

You will also partner cross-functionally with our product and science teams to provide insights on technology advancements contributing to increased scalability, reliability, and availability for the platform.

Responsibilities

The following duties include, but are not limited to...

• Further automate our infrastructure and tooling.
• Develop and document highly performant and scalable component and software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes; investigating problem areas; and following the software development lifecycle.
• Provide expertise on devising technical solutions, and make shrewd judgment calls on when and how to invest in tactical vs. strategic solutions.
• Implement automated tests to validate changes to the infrastructure as code (IaC) and configuration files, and generally to increase overall coverage.
• Provide insights and suggest technology advancements for the CI/CD harness and automated delivery systems  scalability, reliability, and availability. 
• Mentor, guide, and develop less senior engineers.
• Document each aspect of a system or application as a reference for future upgrades and maintenance, as well as faster onboarding of new hires.
• Collaborate closely with our product, design, and science teams to understand the needs of our clients

Qualifications

Required

• Bachelor's Degree in Computer Science, Engineering, or related field (or equivalent experience).
• Experience with containerized, distributed systems using Kubernetes, and CI/CD.
• 5+ years of experience writing production-level code in Python or Go.
• Ability to demonstrate understanding of system design, data structures, and algorithms.

Preferred

• Agile Methodology experience leveraging CI/CD.
• Experience with big datasets. 
• Ability to prioritize, communicate well, design for repeatability and scalability, exude ownership, and dig beneath the hood with technology.
• Enthusiastic about working in highly collaborative team environments, including partnering with product teams to find creative solutions for challenging engineering problems.

Perks of joining Datavant in Barcelona

• 25 vacation days
• Daily in-office lunch stipend (and a fully stocked kitchen)  
• Hybrid work model: 2 days/ week in our office in Gracia
• Commitment to professional development opportunities 
• Employee-led initiatives including annual company-wide innovation day & DEI resource groups 
• Comprehensive private health coverage w/ out-of-network reimbursements options 
• Flexible remuneration with Cobee (Restaurant, Transportation, Nursery)
• Peer & company recognition programs
• Monthly educational lunch & learns

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We are looking for a Staff Software Engineer who will operate far beyond the scope of a single team or service. In this role, you will work directly with senior engineering leadership to tackle large, cross-area technical challenges that impact dozens — sometimes hundreds — of services across the platform.

This is a role for someone who thrives on complex systems, ambiguous problems, and high-impact architectural decisions. You will help shape technical strategy, guide major platform evolutions, and ensure our systems remain scalable, reliable, and efficient as we grow.

We're are looking for someone who has:

• A minimum of 8 years of hands on experience in a large scale production environment
• Has experience in designing and implementing solutions on an organizational level, impacting multiple teams/tribes
• Has experience engineering high-quality, highly scalable software 
• A willingness to learn new technologies (we are working with Golang, Erlang)
• Strong system design fundamentals, particularly in distributed systems 
• Ability to analyze complex technical problems and develop clear strategies
• Comfort working in ambiguous, high-impact problem spaces 
• Strong communication skills and the ability to influence technical direction across teams
• A passion for creating user-centric, data driven solutions

Bonus points for:

• Experience in Fintech
• Interest in Functional Programming

What you will do:

• Collaborate closely with engineering leadership and teams to design and implement scalable and robust software solutions
• Analyze complex system challenges and create strategies for improving architecture, scalability, and platform efficiency
• Drive large cross-team initiatives from concept to execution, influencing decisions and aligning multiple teams
• Enhance system automation (scale, resiliency, deployment)
• Build and enhance core platform components and shared libraries (AWS, Go, Erlang, Kafka) used across the organization
• Work with technical and non-technical stakeholders from the wider organization to understand and drive improvements across the platform
• Build on our CloudNative platform, enabling more use of AWS technology to aid in speeding up delivery, scale, and resiliency
• Grow the engineering community, building on the existing process and practices
• Elevate engineering standards, helping teams grow and operate more efficiently

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We are looking for a Staff Software Engineer who will operate far beyond the scope of a single team or service. In this role, you will work directly with senior engineering leadership to tackle large, cross-area technical challenges that impact dozens — sometimes hundreds — of services across the platform.

This is a role for someone who thrives on complex systems, ambiguous problems, and high-impact architectural decisions. You will help shape technical strategy, guide major platform evolutions, and ensure our systems remain scalable, reliable, and efficient as we grow.

We're are looking for someone who has:

• A minimum of 8 years of hands on experience in a large scale production environment
• Has experience in designing and implementing solutions on an organizational level, impacting multiple teams/tribes
• Has experience engineering high-quality, highly scalable software 
• A willingness to learn new technologies (we are working with Golang, Erlang)
• Strong system design fundamentals, particularly in distributed systems 
• Ability to analyze complex technical problems and develop clear strategies
• Comfort working in ambiguous, high-impact problem spaces 
• Strong communication skills and the ability to influence technical direction across teams
• A passion for creating user-centric, data driven solutions

Bonus points for:

• Experience in Fintech
• Interest in Functional Programming

What you will do:

• Collaborate closely with engineering leadership and teams to design and implement scalable and robust software solutions
• Analyze complex system challenges and create strategies for improving architecture, scalability, and platform efficiency
• Drive large cross-team initiatives from concept to execution, influencing decisions and aligning multiple teams
• Enhance system automation (scale, resiliency, deployment)
• Build and enhance core platform components and shared libraries (AWS, Go, Erlang, Kafka) used across the organization
• Work with technical and non-technical stakeholders from the wider organization to understand and drive improvements across the platform
• Build on our CloudNative platform, enabling more use of AWS technology to aid in speeding up delivery, scale, and resiliency
• Grow the engineering community, building on the existing process and practices
• Elevate engineering standards, helping teams grow and operate more efficiently

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We are looking for a Staff Software Engineer who will operate far beyond the scope of a single team or service. In this role, you will work directly with senior engineering leadership to tackle large, cross-area technical challenges that impact dozens — sometimes hundreds — of services across the platform.

This is a role for someone who thrives on complex systems, ambiguous problems, and high-impact architectural decisions. You will help shape technical strategy, guide major platform evolutions, and ensure our systems remain scalable, reliable, and efficient as we grow.

We're are looking for someone who has:

• A minimum of 8 years of hands on experience in a large scale production environment
• Has experience in designing and implementing solutions on an organizational level, impacting multiple teams/tribes
• Has experience engineering high-quality, highly scalable software 
• A willingness to learn new technologies (we are working with Golang, Erlang)
• Strong system design fundamentals, particularly in distributed systems 
• Ability to analyze complex technical problems and develop clear strategies
• Comfort working in ambiguous, high-impact problem spaces 
• Strong communication skills and the ability to influence technical direction across teams
• A passion for creating user-centric, data driven solutions

Bonus points for:

• Experience in Fintech
• Interest in Functional Programming

What you will do:

• Collaborate closely with engineering leadership and teams to design and implement scalable and robust software solutions
• Analyze complex system challenges and create strategies for improving architecture, scalability, and platform efficiency
• Drive large cross-team initiatives from concept to execution, influencing decisions and aligning multiple teams
• Enhance system automation (scale, resiliency, deployment)
• Build and enhance core platform components and shared libraries (AWS, Go, Erlang, Kafka) used across the organization
• Work with technical and non-technical stakeholders from the wider organization to understand and drive improvements across the platform
• Build on our CloudNative platform, enabling more use of AWS technology to aid in speeding up delivery, scale, and resiliency
• Grow the engineering community, building on the existing process and practices
• Elevate engineering standards, helping teams grow and operate more efficiently

At JetBrains, we build developer tools that help engineers stay focused on solving hard problems instead of fighting routine work.

Within JetBrains AI, we are collaborating with Zed on the Agent Client Protocol (ACP), an open protocol that lets AI coding agents work inside editors and IDEs. ACP is already supported in JetBrains AI Assistant, and the project is jointly governed by JetBrains and Zed. We see ACP as a long-term investment in interoperability, developer choice, and durable AI-powered workflows across the JetBrains ecosystem. (The JetBrains Blog).

ACP evolves in the open. Real-time coordination happens in Zulip, actionable work is tracked in GitHub Issues, longer-form discussion happens in GitHub Discussions, and substantial protocol changes move through the RFD process. We need someone who can help JetBrains shape that work from the product side: define the right developer scenarios, align internal and external stakeholders, and turn ecosystem needs into clear priorities for JetBrains and for the protocol. (Agent Client Protocol).

This is not a generalist product management role. It is also not a pure protocol engineering role. It sits between developer-experience product work and protocol evolution.

This role is often a strong fit for someone who has spent several years as a software engineer – ideally on APIs, SDKs, web/backend systems, libraries, frameworks, or platform integrations – and then moved into product management or a hybrid product or engineering role.

This will be an exciting opportunity if you:

• Want to shape an open interoperability layer for AI-native software development.
• Enjoy turning messy cross-team technical discussions into clear product direction.
• Like working with engineers, agent developers, and external partners to make complex systems usable and durable.

In this role, you will:

• Identify and prioritize the developer scenarios JetBrains should support through ACP in JetBrains IDEs.
• Study how those scenarios are already handled in CLIs and agents, and define coherent IDE-native flows that JetBrains should support.
• Work on examples such as plan mode, sub-agent workflows, or agent-to-agent communication, and turn them into clear scenario definitions and product requirements.
• Talk to JetBrains product and engineering teams, external agent developers, and partners to collect requirements, constraints, and compatibility concerns.
• Turn those inputs into crisp problem statements, GitHub Issues, success criteria, and roadmap priorities.
• Partner closely with protocol engineers and ACP maintainers to translate validated scenarios into protocol proposals, implementation requirements, and delivery plans.
• Represent JetBrains in regular protocol conversations with Zed and the broader ACP community, helping drive alignment on what belongs in the protocol, what should remain implementation-specific, and what should wait.
• Balance immediate JetBrains product needs against long-term protocol design concerns such as extensibility, backward compatibility, clarity, and ecosystem fit.
• Define and monitor the right telemetry and product metrics for ACP-related surfaces, including agent installation success, authentication success, protocol feature adoption, task completion, reliability, and developer satisfaction.
• Help JetBrains make long-term, product-quality decisions about supporting ACP across multiple IDE experiences.
• Communicate decisions, trade-offs, and priorities clearly to highly technical stakeholders inside and outside JetBrains.

We’ll be happy to have you on our team if you:

• Have 1-4 years of product management experience, or equivalent end-to-end ownership in a hybrid engineering/product role.
• Have a substantial software engineering background and hands-on production coding experience in real systems.
• Understand how modern web and integration primitives work in practice, including OAuth, WebSockets, HTTP, JSON-RPC, and service-to-service communication.
• Are comfortable reasoning about APIs, protocols, payload schemas, event-driven systems, authentication flows, local/remote execution, and backward compatibility.
• Can discuss technical details credibly with engineers and agent developers, even when the conversation goes deep into protocol behavior, edge cases, or extensibility.
• Can take raw technical feedback and turn it into clear user scenarios, requirements, issue tickets, and written decisions.
• Have strong product judgment and can distinguish between a JetBrains-specific UX choice and a protocol-level capability that should be standardized.
• Have a data-driven mindset and know how to combine telemetry, qualitative feedback, and ecosystem signals in product decisions.
• Have strong spoken and written English.

We’d be especially thrilled if you:

• Previously worked as a senior software engineer, staff engineer, library/framework maintainer, SDK owner, or platform/integration engineer before moving closer to product work.
• Have experience with developer tools, IDEs, AI coding agents, CLI workflows, or interoperability layers such as LSP, MCP, or ACP.
• Have contributed to open-source projects or standards-like processes.
• Are comfortable working in public GitHub workflows with Issues, Discussions, pull requests, and proposal documents.
• Have built or supported products where compatibility, extensibility, and future-proofing mattered.
• Use JetBrains IDEs regularly.

#LI-KL1 

Tech environment

This role is intentionally not defined by one framework or specialty. That said, you will likely operate in an environment that includes Python-based services and APIs, relational databases, data-warehouses, real time databases and SQL, event-driven or distributed systems, cloud infrastructure, containers, CI/CD pipelines, and observability tooling. Depending on the project, you may also work with AI APIs, LLM-based workflows, retrieval patterns, and automation tooling.

Nice to have

• Experience working on internal platforms, operational tools, or product-heavy backend systems.
• Experience with Python frameworks such as Django, Flask, or FastAPI.
• Experience with PostgreSQL, Snowflake, Tinybird, Redis, and SQL-heavy applications.
• Familiarity with event-driven architectures or messaging systems such as Kafka or RabbitMQ.
• Experience with AWS, Docker, Kubernetes, Terraform, or similar infrastructure patterns.
• Familiarity with observability and monitoring tooling.
• Exposure to AI-enabled product development, LLM integrations, RAG patterns, or workflow automation.
• Experience working on 0→1 initiatives or undefined problem spaces.
• Demonstrated leadership through ownership of difficult projects with broad impact.

What success looks like

• You turn ambiguous opportunities into working systems or products that create clear value.
• You help teams make better trade-offs and avoid overengineering, fragmentation, and local optimization.
• You improve not only what gets built, but also how decisions are made.
• You become a trusted technical leader for important cross-functional initiatives.
• You increase the leverage of other engineers and teams through your judgment, technical direction, and execution support.
• You help connect engineering work to real operational and business outcomes.

Who will thrive in this role

You will likely thrive here if:

• You are energized by ambitious, messy, high-leverage problems.
• You like operating where priorities evolve and the path is not fully defined.
• You care more about impact than about staying inside a narrowly defined engineering lane.
• You enjoy combining engineering depth, product thinking, and business context.
• You naturally look for the highest-leverage way to move a system, a team, or a product forward.
• You want to play a meaningful role in shaping how the company builds and scales. 

Why join Fever

• You will work on some of the company’s most strategic problems.
• You will have real ownership and visible impact.
• You will help shape products, systems, and capabilities that matter across the business.
• You will work in an environment that values ambition, adaptability, pragmatism, and execution.
• You will be surrounded by smart, driven people who care about building things that matter.

Benefits & Perks

• Flexible schedule
• 2 days per week at the office
• 40% discount on all Fever events and experiences
• Health insurance from Day 1
• English or Spanish Lessons
• Wellhub Membership
• Cobee (tax free allowance on restaurants and transport)
• Possibility to receive in advance part of your salary by Payflow

Staff Backend Engineer - Adaptive Telemetry

This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden.

The Opportunity:

What is Grafana Cloud?

Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.

The Databases department owns and operates the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. We offer our databases as a Cloud service supporting Grafana Cloud.

Adaptive Telemetry Group

The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics, Adaptive Logs, Adaptive Traces and Adaptive Profiles.

Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. 

What will you be doing:

• Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
  
  
• Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives.
  
  
• Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
  
  
• Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
  
  
• Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
  
  
• Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
  
  
• Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
  
  
• Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What makes you a great fit:

You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs 

• Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
  
  
• Strong systems-design instincts. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
  
  
• Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
  
  
• Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
  
  
• Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
  
  
• Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
  
  
• Experience with messaging and telemetry. Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
  
  
• Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
  
  
• Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders.

Compensation & Rewards:

In Germany, the Base compensation range for this role is €106,000 - €127,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

Role Overview:

Netskope is seeking a high-caliber Privacy Engineering Staff Engineer to bridge the gap between legal compliance, data protection technology, and core product engineering. This is a dual-impact role: you will be responsible for the technical "Privacy by Design" controls for the Netskope platform while serving as a strategic deputy to the Global Privacy & Data Protection Officer (DPO).

As the Strategic Deputy to the Global Privacy & Data Protection Officer (DPO), you move beyond task completion to achieve high-level organizational influence.

• Global Compliance Strategy: Support the execution of a multi-jurisdictional privacy program that anticipates the rapid evolution of global data protection laws.
• Board & Audit Influence: Translate complex technical privacy risks into compelling, quantifiable narratives for the Audit Committee and Board of Directors.
• Risk Governance: Oversee the operational maturity of our privacy program within LogicGate, ensuring a closed-loop system of accountability, audit readiness, and incident response.
• DPIA & Rights Leadership: Act as the technical authority for high-risk Data Protection Impact Assessments (DPIAs) and ensure our Data Subject Rights (DSAR) engine operates at optimal efficiency.

You will be the lead privacy architect ensuring that Netskope’s innovation is inherently respectful of data.

• Component Design Review: Lead the privacy-first technical review of every new component within the Netskope platform, engaging with engineering at the "whiteboard phase" to eliminate risks before they reach production.
• PET Implementation: Direct the integration of Privacy Enhancing Technologies (PETs) such as differential privacy, homomorphic encryption, and k-anonymity into the Netskope product suite.
• AI Governance Leadership: Hold a seat on the AI Governance Committee whilst supporting the AI Ambassador program to ensure that AI innovations are built on a foundation of responsible data use.
• Technical Data Defense: Enhance DLP, DSPM, and AI/ML-driven security within our AWS and corporate environments to set the "Gold Standard" for internal data protection.

Key Responsibilities

Product Privacy Engineering & PETs

• Architectural Oversight: Review all new component designs within the Netskope platform to ensure structural compliance with "Privacy by Design" principles.
• PET Integration: Lead the design and implementation of Privacy Enhancing Technologies (PETs) such as differential privacy, homomorphic encryption, or k-anonymity within Netskope product features.
• Early Engagement: Act as a dedicated privacy consultant to product engineering teams during the ideation phase to identify and mitigate privacy risks before code is written.

Deputy Data Protection Officer (DPO) Functions

• Regulatory Support: Support the DPO in managing multi-jurisdictional compliance as the number of global privacy laws continues to rise.
• DPIA Leadership: Conduct and oversee Data Protection Impact Assessments (DPIAs) for high-risk processing activities, ensuring they meet the standard of global regulations.
• Privacy Leadership: Engagement with Netskope customers and partners on privacy and data protection concerns. Provide executive leadership to CISO, Legal and Privacy teams for some of the largest and most prestigious organizations in the world.

Technical Data Protection & AI Governance

• Advanced Controls: Utilize DLP (Data Loss Prevention) and DSPM (Data Security Posture Management) to secure the corporate data lifecycle.
• AI/ML Security: Implement data protection strategies specifically for AI/ML workloads, managing risks associated with training data and model inference.
• AI Advocacy: Serve on the AI Governance Committee and support the AI Ambassador program, fostering a culture of responsible AI use across the organization.

Platform Management

• LogicGate Administration: Manage and optimize the privacy module within LogicGate to track risks, audits, and compliance tasks.
• Netskope Corp Tenant: Take administrative responsibility of the Netskope corporate tenant’s privacy controls, ensuring our own use of the platform is a "Gold Standard" for customers.

Technical Requirements

• AWS Cloud Expertise:
• Cloud-Native Data Protection
• Infrastructure Security
• DSPM Integration.
• Software Engineering Fundamentals.
• API
• Data Architecture Knowledge
• AI/ML

Leadership Competencies & Soft Skills

• Strategic Influence: Ability to translate complex technical privacy risks into business-level impacts for the Audit Committee and Executive Leadership.
• Collaborative Engineering: Proven track record of building "security-first and privacy-first" cultures within engineering teams without slowing down the development lifecycle.
• Ethical Leadership: Strong judgment and integrity, particularly when serving on the AI Governance Committee to balance innovation with ethical data use.
• Stakeholder Management: Excellent communication skills to manage relationships with third-party vendors, legal counsel, and regulators.

Candidate Profile & Qualifications

• Experience: 5+ years in senior technical roles, preferably with a background in security engineering, privacy engineering, or data governance.

#LI-CS1

About The Role 💻

We are looking for a Senior MLE Staff Engineer who is an expert in the deployment and scaling of LLMs and Agentic systems. In this role, you will bridge the gap between machine learning experimentation and production at scale by building the robust, highly efficient platform that powers our AI initiatives.

While our Data Science teams focus on developing and tuning state-of-the-art models, you will be the owner of the platform that enables them. You will define best practices, build automated pipelines, and ensure that our infrastructure can handle complex agentic workflows with high reliability and performance. This is a role for a visionary who stays ahead of the daily shifts in the AI landscape and can rapidly adapt our stack to leverage emerging trends.

For more insight into the technologies used by the engineering team at Clarity AI, please explore our Tech Stack

What You’ll Be Doing 🚀

As a Senior MLE Staff Engineer, you will be responsible for:

• GenAI Platform Engineering: Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems.
• Infrastructure for Agents: Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops.
• High-Scale Productionization & Model Serving: Scaling inference for LLMs to handle global demand while optimizing for latency, throughput, and cost. Implement standard batch and online serving with controlled rollback.
• Build & Delivery: Establishing the "Golden Path" for model deployment through a self-service path to move code, data, and models to production safely and reproducibly, including automated evaluation frameworks, safety guardrails, and CI/CD/CT pipelines.
• Strategic Vision & Product Management: Continuously monitoring the AI ecosystem and proactively evolving our platform to maintain a competitive edge. This includes adopting best practices in Platform Product Management and driving the adoption of golden-path solutions.
• End-to-End Observability: Implementing deep observability for LLMs, tracking not just system health but providing unified visibility into health, impact, and root cause across data, ML, and GenAI (including model hallucinations, token usage, and RAG performance).
• Collaborative Foundation: Providing the tools and abstractions that allow Data Scientists and stakeholders to move from a "tuned model" to a "production service" with zero friction.

Location 🌍

The role is based in our tech hub in Madrid, Spain, but we are remote-friendly and open to the CET timezone +/- 2 hours.
Way of Working: Remote/Hybrid

What You’ll Need 👀

• LLM & Agent Expertise: Deep, hands-on experience deploying Large Language Models and complex agentic architectures at scale.
• GenAI Platform Specifics: Proven experience in implementing Prompt Lifecycle Management (versioning, testing, and deploying prompts as code), an LLM Abstraction Layer (provider-agnostic access), and systems for Cost & Usage Control (visibility and limits on GenAI spend per use case).
• Evaluation & Benchmarking Mastery: Expert-level experience building automated evaluation pipelines and frameworks (e.g., Ragas, DeepEval, G-Eval) and implementing LLM-as-a-judge patterns to validate model quality, grounding, and safety in CI/CD.
• Platform & MLOps Mindset: A proven track record of building platforms or shared infrastructure. Deep understanding of MLOps concepts like Model Registry (versioning, state management, and lineage) and Model Monitoring & Drift Detection.
• 3+ years of experience in MLOps or high-scale Software Engineering with a focus on AI production environments.
• Technical Stack Mastery: Expert-level Python and deep experience with container orchestration (Kubernetes, Docker) and cloud infrastructure (AWS/GCP).
• AI Tooling & Frameworks: Proficiency with orchestration libraries (e.g., LangChain, LlamaIndex, CrewAI), vector databases (e.g., Pinecone, Weaviate), and inference engines (e.g., vLLM, TGI).
• Agility & Adaptability: The ability to learn and implement new technologies in a field that changes weekly. You should be a "fast mover" who enjoys constant evolution.
• Software Excellence & Governance: Strong fundamentals in API design, microservices, and "GitOps" methodologies, including the implementation of automated security and compliance by default.
• English Proficiency: Excellent communication skills (minimum C1 level), with the ability to articulate technical vision to both engineers and leadership.

What We Offer 🥁

• Competitive compensation, both in terms of base salary as well as equity plans that enable to you to share in our success
• Flexibility in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces 
• Generous paid time off schemes, including vacation, sabbatical, religious observance and compensation days
• Meaningful benefits including private healthcare coverage, fitness and wellness programs covered through Wellhub, working-from-home allowances to help you set up your home office and cover monthly expenses
• Professional development with annual training budget for conferences, courses, certifications and access to top market e-learning platforms
• Collaborative environment with multiple offices around the globe, regular team activities and events as well as employee-led resource groups

About the role

As a Staff Backend Engineer at Fortis, you’ll help us build an amazing Original IP  through all the development stages, from concept to launch. You will work closely with highly talented game designers, artists, and other engineers to design, implement, and launch a large-scale multiplayer experience and leave your mark on a game that will last for years.

What you’ll achieve

• Develop game features from prototype through to live operations, ensuring quality and stability throughout the full lifecycle.
• Design, implement, and support scalable CI/CD pipelines to streamline development and deployment processes.
• Profile and analyze backend systems to identify and resolve complex bugs and performance issues.
• Perform backend load testing to ensure the game infrastructure can handle scale and peak player activity.
• Collaborate with client-side engineers to create secure, server-authoritative gameplay systems.
• Build and maintain DevOps workflows in a cloud-based environment, primarily using AWS services.
• Create clear, well-structured technical documentation to communicate design decisions and architecture to the broader team.
• Contribute to studio-wide engineering standards by following and shaping development guidelines and code quality practices.

What you’ll need to be successful

• Extensive software engineering experience in the games industry or with large-scale, real-time, low-latency systems, with a strong track record of delivering high-quality solutions.
• Hands-on experience developing backend services for real-time, multiplayer Unity games or streaming solutions using C# and .NET strongly preferred.
• Solid background in building multi-service backends using AWS cloud infrastructure and tools.
• Comfortable working in a fast-paced, iterative development environment, incorporating feedback to refine game features.
• Collaborative mindset with experience working on cross-discipline teams alongside designers, artists, and other engineers.
• Self-motivated and detail-oriented, thriving in dynamic, entrepreneurial settings where initiative is key.
• Firm grasp of game mechanics, systems design, and how technical choices impact player experience.
• Fluent in English with clear and effective communication skills, both written and verbal.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.