Our client is an international team of industry and domain experts focused on transforming the travel and transportation industry through advanced technologies. The company helps industry leaders achieve commercial success by leveraging modern, data-driven and scalable software solutions.
Project Description
The goal is to join a self-organizing QA team and lead testing initiatives across a microservices-based platform. The project involves close collaboration with Product Owners, Architects, and Engineering teams to ensure high-quality software delivery. You will drive testing strategies, automation, and best practices across the full development lifecycle, with a strong focus on API and end-to-end testing.
Technologies
Python, SQL
Postman, Datadog
Robot Framework, Playwright
REST, Pub/Sub, Kafka
Kubernetes, GCP
What You'll Do
Design and implement test strategies and test plans
Develop and maintain automated test scripts (API, E2E, contract, performance)
Perform manual testing for complex scenarios
Implement test automation for microservices architecture
Integrate automated tests into CI/CD pipelines
Identify, track, and manage defects
Maintain test documentation (test cases, plans, reports)
Collaborate with cross-functional teams to ensure product quality
Mentor QA engineers and promote best practices
Monitor quality metrics and continuously improve testing processes
Job Requirements
5+ years of experience in QA / Test Automation
Strong experience with API testing and microservices-based systems
Hands-on experience with Python
Deep understanding of manual and automated testing methodologies
Experience with various testing types (E2E, API, contract, performance, UI)
Strong knowledge of SQL
Understanding of cloud platforms (GCP or similar)
Experience integrating testing into CI/CD pipelines
Strong analytical and problem-solving skills
Experience working in Agile environments
Ability to create and maintain test documentation and strategies
Strong communication and collaboration skills
English level: B2 (Upper-Intermediate) or higher
What Do We Offer
The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
English courses;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
Our client is a global leader in access solutions and smart home technologies. With over a decade of innovation in the IoT space, the company is a pioneer in connected home solutions, including garage door openers, gate systems, and smart access management tools. One of their flagship innovations is the platform, which allows users to control and monitor their home access systems through connected devices. The current focus is a mobile app designed to support and manage gated communities.
Project Description
AI platform is a modern, cloud-native, and device-integrated system supporting advanced computer vision, generative AI, and smart automation for access control and security. The platform is continuously evolving, with a strong focus on validation, automation, and scalability to support millions of IoT devices and next-generation smart home features.
Technologies
Python
FastAPI
AWS
Docker
Kubernetes
CI/CD
LLM / Generative AI
vLLM
Kafka / RabbitMQ
What You'll Do
Design and implement a rules engine platform as part of the AI microservices ecosystem;
Collaborate with AI/ML engineers to integrate business logic and rule-based decisioning into the platform;
Develop robust, maintainable, and scalable Python microservices;
Ensure high code quality, test coverage, and adherence to best practices (PEP 8, code reviews, CI/CD);
Work with containerization (Docker) and orchestration (Kubernetes) for deployment.
Job Requirements
4+ years of experience with Python;
Experience building rules engines or similar business logic platforms;
Experience with FastAPI or similar frameworks;
Experience with Docker, Kubernetes, and CI/CD pipelines;
Experience working with AWS (EKS, SQS, S3, EC2, MSK);
Strong software engineering fundamentals and clean code practices;
Basic experience with LLMs and tools like vLLM;
Strong communication skills;
English proficiency at B2 level or higher;
Nice to Have:
Background in AI/ML platforms or agent frameworks;
Familiarity with messaging systems (RabbitMQ, Kafka);
Understanding of concurrent programming;
Exposure to Amazon Bedrock;
Familiarity with observability tools (OpenTelemetry, DataDog);
What Do We Offer
The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
English courses;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
We are looking for experienced Senior Software Engineers who can develop production-level microservices to join our Fintech group here at Wolt.
Our Engineering organization at Wolt consists of 700+ Engineers working across 70+ product teams. Some of us work on the visible parts, making our services easy on the eye and some of us focus on the unseen magic happening behind the scenes. ✨
Our Engineers handle the whole development process (business logic, testing, database & data streaming, CI/CD, analytics, cloud) in an autonomous manner. They build things that are accessible and made to scale. They keep our systems in the best shape by simplifying the unnecessary complexity.
We make the decisions as a team and group of teams for our ways of working and we take architectural decisions together. Everyone plays a role in our future.
Our Engineers choose the best technologies that work for Wolt, their teams and themselves. Making good choices means finding scalable, robust technology that works in everyone’s best interests. The freedom to experiment and adopt the best technology benefits everyone.
The main stack for these roles consists for example Golang (Echo), Kotlin (Ktor, Koin, Spring, grpc…), PostgreSQL, MongoDB, Kafka, Redis, GitHub Actions, AWS, Docker and Kubernetes.
Needless to say, in such an environment there’s a lot of room for learning, teaching and growing together!
Go ahead and check our Kotlin- & Golang-related Tech Talks below.
FinTech Group is dedicated to shaping the future of financial services at Wolt. 🚀 Our Fintech teams play a critical role in enabling smooth and automated money flows for our customers, merchants, and courier partners as well as delivering financial products to them. To meet local requirements and provide the best financial solutions, our Fintech engineering teams are at the forefront of building integrations and automating financial processes for local country teams, supporting expansion in our existing markets and into new ones. Our focus has been also on building Consumer Fintech, introducing brand-new products and bringing innovations that elevate the financial experience for all our users.
We currently have multiple roles in our Fintech Teams, and depending on your experience, we will make sure to find the right team for you during the interview process. If you are always open to learning new things, find motivation in working with skilled and nice colleagues, and don't shy away from highly challenging engineering topics, you'll fit right in! 💡👩💻
📍This role can be based in one of our tech hubs in Helsinki, Stockholm, or our newest additions, Timisoara & Bucharest in Romania. Read more about our hybrid and remote setup here. If you live outside of these countries, don't worry! We provide relocation support to help you make your way to Finland or Sweden.
Our humble expectations
We'd love to see experience with either Golang or Kotlin. We appreciate previous experience in handling the whole development cycle all the way to production. However, what truly sets you apart is your ability to tackle big challenges together, envision scalability and availability, and dare to question conventional decisions. You’ll be successful in our teams if you quickly grasp new concepts and thrive in an environment of continuous learning.🌟
We put a lot of focus on the ability to collaborate well with others. We work closely with our teammates and having a good connection with team members is essential. We understand that everyone has their own unique way of communicating with others. We expect you to be yourself, express your opinions, and work together with the rest of the team.
In addition to technical expertise, we cherish those who take ownership beyond the obvious, have an insatiable hunger for knowledge, make collaborative decisions, and enthusiastically collaborate with diverse teams Woltwide. We value the unique perspectives and skills you bring to our adventure, and we're excited to see what you can achieve with us! 👥 🚀
Fluency in English language is mandatory.
Next steps
During the initial screening call our Talent Acquisition Partner will discuss with you your expectations and possible domain preferences as well as share more about different teams. After the recruiter screening call, the interviewing steps are conducted and a specific team being proposed at the end of the process - that’s the moment when you’ll latest get to meet your possible Team Lead. Throughout the process, we will do our best to match your experience, skills and aspirations with the most suitable team at Wolt!
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
We simplify wealth creation. Founded in 2014 in Vienna, Austria by Eric Demuth, Paul Klanschek and Christian Trummer, we’re here to help people trust themselves enough to build their financial freedom — for now and the future. Our user-friendly, trade-everything platform empowers both first-time investors and seasoned experts to invest in the cryptocurrencies, crypto indices, stocks*, precious metals and commodities* they want — with any sized budget, 24/7. Our global team works across different cultures and time zones, bringing our products to more than 6 million customers, making us one of Europe’s safest and most secure platforms that powers modern investing.
Headquartered in Austria but operating across Europe, our products are built by fast-moving, talented, “roll-up-your-sleeves-and-make-it-happen” kind of people. It’s these diverse perspectives and innovative minds operating as ONE TEAM that keep Bitpanda at the cutting edge of our industry. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Let’s go!
Your mission
As a Go Developer at Bitpanda Enterprise, you’ll join the Core Platform team; the backbone that keeps everything fast, reliable, and scalable. You’ll take real ownership of internal APIs and core services, shaping how systems perform at scale. Expect to work on high-impact problems, push performance boundaries, and build systems that don’t fall over the moment things get interesting. With over 35+ million end users, there's always something exciting to tackle as we go global with Enterprise.
What you’ll do:
Design and build high-performance, scalable, message-driven services in Golang; built to handle real-world load.
Write clean, production-grade code with serious test coverage.
Collaborate with sharp engineers to challenge ideas, refine architectures, and ship better solutions faster.
Build secure, resilient systems that hold up under pressure and scale without drama.
Help evolve a modern microservices architecture that enables a seamless experience for developers and users.
Who you are:
A well seasoned senior engineer who has built enterprise grade systems that are in production; bonus points for high traffic B2C/White-label products.
You've been using Golang for at least 2+ years and have a true passion to drive adoption across the industry.
Comfortable working with both relational and NoSQL databases and a strong understanding of APIs (REST, GraphQL, gRPC) and when each makes sense
Hands-on experience with event-driven systems and message brokers like Kafka, RabbitMQ or SQS
Familiar with AWS (EKS, DynamoDB, Secrets Manager) and not intimidated by cloud-native environments
What’s in it for you
Flexibility to work where you thrive – Enjoy the freedom of our Hybrid working model, combining onsite collaboration and remote work, with an additional 25 days per year to work from a city or country of your choice.
Reward for your impact – Receive a competitive total compensation package aligned with Bitpanda’s pay-for-impact policy, including participation in our stock option plan.
Support for your mental wellbeing – Access confidential coaching, counselling, and mental health resources whenever you need them through OpenUP.
Time to recharge – Take extra time off to rest, reset, and recharge, with 3 additional days off in 2026 to prioritise your wellbeing.
Continuous learning and growth – Grow your skills and stay ahead in your career with unlimited access to Udemy’s library of online courses at your own pace.
Exclusive perks and rewards – Enjoy discounts, rewards, and perks from partners worldwide across lifestyle, wellness, tech, and travel.
Support during life milestones – Take advantage of our additional 8 weeks of gender-neutral new parent leave to welcome and bond with your new addition to the family.
Fuel and focus on-site – Pandas in Vienna, Bucharest, Barcelona, and Berlin can enjoy free onsite dining, with freshly prepared lunches and snacks to keep you fueled and focused all day long.
Recognition for your contributions – Celebrate milestones and achievements with recognition and rewards for your Tenure at Bitpanda.
Show your Bitpanda pride – Access exclusive Bitpanda-branded merchandise and gear to represent.
Connect and celebrate with your team – Join unforgettable company events, from our Winter Party in Vienna to gatherings worldwide, fostering fun, connection, and celebration
.…and even more location-specific benefits designed to make life at Bitpanda even more rewarding wherever you are.
Above all, you will have the opportunity to learn and grow as part of Bitpanda’s incredible journey towards being Europe’s future #1 investment platform.
Bitpanda is committed to fostering a fair and equal environment based on trust and mutual respect. We believe that a diverse and inclusive workplace is paramount to our success and we are committed to building a team that represents a wide variety of backgrounds, perspectives, and skills.
* These benefits may be adjusted at Bitpanda’s discretion and do not apply to our internships and exceptions to our Hybrid Working policy apply to teams with shift schedules or for folks whose roles require them to be in-office (think: Workplaces team or IT).
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
What You Will Be Doing
Design, build, and maintain robust data pipelines for real-time and batch processing
Develop and optimize data architectures that support data ingestion, transformation, enrichment, and storage, ensuring scalability and efficiency, using AWS technologies
Set up and maintain AWS SageMaker environments for model development and deployment
Create and manage test datasets with proper versioning techniques using tools
Implement monitoring, logging, and alerting for data pipelines to ensure reliability, quality, and accuracy of data outputs
Collaborate with Research and ML Engineers to streamline the ML workflow
Ensure ML pipelines and model deployments meet security and compliance standards aligned with OPSWAT’s critical infrastructure cybersecurity context
What We Need From You
3-5 years of experience in data engineering, platform engineering, or MLOps roles
Strong proficiency in Python and AWS cloud services
Experience with containerization (Docker) and orchestration tools
Understanding of ML model deployment and monitoring best practices
Experience with AWS SageMaker or similar ML platforms
Familiarity with data preparation for machine learning workflows
Nice to Have
Experience with Rust programming language
Knowledge of Kafka, Kinesis, or other streaming platforms
Experience with additional data orchestration tools and frameworks
Advanced capabilities in data visualization tools like PowerBI, Tableau, or similar
Knowledge of infrastructure-as-code tools like Terraform or CloudFormation
Experience with Feature Stores and ML metadata tracking systems
Familiarity with ML experiment tracking tools (MLflow, Weights & Biases)
A passion for driving data-driven decisions and fostering a collaborative data culture
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The company has been building solutions for mobile apps, effortless payment, business travel, and advertising since 1992. The customer is developing a mobility platform that allows operators to manage their vehicles and drivers efficiently, regulators to be informed and establish guidelines, service providers to deliver sustainable solutions, and riders to have an effortless transit experience.
Project Team
The project is a taxi ordering service and it contains the following components:
Ride server (all data processing)
Payment server (PCI DSS-compliant), which performs a transaction with the passenger's digital wallet and payment gateways
Mobile application (hail taxi, geocoding, map, payments)
Taxi terminal (3rd party)
The project integrates with 3rd party services, including PayPal, MasterPass, Stripe, and Twilio.
The team itself consists of 1 Team Lead, 1 UI Developers, 6 Back-End Developers, 9 Mobile Developers, 5 QA, 2 BA and 2 Designer.
What You’ll Do
Design, build, and operate reliable, scalable distributed systems
Improve system availability, performance, and resilience
Automate infrastructure, deployments, and operational processes
Diagnose and resolve production issues
Lead upgrades and migrations with minimal or zero downtime
Participate in on-call rotations and incident response
Collaborate closely with development teams to improve operability
Drive best practices around monitoring, alerting, and capacity planning
Reduce operational toil through automation
Contribute to incident management, post-mortems, disaster recovery strategies, and continuous reliability improvements
What You Bring
7+ years of experience, specializing in Kubernetes and AWS
Strong programming skills in Java, with willingness to learn Ruby
Solid understanding of concurrency, runtime behavior, and performance optimization
Hands-on experience with Docker and containerized workloads
Experience designing infrastructure for high availability and disaster recovery
Experience with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, Pulumi, or similar
Experience with RabbitMQ or similar messaging systems (Kafka, SQS, Pulsar, etc.
Strong understanding of relational databases (MySQL/PostgreSQL), including query optimization, replication, and failover strategies
Familiarity with NoSQL and in-memory databases (Redis, DynamoDB, MongoDB)
Experience with distributed systems, microservices, capacity planning, and fault tolerance
Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, ELK/OpenSearch, OpenTelemetry)
Strong understanding of Linux systems and networking fundamentals (TCP/IP, DNS, HTTP/HTTPS, TLS, load balancing)
Experience with SRE practices, including SLOs/SLIs/SLAs, load testing, resilience testing, and incident management
Strong communication skills and ability to collaborate across engineering teams
Calm and effective during incidents with an ownership mindset
Nice to Have
Experience operating production systems written in Ruby, Java, or other major platforms
Framework experience such as Ruby on Rails, Spring Boot, or similar
Experience operating high-traffic SaaS platforms
Cost optimization in cloud environments
Chaos engineering practices
Experience mentoring junior engineers
English level
Upper-Intermediate
Legal & Hiring Information
Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The company has been building solutions for mobile apps, effortless payment, business travel, and advertising since 1992. The customer is developing a mobility platform that allows operators to manage their vehicles and drivers efficiently, regulators to be informed and establish guidelines, service providers to deliver sustainable solutions, and riders to have an effortless transit experience.
Project Team
The project is a taxi ordering service and it contains the following components:
Ride server (all data processing)
Payment server (PCI DSS-compliant), which performs a transaction with the passenger's digital wallet and payment gateways
Mobile application (hail taxi, geocoding, map, payments)
Taxi terminal (3rd party)
The project integrates with 3rd party services, including PayPal, MasterPass, Stripe, and Twilio.
The team itself consists of 1 Team Lead, 1 UI Developers, 6 Back-End Developers, 9 Mobile Developers, 5 QA, 2 BA and 2 Designer.
What You’ll Do
Design, build, and operate reliable, scalable distributed systems
Improve system availability, performance, and resilience
Automate infrastructure, deployments, and operational processes
Diagnose and resolve production issues
Lead upgrades and migrations with minimal or zero downtime
Participate in on-call rotations and incident response
Collaborate closely with development teams to improve operability
Drive best practices around monitoring, alerting, and capacity planning
Reduce operational toil through automation
Contribute to incident management, post-mortems, disaster recovery strategies, and continuous reliability improvements
What You Bring
7+ years of experience, specializing in Kubernetes and AWS
Strong programming skills in Java, with willingness to learn Ruby
Solid understanding of concurrency, runtime behavior, and performance optimization
Hands-on experience with Docker and containerized workloads
Experience designing infrastructure for high availability and disaster recovery
Experience with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, Pulumi, or similar
Experience with RabbitMQ or similar messaging systems (Kafka, SQS, Pulsar, etc.
Strong understanding of relational databases (MySQL/PostgreSQL), including query optimization, replication, and failover strategies
Familiarity with NoSQL and in-memory databases (Redis, DynamoDB, MongoDB)
Experience with distributed systems, microservices, capacity planning, and fault tolerance
Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, ELK/OpenSearch, OpenTelemetry)
Strong understanding of Linux systems and networking fundamentals (TCP/IP, DNS, HTTP/HTTPS, TLS, load balancing)
Experience with SRE practices, including SLOs/SLIs/SLAs, load testing, resilience testing, and incident management
Strong communication skills and ability to collaborate across engineering teams
Calm and effective during incidents with an ownership mindset
Nice to Have
Experience operating production systems written in Ruby, Java, or other major platforms
Framework experience such as Ruby on Rails, Spring Boot, or similar
Experience operating high-traffic SaaS platforms
Cost optimization in cloud environments
Chaos engineering practices
Experience mentoring junior engineers
English level
Upper-Intermediate
Legal & Hiring Information
Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The company has been building solutions for mobile apps, effortless payment, business travel, and advertising since 1992. The customer is developing a mobility platform that allows operators to manage their vehicles and drivers efficiently, regulators to be informed and establish guidelines, service providers to deliver sustainable solutions, and riders to have an effortless transit experience.
Project Team
The project is a taxi ordering service and it contains the following components:
Ride server (all data processing)
Payment server (PCI DSS-compliant), which performs a transaction with the passenger's digital wallet and payment gateways
Mobile application (hail taxi, geocoding, map, payments)
Taxi terminal (3rd party)
The project integrates with 3rd party services, including PayPal, MasterPass, Stripe, and Twilio.
The team itself consists of 1 Team Lead, 1 UI Developers, 6 Back-End Developers, 9 Mobile Developers, 5 QA, 2 BA and 2 Designer.
What You’ll Do
Design, build, and operate reliable, scalable distributed systems
Improve system availability, performance, and resilience
Automate infrastructure, deployments, and operational processes
Diagnose and resolve production issues
Lead upgrades and migrations with minimal or zero downtime
Participate in on-call rotations and incident response
Collaborate closely with development teams to improve operability
Drive best practices around monitoring, alerting, and capacity planning
Reduce operational toil through automation
Contribute to incident management, post-mortems, disaster recovery strategies, and continuous reliability improvements
What You Bring
7+ years of experience, specializing in Kubernetes and AWS
Strong programming skills in Java, with willingness to learn Ruby
Solid understanding of concurrency, runtime behavior, and performance optimization
Hands-on experience with Docker and containerized workloads
Experience designing infrastructure for high availability and disaster recovery
Experience with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, Pulumi, or similar
Experience with RabbitMQ or similar messaging systems (Kafka, SQS, Pulsar, etc.
Strong understanding of relational databases (MySQL/PostgreSQL), including query optimization, replication, and failover strategies
Familiarity with NoSQL and in-memory databases (Redis, DynamoDB, MongoDB)
Experience with distributed systems, microservices, capacity planning, and fault tolerance
Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, ELK/OpenSearch, OpenTelemetry)
Strong understanding of Linux systems and networking fundamentals (TCP/IP, DNS, HTTP/HTTPS, TLS, load balancing)
Experience with SRE practices, including SLOs/SLIs/SLAs, load testing, resilience testing, and incident management
Strong communication skills and ability to collaborate across engineering teams
Calm and effective during incidents with an ownership mindset
Nice to Have
Experience operating production systems written in Ruby, Java, or other major platforms
Framework experience such as Ruby on Rails, Spring Boot, or similar
Experience operating high-traffic SaaS platforms
Cost optimization in cloud environments
Chaos engineering practices
Experience mentoring junior engineers
English level
Upper-Intermediate
Legal & Hiring Information
Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
Elastic’s Support team is unlike any other on Earth: while we are spread across more than 12 time zones and 28 countries, we operate as a unit.
We deliver support that is customer-centric, grounded in deep technical expertise, and outcome-focused. Our approach combines genuine care for our customers with direct communication, high standards, and a commitment to thorough problem solving.
This team thrives on curiosity, accountability, and continuous improvement. We value engineers who ask thoughtful questions, challenge assumptions, and are comfortable being challenged in return. Progress matters to us. We focus on moving forward, learning from experience, and raising the bar with every interaction.
We work in a fast-paced, evolving environment and approach both, successes and setbacks, as a team. We are excited to welcome a Support Engineer who is motivated by meaningful impact, collaboration, and delivering excellent customer experiences.
What You Will Be Doing:
Providing an expert level of service to our EMEA customers.
Ensuring technical customer issues are serviced within our contractual SLA, and managed to resolution.
Document and share your knowledge with the rest of the organization and our customers applying Knowledge Centered-Services (KCS) methodology.
Have a mindset of continuous improvement, in terms of efficiency of support processes and customer satisfaction.
Work across multi-cultural and geographically distributed teams.
What You Bring Along:
3+ years of proven experience in Technical Support in a Software business.
A technical background in fields like; Information Technology, Network Engineering, Software Engineering etc.
A "Customer First" mindset
You are a team player; ability to work in a fast paced environment with a positive and adaptable approach
Knowledge of databases (SQL / No SQL) or search software technologies
Experience with SaaS and/or Distributed systems
Experience with Linux/Unix
Experience with APIs
Familiarity with Knowledge Centered-Services (KCS)
Highly collaborative, contributing to the success of a team through actions such as participating in initiatives/projects.
Professional working proficiency in English (level C1+)
Effective verbal and written communication skills.
Bonus Points:
Experience with administering and/or troubleshooting Elastic products in a production environment.
Experience with Networking and/or Load Balancers.
Experience with Kubernetes.
Experience with Message Brokering (e.g. Kafka).
Professional working proficiency in German or French is a plus.
Curiosity is key! You have already researched our products and possibly downloaded our stack to test it out.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.
Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
Tide is available for UK, Indian, German and French SMEs
Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
Over $300 million raised in funding
Over 2,500 Tideans globally - we’re diversity champions!
We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE:
As an Engineering Manager at Tide, you will be responsible for building and running the products your team owns, covering everything our members need to run their business, from banking and payments through to administration and operational tooling.
This role offers an exceptional opportunity to make a real difference by taking ownership of engineering practices in a rapidly expanding company! We trust and empower our Engineering Managers to make real architectural decisions that affect their domain and shape the future of Tide’s Platform.
We operate in domain-aligned, full-stack teams that own products end to end. Engineers self-organise, collaborate on technical challenges, and define shared standards through Communities of Practice.
Leading & Directly managing a cross functional team of 8-12 engineers
Partnering with a Product Manager to form the Product Engineering Duo
Deeply caring about what’s being built as much as the how
Being responsible of the delivery of the team - quality, stability, timelines, dependencies
Being responsible of the tech excellence and architecture within the scope of the team
Driving the continuous improvement of the team performance as measured by DORA
Securing the continuous growth and wellbeing of the engineers on their team
Being hands-on, carefully dividing your time between design, coding and coaching other team members. You will be the person people turn to seeking advice and solutions to difficult problems.
WHAT WE ARE LOOKING FOR:
Extensive experience (10+ years) building server-side applications and detailed knowledge of of Python, Java, C#, or another similar language
Sound knowledge of a backend framework (e.g. Spring/Spring Boot)
Experience with running microservices and implementing and consuming RESTful APIs
Experience engineering scalable and reliable solutions in a cloud-native environment
A mindset of delivering secure, well-tested and well-documented software
Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
Experience integrating with various third party providers and partners
Sound knowledge and experience working with relational databases
Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly
Ability to communicate technical concepts to a non-technical audience
Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production
A technical hands on leader who is in the details of what the team is working on day to day
Experience leading teams
Experience directly managing people
Our Tech Stack
Python, Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users)
Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform
DataDog for monitoring, observability and automated SLOs
GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week
Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN:
Our location-specific employee benefits are designed to cater to the unique needs of Tideans:
25 days paid annual leave
3 paid days off for volunteering or L&D activities
Extended maternity and paternity leave covered by the company
Personal L&D budget in the amount of 500 EUR per year
Additional health & dental insurance
Mental wellbeing platform
Fully covered Multisports card
Food vouchers
Snacks, light food, drinks in the office
WFH equipment allowance
Flexible working from home
Sabbatical Leave
Share options
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model thatsupports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
Disclaimer
It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that:
Tide does not charge any fees at any stage of the recruitment process.
All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
Communication from Tide will only come from an official @tide.co email address.
Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
Tide is available for UK, Indian, German and French SMEs
Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
Over $300 million raised in funding
Over 2,500 Tideans globally - we’re diversity champions!
We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE:
As an Engineering Manager at Tide, you will be responsible for building and running the products your team owns, covering everything our members need to run their business, from banking and payments through to administration and operational tooling.
This role offers an exceptional opportunity to make a real difference by taking ownership of engineering practices in a rapidly expanding company! We trust and empower our Engineering Managers to make real architectural decisions that affect their domain and shape the future of Tide’s Platform.
We operate in domain-aligned, full-stack teams that own products end to end. Engineers self-organise, collaborate on technical challenges, and define shared standards through Communities of Practice.
Leading & Directly managing a cross functional team
Partnering with a Product Manager to form the Product Engineering Duo
Deeply caring about what’s being built as much as the how
Being responsible of the delivery of the team - quality, stability, timelines, dependencies
Being responsible of the tech excellence and architecture within the scope of the team
Driving the continuous improvement of the team performance as measured by DORA
Securing the continuous growth and wellbeing of the engineers on their team
Being hands-on, carefully dividing your time between design, coding and coaching other team members. You will be the person people turn to seeking advice and solutions to difficult problems.
WHAT WE ARE LOOKING FOR:
Extensive experience (10+ years) building server-side applications and detailed knowledge of Java
Sound knowledge of a backend framework (e.g. Spring/Spring Boot)
Experience with running microservices and implementing and consuming RESTful APIs
Experience engineering scalable and reliable solutions in a cloud-native environment
A mindset of delivering secure, well-tested and well-documented software
Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
Experience integrating with various third party providers and partners
Sound knowledge and experience working with relational databases
Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly
Ability to communicate technical concepts to a non-technical audience
Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production
A technical hands on leader who is in the details of what the team is working on day to day
Experience leading teams
Experience directly managing people
Our Tech Stack
Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users)
Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform
DataDog for monitoring, observability and automated SLOs
GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week
Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN
The gross monthly salary for this position ranges from 7400€ to 11560€, depending on your skills, and experience.
Private Health Insurance
25 days paid annual leave
3 paid days off for volunteering or L&D activities
Parental Leave days
Family-Friendly Leave
Personal L&D budget in the amount of 500 EUR per year
Mental wellbeing platform Plumm
WFH equipment allowance
Sabbatical Leave
Share options
Team Events
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model thatsupports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
Disclaimer
It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that:
Tide does not charge any fees at any stage of the recruitment process.
All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
Communication from Tide will only come from an official @tide.co email address.
Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
Tide is available for UK, Indian, German and French SMEs
Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
Over $300 million raised in funding
Over 2,500 Tideans globally - we’re diversity champions!
We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE:
As an Engineering Manager at Tide, you will be responsible for building and running the products your team owns, covering everything our members need to run their business, from banking and payments through to administration and operational tooling.
This role offers an exceptional opportunity to make a real difference by taking ownership of engineering practices in a rapidly expanding company! We trust and empower our Engineering Managers to make real architectural decisions that affect their domain and shape the future of Tide’s Platform.
We operate in domain-aligned, full-stack teams that own products end to end. Engineers self-organise, collaborate on technical challenges, and define shared standards through Communities of Practice.
Leading & Directly managing a cross functional team of 8-12 engineers
Partnering with a Product Manager to form the Product Engineering Duo
Deeply caring about what’s being built as much as the how
Being responsible of the delivery of the team - quality, stability, timelines, dependencies
Being responsible of the tech excellence and architecture within the scope of the team
Driving the continuous improvement of the team performance as measured by DORA
Securing the continuous growth and wellbeing of the engineers on their team
Being hands-on, carefully dividing your time between design, coding and coaching other team members. You will be the person people turn to seeking advice and solutions to difficult problems.
WHAT WE ARE LOOKING FOR:
Extensive experience (10+ years) building server-side applications and detailed knowledge of of Python, Java, C#, or another similar language
Sound knowledge of a backend framework (e.g. Spring/Spring Boot)
Experience with running microservices and implementing and consuming RESTful APIs
Experience engineering scalable and reliable solutions in a cloud-native environment
A mindset of delivering secure, well-tested and well-documented software
Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
Experience integrating with various third party providers and partners
Sound knowledge and experience working with relational databases
Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly
Ability to communicate technical concepts to a non-technical audience
Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production
A technical hands on leader who is in the details of what the team is working on day to day
Experience leading teams
Experience directly managing people
Our Tech Stack
Python, Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users)
Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform
DataDog for monitoring, observability and automated SLOs
GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week
Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN:
Our location-specific employee benefits are designed to cater to the unique needs of Tideans:
Remote first
25 days of paid annual leave
3 paid days off for volunteering or L&D activities
Private Health Insurance
Mental Health Support Platform
FitPass
Family and friendly leave (according to statutory)
Personal L&D budget
Share Options
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model thatsupports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
Disclaimer
It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that:
Tide does not charge any fees at any stage of the recruitment process.
All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
Communication from Tide will only come from an official @tide.co email address.
Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.
As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.
We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
Reliable, high-quality data is the fuel that propels AI-powered data engineering.
AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.
dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started.. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
dbt Platform, our rapidly growing SaaS offering, has ambitious goals to enhance its capabilities in the year ahead. We are looking for a Senior Software Engineer ll to join our Romania-based engineering team, who are focused on building essential platform features like telemetry ingestion, authorization, and infrastructure-as-code integrations.
The team needs strong engineers to establish our platform evolution strategy. As dbt Platform grows, this person will help design and implement new capabilities from the ground up, ensuring we provide robust integration points for our customers. This co-located team will work closely with the broader engineering organization to deliver scalable solutions.
In this role, you can expect to:
Evolve dbt’s architecture to keep up with our fast growing customer base and scaling needs
Be a key contributor to the development of dbt Platform and its telemetry ingestion platform
Be an advocate for software engineering best practices
Develop a robust software framework for seamlessly developing application platform features into dbt Platform.
Collaborate closely with product teams, and other stakeholders.
Mentor and support junior team members, fostering a collaborative and innovative environment.
Qualifications:
Have a minimum of 8 years experience as a software engineer
Experience with at least one of the following technologies: Python, Rust, and/or Go
Experience with shipping vertical features both individually and as part of a larger team.
Previous experience with SaaS products (SOA preferred)
Minimum requirement of Bachelors degree in related field (computer science, computer engineering, etc.)
Have an excellent level of English, both written and spoken
You are a good fit if you:
Have strong fundamentals in a variety of software development paradigms (e.g. object oriented, functional)
Understand trade-offs and are able to articulate the pros and cons of each option
Have used or want to use AI driven development tactics
Have worked on distributed systems at scale
Are comfortable managing ambiguity and driving clarity and innovation
Understand how to make tradeoffs to ship useful features today without sacrificing long-term quality
Are highly motivated and able to build alignment across stakeholders
Can operate independently and unblock yourself when needed
You'll have an edge if:
Have extensive knowledge in AI development tactics with successful implementation examples
Are a Rust subject matter expert
Have previous experience with Kafka at scale
Have previous experience with automated testing
Have experience working on a distributed team
Compensation & Benefits
This is an FTE role only (CIM)
Salary: Competitive, based on experience
Equity Stake
Benefits: medical insurance, life insurance, vision& dental coverage, office refresh stipend e.g.
Equity or comparable benefits may be offered depending on the legal limitations
What to expect in the hiring process (all video interviews unless accommodations are needed):
Interview with Talent Acquisition Partner
Interview with Hiring Manager
Team Interviews
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. RSUs or comparable benefits may be offered depending on the legal or country limitations.
We simplify wealth creation. Founded in 2014 in Vienna, Austria by Eric Demuth, Paul Klanschek and Christian Trummer, we’re here to help people trust themselves enough to build their financial freedom — for now and the future. Our user-friendly, trade-everything platform empowers both first-time investors and seasoned experts to invest in the cryptocurrencies, crypto indices, stocks*, precious metals and commodities* they want — with any sized budget, 24/7. Our global team works across different cultures and time zones, bringing our products to more than 6 million customers, making us one of Europe’s safest and most secure platforms that powers modern investing.
Headquartered in Austria but operating across Europe, our products are built by fast-moving, talented, “roll-up-your-sleeves-and-make-it-happen” kind of people. It’s these diverse perspectives and innovative minds operating as ONE TEAM that keep Bitpanda at the cutting edge of our industry. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Let’s go!
Your mission
At Bitpanda, we're building a powerful system that handles prices and risk management for various types of investments like stocks, crypto, ETFs, metals, and fiat currencies. You’ll help add new assets to our platform, work with new exchanges, and create tools like price charts and systems for crypto products with leverage. This is a key role where you'll help us build the technology that makes trading and investing in different assets fast, reliable, and easy to use for everyone.
What you’ll do
Drive core technical decisions that shape our architecture, engineering practices, and long-term team vision
Build high-performance, scalable backend systems using Python that power Bitpanda’s core trading infrastructure
Design and maintain clean, testable, and maintainable code across a robust microservice ecosystem
Lead the evolution of our event-driven architecture, helping scale systems for future growth
Tackle complex, cross-domain challenges in pricing, hedging, and asset management across crypto, stocks, metals, and more
Work in a high-impact environment where your code directly supports critical business functions across the company
Who you are
Strong hands on Python development experience in product-driven environments, building real-world, scalable systems that solve big problems
A deep understanding of RESTful APIs and websockets, with the ability to design fast, reliable, and clean APIs using FastAPI
Experience working with relational and NoSQL databases, always keeping performance and scalability top of mind
Strong leadership skills to drive technical initiatives, influence the team’s direction, and guide key architectural decisions
Hands-on experience with event-driven architectures, and message brokers like Kafka or ZeroMQ — you know how to keep data flowing seamlessly
Bonus points if you’ve worked with AWS, have an interest in crypto, blockchain, or stock markets
What’s in it for you
Flexibility to work where you thrive – Enjoy the freedom of our Hybrid working model, combining onsite collaboration and remote work, with an additional 25 days per year to work from a city or country of your choice.
Reward for your impact – Receive a competitive total compensation package aligned with Bitpanda’s pay-for-impact policy, including participation in our stock option plan.
Support for your mental wellbeing – Access confidential coaching, counselling, and mental health resources whenever you need them through OpenUP.
Time to recharge – Take extra time off to rest, reset, and recharge, with 3 additional days off in 2026 to prioritise your wellbeing.
Continuous learning and growth – Grow your skills and stay ahead in your career with unlimited access to Udemy’s library of online courses at your own pace.
Exclusive perks and rewards – Enjoy discounts, rewards, and perks from partners worldwide across lifestyle, wellness, tech, and travel.
Support during life milestones – Take advantage of our additional 8 weeks of gender-neutral new parent leave to welcome and bond with your new addition to the family.
Fuel and focus on-site – Pandas in Vienna, Bucharest, Barcelona, and Berlin can enjoy free onsite dining, with freshly prepared lunches and snacks to keep you fueled and focused all day long.
Recognition for your contributions – Celebrate milestones and achievements with recognition and rewards for your Tenure at Bitpanda.
Show your Bitpanda pride – Access exclusive Bitpanda-branded merchandise and gear to represent.
Connect and celebrate with your team – Join unforgettable company events, from our Winter Party in Vienna to gatherings worldwide, fostering fun, connection, and celebration
.…and even more location-specific benefits designed to make life at Bitpanda even more rewarding wherever you are.
Above all, you will have the opportunity to learn and grow as part of Bitpanda’s incredible journey towards being Europe’s future #1 investment platform.
Bitpanda is committed to fostering a fair and equal environment based on trust and mutual respect. We believe that a diverse and inclusive workplace is paramount to our success and we are committed to building a team that represents a wide variety of backgrounds, perspectives, and skills.
* These benefits may be adjusted at Bitpanda’s discretion and do not apply to our internships and exceptions to our Hybrid Working policy apply to teams with shift schedules or for folks whose roles require them to be in-office (think: Workplaces team or IT).
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Our Partner
Our partner is a fast-growing software company that builds networks like clouds. It offers communications service providers and cloud providers a radical new way to build networks, detaching network growth from network cost and increasing network profitability.
Our partner’s Network Cloud solution uniquely supports the complete virtualization of network and compute resources, enabling communication service providers and cloud providers to meet increasing service demands much more efficiently than with today’s monolithic routers.
Their software runs over standard white-box hardware and can easily scale network capacity by adding additional white boxes into physical network clusters. This unique disaggregated network model enables the physical infrastructure to operate as a shared resource that supports multiple networks and services. This unique network design also allows faster service innovation at the network edge, supporting multiple service payloads, including latency-sensitive ones, over a single physical network edge.
Role Overview
We are looking for a software engineer to join our AI-Ops team as part of a rapidly evolving Network Automation project. This role focuses on building and operating production-grade services using Python, with exposure to Golang, in a distributed microservices environment leveraging technologies such as Kafka and Pulsar. If you enjoy solving complex operational problems, taking end-to-end ownership, and working close to real network systems, we’d love to hear from you.
Responsibilities
Design, develop, and maintain scalable microservices using Python. Ensure these services are robust, secure, and capable of handling high data traffic volumes.
Continuously monitor and improve the performance of microservices and data pipelines. This includes load testing, identifying bottlenecks, and implementing solutions for scalability.
Work collaboratively with cross-functional teams, including DevOps, System Architects, Data Engineers, and Product Managers, to align development with business goals.
Take end-to-end ownership of services, from design and implementation through testing and deployment.
Design and maintain automated tests (unit, integration, and system-level) to ensure reliability and long-term maintainability.
Contribute to infrastructure and deployment automation, working closely with DevOps practices and tools to ensure services are observable, resilient, and production-ready.
Maintain high-quality documentation for all code, adhere to coding standards, and promote best practices within the team.
Stay updated with the latest in Python, microservices, AI, and messaging technologies. Propose and implement innovative solutions to enhance our AI-Ops capabilities.
Requirements
Must Have:
3-5 years of experience in software development.
Solid Python programming skills with a deep understanding of frameworks such as Flask, FastAPI, or Django.
Experience with SQL and NoSQL databases, understanding of data modeling, and efficient query optimization.
Strong experience in developing and managing microservices architecture, with a focus on scalability, fault tolerance, and distributed systems.
Experience taking ownership of services in production, including testing, deployment, monitoring, and troubleshooting.
Bachelor’s degree in computer science, engineering, or related field (or equivalent experience).
Working knowledge of computer networking fundamentals, including IP networking, routing, and troubleshooting in distributed systems.
Nice to Have:
Experience with data stream processing pipelines and data analytics.
Strong background in computer networking, including advanced routing and switching concepts (e.g., CCNP-level knowledge or equivalent experience).
Knowledge of Docker and Kubernetes for containerization and orchestration.
Familiarity with CI/CD pipelines and tools like GitHub actions or K8s Helm charts.
Experience with Golang programming language or willingness to learn and contribute to Go-based services.
Reasons to Work with Us
Competitive financial conditions.
Opportunity to work on internationally recognized projects.
Flexible schedule and a hybrid work model, prioritizing remote work as much as possible to support work-life balance.
An exciting career path within a friendly, dynamic, and growing organization.
Professional development opportunities in a multicultural environment.
Private medical coverage with Medlife or Regina Maria.
Meal vouchers.
Gift vouchers for special occasions such as birthdays, weddings, or childbirth.
Wellbeing programs, including sick days, 7Card subscriptions, and relaxation facilities in the office.
Team-building events and other social experiences.
Budget allocated for certifications relevant to your project.
Workshops, internal training sessions, and knowledge-sharing opportunities.
Convenient city-center office location.
Shared parking spaces.
As a global digital transformation company, Orion values creating a productive, diverse work environment. We are committed to maintaining a positive work environment where our people value traits that make each one of us different from one another. We all bring a diverse set of perspectives, work and life experiences, and our differences make us more valuable both internally and for our clients.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:
What information we collect during our application and recruitment process and why we collect it;
How we handle that information; and
How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Our Partner
Our partner (listed on NASDAQ) is the leading expert in 5G ready cloud-native, network intelligence solutions for telecom operators transitioning to 5G. Their Network Intelligence consists of Network Visibility, Service Assurance, and Network Insights. The Network Intelligence suite offers intelligent, container-based, on-demand solutions to deliver network analysis from the RAN to the Core for 5G assurance. Utilizing automated and dynamic solutions with smart minimal data collection and on-demand troubleshooting and cutting-edge techniques based on machine learning, these solutions work in harmony to provide operators an understanding of the entire customer experience and allow them to troubleshoot network performance from a high to granular level while reducing storage costs and cloud resource utilization.
Role Overview
We are looking for a proactive and experienced Fullstack Java Developer to help migrate existing Node.js backend services to a robust Java-based architecture. This role is ideal for someone with a strong backend focus on Java, while also being comfortable working across the stack with modern frontend technologies like React or Angular.You will be responsible for designing, implementing, and maintaining scalable solutions, collaborating with cross-functional teams, and ensuring seamless integration across systems.You will be part of the Infra team within the Infra & Orch Group, which focuses on developing tools and processes for installing, configuring, and managing our Partner’s products. The Infra team is responsible for both in-house applications that support product infrastructure (such as user management, authentication integrations, and system configurations) as well as third-party open-source solutions, including databases (MongoDB, Vertica), monitoring tools (Prometheus, EFK), and other technologies like Kafka and MinIO.
Responsibilities
Migrate backend components from Node.js to Java, using frameworks such as Spring and Hibernate.
Design and implement scalable, maintainable backend services and APIs.
Design data models and queries with Spring Data, optimizing for performance and scalability.
Work with NoSQL databases (e.g., MongoDB, Couchbase).
Services with Apache Kafka for message streaming.
Maintain and improve existing frontend components using HTML, CSS, JavaScript, and modern frameworks like React or Angular.
Collaborate with the product owner, architect, frontend developers, DevOps, and other team members on end-to-end product delivery.
Take end-to-end responsibility for backend features – from requirements gathering to production support.
Identify bottlenecks, bugs, and devise elegant solutions to mitigate and address them.
Implement best practices for code quality, testing, and performance optimization.
Write unit and integration tests for critical components.
Participate in code reviews and technical design discussions.
Deploy and manage microservices in containerized environments using Docker and Kubernetes.
Requirements
Must Have:
Bachelor’s degree or Master’s degree in Computer Science or Computer Engineering.
5+ years overall Java developer experience.
Experience working with frameworks such as Spring, Hibernate, REST API.
Experience with NoSQL databases like MongoDB or Couchbase.
Strong understanding of JavaScript (ES6+) and asynchronous programming.
Experience implementing OAuth2, JWT and SSO mechanism.
Experience with authentication, authorization protocols and API security practices.
Familiarity with Git and version control workflows.
Basic understanding of Docker, Kubernetes, Helm and microservices.
Good understanding of software development principles and lifecycles.
Knowledge of CI/CD pipelines (e.g., Git, Jenkins).
Experience in NodeJs.
Fluent English.
Strong analytical and problem-solving skills.
Highly independent and self-motivated.
Good communication skills and the ability to work closely with frontend teams.
Proactive communicator, comfortable raising concerns and proposing improvements.
Nice to Have:
Experience with TypeScript in Node.js applications.
Comfortable with frontend technologies like React, Angular (React preferred).
Familiar working with Vertica DB or other relational databases.
Familiarity with 3rd party tools (Grafana, Prometheus, ELK).
Understanding of message queues (e.g., Kafka, RabbitMQ).
Familiarity with Swagger or similar tools for API documentation.
Familiarity with Elasticsearch for search capabilities and log analytics.
Reasons to Work with Us
Competitive financial conditions.
Opportunity to work on internationally recognized projects.
Flexible schedule and a hybrid work model, prioritizing remote work as much as possible to support work-life balance.
An exciting career path within a friendly, dynamic, and growing organization.
Professional development opportunities in a multicultural environment.
Private medical coverage with Medlife or Regina Maria.
Meal vouchers.
Gift vouchers for special occasions such as birthdays, weddings, or childbirth.
Wellbeing programs, including sick days, 7Card subscriptions, and relaxation facilities in the office.
Team-building events and other social experiences.
Budget allocated for certifications relevant to your project.
Workshops, internal training sessions, and knowledge-sharing opportunities.
Convenient city-center office location.
Shared parking spaces.
As a global digital transformation company, Orion values creating a productive, diverse work environment. We are committed to maintaining a positive work environment where our people value traits that make each one of us different from one another. We all bring a diverse set of perspectives, work and life experiences, and our differences make us more valuable both internally and for our clients.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:
What information we collect during our application and recruitment process and why we collect it;
How we handle that information; and
How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a SeniorMachine 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.
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:
Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
4+ years of industry experience building and deploying ML systems
Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
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.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a SeniorMachine 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.
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:
Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
4+ years of industry experience building and deploying ML systems
Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
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.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a SeniorMachine 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.
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:
Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
4+ years of industry experience building and deploying ML systems
Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
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.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a SeniorMachine 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.
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:
Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
4+ years of industry experience building and deploying ML systems
Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
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
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a SeniorMachine 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.
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:
Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
4+ years of industry experience building and deploying ML systems
Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
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.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
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.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
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.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
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.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
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.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
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.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a 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.
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:
Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
2+ years of industry experience building and deploying ML systems
Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
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
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a 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.
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:
Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
2+ years of industry experience building and deploying ML systems
Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
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
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a 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.
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:
Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
2+ years of industry experience building and deploying ML systems
Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
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
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
We are seeking for a talented Full Stack Developer to join our growing development team.
The ideal candidate is experienced in both frontend and backend technologies and is passionate about building high-quality, scalable applications.
You’ll collaborate with designers, product managers, and fellow engineers to create innovative software solutions that drive value for our users.
Responsibilities:
Design, develop, and maintain robust and scalable applications.
Work across the whole development stack: frontend, backend, and database layers.
Write clean, maintainable code and participate in code reviews.
Collaborate with UI/UX designers and product owners to translate designs and requirements into functional applications.
Optimize applications for maximum speed and scalability.
Troubleshoot, debug, and upgrade existing systems.
Contribute to architectural decisions and the continuous improvement of development processes.
Stay current with emerging technologies and frameworks.
Skills:
Strong understanding of Object-Oriented Programming (OOPs) and the C# language
Proficiency in building user interfaces not limited only to web technologies, but also to WPF / WinForms
Creating APIs for the front-end to communicate with the backend
Designing, querying, and manipulating databases, including data access layers
A holistic view of the entire application to diagnose and solve issues across different layers
Core skills:
Back-end: C#, WebAPI, SOAP, Windows Services
Middleware: IIS, Apache
Front-end: HTML, CSS, JavaScript, SPA frameworks (Angular, React, Knockout), ASP.NET MVC and WPF
Database: SQL Server, Postgres, MongoDB
Tools: Visual Studio/ VS Code, Gitlab
Nice to have:
Having worked with ERP systems before (MS Dynamics AX will be considered a strong asset)
Having worked with Low-Code platforms (e.g Mendix, ServiceNow, Outsystems)
Experience with Xamarin and MAUI
TDD and Nunit
Event Broker Services (e.g Kafka)
Having worked on various integrations between systems
Knowledge of maritime industry
Willingness to learn and adapt to new technologies, including low-code development platforms and cloud-native services, with a proactive attitude toward continuous improvement.
Strong problem-solving skills, with excellent communication and teamwork abilities to thrive in a cross-functional, fast-paced and innovative environment.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
Are you excited about building analytics foundations that people can truly rely on, turning complex business questions into trusted datasets, metrics, and reporting experiences? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering with product, commercial, and engineering teams to measure what matters.
You’ll be joining a mature and growing community of 40+ data engineers and analytics engineers who are shaping one of the most advanced data ecosystems in the industry.
What you'll be doing:
Design and build curated analytical datasets, metric implementation, and semantic models that enable consistent self-service analytics across the company
Work hands-on with data warehouse modelling to turn evolving product and business needs into scalable, reusable data structures
Partner closely with product, data scientists and business stakeholders to clarify requirements and translate them into reliable data models and reporting-ready outputs
Build and own production dashboards (Tableau) on top of curated datasets and metric definitions, ensuring correctness, performance, and a consistent “single source of truth”
Contribute to data quality, observability, lineage, and documentation practices to increase trust and reduce firefighting
Promote reuse over reinvention, identify ad-hoc logic in reporting views or custom SQL and refactor it into curated, high-quality models that multiple teams can rely on.
Raise the engineering bar through reviews, testing, automation, and pragmatic architectural improvements
Apply engineering rigor to analytics - treat semantics as code utilizing version control, testing, automation, and CI/CD practices to manage the lifecycle of our business logic.
Drive self-service adoption - create the foundations that allow analysts and business users to explore data safely and independently, without needing to reinvent the wheel.
Work embedded within Data Engineering squads, collaborating daily with both data engineers and analysts on shared foundations and end-to-end delivery
We're looking for:
Strong SQL skills and proven experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred, BigQuery, Redshift and similar also valuable)
Solid understanding of data warehouse modeling and best practices (dimensional modeling, fact/dimension design, grains, slowly changing dimensions, semantic consistency)
Experience working with reporting and BI tools (Tableau preferred), including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust
A production mindset: you care about reliability, maintainability, documentation, and operational ownership, not just creating a dataset once
Strong ownership and collaboration skills, able to drive clarity in ambiguous problem spaces and partner effectively with both technical and non-technical teams
Excellent communication skills with a pragmatic, problem-solving approach
Bonus points for:
Experience with orchestration and workflow tooling (Airflow or similar)
Experience with data cataloging, lineage, and governance tooling (e.g., DataHub)
Background in product-led, experimentation-driven, or high-growth environments where definitions evolve quickly
Experience supporting downstream operational consumers (e.g., CRM/audience platforms) or ML/feature engineering use cases
Familiarity with streaming/event-heavy ecosystems (Kafka or similar)
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
Are you excited about building analytics foundations that people can truly rely on, turning complex business questions into trusted datasets, metrics, and reporting experiences? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering with product, commercial, and engineering teams to measure what matters.
You’ll be joining a mature and growing community of 40+ data engineers and analytics engineers who are shaping one of the most advanced data ecosystems in the industry.
What you'll be doing:
Design and build curated analytical datasets, metric implementation, and semantic models that enable consistent self-service analytics across the company
Work hands-on with data warehouse modelling to turn evolving product and business needs into scalable, reusable data structures
Partner closely with product, data scientists and business stakeholders to clarify requirements and translate them into reliable data models and reporting-ready outputs
Build and own production dashboards (Tableau) on top of curated datasets and metric definitions, ensuring correctness, performance, and a consistent “single source of truth”
Contribute to data quality, observability, lineage, and documentation practices to increase trust and reduce firefighting
Promote reuse over reinvention, identify ad-hoc logic in reporting views or custom SQL and refactor it into curated, high-quality models that multiple teams can rely on.
Raise the engineering bar through reviews, testing, automation, and pragmatic architectural improvements
Apply engineering rigor to analytics - treat semantics as code utilizing version control, testing, automation, and CI/CD practices to manage the lifecycle of our business logic.
Drive self-service adoption - create the foundations that allow analysts and business users to explore data safely and independently, without needing to reinvent the wheel.
Work embedded within Data Engineering squads, collaborating daily with both data engineers and analysts on shared foundations and end-to-end delivery
We're looking for:
Strong SQL skills and proven experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred, BigQuery, Redshift and similar also valuable)
Solid understanding of data warehouse modeling and best practices (dimensional modeling, fact/dimension design, grains, slowly changing dimensions, semantic consistency)
Experience working with reporting and BI tools (Tableau preferred), including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust
A production mindset: you care about reliability, maintainability, documentation, and operational ownership, not just creating a dataset once
Strong ownership and collaboration skills, able to drive clarity in ambiguous problem spaces and partner effectively with both technical and non-technical teams
Excellent communication skills with a pragmatic, problem-solving approach
Bonus points for:
Experience with orchestration and workflow tooling (Airflow or similar)
Experience with data cataloging, lineage, and governance tooling (e.g., DataHub)
Background in product-led, experimentation-driven, or high-growth environments where definitions evolve quickly
Experience supporting downstream operational consumers (e.g., CRM/audience platforms) or ML/feature engineering use cases
Familiarity with streaming/event-heavy ecosystems (Kafka or similar)
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
We’re looking for a BackendEngineer to join our Retail Tribe, a team responsible for in Retail part of the business. More specifically, we need an addition in our Platform foundation team. We are providing all retail client apps a platform for customer data storage to comply with regulatory requirements, various financial reporting service, self-exclusion etc.
You will work on services that are business-critical, highly integrated, and require strong engineering judgment around reliability, data correctness, and operational excellence.
What you’ll be doing:
Owning the full development lifecycle – from planning and implementation to release and maintenance.
Building and improving backend systems that rely on versatile tech stack like Dynamo DB, AWS Aurora, Kafka , Docker and Kubernetes.
Leveraging best-in-class tools like Notion, Jira Cloud, GitHub, Google suite, Lattice, Swarmia and Slack to maximize productivity and collaboration
Contributing to a high-growth environment
Ensuring reliability, security, and compliance while keeping customer friction to a minimum
What we’re looking for:
5+ years of backend development experience. Strong knowledge of Go is not required but is preferred. We also have legacy system written in Node which will be decommissioned by end of the year.
Strong backend engineering experience building production services.
A self-starter mentality – we need autonomous engineers who proactively unblock themselves, collaborate across teams, and take initiative
Strong attention to detail and a commitment to delivering exceptional products
Deep understanding of best practices, design patterns, and core principles in software development
Strong problem-solving skills – ability to navigate complex domains and optimize high-traffic, high-availability systems
Take ownership for technical quality, development process and developer experience
A team-first mindset, thriving in collaborative environments where success is shared
Nice to have
Experience in regulated domains (payments, AML, identity, self-exclusion, finance, or compliance-heavy systems).
Experience with legacy migrations and decommissioning large systems.
Experience with event-driven systems, queues, and distributed workflows.
How we work
We optimize for ownership, clarity, and sustainable delivery.
We value pragmatic engineering decisions and continuously improving system reliability.
We expect Senior software engineers to drive medium-to-large scoped work independently, contribute to technical direction, and raise the quality bar through code and collaboration.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
Role Overview
We are seeking a Data Engineer to design, build, and maintain the pipelines and data platforms that power company's next-generation maritime applications. You will work closely with BI Developers, Data Architects, and Product teams to ensure data is collected, transformed, and delivered in a secure, scalable, and efficient manner using Microsoft and Azure technologies.
Key Responsibilities
• Design, develop, and maintain data pipelines and ETL/ELT processes using Azure Data Factory, Synapse Pipelines, or Databricks.
• Build and optimize data lake and data warehouse architectures on the Microsoft Azure platform.
• Ensure data quality, reliability, and consistency across all systems through validation, monitoring, and governance practices.
• Collaborate with BI Developers and Analysts to deliver high-performance data models for reporting and analytics.
• Work with application and integration teams to ingest data from ERP, IoT, APIs, and external sources into the Azure Data Platform.
• Implement data security and compliance controls, including identity, access management, and data masking, aligned with maritime regulations.
• Optimize pipeline performance and manage cost-efficiency across Azure resources.
• Contribute to the automation of deployments using CI/CD, version control, and Infrastructure-as-Code (IaC).
• Stay updated on Microsoft Azure data ecosystem advancements and propose improvements to company's data architecture.
Skills and Qualifications
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
• 3–5 years of professional experience as a Data Engineer or in a related role.
• Hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
• Strong proficiency in SQL and experience with Azure SQL Database or SQL Server.
• Experience with Databricks (PySpark, SparkSQL) or equivalent data processing frameworks.
• Familiarity with data modeling, dimensional design, and data warehouse best practices.
• Understanding of Azure DevOps, Git, and CI/CD for data pipeline deployment.
• Knowledge of Python, T-SQL, or PowerShell for scripting and automation.
• Familiarity with data governance, lineage, and cataloging tools (e.g., Azure Purview).
• Experience integrating multiple data sources, including APIs, IoT, ERP, or legacy systems.
• Nice-to-have: exposure to streaming data technologies (e.g., Azure Event Hubs, Kafka) and maritime IoT datasets.
• Strong analytical, problem-solving, and collaboration skills.
The world’s most critical--and at risk--business applications have been neglected for far too long. Onapsis eliminates this blind spot by providing cybersecurity solutions dedicated to business-critical applications. Whether running on premises, in the cloud, or in a hybrid environment, Onapsis helps nearly 30% of the Forbes Global 100 understand the threats and risks across their SAP and Oracle landscapes.
We are seeking a Senior Data Engineer to join our mission-driven team. This role is ideal for experienced data engineers with a proven track record in architecting scalable data pipelines, leveraging cloud technologies, and contributing to high-impact cybersecurity solutions. You will be responsible for building high-performance ETL frameworks, optimizing data platforms, and contributing directly to the enhancement of our customers' threat detection, response, and remediation capabilities.
What you will be doing, your legacy:
You will be working directly with company Principal Engineers evaluating, scoping, proposing, and building features to fulfill business solution requirements to protect our customers. You will play a direct role in laying the technical foundation for a new product offering. Additionally, you will be working with Engineering and DevOps to deliver high-quality products and services while also working closely with security and IT professionals to ensure safe and secure best practices are followed.
Responsibilities:
Architect and Design Scalable Data Solutions: Design/develop/maintain Data lakehouse solutions (Iceberg/Delta Lake /Hudi) applying industry best practices and structuring / optimizing the data according to data access patterns.
Data Pipeline Development: Implement ETL/ELT pipelines using cloud technologies (Spark / pySpark / Glue, Kinesis Streams / Iceberg) to load the data into a Lakehouse for both efficient ML processing and UI reporting.
Implement data models and data processing frameworks (Spark, Kafka, Snowflake) to ingest, transform, and load large datasets into Data Lakehouse techs (Apache Iceberg, Apache Delta Lake or Apache Hudi), ensuring high availability and reliability of data.
Advanced Data Integration: Develop solutions that integrate multiple data sources into Snowflake or similar data warehouses to enable real-time analytics and reporting across dashboards.
AI/ML Integration: Collaborate with cross-functional teams to co-develop AI-driven features identifying patterns and anomalies in client data using AI/ML technologies (python).
Compliance and Security: Ensure compliance with industry standards and secure best practices (SOX, SOC 1/2), by implementing data governance frameworks, monitoring data pipelines, and optimizing cloud database architectures to protect sensitive information.
Stakeholder Collaboration: Work closely with stakeholders, including analysts, engineers, and product managers, to understand their data needs, propose solutions, and drive data-driven decision-making by delivering actionable insights.
Data Infrastructure Monitoring: Continuously monitor, troubleshoot, and enhance data pipelines, leveraging CI/CD tools (Docker, Jenkins, GitHub Actions) and orchestrating workflows using Apache Airflow to maintain operational efficiency.
Leadership and Mentorship: Provide hands-on mentorship and technical guidance to junior engineers, including code reviews and architecture discussions.
Documentation and Governance: Establish comprehensive documentation for data architecture, governance, and processes to ensure scalability, compliance, and security.
Qualifications:
5+ years of proven experience as a Data Engineer or in a similar role with a deep understanding of data architecture and cloud-based ETL/ELT frameworks.
Strong experience with AWS (preferably) or Azure , particularly with Glue, EMR, S3, Lambda. Databricks, Snowflake, Synapse experience is a bonus.
Proficiency in big data technologies such as Apache Spark, Kafka, Hadoop, and Databricks for distributed data processing.
Proficiency with Python libraries for data processing and ML (e.g., Pandas, NumPy, Polars, Scikit-learn, PyTorch, TensorFlow).
Hands-on experience in building real-time data processing and AI/ML-driven analytics solutions (SageMaker, Bedrock, NLP, Power BI).
Ability to architect and manage data lakehouse solutions (Iceberg / Delta Lake / Hudi) or classic warehouse solutions (Redshift, Snowflake).
Familiarity with compliance and audit requirements (SOX, SOC 1/2, GDPR) and implementing data governance and security frameworks.
Strong problem-solving skills with a focus on data integrity, scalability, and performance optimization.
Experience with CI/CD tools (Jenkins, GitHub Actions, Docker) and data orchestration platforms (Apache Airflow).
Preferred Qualifications:
Experience with advanced data architecture principles (medallion architecture, materialized views, task scheduling).
Experience using BI tools (e.g., Power BI, Tableau) for real-time analytics and operational reporting
What we offer:
A role in shaping the future of protecting the most critical applications that run the world's business and a career that grows as the company grows.
A unique culture of high achievement and teamwork.
Supportive and humble colleagues are the space's top problem solvers and innovators.
Financial security through competitive compensation and incentives.
Location: Onapsis is established a new development center in Bucharest. This is a hybrid role (1-2 days per week from the office), so candidates must be commutable to Bucharest every week.
About Onapsis:
Onapsis protects the business applications that run the global economy. The Onapsis Platform delivers vulnerability management, change assurance, and continuous compliance for business applications from leading vendors such as SAP, Oracle, and others. The Onapsis Platform is powered by the Onapsis Research Labs, the team responsible for the discovery and mitigation of more than 1,000 zero-day vulnerabilities in business applications.
Onapsis is headquartered in Boston, MA, with egional offices in Heidelberg, Germany; Buenos Aires, Argentina; Texas, USA, and now in Bucharest, Romania; and proudly serves hundreds of the world’s leading brands, including close to 30% of the Forbes Global 100, six of the top 10 automotive companies, five of the top 10 chemical companies, four of the top 10 technology companies, and three of the top 10 oil and gas companies.
