Responsibilities

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. 

In this role, you will also be responsible to:

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

Qualifications / Experience / Technical Skills / Soft Skills

• 7+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform and Kubernetes.

• Solid understanding of network security and cloud security best practices.

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Experience optimizing CI/CD workflows and automating deployments.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes •  ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

(REQ ID: 2736)

What You’ll Do

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

Who You Are

• 3+ years of hands-on experience building and managing kafka deployments, experience with Confluent kafka is a plus.
• Solid experience in AWS-based infrastructure (EC2, VPC, IAM, RDS, KMS, etc.).
• Expertise in Docker, Kubernetes, and Infrastructure as Code (Terraform).
• (Nice to have) Experience with other messaging solutions
• Proven experience deploying, maintaining, and scaling critical cloud infrastructure components in production environments.

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

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

The Challenge 🧩 

Some of the interesting things we are currently doing include finding new ways to handle complexity and improve resiliency. We leverage various AWS technologies (compute, storage, etc.) to meet our objectives. At Wallapop, as a Backend Engineer, you'll have ownership of team microservices, fully embracing the DevOps philosophy. Our tech stack includes the following:

• Kotlin & Java
• Spring Boot & Ktor
• Kafka & RabbitMQ
• MySql, DynamoDB, Redis & RedShift
• Docker
• Solr & ElasticSearch
• AWS: S3, ECS, RDS, Lambdas, CloudWatch, MSK, SES, CloudFront & more

What You Will Do 👇

• Write and maintain robust, scalable code in Java or Kotlin, depending on your team's specific stack.
• Develop new features using Domain-Driven Design (applying both tactical and strategic design principles).
• Modernize and refactor legacy components to ensure long-term system health.
• Champion software quality by implementing comprehensive testing strategies, contributing to a collaborative and reliable code review culture.

What We’re Looking For 🔎

• Demonstrated problem-solving skills and the ability to think critically about complex technical challenges.
• A quality-driven mindset with a pragmatic focus on detail and delivering value.
• Adaptability and a genuine eagerness to learn, share knowledge, and grow within a dynamic team.

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

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

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

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

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

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

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

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

What are we looking for?

Education:

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

Required Experience (demonstrable and advanced):

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

Desired Experience:

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

Knowledge (Essential and Valuable):

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

Skills:

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

Languages:

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

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

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

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

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

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

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

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

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

Where you will have impact

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

About our team

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

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

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

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

What's in it for you?

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

Who you are

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

We welcome

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

Technologies you will work with

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

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

What you will do

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

Where you will have impact

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

About our team

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

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

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

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

What's in it for you?

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

Who you are

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

We welcome

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

Technologies you will work with

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

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

What you will do

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

Where you will have impact

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

About our team

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

What's in it for you?

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

Who you are

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

We welcome

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

Technologies you will work with

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

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

What you will do

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

Where you will have impact

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

About our team

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

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

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

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

What's in it for you?

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

Who you are

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

We welcome

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

Technologies you will work with

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

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

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

The Challenge 🧩 

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

What You Will Do 👇

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

What We’re Looking For 🔎

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

What Would Be A Plus 🚀

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

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

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

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

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

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

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

Why this role matters:

We’re seeking a Java Software Engineer to join our Cloud Engineering team and help drive innovation across the Vonage Video Platform. This role will focus on enhancing our PaaS backend systems, improving cloud resource control and provisioning, and contributing to scalable architecture design and distributed computing solutions. 

As part of the team, you’ll contribute to both new feature development and backend system improvements, with a strong focus on quality, fault tolerance, and performance. You’ll gain hands-on experience with real-time communications, and use data to help improve how we build and scale our services.

This is a great opportunity to grow your skills by working on large-scale, highly available systems alongside a team of experienced engineers who are passionate about cloud infrastructure, media technologies, and real-time communication.

Your key responsibilities:

• Hands-on software development and system design.
• Implement new features for the cloud based API Gateway, Media Control and Signalling systems for the Vonage Video Platform.
• Contribute to software architectures for a highly distributed network application, resource optimization strategies, and real-time stream/message processing.
• Design and develop approaches to measure, evaluate and improve service quality.
• Collaborate on projects involving signalling fabric and coordinate with other teams.
• Embed AI-assisted engineering into daily practice to accelerate delivery and enhance outcomes
• Proactively adopts emerging AI capabilities to improve workflows and share best practices with the team
• Embed AI assisted engineering into daily practice to accelerate delivery and enhance outcomes
• Proactively adopt emerging AI capabilities to improve workflows and shares best practices with the team

What you'll bring:

• Strong Java 17 coding skills, and willingness to learn more languages.
• JavaScript, and experience with HTML5 APIs all across different browser engine APIs in general.
• Understanding regarding memory management, garbage collection, concurrency.
• Excellent debugging and problem solving skills.
• Good understanding of algorithms, data structures.
• Track record of delivering high quality code in a fast-paced environment.

Experience we consider a plus:

• Proficiency in the Netty framework for high-performance network programming.
• Strong experience with Spring Boot for building scalable and robust APIs.
• Hands-on expertise with message brokers such as Apache Kafka, ZeroMQ, RabbitMQ, or similar queueing systems.
• Working knowledge of Redis, Kubernetes, Helm, Docker, AWS, and ElastiCache for cloud-native and distributed systems.
• Experience with CI/CD pipelines using Jenkins or equivalent tools.
• Familiarity with Go programming language.
• Understanding of communication technologies, protocols, and standards such as VoIP, SIP, H.323, XMPP, etc.

#LI-JM1

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform . You will work closely with engineers across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

(REQ ID: )

Responsibilities

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

 In this role, you will also be responsible to:

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

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

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

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

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

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

• Evaluate and propose improvements to existing systems.

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

• Help maintain code quality, organization and automatization.

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

Requirements

Qualifications / Experience / Technical Skills

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

• Excellent understanding of distributed systems patterns and algorithms.

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

• Excellent understanding of network protocols and stacks.

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

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

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

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

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

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

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

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

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

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

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

Soft Skills / Personal Characteristics

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

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

(REQ ID: 2343)

Responsibilities

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

 In this role, you will also be responsible to:

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

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

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

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

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

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

• Evaluate and propose improvements to existing systems.

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

• Help maintain code quality, organization and automatization.

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

Requirements

Qualifications / Experience / Technical Skills

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

• Excellent understanding of distributed systems patterns and algorithms.

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

• Excellent understanding of network protocols and stacks.

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

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

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

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

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

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

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

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

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

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

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

Soft Skills / Personal Characteristics

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

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

(REQ ID: 2343)

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

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

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

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

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

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

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

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

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

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

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

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

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

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

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

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

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

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

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

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

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

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

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

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

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

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

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

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

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

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

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

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

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

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

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

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

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

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

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

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

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

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

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

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

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

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

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

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

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Evaluate and propose improvements to existing system.

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

• Help maintain code quality, organization and automatization. 

Requirements

Qualifications / Experience / Technical Skills

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

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

• Good understanding of network protocols and stacks.

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

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

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

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

Can be a plus

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

• Experience in building/deploying data processing pipelines.

Soft Skills / Personal Characteristics

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

Job Req ID: 2314

Responsibilities

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

 In this role, you will also be responsible to:

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

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

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

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

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

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

• Evaluate and propose improvements to existing systems.

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

• Help maintain code quality, organization and automatization.

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

Requirements

Qualifications / Experience / Technical Skills

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

• Excellent understanding of distributed systems patterns and algorithms.

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

• Excellent understanding of network protocols and stacks.

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

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

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

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

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

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

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

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

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

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

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

Soft Skills / Personal Characteristics

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

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

(REQ ID: 2343)

Responsibilities

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

 In this role, you will also be responsible to:

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

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

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

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

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

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

• Evaluate and propose improvements to existing systems.

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

• Help maintain code quality, organization and automatization.

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

Requirements

Qualifications / Experience / Technical Skills

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

• Excellent understanding of distributed systems patterns and algorithms.

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

• Excellent understanding of network protocols and stacks.

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

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

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

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

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

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

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

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

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

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

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

Soft Skills / Personal Characteristics

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

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

(REQ ID: 2343)

Responsibilities

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

 In this role, you will also be responsible to:

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

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

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

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

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

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

• Evaluate and propose improvements to existing systems.

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

• Help maintain code quality, organization and automatization.

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

Requirements

Qualifications / Experience / Technical Skills

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

• Excellent understanding of distributed systems patterns and algorithms.

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

• Excellent understanding of network protocols and stacks.

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

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

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

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

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

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

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

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

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

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

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

Soft Skills / Personal Characteristics

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

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

(REQ ID: 2343)

As a Senior Software Engineer, you will be part of one of our autonomous agile teams. You will help us develop the services that power the Blacklane, work on improving our back-office system, or solve problems around our products which allow business partners to integrate with the Blacklane platform.

Our environment is composed of Ruby, Go, Typescript and Java services, designed using DDD. These services are deployed to our Kubernetes cluster and communicate via domain events using SQS and Kafka. We use diverse data storage technologies such as Postgres, MySQL, Elasticsearch, Redis, and DynamoDB. As for infrastructure and cloud resources, we predominantly use AWS and manage provisioning through Terraform.

YOUR CHALLENGE:

Scopely is looking for a Server Engineer to join our Star Trek Fleet Command team within our Live Games Portfolio division, based remotely in Spain.

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

Star Trek Fleet Command is a standout success in the gaming industry. Launched in 2018, our in-house developed 4X Strategy MMO has continually evolved, earning its place as one of the top-grossing games on the market.

We are seeking a backend Engineer to join our team and build both game server systems and platform microservices that power our live products. In this role, you will contribute to evolving our backend technology stack to support scalable game features, platform services, and a high-quality player experience, with the opportunity to develop your skills in distributed systems, cloud infrastructure, and game backend development while working on live products at scale.

What You Will Do

What We're Looking For

• Understanding of web fundamentals (HTTP, REST APIs, request/response lifecycle, status codes, etc.).
• Familiarity with distributed systems concepts and microservices architectures, including service communication, data consistency, and fault tolerance in high-traffic environments.
• Proficiency in Python and familiarity with frameworks such as FastAPI, Flask, or Tornado, and an understanding of async programming and concurrency.
• Experience working with and maintaining existing backend systems in production environments.
• Experience debugging issues in production environments, identifying and helping resolve performance issues
• Understanding of SQL and/or NoSQL databases (e.g., MySQL, Postgres, DynamoDB).
• Familiarity with Linux environments, Docker containers, and cloud platforms (preferably AWS).
• Understanding of backend security fundamentals and willingness to learn best practices.
• Experience with version control, CI/CD pipelines, and automated testing.
• Ability to collaborate effectively with client engineers and cross-functional teams to deliver end-to-end features.
• Strong problem-solving skills and eagerness to learn and grow as an engineer.

Bonus Points

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

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

Location: Come and join us in Barcelona!

We are looking for a talented and motivated Senior Backend Engineer (m/f/d) for our new Driver Onboarding team.

As part of a highly skilled, cross-functional team comprising Fullstack Engineers, Backend Engineers, a Product Manager, a Product Designer, a Data Analyst, and a technical Engineering Manager, you will help shape the future of mobility with FREENOW and assist our drivers in their daily work.

Our team is the cornerstone of the driver experience, with a core focus on streamlining the driver registration flow and ensuring the integrity of our platform through advanced document validation processes. Our mission is to provide a fast, frictionless, and secure onboarding journey for every new driver. We achieve this by:

• Designing and implementing the entire driver registration and onboarding journey, making it simple, intuitive, and fast.
• Developing and maintaining robust, automated document validation systems to ensure compliance and quick approval for drivers.
• Collaborating closely with Operations and other engineering teams to constantly optimize process automation within the document lifecycle.
• Providing self-service tools that empower drivers to efficiently manage their documentation and account details.
• Integrating key insights into internal systems, fostering collaboration across teams to improve the overall driver experience.

As a critical part of our company, this team's work directly impacts thousands of drivers and, ultimately, the experiences of millions of customers. Your contributions in this role will have a tangible and far-reaching effect on the lives of many.

As an engineer on our team, you will tackle the exciting challenges of building a best-in-class driver onboarding platform. This includes designing and building innovative, high-scale solutions for document validation and workflow automation, directly enhancing the start-to-finish experience for our drivers and ensuring the quality and compliance of our fleet. You'll be involved in every stage of product development, from ideation to implementation, ensuring a seamless and impactful experience.

We also value a mindset that challenges the status quo—constantly exploring new technologies and approaches to improve our products and maintain a state-of-the-art codebase. Beyond technical excellence, your contributions will help foster a collaborative and inspiring team culture, making our workplace an enjoyable and fulfilling environment.

YOUR DAILY ADVENTURES WILL INCLUDE:

• Own the Feature, Own the Code – feel responsible for what you create. It all starts with bringing in your feature ideas, goes over development, testing and ends in deploying your code and monitoring it.
• Design and develop systems based on product requirements or refactorings.
• Maintain and improve the existing systems by finding bottlenecks and performance issues and improving resource usage (DB access, cache, messaging, etc.).
• Collaborate with your team members in an Agile environment, contribute to and live our agile ceremonies.
• You care about teamwork: Be accountable for all topics above, but work together with the team on them.
• Stay on top of the latest technology trends and bring best practices to our daily work.

Our Techstack: Kotlin | Java | AWS | Docker | Git | Kafka | ElasticSearch & more

TO BE SUCCESSFUL IN THIS ROLE:

• Passionate about Kotlin or Java.
• Experience with the quirks of Spring Boot or similar frameworks, automated tests and CI/CD tools.
• Familiarity with monitoring tools (i.e., Grafana, Datadog, Kibana etc.).
• Knowledge of microservices architecture.
• Keen about principles and practices of scalable web applications, such as RESTful API’s, dealing with transactions, and resiliency.
• Familiar with messaging by using Kafka or RabbitMQ.
• High level of creativity; there’s all the freedom to think outside the box.
• Be communicative, proactive, and always collaborative.
• Excellent written and verbal communication skills in English.

Nice to have: 

• Experience working with AWS or similar cloud service providers.
• Familiar with Agile methodologies such as Scrum or Kanban.
• Experience with document automation validation.
• Experience working with Large Language Models (LLMs) and AI-driven products.
• Experience in Python, particularly for data processing or AI integration tasks.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

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

SEE WHAT OUR AWESOME COLLEAGUES SAY ABOUT US:

ABOUT US:

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

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

Location: Come and join us in Barcelona!

We are looking for a talented and motivated Backend Engineer (m/f/d) for our Supply Driver Quality Team.

As part of a highly skilled, cross-functional team comprising Mobile Engineers, Backend Engineers, a Product Manager, a Product Designer, a Data Analyst, and a technical Engineering Manager, you will help shape the future of mobility with FREENOW and assist our drivers in their daily work. 

Our team is dedicated to enhancing the Quality of Service (QoS) for drivers, ensuring they have the tools and insights needed to deliver exceptional service. We achieve this by:

• Measuring and analyzing driver performance, providing actionable metrics to both drivers and internal teams.
• Supporting document processes and document automatic validation processes, collaborating with other teams and Operations to maintain and increase the automation of document and validation processes.
• Enabling self-service capabilities, empowering drivers to manage their accounts efficiently.
• Providing access to support tools, ensuring drivers receive timely assistance.
• Integrating key insights into internal systems, fostering collaboration across teams.

As a critical part of our company, this team's work directly impacts thousands of drivers and, ultimately, the experiences of millions of customers. Your contributions in this role will have a tangible and far-reaching effect on the lives of many.

As an engineer on our team, you will tackle exciting challenges, including designing and building innovative products that enhance urban mobility—creating solutions that are delightful, sustainable, and tailored to the needs of our users. You'll be involved in every stage of product development, from ideation to implementation, ensuring a seamless and impactful experience.

We also value a mindset that challenges the status quo—constantly exploring new technologies and approaches to improve our products and maintain a state-of-the-art codebase. Beyond technical excellence, your contributions will help foster a collaborative and inspiring team culture, making our workplace an enjoyable and fulfilling environment.

YOUR DAILY ADVENTURES WILL INCLUDE:

• Own the Feature, Own the Code – feel responsible for what you create. It all starts with bringing in your feature ideas, goes over development, testing and ends in deploying your code and monitoring it.
• Design and develop systems based on product requirements or refactorings.
• Maintain and improve the existing systems by finding bottlenecks and performance issues and improving resource usage (DB access, cache, messaging, etc.).
• Collaborate with your team members in an Agile environment, contribute to and live our agile ceremonies.
• You care about teamwork: Be accountable for all topics above, but work together with the team on them.
• Stay on top of the latest technology trends and bring best practices to our daily work.

Our Techstack: Kotlin | Java | AWS | Docker | Git | Kafka | ElasticSearch & more

TO BE SUCCESSFUL IN THIS ROLE...

• Passionate about Kotlin or Java.
• Experience with the quirks of Spring Boot or similar frameworks, automated tests and CI/CD tools.
• Familiarity with monitoring tools (i.e., Grafana, Datadog, Kibana etc.).
• Knowledge of microservices architecture.
• Keen about principles and practices of scalable web applications, such as RESTful API’s, dealing with transactions, and resiliency.
• Familiar with messaging by using Kafka or RabbitMQ.
• High level of creativity; there’s all the freedom to think outside the box.
• Be communicative, proactive, and always collaborative.
• Excellent written and verbal communication skills in English.

Nice to have: 

• Experience working with AWS or similar cloud service providers.
• Familiar with Agile methodologies such as Scrum or Kanban.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

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

ABOUT US:

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

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

Location: Come and join us in Barcelona!

We are looking for a talented and motivated Backend Engineer (m/f/d) for our new Driver Onboarding team.

As part of a highly skilled, cross-functional team comprising Fullstack Engineers, Backend Engineers, a Product Manager, a Product Designer, a Data Analyst, and a technical Engineering Manager, you will help shape the future of mobility with FREENOW and assist our drivers in their daily work.

Our team is the cornerstone of the driver experience, with a core focus on streamlining the driver registration flow and ensuring the integrity of our platform through advanced document validation processes. Our mission is to provide a fast, frictionless, and secure onboarding journey for every new driver. We achieve this by:

• Designing and implementing the entire driver registration and onboarding journey, making it simple, intuitive, and fast.
• Developing and maintaining robust, automated document validation systems to ensure compliance and quick approval for drivers.
• Collaborating closely with Operations and other engineering teams to constantly optimize process automation within the document lifecycle.
• Providing self-service tools that empower drivers to efficiently manage their documentation and account details.
• Integrating key insights into internal systems, fostering collaboration across teams to improve the overall driver experience.

As a critical part of our company, this team's work directly impacts thousands of drivers and, ultimately, the experiences of millions of customers. Your contributions in this role will have a tangible and far-reaching effect on the lives of many.

As an engineer on our team, you will tackle the exciting challenges of building a best-in-class driver onboarding platform. This includes designing and building innovative, high-scale solutions for document validation and workflow automation, directly enhancing the start-to-finish experience for our drivers and ensuring the quality and compliance of our fleet. You'll be involved in every stage of product development, from ideation to implementation, ensuring a seamless and impactful experience.

We also value a mindset that challenges the status quo—constantly exploring new technologies and approaches to improve our products and maintain a state-of-the-art codebase. Beyond technical excellence, your contributions will help foster a collaborative and inspiring team culture, making our workplace an enjoyable and fulfilling environment.

YOUR DAILY ADVENTURES WILL INCLUDE:

• Own the Feature, Own the Code – feel responsible for what you create. It all starts with bringing in your feature ideas, goes over development, testing and ends in deploying your code and monitoring it.
• Design and develop systems based on product requirements or refactorings.
• Maintain and improve the existing systems by finding bottlenecks and performance issues and improving resource usage (DB access, cache, messaging, etc.).
• Collaborate with your team members in an Agile environment, contribute to and live our agile ceremonies.
• You care about teamwork: Be accountable for all topics above, but work together with the team on them.
• Stay on top of the latest technology trends and bring best practices to our daily work.

Our Techstack: Kotlin | Java | AWS | Docker | Git | Kafka | ElasticSearch & more

TO BE SUCCESSFUL IN THIS ROLE:

• Passionate about Kotlin or Java.
• Experience with the quirks of Spring Boot or similar frameworks, automated tests and CI/CD tools.
• Familiarity with monitoring tools (i.e., Grafana, Datadog, Kibana etc.).
• Knowledge of microservices architecture.
• Keen about principles and practices of scalable web applications, such as RESTful API’s, dealing with transactions, and resiliency.
• Familiar with messaging by using Kafka or RabbitMQ.
• High level of creativity; there’s all the freedom to think outside the box.
• Be communicative, proactive, and always collaborative.
• Excellent written and verbal communication skills in English.

Nice to have: 

• Experience working with AWS or similar cloud service providers.
• Familiar with Agile methodologies such as Scrum or Kanban.
• Experience with document automation validation.
• Experience working with Large Language Models (LLMs) and AI-driven products.
• Experience in Python, particularly for data processing or AI integration tasks.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

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

ABOUT US:

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

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

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

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

**We offer a comprehensive relocation package to support candidates who are moving to join our team. Our goal is to make your transition as smooth as possible, and we provide assistance throughout the whole process.

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

About Appodeal

Appodeal is a dynamic US-based product company with a truly global presence.

We have offices in Warsaw, Barcelona, and Parkland (FL), along with remote team members located around the world.

Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.

Why Appodeal?

At Appodeal, we’re more than just a company—we’re a team united by a common mission:
Help people discover and grow their talents through products that enable successful mobile app businesses.

We take pride in our cutting-edge product and our internationally distributed team of talented professionals.

Here’s what we value:

• Continuous Learning and Growth – We invest in development and long-term careers
• Making an Impact – We are building a history-defining company in the mobile industry
• Solving Exciting Challenges – Complex, large-scale problems are part of our daily work
• Enjoying the Journey – We believe great results come with a positive environment

About the Role

We are looking for a Senior Rust Engineer to join our Barcelona team and contribute to building high-performance, real-time systems powering our ML-driven AdTech platform (Mobile Growth Platform).

In this role, you will work on core backend infrastructure and ML platform components, focusing on low-latency, high-load services that process large-scale traffic in real time.

You will play a key role in developing and optimizing systems such as real-time applications, feature stores, user identity services, and custom inference layers, ensuring scalability, reliability, and performance.

Responsibilities

• Contribute to the development of real-time applications and ML platform components
• Build and maintain high-load, low-latency backend services
• Work on in-house solutions including:
  • Feature stores
  • User identity services
  • Custom inference layer
  • ML platform infrastructure
• Optimize system performance across on-premise Docker & Kubernetes environments
• Design and implement solutions for traffic scaling and system reliability
• Collaborate with ML, data, and engineering teams to support production ML systems
• Continuously improve system architecture, observability, and efficiency

Tech Stack

• Languages: Rust, Python
• Data & Streaming: Kafka, SQL, Redis, ScyllaDB, Delta Lake, Databricks
• Infrastructure: Docker, Kubernetes (on-premise)
• Tools: GitHub

Requirements

• 5+ years of experience in software engineering
• Strong proficiency in Rust
  or
  proficiency in C/C++/Zig with willingness to transition to Rust
• Experience designing and building high-load, performance-critical systems
• Solid understanding of system design, concurrency, and performance optimization
• Basic knowledge of machine learning workflows and tools

Nice to Have

• System programming experience (C, C++, Zig)
• Experience in ML engineering / MLOps
• Strong Python skills
• Familiarity with AdTech standards (OpenRTB, MRAID, VAST)
• Experience with WASM / WASI
• Background in distributed systems and real-time processing
• Location: Barcelona, Spain (office attendance 4 days per week)

What We’re Looking For

• Autonomous and self-driven engineer with strong ownership mindset
• Passion for engineering excellence, performance, and scalability
• Interest in ML/AI systems and infrastructure
• Ability to work independently and make informed decisions
• Strong collaboration and communication skills

Why Join Us:

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• A collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and a comprehensive benefits package.
• Professional development opportunities and career growth prospects within a fast-growing company.

We appreciate teamwork, critical thinking, independent decision-making, and standing up for oneʼs viewpoint.
We are looking for talented engineers who are willing to grow, improve and share our values!

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

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

The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.

In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.

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

YOUR DAILY ADVENTURES WILL INCLUDE:

• Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
• Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
• Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
• Enhancing our MLOps platform capabilities to support AI state of the art
• Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
• Contributing to the evolution of our MLOps stack and practices.

Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more

TO BE SUCCESSFUL IN THIS ROLE:

• M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
• 3+ years of professional experience deploying, scaling and monitoring ML models in production environment 
• Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
• Proven experience with large-scale data processing systems and modern data warehousing 
• Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
• Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
• Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
• Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
• Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

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

ABOUT US:

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

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

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

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

The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.

In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.

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

YOUR DAILY ADVENTURES WILL INCLUDE:

• Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
• Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
• Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
• Enhancing our MLOps platform capabilities to support AI state of the art
• Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
• Contributing to the evolution of our MLOps stack and practices.

Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more

TO BE SUCCESSFUL IN THIS ROLE:

• M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
• 3+ years of professional experience deploying, scaling and monitoring ML models in production environment 
• Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
• Proven experience with large-scale data processing systems and modern data warehousing 
• Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
• Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
• Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
• Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
• Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

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

ABOUT US:

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

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

WHO WE ARE 🌍

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

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

WHO WE'RE LOOKING FOR 🌟

The AI era isn't coming, it's already here. At Manychat, we're building it into the foundation of everything  and we need an Applied AI Engineer to help make that real.

Your main focus will be AI agents and agentic workflows, LLM-powered system orchestration, and automation pipelines that integrate into the business processes that actually matter. You'll work across internal and customer-facing systems, writing production-grade code and partnering with product and business teams to turn complex challenges into reliable, scalable solutions.

We'd love to work with someone who brings more than strong engineering fundamentals. Someone with the product mindset to understand business context, the communication skills to work fluidly across teams, and the pragmatism to choose solutions that are effective and built to last. Ownership matters here: we're looking for someone who drives work from discovery to rollout, not someone who hands things off at the first checkpoint.

If success for you means identifying real AI use cases, building things that work reliably at scale, and being a trusted technical partner to the teams around you, let’s talk! 

WHAT YOU'LL DO 🚀

• Design, build, and maintain AI-driven services and agent-based solutions for workflow and business process automation.
• Develop orchestration logic across LLMs, internal services, APIs, databases, and third-party platforms.
• Build backend components for AI products and automation pipelines using TypeScript and Node.js.
• Integrate AI-powered workflows with CRM, ERP, ticketing, knowledge management, communication, and other business systems.
• Implement and improve RAG, tool/function calling, memory/state handling, evaluation, and monitoring for AI use cases.
• Partner closely with Product Managers, domain experts, and business stakeholders to identify high-impact use cases and translate them into technical solutions.
• Contribute across the full product lifecycle: discovery, prototyping, production delivery, and iteration.
• Ensure production quality through testing, observability, reliability, security, performance, and cost awareness.
• Document architecture, technical decisions, and tradeoffs, and communicate them clearly to both technical and non-technical stakeholders.

TO SHINE IN THIS ROLE 💥

You'll need:

• 3 – 5 years of experience in software engineering, backend engineering, or applied AI engineering.
• Strong hands-on experience with TypeScript and Node.js in production environments.
• Experience building backend services, APIs, and integrations.
• Practical experience with LLM-based applications, AI automation, or agentic workflows.
• Solid understanding of RAG, prompt engineering, tool/function calling, and context management.
• Experience working with SQL/NoSQL databases and external APIs.
• Understanding of reliable backend patterns such as async processing, retries, queues, idempotency, and error handling.
• Ability to understand business workflows and translate ambiguous requirements into clear technical solutions.
• Experience collaborating with product teams, analysts, operations, and other stakeholders.
• Strong communication skills and the ability to explain complex solutions to both technical and non-technical audiences.

IT WOULD BE GREAT IF YOU HAVE 🤩

• Experience with LangChain, LangGraph, OpenAI SDK, LlamaIndex, or similar frameworks.
• Experience with workflow and orchestration tools such as n8n, Temporal, or event-driven systems.
• Familiarity with PostgreSQL, Redis, Kafka, BullMQ, or similar technologies.
• Experience with vector databases such as pgvector, Pinecone, Qdrant, or Weaviate.
• Experience with Python in AI/ML-related use cases.
• Experience with Docker, cloud platforms (AWS, GCP, Azure), and CI/CD pipelines.
• Exposure to observability and evaluation tooling for AI systems.
• Understanding of security, privacy, and governance considerations for AI-driven business systems.

Tech Stack

• Core: TypeScript, Node.js
• Backend: NestJS, Express, or similar frameworks
• AI/LLM: OpenAI API, Anthropic API, LangChain, LangGraph
• Data/RAG: PostgreSQL, pgvector, Redis, vector databases
• Integrations: REST APIs, webhooks, third-party SaaS platforms

Infrastructure: Docker, cloud services, CI/CD, logging and monitoring

WHAT WE OFFER 🤗

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

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

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

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

With my application, I accept the Manychat Privacy Policy.

📍Barcelona, Spain | 💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 
Hybrid model: 3 days a week in the office

About our Engineering Teams:

We have over 400 engineers across Monzo who design and build our in-house banking platform. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company.

These range from the products our customers use everyday to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities.

We contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do!

Your day-to-day   

This role is all about collaborating with your team to make a difference to your customers. As a backend engineer you’ll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! 

Together you’ll build and support a particular part of Monzo. Our squads belong to our wider collectives (a word we use to describe self-governing business units of ~100 people). They are; Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion.

They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! 

Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles.

You should apply if:

• you have strong experience working on the backend of a technology product
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• you’re comfortable working in a team that deals with ambiguity
• you’re interested in distributed systems and writing resilient software
• you have some experience with strongly-typed languages (Go, Java, C, Scala etc.).
• you think you’d enjoy the kind of work we’re doing

We're on the look out for L30 Engineers at the moment, you can read more in our Engineering Progression Framework you will be interviewed across the whole framework, so if you're not sure what level you're aiming for chat to your recruiter! 

Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you!

What you’ll be working on: 

We hire very technically agnostic so whilst we use the below technologies we do not expect prior knowledge, you will be fully supported in our organised onboarding to get up to speed in the below: 

• Go to write our application code (there’s an excellent interactive Go tutorial here)
• Cassandra for most persistent data storage
• Kafka for our asynchronous message queue
• Kubernetes and Docker to schedule and run our services 
• Envoy Proxy for RPC
• AWS for most of our production infrastructure and GCP for most of our data infrastructure
• React for our public web apps and internal tools
• We also have physical datacenters with actual cables to connect to various third parties

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Take home task or pair coding exercise 
3. Final interview: including a system design and a behavioural interview 

Our average process takes around 4 weeks but we will always work around your availability. 

One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

What’s in it for you:

💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 

📍Barcelona, Spain

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

📚Learning budget of €1,200 a year for books, training courses and conferences

#LI-JS1

Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team. We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience.

About the role

What are we looking for: Senior Software Engineer (Backend Platform)

Location: Spain

With outstanding software development talent proven by great work results and experience. Somebody that cares about code quality and not just get things done, but get things done right.

• You'll work as part of an agile, cross functional team with other high skilled software engineers, together with the product designers.
• You will create production grade code and will implement solutions designed to handle high levels of traffic.
• Mentor other team members through code reviews, sessions of architecture design and pair programming.
• You will be mentored by other team members on the areas you have less expertise.

During your first month at Fever (Onboarding period):

 You’ll join a structured onboarding program designed to help you ramp up smoothly. During this period, you will:

About you

Must have skills:

• Strong knowledge on good practices, testing and design patterns.

Requirements:

• You are proficient in business English
• You know how to deliver code from development to production
• Experience with RESTful APIs (implementation and consumption), OpenAPI and api-first development
• Knowledge of relational databases and SQL with big amount of data

We use these technologies, so it would be a plus if you have experience in:

• Python experience desirable but we are open to other backend programming languages. 
• Django/Flask
• PostgreSQL
• Redis
• Event streaming platforms such as Kafka or RabbitMQ
• Experience working on agile methodology
• AWS, Docker, Kubernetes
• Angular

Benefits & Perks

• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Home office friendly anywhere in Spain
• Relocation package for international candidates
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English Lessons
• Gympass Membership
• Possibility to receive in advance part of your salary by Payflow.
• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance

About the process

Fever aims to provide the best-fastest possible experience to our candidates. This is how it would look like:

1. Talent Interview - 1h: An intro to Fever, our culture and a conversation about your background and experience.
2. Technical Assignment: Your opportunity to demonstrate all you know! We would like to receive it back within 5 days. 
3. Team Interview - 2h: A discussion about your proposed solution to the technical challenge and your chance to make sure you know everything you need about Fever.
4. Engineering Manager Interview - 1h: A deep dive into your technical expertise and your opportunity to ask anything you need to know about your day to day at Fever. 

About the role

As a Data Engineer, you’ll be part of the team responsible for designing and delivering the data products that power Fever’s partner ecosystem — from real-time APIs and dashboards to data exports or automated reports. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, Superset, DataHub, etc.) while developing our own technology to deliver high-quality, reliable, and scalable data products across multiple business domains.

You’ll work at the crossroads of engineering, product, and business, translating complex requirements into elegant and maintainable solutions that create real impact for our clients and internal teams.

What You’ll Do

• Deeply understand Fever’s backend systems and data models, identifying the logic and transformations that connect business processes to data representations.
• Collaborate fluidly with Product Managers, Project Managers, and business stakeholders to translate ideas and reporting needs into clear technical requirements and data structures.
• Develop and optimize ETL/ELT workflows using Python, DBT,  Airflow, and Snowflake, ensuring scalability, maintainability, and reliability.
• Design, build, and maintain partner-facing data products, including APIs (real-time and batch), dashboards, webhooks, and file-based exports.
• Ensure that all data delivered to partners is accurate, consistent, and aligned with the underlying business context.
• Contribute to the architecture, testing, and observability of our data ecosystem, promoting best practices and automation wherever possible.
• Take ownership from idea to delivery — you’ll scope, design, implement, and ship solutions in close collaboration with cross-functional teams.
• Support the evolution of Fever’s data mesh, helping domain teams design data products that follow common engineering and governance standards.

What You Bring

• Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams
• A Bachelor’s or Master’s degree in Computer Engineering, Data Engineering, or a related field.
• Strong proficiency in Python, SQL, Airflow, and Snowflake (or similar technologies).
• A deep understanding of data modeling and how complex backend systems generate and expose data across products and domains.
• Proven experience building data products for external consumption, such as APIs, dashboards, and partner-facing data feeds.
• Excellent communication and collaboration skills — you can work seamlessly with business stakeholders and product managers, translating abstract needs into clear data solutions.
• You communicate clearly, think in terms of impact, and make technical decisions grounded in business context.
• You thrive in fast-paced environments, adapt quickly to change, and maintain a strong sense of ownership from concept to delivery.
• Familiarity with modern data practices: version control (Git), CI/CD, testing, and observability.

Nice to Have

• Experience with real-time data platforms as Tinybird or Clickhouse
• Exposure to domains like B2B, Marketing, or Partner Reporting.
• Experience with streaming or near-real-time data (Kafka, Kinesis, etc.).

Why Join Us

This is a unique opportunity to join Fever’s Data team at a key moment of growth. You’ll help design and scale the reporting and data delivery layer that connects our platform with thousands of partners worldwide. You’ll work with a modern data stack, collaborate with talented engineers and product teams, and shape how Fever delivers value through data.

You’ll join a team that values clarity, autonomy, and impact — where engineering excellence and business understanding go hand in hand.

Benefits & Perks

• Flexible schedule
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Responsibility from day one and professional and personal growth
• Great work environment, international team of talented people to work with!
• Health insurance from Day 1.
• English or Spanish Lessons
• Gympass Membership
• Cobee (tax free allowance on restaurants and transport).
• Possibility to receive in advance part of your salary by Payflow.

Interview process

The interview process will be conducted in Spanish; however, some interviews will require English.

• Talent Interview
• Technical Interview I
• Manager Interview

📍Barcelona, Spain | 💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 
Hybrid model: 3 days a week in the office

About our Engineering Teams:

We have over 400 engineers across Monzo who design and build our in-house banking platform. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company.

These range from the products our customers use everyday to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities.

We contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do!

Your day-to-day   

This role is all about collaborating with your team to make a difference to your customers. As a backend engineer you’ll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! 

Together you’ll build and support a particular part of Monzo. Our squads belong to our wider collectives (a word we use to describe self-governing business units of ~100 people). They are; Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion.

They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! 

Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles.

You should apply if:

• you have strong experience working on the backend of a technology product
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• you’re comfortable working in a team that deals with ambiguity
• you’re interested in distributed systems and writing resilient software
• you have some experience with strongly-typed languages (Go, Java, C, Scala etc.).
• you think you’d enjoy the kind of work we’re doing

We're on the look out for L50 Engineers at the moment, you can read more in our Engineering Progression Framework - we will interview you across the whole frame work, so if you are not sure what level you are aiming for please chat to your recruiters! 

Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you!

What you’ll be working on: 

We hire very technically agnostic so whilst we use the below technologies we do not expect prior knowledge, you will be fully supported in our organised onboarding to get up to speed in the below: 

• Go to write our application code (there’s an excellent interactive Go tutorial here)
• Cassandra for most persistent data storage
• Kafka for our asynchronous message queue
• Kubernetes and Docker to schedule and run our services 
• Envoy Proxy for RPC
• AWS for most of our production infrastructure and GCP for most of our data infrastructure
• React for our public web apps and internal tools
• We also have physical datacenters with actual cables to connect to various third parties

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Take home task or pair coding exercise 
3. Final interview: including a system design and a behavioural interview 

Our average process takes around 4 weeks but we will always work around your availability. 

One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

What’s in it for you:

💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 

📍Barcelona, Spain

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

📚Learning budget of €1,200 a year for books, training courses and conferences

#LI-JS1

📍Barcelona, Spain | 💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 
Hybrid model: 3 days a week in the office

About our Engineering Teams:

We have over 400 engineers across Monzo who design and build our in-house banking platform. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company.

These range from the products our customers use everyday to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities.

We contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do!

Your day-to-day   

This role is all about collaborating with your team to make a difference to your customers. As a backend engineer you’ll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! 

Together you’ll build and support a particular part of Monzo. Our squads belong to our wider collectives (a word we use to describe self-governing business units of ~100 people). They are; Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion.

They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! 

Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles.

You should apply if:

• you have strong experience working on the backend of a technology product
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• you’re comfortable working in a team that deals with ambiguity
• you’re interested in distributed systems and writing resilient software
• you have some experience with strongly-typed languages (Go, Java, C, Scala etc.).
• you think you’d enjoy the kind of work we’re doing

We're on the look out for L40 Engineers at the moment, you can read more in our Engineering Progression Framework you will be interviewed across the whole framework, so if you're not sure what level you're aiming for chat to your recruiter! 

Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you!

What you’ll be working on: 

We hire very technically agnostic so whilst we use the below technologies we do not expect prior knowledge, you will be fully supported in our organised onboarding to get up to speed in the below: 

• Go to write our application code (there’s an excellent interactive Go tutorial here)
• Cassandra for most persistent data storage
• Kafka for our asynchronous message queue
• Kubernetes and Docker to schedule and run our services 
• Envoy Proxy for RPC
• AWS for most of our production infrastructure and GCP for most of our data infrastructure
• React for our public web apps and internal tools
• We also have physical datacenters with actual cables to connect to various third parties

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Take home task or pair coding exercise 
3. Final interview: including a system design and a behavioural interview 

Our average process takes around 4 weeks but we will always work around your availability. 

One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

What’s in it for you:

💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 

📍Barcelona, Spain

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

📚Learning budget of €1,200 a year for books, training courses and conferences

#LI-JS1

📍Barcelona, Spain | 💰 Base salary for this role is depending on experience + benefits | Hybrid model: 3 days a week in the office

About our Engineering Teams:

We have over 400 engineers across Monzo who design and build our in-house banking platform. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company.

These range from the products our customers use everyday to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities.

We contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do!

What you’ll be working on: 

We rely heavily on the following tools and technologies:

• Go to write our application code (there’s an excellent interactive Go tutorial here)
• Cassandra for most persistent data storage
• Kafka for our asynchronous message queue
• Envoy Proxy for RPC
• Kubernetes and Docker to schedule and run our services 
• AWS for most of our infrastructure
• React for internal web dashboards
• We also have two physical datacenter sites with actual cables to connect to various third parties

Your day-to-day   

This role is all about collaborating across disciplines to test hypotheses and make a difference to customers. As a product backend engineer you’ll work in a squad alongside product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! 

Together you’ll build and support a particular part of Monzo. Our product squads belong to our wider collectives (a word we use to describe self-governing business units of ~100 people). They are; Money, Borrowing, Fincrime, Customer Operations, Platform, Personal Banking & Business Banking. They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! 

Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles.

You should apply if:

• you have strong experience working on the backend of a technology product
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• you’re comfortable working in a team that deals with ambiguity
• you’re interested in distributed systems and writing resilient software
• you have some experience with strongly-typed languages (Go, Java, C, Scala etc.).
• you think you’d enjoy the kind of work we’re doing

We're on the look out for L60 Engineers at the moment, you can read more in our Engineering Progression Framework we are also hiring on L40 & L50, our interview process will determine your levelling. 

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Take home task or pair coding exercise 
3. Final interview including a system design and a behavioural interview 

One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

What’s in it for you:

💰Base salary range for this role is depending on experience + equity + stock options & benefits 

📍Barcelona, Spain

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

📚Learning budget of €1,200 a year for books, training courses and conferences

#LI-JS1

Your mission

As an engineer within the Ops Hub at Bitpanda, you will own and drive technically critical, high-impact projects across our payments, compliance and risk infrastructure. You will help build and scale robust, resilient backend systems — from payment-processing services and PSP integrations, to real-time transaction screening, risk-detection pipelines, alerting and case-management tooling — ensuring that as we expand across Europe (and beyond), our infrastructure remains secure, performant, compliant and ready for growth. You will collaborate closely with cross-functional stakeholders (Payments, Compliance, Fraud & Risk Ops, Finance, etc.), and architect, build and maintain services that safeguard our customers and the platform while enabling seamless growth and localisation.

What you’ll do

• Design and develop scalable, resilient, message-driven services using Java
• Write clean and future proof code with 80% unit test test coverage, end to end and integration testing before deploying into event driven microservices architecture
• Optimise payment modules/services to ensure reliability, maintainability, performance and scalability using tools like 
• Drive innovation by researching and adopting the latest trends and technologies in backend development, ensuring our applications remain cutting-edge.

Who you are

• Knowledge and experience of software development using modern frameworks such as Spring Boot, with Java as your main programming language
• Understanding of relational and non-relational databases (bonus points for experience with Postgres and MongoDB)
• Experience creating and maintaining publicly available REST APIs with a keen understanding of performance optimisation and scalability
• Practical knowledge in using message-oriented middleware as we’re working with event driven microservices (ideally Apache Kafka or ZeroMQ)
• Understanding of CI/CD: familiarity with AWS and Kubernetes is ideal but any public cloud experience is fine

Your mission

As a Software Engineer at Bitpanda, you will have the opportunity to join one of several teams that build and maintain the back end systems that keep Bitpanda running - you could work within FinCrime Prevention, Payments Infrastructure, Identity Platform or something else equally interesting.

You will get work on business critical projects, tackling architectural and conceptual challenges, integrate with 3rd party vendors and interface and collaborate with many other Engineers and teams within Bitpanda.

What you’ll do

• Design and develop scalable, resilient, message-driven services using Java
• Write clean and correct code with high test coverage and extensive unit testing deployed into event driven microservices architecture
• Contribute to conversational development, disseminating information to the rest of the team
• Optimise systems to ensure reliability, performance, scalability and maintainability
• Build strong relationships with cross functional teams and be happy discussing topics and challenges 

Who you are

• Solid knowledge and experience of software development using modern frameworks such as Spring Boot, with Java as your main programming language
• Understanding of relational and non-relational databases (bonus points for experience with Postgres and MongoDB)
• Experience creating and maintaining publicly available REST APIs with a keen understanding of performance optimisation and scalability
• Practical knowledge in using message-oriented middleware as we’re working with event driven microservices (ideally Apache Kafka)
• Understanding of CI/CD: familiarity with AWS and Kubernetes is ideal but any public cloud experience is fine

We are seeking a skilled Data Engineer to join our Mobile Growth Platform UA team in Barcelona. The ideal candidate will be responsible for building, maintaining, and optimizing our data infrastructure, ensuring seamless data flow and accessibility for ML and DA, analytical and business needs.

Key Responsibilities:

• Design and build scalable data pipelines: Architect, construct, and maintain robust ETL/ELT pipelines using the Databricks platform (Apache Spark, Delta Lake, Delta Live Tables) for batch and streaming data ingestion from various sources.
• Manage data architecture: Define and maintain a scalable and secure data platform architecture that integrates Databricks (for data lakehouse management and complex transformations) with specialized OLAP engines (ClickHouse/Druid for fast querying).
• Design, develop, test, and orchestrate data workflows to streamline pipelines.
• Optimize performance and reliability: Monitor, troubleshoot, and fine-tune data workflows and database performance (e.g., Spark job optimization, ClickHouse schema tuning, Druid data partitioning) to ensure maximum efficiency and reliability.
• Contribute to the development of internal tools for automating data processes and business workflows, enhancing efficiency and scalability.
• Collaborate closely with product, MLOps and data science teams to ensure an optimal data experience for all ML practitioners and data consumers.

Requirements:

• 3-5+ years of professional work experience in data engineering.
• Strong expertise in Python and common data frameworks (Pandas, PySpark).
• Experience with modern data storage solutions: Data lakes (Delta tables), and data warehouses.
• Experience with data orchestration tools (Dagster, Airflow).
• Experience with streaming technologies (Kafka, Spark structured streaming).
• Experience with cloud platforms (AWS S3, EC2 etc.)
• OLAP Databases: Hands-on experience with ClickHouse and/or Apache Druid for real-time analytics and low-latency data serving.
• Strong problem-solving skills and ability to excel in a fast-paced startup environment.
• Based in Barcelona or ready to relocate to Barcelona.

Nice to have:

• Experience with Databricks platform.
• Experience in building ML data platforms.