About the role

We are seeking a Machine Learning Engineer with expertise in classical Computer Vision and Deep Learning to contribute to the development of advanced computer vision algorithms focused on item authentication and fingerprinting.

In this role, you will drive the research, development, and deployment of state-of-the-art algorithms and models aimed at accurately determining the authenticity of items and assigning unique digital identities through image analysis. You will also oversee the optimisation of image capture solutions on edge devices and ensure models are interpretable, scalable, and robust.

As a senior team member, you will collaborate cross-functionally to define and deliver impactful projects and contribute to thought leadership in the computer vision domain.

Reports to: ML Manager
Location: Remote: Austria, Bulgaria, Ukraine, Hungary & Romania

What You'll Do:

Leadership & Strategy

• Define the technical roadmap for computer vision projects, aligning with business goals and customer needs.
• Mentor and provide technical guidance to junior engineers, fostering a culture of collaboration, innovation, and excellence.

Advanced Research & Algorithm Development

• Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications.
• Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability.

Scalable Systems & Model Deployment

• Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems.
• Optimise algorithms for edge device deployment, focusing on latency, accuracy, and power consumption.

Collaboration & Stakeholder Engagement

• Work closely with internal and external stakeholders to understand product requirements, define project scopes, and deliver actionable solutions.
• Collaborate with engineering teams to integrate CV models into broader system architectures while maintaining system reliability and performance.

Operational Excellence

• Drive best practices in code quality, testing, and documentation. Review and refine code, ensuring modularity, reliability, and adherence to industry standards.
• Analyse production data to identify opportunities for continuous improvement in algorithms and systems.

Who you are:

• Education: Bachelor's or Master’s in Electronics, Physics, Computer Science, or related field.
• Experience: 3-6 years in computer vision and machine learning development.
• Core Expertise:
  • • Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies.
    • Advanced knowledge of Python and C++, with expertise in frameworks such as PyTorch, HuggingFace, OpenCV, and CUDA.
    • Extensive experience in designing, training, and deploying CV models at scale, including distributed training and inference pipelines.
    • Expertise in API design and deployment for ML model services such as FastAPI, TensorRT, Nvidia Triton, and Ray.
• Mathematical Proficiency: Strong foundation in probability, statistics, optimisation, linear algebra, and geometry.
• EdgeML Experience: Skilled in deploying and optimising models for iOS devices, with a focus on real-time data processing and resource efficiency.
• Collaboration & Communication: Ability to articulate technical concepts and collaborate in cross-functional, global teams.
• Ownership & Drive: A proactive approach, a high degree of ownership, and an eagerness to tackle complex challenges.

What we offer

• Market-competitive and pay equity-focused compensation structure
• Generous time away, including company holidays, paid time off, sick time, parental leave, and more!
• The agency to innovate, directly impacting product features and customer experiences.
• Opportunity to be part of the core team in a growing setup.
• Opportunities to publish research, contribute to patents, and further develop CVML and edgeML expertise.

We have had an incredible run so far and are laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day. 

If you are a visionary Computer Vision / ML engineer with extensive experience in crafting production-ready solutions, a passion for mentoring, and a desire to solve impactful challenges, we’d love to connect!

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 (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 (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 (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 a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

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 (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

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.

Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.

Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.

Key Responsibilities

• Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
• Write sophisticated, performant SQL to extract insights from large-scale datasets
• Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
• Develop internal tooling and automation using Python, FastAPI, and modern frameworks
• Communicate findings clearly to technical and non-technical stakeholders-translate data into action
• Understand and document data architecture, lineage, and how information flows across systems
• Collaborate on business process analysis and process design improvements driven by data
• Proactively identify opportunities for deeper analysis, better tooling, and operational improvements

Requirements & Qualifications

• 7+ years of professional experience in data analytics engineering, data engineering, or a related field
• Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
• Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
• js experience - ability to build data-facing web applications and internal dashboards
• Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
• Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
• Excellent communication skills - you can explain complex analysis to anyone in the room
• Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
• Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
• A public GitHub profile with examples of your work (personal projects, contributions, experiments)

Nice to Have

• FastAPI experience for building internal APIs and services
• Background in business process design or operational analytics
• Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Location – India (remote)

Travel - As required for the job (minimal).

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.

Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.

Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.

Key Responsibilities

• Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
• Write sophisticated, performant SQL to extract insights from large-scale datasets
• Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
• Develop internal tooling and automation using Python, FastAPI, and modern frameworks
• Communicate findings clearly to technical and non-technical stakeholders-translate data into action
• Understand and document data architecture, lineage, and how information flows across systems
• Collaborate on business process analysis and process design improvements driven by data
• Proactively identify opportunities for deeper analysis, better tooling, and operational improvements

Requirements & Qualifications

• 7+ years of professional experience in data analytics engineering, data engineering, or a related field
• Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
• Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
• js experience - ability to build data-facing web applications and internal dashboards
• Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
• Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
• Excellent communication skills - you can explain complex analysis to anyone in the room
• Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
• Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
• A public GitHub profile with examples of your work (personal projects, contributions, experiments)

Nice to Have

• FastAPI experience for building internal APIs and services
• Background in business process design or operational analytics
• Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Location – Bulgaria (Hybrid, Sofia)

Travel - As required for the job (minimal).

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.

Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.

Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.

Key Responsibilities

• Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
• Write sophisticated, performant SQL to extract insights from large-scale datasets
• Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
• Develop internal tooling and automation using Python, FastAPI, and modern frameworks
• Communicate findings clearly to technical and non-technical stakeholders-translate data into action
• Understand and document data architecture, lineage, and how information flows across systems
• Collaborate on business process analysis and process design improvements driven by data
• Proactively identify opportunities for deeper analysis, better tooling, and operational improvements

Requirements & Qualifications

• 7+ years of professional experience in data analytics engineering, data engineering, or a related field
• Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
• Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
• js experience - ability to build data-facing web applications and internal dashboards
• Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
• Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
• Excellent communication skills - you can explain complex analysis to anyone in the room
• Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
• Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
• A public GitHub profile with examples of your work (personal projects, contributions, experiments)

Nice to Have

• FastAPI experience for building internal APIs and services
• Background in business process design or operational analytics
• Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Location – Romania (remote)

Travel - As required for the job (minimal).

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

About the Role

To achieve our visionary goals, we are scaling up our robust engineering team and looking for a Full Stack Software Engineer to meet the compelling challenges we face. Our product consists of many services that are not limited to a single technology so it’s important that you are technology agnostic and eager to learn new stuff. You’ll be responsible for delivering entire, highly complex features to production. As part of a team of talented and highly experienced individuals, you’ll have the opportunity to shape everything. Our goal is to produce the best solution for our customers. 

Being part of the Payhawk team means that you’ll be developing a world-class product in the fast-growing fintech industry. We deliver an exceptional solution, and to continue doing so, we seek out the top 1% engineering talent.

Responsibilities

• Contribute to the implementation of new features and resolution of bugs in the domain area, ensuring high-quality, maintainable code that aligns with team standards.
• Participate in the complete product development lifecycle, including planning, implementation, code reviews, testing, deployments, and post-release support.
• Write modular, clean, and testable code that avoids language or structure-related mistakes. Apply appropriate testing strategies (unit, integration, e2e tests) to ensure strong coverage and reliability.
• Take ownership of well-defined tasks, work autonomously, and proactively seek input when facing uncertainty, ensuring clarity on scope and edge cases before starting.
• Collaborate effectively with product managers, designers, and engineers to understand problems, evaluate trade-offs, and deliver solutions that support business goals.
• Review pull requests constructively, communicate clearly about your work, and proactively share updates, blockers, or risks.
• Develop a strong understanding of the domain and broader system context to contribute to accurate estimations and high-quality delivery.

Requirements

• Advanced programming experience and superior knowledge of programming languages and technologies: Node.js, TypeScript, PostgreSQL, Kubernetes, Docker, Google Cloud, React, React Native, Apache Kafka.
• Bachelor's degree in Computer Science (or related field).
• 3+ years of relevant work experience.
• Experience with agile processes, continuous delivery, and continuous integration.
• Ability to multitask, organize, and prioritize work.
• Exceptional integrity and work ethic.
• Nice to have: Experience working with LLMs, AI-driven architectures, and autonomous agents, including vector databases, embedding models, and MLOps practices.

Company Benefits

• Competitive compensation package based on experience
• 30 days holiday paid leave
• One week exchange policy to another Payhawk office (London, Berlin, Barcelona, Paris, Amsterdam and Vilnius)
• Flexible working hours and opportunity to work from home 
• Regular team-wide events
• Additional medical care 
• MultiSport card fully funded by us
• Company office massages
• Personal assistant service
• Opportunity to use the Payhawk product (that is, essentially, built by you)

About the Role

To achieve our visionary goals, we are scaling up our robust engineering team and looking for a Full Stack Software Engineer to meet the compelling challenges we face. Our product consists of many services that are not limited to a single technology so it’s important that you are technology agnostic and eager to learn new stuff. You’ll be responsible for delivering entire, highly complex features to production. As part of a team of talented and highly experienced individuals, you’ll have the opportunity to shape everything. Our goal is to produce the best solution for our customers.

Being part of the Payhawk team means that you’ll be developing a world-class product in the fast-growing fintech industry. We deliver an exceptional solution, and to continue doing so, we seek out the top 1% engineering talent.

 Responsibilities

• Lead the build of new product features and maintain existing ones by driving impactful engineering initiatives and owning end-to-end delivery.
• Participate in the full software development lifecycle, including frontend, backend, testing, deployment, and LLM-based functionalities where applicable, while contributing to the architecture and proposing scalable, sustainable solutions.
• Collaborate with product managers and designers to capture requirements and gain a strong business perspective on the features being implemented.
• Break down complex, ambiguous problems into well-scoped and clearly defined tasks, ensuring alignment with product and technical goals.
• Write scalable, high-performance, and maintainable code, ensuring testability, coverage, continuous integration, and backward compatibility.
• Own feature delivery from discovery through deployment and monitoring, proactively addressing blockers and risks with minimal supervision.
• Mentor and support other engineers through knowledge sharing, constructive feedback, and code reviews.
• Collaborate across teams to remove dependencies, foster alignment, and ensure the team’s work fits into the broader technical direction.

Requirements

• Advanced programming experience and superior knowledge of programming languages and technologies: Node.js, TypeScript, PostgreSQL, Kubernetes, Docker, Google Cloud, React, React Native, Apache Kafka.
• Bachelor's degree in Computer Science (or related field).
• 6+ years of relevant work experience.
• Experience with agile processes, continuous delivery, and continuous integration.
• Ability to multitask, organize, and prioritize work.
• Exceptional integrity and work ethic.
• Nice to have: Experience working with LLMs, AI-driven architectures, and autonomous agents, including vector databases, embedding models, and MLOps practices.

Company Benefits

• Competitive compensation package based on experience
• 30 days holiday paid leave
• One week exchange policy to another Payhawk office (London, Berlin, Barcelona, Paris, Amsterdam and Vilnius)
• Flexible working hours and opportunity to work from home 
• Regular team-wide events
• Additional medical care 
• MultiSport card fully funded by us
• Company office massages
• Personal assistant service
• Opportunity to use the Payhawk product (that is, essentially, built by you)

About the Role

We are building something extraordinary at Payhawk, and we’re looking for a passionate Applied AI Engineer to join us as one of the pioneers working on our innovative agents. In this role, you’ll have the unique opportunity to be part of the foundational team shaping the future of how we leverage AI to transform financial operations. You'll tackle complex challenges, design and deploy intelligent systems, and collaborate with a team of talented professionals to deliver impactful solutions. If you're excited about pushing the boundaries of machine learning and making a real difference, we’d love to hear from you.

Being part of the Payhawk team means that you’ll be developing a world-class product in the fast-growing fintech industry. We deliver an exceptional solution, and to continue doing so, we seek out the top 1% engineering talent.

Responsibilities

• Design and implement autonomous AI agents that leverage LLMs for reasoning, planning, and decision-making.
• Measure and track performance of autonomous AI agents in terms of speed and accuracy across various complex tasks.
• Optimize and deploy LLM-based agents in production environments, ensuring efficiency, security, maintainability and reliability.
• Build robust evaluation pipelines to help us iterate over new versions of our end-to-end solution.
• Implement multi-agent systems where LLMs collaborate to solve tasks.
• Develop memory and context management strategies for long-term agent interactions.
• Collaborate with cross-functional teams to integrate machine learning solutions into scalable products.
• Stay abreast of the latest advancements in large language models (e.g., GPT, LLama, Gemma) and Transformer-based architectures.
• Explore the evolving field of autonomous agents and identify opportunities for innovative applications.
• Leverage cloud platforms, particularly GCP, to deploy and maintain ML solutions efficiently.

Requirements

• Background in Computer Science, Mathematics, or a related discipline.
• Hands-on experience in the development, deployment, and fine-tuning of GenAI solutions in production environments.
• Desirable: experience with autonomous agents and agentic workflows, covering the entire lifecycle from design and development to deployment in real-world scenarios.
• Strong understanding of text representation techniques, feature engineering, model development, and prompt engineering.
• Familiarity with emerging trends in autonomous agents is a plus.
• Strong problem-solving abilities and a capacity to work independently.
• Ability to multitask, organize, and prioritize work.
• Exceptional integrity and work ethic.

Company Benefits

• Competitive compensation package based on experience
• 30 days holiday paid leave
• One week exchange policy to another Payhawk office (London, Berlin, Barcelona, Paris, Amsterdam and Vilnius)
• Flexible working hours and opportunity to work from home
• Regular team-wide events
• Additional medical care
• MultiSport card fully funded by us
• Company office massages
• Personal assistant service
• Opportunity to use the Payhawk product (that is, essentially, built by you)

Why us? 

Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022, and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.

• Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product
• Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement
• Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration
• Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation
• Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies

• 4+ years of relevant experience
• Experience building and using machine learning models with clear and measurable business impact
• Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL
• Comfortable working in production-oriented codebases, including using Git for version control
• An interactive and collaborative approach to delivering ML-powered data products
• Quick learning ability and a drive well-suited to a fast-paced startup environment
• Experience clarifying ambiguous business problems and translating them into effective ML solutions
• Curiosity about data, distributions, and outliers, with a strong interest in using data to propose and validate causes and effects
• Strong quantitative and programming skills paired with a product-driven sensibility
• Graduate degree in a technical or quantitative discipline
• Fluent in spoken and written English and Bulgarian

Why us? 

Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022, and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.

• Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product
• Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement
• Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration
• Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation
• Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies

• 4+ years of relevant experience
• Experience building and using machine learning models with clear and measurable business impact
• Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL
• Comfortable working in production-oriented codebases, including using Git for version control
• An interactive and collaborative approach to delivering ML-powered data products
• Quick learning ability and a drive well-suited to a fast-paced startup environment
• Experience clarifying ambiguous business problems and translating them into effective ML solutions
• Curiosity about data, distributions, and outliers, with a strong interest in using data to propose and validate causes and effects
• Strong quantitative and programming skills paired with a product-driven sensibility
• Graduate degree in a technical or quantitative discipline
• Fluent in spoken and written English and Bulgarian

Why us? 

Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.

How you will make an impact:

• Lead cross-functional projects from ideation to execution with a high degree of independence and maximum impact
• Solve high velocity, high impact analytics problems
• Scale the business using data
• Work on a mix of analytics engineering, business analytics, and data science using SQL and Python
• Build scalable data infrastructure that solves real problems

Sample projects:

• Operate and improve a data product to serve evolving business needs
• Refactor data system to scale with increased volume and new requirements
• Build new data pipelines to support tracking of new business initiatives 
• Champion usage of new tools and systems to improve team processes
• Improve the prediction accuracy of our customer acquisition machine-learning bidding algorithms
• Perform customer segmentation analysis to discover where to improve Insurify products
• Improve alerting systems to help us triage data quality issues at scale

Key Skills + Background

• 3-4 years of experience, record of impact and success in a similar role (Analytics or Data Engineering, Data Science, Data Analysis)
• Expertise in and real-world experience with SQL
• Exposure to data warehousing and ETL concepts 
• Strong quantitative and programming skills - Python (preferred) R, Rust, Go, Ruby, C++ also good
• Bachelors / Masters in Mathematics, Engineering, CS, Economics, or other technical major
• Quick learning ability and a drive suitable for the startup hustle.
• A positive team player with a solid work ethic who is ready to pivot between projects, learn from mistakes, always move forward, and help build the next big thing in insurance!

Benefits

• Employee stock options
• 25 days annual leave
• Enhanced private medical, dental and vision insurance plans
• Yearly wellbeing budget or Multisport card
• Personal budget for learning and books
• Employee Assistance Program and other wellbeing perks
• Office kitchen and fun area with snacks and beverages
• Regular social events
• Friendly office culture
• Hybrid office