At Wolt, world-class customer service isn’t an afterthought, it’s at the heart of everything we do 💙 We’ve built our reputation on delivering fast, thoughtful, and high-quality support, and we’ve done that by investing deeply in our own technology. Rather than just reacting to problems, we aim to solve them before our customers and partners even notice. Behind the scenes, that means building systems that scale globally, handle real-world complexity, and empower support teams to do their very best work. 

This is where the Multilingual Intelligence & Resolution Automation (MIRA) team comes in. The team is on a mission to make customer support truly borderless. We’re building intelligent, AI-powered systems used across Wolt, DoorDash, and Deliveroo, including a real-time translation engine that supports seamless conversations across 20+ languages. Processing hundreds of requests per minute and powered by modern cloud infrastructure and state-of-the-art LLMs, this system enables borderless support and helps create experiences that feel natural, human, and native, no matter where you are in the world. And we’re only just getting started. 🚀

What you’ll be doing

• Design, build, and operate scalable backend services powering real-time, customer-facing systems
• Develop and evolve AI-powered translation capabilities using LLMs in production
• Help build the tooling and infrastructure needed to evaluate models across quality, latency, and cost
• Collaborate closely with product, applied science, frontend, and platform teams to turn complex support problems into robust user-facing systems
• Take ownership of technical decisions and help shape the architecture and future direction of the system
• Improve the performance, reliability, and operational readiness of services handling real production traffic
• Continuously explore better ways of working, including leveraging AI tools to improve development workflows

Our humble expectations

• 👉 You have solid experience designing, building, and integrating quality software (microservices) at scale within a complex domain.
• 👉 You have strong backend development skills in Python or Go (interest in other tech is highly appreciated)
• 👉 You actively leverage modern AI tools (such as GitHub Copilot, Claude, ChatGPT or similar) to enhance your productivity, code quality, and day-to-day development workflow.
• 👉 You have strong technical leadership skills.
• 👉 You have experience with cloud platforms (AWS or similar), container orchestration (Kubernetes, Docker), observability tools (such as DataDog), and database technologies (SQL and NoSQL).
• 👉 Your stakeholder management skills are excellent.
• 👉 You're a pragmatic problem-solver with a growth mindset, eager to step outside your comfort zone and continuously learn.
• 👉 You're comfortable working with real-world data and its nuances.

What we offer

• A chance to build something that truly matters, technology that enables people to connect and solve problems across languages and borders
• The opportunity to work with AI and LLMs in real, high-impact production use cases
• Flexibility to work from Helsinki or Tallinn (hybrid), or remotely within Finland or Estonia
• Being part of a global engineering organization of 2000+ people, we aim to build none other than the best-in-the-world engineering team here.
• You’ll get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognise that if we don’t learn, we won’t stay still but fall behind, and keep in mind that Luke was Yoda’s greatest achievement.

🙌 Join us for an exciting journey of creating technology that brings joy, simplicity, and earnings to the neighbourhoods of the world!

See yourself at Twilio

Join the team as our next Software Engineer

About the job:

This position is needed to build and maintain reliable applications for Twilio’s supply insights and trust. The work involves developing back-end applications and front-end for internal tools.

As a Software Engineer in the team, you will be partnering with product managers, architects, engineering managers and other engineers to develop features for Messaging Supply products. You will be developing our messaging supply platform with emphasis on interfaces for Twilio’s suppliers to interact with Twilio, automation of manual tasks, and working on new features that support both internal and customer-facing applications.

Responsibilities:

In this role, you’ll:

• Design, develop, test and deploy features alongside a small, distributed collaborative team to build highly scalable and available services
• Collaborate other cross-functional teams, product managers, designers, and engineers to build compelling user experiences for developers and end users
• Ensure quality by writing unit, integration, and load tests, as well as conducting thorough code reviews.
• Work independently to troubleshoot/determine resolution for issues in your team's domain
• Build new features for both internal and customer-facing applications to ensure seamless integration and great customer experience

Qualifications:

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• At least 2 years of experience with full-stack software engineering
• Strong Computer Science fundamentals, not limited to data structures, algorithms, operating systems, and distributed systems
• Knowledge of processes and engineering best practices in all phases of the software development lifecycle, such as testing and devops standards
• Proficiency in at least one programming language, web stack and framework
• Strong oral and written communication skills (in English): be prepared to frequently propose and discuss ideas and implementation details with your teammates, as well as involving other stakeholders in Twilio - we’re one single team, no one flies solo!

Desired:

• Experience working with Java frameworks like Spring, Hibernate, Dropwizard.
• Experience working with React or a different web development framework
• Good understanding of DevOps CI/CD pipeline
• Experience working with agile/scrum methodologies
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Experience documenting your solutions and proposals

Location 

This role will be remote from Estonia.

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

See yourself at Twilio

Join the team as Twilio’s next Software Engineer.

About the job

This position is needed to to develop the future platform of communications. Twilio SMS Engineering is looking for a Software Engineer to join our team to work on our SMS connectivity layer with the purpose to build and optimize for delivery. You will be developing a complex distributed platform in Java and be concerned with availability, throughput, latency, and data integrity. At the core are cloud technologies that enable deployment and management of computing resources globally.

Responsibilities

In this role, you’ll:

• Design, develop, test and deploy features alongside an experienced, distributed collaborative team
• Participating in code reviews to ensure code quality and adherence to coding standards.
• Work independently to troubleshoot/determine resolution for issues in your team's domain
• Managing your work through the use of Github, Jira, and our build/deploy systems
• Ensure quality by writing unit-, integration- and load-tests
• Collaborating with cross-functional teams to define, design, and ship new features.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• Experience with Java frameworks such as Dropwizard, Spring, Hibernate, or similar.
• Experience with cloud services (AWS preferred, Google, Azure etc.)
• Strong Computer Science fundamentals not limited to data structures, algorithms, operating systems, and distributed systems
• Knowledge of processes and engineering best practices in all phases of the software development life cycle
• Readiness to participate in the on-call rotation
• Strong communication skills and desire to make an impact and thrive in small, collaborative, energetic teams

Desired:

• Experience with microservice architecture
• Experience working with Agile/Scrum methodologies
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)

Location

 This role will be remote and based in Estonia.

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

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

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

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

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

About the Role:  

Wrike’s Backend Reliability (BRE) team is the backbone of our backend infrastructure and the guardian of our uptime. Our mission is to achieve and sustain 99.99% availability while building the tools, components, and safety nets that the entire engineering organization relies on. As a Senior / Staff Backend Engineer on this team, you won’t just close tickets - you’ll architect core reliability solutions that shape how Wrike scales, performs, and recovers from failure.

Your Impact:  

• Design, build, and maintain critical reliability components such as HTTP rate limiters, internal DB schema migration tools, circuit breakers, and distributed Redis-based caching.  
• Troubleshoot complex production issues, optimize PostgreSQL usage, and ensure our distributed systems remain performant and stable under high load.  
• Lead preliminary investigations during severe production incidents: identify likely root causes, assess impact, and propose mitigation options. The long-term fixes are then implemented by the owning team, based on your findings.  
• Create scalable, reusable tools and frameworks that help other engineering teams build more resilient services.  
• Leverage AI-powered tools and coding agents to accelerate development, analyze architectures, and automate repetitive or error-prone tasks.  
• Influence reliability best practices across engineering by sharing knowledge, reviewing designs, and setting high technical standards.

Your Qualifications:  

• Strong expertise with Java/JVM, building scalable, high-performance backend systems; open to leveraging other languages when appropriate.  
• Solid understanding of distributed systems concepts, including high availability, CAP theorem, and fault tolerance.  
• Deep experience with relational databases (PostgreSQL) and key–value / non-relational storages (Redis).  
• Practical experience with containerization and cloud-native environments, including Docker and Kubernetes.  
• Hands-on experience with message brokers such as RabbitMQ or Kafka.  
• Ability to work independently with minimal supervision, using critical thinking to question assumptions and validate your own decisions.  
• Strong written and spoken English skills suitable for collaborating in an international engineering environment.

Standout Qualities:  

• Background in infrastructure engineering or Site Reliability Engineering (SRE), including infrastructure-as-code practices.  
• Experience leading technical initiatives, driving cross-team projects, and mentoring other engineers while remaining an individual contributor.  
• Familiarity with observability and monitoring stacks (e.g., Graylog, Zabbix, Grafana) and/or data analytics tools such as BigQuery.  
• A strong interest in how complex systems fail and a track record of designing them to recover gracefully.

Team Dynamics:  

You will join the Backend Reliability (BRE) team, a small, highly specialized, senior group focused solely on Wrike’s reliability. The team operates as an internal “reliability task force,” partnering closely with product and platform engineering teams across the company. You’ll collaborate with other senior engineers who value autonomy, deep technical discussions, and rigorous engineering practices. The culture is ownership-driven: you are trusted to manage your time, make architectural decisions, and drive initiatives to completion.

Our Work Style:  

The BRE team works on core backend and infrastructure services that support millions of users. We operate in a collaborative environment that values clear communication, thoughtful design, and fast feedback loops.  

• Tech focus areas include: Java/JVM-based services, PostgreSQL, Redis, Docker, Kubernetes, RabbitMQ/Kafka, and observability/monitoring tools.  
• We encourage the use of modern AI-based tooling and coding agents as part of daily development and troubleshooting workflows.  
• Work is organized with an emphasis on impact and reliability goals rather than ticket volume, giving you room for deep work and long-term improvements.  
• Hybrid work mode (Prague, Czech Republic / Nicosia, Cyprus), with flexibility to balance focused individual work and collaborative sessions.

Why Join Wrike?

• 5 Weeks of paid vacation
• Sick Leave Compensation 
  • 5 Paid Uncertified Sick Days
  • 2 weeks fully paid w/ medical certificate, additional 
  • 4 weeks paid at 80% salary rate
• Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 
• 2 Volunteer Days
• Meal Vouchers (CZK 220 per working day)
• Annual Prague Travel Card (Lítačka)
• Hybrid Working Model
• Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

What’s next?

• Interview with a Recruiter
• Technical interview
• System Design Interview
• Cultural interview 
  

Your recruitment buddy will be Aleksandar Chernev, Senior Technical Recruiter.

#LI-AC1 

About the Role:  

Wrike’s Backend Reliability (BRE) team is the backbone of our backend infrastructure and the guardian of our uptime. Our mission is to achieve and sustain 99.99% availability while building the tools, components, and safety nets that the entire engineering organization relies on. As a Senior / Staff Backend Engineer on this team, you won’t just close tickets - you’ll architect core reliability solutions that shape how Wrike scales, performs, and recovers from failure.

Your Impact:  

• Design, build, and maintain critical reliability components such as HTTP rate limiters, internal DB schema migration tools, circuit breakers, and distributed Redis-based caching.  
• Troubleshoot complex production issues, optimize PostgreSQL usage, and ensure our distributed systems remain performant and stable under high load.  
• Lead preliminary investigations during severe production incidents: identify likely root causes, assess impact, and propose mitigation options. The long-term fixes are then implemented by the owning team, based on your findings.  
• Create scalable, reusable tools and frameworks that help other engineering teams build more resilient services.  
• Leverage AI-powered tools and coding agents to accelerate development, analyze architectures, and automate repetitive or error-prone tasks.  
• Influence reliability best practices across engineering by sharing knowledge, reviewing designs, and setting high technical standards.

Your Qualifications:  

• Strong expertise with Java/JVM, building scalable, high-performance backend systems; open to leveraging other languages when appropriate.  
• Solid understanding of distributed systems concepts, including high availability, CAP theorem, and fault tolerance.  
• Deep experience with relational databases (PostgreSQL) and key–value / non-relational storages (Redis).  
• Practical experience with containerization and cloud-native environments, including Docker and Kubernetes.  
• Hands-on experience with message brokers such as RabbitMQ or Kafka.  
• Ability to work independently with minimal supervision, using critical thinking to question assumptions and validate your own decisions.  
• Strong written and spoken English skills suitable for collaborating in an international engineering environment.

Standout Qualities:  

• Background in infrastructure engineering or Site Reliability Engineering (SRE), including infrastructure-as-code practices.  
• Experience leading technical initiatives, driving cross-team projects, and mentoring other engineers while remaining an individual contributor.  
• Familiarity with observability and monitoring stacks (e.g., Graylog, Zabbix, Grafana) and/or data analytics tools such as BigQuery.  
• A strong interest in how complex systems fail and a track record of designing them to recover gracefully.

Team Dynamics:  

You will join the Backend Reliability (BRE) team, a small, highly specialized, senior group focused solely on Wrike’s reliability. The team operates as an internal “reliability task force,” partnering closely with product and platform engineering teams across the company. You’ll collaborate with other senior engineers who value autonomy, deep technical discussions, and rigorous engineering practices. The culture is ownership-driven: you are trusted to manage your time, make architectural decisions, and drive initiatives to completion.

Our Work Style:  

The BRE team works on core backend and infrastructure services that support millions of users. We operate in a collaborative environment that values clear communication, thoughtful design, and fast feedback loops.  

• Tech focus areas include: Java/JVM-based services, PostgreSQL, Redis, Docker, Kubernetes, RabbitMQ/Kafka, and observability/monitoring tools.  
• We encourage the use of modern AI-based tooling and coding agents as part of daily development and troubleshooting workflows.  
• Work is organized with an emphasis on impact and reliability goals rather than ticket volume, giving you room for deep work and long-term improvements.  
• Hybrid work mode (Prague, Czech Republic / Nicosia, Cyprus), with flexibility to balance focused individual work and collaborative sessions.

Why Join Wrike?

• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity 
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• Hybrid Working Model
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays

What’s next?

• Interview with a Recruiter
• Technical interview
• System Design Interview
• Cultural interview 
  

Your recruitment buddy will be Aleksandar Chernev, Senior Technical Recruiter.

#LI-AC1 

The Analytics Engineering Technical Lead will define and own the modeling architecture, standards, and technical direction within RSI’s cloud-native Data Platform. This role is accountable for ensuring that analytics-ready data is reliable, scalable, and aligned to long-term business needs across growth, operations, and risk.

You will lead the design and governance of core data models in Snowflake and dbt, establishing best practices that enable high-quality, self-service analytics without sacrificing trust or performance. As a hands-on technical leader, you will set standards for modeling, testing, documentation, and deployment while mentoring other Analytics Engineers and raising the overall technical bar of the team.

This role partners closely with Data Engineering, Analytics, and business stakeholders to translate evolving requirements into durable data products. You will help balance speed and governance, prioritize platform investments, and ensure our data foundation scales with the business.

Our modern data stack includes Snowflake, AWS, Python, Airflow, and dbt.

What You'll Do:

• Lead the design, development, and lifecycle management of curated datasets, dbt models, and analytics data marts aligned to business domains and metrics.
• Establish and evolve standards and best practices for dbt modeling, testing, documentation, and code organization to support long-term scalability.
• Ensure analytical datasets are accurate, reliable, and trusted, serving as a single source of truth for business, product, and stakeholders.
• Embed data quality checks, documentation, and governance directly into analytics pipelines.
• Partner closely with Product, Data Engineering and Analytics teams to translate business requirements into well-modeled, performant data products.
• Mentor and support Analytics Engineers through technical guidance, design reviews, and knowledge sharing.
• Continuously improve and modernize analytics workflows by introducing automation, tooling enhancements, and AI-assisted development where appropriate.
• This role includes technical leadership and mentoring responsibilities for the team, including other Analytics Engineers.

What You'll Bring:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related quantitative discipline.
• Technical Leadership: Proven experience defining technical direction, standards, and architectural decisions within analytics engineering or curation teams.
• Data Modeling Expertise: Deep understanding of dbt, data marts, dimensional modeling, and self-service BI enablement.
• Data Engineering Background: 7+ years of experience in data warehousing or development; 5+ years of experience in hands-on data engineering using SQL and Python.
• Cloud Infrastructure: Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization (Docker/Kubernetes).
• Tooling & Orchestration: Experience with tools like dbt, Airflow, S3, REST APIs, and large-scale DWHs (Snowflake, Redshift, BigQuery, etc.).
• Change Management: Skilled at leading cross-functional data initiatives and driving adoption of new tools and standards.
• People Leadership: Experience mentoring and guiding distributed teams across time zones.
• Communication: Strong written and verbal English skills with the ability to collaborate across technical and business functions.
• Able to travel occasionally both domestically and internationally #LI-HYBRID

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.

What is this role about?

As a Senior Product Engineer, you’ll be part of solving customer problems from ideation to achieved outcomes. It’s a rare chance to be part of a product-driven culture where you make your own product decisions, emphasis is on quality of solutions rather than outputs, and everyone strives to improve across practices, tools, technologies. 

You’ll enjoy a high degree of ownership, diverse set of problems (technology, regulations, user experience) and an environment that values problem-solving and collaboration. 

Your main responsibilities will be:

• Solve complex customer problems as part of the product team.
• Deliver initiatives from conception to meaningful results.
• Build, scale and run resilient production systems.
• Suggest continuous improvements to speed of delivery and learning through processes, tooling and teamwork. 
• Maintain high code quality and architecture representative of the reality of the business to make sure the team does not slow down in the future.

What would ensure success in this role?

• Strong software engineering background and hands-on experience in .NET, C#, Java or any other strongly typed backend stack.
• Familiarity with frontend tech, preferably React.
• Excellent communication and collaboration skills across engineering, product, and business.
• Product-driven and with previous experience in a fast-growing product company.
• Strong problem-solving skills.
• Bonus points for having
  
  • Experience with Azure, Kubernetes and Docker
  • Solid grasp of designing distributed systems
  • Relevant domain knowledge (finance, credit, banking, insurance etc.)

What can you expect at Bondora? 

• Contribute to Bondora’s ambitious goal of reaching 1BN in revenue. Your skills and efforts will directly impact our growth trajectory and shape the future of our company.
• Our employees deserve the best. We recognize our people with a competitive salary and a generous benefits package (5 weeks of vacation, private healthcare compensation, hobby grant, mental healthcare support, share options and much more!)
• We provide an environment that encourages your personal and professional growth. As we constantly evolve and innovate, you’ll have endless opportunities (and budget) to expand your skills and skyrocket your career.

The next steps

If you have the guts, ideas, and are ready to transform the fintech industry, apply now! 

Our hiring process: 

• Meet our Recruiter: Your first interview will give you the chance to share your experiences and aspirations. 
• Engage with one of our Engineering Managers to dig deeper into the role.
• Case study, showcasing your expertise with our Engineering team members. 
• Assessments: Complete our personality and logic assessments to showcase your strengths. 
• Final call with our VP of Engineering to discuss some last topics. 
• The celebration begins: If the stars align, receive an offer to join the Bondora team! 

This is a hybrid role that requires the candidate to be located in Tallinn or Tartu in Estonia.

 
We are looking for an ambitious Data Scientist to join our Fraud and Payments team and help us convert every order across all of our business lines by detecting potential fraudulent behaviour and optimizing the payment lifecycle.
 

 
 
With over 200 million users in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or ability.

Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
 

 
 
You’ll be working in the Fraud and Payments team, which is responsible for processing 1% of all card transactions in Europe. This team is a cross functional team consisting of product managers, data analysts, software engineers and data scientists. Our engines inspect every order across all of our business lines to detect potential fraudulent behaviour and optimize the payment lifecycle - preventing financial losses due to fraud, optimizing payment costs and helping our users to successfully complete their payments. 
 

 

• Working with a technical stack consisting of Python, Docker, SageMaker, Airflow and Databricks
• Building and improving fraud prediction models using different predictive approaches
• Exploring techniques that can improve the way we manage payments, including Causal and Reinforcement Learning
• Handling the entire lifecycle from project conceptualization and notebook prototyping to productizing and maintaining a machine learning based solution or other automation that might be serving hundreds of millions of users in production
• Leveraging our in-house data and model platform that allows you to launch new projects in a matter of days
• Deploying and A/B testing solutions for millions of users, enabling fast feedback and measurable added value to customers

 

• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems
• Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and untap growth opportunities
• Passion for continuous learning and a collaborative mindset, valuing open technical discussions and peer-to-peer knowledge sharing
• Mastery in Python and SQL
• Previous experience in fraud detection, payment optimization or related financial services is a plus
• Strong academic background in a quantitative field

 
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
 

 

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

  *Some perks may differ depending on your location and role.

What is this role about?

As the Lead Machine Learning Engineer at Bondora, you will be the backbone of our Data Science delivery. Your mission is to build the robust infrastructure that powers automated model pipelines, ensures deployment reliability, and governs the full ML lifecycle from experimentation to production.

This is a strategic and hands on engineering role. You will collaborate closely with Data Science, Data Engineering, and Development teams to remove friction, improve scalability, and bring stable, high quality ML solutions into everyday decision making.

You will guide the evolution of our ML engineering stack, lead high impact initiatives, and mentor engineers while shaping a culture of technical excellence 🌿

Your main responsibilities 🎯

• Guide the technical direction of Bondora’s ML engineering stack by selecting, evaluating, and implementing technologies, tools, and processes that improve scalability and reliability.
• Lead complex, high risk, or cross departmental projects that directly influence Data Science delivery, risk model performance, and production stability.
• Act as the bridge between Data Science, Data Engineering, and Development to identify and solve systemic technical challenges.
• Design and build advanced, production grade ML infrastructure and set the engineering standard for the team.
• Ensure all ML solutions are secure, observable, resilient, and scalable, following governance, compliance, and operational best practices.
• Mentor ML Engineers through code reviews, design sessions, and hands on technical leadership.
• Identify weaknesses or inefficiencies in model or data infrastructure and drive company wide improvements.
• Represent the ML Engineering team in technical discussions and communicate architectural decisions clearly to stakeholders.

What would ensure success in this role?💪

• Strong Python engineering background and experience with MLflow, Unity Catalog, Databricks, or equivalent platforms used for model lifecycle management.
• Proven experience designing ML infrastructure, including CI/CD, containerization with Docker or Kubernetes, and orchestration with Airflow or Prefect.
• Deep understanding of monitoring and observability frameworks such as Prometheus, Grafana, or Datadog, and a track record of improving pipeline reliability.
• Expertise in model governance, versioning, auditability, and operationalization from research to production.
• Solid knowledge of cloud infrastructure on AWS, GCP, or Azure, including cost effectiveness and security best practices.
• Experience leading cross functional initiatives and mentoring engineers.
• Ability to balance innovation and stability through structured experimentation, pilot phases, and safe adoption of new technologies.

What can you expect at Bondora? 

• Contribute to Bondora’s ambitious goal of reaching 1BN in revenue. Your skills and efforts will directly impact our growth trajectory and shape the future of our company.
• Our employees deserve the best. We recognize our people with a competitive salary and a generous benefits package (5 weeks of vacation, private healthcare compensation, hobby grant, mental healthcare support, share options and much more!)
• We provide an environment that encourages your personal and professional growth. As we constantly evolve and innovate, you’ll have endless opportunities (and budget) to expand your skills and skyrocket your career.

The next steps

If you have the guts, ideas, and a team vision, apply now! 

Our hiring process: 

1️⃣ Meet Kerli H., our recruiter, for an initial conversation about your background and ambitions.
2️⃣ Complete our personality and logic assessments via Alva Labs.
3️⃣ Meet Rafael, our Head of Data Science.
4️⃣ Complete case study.
5️⃣ Chat with Juris, our Chief Credit Officer.
6️⃣ If everything aligns, welcome to Bondora 🎉