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!

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.

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.

What is this role about?

As Site Reliability Engineer, you’re tasked with making sure that our infrastructure stays a couple of steps ahead of our ambitious growth plans. You’ll solve complex infrastructure problems and make those solutions available to engineering teams so that they can deploy with peace of mind and focus on customer problems.

It’s a rare chance to be part of a product-driven culture where you make your own 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 (cloud, developer experience, databases, provisioning etc.) and an environment that values problem-solving and collaboration.

This hybrid role is located in our Tallinn or Tartu office. 

Your main responsibilites will be: 

• Build a reliable platform for our products, making sure that up-time, monitoring and recovery meet up to the modern standard.
• Standardized and automate infrastructure tasks so that engineers are able to self-serve and benefit from best practices
• Build a developer experience that allows to ship without friction, confidently and daily, making best practices available to teams through tooling and automation.
• Manage and optimize cloud infrastructure, including databases.
• Respond to and solve production incidents.

What you'll bring:

• 5+ years of experience with cloud infrastructure, Azure preferred.
• Ability to write code and script to automate tasks.
• Infrastructure as code and automated provisioning.
• Understanding of networking and security fundamentals
• Strong understanding of monitoring, incident management and recovery practices.
• You are ready for on-call shifts. 
• Bonus: 
  • Experience in a regulate space, preferably in Finance
  • Specialized knowledge in networking, security, Kubernetes, databases or developer experience

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: 

• First off, meet Karl who will talk a bit more about Bondora, the role and will have few questions up his sleeve! 
• Meet ťhe hiring manager: our 2nd call will give you the chance to hear more about us and share your experiences and aspirations. 
• Assessments: Complete personality and logic assessments to showcase your strengths. 
• Meet the team for technical interview: Get to know the people you’ll be working closest with. 
• Last discussion with our VP of Engineering as the final cherry on top. 
• The celebration begins: If the stars align, receive an offer to join the Bondora team! 

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 🎉