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At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.
We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance.
This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.
At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.
Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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The Sportsbook Area is now hiring! Our world-class Sportsbook is fully developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product serving and offering a sports betting platform in different regions of the world. Our Product Development organisation is a cross functional one with teams spanning across 5 different Tech Hubs - in Malta, Budapest, Stockholm, Tallinn and Athens.
Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.
Our sportsbook platform is fully developed and operated in-house – from architecture and engineering to the trading operations. It powers more than 20 brands, delivering a comprehensive sports betting experience to our customers. From the internal tools used by our trading teams to the cutting-edge features that enhance the customer betting journey, our platform is built and maintained by dedicated, high-performing teams.
Our mission is to deliver industry-leading performance, functionality, and user experience within the iGaming space.
As part of our Sportsbook Technology team, you will contribute to a high-performance, high-throughput, and highly available product ecosystem. You will play a key role in ensuring that the team consistently delivers measurable business value while maintaining technical excellence.
The employee reports to the Engineering Manager.
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
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At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
We are looking for an experienced Corporate Infrastructure Engineer who will be focused on Wolt and Doordash´s IT Infrastructure. This role will build and scale our systems to support a fully automated infrastructure by leveraging various technologies. You will work closely with several teams here at DoorDash including (but not limited to): Security, IT, Network Engineering and Enterprise Systems.
Our ideal candidate for this position will have the ability to identify problems and offer resolutions in a timely manner. You will be responsible for the design, development and implementation of corporate IT systems. You will report into the Manager, Infrastructure in our IT organization.
All applications are reviewed by a real human, so please be patient. Qualified candidates will have the opportunity to speak with a member of our recruiting team before moving on to talk with the hiring manager. This is a highly technical role so the next step will be a live scripting/coding interview, followed by chats with members of the team and cross-functional partners.
We are looking to fill this role as quickly as possible, but are committed to finding the right candidate who will be successful in the role
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
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At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and AI consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program, and made three consecutive appearances on the Financial Times FT1000 list.
We are currently looking for passionate early-career professionals and recent graduates to join our October cohort for an intensive, 6-month training program to become Data Engineering (with Databricks) Consultants.
We don’t expect you to be a Data Engineer on day one, but we do expect you to have the drive to become one. Upon completing the program, you’ll work within our EMEA and US customer teams to help them solve their data engineering, ML, MLOps, GenAI, LLMOps, and cloud migration puzzles.
DATAPAO's Data Engineering Academy is a 6-month intensive training program launching in early October 2026. It is designed to scale you up into a top-notch Data Engineer (with Databricks) Consultant.
The program is put together and run by consultants and technical Instructors who have delivered Databricks projects and enabled data professionals across EMEA for years. This means you will have the opportunity to learn from the world-class consultants and instructors who built DATAPAO's Gold Partner legacy within the Databricks Partner Ecosystem.
Phase 1 (Month 1-3)
This will be a high-intensity learning phase. You’ll follow a bi-weekly sprint model: one week of deep-dive technical classes, followed by one or two weeks of hands-on project delivery. You’ll master the stack we use for our global clients, specifically Apache Spark and Databricks on AWS/Azure.
Phase 2 (Months 4-6)
During this period, you’ll gradually move into complex capstone projects and also start shadowing our senior consultants on real-life engagements. The phase focuses on building your consulting skills by delivering simulated projects and shadowing real calls to observe how we navigate requirements and advise stakeholders. You will also have the opportunity to contribute to internal strategic projects, eg. building an automatic migration tool.
Post-Graduation
Once you graduate, you’ll officially join our project teams. Over time, as your seniority grows, you’ll transition into delivering and/or leading complex end-to-end projects across our entire global portfolio.
What does it take to fit the bill?
What do we offer?
The base salary for this position is 900,000 HUF gross/month. Additionally, you will receive a 750,000 HUF gross bonus at the end of each quarter (dependent on program milestones completion) up until your first work anniversary.
We will kick-off the selection process in mid-May for our upcoming October 2026 cohort.
This program requires EU citizenship or a valid right to work in Hungary. We do not currently offer sponsorship or visa transfers (including Skilled Worker visas). Applicants must have the legal right to work on a full-time basis to be considered for the program.
DATAPAO is a Data Engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement.
We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few.
As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.
For even more insights, check the links below:
Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)
Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)
"Ha a data governance jól működik, az olyan, mint egy láthatatlan szupererő” (HU) by Máté Gulyás (2023, Com-Forth Zóna Podcast)
You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com
We’re firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we'd love to hear back from you.
When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. But if you want to know more about how we store and manage your data, check our privacy policy.
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At Betsson Group, we strive to deliver the best customer experience in the industry. We are one of the market leaders in iGaming, offering online gaming products in a number of markets, both through our own gaming sites as well as several partner brands.
Our Product Development organisation spans across 5 locations, with the most creative teams in the industry! If you are passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you!
We are operating in a very competitive market therefore we MUST use latest technologies. Our aim is to create the best performance, functionality, and user experience in the iGaming industry!
You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 40+ online brands! Our brands are used by hundreds of thousands of users and growing.
Player Account Management (PAM) Area covers everything related to the management of the player accounts, such as:
Why Betsson Group?
We get it, everyone is hiring! So what makes us different?
Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across 21 offices worldwide - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.
Learn more here about why you should seriously consider becoming our next Betssonite!
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
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Apply to Betsson Group
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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.
The Role We are seeking an exceptional Python Lead Engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.
What You'll Bring
What We Offer:
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.
The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.
What You'll Bring
What We Offer:
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
Ready to apply?
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The Sportsbook Area with Product Development is now hiring! We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning 5 Tech Hubs. These can be found in Malta, Budapest, Stockholm, Tallinn and Athens.
Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.
Our Sportsbook Platform is ours – from our Architecture to our Trading teams – we have an in-house platform which hosts our brands offering Sportsbetting for our customers. From the tools our traders use to the cutting edge features our customers use to bet on various sports – our teams are the backbone to making this happen! Our aim is to create the best performance, functionality and user experience in the iGaming industry! As part of our Sportsbook tech team – a high performance, throughout and availability product serving many brands (20+), you will be key in ensuring that the team delivers the required business value.
You will be part of an end-to-end agile team with a strong feature focus, consisting of developers, QA engineers and UX specialists. Team members are expected to be involved in all aspects of software development from making sure that the architecture and design is as good as we can make it, to writing code, unit and end-to-end tests and manage our data models.
You will work both on designing and implementing new features as well as analyzing the system and improve architecture and technical excellence.
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
Ready to apply?
Apply to Betsson Group
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The Sportsbook Area is now hiring! Our world-class Sportsbook is fully developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product serving and offering a sports betting platform in different regions of the world. Our Product Development organisation is a cross functional one with teams spanning across 5 different Tech Hubs - in Malta, Budapest, Stockholm, Tallinn and Athens.
Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.
Our sportsbook platform is fully developed and operated in-house – from architecture and engineering to the trading operations. It powers more than 20 brands, delivering a comprehensive sports betting experience to our customers. From the internal tools used by our trading teams to the cutting-edge features that enhance the customer betting journey, our platform is built and maintained by dedicated, high-performing teams.
Our mission is to deliver industry-leading performance, functionality, and user experience within the iGaming space.
As part of our Sportsbook Technology team, you will contribute to a high-performance, high-throughput, and highly available product ecosystem. You will play a key role in ensuring that the team consistently delivers measurable business value while maintaining technical excellence.
The employee reports to the Engineering Manager.
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
At Betsson Group we work with a Hybrid Work From Home (WFH) model, giving you the flexibility of working 3 days in the office (Monday, Wednesday, Friday) and 2 days from home.
We offer numerous challenges where your skills will be put to good use! We encourage innovation, independence and celebrate success where you will be part of multi-cultural and diverse company, with people from all over the world.
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
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As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
Ready to apply?
Apply to Betsson Group
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At Betsson Group, we strive to deliver the best customer experience in the industry. We are one of the market leaders in iGaming, offering online gaming products in a number of markets, both through our own gaming sites as well as several partner brands.
Our Product Development organisation spans across 5 locations, with the most creative teams in the industry! If you are passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you!
We are operating in a very competitive market therefore we MUST use latest technologies. Our aim is to create the best performance, functionality, and user experience in the iGaming industry!
You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 40+ online brands! Our brands are used by hundreds of thousands of users and growing.
Player Account Management (PAM) Area covers everything related to the management of the player accounts, such as:
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
Ready to apply?
Apply to Betsson Group
Share this job
At Betsson Group, we strive to deliver the best customer experience in the industry. We are one of the market leaders in iGaming, offering online gaming products in a number of markets, both through our own gaming sites as well as several partner brands.
Our Product Development organisation spans across 5 locations, with the most creative teams in the industry! If you are passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you!
We are operating in a very competitive market therefore we MUST use latest technologies. Our aim is to create the best performance, functionality, and user experience in the iGaming industry!
You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 40+ online brands! Our brands are used by hundreds of thousands of users and growing.
Player Account Management (PAM) Area covers everything related to the management of the player accounts, such as:
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
Ready to apply?
Apply to Betsson Group
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the role:
ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.
We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.
Job Responsibilities:
Job Requirements:
Desired Qualifications
Here are some of our local benefits:
#LI-MM1
Join ABBYY, and you will:
Love how you work
Love whom you work with
Love what you work on
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the role:
ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.
We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.
Job Responsibilities:
Job Requirements:
Desired Qualifications
Here are some of our local benefits:
#LI-MM1
Join ABBYY, and you will:
Love how you work
Love whom you work with
Love what you work on
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
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Position overview:
We’re looking for a Software Engineering Manager who blends technical depth with product intuition — someone who doesn’t just deliver features, but cares deeply about how they work, feel, and perform.
You’ll lead a cross-functional engineering team modernizing one of the world’s most trusted governance, risk, and compliance platforms as we move forward to the direction of the AI native software development.
This is not a pure “people manager” or “ticket shepherd” role. We’re looking for someone who:
Key Responsibilities
What You’ll Bring
Preferred Experience
#LI-Hybrid
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and AI consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program, and made three consecutive appearances on the Financial Times FT1000 list.
We are currently looking for a well-versed (Senior) Data Engineer to work with our EMEA and US customers and help them solve their data engineering, ML and/or ML Ops, and cloud migration puzzles.
As a Data Engineer, you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. The majority are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship, alone or along with a Project Manager. Additionally, at this seniority level, we expect you to compound your impact across the team and the organization - by mentoring more junior engineers, evaluating the quality of their work, and contributing to hiring best-in-class data engineers.
What does it take to fit the bill?
You are fluent in English and willing to travel (mainly in the EU and normally within a short business trip setup) up to 15% of your time.
What do we offer?
Educational benefits: There’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications. You'll also get dedicated time for learning during work hours and access to our internal library.
Flexible PTO and Working Hours: We’re flexible about your working routine and how many days you take off if it does not conflict with customer success, company goals, and the work you do.
Flexible Office: It is up to you which days you spend in the office. However, as a strong community is one of DATAPAO's value propositions, we’d expect you to spend one day per week in the office on average.
30 Calendar Days of Paternity Leave (if applicable): We think it’s essential for both parents to be there when it matters the most.
Private Medical Insurance: We provide a private medical package via Generali.
Employee Assistance Program (EAP): Through EAP, we offer our employees access to psychological, financial, and legal consulting services via phone or in person.
Top-notch working equipment: Working comfortably means working well. Therefore, you will get a MacBook, a Herman Miller office chair, standing desks in the office, and whatever else is needed to give your best.
The chance to make an impact in a high-transparency culture: Open feedback and a no-politics environment are things we value a lot at DATAPAO. Additionally, you'll get the chance to shape the future of a rapidly growing tech company, to work with cutting-edge technologies, and to help some of the biggest and most innovative companies in the world sort out their data puzzles.
A cozy and modern office in the heart of Budapest: Located in a vibrant, central part of the city (Opera/Oktogon), it's designed to foster focus, creativity, and team connection. You'll find open spaces for group work, quiet corners for deep thinking, and plenty of natural light. It’s well-stocked with snacks, drinks, coffee, and beverages. Optional Friday evening beers, movie, and wine-tasting nights with the team are also on us.
The gross salary for this position ranges from gr. 1.200.000 - 1.700.000 HUF/month for a Medior and from gr. 1.700.000 - 2.300.000 HUF/month for a Senior role, depending on your assessed seniority level during the selection process.
DATAPAO is a Data Engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement.
We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few.
As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.
For even more insights, check the links below:
Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)
Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)
"Ha a data governance jól működik, az olyan, mint egy láthatatlan szupererő” (HU) by Máté Gulyás (2023, Com-Forth Zóna Podcast)
You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com
We’re firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you’re passionate about data and learning new things, you’ll fit right in, and we'd love to hear back from you.
When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. But if you want to know more about how we store and manage your data, check our privacy policy.
Ready to apply?
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Position Overview:
As a Staff Software Engineer at Diligent, you’ll create robust, scalable, and secure microservices that power our SaaS platform for governance. You’ll leverage AWS (serverless or migrations) with TypeScript, own services end-to-end (code, deployment, monitoring), drive architecture discussions, and regularly demo to the department. A critical part of this role is shaping our AI strategy: you’ll lead design decisions, embed AI responsibly into systems, and mentor teams on AI capabilities, safety, and governance.
Key Responsibilities:
Required Experience/Skills
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
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