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Platform Engineer

Staff Backend Developer

ABBYY

Budapestlead

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Role description

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
As a Staff Backend Developer at ABBYY, you will serve as the technical leader for a backend feature team, translating product goals into scalable, high-quality engineering solutions.

This is a hands-on individual contributor role with significant leadership influence, responsible for driving technical direction, mentoring engineers, and raising the engineering bar across the team. You will operate at the intersection of architecture, delivery, and technical strategy.

Key Responsibilities
Technical Leadership

  • Own the technical direction and architecture of your team’s backend services
  • Translate ambiguous product requirements into clear, well-scoped technical plans
  • Author and review Architecture Decision Records (ADRs)
  • Identify and proactively address systemic technical debt
  • Establish and uphold standards for code quality, testing, and operational readiness

Backend, Cloud & Edge Architecture

  • Design and build scalable backend services using .NET (C#) and/or Node.js/TypeScript
  • Architect workloads for Kubernetes, including resource management, health checks, and scaling strategies
  • Make informed architectural decisions across AWS and Azure environments
  • Design and implement edge compute solutions using Cloudflare Workers and related services
  • Partner with Platform Engineering and SRE on deployment pipelines, observability, and reliability

Mentorship & Enablement

  • Mentor engineers across all levels through code reviews, pairing, and technical coaching
  • Lead knowledge-sharing sessions and deep dives on architecture and best practices
  • Model and establish standards for effective AI-assisted development workflows
  • Partner with Engineering Managers to provide input on performance, growth, and promotion readiness

Delivery & Collaboration

  • Collaborate closely with Product Management on discovery, refinement, and delivery planning
  • Participate in agile ceremonies and cross-functional discussions
  • Proactively communicate risks, trade-offs, and dependencies to stakeholders

Qualifications

  • 8+ years of backend software engineering experience
  • Expert-level proficiency in .NET (C#) and/or Node.js/TypeScript
  • Strong production experience with Kubernetes
  • Solid working knowledge of AWS and/or Azure
  • Production experience with Cloudflare Workers and edge services
  • Deep understanding of distributed systems and API design
  • Proven ability to lead complex technical initiatives without formal authority
  • Strong written and verbal communication skills in English
  • Advanced proficiency with AI-assisted development tools

Preferred

  • Experience with messaging systems and event-driven architectures
  • Familiarity with SQL and NoSQL data stores
  • Knowledge of FinOps, multi-cluster Kubernetes, or service mesh architectures
  • Prior experience in a staff-level or technical lead role within a product company

Salary Range:
The anticipated base salary range for this position is between 23,019,360 HUF and 31,143,840 HUF. Base salary ranges may vary by geographic location and relevant experience, education, certifications, and seniority as compared to others doing substantially similar work. There is no guarantee an offer will be at the top of the posted range based on the salary analysis.

Here are some of our local benefits:

  • Medical benefits after 90 days
  • SZÉP Card allowance for recreational activities
  • Volunteering Time Off (VTO)
  • Company paid sick time up to 10 days per year

Join ABBYY, and you will:
Love How You Work

  • We provide remote and hybrid working options to fit all lifestyles.
  • We use flexible hours across most of our teams to allow you to find your own definition of balance.
  • Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
  • To ensure your family is cared for, we offer paid parental leave in all our locations.

Love Whom You Work With

  • We are a global team of 600+ colleagues, spread across 15 countries on four continents.
  • With colleagues representing 30+ nationalities, our workforce reflects the world.
  • Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
  • We are guided by the values of respect, transparency, and simplicity.
  • "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.

Love What You Work On

  • We are a company with more than 35 years of experience in the technology market;
  • Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
  • We have modernized the capture market by creating the first low-code/no-code IDP platform.
  • Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
  • Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.

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.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Platform Engineer

Talent Pool-AI

Qualysoft

Budapest

Apply on the employer's site

Role description

Founded in 1999 in Vienna, the Qualysoft Group is a manufacturer-independent IT consulting and services company, which successfully provides support for its international customers with the aim of boosting their competitiveness and economic efficiency through innovative IT solutions.

Its focus is on financial services providers, telecommunications companies, the automotive industry and energy service providers. Over 400 employees in 6 subsidiaries work together to ensure state of the art solutions for our clients.

We are looking for new colleagues in Qualysoft teams for diverse projects providing continuous learning opportunities. Our common goal is to provide honesty, development and a stable background while getting to know the latest technologies. We are waiting for your application for the position below!

AI Talent Pool
We are continuously building our network of AI professionals for future opportunities.

We are looking to connect with professionals across different areas of
Artificial Intelligence and Machine Learning
, including both
consulting and expert roles as well as technical positions
.

We Welcome Profiles With Experience In Areas Such As

  • AI Consultant / AI Expert
  • AI Engineer/ Generative AI Engineer
  • Machine Learning Engineer
  • MLOps / LLMOps Engineer
  • AI Solutions Architect
  • AI Developer
  • AI Product Manager
  • AI Governance / AI Compliance Specialist
  • AI Research Engineer
  • Agentic AI Engineer

Please note
that joining the AI Talent Pool does not mean applying for a specific open position. Your profile will be added to our database, and whenever a relevant AI opportunity becomes available, we will review our Talent Pool and
contact suitable candidates first
to discuss the opportunity and potential fit.

We look forward to connecting with you and learning more about your skills and experience. Join the
Qualysoft AI Talent Pool
and be among the first to hear about relevant opportunities and projects that match your expertise.

Why We Think You Will Love Working Here
With us you count as a person, our doors are always open.

We live the Qualysoft Team Spirit and stand for transparency!

Fresh wind and new ideas are welcome, because standstill is a foreign word at Qualysoft.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Platform Engineer

Lead Machine Learning Engineer

greehill

Budapestlead

Apply on the employer's site

Role description

Join Us in Making Cities Greener and More Sustainable

Are you passionate about using technology to combat climate change and enhance urban living? At
greehill
, we’re looking for a
Lead ML Engineer
to help us shape the future of sustainable cities. Join our mission to make urban environments around the world greener, healthier, and more resilient.

Who We Are

greehill is a global leader in nature-based smart-city solutions, driven by a passion for sustainability and innovation. We harness advanced technologies like remote sensing and machine learning to transform urban green spaces. Our cloud-based platform empowers cities to improve citizen well-being while reducing operational costs, using data from LiDAR scanners and camera systems to create digital twins of urban trees. With offices in Budapest, Hannover, Singapore, San Francisco, and Paris, we’re driving sustainability on an international scale.

Your Role

As a
Lead ML Engineer
, you’ll act as a technical leader, combining deep technical execution with mentorship, architectural ownership, and strategic input. You’ll be responsible for scaling our ML systems, shaping the technical roadmap, and guiding a high-performing ML team in building production-grade solutions for real-world urban challenges.

Key responsibilities:

  • Architect and lead the development of large-scale ML systems and model pipelines
  • Introduce new ML systems, such as traffic sign detection, building facade detection, and other computer vision-based solutions
  • Define and drive the ML technical roadmap in alignment with company objectives
  • Act as a technical mentor and leader for other ML engineers
  • Facilitate cross-team collaboration with product, engineering, and domain experts
  • Ensure engineering excellence through robust review processes, documentation, and technical standards
  • Own and refine deployment processes for real-time and batch ML services
  • Evaluate emerging tools, techniques, and architectures, and apply them strategically
  • Support technical decision-making across ML architecture, data pipelines, model development, and deployment

We’re seeking candidates with:

  • 5+ years of experience in
    ML/AI
    , with a strong focus on production-grade computer vision and deep learning models
  • Expert-level
    Python
    and PyTorch skills
  • Deep knowledge of scalable ML systems, data lifecycle management, and MLOps practices
  • Proven technical leadership experience, including mentoring engineers, leading projects, or guiding ML teams
  • Strong architectural thinking and the ability to make pragmatic technical decisions
  • Strategic thinking and excellent communication skills
  • A passion for sustainability and real-world applications of ML
  • Experience with complex algorithms and large-scale data processing

We value if you have experience in:

  • Managing, mentoring, or helping build small ML teams
  • Remote sensing, GIS, LiDAR, or point cloud data
  • Workflow orchestration tools such as Airflow
  • DevOps practices and tools, including Docker and Kubernetes
  • Cloud ML environments, especially Azure
  • Technical hiring, interviewing, and team scaling

Why Join Us?

At greehill, we’re assembling a team of curious, purpose-driven, out-of-the-box thinkers eager to tackle a high-impact mission. You’ll help shape the future of cities worldwide, making them more sustainable and resilient, with the chance to see the tangible impact of your contributions in urban environments.

  • Make a
    direct impact on climate adaptation
    and the future of cities through technology that actually gets used
  • Work on
    meaningful, real-world problems
    at the intersection of
    AI, sustainability, and urban tech
  • Join a
    fast-growing, international team
    with real freedom to shape both the product and your role
  • Learn, experiment, and grow with
    talented, curious (green-)tech experts
    who genuinely care about what they build
  • Develop yourself continuously with
    access to LinkedIn Learning
    and hands-on learning every day

How we work
– We believe the best ideas happen when people spend time together. That’s why we work
4 days a week from the office
, with
1 day from home
, creating space for collaboration while still keeping some freedom.

The position is
based in Budapest /Hungary/
so relocation might be needed from your side.

If you’re ready to contribute to a mission that counts and collaborate with driven professionals, join us at greehill.

We appreciate the interest of all job seekers in our organization. However, please note that at this time, we are unable to consider applications from outside of Hungary, who require a work permit for this position. We thank you for your understanding and encourage you to explore other opportunities with greehill in the future.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Platform Engineer

Senior AI Engineer - DT AOT

Siemens

Budapestsenior

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Role description

A Siemens Mobility Kft. K+F központjában, a XI. kerületi Infoparkban olyan projekteken dolgozunk, melyek biztosítják a zavartalan, fenntartható, megbízható és biztonságos közlekedést.
Tudj meg többet a cégünkről: www.siemens.hu/mobility

A projektről:
A Smart Text Hub (STH) projekt célja, hogy a Siemens Mobility különböző mérnöki, dokumentációs és operatív területeiről érkező felhasználói igényeket termékszintű, skálázható, AI‑alapú szolgáltatásokká alakítsa.

A csapat olyan AI‑vezérelt szoftverrendszereket fejleszt, amelyek megbízhatóan működnek és hosszú távú értéket teremtenek. A projekt középpontjában a modern LLM‑alapú technológiák, a fejlett retrieval‑architektúrák, a szemantikus dokumentumfeldolgozás és az AI‑alapú backend szolgáltatások állnak.

A csapat tagjaként az alábbi feladatok várnak rád:

  • Felhasználói igények megértése és átalakítása termékszintű AI‑megoldásokká.
  • Szoros együttműködés különböző belső üzleti és technológiai területekkel.
  • AI‑alapú műszaki koncepciók és megoldások elkészítése, amelyek mérhető üzleti értéket teremtenek.
  • Prompt engineering feladatok és kiértékelési módszerek tervezése, automatizálása és működtetése (benchmarking).
  • Adatminőség és adatkezelés felügyelete a modellek megfelelő kontextussal történő ellátása érdekében.
  • Termékszintű, éles környezetbe szánt AI szolgáltatások és komponensek fejlesztése (LLM‑integráció, szemantikus indexelés, RAG, hibrid keresés, vektor adatbázisok)
  • Skálázható backend API‑k, ágens‑alapú AI folyamatok és robusztus adatfolyamok fejlesztése.
  • End‑to‑end funkciók megvalósítása: tervezés, implementálás, tesztelés, dokumentáció, bevezetés, monitorozás.
  • CI/CD gyakorlatok, kódminőség és code review folyamatok aktív alkalmazása.
  • Konténerizáció használata (Docker) fejlesztéshez és üzemeltetéshez.
  • Gyakornokok mentorálása és szakmai támogatása AI területen.
  • Iteratív fejlesztési módszertanok (CRISP‑DM, SDLC) alkalmazása.

Te vagy az ideális jelölt, ha:

  • Rendelkezel legalább 5 év szoftverfejlesztési tapasztalattal AI‑fókusszal (NLP, LLM, RAG).
  • Magabiztosan programozol Pythonban (clean code, típusos Python 3.11+, async/await, Pydantic).
  • Van gyakorlatod retrieval‑architektúrákban (RAG, hibrid keresés, vektor adatbázisok).
  • Jártas vagy a tesztelésben és kódminőség‑biztosításban (pytest, mocking, quality gate).
  • Tapasztalt vagy konténerizált környezetekben (Docker).
  • Dolgoztál már éles termékkörnyezetbe kerülő szoftvereken, termékszemlélettel.
  • Ismered az iteratív fejlesztési kereteket (CRISP‑DM, SDLC).
  • Képes vagy automatizált kiértékelési pipeline‑ok, benchmark rendszerek tervezésére.
  • Aktív B2+ angol nyelvtudással rendelkezel.
  • Gyorsan tanulsz, jól alkalmazkodsz és erős analitikus gondolkodással rendelkezel.
  • Proaktívan, felelősségteljesen és hatékonyan dolgozol, önállóan és csapatban is.

A pályázásod során előnyt jelenthet, amennyiben:

  • AWS vagy Azure OpenAI tapasztalat.
  • MCP (Model Context Protocol) és modern API szabványok ismerete.

Mi az, amit mi biztosítunk?

  • Családbarát munkahelyet, kötetlen munkaidővel, rugalmas hozzáállással.
  • Stresszmentes környezetet, ahol nagy hangsúlyt kap a work-life balance.
  • Fejlődési lehetőségeket, egyéni tréning kerettel, kidolgozott karrierúttal.
  • Fontos számunkra az egészséged, többek közt élet- és egészségbiztosítással óvunk.
  • Ergonomikus munkakörnyezetet biztosítunk számodra, ezzel is kényelmessé téve az irodai munkavégzést.
  • A felsoroltak mellett egy több mint 20 elemből álló béren kívüli juttatási csomaggal várunk.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Platform Engineer

Automation Designer / Developer (Microsoft Power)

DHL Supply Chain

Budapestsenior

Apply on the employer's site

Role description

The
Center of Digitalization (HR)
at DHL is responsible for digitizing, automating, and continuously improving
HR processes and HR Shared Service Center operations
across the organization.

This role is designed for
experienced professionals
with
2–5 years
of relevant Microsoft Power automation experience, ranging from strong mid-level contributors to senior specialists.

Key Responsibilities

  • Design and develop applications & automation solutions using mainly the
    Microsoft Power Platform
    for
    HR and HR Shared Service Center processes
  • Analyze HR business processes and translate them into
    functional and technical workflow designs
  • Implement workflow solutions using State of the Art Cloud BPMN Platforms like
    Pega
  • Collaborate closely with HR process owners, HR Shared Service Center teams, IT and integration teams
  • Support testing, deployment, and stabilization of HR workflow solutions
  • Monitor and troubleshoot automation solutions to ensure optimal performance and address any issues promptly
  • Ensure compliance with
    data protection, security, audit, and HR governance standards
  • Contribute to
    automation standards, templates, and best practices
    within HR digitalization
  • Stay updated with the latest trends and advancements in automation technologies and recommend improvements

Qualifications & Key Requirements

  • 2–5 years of experience
    in
    Microsoft Power
    automation (mainly
    Power Apps
    &
    Power Automate
    ), BPMN or process digitalization
  • Strong expertise in
    User Interface & User Experience
    design principles, with the ability to create intuitive, user-centered digital experiences
  • Solid understanding of
    business process management principles
    (e.g. BPMN, orchestration, case management)
  • Ability to translate
    HR business requirements into technical workflow solutions
  • Ability to work independently and collaboratively in a fast-paced environment along with different countries and cultures.
  • Experience or strong interest in
    HR processes or HR Shared Service Center operations
    (e.g. employee lifecycle, onboarding/offboarding, master data, approvals, requests)
  • Experience working in enterprise or shared service environments
  • Strong structured, analytical, and quality-focused working style
  • Fluent English is mandatory
    with German being a plus

What do we offer?

  • Competitive compensation package (including cafeteria).
  • Private health insurance.
  • Modern tools and technologies.
  • A key role in DHL’s HR-focused Center of Digitalization
  • Ownership of end-to-end HR automation solutions
  • Direct collaboration with HR and Shared Service leaders
  • Clear growth path toward senior or expert automation roles

Location:
Budapest, IX. district (hybrid)

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Staff Backend DeveloperABBYY · Hungary

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