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Platform Engineer

Platform Engineer

Full-Stack Developer

Morgan Stanley

Budapestfulltimelead

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Описание вакансии

We are seeking a hands-on Full-Stack Developer to join an infrastructure-facing development group within Workforce Technology & Services to support designing and delivering internal products that support infrastructure operations and production management.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is Full-Stack Developer role at Vice President level, which is part of the job family responsible for developing software tools, automation platforms, APIs, and supporting solutions that help service and infrastructure teams improve reliability and manage complex production processes at scale. This role is well suited to an engineer who can combine strong software development skills with an understanding of infrastructure operations, service delivery, and the practical challenges faced by technical support teams.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What You'll Do In The Role

  • Design and deliver backend services, APIs, automation workflows, and front-end capabilities that enable infrastructure and service teams to manage operational processes more effectively.
  • Develop services using C#.NET and Python FastAPI, with a focus on clear service boundaries, reusable components, observability, and long-term maintainability.
  • Develop API gateway logic, authentication flows, routing patterns, and integration approaches using technologies such as Ocelot, YARP, and Apigee.
  • Develop Angular-based user interfaces that present complex infrastructure and support workflows in a clear, controlled, and usable manner for technical teams.
  • Contribute to CI/CD pipelines, containerization, deployment practices, and release processes that support reliable delivery in an enterprise environment.
  • Collaborate with infrastructure, production management, and service teams to understand operational requirements and convert them into scalable, maintainable software solutions.
  • Use secure integration patterns for authentication, authorization, data access, and service-to-service communication.
  • Evaluate opportunities to apply AI-assisted capabilities where they can responsibly improve triage, workflow guidance, knowledge discovery, or support effectiveness.

What You'll Bring To The Role

  • The role operates within a modern enterprise engineering environment that includes C#.NET, Python FastAPI, Angular, Angular Material, TailwindCSS, DaisyUI, Ocelot, YARP, Apigee, OIDC-based authentication, MS SQL, MongoDB, Jenkins, Docker, PowerShell, and Python scripting. While prior experience with every technology in the stack is not required, candidates should demonstrate strong engineering fundamentals, sound judgment, and the ability to learn and apply appropriate tools to business and operational problems.
  • Experience building software that supports infrastructure, IT operations, production management, automation, internal platforms, or other service-oriented technical environments.
  • A strong full stack development background, including backend services, APIs, front-end development, databases, automated testing, and secure integration patterns.
  • Experience working with technical stakeholders, including infrastructure engineers, support teams, production manager and platform owners, with the judgment to balance delivery speed, simplicity, resilience, and enterprise standards.
  • Ability to articulate engineering decisions, including service design, authentication approaches, performance considerations, failure handling, operational support, and maintainability.
  • Practical understanding of CI/CD, containerization, agile delivery, SDLC practices, design patterns, database design, and message-based or event-driven integration patterns such as Kafka Candidate Discussion Focus
  • Ability to explain technical concepts in practical terms, connect software design to operational impact, and demonstrate an informed understanding of infrastructure and service team workflows.
  • Commitment to writing code that is readable, maintainable, secure, and designed to accommodate future change.
  • Ownership of outcomes, including a willingness to understand production realities, operational constraints, user behaviour, and support requirements.
  • Interest in automation and emerging technologies, particularly where they can improve support workflows and decision-making responsibly.
  • Awareness of performance considerations, including the ability to design efficient logic and apply asynchronous, parallel, or multithreaded patterns where appropriate.

#BPTECH

What You Can Expect From Morgan Stanley
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about\-us/global\-offices into your browser.

Certified Persons Regulatory Requirements
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people\-opportunities/eeo.

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Platform Engineer

Talent Pool-AI

Qualysoft

Budapest

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Описание вакансии

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.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Platform Engineer

Lead Machine Learning Engineer

greehill

Budapestlead

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Описание вакансии

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.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Platform Engineer

Senior AI Engineer - DT AOT

Siemens

Budapestsenior

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Описание вакансии

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.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Platform Engineer

Automation Designer / Developer (Microsoft Power)

DHL Supply Chain

Budapestsenior

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Описание вакансии

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)

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

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Full-Stack DeveloperMorgan Stanley · Hungary

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