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Platform Engineer

Platform Engineer

Senior Software Engineer (AI, AWS & Python)

Diligent

Budapestsenior

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Role description

Here’s a summary of the role:
You’ll be a Senior Software Engineer helping shape how AI is built, deployed, and scaled across Diligent’s platform. Working at the intersection of Applied Science, Product, and Engineering, you’ll turn machine learning and LLM-based ideas into secure, reliable, production-ready services that accelerate AI adoption across Diligent’s product suite.

This role is about combining strong software engineering fundamentals with practical AI delivery. You’ll design and build scalable platform services, develop shared libraries and frameworks, improve evaluation and testing practices, and help teams embed AI responsibly into customer-facing products. You’ll work on systems that handle sensitive customer content, so privacy, security, observability, and governance need to be built in from day one.

If you enjoy solving hard platform problems, writing high quality code in Python and TypeScript, partnering closely with Applied Scientists and Product teams, and using AI as a practical tool to deliver meaningful value, this role is for you.

Here’s a breakdown of what you’ll do (not all of it, just the important stuff):

  • Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform.
  • Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring.
  • Collaborate with Applied Scientists, Product teams, and other Software Engineers to implement and productize AI-based capabilities.
  • Continuously raise the bar by evaluating and piloting new tools (including latest AI tooling) to improve performance, cost efficiency, and developer productivity.
  • Shape and evolve AI platform infrastructure by applying established organisational patterns and improving them where needed.
  • Design and develop reusable AI libraries, frameworks, and internal tooling that accelerate delivery across multiple teams.
  • Stay ahead of AI and platform trends, adapting designs and practices so your systems remain robust, compliant, and future‑proof.

These are the essentials you’ll need to get an interview:

  • 5+ years of experience delivering secure, scalable applications in agile environments.
  • Strong ability to write highly readable, maintainable, and well-tested code, with a solid grounding in software design principles.
  • Strong hands-on skills in Python and Node.js/TypeScript on a major cloud platform (preferably AWS), including serverless or microservice patterns, infrastructure as code (CDK/Terraform), CI/CD, containerization, and observability tooling.
  • Experience building and operating backend services or microservices in a major cloud environment, preferably AWS.
  • Good understanding of the full lifecycle of AI-based solutions, from experimentation and implementation through deployment, monitoring, and iteration.
  • Practical experience working with LLM-based systems or adjacent AI technologies.
  • Ability to collaborate effectively across disciplines and help translate applied science work into robust product capabilities.
  • Habit of integrating security best practices (IAM, secrets management, privacy controls) into everything you build — including AI components.
  • Excellent communication and leadership skills: you explain complex technical and AI topics clearly to different audiences.

It would be great if you had these to, but we’ll support you if you don’t:

  • Hands-on experience with AWS CDK.
  • Hands-on experience with LLM-related techniques such as prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions, or MCP servers.
  • Experience developing AI evaluation, observability, or governance mechanisms for production systems.
  • Experience shaping shared platform capabilities or reusable engineering patterns across multiple teams.
  • Experience improving performance, reliability, or cost efficiency for cloud-based AI or data-intensive services.
  • Interest or experience in mentoring peers, raising engineering standards, and helping teams adopt better ways of working.

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.

At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact.

Learn more at diligent.com or follow us on LinkedIn and Facebook

What Diligent Offers You

  • Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
  • We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
  • We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
  • Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

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.

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 US EEOC’s Know Your Rights. We are a drug free workplace.

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 support a fair and consistent hiring process, we use AI and digital automated tools to assist our recruitment team in organizing candidate data, surfacing relevant applications, coordinating interview scheduling and summarizing interview notes. All final screening, evaluation, and hiring decisions are made by humans on our team. To learn more about how we collect, protect, and process your information, please review our Candidate Privacy Policy.

At Diligent, we recognize the value of a diverse global workforce. Visa sponsorship may be available for select positions based on business needs and specific role requirements. Sponsorship decisions are evaluated on a case-by-case basis, and eligibility should not be assumed for all opportunities.

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

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

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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

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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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Senior Software Engineer (AI, AWS & Python)Diligent · Hungary

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