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Site Reliability Engineer

Site Reliability Engineer

Principal Software Engineer (Python, AI)

Diligent

Budapestfulltime

Apply on the employer's site

Role description

Here’s a summary of the role:
This is a
principal-level role
for someone who has already operated at Staff or Principal Engineer level in a sizeable engineering organization and can point to specific platform decisions — in production today — that they own. You'll
set the technical direction for our AI-enabled platform
: architecting secure, scalable, serverless systems on AWS, defining the patterns and governance practices that multiple teams adopt, and guiding where AI genuinely adds value across the stack.

Your leverage comes from the systems, architectures, and standards you put in place — not from individual output. You'll
mentor senior engineers
, lead org-wide design decisions, and be the person other technical leaders turn to when the hard calls need to be made. You'll still write code, but that's not where your impact is measured.

If you've
led complex platform or AI initiatives
at scale, have strong opinions about AI governance in production systems, and want the scope to shape an entire platform's future, this is that role.

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

  • Shape engineering strategy with broad organizational impact — you'll influence long-term architectural direction across multiple teams and products, not just within your own squad.
  • Drive platform evolution by identifying cross-cutting pain points and leading the design of secure, scalable, reusable solutions built on AWS and modern serverless and microservice patterns.
  • Lead architectural discussions and design reviews where the stakes are real — making clear trade-offs around performance, security, reliability, and maintainability, and getting alignment across teams with competing priorities.
  • Own AI architectural decisions end-to-end: design AI-enabled systems with built-in governance, monitoring, and regulatory readiness baked in from the start, not retrofitted. Define where AI adds genuine value and where it doesn't.
  • Act as the organization's AI thought leader — educate engineering teams on model behavior, agentic systems, and responsible AI practices, and raise the overall maturity of how we design and deploy AI.
  • Mentor and stretch senior and staff engineers, building technical leadership depth across the organisation and holding a high bar for engineering standards.

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

  • Principal-level track record at scale. 10+ years of software engineering experience, including at least 3 years' operating at Staff or Principal Engineer level in an organization of 100+ engineers. You've led large, complex platform or AI initiatives where you were the decision-maker, not a contributor.
  • Deep, opinionated AWS platform expertise. You've designed multi-account AWS architectures and made the call on when serverless is the wrong choice. You work fluently with Infrastructure as Code — Terraform or CDK preferred — and have strong views on observability, resilience, and security that you've translated into org-wide patterns.
  • Production AI systems experience. You've shipped AI-enabled systems — RAG pipelines, agentic frameworks, LLM orchestration, or similar — into production and can discuss the architectural decisions, failure modes, and trade-offs involved. "Understanding AI concepts" is not enough; we need someone who has built and run these systems.
  • AI governance in practice. You've defined and implemented AI governance in real production environments — bias and privacy checks in pipelines, audit-ready monitoring, AI usage policies — not just read about it. This is essential, not a bonus.
  • API design and backend platform delivery. Proven track record designing and shipping RESTful APIs and backend platform components using Node.js/TypeScript. You understand frontend concerns well enough to set API contracts that serve product teams effectively, even if you're not writing React day-to-day.
  • Org-level communication and influence. You can align stakeholders on complex technical decisions, run architecture forums, and mentor other senior technical leaders. You're as comfortable in a board-level conversation as you are in a design review.

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

  • Experience building platform components or SDKs that multiple product teams depend on, including the documentation and enablement work that makes them adoptable.
  • Involvement in architecture forums, tech councils, or similar bodies that define org-wide standards — either running them or playing a leading role.
  • Experience optimising cost and performance for data and AI-heavy workloads at scale, including capacity planning and infrastructure tuning.
  • Leadership of major modernisation efforts — legacy migration to serverless, multi-region architecture, or platform consolidation across product lines.
  • A public technical presence — conference talks, open-source contributions, published writing — that demonstrates thought leadership beyond your current organisation.

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.

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.

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.

Please find the link to our candidate privacy policy here: https://www.diligent.com/legal/candidate\-privacy

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.

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.

Site Reliability Engineer

Senior AI Developer (DevOps Background)

Yettel.Hungary

Törökbálintfulltime

Apply on the employer's site

Role description

Téged keresünk, ha a magyar piac egyik vezető telekommunikációs vállalatánál szeretnél dolgozni azért, hogy ügyfeleink partnerei legyünk a digitális világban. Tedd meg az első lépést, hozd inspiráló ötleteidet és légy az összetartó és profi
IT
csapatunk tagja!

Légy kíváncsi, vállalj felelősséget, végezd szenvedéllyel a munkádat és nyiss a fejlődésre! Érjük el közösen céljainkat, hiszen Yettelesként úgy inspirálhatsz valódi változást, hogy közben önmagad lehetsz. Kik vagyunk mi? Több mint 1800 kolléga, közel 130 lokáción országszerte, egy nagy csapatként, korlátlan élményekkel. Szívünk lime színben dobog, és a Yettel lehetőséget ad nekünk arra, hogy megvalósítsuk az álmainkat.

Csatlakozz a Yettel Magyarországhoz mint

Senior AI Developer (DevOps háttérrel),

és legyél velünk önmagad, légy hatással a világra.

Ezekben a feladatokban számítunk Rád:

  • Megtervezed és üzemelteted
    az
    AI‑ügynökök és automatizált delivery pipeline‑ok infrastruktúráját OKD/OpenShift platformon
    , aminek eredményeként az AI‑asszisztált szoftverszállítás stabil, skálázható alapokra kerül, és érezhetően csökkennek az operációs súrlódások a szervezetben.
  • Integrálod az LLM‑alapú eszközöket
    (ChatGPT Enterprise, Codex, Claude)
    a DevOps folyamatokba
    – automatizált kódreview‑k, tesztfuttatások és runbook‑generálás kialakításával –, így gyorsabbá válik a delivery, miközben nő a kódminőség és az egységes mérnöki működés.
  • A BPMN‑ben modellezett delivery folyamatokat automatizált pipeline‑szakaszokká fordítod le
    a Business Analysttel együttműködésben, amivel hidat építesz az üzleti logika és a technikai megvalósítás között, és átláthatóbbá válik az end‑to‑end működés.
  • AI‑ügynököket építesz és tartasz karban infrastruktúra‑automatizálásra
    , incidensdetektálásra és öngyógyító operációkra fókuszálva, csökkentve a manuális beavatkozások számát és az üzemeltetési terhelést.
  • End‑to‑end automatizálási workflow
    ‑kat tervezel, az AI által generált kódartefaktumoktól a builden, tesztelésen és biztonsági szkennelésen át egészen a deployig.
  • Közvetlenül alakítod
    azt, hogyan valósul meg és érik az
    AI‑asszisztált szoftverszállítás
    a vállalatnál, technológiai és működési szinten egyaránt.

Téged várunk a csapatunkba, ha rendelkezel:

  • Legalább 3–5 év
    gyakorlati DevOps tapasztalatod
    van, beleértve OKD, OpenShift vagy Kubernetes platformokat
  • Éles,
    vállalati környezetben építettél, telepítettél és üzemeltettél AI-ügynököket
    – nem csupán prototípus szinten
  • Gyakorlati tapasztalatod van LLM-integrációban
    (OpenAI API, Anthropic Claude vagy hasonló), skill és agent orchestration keretrendszerekben (pl. superpowers, B-MAD )
  • Otthonosan mozogsz
    Python, Bash, Go scripting
    és
    Linux automatizálás
    területén
  • Mélyen ismered a
    Dockert, konténer-orchestrációt, TCP/IP
    hálózatokat,
    DNS
    -t és a
    Git
    et
  • Terveztél, megvalósítottál és karbantartottál enterprise
    CI/CD folyamatokat
    és eszközöket (GitLab CI, Jenkins, ArgoCD vagy hasonló)
  • Ismered az
    observability és monitorozási eszközöket
    : Dynatrace, Graylog, Prometheus, Grafana vagy OpenTelemetry
  • A
    BPMN folyamatmodellezés
    és szoftverszállítási workflow-kban való alkalmazása jelentős előnynek számít
  • Tapasztalatod van
    AI-asszisztált kódgeneráló
    és review eszközökkel
    (Claude Code, GitHub Copilot, Codex, Cursor vagy hasonló)
  • Erős analitikus gondolkodással rendelkezel, komplex operációs folyamatokat automatizált AI-vezérelt workflow-kká tudsz fordítani
  • Folyékonyan kommunikálsz
    szóban és írásban
    egyaránt,
    angolul és magyarul

A Yettel csapatában akkor találod meg a helyed, ha képes vagy csapatban dolgozni, felelősséget vállalsz a munkádért, adatalapon gondolkodsz, proaktív szemlélet jellemez, és tisztelettel bánsz mindenkivel. A Yettelnél megállíthatatlanul dolgozunk a telco szektor megújításán, ezért fontos számunkra, hogy legalább alapszinten használd a mesterséges intelligencia eszközeit, és bátran építsd be őket a mindennapi munkádba, hogy még hatékonyabban dolgozhass.

Fedezd fel a Yettel nyújtotta lehetőségeket!

#FlexibleWorking:
A természetközeli és innovatív Yettel Házban dolgozunk, nyáron pedig a Garden office is rendelkezésünkre áll. Emellett lehetőség van Home Office munkavégzésre is, amelynek a mértéke területenként eltérő, a legtöbb pozíció esetében havonta 6 nap.

#Health:
Kollektív élet- és egészségbiztosítást, apasági szabit, valamint igyenes tanácsadást biztosítunk kollégáinknak életmód, pszichológia, jogi és pénzügyi területeken. Irodai edzőtermünk és szaunáink is várják munkatársainkat.

#Technology:
Az természetes, hogy céges okostelefont kapsz korlátlan nettel, sőt, családtagjaidnak és barátaidnak is kedvezményes tarifát kínálunk.

#Learning:
Tréningek, képzések és egy online platform is elérhető, hogy sose állj meg a fejlődésben! Célunk, hogy végig támogassunk a személyes és szakmai karriered során, miközben folyamatosan új dolgokat tanulsz!

#YettelHQ:
Törökbálinti központunk az ország egyik legkorszerűbb irodaháza, amely panoráma terasszal, külső sportpályával és alternatív kerti irodával is rendelkezik.

#CégesBusz:
Törökbálintra a Yettel szerződéses járataival is el tudsz jutni, amelyek mindenki számára igénybe vehetők. Felszálláskor nincs szükséged semmilyen dokumentum felmutatására. Ezek a buszok folyamatosan indulnak Népliget, Kelenföld, valamint Déli pályaudvar állomásokról, felismerni a járművek elején lévő „Szerződéses járat – Yettel” tábla alapján lehet őket.

Kedvet kaptál?

Kérjük, küldd el jelentkezésed és hamarosan felvesszük Veled a kapcsolatot. A jelentkezési folyamattal kapcsolatban és további részletekért keresd fel karrier oldalunkat! Addig is kövess minket a legjobb Yettel pillanatokért a Instagramon és a LinkedInen.

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.

Site Reliability Engineer

IT Systems Engineer - Data Manager

AVL in Hungary

Érdfulltime

Apply on the employer's site

Role description

Job Description

  • Design and implement storage solutions (NetApp)
  • Maintain and optimize IT infrastructure and backup systems (3rd level support)
  • Manage infrastructure applications (Networker, Avamar, Veeam)
  • Automate processes and perform data analysis
  • Troubleshoot issues and perform root cause analysis
  • Handle system updates, patching, and security
  • Manage backup & disaster recovery processes
  • Maintain documentation

Profile Description

  • 2–5 years of experience with storage systems
  • Strong NetApp knowledge
  • Experience with Azure
  • Backup tools experience is a plus
  • Very good English and minimum basic German language knowledge
  • Team player with strong communication skills
  • Proactive, analytical, and solution-oriented
  • Willingness to travel (~10%) and on-call duty

We Offer

  • Group accident insurance, private medical insurance
  • Flexible working time, home office possibility (60%)
  • International projects, business trips
  • Travel reimbursement
  • Relaxation and fitness room
  • Cafe and restaurant in the office building

ABOUT AVL HUNGARY KFT.
AVL Hungary Kft., founded in 2002, has become a leading research and development center in almost all areas of powertrain systems in recent years by combining the 100-year tradition of the Hungarian vehicle industry and the innovative activities of the global company.

The Hungarian company's team of more than 500 professionals works in a high-tech development environment not only in the headquarters in Érd, but in Budapest, Zalaegerszeg and Kecskemét. The team is operating primarily in the fields of R&D - planning, simulation, testing, software development, calibration, and production planning.

The results of the work of our colleagues and the technical innovations created by AVL are used in passenger cars, heavy vehicles, construction machinery and ship industries of five continents: AVL Hungary participates in national and international projects, works with the most modern tools, and develops the powertrains of 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.

Site Reliability Engineer

Data Engineer

Kpler

Budapestfulltime

Apply on the employer's site

Role description

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.

Your Future Position
We are looking for a Data Engineer to join our Maritime Ingress team, where you’ll build systems that power global maritime intelligence by processing massive volumes of real-time streaming data and delivering mission-critical insights used worldwide.

In this role, you will design and operate large-scale distributed systems that ingest and process continuously flowing data from diverse external sources and formats. You will tackle complex global data ingestion challenges while ensuring accuracy, reliability, and performance in platforms that support trusted, real-time maritime intelligence.

If you enjoy solving complex data challenges, building resilient large-scale systems, and working with real-time streaming architectures in a high-growth environment, this is an opportunity to make a meaningful global impact. Your work will directly contribute to delivering accurate and reliable maritime intelligence used by customers worldwide.

Your Mission Is To

  • Build and operate scalable batch and streaming data pipelines (e.g., Kafka, Spark), ensuring reliable ingestion, processing, and recovery in production environments.
  • Design and implement data quality and governance mechanisms including validation, lineage, and monitoring to ensure trusted and accurate datasets.
  • Develop observability and reliability tooling across data platforms using metrics, logs, traces, CI/CD, automated testing, alerting, and incident response.
  • Contribute to robust and scalable data architecture, applying software engineering best practices, reusable components, and clean design principles.
  • Collaborate with Product, Engineering, Analytics, and domain experts to translate requirements into scalable data solutions with measurable impact.
  • Participate in Agile delivery processes, including planning, estimation, reviews, and retrospectives, contributing to predictable and iterative delivery.
  • Continuously optimize performance, scalability, and cost efficiency across data pipelines, storage, and infrastructure.
  • Ensure security, privacy, and compliance standards are embedded in all data handling and processing workflows.

You could be a match if you are or have:

  • Data-focused software engineering background with production experience with stateful, large‑scale data systems.
  • Experience with streaming technologies such as Apache Kafka, Kafka Streams, and Apache Flink, as well as Avro and stateful data processing.
  • Programming experience in Java, Scala, Python, or similar (language flexible)
  • Strong understanding of distributed, event‑driven architectures
  • Strong debugging and performance optimization skills in data-intensive systems
  • Ownership, accountability, and a proactive, execution-focused mindset with strong pragmatic problem-solving.
  • Cross-functional collaboration with clear, structured communication, especially in ambiguous or fast-moving environments.

Desirable

  • Data‑pipeline orchestration and workflow management
  • Cloud infrastructure & infrastructure‑as‑code
  • Containerized microservices environments
  • JVM build‑system tuning (Gradle/Maven)

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?

We make things happen
We act decisively and with purpose, going the extra mile.

We build together
We foster relationships and develop creative solutions to address market challenges.

We are here to help
We are accessible and supportive to colleagues and clients with a friendly approach.

Our People Pledge
Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

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.

Site Reliability Engineer

Senior Python Software Engineer

WorldQuant

Budapestfulltime

Apply on the employer's site

Role description

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:
Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

What You’ll Bring
A successful candidate will possess:

  • A minimum of 7 years of writing production-quality code in Python on Linux platform
  • Candidate must be willing to learn C++. Experience in C++ is a strong plus
  • Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.
  • Strong understanding and experience with Linux system programming fundamentals
  • Ability to develop large-scale, distributed systems
  • Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
  • Self-motivated and able to work independently with minimal direction
  • Proficiency in English

An outstanding candidate will also have experience with one or more of:

  • Developing systems for managing and performing computation on large-scale graph data
  • Streaming / dataflow systems
  • Candidates need not have prior experience in financial services.

What We Offer

  • Competitive compensation package
  • Core benefits include: premium private health insurance and life insurance with savings plan
  • Support for every aspect of life through Employee Assistance Program and fully covered sick leave
  • Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences
  • Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams

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.

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.

27 more openings in this category and country

Principal Software Engineer (Python, AI)Diligent · Hungary

Apply on the employer's site