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Site Reliability Engineer

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Site Reliability Engineer

Senior Site Reliability Engineer | Platform Engineering & Developer Experience

Criteo

Remotefulltimesenior

Apply on the employer's site

Role description

What You'll Do:

The Platform Factory group empowers Criteo engineers to code, build, test, deploy, faster, safer, and smarter.

Within Platform Factory, the Codex (Code & Development Experience) team builds and operates the coding platform of every engineer at Criteo. From containerized development environments in local and remote modes to code management with hosting, review, search, and ownership, all AI-powered, the team provides the services and tools that enable engineers during their very first steps in their software development life circle efficiently and at scale.

As a Senior Site Reliability Engineer, you'll help shape the future of software development at Criteo by building highly reliable platforms, improving developer productivity, and enabling modern engineering practices.

What You'll Do

Build and Operate Developer Platforms

  • Design, build, and evolve the platform that powers software development across Criteo.
  • Operate and improve critical systems including source code management and remote development environments.
  • Ensure reliability, scalability, security, and performance for services used daily by engineering teams worldwide.
  • Support the adoption of modern developer workflows and AI-assisted development tools.

Automation & Platform Engineering

  • Develop platform services, APIs, and integrations that simplify software development and delivery.
  • Build automation and self-service capabilities that allow engineering teams to move faster while maintaining high operational standards.
  • Improve integrations with CI/CD and other internal platforms.
  • Contribute to the evolution of our Containerized and Kubernetes-based infrastructure.

Reliability & Continuous Improvement

  • Own the full reliability lifecycle of the platforms you support: monitoring, incident response, troubleshooting, root cause analysis, and long-term remediation.
  • Define and implement best practices around observability, automation, capacity planning, and platform security.
  • Continuously reduce operational toil through engineering and automation.
  • Drive platform modernization initiatives and technical improvements.

Collaboration & Technical Leadership

  • Partner closely with software engineers, ML engineers, data scientists, and platform teams to improve the overall developer experience.
  • Contribute to technical strategy and architectural decisions.
  • Share knowledge, mentor peers, and help define engineering best practices.
  • Document systems and processes to improve platform adoption and operational excellence.

Why Join Us?

Every line of code written at Criteo starts its journey through the Codex team’s services. You'll have a direct impact on the daily experience of hundreds of engineers while helping shape the future of developer productivity through our platforms, automation, and AI-assisted development.

Who You Are:

Technical Background

  • Master's degree in computer science or equivalent experience.
  • 5+ years of experience in SRE, Platform Engineering, DevOps, Software Engineering, or distributed systems.
  • Strong software development skills in Go, Python, C#, Ruby, or similar languages.
  • Solid understanding of distributed systems, cloud infrastructure, APIs, scalability, reliability, and software engineering best practices.
  • Experience building or operating large-scale engineering platforms or infrastructure services.
  • Power user on AI-assisted development practices

Infrastructure & Operations

  • Strong experience with Linux server environments.
  • Hands-on experience with containers and orchestration technologies such as Kubernetes.
  • Familiarity with CI/CD, infrastructure-as-code, and automation practices.
  • Experience operating developer platforms, source code management systems
  • Passion for automation, observability, reliability, and reducing operational complexity.

Nice to Have

  • Experience with Gerrit or Gitlab administration and operations.
  • Familiarity with developer productivity platforms, remote development environments, or AI coding assistants.
  • Experience supporting large engineering organizations.

Soft Skills

  • Excellent communication and collaboration skills.
  • Strong ownership mindset and problem-solving abilities.
  • Passion for improving developer productivity and engineering efficiency.
  • Comfortable operating critical platforms at scale.
  • Willingness to participate in the team's on-call rotation.

We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!

Who We Are:

We’re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses.

At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment.

We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs—never on non-job-related factors or legally protected characteristics.

What We Offer:

🏢 Ways of working – Our hybrid model blends home with in-office experiences, making space for both.

📈 Grow with us – Learning, mentorship & career development programs.

💪 Your wellbeing matters – Health benefits, wellness perks & mental health support.

🤝 A team that cares – Diverse, inclusive, and globally connected.

💸 Fair pay & perks – Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.

Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo.

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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Draw rules

Site Reliability Engineer

Python Software Engineer (Remote)

NTT DATA North America

Remotefulltime

Apply on the employer's site

Role description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring, the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.

We are currently seeking a Python Software Engineer (Remote) to join our team in Bucuresti, București (RO-B), Romania (RO).

Overview
NTT DATA Inc is expanding its internal cybersecurity capabilities and is seeking a Senior Python Software Engineer to join the Office of Information Security that forms part of our Global Functions team. Based in Romania, this role is part of the Security DevOps team, which is responsible to help build and evolve our internal platform and support critical security operations applications. Using modern Python tools and frameworks, this incumbent will deliver scalable, secure, and high-performance backend systems, and automation workflows.

Job Responsibilities Include:

  • Design, develop, and optimize Python-based microservices for our internal platform and supporting infrastructure
  • Write clean, reusable, and well-documented code and libraries
  • Ensure application performance, scalability, and reliability across environments
  • Implement and maintain build processes using PANTS, UV, or other modern Python build tools
  • Apply secure coding practices and contribute to platform compliance with internal security standards
  • Work closely with DevOps, product, and design teams to ship secure, reliable features
  • Conduct code reviews and share best practices with peers
  • Stay current with emerging technologies, frameworks, and best practices in Python and secure software development

Basic Qualifications:

  • Proficiency in frameworks and libraries such as FastAPI, Flask, and SQLAlchemy
  • Experience with PANTS, UV, or similar build systems
  • Solid understanding of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes)
  • Experience with Git and Agile development methodologies
  • Experience with automated testing frameworks and writing unit/integration tests
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Knowledge of observability tools (e.g., Prometheus, Grafana)
  • Familiarity with infrastructure-as-code tools (e.g., Terraform, Pulumi)
  • Exposure to security and compliance practices in software development
  • Experience with Python type checking (e.g., MyPy) and linting tools (e.g., Flake8, Black)
  • Familiarity with asynchronous programming and event-driven architecture
  • Familiarity with AI augmented development workflows.

Preferred Skills:

  • 5+ years of professional experience in Python software development.
  • Bachelor's degree in computer science or software engineering
  • Certifications in Python development, cloud technologies, or DevOps

About NTT DATA
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact\-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact\-us.
This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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

DevSecOps Engineer Softwareentwicklung (m/w/d)

Deloitte

Remotefulltime

Apply on the employer's site

Role description

Deloitte bietet führende Prüfungs- und Beratungsleistungen in Audit & Assurance, Tax & Legal, Consulting und Advisory - für nahezu 90 % der Fortune Global 500® und zahlreiche private Unternehmen. Wir liefern innovative Denkansätze, lösen komplexe Herausforderungen und fördern nachhaltiges Wachstum. Mit rund 470.000 Mitarbeitenden weltweit eröffnen wir hervorragende Karrierechancen - getragen von einem starken „Wir“ und einer Vielfalt an Perspektiven und Fähigkeiten.

Du willst im Bereich
Strategy, Risk & Transactions – Advisory – Digital Risk
unsere Kunden dabei unterstützen, digitale Risiken in Chancen zu verwandeln? Unser Team entwickelt innovative Services, um digitale Risiken zu reduzieren, Bedrohungen zu vermeiden und das Wachstum unserer Mandanten durch eine risikovermeidende Digitalisierung zu fördern. Sichere unseren gemeinsamen Erfolg und mach mit uns den Unterschied: als
DevSecOps Engineer Softwareentwicklung (m/w/d).
Standorte:
Berlin
, Düsseldorf
, Frankfurt (Main)
, Hamburg
, Hannover
, Köln
, Leipzig
, Mannheim
, München
, Nürnberg
und Stuttgart
.

Dein Impact:
Als
DevSecOps Engineer Softwareentwicklung (m/w/d)
spielst du eine Schlüsselrolle bei der Entwicklung und Sicherstellung der Qualität und Sicherheit in komplexen Softwareentwicklungsprojekten.

  • Continuous Integration/Continuous Deployment (CI/CD): Du bist für den effektiven Setup des CI/CD Prozesses verantwortlich und implementierst bzw. pflegst CI/CD-Pipelines.
  • Sicherheitsarchitektur: Durch die Integration adäquater Sicherheitsmaßnahmen in den Softwareentwicklungszyklus stellst du ein angemessenes Sicherheitsniveau sicher.
  • Automatisierung: Durch die kontinuierliche Erhöhung des Automatisierungsgrads im Softwareentwicklungszyklus steigerst du Effizienz und Qualität und trägst zur Einhaltung von Sicherheitsrichtlinien bei.
  • Monitoring & Troubleshooting: Durch konstantes Monitoring von Anwendungen und Infrastruktur erkennst du Probleme frühzeitig und vermeidest Unterbrechungen bei der Softwareentwicklung.
  • Kollaboration: Du arbeitest eng mit Entwicklern und Betriebsteams zusammen, um eine gemeinsame Verantwortung für den Anwendungslebenszyklus zu schaffen.

Dein Skillset:

  • Abschluss eines MINT-Studiengangs oder eine vergleichbare Ausbildung und mindestens 2 Jahre Berufserfahrung im Bereich Softwareentwicklung
  • Technisches Verständnis der Abläufe in der Softwareentwicklung und Praxiserfahrung in mindestens einer gängigen Programmiersprache (z. B. Java, Python, C#)
  • Erfahrung mit agilen Softwareentwicklungsprozessen (z. B. Scrum, SAFe) und den daraus resultierenden Anforderungen an das technische Setup der Entwicklungsinfrastruktur
  • Versierter Umgang mit typischen Tools im Bereich DevOps und Container-Virtualisierung wie GIT, Maven, Jenkins, Ansible, Kubernetes, Docker, etc.
  • Deutsch und Englisch sehr gut in Wort und Schrift. Reisebereitschaft ist nicht erforderlich.

Deine Chance:

  • Best-in-class Weiterbildung an der Deloitte University sowie im Rahmen individueller Qualifikationsangebote und Trainings
  • Umfassende Entwicklungschancen durch strukturierte Karriereplanung, Inclusive Leadership, Entsendungsprogramme, projektbasierte Job-Rotation sowie Förderung sozialen Engagements und Corporate Volunteering
  • Vereinbarkeit von Beruf & Familie dank Mobile Working & Teilzeit, Sabbaticals und Familienservice, z. B. zur Unterstützung für pflegende Angehörige, Elternzeit-Beratung und vielem mehr
  • Gesundheit & Fitness im Fokus durch regelmäßige Gesundheitstage, Kooperationen mit Fitness-Anbietern und die Unterstützung von Sport- und Teamevents
  • Attraktive Arbeitgeberleistungen inklusive Bike- und Pkw-Leasing, Firmen-Smartphone zur privaten Nutzung sowie flexiblen Arbeitsmodellen wie z. B. Vertrauensarbeitszeit und EU Remote Working
  • Vielfältige Gestaltungsspielräume und aktive Förderung einer inklusiven Unternehmenskultur - u. a. durch unsere Diversity & Inclusion Mitarbeiter:innen-Netzwerke

Bist du bereit? Mach mit uns den Unterschied!
Unser Recruiting-Team freut sich auf deine Bewerbungsunterlagen (CV sowie Abitur-, Hochschul- und Arbeitszeugnisse) über unser Online-Formular. Ein Anschreiben und ein Bewerbungsfoto sind bei uns nicht erforderlich.

Gleiche Chancen für alle:
Wir freuen uns über Bewerbungen von Menschen, die so vielfältig sind wie wir – unabhängig von Alter, Behinderung, ethnischer Herkunft und Nationalität, Geschlecht, Religion, sexueller Orientierung oder sozialer Herkunft.
Noch Fragen?
Alle Infos zu unserem Bewerbungsprozess findest du in unseren
Bewerbungs-FAQs
.

Dein Kontakt bei Fragen rund um Karrierethemen
Unser Team Talent Acquisition – Aleksandra, Anja, Julia, Lea, Lisa, Silja und ihre Teams – unterstützt dich gerne bei allen Fragen rund um deine Karriere bei Deloitte. Du erreichst uns per E-Mail unter career@deloitte.de oder telefonisch unter +49 211 87724111.

Job-ID: 48450

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

Staff Software Engineer - C++

ABBYY

Remotefulltimelead

Apply on the employer's site

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:
ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.

Job Responsibilities:

  • Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
  • Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
  • Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
  • Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
  • Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
  • Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
  • Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.

Job Requirements:

  • 10–13 years of professional software engineering experience with deep expertise in C++
  • Demonstrated ability to work with multiple programming languages, and willingness to work with both C# .NET and C++
  • Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
  • Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
  • Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
  • Experience leading technical design reviews and influencing architectural decisions across team and product boundaries

Desired Qualifications

  • Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
  • Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
  • Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
  • Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
  • Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Salary Range:
The anticipated base salary range for this position is between
25,000,000 HUF and 26,000,000 HUF annually
. Base salary ranges may vary by geographic location and relevant experience, education, certifications, and seniority compared to others performing substantially similar work. There is no guarantee that an offer will be at the top of the posted range, as compensation decisions are based on a variety of factors including, but not limited to, skills, qualifications, and internal equity.

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.

Site Reliability Engineer

MLOps Engineer (AWS)

Warner Bros. Discovery

Remotefulltime

Apply on the employer's site

Role description

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the
storytellers
bringing our characters to life, the
creators
bringing them to your living rooms and the
dreamers
creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

PL

To Stanowisko...

Ze względu na dynamiczny rozwój Data & AI Engineering poszukujemy osoby na

stanowisko MLOps Engineer (AWS)

Zakres Obowiązków...

  • Budowanie, rozwijanie i utrzymywanie rozwiązań MLOps w środowisku chmurowym AWS
  • Ścisła współpraca z zespołami AI i Cloud
  • Automatyzacja procesów wdrażania, trenowania i monitorowania modeli uczenia maszynowego (CI/CD dla ML)
  • Tworzenie i zarządzanie infrastrukturą ML w chmurze (Infrastructure as Code, Terraform)
  • Zapewnienie wysokich standardów bezpieczeństwa, skalowalności i dostępności rozwiązań ML
  • Praca z rozwiązaniami chmurowymi przy użyciu nowoczesnych podejść, z dużym potencjałem rozwoju umiejętności
  • Realizacja ciekawych projektów we współpracy z partnerami wewnętrznymi i zewnętrznymi
  • Identyfikacja nowych rozwiązań/narzędzi aktywnie wspierających biznes w osiąganiu celów
  • Utrzymywanie odpowiednich standardów rozwoju programowania

Nasze Oczekiwania...

  • Minimum trzy lata doświadczenia w MLOps Cloud (preferowane AWS)
  • Doświadczenie w budowaniu i utrzymywaniu rozwiązań chmurowych (preferowane AWS)
  • Doświadczenie w budowaniu rozwiązań opartych na kontenerach (Docker/Kubernetes)
  • Umiejętności i podejście DevOps (CI/CD, IaaC – Terraform, podejście „automate everything”)
  • Znajomość narzędzi CI/CD (GitHub Actions, Jenkins)
  • Doświadczenie w monitorowaniu i zarządzaniu cyklem życia modeli ML
  • Dodatkowa znajomość przynajmniej jednego języka programowania (preferowany Python)
  • Znajomość SQL
  • Wykształcenie wyższe (preferowany profil techniczny)
  • Znajomość języka angielskiego na poziomie minimum B2
  • Znajomość języka polskiego na poziomie minimum C1
  • Orientacja na pracę zespołową, zaangażowanie i chęć dzielenia się wiedzą
  • Samodzielność i chęć rozwoju
  • Lokalizacja: część pracy musi być wykonywana w siedzibie firmy w Warszawie

Oferujemy...

  • Współpracę w międzynarodowym środowisku, w największej prywatnej grupie medialnej w Polsce, będącej częścią amerykańskiego koncernu medialnego Warner Bros Discovery
  • Szerokie możliwości rozwoju zawodowego z wykorzystaniem nowoczesnych technologii
  • Możliwość zakupu prywatnej opieki medycznej oraz karty sportowej na preferencyjnych warunkach
  • Unikalną kulturę organizacyjną, która ceni różnorodność i otwartość

EN

Your New Role…
 

Due to the dynamic development of Data & AI Engineering department, we are looking for an MLOps Engineer (AWS)

Your Role Accountabilities…
 

  • Building, developing, and maintaining MLOps solutions in the AWS Cloud environment
  • Close cooperation with AI and Cloud teams
  • Automating the deployment, training, and monitoring processes for Machine Learning models (CI/CD for ML)
  • Creating and managing ML infrastructure in the cloud (Infrastructure as Code, Terraform)
  • Ensuring high standards of security, scalability, and availability for ML solutions
  • Working with Cloud solutions using modern approaches, with great potential for skill development
  • Carrying out interesting projects in cooperation with internal and external partners
  • Identifying new solutions/tools to actively support business in achieving goals
  • Maintaining appropriate software development standards

Qualifications & Experience…

  • Minimum three years of experience in MLOps Cloud (preferably AWS).
  • Experience in building and maintaining Cloud solutions (preferably AWS).
  • Experience in building container-based solutions (Docker/Kubernetes).
  • DevOps skills and mindset (CI/CD, IaaC – Terraform, “automate everything” approach).
  • Knowledge of CI/CD tools (GitHub Actions, Jenkins).
  • Experience in monitoring and managing the lifecycle of ML models.
  • Additional knowledge of at least one programming language (Python preferred).
  • Knowledge of SQL.
  • Higher education (preferably technical profile).
  • English language proficiency at minimum B2 level.
  • Polish language proficiency at minimum C1 level.
  • Team-oriented, engaged, and willing to share knowledge
  • Independence and willingness to develop.
  • Location: some work needs to be carried out at the Company's headquarters in Warsaw.

We offer...

  • Collaboration in an international environment, within the largest private media group in Poland, which is part of the American media conglomerate Warner Bros Discovery.
  • Broad opportunities for professional development using modern technologies.
  • Possibility to purchase private medical care and a sports card on preferential terms.
  • Unique organizational culture that values diversity and openness.

Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you.

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at

www.wbd.com/guiding\-principles/

along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our

accessibility page

for instructions to submit your request.

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