Senior System Analyst (Platform) (Hybrid or Remote)

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

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.

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.

Business Area:
Engineering

Seniority Level:
Mid-Senior level

Job Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

We are seeking a Staff Engineer with a full-stack mentality to join our Public Cloud team. This is a mission-critical role within an impactful team of five, focused on the Cloudera Data Platform across the three major cloud providers (AWS, Azure, and GCP).

We need a seasoned Full-stack Engineer, who views software through the lens of the entire software development lifecycle. You will be a "self-enabler" who takes full ownership of features and architectural designs, in addition to the coding, ownership of features and architectural designs, release process, and takes testing and quality gates seriously.

Our ideal candidate will go to extremes when it comes to complex issues, such as starting up a VM/container to debug, and understands that a great profile involves both coding and deployment.

As a Staff Software Engineer, you will...

• Lead Image Management: Drive the development of tooling for VM image creation, management, and release across AWS, Azure, and GCP.
• Architectural Design: Provide high-level architectural planning and contribute at a Senior Staff level by independently leading major features.
• Drive Configuration as Code: Manage infrastructure and configuration using tools like Ansible, Salt, and Packer.
• Collaborate and Innovate: Work within a diverse set of tasks to deliver scalable, high-availability solutions for large-scale distributed systems.

We are excited if you have...

• Strong Generalist Background: A robust development background combined with DevOps and Full-stack experience.
• Programming Skills: Proficiency in Python and/or Go.
• Experience with configuration management tools such as Ansible, Salt, Packer or similar.
• Linux & DevOps Mastery: Deep knowledge of Linux environments and a "DevOps" mindset where you take responsibility for the full lifecycle, including deployment.
• Distributed Systems Knowledge: An understanding of large-scale systems design, including scaling, replication, consistency, and high availability.
• Self-Driven Leadership: The ability to act as a "self-enabler," taking individual ownership of complex features without needing constant tech-lead supervision.
• Proven ability to diagnose and resolve challenging issues in large-scale, distributed cloud environments.

You may also have...

• Cloud & Infrastructure Proficiency: Hands-on experience with at least one major cloud provider (AWS/Azure/GCP).
• Experience with large-scale, distributed systems design and development with an understanding of scaling, performance, and scheduling.
• Proactive problem-solving ability, to work independently, identify, define, and drive projects forward with minimal guidance.
• Excellent communication skills and the ability to collaborate with cross-functional teams across different geographies.
• Passion for coaching and developing team members to achieve their full potential.

This role is not eligible for immigration sponsorship.

What you can expect from us:

• Generous PTO Policy
• Support work life balance with Unplugged Days
• Flexible WFH Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement program
• Access to Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Paid Volunteer Time
• Employee Resource Groups

EEO/VEVRAA