Lead Java Software Engineer (m/w/d) (Leiter/in - Softwareentwicklung)

Über uns Unser Kunde ist ein etabliertes Unternehmen im Technologie-
und Versicherungsumfeld und sucht einen erfahrenen Lead Java Software
Engineer (m/w/d) für den Standort München, der die technische
Leitung spannender Entwicklungsprojekte übernimmt. Aufgaben
Verantwortung für die technische Leitung von Software-Projekten –
von der Anforderungsanalyse bis hin zur Implementierung und
Inbetriebnahme Definition und Umsetzung nachhaltiger
Softwarearchitekturen und -konzepte Koordination und Abstimmung mit
internen sowie externen Stakeholdern Gelegentliche Einsätze beim
Kunden vor Ort innerhalb des DACH-Raums Profil Fundierte Erfahrung in
der Softwareentwicklung mit Java, Spring Boot sowie React und Angular
Begeisterung für innovative Technologien Starke kommunikative
Fähigkeiten und Freude an der Zusammenarbeit mit Kunden und Teams
Interesse an einer zukünftigen Führungsverantwortung Wir bieten
Flexibles & modernes Arbeitsumfeld mit Remote-First-Ansatz und
Vertrauensarbeitszeit Weiterbildungsmöglichkeiten durch digitale
Lernplattformen und interne Schulungen Attraktive Benefits, darunter
betriebliche Altersvorsorge, Prämien uvm. Dynamisches Team mit
regelmäßigen Networking-Events und Teamveranstaltungen Kontakt Sie
sind bereit für eine neue Herausforderung? Dann bewerben Sie sich
heute noch für die Position als Lead Java Software Engineer (m/w/d)
in München! Das Format Ihrer Bewerbung entscheiden Sie (XING,
LinkedIn, pdf, Word, Video, PPT). Viel wichtiger ist unseren Mandaten
und uns Ihre Persönlichkeit. Wir freuen uns darauf, von Ihnen zu
lesen oder zu hören. Bei Fragen wenden Sie sich bitte jederzeit
persönlich an: Sabine Dillenberger,
sabine.dillenberger(at)falkengroup.de, +49 89 4444 3490-12. Ich freue
mich auf Ihre Bewerbung! Alle Unterlagen werden 100% vertraulich
behandelt und erst nach persönlicher Absprache mit Ihnen an unsere
Mandanten weitergeleitet.

Minimum qualifications:

- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development in C or C++.
- 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
- Experience in compiler construction or related fields.

Preferred qualifications:

- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
-
Experience working on or leading a team to work on a compiler stack, (e.g., Low Level Virtual Machines (LLVM)).

- Experience with Machine Learning (ML) frameworks, such as JAX/PyTorch/MLIR/TensorFlow etc.
- Experience working on HPC/GPU workloads.

About the Job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

The Core ML Foundations Compiler team builds Accelerated Linear Algebra (XLA) the compiler technology that powers machine learning frameworks at Google, which includes JAX, PyTorch/XLA and TensorFlow.

The compiler makes competitive performance possible on cutting-edge ML workloads like Gemini, LLaMa, Veo and next-generation Large-Language Models (LLMs).

In this role, you will contribute to and use JAX, PyTorch/XLA and TensorFlow infrastructure and own the CPU and Graphics Processing Unit (GPU) production ML compilers.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

- Lead and manage a team of Software Engineers to accelerate ML applications, like Large Language Models and Generative AI, to run at the fullest potential on GPUs.
- Enhance the GPU compiler software stack so that it performs faster and more efficiently on cutting-edge ML workloads.
- Launch new GPU optimizations, including performance and correctness testing.
- Foster deep collaboration between customers, partners (e.g., GPU manufacturers, researchers and others) and the GPU compiler team.
- Support and develop members of the team. Meet regularly with individuals to discuss performance and development and provide feedback and coaching while also growing the overall compiler team in Munich.

Google welcomes people with disabilities.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Munich, Germany; Milan, Metropolitan City of Milan, Italy.

Minimum qualifications:

- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 5 years of experience managing a technical customer-facing team in a cloud computing environment in the field of AI.
- Experience with the application of AI solutions in contact centers and customer engagement.

Preferred qualifications:

- MBA or Master's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- Ability to craft a compelling message and tailor it for a given audience.
- Ability to mix technical experience with simple, everyday language to deliver a story that is memorable, useful, and demonstrates business and technical value to customers.

About the Job

****

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

As an Applied AI CE Manager, you will leverage your experience and thought leadership in the field of AI, Customer Engagement, and Contact Centers, to lead a team of Customer Engineers in business-generating activities, working with the broader Google Cloud AI team, our customers and partners. You will leverage your expertise in Customer Engagement AI and Contact Center AI. You will guide your team in utilizing Google Cloud's Customer Engagement Suite technologies, which include Contact Center AI and related Customer Engagement AI Services. You will partner with AI-native companies and large enterprises, providing consultative guidance with your team.

In this role, you will help customers translate their business needs and technical environment to AI solution requirements, demonstrate product value to customers, help ensure partners are enabled on the latest technology, and work with the product and engineering teams to ensure field readiness and influence roadmap. You will also be responsible for the EMEA Applied AI technical community, and work closely with the broader AI technical and sales teams to develop the go-to-market strategy and plans. You will build relationships with other Google teams and with external customer stakeholders, identifying innovative ways to scale the impact of the team as a whole.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

- Lead, develop, and nurture a team to engage with AI Natives and large enterprise customers on AI-driven transformation journey.
- Collaborate with customers, demonstrate business value from the Google Cloud Applied AI products, prove technical viability, and create a path to business. 
- Develop and nurture relationships with technical leaders at customers, and lead customer conversations at leadership and executive level.
- Work closely with internal stakeholders, such as the Applied AI product and engineering team and the Applied AI sales team, to prioritize customer needs, and bring new product innovations to customers and with the Google Applied AI Sales leaders to prioritize and plan customer activities.
- Stay abreast of the latest AI news and innovations, as well as engaged offerings, so as to lead by example and be a trusted AI advisor to customers.

Google welcomes people with disabilities.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Munich, Germany; Milan, Metropolitan City of Milan, Italy.

Minimum qualifications:

- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 5 years of experience managing a technical customer-facing team in a cloud computing environment in the field of AI.
- Experience with the application of AI solutions in contact centers and customer engagement.

Preferred qualifications:

- MBA or Master's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- Ability to craft a compelling message and tailor it for a given audience.
- Ability to mix technical experience with simple, everyday language to deliver a story that is memorable, useful, and demonstrates business and technical value to customers.

About the Job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

As an Applied AI CE Manager, you will leverage your experience and thought leadership in the field of AI, Customer Engagement, and Contact Centers, to lead a team of Customer Engineers in business-generating activities, working with the broader Google Cloud AI team, our customers and partners. You will leverage your expertise in Customer Engagement AI and Contact Center AI. You will guide your team in utilizing Google Cloud's Customer Engagement Suite technologies, which include Contact Center AI and related Customer Engagement AI Services. You will partner with AI-native companies and large enterprises, providing consultative guidance with your team.

In this role, you will help customers translate their business needs and technical environment to AI solution requirements, demonstrate product value to customers, help ensure partners are enabled on the latest technology, and work with the product and engineering teams to ensure field readiness and influence roadmap. You will also be responsible for the EMEA Applied AI technical community, and work closely with the broader AI technical and sales teams to develop the go-to-market strategy and plans. You will build relationships with other Google teams and with external customer stakeholders, identifying innovative ways to scale the impact of the team as a whole.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.* Lead, develop, and nurture a team to engage with AI Natives and large enterprise customers on AI-driven transformation journey.

- Collaborate with customers, demonstrate business value from the Google Cloud Applied AI products, prove technical viability, and create a path to business.
- Develop and nurture relationships with technical leaders at customers, and lead customer conversations at leadership and executive level.
- Work closely with internal stakeholders, such as the Applied AI product and engineering team and the Applied AI sales team, to prioritize customer needs, and bring new product innovations to customers and with the Google Applied AI Sales leaders to prioritize and plan customer activities.
- Stay abreast of the latest AI news and innovations, as well as engaged offerings, so as to lead by example and be a trusted AI advisor to customers.

Minimum qualifications:

- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with data structures or algorithms.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with people management, designing, analyzing, and troubleshooting distributed systems.

Preferred qualifications:

- Experience working in computing, distributed systems, storage, or networking.
- Experience designing, analyzing, and troubleshooting distributed systems.
- Ability to debug, optimize code, and to automate routine tasks.
- Excellent  problem-solving, verbal, and written communication skills.

About the Job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services—both our internally critical and our externally-visible systems—have reliability,  uptime appropriate to users' needs and a fast rate of improvement.  Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance. Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation.

On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.

SRE's culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

To learn more: check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.

As an Engineering Manager, you'll lead a team and be responsible for products globally, providing technical leadership to key projects and empowering and developing teams.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

- Lead a team of Software/Systems Engineers on projects for users and be responsible for uptime.
- Own availability and performance of key services, build automation to prevent problem recurrence, and automate response to all non-exceptional service conditions.
- Lead by example, mentor the team, and establish credibility through quality technical execution.
- Manage on-call rotations across continents, using a follow-the-sun model.
- Design, write, and deliver software to improve the availability, scalability, latency and efficiency of Google's services.

Minimum qualifications:

- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 1 years of experience in a leadership role (e.g., technical leadership or people management, supervision, or team leadership).
- Experience with project planning.

Preferred qualifications:

- Master's degree or PhD in Computer Science or related technical field.
- 1 year of experience working in a changing organization.
- Experience with automotive engineering.

About the Job

Like Google's own ambitions, the work of a Software Engineer (SWE) goes way beyond just Search. SWE Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a SWE Manager you manage your project goals, contribute to product strategy and help develop your team. SWE teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

To learn more about Geo, check out our video.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

- Set and communicate team priorities that support the broader organization's goals, align strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals, meet regularly with individuals to discuss performance and development, and provide feedback and coaching.
- Help develop and drive the short-term technical idea and roadmap within the scope of the team, and evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Design, guide, and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
- Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Unternehmensbeschreibung

Wir sind die Gestalter von heute für die Welt von morgen.

Als einer der weltweit führender Entwicklungsdienstleister setzen wir uns bei ALTEN dafür ein, die Zukunft unserer Partner, die Karrieren unserer Mitarbeiter und die Herausforderungen für unsere Gesellschaft und Umwelt positiv zu gestalten.

Mehr als 50.000 Mitarbeiter in 30 Ländern arbeiten schon heute an innovativen Lösungen in verschiedenen Ingenieur- und IT-Branchen wie Automobil, Luft- und Raumfahrt, erneuerbare Energien, Medizintechnik und Bahntechnik.

Sie durch Ihr technisches Know-how punkten können? Dann verstärken Sie unser Team!

Stellenbeschreibung

DU...

- entwirfst und realisierst modellbasierte Softwarefunktionen für Antriebe in der Automobilindustrie
- analysierst vorgegebene funktionale Anforderungen und entwickelst Funktions- sowie Softwarespezifikationen unter Berücksichtigung von Funktionsschnittstellen
- überträgst neue Funktionen auf Simulationsumgebung und führst Simulation auf Modellebene durch
- erzeugst das Seriencodes mit Hilfe von Werkzeugen zur automatischen Codegenerierung (z. B. Simulink)
- integrierst das neue Softwarepaket auf dem Steuergerät, führst automatisierte Funktions- und Softwaretests im Fahrzeug bzw. HiL-Prüfstand durch,  übernimmst die Fehleranalyse sowie das Debugging

Qualifikationen

DU...

- hast ein abgeschlossenes Studium der Informatik, Elektrotechnik, Mechatronik oder vergleichbarer Studiengang
- bringst erste Erfahrung in der Funktions- und Softwareentwicklung im Automotive Umfeld vorzugsweise im Bereich Antriebe wie Elektroantrieb oder Hybridantrieb mit
- verfügst Kenntnisse in der modellbasierten Softwareentwicklung mit Matlab/Simulink und verwendest bereits Werkzeuge zur automatischen Codegenerierung
- hast idealerweise Erfahrung mit Technologien und Standards in der Softwareentwicklung für Automotive-Steuergeräte z. B. V-Modell, ASPICE, AUTOSAR
- verfügst über gute Deutsch- und Englischkenntnisse

Wir wertschätzen Vielfalt und begrüßen daher alle Bewerbungen – unabhängig von Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion / Weltanschauung, Behinderung, Alter sowie sexueller Orientierung und Identität.
Schwerbehinderte werden bei gleicher Eignung bevorzugt berücksichtigt.

Noch offene Fragen?

Dann melde dich bei mir: Ilinka Stojkova (Tel.: +49 89 255552-275)

Oder bewerbe dich jetzt über unser Online-Bewerbungsformular.

Zusätzliche Informationen

- Talent Management – wir entwickeln deine Karriere
- Work Life Balance – flexible Arbeitszeiten und mobiles Arbeiten möglich
- Fit and relaxed – mit EGYM Wellpass
- Enjoy biking – immer on tour mit Dienstradleasing
- Green Mobility – mit uns bist du vergünstigt unterwegs

…und natürlich bieten wir die üblichen Standards wie 28 Tage Urlaub, viele Events, unbefristeter Arbeitsvertrag und Corporate Benefits.

Die Reply Deutschland SE ist ein führendes Unternehmen im Bereich der digitalen Transformation und Technologieberatung. Mit innovativen Lösungen und umfangreicher Expertise unterstützen wir unsere Kunden dabei, ihre Geschäftsmodelle zu optimieren und sich erfolgreich in einer zunehmend digitalen Welt zu positionieren. Von der strategischen Beratung über die Entwicklung und Implementierung maßgeschneiderter Lösungen bis hin zu Managed Services bieten wir unseren Kunden ein breites Spektrum an Dienstleistungen. Unser hochqualifiziertes Team aus IT-Experten, Beratern und Projektmanagern arbeitet engagiert daran, innovative Lösungen zu entwickeln und zum Erfolg unserer Kunden beizutragen.\n\nWir suchen einen motivierten Softwareentwickler, um unserem Team beizutreten. In dieser Rolle sind Sie verantwortlich für die Entwicklung und Wartung von Softwarelösungen. Sie arbeiten eng mit anderen Entwicklern zusammen, um qualitativ hochwertigen Code zu erstellen. Sie analysieren Anforderungen, entwerfen und implementieren Softwarelösungen und führen Tests durch, um sicherzustellen, dass sie den Anforderungen entsprechen. Ihre Aufgaben umfassen auch das Debuggen und Beheben von Programmfehlern sowie das Verwalten von Versionskontrollen. Erfahrung in der Entwicklung von Java-, C++- oder anderen Programmiersprachen ist von Vorteil. Ein solides Verständnis von Softwareentwicklungsmethoden und -werkzeugen ist wünschenswert. Sie sollten eine Leidenschaft für Innovation und das Streben nach technischer Exzellenz haben.