SENIOR CLOUD ENGINEER

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Senior Cloud Software Engineer (Lead)

Hiring Locations: Berlin, Cologne, Dusseldorf, Frankfurt, Hamburg, Hanover, Leipzig, Munich, Stuttgart

Salary: €70,000 - €85,000 + 17% bonus (up to €99,450 package)

Start Date: ASAP

Job Type: Permanent

Company Introduction

We have an exciting opportunity with one of our global leading clients. They are looking for a skilled cloud software engineer to join their Cloud Transformation & System Engineering team, supporting clients on their end-to-end cloud journeys.

Job Responsibilities/Objectives

As a Senior Cloud Software Engineer, you will contribute across the entire lifecycle of client projects, from initiation through to go-live. You will play a key role in designing adaptable cloud architectures in agile environments, championing clean code principles, and continuously improving infrastructure.

• Develop innovative cloud-based solutions and advise on future-ready strategies
• Implement proof-of-concepts and diverse architectural solutions
• Establish and promote best practices for testability, maintainability, and scalability
• Share expertise and mentor development teams
• Actively contribute to tech communities, conferences, and meet-ups

Required Skills/Experience

• Degree in IT-related disciplines (e.g., Informatics, Mathematics, Physics) or equivalent qualification/experience
• Proven experience in AWS, and Java, Python, or TypeScript.
• Skilled in microservices architecture, infrastructure-as-code (e.g. Terraform), and containerisation (Docker, Kubernetes)
• Proficient in CI/CD tools and practices (e.g. Git, Jenkins, GitHub Actions)
• Experience with scripting (e.g. PowerShell, Linux/Unix Shell) and enterprise cloud deployments
• Practical knowledge of interface development and database technologies (e.g. SQL, data warehousing)

Desirable Skills/Experience

• Familiarity with machine learning libraries and NLP technologies
• Bilingual fluency in English and German (minimum B2 level)
• Willingness to travel occasionally

Benefits & Perks

• Access to training and ongoing education through structured development and in-house university programmes
• Structured career progression with global mobility and project-based rotation options
• Family-friendly work policies including flexible hours, mobile working, and caregiver support
• Health and wellness initiatives, including fitness partnerships and sponsored events
• Attractive benefits such as car/bike leasing, smartphones for personal use, and EU remote working options
• Inclusive company culture with active diversity and inclusion networks

 Total Compensation: $350,000–$500,000 per year, comprising:

• Base Salary: $220,000–$300,000
• Equity: $100,000–$150,000 in RSUs annually (4-year vesting)
• Performance Bonus: $30,000–$50,000 (milestone-based) 
• Total Cash (Base + Bonus): $250,000–$350,000

Key Responsibilities

• Develop and deploy advanced machine learning algorithms, focusing on areas like natural language processing, computer vision, generative AI, and reinforcement learning.
• Build scalable ML pipelines to process large datasets, train models efficiently, and deploy them seamlessly in production.
• Work closely with data scientists, engineers, and product teams to integrate ML solutions into real-world applications.
• Conduct experiments to optimize model performance, applying creative approaches to enhance accuracy and efficiency.
• Deliver clean, secure, and scalable code that upholds the highest engineering standards.

Tech Stack

• Programming: Python, high-performance, and modular code.
• ML Frameworks: TensorFlow, PyTorch, and JAX for flexible, interoperable model development; scikit-learn for traditional ML tasks, ensuring no overlap in functionality.
• Data Processing: Apache Spark, Dask, and Ray for distributed data handling, selected for their complementary strengths in large-scale processing.
• Cloud Infrastructure: AWS (SageMaker, EMR, Lambda) as the primary platform, with optional support for Google Cloud and Azure, unified under a consistent deployment framework.
• Orchestration: Kubernetes, Airflow, and Argo Workflows, each chosen for distinct, non-redundant roles in automation and scalability.
• Version Control: Git with GitHub for streamlined, collaborative development.
• Monitoring: Prometheus, Grafana, and custom telemetry, integrated to provide real-time insights into models and systems.

Ideal Background

• Expert proficiency in Python and leading ML frameworks such as TensorFlow, PyTorch, and JAX.
• Deep knowledge of machine learning algorithms, including deep learning, generative models, and reinforcement learning.
• Hands-on experience with big data tools (e.g., Apache Spark, Ray) and cloud platforms (e.g., AWS, Google Cloud, Azure).
• Strong software engineering skills, including Git, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Research contributions, such as publications at leading conferences (NeurIPS, ICML, CVPR) or significant open-source projects.
• Expertise in MLOps tools like MLflow, Kubeflow, or TFX for managing the full model lifecycle.
• Advanced knowledge of NLP (e.g., Hugging Face Transformers) or computer vision (e.g., OpenCV, Detectron2).
• Experience optimizing models for edge devices or high-performance computing environments (e.g., NVIDIA GPUs).

Benefits

• 100% coverage for health, dental, and vision insurance.
• 401(k) with a 5% employer match.
• Unlimited PTO, with a minimum of 20 days encouraged.
• $5,000 annual wellness stipend and $3,000 for professional development.
• Relocation support up to $15,000 for candidates moving to San Francisco.
• 12 weeks of paid maternity and paternity leave.
• Commuter benefits up to $300 per month to offset San Francisco commuting costs.

Why Join 

• Exceptional Pay: A $350,000–$500,000 total package (above California’s average ML engineer base of $193,919) 
• Career Growth: Access mentorship, leadership opportunities, and resources to elevate your expertise.
• Inclusive Culture: Join a diverse, collaborative team dedicated to advancing AI in a hybrid work model (3 days in-office).

Package: €105,000 base + 26% bonus (OTE up to €132,300) + benefits

Languages Required: English & German (fluent)

Overview

We are supporting a global consultancy delivering high-value cloud transformation and system engineering solutions across the automotive, industrial, and financial sectors. This role is tailored for a senior-level engineer or consultant ready to step into a leadership role, managing hybrid technical teams, and driving the successful delivery of complex cloud-native environments for enterprise clients.

Key Responsibilities

• Lead system engineering teams (5-10 engineers) across multiple client engagements
• Oversee the design, deployment, and management of scalable cloud-native infrastructure on AWS and/or Azure
• Guide implementation of Infrastructure as Code using Terraform (or equivalent)
• Direct the development of CI/CD pipelines and drive automation best practices
• Own cloud migration strategies, containerisation rollouts, and backend integrations
• Act as escalation point for production incidents and system troubleshooting
• Collaborate with architects, developers, and DevOps leaders to align technical delivery with business goals
• Support junior engineers through mentoring, code reviews, and structured feedback
  

Tech Stack

• Languages: C#, Python, or Java
• Cloud Platforms: AWS or Azure
• Infrastructure & Containers: Docker, Kubernetes, Terraform
• CI/CD Tools: GitHub Actions, GitLab, Jenkins
• Monitoring & Logging: Grafana, Prometheus
  

Ideal Background

• Strong background in cloud-native system engineering and infrastructure delivery
• Prior experience leading technical teams in consultancy or complex enterprise settings
• Deep knowledge of cloud platforms (AWS or Azure) and modern infrastructure tooling
• Confident managing stakeholders and delivering in client-facing environments
• Bilingual: Fluent in English and German
• Comfortable working in agile and distributed team structures

Why Join

• Step into a high-visibility role leading transformation for tier-one clients 
• Manage delivery across diverse industries such as automotive, industrial, finance
• Autonomy in delivery with flexibility on remote/hybrid setup
• Clear path to progression with direct exposure to enterprise-level projects and decision-makers

Salary: €85,000 + 17% bonus (up to €99,450 total package) + benefits

Languages Required: English & German (fluent)

Overview

We’re hiring for a global leading consultancy supporting cloud transformation and system engineering projects across automotive, industrial, and finance sectors. This role will be ideal for system engineers who can operate across infrastructure, automation, and cloud, bringing clean, scalable solutions into client environments.

Key Responsibilities

• Design, deploy and manage cloud-native infrastructure (AWS)
• Implement Infrastructure as Code (Terraform or equivalent)
• Build CI/CD pipelines and automate environment provisioning
• Support cloud migrations, containerization, and backend integration
• Troubleshoot production systems and improve system performance
• Work closely with developers, architects, and DevOps engineers

Tech Stack

• Languages: C#, Python, or Java
• Cloud: AWS 
• Infrastructure: Docker, Kubernetes, Terraform
• CI/CD: GitHub Actions, GitLab, Jenkins
• Monitoring: Grafana, Prometheus

Ideal Background

• Experience in software engineering or infrastructure roles
• Experience with CI/CD pipelines and container orchestration
• Fluent in English & German

Why Join

• Work on high-impact cloud transformation projects across major sectors
• Fast progression and access to enterprise clients
• Hybrid flexibility with autonomy over how you deliver