📍 Job Overview

Job Title: Senior Systems Software Engineer
Company: Effixis, an Artefact company
Location: Lausanne, Vaud, Switzerland
Job Type: On-site
Category: Senior DevOps Engineer / System Administrator
Date Posted: 2025-06-13
Experience Level: 5-10 years
Remote Status: On-site

🚀 Role Summary

Lead the design and implementation of scalable, reliable software systems using cutting-edge technologies and AI-driven applications.
Collaborate with multicultural, multidisciplinary teams and clients to deliver tailored solutions that exceed expectations.
Manage projects and teams, fostering a culture of excellence and continuous improvement.
Stay ahead of technological trends and integrate emerging technologies into best practices.

📝 Enhancement Note: This role requires a strong background in software systems engineering, DevOps methodologies, and AI-driven environments. The ideal candidate will have a proven track record of managing complex projects and teams, delivering innovative solutions, and promoting best practices.

💻 Primary Responsibilities

System Design and Implementation: Architect and implement scalable, reliable software systems that adhere to the highest standards in DevOps, containerization, orchestration, and cloud technologies.
Deployment and Optimization: Utilize Docker, Kubernetes, and Terraform to deploy robust applications and ensure their optimal performance and reliability.
Project and Team Leadership: Manage multidisciplinary teams, guiding them to deliver projects that meet and exceed quality standards, timelines, and client expectations.
Client Engagement: Collaborate closely with clients to understand their needs and provide innovative, tailored solutions that maximize the potential of AI-powered systems.
Promote Best Practices: Establish and uphold industry best practices and company standards across all engineering activities.
Stay Ahead of Technological Trends: Monitor and adopt emerging technologies to maintain Effixis’ position at the forefront of the AI and software engineering landscape.

📝 Enhancement Note: This role requires a deep understanding of software systems engineering, DevOps methodologies, and AI-driven environments. The ideal candidate will have experience managing complex software deployment projects and leading diverse teams to success.

🎓 Skills & Qualifications

Education: A Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Relevant experience may substitute for formal education.

Experience: At least 4 years of experience in software systems engineering, particularly in AI-driven environments and consulting. Proven track record of managing projects and teams, delivering tailored solutions that exceed client expectations.

Required Skills:

Proficient in DevOps methodologies, Docker, Kubernetes, Terraform, and cloud platforms (e.g., AWS, Azure, GCP).
Strong leadership skills with experience managing projects and teams.
Excellent communication and interpersonal skills, enabling effective collaboration with team members and impactful client interactions.
Demonstrated ability to solve intricate technical challenges and innovate within the software engineering field.
Steadfast commitment to delivering excellence and fostering a culture of continuous improvement.

Preferred Skills:

Experience in AI and machine learning environments.
Familiarity with data pipelines and data processing frameworks (e.g., Apache Beam, Apache Kafka, Apache Spark).
Knowledge of infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation).
Experience with CI/CD pipelines and DevOps tools (e.g., Jenkins, GitLab CI, CircleCI).

📝 Enhancement Note: This role requires a strong foundation in software systems engineering, with significant experience in DevOps, Docker, Kubernetes, Terraform, and cloud platforms. The ideal candidate will have a proven track record of managing complex software deployment projects and leading diverse teams to success.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A portfolio showcasing your experience in software systems engineering, highlighting your ability to design and implement scalable, reliable systems.
Examples of successful project management, demonstrating your ability to lead teams and deliver projects that meet and exceed quality standards, timelines, and client expectations.
Documentation of your involvement in AI-driven environments and your understanding of emerging technologies.

Technical Documentation:

Code quality, commenting, and documentation standards.
Version control, deployment processes, and server configuration.
Testing methodologies, performance metrics, and optimization techniques.

📝 Enhancement Note: This role requires a strong portfolio demonstrating your experience in software systems engineering, project management, and AI-driven environments. Your portfolio should showcase your ability to design and implement scalable, reliable systems and lead teams to deliver successful projects.

💵 Compensation & Benefits

Salary Range: CHF 120,000 - CHF 160,000 per year (Based on experience and market research for Senior Systems Software Engineers in Lausanne, Switzerland)

Benefits:

Competitive compensation and benefits package.
A pivotal role in shaping the future of AI-powered systems, contributing to high-impact, groundbreaking projects.
A dynamic, collaborative work environment that values creativity, professional growth, and inclusivity.
Access to state-of-the-art tools and dedicated resources for your ongoing development.
A beautiful location in Lausanne, offering an excellent work-life balance.

Working Hours: Full-time, with flexible hours to accommodate project deadlines and maintenance windows.

📝 Enhancement Note: The salary range for this role is based on market research for Senior Systems Software Engineers in Lausanne, Switzerland. The range takes into account the candidate's experience level and the responsibilities of the role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Data & AI consulting, with a focus on delivering impactful solutions across industries like public health, manufacturing, and media.

Company Size: Medium to large, with a global presence and a strong reputation in the industry.

Founded: 2007, with a history of growth and success in the data and AI consulting space.

Team Structure:

A multicultural, multidisciplinary team of data and AI experts, working together to deliver innovative solutions.
A flat hierarchy that encourages collaboration and cross-functional collaboration between teams.
A dedicated focus on fostering a culture of excellence, continuous improvement, and innovation.

Development Methodology:

Agile development methodologies, with a focus on iterative development, collaboration, and continuous improvement.
Regular code reviews, testing, and quality assurance practices to ensure the highest standards of code quality and system reliability.
Deployment strategies, CI/CD pipelines, and server management to ensure optimal performance and scalability.

Company Website: www.artefact.com

📝 Enhancement Note: Effixis is part of the Artefact Group, a global leader in Data & AI consulting. The company operates at the forefront of innovation, delivering impactful solutions across industries like public health, manufacturing, and media. The team thrives on creativity, collaboration, and a commitment to excellence, all within a supportive and inclusive work environment.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Systems Software Engineer, responsible for leading the design and implementation of complex, scalable software systems. This role requires a deep understanding of software systems engineering, DevOps methodologies, and AI-driven environments.

Reporting Structure: This role reports directly to the Head of Engineering and works closely with other senior engineers, project managers, and clients to deliver innovative solutions.

Technical Impact: This role has a significant impact on the design, deployment, and optimization of software systems, as well as the management of projects and teams. The ideal candidate will have a proven track record of delivering high-quality, reliable solutions that meet and exceed client expectations.

Growth Opportunities:

Technical Growth: Opportunities to deepen your expertise in software systems engineering, DevOps methodologies, and AI-driven environments. You will have the chance to work on cutting-edge projects and stay ahead of technological trends.
Leadership Growth: Opportunities to develop your leadership skills, managing projects and teams, and fostering a culture of excellence and continuous improvement.
Career Progression: Opportunities to advance your career within the company, taking on more senior roles or specializing in specific areas of interest.

📝 Enhancement Note: This role offers significant opportunities for growth and development, both technically and in terms of leadership. The ideal candidate will be eager to take on new challenges and lead impactful projects.

🌐 Work Environment

Office Type: A modern, collaborative workspace designed to foster creativity, innovation, and teamwork.

Office Location(s): Lausanne, Switzerland, with a beautiful location offering an excellent work-life balance.

Workspace Context:

A flexible, open-plan workspace with ample room for collaboration and teamwork.
Access to state-of-the-art tools and dedicated resources for your ongoing development.
A dynamic, multicultural team of data and AI experts, working together to deliver innovative solutions.

Work Schedule: Full-time, with flexible hours to accommodate project deadlines and maintenance windows. The company offers a flexible work-from-home policy, allowing employees to work remotely when needed.

📝 Enhancement Note: Effixis offers a dynamic, collaborative work environment that values creativity, professional growth, and inclusivity. The company's location in Lausanne provides an excellent work-life balance, with easy access to the city's cultural attractions and outdoor activities.

📄 Application & Technical Interview Process

Interview Process:

Phone or Video Screen: A brief conversation to assess your technical skills, experience, and cultural fit.
Technical Challenge: A hands-on assessment of your ability to design and implement scalable, reliable software systems using Docker, Kubernetes, and Terraform.
On-site Interview: A day-long interview consisting of technical deep dives, system design discussions, and client engagement scenarios.
Final Evaluation: A review of your portfolio, technical challenge results, and interview performance to determine your fit for the role.

Portfolio Review Tips:

Highlight your experience in software systems engineering, project management, and AI-driven environments.
Include examples of successful project management, demonstrating your ability to lead teams and deliver projects that meet and exceed quality standards, timelines, and client expectations.
Showcase your involvement in AI-driven environments and your understanding of emerging technologies.

Technical Challenge Preparation:

Brush up on your knowledge of Docker, Kubernetes, Terraform, and cloud platforms (e.g., AWS, Azure, GCP).
Familiarize yourself with the latest trends in software systems engineering, DevOps methodologies, and AI-driven environments.
Prepare for system design discussions and client engagement scenarios, demonstrating your ability to collaborate with multicultural, multidisciplinary teams and deliver innovative solutions.

ATS Keywords: [See the comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category: programming languages, web frameworks, server technologies, databases, tools, methodologies, soft skills, industry terms]

📝 Enhancement Note: Effixis' interview process is designed to assess your technical skills, experience, and cultural fit. The ideal candidate will have a strong background in software systems engineering, DevOps methodologies, and AI-driven environments, as well as excellent communication and interpersonal skills.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable for this role.

Backend & Server Technologies:

Docker: Containerization platform for packaging, deploying, and running applications.
Kubernetes: Container orchestration platform for automating deployment, scaling, and management of containerized applications.
Terraform: Infrastructure as Code (IaC) software tool for managing and provisioning cloud infrastructure.
Cloud Platforms: AWS, Azure, GCP (depending on the project requirements).

Development & DevOps Tools:

Git: Distributed version control system for managing and tracking changes in source code.
Jenkins: Automation server for continuous integration and deployment.
GitLab CI: CI/CD pipeline tool for automating the software delivery process.
JIRA: Project management and issue tracking tool for agile software development teams.

📝 Enhancement Note: This role requires a strong understanding of Docker, Kubernetes, Terraform, and cloud platforms (e.g., AWS, Azure, GCP). The ideal candidate will have experience using these tools to design, deploy, and manage complex software systems.

👥 Team Culture & Values

Web Development Values:

Innovation: A commitment to staying ahead of technological trends and integrating emerging technologies into best practices.
Collaboration: A dedication to working together, fostering a culture of excellence, and delivering innovative solutions.
Excellence: A steadfast commitment to delivering high-quality, reliable solutions that meet and exceed client expectations.
Continuous Improvement: A focus on learning, growing, and adapting to new technologies and best practices.

Collaboration Style:

Cross-functional Integration: Close collaboration between data and AI experts, project managers, and clients to deliver innovative solutions.
Code Review Culture: Regular code reviews, testing, and quality assurance practices to ensure the highest standards of code quality and system reliability.
Knowledge Sharing: A culture of learning, sharing, and growing together, with a focus on continuous professional development.

📝 Enhancement Note: Effixis values innovation, collaboration, excellence, and continuous improvement. The company fosters a culture of learning, sharing, and growing together, with a focus on delivering high-quality, reliable solutions that meet and exceed client expectations.

⚡ Challenges & Growth Opportunities

Technical Challenges:

System Design and Scalability: Designing and implementing scalable, reliable software systems that can handle increased load and traffic.
Cloud Migration: Migrating existing software systems to cloud platforms, ensuring optimal performance, reliability, and security.
AI Integration: Integrating AI and machine learning models into software systems, improving their functionality and user experience.
Emerging Technologies: Staying ahead of technological trends and integrating emerging technologies into best practices.

Learning & Development Opportunities:

Technical Skills: Opportunities to deepen your expertise in software systems engineering, DevOps methodologies, and AI-driven environments.
Leadership Skills: Opportunities to develop your leadership skills, managing projects and teams, and fostering a culture of excellence and continuous improvement.
Career Progression: Opportunities to advance your career within the company, taking on more senior roles or specializing in specific areas of interest.

📝 Enhancement Note: This role offers significant opportunities for growth and development, both technically and in terms of leadership. The ideal candidate will be eager to take on new challenges and lead impactful projects.

💡 Interview Preparation

Technical Questions:

System Design: Questions assessing your ability to design and implement scalable, reliable software systems using Docker, Kubernetes, Terraform, and cloud platforms.
DevOps Methodologies: Questions evaluating your understanding of DevOps methodologies, containerization, orchestration, and cloud technologies.
AI-Driven Environments: Questions exploring your experience in AI-driven environments and your understanding of emerging technologies.

Company & Culture Questions:

Company Culture: Questions assessing your understanding of Effixis' culture, values, and work environment.
Team Dynamics: Questions exploring your ability to collaborate with multicultural, multidisciplinary teams and deliver innovative solutions.
Client Engagement: Questions evaluating your communication and interpersonal skills, as well as your ability to understand and meet client needs.

Portfolio Presentation Strategy:

Technical Deep Dive: Prepare a detailed walkthrough of your most relevant projects, highlighting your involvement in software systems engineering, project management, and AI-driven environments.
System Design Discussion: Prepare for a structured discussion of your system design approach, demonstrating your ability to collaborate with multicultural, multidisciplinary teams and deliver innovative solutions.
Client Engagement Scenario: Prepare for a role-play scenario, demonstrating your ability to engage with clients, understand their needs, and provide tailored solutions that maximize the potential of AI-powered systems.

📝 Enhancement Note: Effixis' interview process is designed to assess your technical skills, experience, and cultural fit. The ideal candidate will have a strong background in software systems engineering, DevOps methodologies, and AI-driven environments, as well as excellent communication and interpersonal skills.

📌 Application Steps

To apply for this Senior Systems Software Engineer position at Effixis, an Artefact company:

Submit Your Application: Click on the application link and follow the instructions to submit your resume and cover letter.
Prepare Your Portfolio: Tailor your portfolio to highlight your experience in software systems engineering, project management, and AI-driven environments. Include examples of successful project management, demonstrating your ability to lead teams and deliver projects that meet and exceed quality standards, timelines, and client expectations.
Optimize Your Resume: Use the comprehensive list of web development and server administration-relevant keywords to optimize your resume for this role. Highlight your experience in software systems engineering, DevOps methodologies, and AI-driven environments, as well as your communication and interpersonal skills.
Prepare for Technical Challenges: Brush up on your knowledge of Docker, Kubernetes, Terraform, and cloud platforms (e.g., AWS, Azure, GCP). Familiarize yourself with the latest trends in software systems engineering, DevOps methodologies, and AI-driven environments. Prepare for system design discussions and client engagement scenarios, demonstrating your ability to collaborate with multicultural, multidisciplinary teams and deliver innovative solutions.
Research the Company: Learn about Effixis' culture, values, and work environment. Understand the company's focus on data & AI consulting and its commitment to delivering impactful solutions across industries like public health, manufacturing, and media.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to software systems engineering, DevOps methodologies, and AI-driven environments.
Include web technology-specific responsibilities, skills, and qualifications relevant to the role.
Emphasize the candidate's experience in software systems engineering, project management, and AI-driven environments.
Address the candidate's involvement in AI-driven environments and their understanding of emerging technologies.

Quality Standards:

Ensure no content overlap between sections - each section must contain unique information only.
Only include Enhancement Notes when making significant inferences about the role, with clear reasoning based on web technology industry standards and available information.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute web development and server administration-related keywords throughout all sections naturally.
Provide realistic salary ranges based on location, experience level, and web technology specialization.

Industry Expertise:

Include specific software systems engineering, DevOps methodologies, and AI-driven environment requirements relevant to the role.
Address the candidate's experience in software systems engineering, project management, and AI-driven environments.
Provide tactical advice for portfolio development, live demonstrations, and project case studies tailored to software systems engineering and AI-driven environments.
Include web technology-specific interview preparation and coding challenge guidance.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout.
Use software systems engineering, DevOps methodologies, and AI-driven environment terminology appropriately and accurately.
Include comprehensive benefits and growth opportunities relevant to software systems engineering and AI-driven environments.
Provide actionable insights that give software systems engineering and AI-driven environment candidates a competitive advantage.
Focus on software systems engineering team culture, cross-functional collaboration, and user impact measurement.

Technical Focus & Portfolio Emphasis:

Emphasize software systems engineering best practices, DevOps methodologies, and AI-driven environment-specific portfolio requirements.
Address the candidate's involvement in AI-driven environments and their understanding of emerging technologies.
Include specific portfolio requirements tailored to software systems engineering and AI-driven environments.
Focus on problem-solving methods, performance optimization, and scalable software architecture tailored to AI-driven environments.

Avoid:

Generic business jargon not relevant to software systems engineering, DevOps methodologies, or AI-driven environments.
Placeholder text or incomplete sections.
Repetitive content across different sections.
Non-technical terminology unless relevant to the specific software systems engineering, DevOps methodologies, or AI-driven environment role.
Marketing language unrelated to software systems engineering, DevOps methodologies, or AI-driven environments.

Generate comprehensive, web technology-focused content that serves as a valuable resource for software systems engineering and AI-driven environment professionals seeking their next opportunity and preparing for technical interviews in the web development industry.

Senior Software Systems Engineer