Jenkins Jobs in Switzerland.
All active Jenkins roles based in Switzerland.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Verisign helps enable the security, stability, and resiliency of the internet. We are a trusted provider of internet infrastructure services for the networked world and deliver unmatched performance in domain name system (DNS) services.
We are a mission focused, values driven company where each individual can contribute to building a stronger, more secure internet. We offer a dynamic and flexible work environment with competitive benefits and the ability to grow your career.
Within Verisign, our Data Engineering Team is responsible for designing, building and maintaining large-scale, high-throughput (millions requests per second) data products and services delivering actionable operational and business intelligence. To help us advance our products, we are looking for a skilled Mid-Level Data Engineer.
An ideal candidate should deeply care about all steps of data lifecycle (ingestion, enhancement, storage, processing, visualization), be fluent in a JVM-based language, and be eager to learn as needed. They should have an understanding of fundamentals including core Computer Science concepts accompanied by hands-on problem-solving experience ideally involving large-scale distributed systems. Obtaining these competencies often requires an equivalent of a bachelor’s degree and 5 years of practical work experience. We are also open to other career paths.
The candidate will be involved in all aspects of data engineering, including ideation, design, implementation, deployment, customer onboarding, and support. This will often imply regular cross-team collaboration with Verisign Data Platform, Business, Infrastructure, Engineering, Security, and Operations. We expect the candidate to take full ownership of the data products, regularly interacting with the internal customers, proactively identifying, prioritizing, and delivering on their common data needs.
Key Responsibilities:
- Design, build and optimize real-time and batch data processing pipelines.
- Develop and maintain data processing components that implement transformation, normalization, and enrichment logic.
- Build and maintain interactive dashboards and visualizations for internal stakeholders.
- Develop and maintain containerized workloads deployed in Kubernetes environments using CI/CD automation.
- Ensure system and data pipelines reliability through monitoring, observability, and alerting practices.
- Troubleshoot complex issues in distributed data systems and resolve performance bottlenecks.
- Support internal customers using data products and analytical platforms.
- Contribute to continuous improvement by applying data engineering best practices, particularly in hybrid cloud environments.
Required Skills
- Strong programming fundamentals with experience in object-oriented or functional programming languages
- Experience working with data lake and analytical technologies (e.g., Iceberg, Druid, Hive, Object Storage).
- Familiarity with streaming data platforms such as Apache Kafka.
- Experience implementing CI/CD pipelines (e.g. Jenkins).
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to collaborate effectively with cross-functional stakeholders.
Preferred Skills
- Proficiency in Java or other JVM-based programming languages (e.g., Scala).
- Hands-on experience with distributed data processing frameworks such as Apache Spark or Akka Streams.
- Experience with containerization and orchestration technologies (Docker, Kubernetes) in production environments.
- Strong understanding of distributed systems concepts and performance optimization.
- Experience working in large-scale, production-grade data environments.
- Experience with delivering business insights by leveraging data visualization tools such as Grafana, Tableau or Superset.
An ideal candidate will have a blend of technical skills, an intention to grow themselves and those around them, and allow Verisign to continuously improve the delivery of business and operational insights:
Qualifications:
- Bachelor’s degree in computer science or a related technical field, or equivalent combination of education and experience
- Prior experience developing and managing production-grade data pipelines
- Achieving this skill-set typically requires a minimum of 5 years of relevant industry experience in addition to a Bachelors or Masters degree, but we are open to alternative career paths
Verisign is an equal opportunity employer. That means we recruit, hire, compensate, train, promote, transfer, and administer all terms and conditions of employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, age, protected veteran status, disability, or other protected categories under applicable law.
Additional Information:
Our Careers Page
Our Benefits Summary
Verisign in the Community
Our EEO Statement
Our Privacy Notice for Job Applicants/Candidates
Reasonable Accommodations
Staffing agency policy: No fees will be paid for unsolicited resumes submitted to Verisign or our employees by third parties.
Ready to apply?
Apply to Verisign
Site Reliability Engineer
Now is an amazing time to join Nozomi Networks as we build the future of OT and IoT cybersecurity.
We defend some of the world’s largest organizations and critical infrastructure in more than 68 countries and we’re just getting started. Our AI-powered cybersecurity platform secures operational technology (OT) and Internet of Things (IoT) infrastructures for enterprises and government entities across energy, manufacturing, transportation, resources, and critical infrastructure.
As we expand our product portfolio and global presence, our Engineering department is hiring a Site Reliability Engineer to support and expand our globally distributed team. Together with the rest of the team, we are responsible for the availability, performance, monitoring, and incident response of our cloud-based services.
You could be the next "Nozomier"! If this sounds like you, read on.
In this role you will:
- Embody the Nozomi Networks Cultural Pillars and our mission to protect what matters most with transparency and trust
- Build and maintain our cloud-based infrastructure and related services
- Build solutions to enhance the availability, performance and stability of our services
- Promote and implement automated solutions across application deployment, maintenance, and operational activities
- Troubleshoot issues across the entire stack, from network and OS to applications
- Performance tuning and optimization of cloud services, including cost saving strategies
- Drive post-incident analysis according to our no-blame culture
- Participate in periodic on-call duties
- Ability to operate in settings with strong confidentiality and data privacy protocols
To be successful in this opportunity, you will have:
- Proven professional experience as SRE, DevOps, or Cloud engineer
- Strong hands-on experience with Kubernetes
- Hands-on experience with at least one cloud provider (preferably AWS)
- Good knowledge and understanding of at least one programming language (Ruby, Python, Go)
- Experience defining infrastructure as code using tools such as Terraform or CloudFormation
- Experience in the definition of CI/CD pipelines using technologies like Jenkins, GHA, or similar
- Demonstrable experience of using AI‑enabled tools as part of day‑to‑day work activities to improve efficiency, quality, or decision‑making.
- Ability to work effectively with AI‑assisted tools while applying sound professional judgement and accountability for outputs.
Who we are and what we stand for:
Nozomi Networks is the leader in OT and IoT Cybersecurity. We protect the world's critical infrastructure, industrial and government organizations from cyber threats by providing exceptional network visibility, threat detection and operational insight. We’re always innovating and we hire the best at what they do to ensure our customers always have access to fast product enhancements, exceptional engineering support and rapid deployment across continents. If you like a challenge, and value integrity and customer success, we invite you to help Nozomi Networks build the future of OT and IoT cybersecurity.
Diversity, Inclusion and Belonging are part of our core beliefs, at Nozomi Networks. Diversity of thought, background and culture broadens our knowledge of the world and helps us learn, grow, and gain new perspectives. What makes us all different is what makes us powerful.
Our Global Benefits
All of our benefits are customized to the country you are based in, naturally we want to get the best out of our Nozomiers, so we provide the best benefits packages, such as:
- Health & Wellness
- Financial
- Work-Life Balance
- Unparalleled Flexible Time-Off
Need to know information
Successful candidates will be subjected to background verification checks.
Be cautious of unsolicited messages, fake email addresses, requests for money and unclear job descriptions. Report suspicious activity to authorities. Our open job opportunities and descriptions are posted on Nozomi Networks' career page. If in any doubt please apply for opportunities on our careers website here.
If you would like to know more about our Privacy Policy, please click here. Any questions about how we process personal information, or if you would like help exercising your privacy rights please contact us using the email provided within the Privacy Policy.
Ready to apply?
Apply to Nozomi NetworksWho is Artefact?
Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.
With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.
Main Responsibilities
As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.
-
Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.
-
Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).
-
DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).
-
Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.
-
Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.
Candidate Profile
Engineer first, consultant second — with a builder’s mindset and a track record of shipping.
- Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.
-
The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.
-
The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).
-
AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).
-
Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).
-
Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.
-
Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.
Nice to have
-
Experience with responsible AI/governance frameworks, security reviews, and cost optimization.
-
Domain experience in finance.
-
Contributions to open-source, publications, or conference talks.
Why Join Us
-
Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.
-
Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.
-
Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.
-
Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.
Location: Zurich
If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.
Ready to apply?
Apply to ArtefactSenior AI Engineer / Technical Consultant
Who is Artefact?
Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.
With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.
Main Responsibilities
As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.
-
Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.
-
Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).
-
DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).
-
Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.
-
Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.
Candidate Profile
Engineer first, consultant second — with a builder’s mindset and a track record of shipping.
- Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.
-
The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.
-
The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).
-
AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).
-
Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).
-
Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.
-
Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.
Nice to have
-
Experience with responsible AI/governance frameworks, security reviews, and cost optimization.
-
Domain experience in finance.
-
Contributions to open-source, publications, or conference talks.
Why Join Us
-
Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.
-
Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.
-
Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.
-
Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.
Location: Zurich
If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.
Ready to apply?
Apply to LinkedIn Job WrappingSenior AI Engineer / Technical Consultant
Who is Artefact?
Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.
With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.
Main Responsibilities
As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.
-
Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.
-
Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).
-
DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).
-
Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.
-
Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.
Candidate Profile
Engineer first, consultant second — with a builder’s mindset and a track record of shipping.
- Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.
-
The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.
-
The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).
-
AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).
-
Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).
-
Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.
-
Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.
Nice to have
-
Experience with responsible AI/governance frameworks, security reviews, and cost optimization.
-
Domain experience in finance.
-
Contributions to open-source, publications, or conference talks.
Why Join Us
-
Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.
-
Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.
-
Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.
-
Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.
Location: Zurich
If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.
Ready to apply?
Apply to Welcome to the Jungle