Scala Jobs in Switzerland.
All active Scala 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
Principal Software Engineer (Networking) - Platform
Share this job
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What Is The Role:
As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!
What You Will Be Doing:
- Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
- Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
- Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
- Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.
What You Bring:
- 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
- Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
- Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.
Bonus Points:
You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.
- You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
- You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
- You have written product features or functions in Golang or other programming languages.
- You have worked with containerized services (such as Docker.)
- You have proven results in leading and improving cross-team engineering initiatives.
- You have experience in system administration with professional skills in Linux on distributed systems at scale.
- You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
- You are experienced in a self-organizing and sharing in a globally distributed team environment.
- You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Additionally, this role is still eligible to participate in Elastic’s equity plan, Registered Retirement Savings Plan (RRSP), and a range of other benefits offered with a holistic emphasis on employee well-being. If you need additional details on our benefits, please review the Canada Benefits page on Wiki.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
Ready to apply?
Apply to Referral Board
Sr. Solutions Architect
Share this job
FEQ427R330
For our FSI customer in Zurich, we are seeking a Sr Solution Architect. At Databricks, our core principles are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
The impact you will have:
- Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
- Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
- You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd-party applications, ensuring they are excited about the Databricks vision and solution strategy.
- Be a 'champion’ for both customers and colleagues, operating as an expert solutions architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
- Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
- Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
What we look for:
- Know how to engage in complex customer interactions and the sales lifecycle in a technical pre-sales capacity.
- Ability to influence decision-makers and C-level executives by building relationships and orchestrating teams to achieve long-term customer success.
- Prior experience coding in a core programming language (e.g., Python, Java, Scala) and a willingness to learn basic Spark.
- Hands-on expertise with complex proofs-of-concept and public cloud platforms, and the ability to demonstrate the art of the possible using a modern coding platform.
- Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.
- Prior expertise in the regulated FSI vertical is an advantage.
- Fluent in English. Fluent in German is a plus.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies.
As a Data Engineer, you‘ll be joining our core engineering team. You will contribute to our proprietary low-latency trading system, acquire market and trading data, implement ETL processes and collaborate with traders and researchers on improving the trading results.
Your Core Responsibilities:
- Collaborate on developing market and trading data pipeline systems, both in batch mode and streaming mode.
- Extend data pipelines to multiple exchanges/platforms and across different areas of application.
- Work closely together with other engineers and researchers, providing efficient data solutions for our research and trading operations.
Your Skills and Experience:
- Masters in Computer Science, Mathematics, Physics or a related technical field. Industry experience in big data would be a big plus.
- Skills in data pipeline technologies such as Clickhouse, Flink and Kafka. Experience with Kubernetes is a plus.
- Proficient programming experience in Java/Scala & Python, C++ being a plus.
- You are absolutely fluent in English and enjoy working in an international team.
- You are eager to design, develop, test, deploy, maintain and improve software.
Location and Office Culture:
- IMC office in Zug, Switzerland
- Note that this is an onsite role, with some but limited flexibility for working from home
- You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities
- One of the most exciting aspects of the job is our quick feedback loop in the research, development and deployment of strategies
- We give people lots of responsibility and the support they need to make an impact from day one
- We promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our teams and offices
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
Ready to apply?
Apply to IMC
IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies.
As a Python Software Engineer, you will work closely with our trading and engineering teams on a variety of applications, tools and automation projects. You’ll be placed in an environment consisting primarily of a large Python analysis ecosystem drawing data from various sources including our own trading systems. You’ll build analysis & visualisation tools at the heart of the business logic, in close collaboration with the traders who use them. Your work involves both interpreting ideas, coming up with your own, and efficiently implementing these into tools that are reliable, scalable and performant.
Together with traders, researchers and engineers, you deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You’ll write reliable and scalable software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits. Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between throughput, simplicity, scalability and maintainability.
Your Core Responsibilities:
- Collaborate closely with researchers, and engineers to deliver challenging projects.
- Build, maintain, and enhance research frameworks and data pipelines that enable trading and quantitative research.
- Curate, transform, and present data in clear, accessible formats for traders and researchers.
- Take ownership of end-to-end product development, from requirements gathering to production deployment
- Navigate a complex landscape of diverse systems and technologies, making informed trade-offs between throughput, simplicity, scalability, and maintainability
Your Skills and Experience:
- Master’s or Ph.D. in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline.
- 2–3 years of professional Python development experience
- solid computer science knowledge, has experience or capability to quickly adapt to additional languages such as Java, Scala, C++, Go, etc.
- Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow).
- Proven ability to handle large datasets, architect and optimize data pipelines, and present data effectively.
- Experience with orchestration and containerization tools like Kubernetes and Docker is a plus.
- Solid grounding in calculus, probability, statistics, and optimization; familiarity with machine-learning techniques is beneficial.
Location and Office Culture:
- IMC office in Zug, Switzerland
- Note that this is an onsite role, with some but limited flexibility for working from home
- You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities
- One of the most exciting aspects of the job is our quick feedback loop in the research, development and deployment of strategies
- We give people lots of responsibility and the support they need to make an impact from day one
- We promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our teams and offices
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
Ready to apply?
Apply to IMC