IT / OT - Engineer (m/w/d)

PrivaSphere
is a Swiss technology company building a secure, scalable platform for encrypted email and online applications. To support our international growth, we are looking for a technically ambitious
Full-Stack Software Engineer
who enjoys building reliable, secure, user-focused systems end to end.

Tasks

• Development of the PrivaSphere Technology and Platform (Front- and Backend), in particular

- Enable and execute the scaling of the current mid-sized special service to a

mass-calibrated, commercial global service (“Single Page”)

- Add new features and eventually new product lines

• Maintenance of a world-class automated security testing framework for quality assurance and efficient regression testing

• Documentation of the technology for a growing development organization and

due-diligence/audits

• Project Management

- Assist Sales in Offering new functionality to customers

- Support COO in all technical matters

- Advance DevOps, continuous deployment, hardening

Requirements

• Software development skills: Java / RDBMS / JavaScript + TypeScript / Angular / CSS / Docker / Kubernetes

• Solid knowledge of Java-related frameworks and technologies (e.g. Tomcat/JSP, JDBC, JavaMail)

• Team Player, Team Leader

• Ready to settle in the Zürich area with a long-term commitment

• Capable of conceptual advancement of the technology

• Self-starter, relentless personality fitting into a growth environment, motivated for highest performance in particular in the area of security, end-user focus.

Nice to haves

• Background in IT security and cryptography (JSSE/JCE, openssl, gnupg, BouncyCastle)

• Experience with automated testing frameworks (e.g. JUnit, Cypress)

• Understanding of messaging topics (basic experience with MTAs such as Postfix advantageous) and operating systems (basic Linux/Windows admin skills)

Benefits

Take the opportunity to co-shape a leading Swiss IT Security platform in its growth phase, working closely with senior leadership and influencing both technology and product direction.

We are looking for someone to bring in new ideas and show new ways to deliver to our customers the best experience possible as well as a fun addition to the team.

We are looking forward to your application and resume.

Senior Software Engineer, Block Production - Anza

Who We Are
Anza is a Solana R&D lab pushing the boundaries of blockchain performance and scalability. Anza was founded by experienced executives and core engineers solving the toughest problems in Web3. Crypto ecosystems rely on robust protocols, and we believe those are best built out in the open, with multiple contributors. We pioneer advanced solutions to meet the evolving demands of decentralized applications.

The Role
As a Software Engineer specializing in block production, scheduling, and verification, you will play a critical role in fortifying Anza's Agave client and the broader Solana network. This team owns the core pipeline between networking and the runtime, responsible for processing ingested transactions and coordinating block-production and verification.

Your work will directly contribute to the efficiency and reliability of our blockchain infrastructure, ensuring seamless and timely block production, scheduling, and verification. You will focus on optimizing the processes that underpin the generation and propagation of blocks, ensuring they are secure, performant, and scalable to meet the demands of future growth.

Responsibilities

• Develop and Optimize Block Production: Design, implement, and optimize the mechanisms for block production to enhance the throughput and stability of the Solana network
• Efficient Scheduling: Develop and refine scheduling mechanisms for both block production and block verification, enabling efficient transaction processing, fair resource allocation, and predictable performance.
• Ensure Security and Integrity: Identify and mitigate potential security vulnerabilities within the pipeline, ensuring robust protection against emerging threats
• Scalability and Performance: Work on improving the scalability of the pipeline to handle increasing transaction volumes and validator participation without compromising on performance
• Testing and Validation: Create and execute comprehensive tests to validate the reliability and efficiency of the block production, block verification, and scheduling mechanisms, including stress tests, fault injection, and performance benchmarking
• Collaboration: Collaborate with cross-functional teams, including core protocol engineers, security experts, and infrastructure teams, to ensure the seamless integration and functioning of the block production components
• Documentation and Code Review: Maintain thorough documentation of the block production and scheduling protocols and conduct peer code reviews to uphold high standards of code quality and consistency
• Shared-Memory Systems: Design and maintain high-performance shared-memory interfaces between scheduling and execution stages, enabling low-latency coordination and efficient data movement across the validator pipeline

Requirements
What You'll Bring

• Experience: A Bachelor's degree in Computer Science, Engineering, or equivalent practical experience and 3+ years of hands-on experience with core infrastructure software and distributed systems
• Technical Expertise: Strong proficiency in systems programming languages such as Rust, C or C++. Experience with distributed systems, and blockchain technology is highly desirable
• Problem-Solving Skills: Ability to analyze complex systems, identify potential issues, and develop effective solutions
• Security Mindset: Knowledge of common security threats and best practices in securing block production processes
• Performance Optimization: Experience with performance profiling and optimization techniques
• Collaboration and Communication: Excellent teamwork and communication skills, with the ability to work effectively in a collaborative environment

Preferred Qualifications

• Familiarity with Linux, systems automation tools, and systems architecture
• Deep understanding of , architecture, and principles underlying distributed systems
• A knack for designing secure protocols, software, and algorithms that minimize trust requirements
• Active participation in Bitcoin/Ethereum/Blockchain projects or the open-source community is highly desirable

Benefits
Why Join Anza?
We offer a dynamic, fast-paced environment where innovation and problem-solving are at the heart of everything we do. Here, your work will have a direct impact on the security and scalability of blockchain technology, contributing to the foundation of decentralized applications worldwide.

We're excited to welcome individuals who share our passion for pushing the boundaries of blockchain technology. If you're ready to take on the challenge and contribute to the next generation of blockchain infrastructure, we'd love to hear from you.

The salary range for US-based candidates will be determined throughout the interview process depending on experience, skill, and location. Candidates should anticipate an annual base salary (not including incentive compensation or other benefits) of $180,000 USD to $300,000 USD.

To strengthen our e-Bike Systems Engineering team located in Cham, Switzerland, we are seeking an Embedded Software Engineer to commence immediately or by agreement. In this role you will be working on the HMI helping the team develop the future of e-bikes.

Description

• You’ll be a part of the Systems Engineering team, helping in the development of our future bike systems.
• As an embedded software engineer you will build, deploy and maintain HMI firmware over the product lifecycle.
• You will also take care of the protocols that are the gateway to the rest of the system and our internal (retailer) and rider apps.
• Take care of our main repository in collaboration with internal and external developers.
• Assist with root cause analysis on issues that come back from the field.
• Develop automated unit and integration testing.
• Develop and maintain design documentation.

Qualifications

• Bachelor’s or Master’s degree in computer science, electrical engineering or related field.
• Experience writing and debugging code for drivers, modules and applications.
• Experience working with ZephyrOS, git, make, cmake, C, Python and bash.
• Experience in software development in a collaborative environment.
• Knowledge of CAN bus, BLE and ANT+ protocols is an advantage.
• Knowledge of PCB analysis is an advantage.
• Knowledge of Jira, Sharepoint and other collaborative tools is an advantage.
• Certified Embedded Software Engineer (CESE) is an advantage.
• Ability to navigate a fast-paced environment.
• Excellent English skills (written and spoken).

THE OPPORTUNITY
AEM Assets is Adobe's digital asset management platform - a Gartner-ranked Leader in Digital Asset Management for over a decade, with agentic AI already shipped and in production: Content Advisor for conversational search, Governance Agent enforcing brand rules automatically, Content Optimization Agent reshaping content per channel. A DAM here isn't a supporting tool other systems tolerate - it's becoming the thing every other system depends on, and that authority matters more as AI systems decide what content gets surfaced and reused.

What You'll Do

• Own features end-to-end with a customer in the loop from day one - discovery, prototype, ship, then track whether it landed
• Set the pace for AI-native development on your team: fast iteration, real validation, no pretending a demo is done just because it's demoable
• Translate ambiguous, real-world customer problems into working software fast enough that the customer stays in the conversation
• Treat adoption and quality as your problem too - not just the PM's - when a feature ships but doesn't land
• Mentor engineers earlier in their career on the technical craft and on the discipline of building with customers, not for them

What You Need To Succeed

• 5+ years of software engineering experience, or a relevant degree plus equivalent experience
• Deep proficiency in JavaScript/Node.js or Python; solid reasoning about distributed systems and API design
• Full-stack capability (React, HTML/CSS, backend) with cloud-native experience (AWS)
• A track record of turning a real customer problem into production software - not just a spec into code
• Fluent with AI-assisted development tools, and comfortable holding others to that standard
• Some entrepreneurial instinct - comfortable being early, sometimes wrong, and fast to correct

About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

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AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.