System Engineer

Whom are we looking for?

BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new markets. As we continue to scale, we’re looking for an ambitious System Engineer eager to learn, grow, and contribute to the backbone of our trading infrastructure.

This role is ideal for engineers with a strong interest in Linux systems and who are excited about working in a fast-paced trading environment.

What will you do?

You’ll work closely with senior engineers to support, maintain, and improve our core infrastructure. Over time, you’ll take on more responsibility as your skills develop.

Your tasks will include:

• Assisting in building and maintaining a highly available and scalable production environment.
• Supporting performance monitoring and helping optimize system stability, uptime, and efficiency.
• Learning to automate workflows and deployments using tools like Bash, Python, Ansible and Terraform.
• Helping troubleshoot and resolve technical incidents.
• Researching new technologies and suggesting improvements to our systems.
• Collaborating across teams to ensure smooth and secure operations.

As you grow, you’ll have opportunities to take on more complex projects and gain hands-on experience with cutting-edge technologies in the trading domain.

What do we require from you?

We value potential, curiosity, and a willingness to learn over years of experience. Ideally, you bring:

• 3+ years of experience as a Linux System Engineer in trading, fintech or a similar domain.
• A Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
• A passion for Linux and open-source technologies.
• Some hands-on experience (through studies, internships, or personal projects) with:

-Linux/Unix environments

-Python scripting and automation

-Version control tools like Git or GitLab

• Familiarity or interest in:

-Ansible, Terraform, and AWS

-Networking, virtualization, and IT security

• A strong problem-solving mindset and eagerness to dig into how things work.
• A proactive attitude and willingness to take ownership as you grow.
• Fluency in English, both written and spoken.

What’s in it for you?

• A permanent full-time position in a relaxed and trendy office located in the heart of Singapore's financial district (CBD)
• Competitive compensation consisting of a base salary combined with a very attractive bonus plan based on individual and company performance
• Additionally, outstanding performance is rewarded with the opportunity to buy into the trading fund
• An extensive in-house training program and an annual learning & development budget
• The opportunity to work at the forefront of automated trading using state-of-the-art technology, in an environment that embraces AI to both accelerate productivity and advance our systems and models
• Laptop, home office budget and transportation allowance
• Daily breakfast and warm lunch. Additionally, snacks and drinks are provided throughout the day
• Reimbursement of gym membership, sports events and the opportunity to do sports during working hours
• Regular social events, including bi-annual trips abroad and frequent outings
• For internationals: All-in relocation package

Our culture

At our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals.

In this role, you will be both challenged and stretched, with ample opportunities for growth and development, both within and beyond your main responsibilities.

We invest in our people by offering competitive compensation and benefits, fostering innovation, and celebrating success. Our commitment to personal development transcends traditional norms; we provide an equal playing field, promote reverse leadership, and offer boundless growth opportunities for all our employees.

Join us to unlock your potential and drive innovation in the exciting world of algorithmic trading.