Senior Software Engineer

Content Square

In the Data Infrastructure team, we collect several billion events per day and query hundreds of terabytes in real time.

We re currently hiring for two positions (mid-level and senior) to join our team of passionate and talented engineers, and help design and build the next generation of our data architecture, powering real-time insights at massive scale.

Your daily work will consist of:

• Leading large scale projects that involves complex systems with leading edge technologies
• Thinking of smart data formats and ways of exchanging it to serve the functionalities of the product, while minimizing the cost and increasing performanceIncrease the team's expertise by bringing in new ideas and mentoring other developers by using (but not limited to) some open source technologies such as Scala, Go, Kafka, and ClickHouse.

Why join ContentSquare's Data Engineering team?

• You are looking for a variety of cool projects, which will redefine analytics and UX with big data
• You would like to challenge yourself developing distributed infrastructure with a real time and data-intensive environment.
• You are looking for an environment where you'll have the occasion to be a technical reference on your areas of expertise, all while taking responsibilities on strategical corporate axes and collaborating with your peers.

What you will do

• Design efficient, data-intensive backend services to collect, process, and store petabytes of data, with a strong focus on performance, scalability, and system behavior under load.
• Challenge the status quo by redesigning and unifying multiple inherited data pipelines, driving the transition to a streamlined, harmonized data architecture.
• Investigate, debug, and optimize system behavior across CPU, memory, I/O, and concurrency dimensions as data volumes grow.
• Lead large-scale projects that involve complex systems and cutting-edge technologies, driving impactful changes across the organization.
• Develop innovative data formats and exchange mechanisms that optimize functionality while minimizing costs and maximizing performance.
• Share knowledge and increase the team's expertise by introducing new ideas and mentoring fellow engineers.
• Contribute to the continuous evolution of the primary data pipeline, addressing growing data volumes and functional requirements.
• Collaborate closely with cross-functional teams to ensure data solutions align with the organization's strategic goals.

What you will need to succeed

• Whether you are a mid-level or senior engineer (4+ years of experience), you have strong fundamentals in computer science and software engineering (data structures, concurrency, memory management, and performance).
• You have worked with dynamic complex systems in a rich ecosystem with lots of integrations.
• You have hands-on experience tackling large-scale, high-volume systems, and understand the trade-offs required to make systems scale reliably.
• You care about production quality, including testing, monitoring, logging, and observability, and you understand why these are critical in data-intensive systems.
• You have experience with cloud providers such as AWS and Azure, with a comfort in writing infrastructure as code.
• You have strong communication skills, with the ability to collaborate effectively in a team environment on-site but also in async with people around the world.
• You have the ability to thrive in a flat team structure, actively contributing to solving technical challenges alongside peers.
• You are proactive, full of ideas, with a critical yet constructive attitude and a positive approach to bringing thoughtful input.

Nice to have:

• Proficiency in Go and/or Scala
• Experience with ClickHouse and/or SingleStore
• Experience with Kubernetes
• Experience using Kafka