Home Office ofertas em Brasil

Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey.

We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further.

Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other.

Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. For more information, visit our careers blog.

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.

• 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.

• 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.

• Design efficient services to collect, process, and store petabytes of data, ensuring high scalability and performance.
• Challenge the status quo by redesigning and unifying multiple inherited data pipelines, driving the transition to a streamlined, harmonized data architecture.
• 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.

• Whether you are a mid-level or senior engineer (4+ years of experience), you have a good grasp of the fundamentals of computer science.
• You have worked with dynamic complex systems in a rich ecosystem with lots of integrations.
• You have hands-on experience tackling large-scale data challenges, focusing on scalability, low-latency processing, and fault-tolerant system design.
• 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.

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

We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we’re aligned with the employees’ needs.

Here are a few we want to highlight:

• Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year
• Work flexibility: hybrid and remote work policies
• Generous paid time-off policy (every location is different)
• Immediate eligibility for birthing and non-birthing parental leave
• Wellbeing and Home Office allowances
• A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work
• Every full-time employee receives stock options, allowing them to share in the company’s success
• We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts
• And more benefits tailored to each country

Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal here.

Your personal data will be securely stored in our hosting provider’s data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws.