Sr. Back-end Engineer in TECLA

TECLA is a fully remote software development company with a diverse and highly skilled team of 100+ experts across Latin America. We specialize in AI, cloud, automation, and DevOps, building innovative solutions for high-growth startups and established mid-market technology companies in the U.S.

Our work culture is agile, collaborative, and fast-paced—we take our work seriously while keeping the environment fun and engaging. As a remote-first company, we emphasize strong teamwork and close collaboration, working seamlessly with our U.S. partners as one integrated unit. Whether optimizing cloud environments, developing AI-driven applications, or enhancing DevOps automation, TECLA is at the forefront of technical innovation, solving complex challenges with cutting-edge technology.

• Design and implement a low-latency, high-throughput analytics pipeline capable of processing streaming data for fraud detection in real time.
• Work with technologies such as Apache Pinot, Clickhouse, or Apache Flink to support time-series aggregation, anomaly detection, and customer alerting logic.
• Continuously evaluate and integrate emerging tools to improve the scalability and accuracy of our fraud detection models.
• Collaborate closely with data scientists, backend engineers, and infrastructure teams to productionize detection algorithms and ensure reliable operation at scale.
• Write well-tested, efficient code in Python and Go or Rust, with a strong focus on performance and system observability.

• BS, MS or Ph.D in Computer Science, Engineering, Mathematics, Statistics, Physics, or related field is required.
• 6+ years of experience in Python.
• 3+ years of experience with Go or Rust.
• Experience with real-time data pipelines using technologies such as Apache Pinot, Apache Druid, Apache Flink, Clickhouse, or similar.
• Experience in building and managing distributed systems.
• Experience with AWS (cloud) and Terraform (IAAS).
• Experience in developing and optimizing end-to-end APIs, data flows, and infrastructure for consumer or enterprise products.
• Advanced knowledge of software engineering principles including software design, source control management, build processes, automated deployments, code reviews, and testing methods.
• Hustle, curiosity, humility.

Bonus Points:

• Experience managing large-scale critical production systems with minimum SLAs of 4 9's.

• A fully remote position with a structured schedule that supports work-life balance.
• The opportunity to join a team revolutionizing real-time fraud detection and financial crime prevention.
• Two weeks of paid vacation per year.
• 10 paid days for local holidays.

*Please note we are only looking for full-time dedicated team members who are eager to fully integrate within the team.