Senior Backend Engineer (Data-Oriented)

Seemplicity is the agentic Exposure Action Platform™ that turns organizations’ scattered security findings into clear, actionable fixes. The benefit is faster remediation, less wasted effort, and a measurable reduction in exposure. While the industry is technical, our approach to marketing is clear, human, and focused on real-world problems.

We are looking for a senior backend engineer who enjoys working close to data, understands complex systems, and wants to own critical backend logic that directly impacts product behavior and customer value.

The team is responsible for the business logic layer that transforms large volumes of data into meaningful outcomes through sophisticated logic and algorithms.

As a Senior Backend Engineer, you will work on data-heavy backend systems that operate at scale and power key product capabilities. You will design and implement complex logic and algorithms that run in production and require high reliability, performance, and correctness. You will work closely with data infrastructure teams, product, and other backend engineers, and take ownership over end-to-end features in a sensitive and evolving system.

Responsibilities:

• Own backend features end to end, from design and implementation to rollout and production stability
• Design and develop complex business logic and algorithms that operate on large datasets
• Work with data-intensive systems, with a strong focus on correctness, performance, and scalability
• Take responsibility for production quality, including debugging, investigating issues, and improving system stability
• Collaborate closely with data engineering, product, QA, and platform teams
• Participate actively in code reviews and help set engineering standards within the team
• Contribute to architectural decisions in a growing and evolving system
  
  

• 6+ years of hands-on experience as a backend engineer
• Strong experience with Python in production systems
• Proven experience designing and maintaining complex systems
• Strong understanding of backend systems that process data, including data models design, data transformations, and system-level data flows
• Experience working with relational databases and data-oriented workloads
• Ability to take ownership, work independently, and lead technical solutions
• Strong problem-solving skills and clear communication
  
  

• Experience working with data platforms or analytics systems
• Hands-on experience with Postgres ,ClickHouse or similar
• Experience working with Databricks, Spark, or large-scale data processing pipelines
• Familiarity with performance optimization and data-heavy queries
• Experience with cloud infrastructure (AWS preferred)
• Background in Computer Science, engineering, or equivalent practical experience