Sr./Staff Backend Engineer - Kafka

Reposted 23 Days Ago
2 Locations
Remote
Senior level
Artificial Intelligence • Fintech • Software • Financial Services
The Role
Design and optimize backend services using Java and AWS, with expertise in Apache Kafka for real-time data streams. Mentor engineers and ensure system reliability.
Summary Generated by Built In

Shape the future of trust in the age of AI
At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place.

Why join us:
  • Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer.

  • Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward.

  • Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk.

Job Description

We are looking for a Senior/Staff Backend Engineer with deep expertise in backend development. In this role, you will design, implement, and optimize services that leverage Apache Kafka to handle high-throughput, real-time data streams. You will also be responsible for scaling and maintaining databases such as Postgres, Redis, DynamoDB, and ClickHouse, all within a cloud-based AWS infrastructure.

This is a senior technical leadership role, where you will collaborate across teams, mentor engineers, and drive the scalability, performance, and reliability of Oscilar’s backend systems.

Responsibilities
  • Design, develop, and maintain scalable backend services using Java and AWS technologies.

  • Lead the architecture, deployment, and optimization of Apache Kafka to support real-time data streaming across distributed systems.

  • Build and manage Kafka topics, brokers, producers, and consumers, ensuring optimal performance and data consistency.

  • Implement streaming solutions with Kafka Streams and Kafka Connect, focusing on high availability and low-latency processing.

  • Collaborate with product, frontend, and data engineering teams to define technical requirements and deliver reliable, performant services.

  • Design and maintain high-performance data storage solutions using Postgres, Redis, ClickHouse, and DynamoDB.

  • Optimize database performance through schema design, indexing strategies, and resource partitioning.

  • Implement best practices for infrastructure security, performance monitoring, and data integrity.

  • Establish and maintain CI/CD pipelines for automated testing, deployment, and monitoring.

  • Provide mentorship to junior engineers, conduct code reviews, and promote best practices in software development.

  • Proactively identify and resolve performance bottlenecks and technical challenges in both streaming and database systems.

Requirements
  • Backend Development: 8+ years of experience with Java in large-scale, distributed environments.

  • Kafka Mastery: Extensive experience with Apache Kafka, including Kafka Streams, Kafka Connect, partitioning, replication, and consumer group management.

  • Cloud Infrastructure: Strong experience with AWS services (e.g., MSK, EC2, RDS, DynamoDB, S3, Lambda).

  • Distributed Systems: Solid understanding of distributed system design, messaging patterns, and eventual consistency.

  • Performance Optimization: Proven ability to diagnose and resolve bottlenecks in streaming and database systems.

Nice-to-have
  • Experience integrating Kafka with analytics solutions like ClickHouse.

  • Knowledge of event-driven architecture and streaming patterns like CQRS and event sourcing.

  • Hands-on experience with monitoring tools (e.g., Prometheus, Grafana, Kafka Manager).

  • Experience automating infrastructure with tools like Terraform or CloudFormation.

  • Proficiency with Postgres, Redis, ClickHouse, and DynamoDB. Experience with data modeling, query optimization, and high-transaction databases.

  • Familiarity with encryption, role-based access control, and secure API development.

Benefits
  • Compensation: Competitive salary and equity packages, including a 401k

  • Flexibility: Remote-first culture — work from anywhere

  • Health: 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)

  • Balance: Unlimited PTO policy

  • Technical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product

  • Culture: Family-Friendly environment; Regular team events and offsites

  • Development: Unparalleled learning and professional development opportunities

  • Gear: Home office setup assistance

  • Impact: Making the internet safer by protecting online transactions

If you are passionate about backend development, real-time streaming, and scalable data systems, join us at Oscilar and make an impact.

Top Skills

Apache Kafka
AWS
Clickhouse
CloudFormation
DynamoDB
Ec2
Grafana
Java
Lambda
Msk
Postgres
Prometheus
Rds
Redis
S3
Terraform
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The Company
HQ: Palo Alto, CA
104 Employees
Year Founded: 2021

What We Do

Oscilar is the leading provider of AI-native risk intelligence for financial institutions. Based in Palo Alto, California, Oscilar powers real-time risk decisioning across fraud, credit, and compliance through a single, unified solution. Our no-code AI Risk Decisioning™ platform leverages agentic AI and advanced signal processing to analyze complex data, detect
anomalies, and automate mission-critical decisions with speed and precision. Built by the team behind risk systems at Google, Meta, Uber, Citi, and J.P. Morgan, Oscilar combines deep technical expertise with cloud-native architecture to deliver scalability, transparency, and regulatory-grade performance. Oscilar empowers banks, fintechs, and digital asset services to navigate complex risk landscapes and grow with confidence in an AI-activated world.

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