Senior/Staff Backend Engineer
Oscilar
Senior/Staff Backend Engineer
Oscilar
Real-time fraud detection with no-code engine
Location
Remote (India)
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.
As a Senior/Staff Backend Engineer, you'll own critical parts of the platform that banks and fintechs use to make real-time fraud, credit, and compliance decisions. You'll join a small, senior team where your technical decisions have direct impact.
Own features end to end: turn an idea or customer problem into a design, build it, ship it safely (GitHub Actions, feature flags with LaunchDarkly), and keep it running well in production.
Build and scale the Java services at the core of our decisioning platform, where latency and reliability directly affect our customers.
Work on real-time streaming and data systems (Kafka, Flink, ClickHouse, Databricks) handling high event volumes with tight latency requirements.
Build reliable processes with workflow orchestration (e.g. Temporal).
Make technical decisions, not just implement them: propose architecture, weigh trade-offs, and write design docs.
Work directly with product, frontend, and customer-facing teams to understand the problem before writing code.
Own production: monitoring, performance tuning, and fixing root causes, not symptoms.
Raise the engineering bar through code reviews, knowledge sharing, and helping others grow.
5+ years of backend development, with deep expertise in Java and its ecosystem.
A track record of taking work from initial concept to production with minimal hand-holding. You're comfortable with ambiguity and know when to ask questions and when to make a call.
Solid experience building and operating low-latency, high-scale distributed systems in production.
Hands-on experience with AWS, microservices, and containers (Docker, Kubernetes).
Experience with event streaming and data systems such as Kafka, ClickHouse, PostgreSQL, and Redis.
Good understanding of API design and security best practices.
Strong written and verbal communication skills. We work async a lot, and Claude is part of how we work every day, connected to Slack, Notion, Linear, GitHub, etc.
Nice to have (not required)
Experience with Flink, Temporal, or Databricks.
Experience in fintech, fraud prevention, risk, or payments.
A degree in Computer Science, Software Engineering, or a related field.
Experience using AI coding agents (e.g. Claude Code) in day-to-day development.
Remote-first culture: 100% remote team, and healthy overlap with our teams in Brazil, Poland, Uk, Canada and the US.
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 (2025: Mexico City, Mexico; 2026: Miami, Florida; 2027: Cancún, Mexico).
Development: Unparalleled learning and professional development opportunities.
Equipment: the latest MacBook or a Linux machine if you prefer.
If you are passionate about backend development, real-time streaming, and scalable data systems, join us at Oscilar and make an impact.
Oscilar operates in financial technology, offering a real-time fraud detection and risk management platform. It provides a no-code smart decision engine that combines machine learning and heuristic methods, enabling users to create and manage fraud rules and features through a user-friendly interface. The product works by letting financial institutions, e-commerce firms, and other businesses configure and deploy detection rules without heavy engineering effort, with real-time scoring and risk assessment fed by integrated ML models and heuristic checks. The company differentiates itself from competitors by focusing on a no-code rule-building experience, rapid rule creation and updates, and a subscription-based model that reduces the need for bespoke engineering work. Its goal is to help clients quickly implement and adjust fraud detection rules, enhancing operational agility and security while scaling with business needs.
Explore more opportunities at Oscilar