---
title: 'Sr./Staff Backend Engineer - Java (India) at Oscilar'
canonical: 'https://feeny.ai/job/sr-staff-backend-engineer-java-india-oscilar-india-grhnscfm3jdd'
type: 'job'
last_seen: '2026-10-14'
---

# Sr./Staff Backend Engineer - Java (India) at Oscilar

- **Company:** Oscilar
- **Location:** India
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-25
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/oscilar/391606dc-7a8d-49c1-8bef-37b8531c35fa

## Job description

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](https://oscilar.com/careers).

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 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.

## What you'll do

- 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.

## What we're looking for

- 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.

## Benefits

- 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.

## About Oscilar

## Company Overview
- **One-liner**: Oscilar provides an AI-native risk decisioning platform that uses agentic AI to help financial institutions manage fraud, credit, onboarding, and AML compliance in real time.
- **Entity Type**: Private (startup stage; funding rounds not publicly disclosed)
- **Headquarters**: Palo Alto, California, USA
- **Founded**: 2021
- **Founders**: Neha Narkhede (CEO) and Sachin Kulkarni (CTO)

## Core Business
- **Primary industry**: Financial technology (fintech) / Risk management / AI
- **Target customers**: Banks, fintechs, credit unions, and digital organizations (B2B, enterprise)
- **Mission**: “Making the internet a safer place for everyone” — empowering businesses to master risk, defeat fraud, and safeguard consumers in the era of AI.

## Products & Services
- **Oscilar AI Risk Decisioning Platform**: A unified, cloud-native platform that leverages agentic AI for detection, decisioning, and resolution across fraud, credit, AML, and onboarding. It processes over 30 billion decisions per year at peak throughput of 120,000+ requests per second with sub-100ms latency. Key components include:
  - **Agent Hub**: A coordinated suite of AI agents (e.g., Workflows, RuleRec, Credit Explainability, Analytics, TestGen, Fraud Disputes, AML L1, SAR, Narratives, Translator, Sanctions, PEP, CTR) trained on each customer’s SOPs and risk context. Agents define policies, score alerts, generate investigation narratives, and learn from analyst feedback.
  - **No-code policy engine**: Risk teams can define and deploy new policies in plain language without SQL or engineering support.
  - **Holistic risk dashboard**: Monitors the entire customer journey — onboarding, login, payments, compliance — in one place.
  - **Explainable decisions & full auditability**: Every decision is transparent and defensible for regulatory scrutiny.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Processes 30B+ decisions per year; 120K+ requests per second; average latency <100ms. Employee count: ~104 (per Built In).
- **Notable Investors/Partners**: Not publicly listed from available sources. Advisors include Xin Ge (ex-CPO at Feedzai), Kevin Moss (ex-Chief Risk Officer at SoFi), Tomas Lobo (ex-Chief Technology & Risk Officer at Afterpay), and Rob Frohwein (co-founder of Kabbage, acquired by American Express).
- **Growth Signals**: Founded by Neha Narkhede (creator of Apache Kafka and co-founder of Confluent, NASDAQ: CFLT). Team built on deep risk experience from Meta, Uber, LinkedIn, Citi, and JPMorganChase. Currently hiring across multiple roles (33 jobs listed on Built In), indicating scaling. Remote-first culture supporting global talent acquisition.

## Competitive Advantages
- **Agentic AI tuned to customer data**: Models are trained on each institution’s own SOPs and risk patterns, retraining in days when patterns shift — not generic benchmarks.
- **Unified platform**: Covers fraud, credit, compliance, and AML in a single system, providing a holistic risk picture that competitors often address with siloed tools.
- **Low-latency, high-throughput architecture**: Proven at 120K+ req/s with sub-100ms latency, built by engineers who scaled 10-billion-requests-per-second systems at Meta.
- **Explainability & audit trails**: Full decision transparency for regulatory compliance, a critical differentiator for financial clients.
- **Feedback loop**: Analyst feedback continuously refines agent recommendations, improving over time.

## Strategic Focus
- **Deepen the Agent Hub**: Continue building and refining specialized AI agents for every risk decision type (fraud, AML, credit, sanctions, etc.).
- **Expand customer base**: Target more banks, fintechs, and digital organizations globally, with recent hires in sales and customer support (including Philippines office).
- **Maintain remote-first culture while scaling**: Leverage distributed talent to grow efficiently.
- **Invest in ML and generative AI**: Use cutting-edge tools to stay ahead of evolving fraud and compliance threats.

## Why Work Here
- **Remote-first culture**: Work from anywhere; company provides home office setup assistance.
- **Cutting-edge technology**: Opportunity to work on AI/ML at scale, tackling complex fraud and financial crime problems.
- **Elite team**: Collaborate with experts from Meta, Google, Uber, LinkedIn, Confluent, Citi, and JPMorganChase.
- **Values-driven**: Customer obsession, radical ownership, efficient growth, one team, bold vision with clear eyes.
- **Benefits**: Competitive salary and equity, unlimited PTO, comprehensive health/dental/vision insurance, regular team events and offsites, professional development opportunities.
- **Mission**: Direct impact on making the internet safer for legitimate customers and enabling financial institutions to grow confidently.

## Sources
1. [oscilar.com](https://oscilar.com) — Product overview, platform features, metrics
2. [oscilar.com/about-us](https://oscilar.com/about-us) — Leadership team, advisors, company origins
3. [oscilar.com/careers](https://oscilar.com/careers) — Culture, values, benefits, remote-first policy
4. [builtin.com](https://builtin.com/company/oscilar) — Employee count, year founded, job listings

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