At SentiLink, we stop identity fraud at scale. Our products protect banks, fintechs, marketplaces, and leading financial institutions from synthetic identity fraud, identity theft, and emerging threats — analyzing millions of applications while keeping real users moving fast.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
We’re a small, high-impact team solving one of the most interesting and adversarial problems in fintech: how do you build systems that reliably determine whether a real human is on the other side of a financial transaction? We’re hiring across Engineering (Full-stack and Infra) and Data Science / ML roles. Hiring at Manager/Director level as well as mid-level/Senior levels. We’re language-agnostic and hire for fundamentals.
Across the team you’ll see: • Python, Go, Rust, Scala • PostgreSQL, Snowflake • Kafka, Redis • Terraform, Kubernetes • ML: XGBoost, PyTorch, Feature stores, real-time scoring pipelines
If you love solving complex distributed systems challenges, building customer-facing ML products, or working on detection systems that must be both high-precision and low-latency, you’ll fit right in.
Roles are here: https://jobs.ashbyhq.com/sentilink?utm_source=hacker_news If you have questions, feel free to reach out directly at liz.woodfield at sentilink dot com.
We’re building an AI platform for construction: offline-first mobile/web apps that automate jobsite workflows, understand documents and blueprints, and connect the field to the office.
Looking for a strong mobile engineer to own our React Native/Expo app for iOS + Android, plus parts of our TypeScript web app. Backend is Scala/Play + PostgreSQL.
You’ll build for real field conditions: no signal, gloves, sun glare, dusty tablets, large blueprints, high-res photos, and messy jobsite data.
Useful experience:
* React Native / Expo * Modern TypeScript web apps * Offline-first apps, SQLite, sync, conflict resolution * App Store / Google Play deployment * AI APIs: LLMs, vision, speech-to-text
3+ years experience preferred. Strong English communication required. Construction/logistics/field-industry experience is a plus.
Competitive salary, health/dental/vision, high autonomy, early team impact.
Contact: careers@klutchlabs.ai
Senzing builds enterprise entity-resolution SDK technology — an embeddable library that runs entirely inside customer infrastructure with zero data exfiltration. We're hiring a platform engineer to own AWS infrastructure for Placekey (our location-data subsidiary, production API at scale) and support Senzing's core ops.
This isn't a keep-the-lights-on role. We just completed an infra migration and are actively modernizing. You'd own day-to-day operations, harden the new environment, and have real input on where it goes.
Stack: EKS Fargate, Aurora PostgreSQL, S3, Lambda, Cloudflare, API gateway (Kong/AWS), Terraform, Grafana/CloudWatch/Datadog. Apps are Scala and Rust. Looking for: 5+ years platform/cloud infra, production Kubernetes (EKS ideal), managed Postgres (backup/recovery/tuning), IaC, solid networking, strong Python/Bash.
Remote anywhere in the USA. Competitive salary, full health/dental/vision, 401(k) match, flexible PTO.
To apply: email enghiring@senzing.com with your resume and a short note — tell us about a challenging production system you've owned end to end, including an incident where your monitoring missed something and what you changed afterward.