Pliant is rethinking corporate credit cards. Since 2020, we’ve been empowering companies to scale with modern virtual and physical card issuing, automated payment flows, real-time spend tracking, and a clean API that plugs directly into their finance stack.
Our tech stack: Java/Kotlin, Spring Boot 3, Postgres, Kafka, AWS, Terraform.
Our culture: low-ego, no-bullshit, high-ownership. Empowered product teams working closely with strong PMs. Pragmatic, impact-driven engineering. “Getting sh*t done” mindset encouraged.
If this sounds like your kind of place, reach out directly to me (Head of Engineering): rajat.parida@getpliant.com
or apply here: https://www.getpliant.com/en/careers/
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.
Kernel is building the data backbone for commercial real estate — converting messy CRE documents into structured, decision-ready data using ML and distributed systems. It’s a $20T+ market still trapped in PDFs and siloed tools, so the impact is immediate and real.
We’re an engineering-first company — our technical breakthroughs set the direction for what we can commercialize. Our team is small, senior, and high-trust. Every engineer owns production systems and directly shapes the platform’s capabilities.
You’ll design and own backend systems powering AI-driven pipelines: async FastAPI services, SQLAlchemy 2.x models, event-driven ingestion workflows (Pulsar/Kafka), multi-tenant auth (OIDC/JWT), Kubernetes deployments, and full observability.
Stack: Python 3.12+, FastAPI, AsyncIO, SQLAlchemy 2.x, Pulsar/Kafka, OIDC/JWT, Kubernetes, GitOps/Terraform, OpenTelemetry, Prometheus.
Comp: $150k–$200k + up to 3% equity
Apply → https://kernel-intelligence.breezy.hr/p/99e076eed192-backend...
Moment is building core infrastructure for fixed-income, the world's largest asset class (4M+ instruments, $150T total market). We work with some of the largest financial institutions to bring all of their fixed-income operations into a single platform.
Cool things we've built include a liquidity-aware portfolio optimizer, high-cardinality market data pipelines, and a best-in-class trading system and ledger. Backend stack is generally Go/Kafka/Postgres on ECS, though some of the quant-ier services are built in Python. Frontend stack is NextJS. Company stack is Slack/Linear/Notion.
Roles:
- Distributed systems engineer: build features + scale systems to model, optimize, and support an idiosyncratic, complicated domain
- Product engineer: build beautiful, powerful interfaces that put these new capabilities in the hands of asset managers, financial advisors, traders, and more.
See more + apply at https://moment.com/careers.