We secure the SaaS apps—Microsoft 365, Salesforce, and hundreds more—where modern business happens, blocking breaches *in real time*.
Why Obsidian?
- Founded 2017; backed by Greylock, Norwest, IVP, and others, now scaling toward IPO. - Trusted by Snowflake, T-Mobile, Pure Storage & 200+ enterprises on five continents. - Momentum: $90 M Series C, new AI-driven defenses, expanding partner ecosystem. Senior Threat Backend EngineerOwn the APIs, event pipelines, and extension logic that power our browser-native security product. Ship to prod the day you merge.
You will:
- Build & refine threat detections with our security research team. - Stream and enrich event data through Kafka → Postgres/Elasticsearch. - Extend our Chromium-based browser extension (WXT). - Add new SaaS services to the platform; optimize data stores for scale. Stack highlights: - Python + FastAPI / asyncio - TypeScript + WXT - Rust micro-services - Kafka - Docker/K8s - Postgres & Elasticsearch You bring: - 4–6 yrs software engineering (cyber-security a plus). - Deep Python async skills; Kafka & K8s in production. - DB mastery (Postgres + Elastic). - Clear communication & bias toward ownership. Apply here: https://grnh.se/a646066d8usHi all, I’m Yuriy, founder of Puma.tech. Previously worked as software engineer & developer advocate at Cloudant (YC S08, Acq. by IBM), Meteor (YC S11), Parse (YC S11, Facebook/Meta), and explored Ai/ML (computer vision for self-driving cars).
We have 2 main products:
1. Puma Browser with built in LLMs & Wallets. Private by design. Future of the web is agentic – come help us explore best ways to shape it.
2. Puma Network that we're just starting to build out – a way to store and share your memories, context and credentials and provide access to other apps.
If either is exciting to you – please reach out.
We’ve raised a few rounds from some of the best builders in crypto and ai:
Protocol Labs (YC S14), Chris Larsen (Ripple), Don Ho (Orange DAO, Quantstamp W18), Toly (Solana), Illia Polosukhin (NEAR Protocol), Sridhar Ramaswamy (Snowflake CEO, Neeva, Greylock), Jason Warner (poolside.ai, ex-GitHub CTO), Evil Rabbit (Vercel), John Pham (SF Compute) and other amazing builders.
We value Optimism, Kindness, Curiosity, Speed and Grit.
Open Roles: Eng (iOS/MacOS, Android, Ai/ML, Browser Extensions), Based Social Media Intern; Internships: Eng, Design, Growth
How to Apply: visit https://puma.tech or email careers+hn [at] puma.tech with your GitHub, a note on what you're most proud of building and what you'd like to build next.
Thank you!
Stack: AWS, Snowflake, Argo, dbt, Terraform, Airbyte, JetStreamWork style: Hybrid in NYC. In-office up to 3 days per week.Target compensation: $120,000 - $160,000 + equity
Apply here: https://job-boards.greenhouse.io/garnerhealth/jobs/552040000... or email Jonathan.Cutrell [at] getgarner [dot] com
Archera empowers organizations of all sizes to optimize their cloud costs through unique, short-term, insured GRI (Guaranteed Reserved Instance) and GSP (Guaranteed Savings Plan) commitments.
We’re looking for a Senior Data Engineer to build and scale the data backbone of Archera’s cloud cost optimization products. This role focuses on architecting large-scale data pipelines that process cloud billing and usage data across AWS, Azure, and GCP. You’ll work across OLTP and OLAP systems to ensure our data infrastructure is performant, reliable, and purpose-built for FinOps. Your work will enable accurate cost modeling, insights, and automation that directly power Archera’s cloud rate insurance platform.
Stack: Python (SQLAlchemy, Flask), TypeScript (React), PostgreSQL, Snowflake, Argo Workflows, k8s, AWS/GCP/Azure
Benefits: RRSP/401k match, healthcare, stock, wework/home office expenses.
Apply: https://job-boards.greenhouse.io/archera/jobs/4788177008 and email me at simon+hn <at> archera <dot> ai
About us: Fancy ETL pipeline which processes products from huge ecommerce companies. Data extraction and massage, delivery to destinations like Google/Meta/TikTok/etc. Profitable, 15+ yrs stable, 100% employee-owned. No VC, no pointless meetings, just serious coding.
Stack: Python/Django, JavaScript, VueJS, PostgreSQL, Snowflake, Docker, Git, AWS, AI/LLM integrations (OpenAI & Gemini).
Compensation: $150K–$250K USD/year DOE.
You: Senior dev who's seen (and fixed) enough dumpster-fire code to last a lifetime. Python/Django deeply internalized; ideally Vue (or React) skills as well. Git/Docker/REST are second nature. You’re the coder other devs come to when their stuff breaks: an architect-level thinker who’s rewritten ‘clever’ code into something that actually works. You play well with others and write code that’s easy to live with. Bonus: AI integrations, Py2→Py3 migrations, Snowflake (or Databricks) experience.
Timezones: Primary time zone is PST (some standups at 9AM PST). Otherwise async-friendly.
Benefits: 401K match (USA), healthcare, equity, fully remote. Stable company with no time-wasters.
Apply: email jobs+hn252 [the-at-mark-thing] versafeed [the-period-thing] com
We are a new discretionary, tech industry focused hedge fund, founded by a portfolio manager with 15+ years of experience at a Tiger Cub. I lead the data/technology team here and previously spent ~6 years in a similar role at a well known Tiger Cub and briefly running a data startup.
We are hiring for: - Frontend senior/staff engineer for our internal research management web application - VP Eng, to lead data engineering + fullstack development (this is a player-coach role, with a lot of IC work expected; it is a small team)
Our tech stack: * Frontend: Typescript, Vue3 * Backend: Cloudflare, Supabase/Postgresql, Typescript *
On the data side: AWS, Cloudflare, Snowflake, Clickhouse, Dagster
Obviously, we are not the only ones trying to figure out how to use AI in investing but in a world where there are lots of people trying to build picks & shovels, this is an opportunity to be one of the goldminers at a greenfield, new firm. This role makes sense for people who are interested in finance/investing (although you do not necessarily have to have experience in the industry).
We're in full-time in office in NYC, so that's a requirement for FTE.
We work very hard, hours are long, and people are very dedicated to the mission. It is not for everyone, but for those interested in competing in financial markets, love startup atmosphere without near-term existential risk, and want to work with super smart colleagues (both technical and investors!), this could be a great fit.
I write about hedge fund data teams frequently here, if you are just interested in learning about the space: https://magis.substack.com/
Target salary 180-250K, depending on experience + Bonus/Carry (hedge fund equity equivalent)
Contact: I am at ai dot nx1 dot com (I'm Alex, ai are my initials... you are not being sent to an ai :] )