Software Engineer with 4 years of experience, primarily focused on backend and platform engineering using Node.js, TypeScript, AWS, PostgreSQL, Redis, and event-driven systems.
Most recently worked as a Software Engineer II contractor at Deliveroo, improving production CRM data pipelines and lifecycle orchestration using AWS Lambda, SQS, PostgreSQL, Snowflake, Go, and Datadog. Earlier experience includes leading a migration of approximately 400,000 users, updating around 500 APIs, improving application performance with Redis caching, and building production services end to end.
Interested in Backend Engineer, Platform Engineer, Full-Stack Engineer, or early-stage/founding engineering opportunities.
Technologies: Node.js, TypeScript, JavaScript, React, AWS, PostgreSQL, MongoDB, Redis, Kafka, SQS, Lambda, Docker, Terraform, REST APIs, microservices, Datadog, CI/CD, Go
GitHub: https://github.com/Samiksha-sudo LinkedIn: https://www.linkedin.com/in/samiksha-kad-ab66051a9/ Portfolio: https://mycreportfolio.com/samiksha
We're bootstrapped, profitable, and 130 people, all remote, building an AI-powered CRM. We're spinning up a new Backend Platforms team and you'd be one of the first hires — unusual influence over what it owns.
You'd build for other engineers: the paved-road patterns under our Python/Flask API layer (REST + GraphQL, auth, permissions, migrations), the Flask→FastAPI path, production observability standards, and our AI dev platform — DevDawg (cloud dev environments for the whole stack) and Spice (our agent layer that already auto-approves simple PRs). Making Spice safe across more of our review surface is the team's biggest project.
Stack: Python, Flask, FastAPI, GraphQL, TaskTiger, Rust, TypeScript, Kafka, Redis, MongoDB, PostgreSQL, Elasticsearch, Docker, Kubernetes, AWS.
Looking for: deep Python, shipped LLM/agentic work to real users, daily coding-agent use with a real POV, strong observability and API design instincts.
Also: ~5 weeks PTO + winter break, optional 4-day week at 80% pay, 1-month sabbatical every 5 years, 99% of medical premiums covered, 401k match to 6%.
Our code: https://github.com/closeio (TaskTiger, SocketShark, ciso8601) Eng blog: https://making.close.com Apply: https://jobs.ashbyhq.com/close/5bf4629b-d2ee-4129-980f-e31b9...
Primarily hiring in the U.S. for more senior level roles.
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.
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 threat. We analyze 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?
Hiya's Voice Intelligence Platform protects 500M+ users from spam, fraud, and deepfake scam calls, and gives businesses branded, verified caller ID so the calls that matter get answered.
We're hiring a senior backend engineer for a small foundational team building our next-generation voice products from scratch: real-time SIP/RTP media handling, STT/TTS pipelines with tight latency budgets, deepfake detection and speaker verification, and conversational AI, all integrated directly into carrier networks. It's greenfield, so you'll be making the early architecture decisions, not maintaining legacy services.
Stack: TypeScript/Node.js, Python, Kafka, Docker/Kubernetes on AWS. Telephony experience (SIP, RTP, WebRTC) is a plus, not required. Team is distributed across Seattle and Europe, async-first; 3 days/week in the Seattle office.
Apply: https://jobs.ashbyhq.com/hiya/2de4d41b-a919-48c4-9a6c-e0d4f3...
Black Canyon Consulting (BCC) is hiring Platform Systems Engineers of all levels to join our team at the National Center for Biotechnology Information (NCBI). Our team is dedicated to building cutting-edge tools and systems. Our mission is to empower developers across NCBI to build, deploy, and manage software, data, and web services that make a real difference in the lives of millions of Americans.
Your contributions will play a crucial role in modernizing government technology infrastructure, fostering innovation, and ultimately making a tangible impact on communities across the country and globally. This is your chance to be part of a mission-driven team that’s shaping the future of digital government.
Tech: Linux, k8s, Service Mesh, Kafka, GitLab, ArgoCD, Elastic APM, Python, C++
DevEx Eng: https://job-boards.greenhouse.io/blackcanyonconsulting/jobs/... Sr DevEx Eng: https://job-boards.greenhouse.io/blackcanyonconsulting/jobs/...
Plaform Eng Manager: https://job-boards.greenhouse.io/blackcanyonconsulting/jobs/...
Hey, we are a finops/cloud optimization company that also helps some of our clients with their hiring needs. For one of them (a solid healthcare data company) we're looking for a Senior Data Engineer.
The legal stuff: You need to live in the USA and be under one of the following conditions: a) US citizen b) Green Card holder c) Sole owner of your own LLC company (not co-owner, sole owner)
Sadly, all other options are not possible, like H1B, OPT, EAD, or CPT visas, are not possible for us.
80-90 USD per hour, changes of going a bit above if the candidate is amazing.
The tech stuff: 7 yoe (5 of which building production-grade data or platform services), AWS-heavy (if you're stronger on Azure or GCP, then it's not for you, sorry), Python, SQL, dbt, (Snowflake OR BigQuery OR Redshift), Spark, Kafka, (Iceberg OR Delta OR Hudi), (Airflow OR Dagster OR Prefect), CI/CD, Docker, AWS.
Here's the JD, where you can apply - https://virtasant.teamtailor.com/jobs/7563920-senior-data-en...
Thank you!
I'm hiring for a frontline EM building the automation and trust layer for freight pricing, matching, onboarding, and settlement.Lead 1-3 teams (FTE + contractors), own delivery end-to-end, ~8 yrs exp typical. I expect everyone in my eng org (myself included!) to be technical and be able to help unblock the team, though your day-to-day wont be in the code.
Technical here means you can/will get into the code yourself and architecture reviews and maintain technical credibility with our junior to staff/principal level engineers. These are not player-coach roles, but these are frontline roles that need that technical capability.
Interesting problems: trust/fraud at marketplace scale; legacy-data-meets-modern-stack; and all kinds of problems that come with powering hundreds of thousands of load/shipment postings every day.
AI/LLM: We are leaned in, but still hold humans responsible for what they push and expect everyone to review and understand llm output before asking other humans to look at a thing.
Culture: I am deeply familiar with Google's project oxygen/aristotle and am building a culture where our teams can do great work with minimal bs.
Location: Must be local to one of our three locations (Seattle, Portland, Denver).
Primary Tech: Node/TS, React, GraphQL, Kafka/redpanda, k8s, AWS, etc
https://careers.dat.com/jobs/?gh_jid=6139594004
Reach out directly at <fname>.<lname>+hn@dat.com; I am the hiring manager for these roles. I'll junk anything that smells of AI.
My profile and background: https://www.linkedin.com/in/kelvin-luu/
Justworks helps small businesses manage payroll, benefits, HR, and compliance so they can focus on running their business.
We’re hiring an Associate Software Engineer for our Toronto Expenses pod. You’ll work alongside 3–4 senior engineers building expense submissions, approvals and reimbursements, while helping migrate services from Ruby/Rails to Go and develop AI-powered features.
We’re looking for:
• 1+ year of professional software engineering experience • Experience with a modern server-side language and interest in learning Go • Knowledge of REST APIs, SQL, and relational data models • A product-minded, customer-focused approach • Curiosity about AI-assisted development Our stack includes Go, Ruby on Rails, JavaScript, MySQL, Kafka, AWS, Redis, Docker, Terraform, Kubernetes, CircleCI, and Datadog.Apply: https://grnh.se/wlv9zr391us
Hiring for ~10 eng roles listed at astronomer.io/careers, but the focus is specifically on distributed systems, observability, and applied AI.
Astronomer is a primary contributor to Apache Airflow and offers our customers a managed Airflow service with a similar business model as Databricks with Spark or Confluent with Kafka. Our tech stack is primarily Go, Python, and TypeScript. The problems we work on generally center around (1) building out our commercial managed Airflow offering, (2) building a data + infra observability stack on top of Airflow, and (3) building AI products and experiences that are genuinely load-bearing and additive to our customers experience on the platform.
We're also starting to write more about the work we're doing, this is pretty representative: https://www.astronomer.io/blog/astro-airflow-re-engineered-f...
Apply using our website or email me - my email is [firstname]@astronomer.io. Include HN in the subject to make sure I don't miss it! If you're emailing me, please include your resume, GitHub and a short note on what you deem to be the most interesting thing you've worked on.