Company: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: space situational awareness (monitoring the locations, health and status of on-orbit satellites), image simulation, high power microwave systems, modeling and simulation, laser systems modeling, AI/ML including physics-informed neural networks (PINN), human body thermoregulation, computer vision and image processing, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.
Experience: Except for interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field. Masters or PhD is a plus. (Roughly 25% of our staff have PhDs.)
Technologies: Lots of C++23, Qt 6.9, CMake, git, OpenGL, CUDA, Boost, Jenkins. Windows and Linux, msvc/gcc/clang/clangcl. AI/ML and analysis projects use Python and C++. Web projects use Java and Typescript/React. We're a bit behind the curve on developer AI adoption, and we're okay with that.
Apply online: at https://www.stellarscience.com/careers/.
All roles are for a large N. American bank working on or adjacent to trading systems for various asset classes (equities, FX, fixed income, commodities).
Looking for top-notch senior+ engineers. Must be a great engineer who understands their craft in-depth. Prefer people who strive to understand the business domain and don't merely follow verbatim Jira stories. Some roles require capital markets experience (details in job posts below). Long term engagements. 100% remote, but only for people based out of Poland or Romania.
Details at https://vistulo.com/roles/hn0607/ . Apply via link in job post. If you know someone who could be great for the role, referrals are welcome (see details in ad).
We’re a small UK-based free-to-play gaming company with a distributed EU team, growing fast after recent success and scaling our backend platform. We’re looking for two roles:
- mid-senior to senior engineer with at least 5+ years of experience. - Mid-senior devops engineer, minimum 5+ years of experience.
Backend: Strong in backend development, ideally Java, but open to those willing to learn. DevOps experience is a plus, or a strong desire to learn it.You’ll be expected to do devops as part of this role. Devops: Your main role will be devops on AWS. Willingness to learn Java. Expected to have familiarity with terraform, kubernetes, ec2, ALBs, route53, cloudflare.
Our stack includes Java, Python, TypeScript, Angular, SQL, AWS, Kubernetes, Postgres, Trino, Flux, Flagger, and Terraform.
Our engineers must be able to think product-first, and take a task from idea to production, work across the full cycle. You must write your own code, AI assistance is fine, but you must be able to produce all your work independently. No Cursor. We are looking for candidates that can write SQL when needed, our approach when it comes to the DB is SQL first. We also value clear thinking and communication, you should be comfortable sketching simple architecture or flow diagrams (boxes and lines, nothing formal) to explain your ideas.
To apply, please send an email to jack[at]splash.tech with the subject “Backend Hackernews 2026” or “Devops Hackernews 2026”. Please send any git/bitbucket/source-forge project that represents your coding otherwise I’ll ask you to complete a small test project.
DV Scibids is the AI-powered digital campaign activation arm of DoubleVerify — the market standard for digital media measurement trusted by hundreds of Fortune 500 brands. Our Data Engineering team owns the critical integrations and data flows that connect Scibids' optimization engine to the broader adtech ecosystem.
In this role you will own and build backend services and data pipelines that power product expansion — exploring external partner APIs, designing reliable ingestion and reconciliation layers, exposing internal endpoints for other DV teams, and keeping production systems observable and performant at scale.
Stack: Python, SQL, BigQuery, Cloud SQL, Cloud Datastore, Cloud Run (GCP), Prefect, Docker, CI/CD, Git. Java or Rust a plus.
Looking for: 3+ years in data engineering or backend engineering. Strong Python and SQL. Experience integrating with external APIs and operating production data systems at scale. Comfort with cloud-native environments and modern engineering practices. AdTech/auction-system familiarity is a plus, not required. We use an AI-augmented dev style — familiarity with Claude Code or Cursor is welcome but not mandatory.
Apply: https://boards.greenhouse.io/doubleverify/jobs/7513841002