- Senior AI Engineer – 5 + yrs backend + 2 + yrs ML/LLM; Python, SQL, AWS/GCP experience; comp + eq (https://www.opsinsecurity.com/jobs/senior-engineer-ai-engine...)
- Senior Full-Stack Engineer – 4–8 yrs shipping product; React/Next.js + API & DB design + Nest.js; TypeScript, Python a plus; comp + eq (https://www.opsinsecurity.com/jobs/senior-engineer-full-stac...)
- Staff Backend Engineer – 8 + yrs building scalable systems + 2 + yrs technical leadership; architect data-driven services for LLM security; comp + eq (https://www.opsinsecurity.com/jobs/staff-engineer-backend)
- Founding Account Executive – full-cycle sales to CISOs/CIOs; 5 + yrs enterprise SaaS; cybersecurity/Microsoft ecosystem a plus; ~50% travel; comp + eq (https://www.opsinsecurity.com/jobs/founding-account-executiv...)
Tech stack: Python, TypeScript (Nest.js), React (Next.js), Postgres, Azure, modern LLM tooling
How to apply: email your résumé + a short note to careers@opsinsecurity.com with subject “HN – [role]”, or apply on our careers page.
I’m Shay Nehmad, Founding Engineer at the company. Happy to answer questions at shay@opsinsecurity.com or on LinkedIn.
As a Data Engineer at Epic Kids, you will work closely with our development team, infrastructure team, and data team to design, build, and optimize data pipelines, ensuring data quality and security, while also collaborating with other teams to deliver effective data solutions.
Key Responsibilities:
Develop robust ETL/ELT pipelines to extract, transform, and load data from diverse sources into our data warehouse. Enhance and maintain our cloud-based data storage and processing systems for performance, reliability, and cost-efficiency. Implement rigorous data quality checks, monitoring, and security measures across all data assets. Proactive in identifying and addressing data inconsistencies and bottlenecks, continuously refining data infrastructure for robust and high-performing data solutions. Partners with data analysts and non-technical teams to understand data requirements and shape the development of effective data products. Job Qualifications: 5+ years of experience in data engineering, with a strong grasp of data warehousing, ETL/ELT principles, and data modeling. Experience with data storage solutions (e.g. relational, data lakes), cloud data platforms (e.g. GCP, AWS) and cloud-native data technologies (e.g. BigQuery, Snowflake). Experience with workflow orchestration tools (e.g. Airflow) Experience with infrastructure tools (e.g. Terraform, Kubernetes, Docker) is a plus. Salary Range: $150 to $200KIf you are a good SWE with bigquery + gcp experience that works too!
Please post your resume here: https://job-boards.greenhouse.io/epickids/jobs/6669024003