Senior Software Engineer - Integrations (Evergreen)

HeroDevs, Inc.•Salt Lake City, UT

About The Position

HeroDevs is hiring a Senior Software Engineer for our Evergreen team. HeroDevs keeps critical open-source software secure long after it reaches end of life. The Evergreen team owns EOLDS, our end-of-life dataset, which internal teams and integration partners rely on to understand which open-source software has reached end of life, the risk that carries, and how to remediate it. We also build the systems that turn that data into packages our partners can consume, and we need those systems to produce packages at scale when a partner needs them. We're looking for a Senior Software Engineer to help take EOLDS to its next stage. You'll help build the pipelines that let us generate and publish large numbers of packages for partners on demand. This is a high-ownership role. You'll make design decisions, set patterns for the team, and work closely with partner-facing teams to understand what partners need from the data.

Requirements

5+ years of professional software engineering experience, with significant time spent building data-intensive systems or data pipelines in production
Proficiency in TypeScript/JavaScript (Node.js)
Experience with event streaming platforms such as Kafka, and with data lakes or data warehouses
Strong SQL and data modeling skills
Experience designing data validation and data quality checks for datasets other teams or customers depend on
Comfort reasoning about scoring, ranking, or heuristic systems, such as weighted models or risk scores, and explaining their tradeoffs
Experience building build, release, or publishing automation, including CI/CD pipelines
The ability to dig into an unfamiliar system, figure out how it works, and write it down so others can understand it
Strong written communication and the ability to drive technical decisions in a distributed team
Bachelor's degree in Computer Science or a related field, or equivalent practical experience
Experience with git-based software development (preferably on GitHub)

Nice To Haves

Familiarity with vulnerability data and scoring, such as CVEs, CVSS, EPSS, CISA KEV, OSV, or GitHub Security Advisories
Experience with package ecosystems and their publishing workflows, such as npm, Maven, PyPI, RPM, or Debian packaging
Experience with schema registries and serialization formats such as Avro or Protobuf
Experience with lakehouse table formats such as Apache Iceberg, Delta Lake, or Parquet-based storage
Background in software supply chain security, including SBOMs, artifact signing, or provenance (e.g., Sigstore, SLSA)
Experience working with enterprise partners on data delivery or integrations
Experience mentoring engineers or acting as a technical lead
Interest in open-source software and long-term maintenance of critical software
Experience with Temporal Cloud or similar orchestration solutions
Experience with OpenSearch and/or ElasticSearch
Experience with OTEL/opentelemetry and Grafana
Experience with Argo UI

Responsibilities

Improve EOLDS data quality through validation, deduplication, provenance tracking, and automated checks that catch regressions before they reach partners
Investigate and document how our current risk heuristics work, including their inputs, assumptions, and edge cases
Design and build a multi-model risk scoring framework that supports different risk profiles for remediation, including CVE-centric models alongside our existing heuristics
Build weighted, configurable scoring so risk profiles can be tuned per partner or use case, with clear explanations of how a score was produced
Integrate EOLDS with Kafka and our data lake, including event schemas, producers and consumers, backfills, and consistency between systems
Build automated pipelines that can generate, version, and publish large numbers of packages for partners on demand, reliably and reproducibly
Add monitoring and data quality metrics so problems with the dataset, scoring, or package delivery surface quickly
Work with product and partner-facing teams to translate partner requirements into data and scoring changes
Write services and tooling in TypeScript/Node.js, with automated testing and CI/CD
Review code and designs, mentor other engineers, and help raise the team's engineering bar
Write clear documentation for the dataset, scoring models, and pipelines you build
Work to automate package requests from our partners