寻找你的下一个职业机会

按职位、技能和地点搜索招聘信息。准备申请前,先仔细了解职位要求。

找到一个吸引人的职位名称只是求职的起点。请将工作职责、招聘要求和工作条件与你的实际经历进行比较。本指南帮助你筛选机会、准备有针对性的申请材料,并确认每份申请应该在哪里提交。

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

清除筛选

搜索结果: 13,996

← 返回搜索结果

Senior Software Engineer - Integrations (Evergreen)

HeroDevs, Inc.

远程工作

地点
Remote (United States)
工作安排
Full Time
发布日期
2026年10月14日

申请前,请在雇主网站确认职位仍在招聘,并检查完整要求和条件。

职位描述

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

Senior Software Engineer - Integrations About the job 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. Position Summary 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. 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 Required Qualifications 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) Preferred (Nice-to-Have) Skills 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 At HeroDevs, we believe in the power of diversity, equity, and inclusion to drive innovation, creativity, and success. We are committed to creating a workplace that embraces and celebrates individual differences. We encourage people of all backgrounds and experiences to apply. Originally posted on Himalayas

查找职位、比较要求,再准备申请

从你希望从事的职位或运用的技能开始搜索。调整地点和职业筛选,打开职位比较工作职责。如果没有结果,可以使用更短的关键词,或逐一移除筛选条件。

区分必备要求和优先条件,检查已列出的工作安排、薪资和地点。远程职位也可能要求特定居住国家、工作许可或工作时间重合。请向雇主确认职位信息和完整条件。

选择能够回应职位要求的真实经历,说明你的贡献,只使用能够证实的数字。遵循雇主的申请说明,并在提交前检查联系方式、文档内容和 PDF。

提交申请前的检查清单

求职常见问题

为什么有些职位使用英文?

职位名称和描述由招聘企业撰写。为避免改变招聘要求或工作条件,我们保留原文。操作界面和本指南使用简体中文。如果中文搜索没有结果,可以尝试使用职位发布语言中的名称或技能,例如“software engineer”。搜索词不会自动翻译,界面语言也不代表企业要求的申请语言。

远程职位是否允许从任何国家工作?

不一定。企业可能对居住国家、工作许可或工作时段有要求。请查看原始招聘页面中的具体条件。如果未说明,应先向企业确认,再判断能否从你所在的地区工作。“远程”标签本身并不代表没有地点限制。

搜索没有结果时应该怎么办?

尝试更通用的职位名称或单个技能,并逐一移除筛选条件。不同企业可能用不同名称描述相似工作。如果某个职位已经消失,请在企业招聘页面搜索其职位编号。扩大搜索范围不会让已经关闭的职位重新开放。

申请会通过 ResumizeAI 直接提交吗?

申请按钮会打开外部网站。请按照企业或招聘服务的说明,在该网站完成并确认提交。在 ResumizeAI 中准备简历并不等于已经申请职位。如果链接只打开企业网站,请先找到对应职位,再继续申请流程。

如何针对职位调整简历和求职信?

将招聘要求与能够解释清楚的项目、任务和成果联系起来。突出相关经历,不要添加未经实际掌握的技能或虚构成绩。在求职信中用具体例子说明申请动机,并遵守企业要求的语言和文件格式。提交前检查两份文件,确保内容准确、联系方式正确、链接可用。