Verified Tech Jobs & Hiring Companies, Updated Every 24 Hours
Direct career links to high-growth tech startups and Fortune 500 engineering teams across the United States, Europe, and Worldwide. We audit careers daily to ensure zero ghost listings and zero expired apply links.
All Verified Employers (630)
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The Verified Direct-Apply Tech Job Board
Landing a high-compensation software engineering, data, AI, or product role should not require fighting through zombie job posts, recruiter agency reposts, or expired links. KodeSword indexes verified tech career openings by connecting directly with corporate Applicant Tracking Systems (ATS) including Greenhouse, Lever, Ashby, and Workday. Every single role featured on this platform is active and routes straight to the hiring company’s career page.
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Why Tech Candidates Use KodeSword vs. Traditional Aggregators
- 100% Direct Corporate Links: Zero middleman recruiter reposts.
- Continuous 24h Pruning: Expired and filled listings removed daily.
- Comprehensive Salary Data: Compensation extracted from verified JDs.
- Zero Paywalls or Registration: Browse and apply completely free.
Frequently Asked Questions
- How often are tech job openings updated on KodeSword?
- Our crawlers sync with official company Applicant Tracking Systems (ATS) including Greenhouse, Lever, Workday, and Ashby every 24 hours. Expired or filled roles are pruned daily to prevent ghost job listings.
- Are these direct job applications or recruiter agency reposts?
- Every role links directly to the official corporate careers portal. There are zero intermediary recruiters, no paywalls, and no sponsored spam.
- What kinds of tech roles are listed on KodeSword?
- We index white-collar software engineering, AI/Machine Learning, DevOps, SRE, Cloud Infrastructure, Data Engineering, Cyber Security, and Technical Product Management roles across US hubs and remote companies.
Socotec
Actively Hiring9 open positions matching criteria
- Develop end-to-end data pipelines (ingestion, transformation, modeling, exposure) and contribute to the implementation of visualizations in Power BI or Databricks SQL. - Continuously improve the SOCOTEC Lakehouse, particularly in the areas of governance, quality, and data pseudonymization. - Experiment with generative AI solutions applied to data, such as Databricks GenIE, to transform text queries into actionable insights. - Bachelor's degree in Big Data, Computer Science, or Software Engineering with a strong specialization or appetite for data and distributed architectures. At least 3 years of experience in Data Engineering - Strong mastery of SQL and NoSQL databases (modeling, optimized queries, integrity, and performance). - Good understanding of Big Data architecture and distributed processing tools (Spark, Hadoop, Airflow, Kafka, Delta Lake, etc.). - Prior experience with Databricks would be appreciated. - Good communication skills in English or French. - Experience with collaborative development environments: Git, GitLab, Jupyter Notebooks, VS Code - Valued knowledge of AWS cloud services. - Familiarity with ETL/ELT principles, Data Lakehouse, and DataOps (CI/CD, monitoring, data quality). - Interest in emerging technologies, particularly Generative AI and its integration into Data platforms. - Team spirit, rigor, and sense of collaboration in an agile environment. - Technical curiosity and ability to quickly learn new tools and paradigms. - Autonomy, service-oriented mindset, an - Attractive salary and bonus with annual revision. - 42 hours per week (30 minute early finish every Friday), flexible working hours options - 15 annual leave days (Women) & 13 annual leave days (Men) - increasing with length of service & seniority, 15 working from home days each year - Team-building activities, Sport Clubs - Cooperation with colleagues around the world in a leading global group - Strong team spirit in an entrepreneurial environment of a growing company - People values, social responsibility, and sustainability. - Opportunities for self-development and career advancement - Internal training courses (technical, foreign language, soft skills)
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