DataVisor
Tech Lead - Software Engineering
Mountain View, Santa Clara County · Staff+
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$17,075 more — $187,075 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $187,075 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one.
- This role is ideal for someone who enjoys solving complex distributed systems problems, mentoring engineers, and driving technical execution in a high-impact environment.
Responsibilities
- Own the technical direction of the real-time detection platform, including streaming, storage, and the training pipelines that support it.
- Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
- Mentor engineers and raise the bar for system design, code quality, operational excellence, and technical execution.
- Partner directly with Product, TAM, and customer-facing teams on customer-impacting issues, ensuring clear impact assessment, prioritization, ownership, and next steps.
- Build, evaluate, and improve LLM- and agent-assisted tools for engineering and operations use cases, such as triage, root-cause analysis, alert summarization, and evaluation harnesses.
Requirements
- 8+ years of software development experience.
- Deep production experience with Java, along with working proficiency in Python and Shell scripting.
- Strong knowledge of computer systems, relational databases, and SQL.
- Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka.
- Experience with the Spring Framework.
- Ability to set team-level standards for AI-assisted engineering, including how tools are used, how outputs are verified, and when AI-generated suggestions should be rejected.
- Bachelor's degree in Computer Science or a related field is required.
Nice to have
- Experience in fraud, risk, payments, financial services, or another domain where false negatives carry significant business or customer impact.
- Experience owning ML platforms or large-scale training pipelines.
- Experience with Kubernetes.
- Experience writing evaluations or regression tests for non-deterministic systems.
- Experience hiring, managing, or mentoring engineers.
- Experience with test-driven development.
Skills
- DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
- Come join us!
- As fraud attacks become increasingly sophisticated, real-time detection is more critical than ever.
Compensation
- $170,000-$220,000, commensurate with experience.
- Base salary range: $170,000-$220,000, commensurate with experience.
Benefits
- Health insurance, 401(k), PTO, Equity.
- Own the operational health of the platform, including alert quality, on-call load, incident follow-through, and root-cause prevention.
Company info
- Our culture is open, positive, collaborative, and results-driven.
- We are looking for a creative, hands-on engineering leader to help expand our streaming and database systems, improve our core detection algorithms, and automate the end-to-end training process.
This listing is sourced directly from DataVisor's careers page and normalized into a canonical job model.