Member of Technical Staff, Evidence Systems

Dipp AI Technologies, Inc.; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Medical, dental, and vision coverage

401(k) with company contribution

Hardware budget

Annual learning budget

Job summary

Dipp AI Technologies, Inc. is building an immutable ledger and evidence platform designed to survive external audits. You will architect append-only storage, verifiable inclusion proofs, and deterministic export formats to satisfy regulators and clients.

Join a team delivering regime-specific reporting for frameworks like SOC 2, HIPAA, and EU AI Act. You will own performance, cost, and external-audit readiness, writing documentation that auditors can follow without engineers on hand.

Qualifications

• 6+ years in backend or data infrastructure engineering.
• Has built or operated an audit, ledger, or compliance-grade data system in production.
• Experience supporting SOC 2, ISO 27001, HIPAA, or equivalent audits is a strong plus.

Responsibilities

• Design and operate an append-only, tamper-evident ledger with verifiable inclusion proofs.
• Build deterministic evidence export packages with signatures third parties can verify offline.
• Implement retention, legal hold, redaction, and jurisdictional handling without breaking verifiability.
• Build regime-specific report generation on top of a single canonical event model.
• Own ledger performance and cost at enterprise event volumes.
• Support external auditors and design-partner internal-audit teams during real reviews.

Skills

Durable storage

Event sourcing

Verifiable data structures

Education

BS or MS in Computer Science or related field

Job description

Build the append-only ledger and evidence packages that survive external audit.

Every decision Orcher makes produces evidence: what was requested, who was accountable, which policy applied, what the model did, and what committed. You will own the ledger that records it and the export path that turns it into an evidence package an external auditor can verify without trusting us.

This means append-only storage with tamper-evidence, deterministic export formats, retention and legal-hold behaviour, and regime-specific reporting for frameworks such as the EU AI Act, SOC 2, HIPAA, and sector-specific supervision.

The bar is simple and unforgiving: if the ledger cannot be independently verified, it is not evidence.

What you will do

• Design and operate an append-only, tamper-evident ledger with verifiable inclusion proofs.
• Build deterministic evidence export packages with signatures third parties can verify offline.
• Implement retention, legal hold, redaction, and jurisdictional handling without breaking verifiability.
• Build regime-specific report generation on top of a single canonical event model.
• Own ledger performance and cost at enterprise event volumes.
• Support external auditors and design-partner internal-audit teams during real reviews.

What we look for

• Strong experience with durable storage, event sourcing, or log-structured systems.
• Familiarity with Merkle structures, transparency logs, or verifiable data structures.
• Practical knowledge of retention, redaction, and privacy constraints in regulated data.
• Care for data integrity that borders on obsessive.
• Ability to write documentation an auditor can follow without an engineer present.
• Comfort operating what you build, including on-call for a system of record.

Experience

• 6+ years in backend or data infrastructure engineering.
• Has built or operated an audit, ledger, or compliance-grade data system in production.
• Experience supporting SOC 2, ISO 27001, HIPAA, or equivalent audits is a strong plus.

Education

• BS or MS in Computer Science, Information Systems, or a related technical field.
• Equivalent professional experience is accepted in place of a degree.

Compensation and benefits

• Meaningful equity with a standard four-year vest.
• Full medical, dental, and vision coverage.
• 401(k) with company contribution and a hardware budget.
• Annual learning and conference budget.