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About Vericence Vericence is a digital engineering and technology consulting firm helping enterprises build AI-driven platforms, modernize legacy systems, and scale innovation through cloud, data, and intelligent engineering. We partner with global organizations to deliver high-impact technology solutions and build world-class engineering teams. Security & IAM Engineer Lead the design and implementation of secure, governed, least-privilege identity, access, data-protection, and AI security controls for the OCI AIDP Lakehouse platform. Job Description We are seeking an experienced Security & IAM Engineer to secure and govern the OCI AIDP Lakehouse platform across identity, access, data protection, cloud security posture, audit readiness, and AI-enabled consumption patterns. This role will implement secure-by-design controls across Oracle Cloud Infrastructure, including IAM policies, compartments, dynamic groups, federation, network security, encryption, secrets management, Cloud Guard, Data Safe, logging, monitoring, and evidence-generation patterns required for regulated healthcare data environments. This role reports to the Principal Data Engineering Lead and operates within the Data Governance, AI & Analytics organization as part of the Enterprise Data Lakehouse Architecture and Platform team. The ideal candidate brings hands-on experience securing cloud-native data platforms, implementing least-privilege IAM, protecting PHI and sensitive data, supporting compliance programs, and enabling secure GenAI, RAG, vector search, and agentic workflow adoption without weakening governance, privacy, or operational controls. What You Will Do OCI Security and Identity Architecture Design, implement, and maintain OCI IAM policies, groups, dynamic groups, service principals, federation patterns, compartment structures, tenancy guardrails, and least-privilege access models for human and non-human identities. Configure and operationalize OCI security capabilities, including Vault, key management, secrets management, Security Zones, Cloud Guard, Logging, Monitoring, audit trails, network security controls, and security posture management. Partner with platform architecture, DevOps, infrastructure, and engineering teams to embed security controls into infrastructure-as-code, CI/CD pipelines, environment promotion gates, and production deployment patterns. Troubleshoot complex authentication, authorization, access, and security configuration issues while maintaining clear documentation, stakeholder communication, and operational continuity. Data Protection, PHI Controls, and Governed Access Implement PHI discovery, sensitive-data classification, masking, tokenization, encryption, privileged access monitoring, and secure consumption patterns using OCI Data Safe and enterprise-approved security tooling. Define and support row-level, column-level, attribute-based, and role-based access controls for governed data products, semantic layers, analytics consumers, AI workloads, and operational support teams. Ensure source-data permissions, classifications, lineage, metadata, and quality signals are inherited by downstream lakehouse, semantic, vector, RAG, and GenAI consumption patterns. Develop reusable security patterns for enterprise domains such as Provider, Product, Claims, Member, Finance, and future acquisition data sources. Compliance, Audit Readiness, and Security Operations Support HIPAA-oriented, privacy-sensitive, and regulated-data control requirements through audit logging, traceability, evidence capture, access reviews, control testing, remediation tracking, and operational reporting. Configure logging, monitoring, alerting, SIEM integrations, vulnerability-management workflows, and investigation patterns to improve detection, response, and forensic readiness across OCI workloads. Partner with governance, risk, legal, privacy, compliance, platform, and engineering stakeholders to validate control effectiveness and maintain audit-ready security documentation. Contribute to incident response, threat modeling, architecture reviews, control exception analysis, and continuous improvement of cloud security operations. AI Security and Responsible AI Guardrails Establish security guardrails for GenAI, RAG, embeddings, vector indexes, semantic models, agent identities, scoped permissions, prompt handling, context retention, logging, evaluation, and human approval workflows. Ensure AI-enabled data products and agentic workflows remain secure, auditable, explainable, privacy-aware, and aligned to approved governance and responsible AI standards. Partner with AI-native delivery, data engineering, security, and governance teams to validate AI workload release gates, access boundaries, monitoring expectations, and operational support models. Document AI security patterns .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.