Platform Engineering and Operations Lead; Palantir
Listed on 2026-10-30
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IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, IT Infrastructure
The Platform Engineer & Operations Lead is the hands-on internal technical owner of Acosta Group's enterprise Palantir Foundry and Artificial Intelligence Platform (AIP) ecosystem within the AI Center of Excellence. This role engineers and operates a secure, reliable, governed, reusable, and cost-effective platform while supporting product, program, and project teams from solution design and build through deployment, go-live, stabilization, and ongoing production support.
The role owns platform administration, Dev Sec Ops , identity and access management, observability, enterprise integration, ontology governance, and Fin Ops. It provides technical direction to vendor engineers, sets engineering standards and priorities, reviews deliverables, manages escalations, and retains critical platform knowledge and decision-making within the enterprise.
RESPONSIBILITIESPlatform engineering: Own Foundry and AIP administration, configuration, environment strategy, releases, upgrades, capacity, and operational health. Engineer shared services, automation, and reusable patterns for AIP applications, agents, workflows, and model/tool integration.
Solution delivery: Partner with delivery teams on architecture, hands-on build, integration, testing, deployment, go-live readiness, and stabilization. Coordinate environments, access, release windows, cutover, and post-production support ownership.
Production reliability: Establish monitoring, alerting, service levels, runbooks, incident response, problem management, and escalation paths. Lead complex incidents, root-cause analysis, service restoration, and continuous improvement; define and test recovery and continuity practices.
Dev Sec Ops : Establish repeatable development, testing, promotion, and deployment practices for code, configuration, data products, ontology changes, and AIP capabilities. Implement quality gates, traceability, segregation of duties, rollback plans, and production-readiness controls.
Security and access: Own identity and access management (IAM) and role-based access control (RBAC), including least privilege, privileged access, approvals, periodic reviews, and auditable permissions. Partner with Cyber and enterprise teams on vulnerability management, policy compliance, and control remediation.
Ontology governance: Define design standards, stewardship, lifecycle management, documentation, and controlled change for shared objects, relationships, actions, interfaces, and business concepts. Promote reuse and assess downstream impacts, lineage, data quality, security, testing, and versioning.
Enterprise integration: Establish secure, resilient, observable integrations across enterprise applications, APIs, data platforms, identity services, analytics tools, and cloud services. Partner with data engineering on pipeline reliability, orchestration, performance, and cross-platform issue resolution.
Fin Ops: Establish consumption and cost visibility, allocation, forecasting, budgeting inputs, and optimization reviews where data is available. Translate cost drivers into architecture, processing, scheduling, retention, and configuration improvements; support vendor/SOW and renewal decisions.
Vendor technical leadership: Set vendor engineering priorities, capacity, service expectations, quality standards, and escalation procedures. Review designs, code, configuration, operational changes, and incident analysis; ensure knowledge transfer, documentation, coverage, and internal technical ownership.
Enablement and partnership: Create onboarding guidance, reference implementations, templates, and engineering playbooks. Partner with Palantir, product teams, Cyber, Infrastructure, Data Governance, Finance, and business stakeholders to balance…
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