Lead enterprise network operations and engineering for global SD‑WAN and data center infrastructure, coordinating incident response, vendor management, and regional project execution.
Responsibilities
Support global SD‑WAN and data center network operations
Troubleshoot LAN, WAN, and security layers
Lead technical discussions with vendors and stakeholders
Participate in P1/P2 follow‑the‑sun support
Create and maintain SOPs, runbooks, KB articles and architecture documentation
Requirements
Nice to have: Palo Alto certifications (PCNSE, Prisma SD‑WAN)
Nice to have: Fortinet certifications (NSE 4 or higher / FCP / FCSS)
Nice to have: Cisco certification (CCNP Enterprise)
Lead business intelligence initiatives for Peru and Ecuador within LATAM Analytics COE, transforming data into actionable insights and advising senior leadership.
Responsibilities
Lead and own the BI agenda for Peru and Ecuador
Act as strategic advisor to Country Leadership and senior stakeholders
Transform business questions into structured analyses
Identify opportunities by connecting diverse data sources
Develop comprehensive sales, market share, and competitive performance analyses
Requirements
Bachelor's degree in Engineering, Economics, Statistics, Data Science, Actuarial Science, Administration, Marketing or related fields
Design, deploy, and support virtualization and container platforms. Manage Hyper-V/Openshift environments, automate operations, and help migrate workloads to modern container platforms.
Responsibilities
Build and maintain Openshift/Hyper-V clusters, including live migration, replication, and capacity planning
Automate provisioning and configuration with Ansible, Terraform, and PowerShell
Build CI/CD and GitOps pipelines (Jenkins, Tekton, ArgoCD)
Monitor platform health and troubleshoot performance, networking, and storage issues
Apply security and access controls (RBAC, SCC, patching)
Requirements
Nice to have: Java
Nice to have: Spring Boot
Nice to have: Go
Nice to have: Red Hat certifications (EX280, EX180)
Design and govern enterprise semantic architectures, ontologies, and knowledge graph platforms to enable AI-ready knowledge systems.
Compensation
The annual salary for this position is between $ 130,000 - $ 160,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Responsibilities
Design and govern enterprise ontologies, semantic models, and knowledge graph architectures
Lead development of business domain models and governed vocabularies
Define and maintain enterprise business glossaries, KPI registries, and governance processes
Architect graph-based knowledge platforms using technologies such as Spanner Graph, Neo4j, Amazon Neptune, TigerGraph, GraphDB, Dataplex, BigQuery, and Vector Search
Partner with engineering, AI, and platform teams to establish governance controls, security standards, and AI architecture guardrails
Requirements
Nice to have: Spanner Graph GQL
Nice to have: knowledge architecture for agentic AI
Own and drive end-to-end coordination of release activities to ensure successful and timely deployments into production.
Compensation
The annual salary for this position is between CAN $80K-92,500k depending on experience and other qualifications of the successful candidate.
Responsibilities
Own and drive end-to-end coordination of release activities to ensure successful and timely deployments into production.
Monitor and track production defects, coordinating fixes and deployment schedules with development and support teams.
Review deployment packages and code migration requests, assess potential code conflicts, and provide deployment approvals in line with release governance.
Organize and lead defect triage and release readiness calls with stakeholders to drive issue resolution and decision-making.
Prepare and distribute release status reports, and proactively identify and elevate risks, blockers and dependencies.
Seeking an Palantir Foundry Analyst/Developer to assist the client in sustaining and modernizing FAA enterprise data and analytics platforms. Supporting Palantir Foundry, AI/ML, EDP, data governance, cloud modernization, and business intelligence.
Compensation
the salary range for this role is $155,000- $162,500- $170,000
Responsibilities
Design, build, and maintain scalable data solutions within the Palantir Foundry platform.
Work directly with the Foundry Ontology to model and organize enterprise data.
Develop and manage Foundry data objects, actions, and associated platform assets.
Implement and support Foundry AI solutions to meet business and operational objectives.
Utilize Foundry modules to create applications, workflows, and data pipelines.
Apply scientific expertise to create, solve, and review challenging research problems within biology and related fields using Python.
Compensation
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow. Minimum submission requirements apply.
Responsibilities
Create and solve technically rigorous scientific problems within your area of expertise.
Develop reproducible Python-based analyses, models, simulations, or data-processing workflows.
Review scientific solutions and code for correctness, clarity, and completeness.
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