CEA Solutions AI is an engineering-led SAP and cloud services firm-built to modernize, automate, and operate mission-critical platforms with precision and resilience.
COMPANY OVERVIEWCAREERS
Engineer the right cloud path before you invest. CEA Planning Services transform uncertainty into a clear, outcome-driven roadmap-aligning business objectives, architecture, security, governance, and operating model so execution teams deliver with precision and confidence.
Define a target cloud state, guardrails, and an execution roadmap aligned to enterprise standards.
Define the target cloud state, architectural guardrails, and decision principles that standardize designs across teams and environments-ensuring consistency, compliance, and repeatable delivery.
Establish foundational controls for identity, network segmentation, centralized logging/monitoring, and tagging standards so workloads are built on a secure, observable, and governable cloud baseline.
Produce an execution roadmap with clear phases, dependencies, and decision gates-so delivery teams can sequence work, reduce risk, and move from plan to build with confidence.
Build a measurable value plan with KPIs/OKRs, enablement approach, and a prioritized improvement backlog.
Establish a structured value model that links engineering decisions to outcomes-FinOps cost discipline, validated resiliency (HA/DR), faster delivery through automation, and a security baseline aligned to enterprise requirements.
Define KPIs and OKRs that make progress measurable-unit cost and utilization, availability, RTO/RPO targets, automation coverage, change success rate, and incident/MTTR reduction-so leadership can track value realization.
Build an enablement plan that drives sustained adoption-clear ownership and operating model, transition/training, and a governance cadence (weekly delivery, monthly operational, and executive reviews) to ensure accountability and continuous improvement.
Select the optimal platform and service architecture aligned with compliance, workload fit, and cost.
Capture workload requirements and enterprise constraints-compliance, data residency, integration needs, SLAs, latency, and operational tooling-to ensure the platform choice is grounded in real delivery conditions.
Apply a weighted decision model across cost, services fit, security controls, resiliency options, and operational maturity to compare cloud platforms and landing zone patterns with transparency.
Deliver a concise recommendation with architecture options and trade-offs-highlighting risks, assumptions, and a clear rationale-so leadership can approve quickly and teams can execute cleanly.
De-risk key assumptions early: performance, connectivity, security controls, and operability patterns.
Define measurable success criteria and acceptance tests-performance targets, security controls, connectivity patterns, and operability outcomes-so the PoC produces clear go/no-go evidence.
Build a minimal, production-aligned landing zone and validate a representative workload slice to prove key patterns (networking, identity, logging, and deployment approach) without overbuilding.
Document results, risks, and recommended next steps-capturing evidence artifacts (metrics, diagrams, configurations) to accelerate delivery and prevent rework during build and migration.
Establish a clear view of the current environment, dependencies, and readiness gaps to enable predictable cutovers.
Build a complete inventory of applications, data flows, integrations, and upstream/downstream dependencies-so migration waves, cutovers, and operational impacts are planned with accuracy.
Assess readiness across operating model, skills, governance, security controls, monitoring, and automation maturity- producing a clear scorecard of gaps and actions required before execution.
Define cutover steps, validation checkpoints, and acceptance gates-ensuring backups, DR/HA readiness, performance baselines, and operational runbooks are in place before go-live.
Define an implementable security baseline aligned with your framework and audit evidence requirements.
Map cloud and platform controls to your compliance framework-defining required configurations, responsibilities, and evidence artifacts to support audits and reduce risk.
Define a practical security baseline for IAM, network segmentation, centralized logging and detection, encryption and key management-so security is designed in, not bolted on after deployment.
Identify current-state gaps and deliver a prioritized remediation roadmap-sequenced by risk and effort-so teams can implement controls quickly while maintaining delivery velocity.