DevOps and Platform Engineering
Build or modernize CI/CD, GitOps, IaC, release controls, and environment automation for cloud and hybrid teams.
Azure DevOpsGitHub ActionsTerraformKubernetes
Platform engineering, DevOps, DataOps, AI enablement, and MLOps for teams operating under real pressure.
GMX3C helps organizations modernize infrastructure, execute complex data movement, and operationalize AI platforms while continuously investing in internal products and reusable accelerators.
Disciplines
Four practice lines.
DevSecOps
Policy-as-code, pipeline gates, secret hygiene, and audit-ready delivery without slowing teams down.
DataOps
Snowflake, dbt, warehouse governance, and cost visibility built with software-engineering discipline.
GenAI / LLMOps
RAG systems, prompt governance, agentic workflows, and model observability designed for production trust.
Platform Engineering
Kubernetes, Terraform, GitOps, and internal developer platforms that turn change into a repeatable motion.
90% faster
CI/CD lead time
Reduced from 1.8 days to 4.5 hours in a regulated healthcare delivery environment.
100% audit pass
release governance
Hardened regulated release controls without slowing delivery velocity.
$180K/year
licensing cost avoided
Replaced a premium-license path with a custom delivery framework for reporting operations.
25 minutes
infrastructure provisioning
Reduced platform change lead time from 2 days to 25 minutes in a GitOps-backed pilot.
Expertise
What We Deliver
DataOps and Data Movement
Design resilient data pipelines, scale complex data movement patterns, and build governed analytics platforms using strict DevOps and software engineering discipline.
SnowflakedbtFivetranData Governance
AI Enablement and MLOps
Translate AI research into production reality. Implement governed model workflows, operational guardrails, LLMOps, and agentic integrations that scale securely.
Cortex AIRAGAgent workflowsObservability
Delivery Architecture Leadership
Provide architecture and platform direction for teams modernizing legacy systems, APIs, and mission-critical regulated delivery workflows.
Platform strategyAPI governanceKongTechnical leadership
How the four disciplines ship
The tools behind the practices.
DevSecOps & Delivery
GitHub ActionsAzure DevOpsGitLab CIJenkinsArgo CDFluxCDPolicy-as-CodeHashiCorp VaultAzure Key VaultSnykTrivyAquaWizBlack DuckGitGuardianOKTAAzure ADZero-TrustSASTDASTSCA
DataOps
SnowflakeCortex AIRedshiftdbtAirflowNiFiFivetranAirbyteKafkaDebeziumConfluentPower BI
GenAI & LLMOps
OpenAIAnthropicLangChainLangGraphLangSmithOllamaMistralCrewAIOpenRouterRAGSemantic Search
Platform Engineering
KubernetesAKSEKSOpenShiftDockerHelmKustomizeTerraformPulumiCloudFormationAnsibleKongKuma
Languages
PythonGoTypeScriptJavaScriptJavaSwiftNode.jsBashPowerShellSQLYAML
Cloud
AzureAWSGCPIBM CloudOracle CloudCloudflareDigitalOceanLinode
Observability
PrometheusGrafanaDatadogDynatraceNew RelicLokiELKPagerDutyCloudWatch
The Proof
Representative Outcomes
Regulated healthcare environment
Policy-first CI/CD and AI governance modernization
Modernized Azure DevOps, Snowflake, dbt, and AI-governance workflows in a regulated delivery environment.
·
Reduced median CI/CD lead time from 1.8 days to 4.5 hours.
·
Blocked 77% of critical non-compliant dbt and SQL patterns pre-merge during governance validation.
·
Automated Snowflake RLS and CLS rollout from about 2 days to 35 minutes with full policy-as-code coverage.
·
Scaled build infrastructure to improve reliability to 89% and increase concurrent throughput by 60%.
Azure DevOpsSnowflakedbtLLMOps
DOE-regulated environment
Regulated release governance and on-prem AI operations
Hardened delivery controls, improved platform observability, and explored on-prem AI-driven operational workflows in a highly controlled environment.
·
Sustained a 100% audit pass rate with zero unauthorized production releases.
·
Reduced security-control approval cycles from 4 weeks to 10 days without delaying releases.
·
Lowered secret exposure incidents by 45% and audit findings by 29% through PR-triggered secret scanning onboarding.
·
Cut infrastructure change lead time from 2 days to 25 minutes in a GitOps-backed platform pilot.
GovernanceGitOpsOllamaAuditability
Insurance platform buildout
Greenfield DevSecOps and DataOps foundations
Built modern delivery, identity, and data-platform patterns across AWS, Azure, Snowflake, and Salesforce.
·
Avoided $180K per year in premium licensing through a custom reporting CI/CD framework.
·
Reduced login issues by 28% and data-sync latency by 30% through governed identity and integration patterns.
·
Cut environment provisioning time by 45% and configuration drift incidents by 90% with Terraform-driven GitOps.
·
Increased pipeline throughput by 26% and data availability by 15% through hybrid data strategy work.
SnowflakeTerraformKongInsurance
Multi-cloud delivery organization
Snowflake intelligence and delivery-system hardening
Combined multi-cloud build optimization, Snowflake intelligence, and governed access patterns to improve delivery predictability and analytics access.
·
Consolidated a fragmented build process into one multi-stage pipeline producing 12 Linux images, cutting image size by 40% and build time by 24%.
·
Improved on-time milestone delivery from 64% to 91% by adding architecture reviews and code quality standards.
·
Launched a Snowflake intelligence layer handling 100+ daily NLP and chat queries while removing 18 developer hours per week from request queues.
·
Raised governed AISQL coverage to 96% and reduced policy exceptions by 57% in production Snowflake workflows.
SnowflakeCortex AIMulti-cloudGovernance
Hybrid API and platform modernization
Multi-cloud delivery standardization with gateway governance
Standardized secure DevSecOps foundations across Azure, AWS, and hybrid Kubernetes while tightening API-management and release patterns.
·
Increased release frequency by 20% through declarative gateway configuration integrated into CI/CD.
·
Reduced production security findings by 23% and accelerated approval cycles by 18% with automated security gates.
·
Reduced manual intervention by 30% and shortened onboarding time by 25% through CLI automation and GitOps enablement.
·
Reduced integration onboarding time by 35% with centralized gateway deployment.
AzureAWSKubernetesKong
How we work
Operating principles.
Own the outcome
Engagements ship. They don't hover.
Customer results
Measured in your KPIs, not our hours.
Over-communicate
Fewer surprises, shorter recoveries.
Today matters
Ship something real this sprint, not this quarter.
Always learning
Your stack evolves. So do we.
Trust by default
Start with transparency, not paperwork.
We build the systems that shape the modern enterprise.
Talk to us about your platform, data, or AI delivery work.