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What We Deliver

Technology Services That Ship

Five core service areas covering the full engineering lifecycle—AIOps, integrations, cloud migrations, AI, and security. All delivered at the senior level, directly.

Pipeline Automation & CloudOps

AIOps & CloudOps Integration

We build and mature CI/CD pipelines, automate infrastructure, and harden cloud operations for teams that need to ship faster without adding risk. Whether you're starting from scratch or untangling years of technical debt, we work directly with your engineering teams.

We don't hand the work to junior contractors. Every pipeline, every Helm chart, every Terraform module is produced and reviewed by a senior engineer who understands what breaks at 2 a.m.

  • CI/CD pipeline design, implementation, and maturation (GitHub Actions, GitLab, Jenkins)
  • Kubernetes cluster setup, management, and hardening (EKS, AKS, GKE)
  • AWS and Azure infrastructure—VPCs, IAM, networking, cost optimization
  • Infrastructure as Code with Terraform, CloudFormation, Pulumi
  • Configuration management with Ansible
  • Helm chart authoring and release management
  • Observability stack setup (logging, metrics, alerting)
  • Incident playbook development and runbook documentation
CI/CD Kubernetes AWS / Azure Terraform Ansible Helm GitHub Actions Observability

Engagements: project/SOW or hourly. We work within your existing toolchain and adapt to your team's workflow.

Systems & Platform Integration

App & Product Integrations

Third-party platform connections are often underestimated until something breaks between systems. We've worked with complex, undocumented legacy environments and know how to reverse-engineer what's there, map dependencies, and build durable integrations that don't require constant maintenance.

If the vendor documentation is sparse, the API is deprecated, or the original developer is long gone, that's exactly when we're most useful.

  • REST and GraphQL API integration design and implementation
  • Legacy system reverse-engineering and documentation
  • Multi-system orchestration and event-driven architectures
  • Data pipeline design between SaaS platforms, internal systems, and cloud services
  • PHP and full-stack application integration work
  • Webhook, message queue, and async workflow implementation
  • Integration testing, monitoring, and alerting
REST / GraphQL Legacy Systems Webhooks Message Queues PHP / Full-Stack Event-Driven Data Pipelines

We're comfortable with incomplete documentation, undocumented APIs, and systems where the original engineers are unavailable.

Workload Migration & Modernization

Cloud Migrations

Moving workloads to the cloud is only straightforward on paper. In practice it requires understanding your current state, mapping risks, sequencing cutovers carefully, and having someone who can course-correct quickly when assumptions don't hold.

We plan migrations conservatively. We test thoroughly. We don't push migrations that aren't ready.

  • Current-state infrastructure assessment and migration planning
  • Lift-and-shift migrations to AWS and Azure
  • Re-architecture for cloud-native patterns (containerization, managed services)
  • Infrastructure-as-code foundation setup for the migrated environment
  • Zero-downtime or minimized-downtime cutover execution
  • Post-migration validation, cost review, and optimization
  • Documentation of the migrated environment for your team
AWS Azure Lift & Shift Re-Architecture Terraform / CloudFormation Zero-Downtime Cutover Cost Optimization

We surface risks before they become outages. Migration plans include rollback procedures for every major step.

AI Engineering & LLM Integration

AI Solutions & Integrations

AI tooling is moving fast. Most teams are still figuring out what to trust, what to ignore, and how to integrate LLMs into production without creating new categories of risk. We've worked with these tools long enough to know where they accelerate work and where they require a careful human hand.

We don't ship AI output blindly. Every generated artifact is reviewed, tested, and approved before it reaches your systems.

  • LLM integration into existing products and workflows (OpenAI, Anthropic, open-source models)
  • Agentic workflow design and implementation
  • Retrieval-augmented generation (RAG) and knowledge base integration
  • AI-assisted engineering to accelerate delivery timelines
  • Prompt engineering and model evaluation for production use
  • Internal tooling powered by AI for engineering and operations teams
  • AI output review processes and quality gates
OpenAI / Anthropic LLM Integration Agentic Workflows RAG Prompt Engineering AI Quality Gates Internal AI Tooling

We use AI tools ourselves to deliver faster—but every output is reviewed by a senior engineer before it affects your environment.

Security Hardening & Incident Response

Security & Emergency Recovery

When a site is compromised or an incident is unfolding, you need someone who can assess quickly, act precisely, and communicate clearly without making the situation worse. We've managed emergency recoveries and understand what it means to work under pressure on systems you don't fully control yet.

We also work proactively—hardening environments, reviewing configurations, and building security practices into delivery workflows before an incident occurs.

  • Website hack recovery and malware remediation
  • Incident response: triage, containment, and recovery
  • Security hardening of cloud infrastructure and application layers
  • Configuration review and vulnerability assessment
  • Compliance-conscious delivery for SOC 2, HIPAA, and PCI/DSS environments
  • Security practice integration into CI/CD pipelines (SAST, secret scanning, dependency checks)
  • Post-incident documentation and root-cause analysis
Incident Response Hack Recovery Hardening SOC 2 Environments HIPAA Environments PCI/DSS Environments SAST / Secret Scanning

We have worked on projects subject to SOC 2 Type II, HIPAA, and PCI/DSS requirements. We do not hold certifications ourselves, but we understand what these environments demand.

Engagement Model

How We Structure Work

Project / SOW

A defined scope, timeline, and deliverable set. Best for discrete projects with clear start and end states—migrations, integration builds, pipeline overhauls.

Hourly / Time & Materials

Best for ongoing support, exploratory work, or complex environments where scope evolves. Billed honestly, tracked transparently.

Extended Engagement

For teams that need consistent, embedded senior engineering support across multiple workstreams over months. We become part of your team.

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Tell Us What You're Working On

Discovery calls are low-pressure and focused. We'll ask the right questions and give you a straight answer on fit and approach.