Cloud & Platform Engineering
Multi-cloud architecture, Kubernetes platforms, infrastructure-as-code, and FinOps. Reference landing zones for AWS, Azure, and GCP delivered in weeks, not quarters.
Discuss architectureFrom cloud-native platforms to applied AI and connected hardware — Sijenius delivers end-to-end engineering for teams that need to move from concept to production with discipline and speed.
Every engagement is staffed by senior practitioners and backed by a delivery framework tuned for observability, security, and predictable velocity.
Multi-cloud architecture, Kubernetes platforms, infrastructure-as-code, and FinOps. Reference landing zones for AWS, Azure, and GCP delivered in weeks, not quarters.
Discuss architectureLLM integration, RAG systems, model evaluation pipelines, and MLops. Production deployments with guardrails, observability, and measurable ROI from day one.
See AI deploymentsResearch-driven product strategy, design systems, and high-fidelity prototyping. We design for accessibility, performance, and the constraints real users operate within.
Browse case studiesModern data stacks, real-time pipelines, and governed lakehouses. We architect for lineage, quality, and the analytics workloads your business actually runs.
Data architectureFirmware, edge compute, and device-to-cloud pipelines. Secure provisioning, OTA updates, and fleet management for industrial sensors, consumer devices, and telematics.
Talk to an engineerSOC 2, ISO 27001, HIPAA, and PCI readiness. Threat modeling, zero-trust architecture, and continuous control monitoring — built into delivery, not bolted on after.
Security servicesFour phases that compress decision latency, surface risk early, and hand off production systems your team can operate long after we leave.
Two-week diagnostic. Stakeholder interviews, technical audit, and a quantified business case with explicit success criteria.
Week 1–2Reference architecture, risk-ranked roadmap, and a working prototype that validates the hardest assumptions before scale-out.
Week 3–6Squad-based delivery with continuous integration, observability, and security gates. Demo every Friday, ship every two weeks.
Week 7–NRunbooks, training, and a 90-day hypercare window. Knowledge transfer measured by ticket deflection, not slide decks.
Launch + 90dWe select tools based on team maturity, workload shape, and total cost — not on what is trending. Below is the shortlist we reach for most often; if your stack isn't listed, we will learn it.
All engagements share the same engineering standards, code ownership terms, and delivery cadence. What changes is scope, duration, and the level of cross-team integration.
Targeted outcomes for a defined problem: a prototype, a migration spike, a security audit, or an architecture review with implementation runway.
A cross-functional squad embedded with your team — product, design, engineering, and QA — owning a roadmap end-to-end with shared KPIs.
We own and operate a production system on your behalf — platform, data, or applied AI — against agreed SLAs and a continuous improvement backlog.
Sijenius replaced three vendors and a six-month roadmap with a working platform in nine weeks. Their platform team taught ours how to operate what they built, which is the part most firms skip.