Every Shelorve placement is a senior engineer who contributes to architecture decisions and delivery outcomes — not a contractor completing tasks from a ticket queue while your team carries the technical thinking. Seven to fifteen years of directly relevant experience. Accountable to Shelorve delivery standards throughout.
Talk to a Principal →Our Standard
Shelorve places engineers who are senior enough to carry technical thinking — not just execute it. Every augmented engineer holds the same technical standards as a Shelorve-led engagement, with regular check-ins between Shelorve, the placed engineer, and the client throughout the placement.
Nobody placed by Shelorve is learning the technology on your engagement. The placement timeline is agreed at the start — aligned to a specific program phase or capability need — and success criteria are defined before the first day.
If a placement is not working for any reason, Shelorve addresses it directly. We do not leave clients managing underperforming placements in silence.
Senior only — 7 to 15 years of directly relevant experience
No junior or mid-level placements. If the requirement calls for volume resourcing, we will tell you directly that Shelorve is not the right partner for it.
Accountable to Shelorve delivery standards
Placed engineers are held to the same quality gates, documentation standards, and architectural principles as a Shelorve-led engagement.
Defined outcomes from day one
Every placement begins with agreed success criteria and a defined end point — aligned to a program phase or capability need, not an open-ended arrangement.
Direct communication throughout
Shelorve maintains active oversight of every placement — regular check-ins with both the engineer and the client. Issues are raised and resolved, not managed around.
Disciplines
Four disciplines. Senior practitioners only. Production experience required — not certification.
AWS-certified architects with hands-on depth in serverless architecture, CDK infrastructure-as-code, and enterprise cloud patterns. Practitioners who have designed and delivered production AWS architectures at enterprise scale and can make architectural decisions without escalation.
ML engineers with production experience on AWS SageMaker, Bedrock, and enterprise data platforms. Engineers who understand the full arc from data pipeline architecture to model governance and post-deployment monitoring — accountable for models in production, not just in notebooks.
Salesforce consultants with depth in Sales Cloud, Service Cloud, Einstein AI, CPQ, and MuleSoft integration. Practitioners who have designed Salesforce implementations from scratch, managed complex ERP integrations, and delivered AI features that are used in production.
DevOps engineers who build the CI/CD pipelines, infrastructure-as-code frameworks, and platform capabilities that make delivery sustainable at scale. Experienced with AWS CodePipeline, GitHub Actions, Terraform, CDK, and the operational patterns that keep enterprise systems running reliably.
How It Works
Tell us the technology stack, the program context, the seniority level, and the outcomes you need the placement to deliver. The clearer the requirement, the faster the placement.
We match the requirement to the right practitioner — assessing both technical depth and fit for your specific environment. For most roles, we can present a candidate within one to two weeks.
Before the placement begins, we agree what success looks like and when the placement ends. Every placement has a defined outcome — not an open-ended arrangement that drifts.
Shelorve maintains regular check-ins with both the placed engineer and the client. If anything is not working — for any reason — we address it directly and promptly.
Staff Augmentation · Common Questions
How We Deliver
Test automation · CI/CD · defect analysis · performance testing
Senior engineers · AWS · ML · Salesforce · DevOps
Post-go-live accountability · continuous improvement
How We Deliver Program GovernanceMilestone tracking · risk management · reporting
We will tell you whether we have the right engineer, what the realistic placement timeline looks like, and what success should look like at the end of it.