Staffing model
Senior engineers, named before you sign
You interview the people who will do the work, and they are the people who show up. No bench rotation, no bait-and-switch, and no junior backfill halfway through the engagement.
Cloud · Data · Applied AI · US Delivery Teams
Reference architectures, delivered as running systems.
We design, build and operate the platforms your product depends on — multi-region Kubernetes, event-driven data pipelines, retrieval-grounded LLM services — and staff them with senior US-based engineers you interview yourself. Handed over with Terraform modules, SLOs, dashboards and runbooks from the first sprint, not the last.
Why E2ECS
The terms are the differentiator
Commercials
Fixed-scope phases, not open-ended time and materials
Assessment and architecture phases are fixed price with written deliverables. Build phases run on capacity you can stop at a sprint boundary — exit terms are in the first contract, not negotiated under pressure.
Handover
Every engagement ends with you able to run it
Terraform modules, runbooks, dashboards, SLOs and an on-call rehearsal are deliverables with acceptance criteria, produced from the first sprint. Knowledge transfer is scheduled, not improvised in the last week.
Engagement types
Project delivery, embedded teams or direct placement
A whole delivery pod, engineers embedded in your existing squads, or permanent hires we source and vet. W-2 and contract engagements across the United States, onsite, hybrid or fully remote.
Capabilities
Twelve practices, one delivery contract
Scope, interfaces and exit criteria are written down before the first commit. Each engagement is led by a principal architect and staffed with senior engineers — no revolving bench, and no practice we cannot show you running in production.
01
Cloud Migration & Landing Zones
Account topology, network segmentation and guardrails — 7R assessment through cutover, with rollback rehearsed rather than assumed.
AWS · Azure · GCP · Terraform
02
Platform Engineering & DevOps
Golden paths on Kubernetes, GitOps release trains, policy-as-code and an internal developer portal your teams actually use.
EKS · Argo CD · OPA · Backstage
03
Application Modernization & Multi-Tenant SaaS
Strangler-fig decomposition of monoliths, contract-first APIs, tenancy and entitlement models, and incremental data migration without a maintenance window.
Java · .NET · Go · Postgres RLS
04
Enterprise SaaS Platforms
Integration architecture around the platforms you have bought — clean interfaces, governed customisation and upgrades that do not become projects.
Salesforce · ServiceNow · Workday · NetSuite
05
Data Platforms & Streaming
Lakehouse modelling, CDC and streaming pipelines, transformation layers with tested contracts and a semantic layer the business agrees on.
Kafka · Snowflake · dbt · Iceberg
06
Applied AI & LLM Engineering
Retrieval pipelines, evaluation harnesses, guardrails, and cost and latency budgets enforced in CI — shipped as a service, not a proof of concept.
RAG · vector search · evals
07
Cybersecurity & Compliance Engineering
Identity and least-privilege programmes, control mapping with continuous evidence, and remediation work sequenced so delivery keeps moving.
IAM · SOC 2 · HIPAA · threat modelling
08
Quality Engineering & Test Automation
A test pyramid that holds: contract tests at service seams, end-to-end suites that gate releases, and flake treated as a defect.
Playwright · contract tests · CI gates
09
Mobile & Cross-Platform
Offline-first clients with hardened release pipelines and crash-free-session targets written into the contract.
React Native · Swift · Kotlin
10
Managed Services, SRE & FinOps
On-call rotations against your SLOs, incident review with published follow-ups, unit-cost reporting and continuous rightsizing.
24/7 on-call · SLOs · unit cost
11
IT Staffing & Talent Solutions
Senior engineers, analysts and architects placed onto your teams across the United States — vetted by the people who would work alongside them.
contract · contract-to-hire · direct
12
Training & Placement
Structured cohorts on cloud, data and AI engineering, mentored by practising engineers, with placement into US client teams.
cohorts · mentoring · placement
Products
Six AI products we run in our own stack
Each ships as a deployable service in your account — VPC-resident, with your identity provider, your key management and an evaluation suite pinned to your data.
Groundwork
Retrieval platform
Ingests your document estate, retrieves against it with hybrid search, and refuses to answer without a citation. Ships with an offline evaluation suite pinned to your own corpus, so a model swap is a measured decision rather than a leap.
Citation-enforced answers · corpus-pinned eval suite
Pulse
Streaming telemetry
Anomaly detection across metric and event streams with seasonality-aware baselines, so Monday morning traffic stops paging anyone. Alerts route by ownership and respect the on-call calendar.
Seasonality-aware baselines · on-call-aware routing
Extract
Document intelligence
Schema-constrained extraction from claims, invoices, contracts and scanned forms. Low-confidence fields fall to a human review queue sized to clear same-day, and every correction is retained as training signal.
Human-in-the-loop review queues · full audit trail
Console
Agent operations
The control plane for LLM features already in production: prompt and model versioning, per-tenant rate and spend limits, replay of any request, and a rollback that takes effect without a deploy.
Per-tenant spend caps · one-click rollback
Ledger
Data quality
Contract tests for your warehouse. Freshness, volume, distribution and referential checks run beside each transformation, and a broken contract stops the pipeline before the dashboard lies to an executive.
Contract tests beside each model · pipeline halts on breach
Bridge
Integration fabric
Event-driven connectors between the systems of record you cannot replace — ERP, EHR, CRM, mainframe files — with idempotent delivery, schema versioning and a replayable log of every message.
Exactly-once delivery · replayable message log
Industries
Domain constraints, treated as architecture
Financial services
Ledger integrity, idempotent payment flows and audit trails that survive an examiner.
Insurance
Rating engine changes under version control, and claims intake that degrades gracefully at CAT volume.
Healthcare & payers
PHI segmentation, HIPAA controls, HL7 and FHIR interchange at claim volume.
Life sciences
Validated environments, immutable audit records and change control that GxP review accepts.
Public sector
Section 508 and WCAG conformance, records retention schedules, and documentation procurement can actually read.
Retail & commerce
Peak-season capacity models, inventory consistency and headless storefronts.
Logistics & supply chain
Event-sourced tracking, route optimisation and telemetry from constrained devices.
Manufacturing & energy
OT/IT boundaries, time-series at plant scale and edge-to-cloud buffering.
Automotive & mobility
Fleet telemetry ingestion, over-the-air release safety and supplier data exchange.
Media & telco
Streaming delivery, entitlement services and subscriber data platforms.
Higher education
Roster and SIS integration, assessment integrity and cohort analytics at term boundaries.
Professional services
Utilisation and billing systems, client data isolation and engagement-scoped access.
Case studies
What the work looks like
Financial services
Active-active across two regions for a payments processor
A settlement monolith re-platformed onto partitioned services with idempotent replay, then regional failover rehearsed monthly rather than documented and hoped for.
Settlement re-platform · partitioned services · rehearsed regional failover
Healthcare
Claims extraction with a human-in-the-loop review queue
Schema-constrained extraction across millions of scanned claims, with reviewer queues sized to clear same-day and every field traceable back to the page it came from.
Document extraction · reviewer queues · field-level traceability
Logistics
Event-sourced tracking for a national freight network
Kafka-backed shipment events with exactly-once sinks, replacing nightly batch reconciliation with a position of record that is current to the minute.
Streaming events · exactly-once sinks · live position of record
Engagement model
How an engagement runs
WEEK 0–2
Assess
Architecture review, dependency map, risk register and a costed target state you own outright — including the option to stop here.
WEEK 2–6
Architect
ADRs, interface contracts, environment topology and a thin slice running in production behind a flag.
SPRINT 1–N
Build
Trunk-based delivery, automated tests, and demos against written acceptance criteria every two weeks.
ONGOING
Operate
Error budgets, on-call, quarterly cost and reliability reviews — or a clean handover to your team, rehearsed before we leave.
Careers
Open roles across the United States
W-2, contract and contract-to-hire engagements across the United States — onsite, hybrid and fully remote. You interview the team you would join, and we tell you the client and the scope before you accept. Applications route to hr@e2ecs.com.
Send your résumé to HRSenior Platform Engineer (Kubernetes)Apply →Data Engineer (Spark / dbt)Apply →ML Engineer, Retrieval SystemsApply →Salesforce Technical LeadApply →Site Reliability EngineerApply →Java Microservices DeveloperApply →Cloud Security EngineerApply →ServiceNow Developer (ITSM)Apply →QA Automation EngineerApply →Business Analyst, Healthcare ClaimsApply →.NET Full-Stack DeveloperApply →Technical RecruiterApply →
Insights
Notes from the delivery floor
Landing zones that survive the second business unit
What we changed after the fourth migration: account vending, not account templates.
Evaluation harnesses before prompts
A retrieval system without an offline eval suite is a demo, not a service. Here is the harness we ship.
The warehouse contract nobody wrote down
Every dashboard depends on assumptions about freshness and grain. Put them in tests before a VP finds them.
Unit cost as a first-class SLO
Cost per transaction belongs on the same dashboard as latency — and in the same review.
Least privilege is a migration, not a setting
How we sequence IAM tightening so the first broken deploy does not undo the whole programme.
What we ask senior platform engineers
The interview is a design review of a system we actually run, and candidates get the same document we do.
Bring us your hardest system.
A 60-minute architecture review with a principal engineer, and a written summary of what we would change first. No obligation, no slideware.