Staff augmentation · India
Hire Solution Architects in India. Vetted talent. Clear timelines. Your tools and IP.
Staff pre-vetted solution architects in India. Shortlists in 2-3 weeks, transparent engagement models and commercials, and engineers who embed in your team, not a separate delivery track.
Review your integration roadmapReference architecture
Enterprise integration topology
Core stack
- System design & C4 models
- API & event strategy
- Enterprise integration
- Microservices & modular monoliths
- Security architecture
- ADRs & RFCs
8+
Average years in solution architecture
Architects who've led cross-team delivery, not only produced slide decks.
Speed, vetting, and engagement from day one
Whether you need one senior hire or a small squad, we run staffing for founders and engineering leaders, not a job board for candidates. You get speed, vetting transparency, flexible engagement models, and commercials before interviews, not after.
- Placement speed
- 2–3 weeks
- Vetting process
- 4-step screen
- Engagement models
- Flexible
- Pricing range
- Custom bands
Role intake, sourcing, and technical screen to a shortlist you can interview. Typical start within 2–4 weeks once you select a profile.
Stack and experience match, communication check, live technical with a senior reviewer, and reference verification before profiles reach you.
Dedicated augmentation, contract staffing, or contract-to-hire. Engineers work in your repos, tools, and time zones with IP assigned to you.
Transparent monthly or hourly bands by seniority and stack. We quote before interviews so finance and engineering align on budget.
Architecture outcomes we optimize for
- Average years in solution architecture
- 8+
- Typical time to first approved RFC
- 4–8 wks
- Integration redundancy reduction
- 30%+
- Mystery dependencies at cutover
- Zero
Architects who've led cross-team delivery, not only produced slide decks.
For scoped integration or platform decisions with clear stakeholders and constraints.
After service consolidation and API rationalization on programs we've supported.
Every integration mapped with owners, SLAs, and rollback paths before production switches.
Technical depth
Deep-Dive Tech Stack
Solution architecture turns business constraints into boundaries, contracts, and delivery sequences. We match architects who quantify tradeoffs in RFCs with data ownership and rollback spelled out, not diagrams that stop at boxes and arrows.
-
System design & C4 models
Context, container, and component diagrams engineers onboard from in a week. Data flow, failure domains, and external dependencies are explicit; every box maps to a repo, an on-call rotation, and an owner.
-
API & event strategy
REST versioning, async contracts on Kafka or SNS/SQS, idempotency for at-least-once delivery, and gateways that do not break mobile clients silently. Breaking changes use deprecation windows with consumer tracking instead of surprise 404s in prod.
-
Enterprise integration
Event-driven bridges between legacy ERP and modern services without duplicate source of truth. They choose iPaaS versus custom glue, sagas versus distributed transactions, and ESB patterns only when the ops tax is worth the integration speed.
-
Microservices & modular monoliths
Boundaries aligned to team topology and data ownership. Split services sharing one database are avoided; modular monoliths are recommended when rewrite is unfunded and decomposition when independent deploy and scale actually matter.
-
Security architecture
OAuth2/OIDC flows, token lifetimes, mTLS for service-to-service, and threat modeling on real attack surfaces. Least privilege and audit evidence are designed in, not bolted on before launch.
-
ADRs & RFCs
Decision logs with rejected options, cost projections, and failure modes stakeholders can follow. RFCs end with a recommended path and phased rollout; duplicate APIs often shrink 30%+ when consolidation ships with documented migration paths.
-
Cloud-native & GitOps patterns
Kubernetes versus serverless tied to team capacity, cold-start mitigation for Lambda, and GitOps for deploy consistency. Engineers execute because the RFC explained why EKS fit a stateful workload, not because someone said "best practice."
-
Domain-driven design
Bounded contexts, aggregate boundaries, and ubiquitous language workshops that align product, engineering, and stakeholders before service splits. Microservice boundaries follow domain seams, not org-chart lines that change every reorg.
-
Cost & capacity modeling
TCO estimates for build versus buy, load projections tied to architecture choices, and FinOps checkpoints in RFCs. Platform decisions include expected spend at 1x and 10x scale so leadership approves designs they can fund through growth.
Solution architecture questions we answer upfront
How do you handle time-zone crossovers?
Discovery workshops use scheduled overlap; ongoing work shifts to written RFCs, recorded walkthroughs, and async comment cycles so steering committees don't depend on midnight calls.
Do solution architects write code?
They can spike integrations or review PRs when it speeds decisions, but the primary output is architecture: RFCs, diagrams, ADRs, and migration plans your teams can execute.
How do you work with existing cloud or enterprise architects?
We embed as augmentation, not a parallel track. Your architects stay accountable; our people fill capacity on integration design, reviews, and vendor evaluations.
What is your review process for architecture deliverables?
RFCs go through peer review on our side before you see them. We cover failure modes, cost, security gaps, and operational ownership. Diagrams ship with decision logs, not mystery arrows.
How do you prevent analysis paralysis?
Every RFC ends with a recommended path, phased rollout, and explicit deferrals. We timebox discovery and tie decisions to business deadlines, not open-ended options matrices.