Solutions Engineer

CARPL - Radiology AI Platform; New Delhi; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

CARPL - Radiology AI Platform is seeking a Solutions Architect to lead end-to-end architectural engagements with enterprise customers. You will translate customer requirements into robust architectures, design multi-cloud deployment strategies (on-prem, cloud, or hybrid), and produce clear diagrams and documentation for both technical and non-technical stakeholders.

You will own data-flow designs, security considerations, and integration patterns, while guiding cross-functional teams through

Qualifications

• Strong background in system design and distributed architectures.
• Experience owning end-to-end integrations with enterprise or mid-market clients.
• Ability to translate requirements into architectural artifacts.
• Experience with data security and compliance (OWASP, etc.).
• Experience writing RFP/RFI responses and architecture proposals.

Responsibilities

• Lead solution architecture discussions with partners and clients.
• Design deployment configurations across on-prem, cloud, or hybrid.
• Produce architecture diagrams and data-flow maps for stakeholders.
• Mentor and align cross-functional teams through engagements.

Skills

System design

Distributed systems

Microservices

API design

RBAC & SSO

Security best practices

CI/CD

Cloud platforms

Docker

Kubernetes

REST/gRPC

Communication

Education

Bachelor's in CS or related

Tools

Lucidchart

draw.io

Miro

Git

CI/CD tooling

Terraform

Job description

• Engage with enterprise technology partners, software vendors, and end customers to understand their existing systems and translate requirements into a clear solution architecture.
• Lead integration planning discussions, mapping data flows, defining API specifications, and aligning on technical interfaces between systems.
• Produce solution design documents, architecture diagrams, and data flow maps that both technical and non-technical stakeholders can act on.
• Work with clients to design deployment configurations, on-premise, cloud, or hybrid, based on their infrastructure constraints and performance needs.
• Define compute specifications (CPU/GPU, memory, storage), network topology, and infrastructure sizing for each engagement.
• Produce cloud cost estimates and total cost of ownership (TCO) models across AWS, GCP, and Azure.
• Own and respond to RFPs and RFIs, including technical, security, and compliance questionnaires.

2. Hands-on POC & MVP Execution

• Build working proofs of concept to validate architecture decisions before full engineering investment, including integration adapters, API bridges, and automation scripts.
• Take POCs through to reference-quality implementations where appropriate, contributing clean, maintainable code.
• Document findings, limitations, and recommended next steps for every POC.

3. Handover & Documentation

• Create structured handover packages for product and deployment teams: runbooks, decision logs, open item trackers, and escalation paths.
• Maintain a growing library of reference architectures and integration patterns as reusable assets across engagements.
• Ensure nothing falls through the gap between a sales commitment and a working deployment.

4. Cross-functional Technical Leadership

• Act as the primary technical liaison between sales, product, engineering, and the client — translating requirements in both directions.
• Identify risks early and propose pragmatic mitigations without stalling progress.
• Feed deployment learnings and client signals back into CARPL's product roadmap discussions.

Core Requirements

• Solid grounding in system design, you can design a distributed system on a whiteboard and then go build it.
• Familiarity with common architecture patterns: microservices, event-driven architecture, API gateway, CQRS, pub/sub.
• Understanding of how to make tradeoffs between consistency, availability, latency, and cost in real systems.
• Understanding of secure design principles and data protection techniques, including encryption (at-rest and in-transit).
• Experience designing and implementing robust access control mechanisms, such as Role-Based Access Control (RBAC), Single Sign-On (SSO), and the principle of least privilege.
• Knowledge of vulnerability management, secure coding standards (e.g., OWASP Top 10), and integrating vulnerability testing into CI/CD pipelines.

2. Hands-on Engineering

• Proficiency in at least one backend language, Python (preferred), Go, or Java, and the confidence to write production-quality code without supervision.
• Experience building REST or gRPC APIs, integration adapters, and automation scripts from scratch.
• Comfortable with Git, CI/CD pipelines, and standard DevOps tooling.

3. Databases

• Hands-on experience with relational databases (PostgreSQL, MySQL) — schema design, query optimisation, indexing.
• Working knowledge of at least one NoSQL store (MongoDB, Redis, Elasticsearch, DynamoDB) and when to use it.
• Understanding of data modelling tradeoffs for operational vs. analytical workloads.
• Practical experience on at least one major cloud platform (AWS, GCP, or Azure) including compute, storage, networking, managed services & cloud firewall and security rules.
• Familiarity with containerisation (Docker) and orchestration (Kubernetes) in production or near-production environments.
• Ability to size infrastructure, estimate costs, and build a credible deployment plan for a client.
• Client-facing & Communication
• Strong written and verbal communication: comfortable presenting architecture to a CTO or CPO and explaining tradeoffs to a developer.
• Experience writing technical documentation, RFP/RFI responses, solution proposals, or architecture design documents.
• Skilled at producing clear diagrams (Lucidchart, draw.io, Miro, or similar).

Experience

2+ years in solutions architecture, technical pre-sales engineering, software engineering, or a combination.

Track record of owning end-to-end technical integrations with enterprise or mid-market clients.