Senior Solution Architect

New Era Solutions; India; Remote; INR 12,00,000 - 15,00,000; Part time

Job summary

A leading technology company is seeking a highly experienced Senior Solution Architect to guide its technology strategy and SaaS product development. This part-time role requires expertise in architecture, scalability, and security best practices, with flexible scheduling. Ideal candidates will have over 10 years of experience in software architecture and SaaS solutions. Candidates will foster engagement through technical mentoring and architectural leadership.

Qualifications

• 10+ years in software architecture, with at least 5+ years in SaaS product development.
• Proven track record of designing and delivering SaaS solutions at scale.
• Hands-on expertise in microservices, APIs, containers, CI/CD pipelines.

Responsibilities

• Define, design, and validate end-to-end SaaS product architectures.
• Recommend frameworks and design patterns aligned with business roadmaps.
• Provide technical guidance and coaching to engineering teams.

Skills

SaaS product development

Architectural Leadership

Security & Compliance

Cloud platforms (AWS, Azure, GCP)

Microservices

Education

Bachelor's/Master's in Computer Science or related field

Tools

Docker

Kubernetes

Job description

About the Role

We are seeking a highly experienced Senior Solution Architect with a strong background in SaaS product development to guide our technology strategy, architecture decisions, and product scalability roadmap. This is a part-time, strategic role ideal for professionals who can contribute architectural expertise, mentor teams, and ensure our product evolves into a secure, scalable, and future-ready SaaS platform.

Key Responsibilities

• Architectural Leadership: Define, design, and validate end-to-end SaaS product architectures across cloud-native environments.
• Technology Strategy: Recommend frameworks, platforms, and design patterns aligned with business and product roadmaps.
• Scalability & Performance: Ensure the product design supports multi-tenancy, high availability, resilience, and global scalability.
• Security & Compliance: Incorporate industry best practices for data security, privacy, and compliance (GDPR, HIPAA, SOC2, etc., as relevant).
• Collaboration: Work closely with product managers, developers, DevOps, and business stakeholders to translate business requirements into technical solutions.
• Mentorship: Provide technical guidance and coaching to engineering teams on architecture, coding practices, and system integration.
• Evaluation: Assess third-party tools, APIs, and cloud services for integration and cost-effectiveness.
• Documentation: Create and maintain architecture blueprints, decision records, and technical documentation.

Qualifications & Experience

• Education: Bachelor’s/Master’s in Computer Science, Engineering, or related field (or equivalent experience).
• Experience:
• 10+ years in software architecture, with at least 5+ years in SaaS product development.
• Agentic AI, LLM, Langchain, design and architect secure scalable modular design with knowledge in docker and Kubernetes
• Proven track record of designing and delivering SaaS solutions at scale.
• Strong experience with one or more cloud platforms (AWS, Azure, GCP).
• Hands-on expertise in microservices, APIs, containers (Docker, Kubernetes), CI/CD pipelines.
• Knowledge of security frameworks, IAM, and data protection for SaaS.
• Excellent problem-solving, communication, and stakeholder management skills.

Preferred Skills

• Familiarity with AI/ML or data-driven SaaS solutions.
• Experience in multi-tenant architectures.
• Exposure to event-driven and serverless architectures.
• Domain experience in [insert relevant industry/domain, if applicable].

Engagement Details

• Commitment: ~15–20 hours per week (flexible scheduling).
• Type: Advisory + hands-on involvement where necessary.
• Duration: Initial 6-month engagement with potential extension.

Skills: SaaS, Artificial Intelligence (AI), Solution architecture, Product development, Large Language Models (LLM), Docker and Kubernetes