|
|
|
|
|
Solution Architect
|
|
Posting Date : 15 Jun 2026 | Close Date :13 Sep 2026
|
|
Job Summary
We are looking for an experienced Solution Architect to lead the design and
governance of secure, scalable, and compliant technology solutions within a financial
services (insurance) enterprise environment . This role requires strong expertise
in modern application frameworks, application security, and network architecture,
particularly in designing API Gateway–based communication between frontend
channels and backend core insurance systems . The Solution Architect will ensure
solutions meet regulatory requirements, enterprise security standards, and business
needs while supporting digital transformation initiatives across the insurance value
chain.
Key Responsibilities
• Design end-to-end solution architectures for digital insurance platforms,
including customer portals, agent systems, and core backend services.
• Define and enforce architecture standards aligned with financial services
regulatory, security, and compliance requirements .
• Architect secure and scalable frontend-to-backend communication using API
Gateways , supporting omnichannel access (web, mobile, partner integrations).
• Design and review network topology, including API gateways, load balancers,
firewalls, DMZ, and secure connectivity to internal and external systems.
• Ensure application and API security best practices are embedded in solution
designs, including:
• OWASP Top 10
• Secure API design (OAuth2, OpenID Connect, JWT, mTLS)
• Data encryption in transit and at rest
• Analyze and remediate findings from penetration testing, vulnerability
assessments, and security audits , working closely with security teams.
• Collaborate with development, infrastructure, DevOps, security, and risk teams
to ensure solutions comply with enterprise policies and regulatory expectations.
• Provide architectural oversight during development, testing, deployment, and
production support.
• Evaluate and recommend technologies, frameworks, and platforms suitable
for high availability, resiliency, and disaster recovery.
• Produce and maintain architecture artifacts, including solution designs,
integration diagrams, and security models.
Required Qualifications
• Bachelor’s degree in Computer Science, Information Technology, or a related
field (or equivalent professional experience).
• Proven experience as a Solution Architect or Technical Architect in a financial
services or insurance enterprise environment .
• Strong knowledge of modern application frameworks and architectures (e.g.,
React, Angular, Spring Boot, .NET Core, Node.js, microservices).
• Solid understanding of application security, with hands-on experience
addressing:
• Penetration testing findings
• Vulnerability scanning results
• Secure coding and secure API practices
• Strong experience with API Gateway platforms (e.g., Kong, Apigee, AWS API
Gateway, Azure API Management).
• In-depth understanding of enterprise network architecture, including:
• Frontend and backend segregation
• API gateway placement
• Load balancing, firewall rules, and secure connectivity
• Familiarity with insurance systems, data sensitivity, and regulatory
considerations (e.g., customer data protection, auditability, resiliency).
• Experience with cloud platforms (AWS, Azure, or GCP) and hybrid architectures
is an advantage.
• Exposure to CI/CD pipelines and DevSecOps practices is preferred.
Soft Skills
• Strong analytical and problem-solving skills with a risk-aware mindset.
• Excellent communication skills, able to translate complex technical concepts
into business-relevant discussions.
• Ability to influence architecture decisions across cross-functional teams without
direct authority.
• High level of accountability and ownership in a regulated, enterprise
environment.
• Collaborative and proactive, with the ability to balance innovation and
compliance.
• Strong documentation, presentation, and stakeholder management skills.
Added Advantage
• Experience with LLMOps or AI/ML platform architecture, including:
• Deployment and governance of large language models in enterprise
environments
• Secure integration of LLMs with APIs and backend systems
• Model monitoring, versioning, and risk controls (e.g., data privacy,
hallucination mitigation)
• Familiarity with responsible AI principles, especially in regulated financial
services contexts.
| | | | |