Sr. Software Architect

4 - 15 years

0 Lacs

Posted:15 hours ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior Software Architect, you will leverage your 15+ years of software development experience, including at least 5 years in a lead architect or similar technical leadership role within a SaaS product company. Your primary responsibility will be to design and deliver large-scale SaaS platforms in a multi-tenant environment. You must demonstrate a proven track record in designing and implementing cloud-native architectures, specifically on AWS, while being well-versed in microservices and serverless paradigms. Your expertise in front-end technologies such as React, Angular, and Vue will be crucial for developing data-rich, interactive UI/UX for analytical dashboards and BI tools, including charting interactive tables and widgets. In addition to front-end proficiency, you should have a deep understanding of backend service integration, encompassing RESTful APIs, GraphQL, WebSockets, message queues, and event-driven architecture. A solid foundation in data modeling, database performance optimization, and distributed systems is essential for success in this role. Experience with CI/CD, DevOps practices, and modern deployment strategies like Docker, Kubernetes, and Terraform will be beneficial. Your strong communication skills will enable you to effectively collaborate with cross-functional teams and influence decision-making processes. Preferred qualifications include familiarity with AI/ML integrations, real-time data processing, or streaming analytics. Hands-on experience with observability tools such as Datadog, Grafana, and OpenTelemetry is a plus. Prior involvement in build vs. buy evaluations and integrating with large ecosystems like Salesforce, HubSpot, Stripe, and Twilio will be advantageous. This is a permanent position with benefits including Provident Fund. The ideal candidate will have 5 years of experience in SaaS, 5 years in front-end development, 4 years in AI, and 5 years in machine learning. The work location is in person.,

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