Senior Solution Architect
1 week ago
About the Role
We are seeking an experienced
Chief Architect / CTO
to lead technology vision, architecture, and execution for our data-intensive, AI-powered SaaS platforms. The ideal candidate is a hands-on technology strategist with deep experience in cloud-native platforms, large-scale data engineering, and machine learning, as well as a proven ability to guide cross-functional engineering teams.
Key Responsibilities
- Define and drive the company's technology vision, architecture strategy, and product roadmap.
- Architect and scale multi-tenant SaaS platforms leveraging AWS, GCP, and Kubernetes.
- Lead design and delivery of high-volume data pipelines (streaming and batch) and AI/ML systems (including Generative AI, NLP, and Computer Vision).
- Ensure system scalability, security, and cost-optimization; drive SOC 2 readiness and data governance.
- Oversee POCs and new technology evaluations (Distilled LLM, RAG models, advanced NLP pipelines).
- Mentor and grow high-performing engineering teams; establish architecture review boards, guilds, and best practices.
- Partner with business leadership to translate market opportunities into scalable, high-impact technical solutions.
Key Requirements
- Experience:
15+ years in software engineering, architecture, and leadership, including 5+ years in senior leadership roles (Principal Engineer / Architect / CTO). - Technical Leadership:
Proven ability to manage and mentor cross-functional teams across backend, data, and ML engineering. - Architecture Expertise:
Strong background in system & data architecture, cloud-native platforms, microservices, event-driven design, and multi-tenant SaaS. - AI/ML Skills:
Hands-on experience with ML/Gen-AI, NLP, computer vision, and model deployment at scale. - Cloud & DevOps:
Deep experience with AWS, GCP, Kubernetes, Terraform, Docker, and CI/CD pipelines. - Security & Compliance:
Familiarity with SOC 2, secure SDLC, IAM, and data privacy best practices. - Education:
Advanced degree in Computer Science or related field preferred (MS, BTech, or equivalent). CTO/Technology Leadership certification is a plus.
Technical Environment
- Languages:
Java, Scala, Python, Go, , C++ - Data & ML:
Spark, Airflow, PyTorch, HuggingFace, RAG - Streaming:
Kafka, Kinesis, RabbitMQ - Databases:
Postgres, MongoDB, Cassandra, Redis, Redshift - Observability:
Prometheus, Grafana, Splunk, ELK - Other:
Apache Tika, OpenCV, Vision API
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