
Technical Architect
isocrates
Posted 2026-07-30
INR 4,000,000 - INR 6,000,000 per year
Customer Success & Delivery
Job Description
Ovii's Interpretation of the Role
The Technical Architect will own the end‑to‑end architecture of MADTECH.AI’s cloud‑native, multi‑tenant B2B SaaS platform, guiding design, security, and scalability across data, AI, and integration layers. This senior, hands‑on role blends deep engineering expertise with mentorship and cross‑functional leadership.
Role Snapshot
- Own platform‑wide technical architecture
- Lead cloud‑native design on AWS
- Mentor engineering teams
- Drive security, compliance, and governance
- Shape AI and data engineering strategy
Must-Have Requirements
- AWS cloud services (EKS, EC2, Lambda, etc.)
- Python programming
- React frontend
- Microservices & event‑driven architecture
- Distributed systems design
- Kubernetes & Docker
- Infrastructure as Code (Terraform)
- CI/CD pipelines
- SQL/NoSQL databases (PostgreSQL, Redshift, Snowflake, DynamoDB)
- ETL/ELT and data lake/warehouse design
- Security & compliance (Zero‑Trust, SOC2, ISO27001)
- software engineering
- solution/application architecture
- Bachelor's or Master's degree in Computer Science, Engineering, or related discipline
Nice-to-Have Signals
- AWS Certified Solutions Architect (Professional)
- Marketing analytics / MarTech / AdTech experience
- AI/ML platforms, LLMs, Generative AI, MLOps
- Streaming technologies (Kafka, Kinesis)
- Observability platforms (Grafana, Prometheus, ELK, Datadog)
- Agile/Scrum product development
- AWS certification
- marketing analytics
- AI/ML platforms
Work Setup
- Location: Bengaluru, India
- Work mode: ONSITE
- Employment type: Full-Time
Eligibility Gates
- Visa sponsorship: unknown
Not Specified in JD
- Salary range
- Visa sponsorship
- Remote eligibility
What You'll Likely Work On
- Define and govern the overall technical architecture for a multi‑tenant SaaS platform
- Design scalable, secure, and highly available cloud‑native solutions on AWS
- Architect data pipelines, data lake/warehouse, and AI/ML integration layers
- Establish engineering standards, ADRs, and design‑review processes
- Collaborate with product, AI, security, and DevOps teams to align technology with business goals
- Mentor senior engineers and technical leads, fostering best practices and innovation
Good Fit If You Have
- Enjoys solving complex engineering challenges at scale
- Strong communication and stakeholder‑management abilities
- Passionate about mentoring and building high‑performing engineering teams
Skills
- AWS cloud services (EKS, Lambda, S3, etc.)
- Python & React development
- Microservices & event‑driven design
- Distributed systems & multi‑tenant architecture
- Infrastructure as Code (Terraform)
- CI/CD pipelines (GitHub Actions, Jenkins)
- Data engineering (ETL/ELT, Data Lake, Redshift, Snowflake)
- SQL/NoSQL databases (PostgreSQL, DynamoDB)
- Security & Zero‑Trust best practices
- Leadership, stakeholder management