Job DescriptionAbout MADTECH.AIMADTECH.AI is a next-generation Marketing Decision Intelligence Platform that enables enterprises to unify marketing, media, customer, and business data into actionable insights. Our cloud-native B2B SaaS platform leverages AI, advanced analytics, automation, and scalable data engineering to help global organizations make faster, data-driven decisions.We are looking for a highly experienced Technical Architect to lead the architecture and technical direction of our platform. This role is ideal for a hands-on technology leader who enjoys solving complex engineering challenges, mentoring teams, and building scalable cloud-native products.Key ResponsibilitiesPlatform Architecture- Define and own the overall technical architecture for MADTECH.AI's cloud-native multi-tenant SaaS platform. Design scalable, secure, resilient, and highly available distributed systems capable of supporting enterprise workloads.- Architect multi-tenant solutions with tenant isolation, role-based access control (RBAC), feature management, licensing, subscription management, and usage metering.- Define architecture principles, engineering standards, technical guidelines, design patterns, and best practices.- Establish architecture governance through Architecture Decision Records (ADRs), design reviews, technical standards, and governance processes.- Drive technical decision-making and evaluate architectural trade-offs across engineering initiatives.- Lead technology evaluations and recommend modern technologies aligned with business strategy.- Drive platform modernization initiatives while reducing technical debt and improving long-term maintainability.Cloud & Infrastructure- Design and implement enterprise-grade cloud-native architectures on AWS.- Architect cloud-native applications leveraging services such as: Amazon EKS, EC2, Lambda, API Gateway, S3, RDS, Redshift, DynamoDB, SNS/SQS, EventBridge, CloudFront, WAF, ElastiCache, Secrets, Cognito, CloudWatch, etc.,- Build highly available, fault-tolerant, disaster recovery-ready architectures across cloud environments.- Design scalable infrastructure supporting high availability, business continuity, disaster recovery, and automated failover.- Optimize cloud architecture for scalability, reliability, security, operational excellence, and cost efficiency.Application Engineering- Lead architecture and design of up-to-date cloud-native microservices-based applications.- Define API-first architecture principles and service-oriented design standards.- Establish engineering standards for Python, React, Node.Js, TypeScript, FastAPI, and modern backend technologies.- Define reusable software architecture patterns, coding standards, and engineering governance.- Guide engineering teams in building highly maintainable, extensible, testable, and performant applications.- Establish secure API lifecycle management, versioning, documentation (OpenAPI), OAuth2 authentication, rate limiting, and API governance.- Drive adoption of Domain-Driven Design (DDD), event-driven architecture, CQRS, and scalable integration patterns where appropriate.Data Engineering & Analytics- Architect enterprise-scale cloud-native data platforms supporting structured, semi-structured, and unstructured data.- Design contemporary Data Lake, Lakehouse, and analytical data warehouse architectures.- Architect scalable ETL/ELT pipelines, Change Data Capture (CDC),



streaming pipelines, and reverse ETL solutions.- Design robust enterprise data models optimized for analytics, AI workloads, reporting, and self-service analytics.- Work with PostgreSQL, Amazon Redshift, Snowflake, NoSQL databases, Redis, and distributed data stores.- Optimize large-scale analytical workloads for performance, scalability, and cost efficiency.- Enable high-performance data access supporting AI, reporting, and advanced marketing analytics.Integration & iPaaS- Design scalable enterprise integration frameworks using REST APIs, GraphQL, event-driven architectures, messaging systems, and asynchronous processing.- Build reusable integration services and connectors using iPaaS principles.- Lead integrations with MarTech, AdTech, CRM, CDP, ERP, and third-party marketing platforms.- Design secure, scalable, and resilient integration architectures.- Establish API lifecycle management, integration governance, versioning strategies, and developer standards.- Design reusable connector frameworks supporting rapid onboarding of new data sources and destinations.AI & Intelligent Automation- Partner with AI/ML teams to integrate predictive analytics, machine learning, Generative AI, and Agentic AI capabilities throughout the platform.- Design AI-native application architectures utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and intelligent workflows.- Architect scalable AI orchestration frameworks using technologies such as LangChain, LangGraph, Model Context Protocol (MCP), and modern AI tooling where appropriate.- Design AI governance frameworks covering model deployment, observability, security, scalability, monitoring, and responsible AI practices.- Support deployment and lifecycle management of production AI models through scalable MLOps practices.- Evaluate emerging AI technologies and drive adoption where they create measurable business value.Security & Compliance- Ensure platform architecture follows Secure-by-Design and Zero Trust principles.- Design secure authentication, authorization, RBAC, encryption, secrets management, secure API practices, and identity management.- Implement cloud security best practices across AWS services.- Collaborate with Security teams to meet SOC 2, ISO 27001, GDPR, and other regulatory compliance requirements.- Drive threat modeling, vulnerability management, secure SDLC, and security architecture reviews.- Promote secure coding practices and proactive risk mitigation across engineering teams.DevOps & Engineering Excellence- Champion CI/CD, Infrastructure as Code (Terraform), automated testing, deployment automation, and release management.- Collaborate with DevOps teams on Kubernetes, Docker, Helm, GitHub Actions, Jenkins, and modern deployment pipelines.- Drive Platform Engineering initiatives to improve developer experience through self-service infrastructure, reusable platform components, and internal developer tooling.- Improve platform observability using OpenTelemetry, distributed tracing,



centralized logging, monitoring, alerting, Grafana, Prometheus, CloudWatch, and New Relic.- Define Service Level Objectives (SLOs), Service Level Indicators (SLIs), operational metrics, and platform reliability standards.- Lead architecture reviews, design documentation, performance optimization, capacity planning, and engineering governance.Leadership- Provide technical leadership and mentorship to engineering teams, technical leads, and senior engineers.- Drive architecture strategy and long-term technology roadmap aligned with business objectives.- Guide solution design, technology selection, and architectural trade-offs.- Partner closely with Product Management, Engineering Leadership, AI/Data Science, DevOps, Security, and Customer Success teams.- Participate in product roadmap planning and strategic technology decisions.- Lead architecture review boards, technical governance forums, and engineering design reviews.- Mentor engineers on software architecture, cloud-native design, distributed systems, and engineering best practices.- Represent engineering in executive discussions, customer technical engagements, and strategic architecture planning.- Foster a culture of innovation, engineering excellence, collaboration, and continuous improvement.Required Qualifications- Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.- 12+ years of software engineering experience, including 5+ years in solution/application architecture.- Proven experience architecting enterprise-scale multi-tenant B2B SaaS platforms.- Strong experience designing cloud-native applications on AWS.- Deep understanding of distributed systems, microservices, event-driven architecture, Domain-Driven Design (DDD), and scalable system design.- Strong programming knowledge in Python and experience with modern frontend technologies such as React.- Expertise in REST APIs, GraphQL, API Gateway, and integration architecture.- Experience with SQL, PostgreSQL, Redshift, Snowflake, and NoSQL databases.- Strong knowledge of ETL/ELT frameworks and large-scale data platforms.- Experience working with Kubernetes, Docker, and container orchestration.- Strong understanding of DevOps practices, CI/CD pipelines, and Infrastructure as Code.- Experience implementing secure application architecture and cloud security best practices.- Excellent leadership, stakeholder management, communication, and problem-solving skills.Preferred Qualifications- AWS Certified Solutions Architect (Professional) or equivalent certification.- Experience with Marketing Analytics, MarTech, AdTech, Customer Data Platforms (CDPs), or Marketing Mix Modeling (MMM).- Exposure to AI/ML platforms, LLMs, Generative AI, and MLOps.- Experience with streaming technologies such as Kafka or Kinesis.- Familiarity with observability platforms such as Grafana, Prometheus, ELK, or Datadog.- Experience building multi-tenant SaaS platforms.- Experience working in Agile/Scrum product organizations.Why Join MADTECH.AI- Build a cutting-edge AI-powered Marketing Decision Intelligence platform.- Solve large-scale data, analytics, and cloud engineering challenges.- Work alongside experienced AI, Data Science, Product, and Engineering leaders.- Influence product architecture and technology strategy from the ground up.- Be part of a fast-growing, innovation-driven global SaaS organization.

📌 Technical Architect (Bengaluru)
🏢 iSOCRATES
📍 Bengaluru