Senior Technical Architect

iSOCRATES; Bengaluru; Hybrid; INR 3,500,000 - 6,000,000; Full time

Job summary

iSOCRATES is seeking a highly experienced Technical Architect to lead the architecture and technical direction of our cloud-native platform. This role is ideal for a hands-on technology leader who enjoys solving complex engineering challenges, mentoring teams, and building scalable products.

The role encompasses defining scalable multi-tenant architectures on AWS, establishing engineering standards, and guiding API-first development with Python and React.

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 architecture.
• Deep understanding of distributed systems, microservices, event-driven architecture (DDD) and scalable design.
• Strong programming knowledge in Python and experience with frontend technologies such as React.
• Expertise in REST APIs, GraphQL, API Gateway, and integration architecture.
• Experience with SQL/NoSQL databases (PostgreSQL, Redshift, Snowflake, NoSQL).
• Experience with ETL/ELT frameworks and large-scale data platforms.
• Experience with Kubernetes, Docker, and container orchestration.
• Strong DevOps practices, CI/CD pipelines, and Infrastructure as Code.
• Experience implementing secure architecture and cloud security best practices.
• Excellent leadership, stakeholder management, communication, and problem-solving skills.
• Ability to balance scalability, reliability, security, performance, cost, time-to-market, and maintainability.

Responsibilities

• Define and own the overall technical architecture for MADTECH.AI's cloud-native multi-tenant SaaS platform (note: this line adapted for placeholder platform name in this context).
• Architect multi-tenant solutions with RBAC, feature management, licensing, and usage metering.
• Establish architecture principles, standards, guidelines, and governance processes.
• Drive technical decision-making and evaluate architectural trade-offs across initiatives.
• Lead technology evaluations and recommend modern technologies aligned with business strategy.
• Design scalable enterprise-grade cloud-native architectures on AWS (EKS, EC2, Lambda, API Gateway, etc.).
• Lead modern cloud-native microservices-based application design and API-first architecture.
• Guide secure API lifecycle management, versioning, OpenAPI, OAuth2, rate limiting, and governance.
• Foster secure-by-design, zero-trust, and cloud security best practices across teams.
• Mentor engineers, lead architecture reviews, and contribute to long-term technology roadmaps.

Skills

Distributed systems

Microservices

DDD

Python

React

REST APIs

GraphQL

PostgreSQL

Redshift

Snowflake

NoSQL databases

ETL/ELT

Kubernetes

Docker

CI/CD

Infrastructure as Code

AWS

Security best practices

Leadership

Stakeholder management

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related discipline

Tools

Terraform

GitHub Actions

Jenkins

OpenTelemetry

Grafana

Job description

We are looking for a highly experienced Technical Architect/Senior 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 Responsibilities

• 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.
• 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 modern 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.
• Architect enterprise-scale cloud-native data platforms supporting structured, semi-structured, and unstructured data.
• Design modern 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.

  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.
  • 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.
  • 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.
  • Demonstrated ability to make pragmatic architectural trade-offs between scalability, reliability, security, performance, cost, time-to-market and maintainability.

  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.

  About MADTECH.AI

  MADTECH.AI is the Decision Intelligence platform for mission-driven organizations and their partners.

  Eliminate the burden of data wrangling, model building, data visualization, and optimization in one cost-effective AI-powered hub. By delivering sharper, on-demand insights, predictions, recommendations, and proactive problem-solving, the platform reduces data complexity empowering clients to make smarter, data-driven decisions faster and more affordably.

  Headquartered in St. Petersburg, Florida, U.S.A. with global capability centers in Mysuru and Bengaluru, Karnataka, India, MADTECH.AI proudly offers platform support and Professional Services staffed with proven specialists who save clients money, time and achieve transparent, accountable performance while delivering extraordinary value.

  Required Skills

  NoSQL B2B SaaS Architecture Design Product Development & Engineering Continuous Integration and Deployment (CI/CD) Python MS SQL ETL / ELT Pipelines AWS DevOps Engineering