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Software Architect

10 - 15 years

15 - 25 Lacs

Posted:22 hours ago| Platform: Naukri logo

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Job Description

Position Title: Software Architect

Role Overview

We are seeking an exceptional Software Architect to spearhead the design of next-generation, AI-driven SaaS solutions for industrial and enterprise environments. This role sits at the intersection of intelligent applications, scalable SaaS and cloud architectures, and cutting-edge Industrial IoT (IIoT).

As a Software Architect, you will shape the architecture of intelligent systems that connect real-time sensor data from industrial environments with powerful AI/ML models, advanced analytics, and modern web/mobile user experiences. Youll design secure, multi-tenant SaaS platforms capable of delivering high performance, scalability, and seamless customer experiences.

From architecting event-driven microservices and data pipelines to designing agentic AI solutions and SaaS multi-tenancy strategies, youll influence every layer of our technology stack. Youll guide engineering teams in building robust, scalable, and future-proof applications that transform how industrial, and enterprise businesses operate.

If youre passionate about solving real-world challenges through modern cloud-native SaaS architectures and AI-driven innovation and thrive in designing complex distributed systems this is the perfect opportunity.

Key Responsibilities

1.

  • Industrial IoT (IIoT) solutions including real-time data collection, edge computing, and analytics.
  • AI/ML-driven applications for predictive maintenance, anomaly detection, and intelligent automation.
  • Multi-tenant SaaS platforms delivering enterprise applications and services to diverse customers.
  • Internal enterprise systems and modern web/mobile applications.

2.

  • AI/ML pipelines and model lifecycle management (including agentic AI, self-learning models, and automation orchestration).
  • Microservices architectures leveraging modern backend technologies (.NET Core, Node.js, NestJS, Python).
  • Event-driven systems using protocols like MQTT, Kafka, or AMQP for industrial connectivity and cloud integrations.

3.

  • Multi-tenant SaaS design patterns for tenant isolation, scalability, and cost optimization.
  • Serverless computing, container orchestration, and Infrastructure as Code practices.

4.

  • Using frameworks such as React (latest libraries) and Flutter.
  • Delivering responsive, intuitive, and data-rich web and mobile user experiences.
  • Architect API ecosystems supporting REST, GraphQL, and real-time data integrations across enterprise and SaaS platforms.

5.

  • Structured data (SQL) and unstructured/time-series data (NoSQL, time-series DBs).
  • Scalable, high-performance data storage and retrieval in SaaS contexts.

6.

  • Identity and access management for SaaS multi-tenancy.
  • Encryption, secure API practices, and compliance considerations for shared environments.

7.

  • Data science teams to operationalize ML models in cloud and edge environments.
  • Hardware/IoT teams for seamless integration from sensors to cloud.
  • Product and UX teams to translate complex requirements into scalable architecture for SaaS and enterprise applications.

8.

  • Guide architecture decisions, design reviews, and best practices for building scalable, maintainable SaaS and enterprise solutions.

9.

  • SaaS architecture patterns and multi-tenant security.
  • Agentic AI and Industry 4.0 technologies.
  • Modern DevOps and cloud-native development practices.

Preferred Candidate Profile

Technical Expertise

1.

  • Deep experience designing and building multi-tenant SaaS platforms.
  • Knowledge of SaaS architecture considerations:
  • Tenant data isolation and security.
  • Subscription management and usage metering.
  • SLA enforcement, monitoring, and cost optimization.
  • Hands-on expertise in cloud-native development across AWS, Azure, or GCP.
  • Strong understanding of serverless architecture, Kubernetes, and Infrastructure as Code (Terraform, Pulumi, etc.).

2.

  • Hands-on experience deploying ML models with frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with agentic systems, reinforcement learning, and self-learning architectures.

3.

  • Expertise in distributed systems design with .NET Core, Node.js, NestJS, and Python.
  • Strong grasp of microservices, domain-driven design, and event sourcing.

4.

  • Proficiency in modern frontend frameworks like React and Flutter.
  • Experience designing highly interactive, data-driven web and mobile apps.

5.

  • Knowledge of protocols like MQTT, OPC-UA, Modbus, and integrating with industrial control systems.
  • Experience with edge computing architectures and real-time analytics.

6.

  • Expert-level knowledge of relational databases (SQL Server, PostgreSQL) and NoSQL solutions (MongoDB, Redis, time-series DBs).
  • Understanding of big data and streaming architectures for SaaS analytics.

7.

  • Deep understanding of enterprise and SaaS security principles, encryption standards, OAuth, JWT, API security, and secure DevOps practices.

Soft Skills

  • Strategic thinker with strong analytical and problem-solving skills.
  • Excellent communication skills, capable of translating complex technical concepts for diverse stakeholders.
  • Inspirational mentor and team leader who fosters collaboration and knowledge sharing.
  • High adaptability and a passion for continuous learning.

Preferred Candidate Profile

  • Experience working in

    CMMI Level 2 or Level 3 organizations

    , with:
    • Structured software development processes.
    • Strong documentation practices.
    • Process compliance and quality standards.
    • Familiarity with process improvement methodologies.

Education

  • UG: B.Tech/B.E. in Computer Science, Information Technology, Electronics/Telecommunication, Electrical Engineering.
  • PG: M.Tech or equivalent preferred, but not mandatory for exceptional candidates.

Why Join Us?

  • Shape the future of SaaS-based industrial and enterprise digitization.
  • Work at the cutting edge of:
    • AI, agentic systems, and machine learning.
    • SaaS and cloud-native architectures.
    • IIoT and Industry 4.0 innovations.
  • Collaborate with a high-caliber, passionate technology team.
  • Competitive compensation, benefits, and leadership growth opportunities.

PumpAcademy Private Limited is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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