Technical architect

Job Title : Python Django Developer

Experience : 3+ Years

Location : Gurgaon

Working Days : 6 Days (Monday to Saturday)

Job Summary :

We are looking for a skilled Python Django Developer with strong foundational knowledge in backend development, data structures, and operating system concepts.

The ideal candidate should have experience in Django and PostgreSQL, along with excellent logical thinking and multithreading knowledge.

Technical Skills : Python, Django (or Flask), PostgreSQL/MySQL, SQL & NoSQL ORM, REST API development, JSON/XML, strong knowledge of data structures, multithreading, and OS concepts.

Key Responsibilities :

• Write efficient, reusable, testable, and scalable code using the Django framework.
• Develop backend components, server-side logic, and statistical models.
• Design and implement high-availability, low-latency applications with robust data protection and security.
• Contribute to the development of highly responsive web applications.
• Collaborate with cross-functional teams on system design and integration.

Mandatory Skills :

• Strong programming skills in Python and Django (or similar frameworks like Flask).
• Proficiency with PostgreSQL / MySQL and experience in writing complex queries.
• Strong understanding of SQL and NoSQL ORM.
• Solid grasp of data structures, multithreading, and operating system concepts.
• Experience with RESTful API development and implementation of API security.
• Knowledge of JSON/XML and their use in data exchange.

Good-to-Have Skills :

• Experience with Redis, MQTT, and message queues like RabbitMQ or Kafka
• Understanding of microservice architecture and third-party API integrations (e.g., payment gateways, SMS/email APIs)
• Familiarity with MongoDB and other NoSQL databases
• Exposure to data science libraries such as Pandas, NumPy, Scikit-learn
• Knowledge in building and integrating statistical learning models.

Job Title: PYTHON AND AGENTIC AI

Location: Bangalore

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Experience: 6+ Yrs

Skills: Python for Data Science, AI Agents.

Role Descriptions:

Architect and lead development of scalable| production-grade agentic AI systems.

Design serverless| event-driven workflows using Azure Functions| Logic Apps| and Power Automate.

Build and optimize ML models for predictive analytics| anomaly detection| and recommendations using Azure ML| Databricks| and Python.

Ensure observability and reliability through Azure Monitor| logging| and alerting frameworks.

Define and enforce architecture patterns| reusable components| and governance standards.

Lead code reviews| technical design sessions| and agile ceremonies.

Leverage Microsoft AI Foundry to build and deploy agents that meet enterprise-grade standards

Mentor and coach junior engineers| fostering a culture of innovation and technical excellence.

Drive cross-team collaboration and alignment on agentic AI strategy and execution.

Own delivery timelines| quality benchmarks| and stakeholder communication.

Champion best practices in DevOps| CI/CD| and model lifecycle management.

Stay ahead of trends in AI| machine vision| and IoT to guide strategic decisions.

Cross-Functional Collaboration

Work closely with Data Scientists & ML Engineers for model development and integration

Product Managers & UX Designers aligning agent capabilities with user needs

Enterprise Architects & DevOps Engineers ensuring scalability and deployment efficiency

Security & Compliance Teams meeting regulatory and governance requirements

Business Stakeholders & SMEs defining use cases and validating outcomes

Change Management & Enablement Teams supporting adoption and training efforts

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Technology & Tools

Languages & Platforms: Python| Power Apps| Power Automate| Databricks| Snowflake

AI Platforms: Microsoft AI Foundry (highly preferred)| Copilot Studio (optional)

Cloud & ML Tools: Azure Machine Learning| Azure DevOps| GitHub

Data & Observability: Vector Databases| Azure Monitor

Vision & IoT: Azure IoT Hub| OpenCV| TensorFlow| PyTorch (for edge and vision-based agents)

Strong Python Developer profile with robust AWS exposure

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Mandatory (Experience 1): Must have 7+ years of hands-on software development experience with at least the recent 4+ years in Python and strong hands on knowledge of AWS

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Mandatory (Tech skill 1): Must have strong working knowledge of Python.

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Mandatory (Tech skill 2): Must have good understanding of AWS services including EC2, S3, Lambda, IAM, CloudWatch, and ECS or ECR

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Mandatory (Tech skill 3): Must be able to write and understand REST APIs

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Mandatory (Tech skill 4): Must be comfortable with version control tools such as Git, GitHub, Bitbucket, or GitLab

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Mandatory (Tech skill 5): Must have good understanding of databases such as PostgreSQL, MySQL, or DynamoDB

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Mandatory (Tech skill 6): Must have familiarity with Linux commands and shell scripting

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Mandatory (Skill): Must have good debugging and problem-solving skills, with the ability to read existing code and make changes independently with light guidance

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Mandatory (Skill 2): Must have strong communication skills

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Preferred (Tech skill 1): Experience with AWS CodeCommit, and exposure to AWS CodeBuild, CodeDeploy, CodePipeline, GitHub Actions, Jenkins, or similar CI/CD tools

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Preferred (Tech skill 2): Basic understanding of CI/CD pipelines

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Preferred (Tech skill 3): Experience with Docker or container-based applications

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Preferred (Tech skill 4): Basic knowledge of infrastructure-as-code tools such as Terraform or AWS CloudFormation

Role Overview:

We are seeking a Tech Lead (5–14 yrs experience) to design, build, and scale the technology

foundation for our Support Excellence function. This role sits at the intersection of engineering,

product, and operations ensuring that our internal teams and, eventually, our end users

experience seamless, efficient, and data-driven support.

You will lead a small but high-impact team of engineers, own the support tooling roadmap, and

implement solutions that handle ticket triage, data quality issues, automation, and integrations

with our healthcare SaaS platform.

This is a hands-on technical leadership role ideal for someone who thrives on solving

operational challenges through technology, building frameworks from scratch, and enabling

customer-facing and internal support teams to scale effectively.

Key Responsibilities

1. Build & Enhance Support Platform:

● Own the engineering roadmap for support tooling — ticketing systems, triage workflows,

knowledge bases, and automation bots.

● Design and implement scalable support frameworks, ensuring fast triage, data-driven

escalation, and high-quality resolution.

● Integrate support tooling with product backend, CMS, and analytics systems to enable

context-aware assistance.

2. Technical Leadership & Delivery:

● Lead a small team of engineers (SEs and SSEs), providing guidance on design, architecture,

and coding standards.

● Stay hands-on with coding and reviews while enabling the team to deliver high-quality,

maintainable solutions.

● Partner closely with Program Managers and Business Analysts to translate requirements

into technical execution.

3. Automation, Data & AI-Driven Support:

● Implement automation workflows (bots, routing, notifications) to reduce manual load and

optimize SLA adherence.

● Drive the adoption of AI/ML solutions for ticket classification, triage, and predictive

resolution.

● Build analytics dashboards to track support KPIs (FRT, TTR, resolution quality).

● Partner with Product Managers, Designers, and Engineers to ensure delivery fidelity.

● Restore transparency and speed between business stakeholders and tech teams.

4. Cross-functional Collaboration:

● Work with Product, QA, Customer Success, and Ops to ensure support needs are captured

early in the roadmap.

● Serve as the engineering voice in discussions on escalation flows, release readiness, and

customer-facing support enablement.

● Collaborate with content and ops teams to power self-service experiences (knowledge

bases, FAQs, in-app help).

5. Documentation & Knowledge Management:

● Maintain technical documentation for support tooling, workflows, and integrations.

● Contribute to knowledge bases (internal + external) alongside ops and content teams.

● Foster a documentation-first culture to enable faster onboarding and smoother

collaboration.

What We’re Looking For

Must-Have

● 5–7 years of experience in software engineering, with at least 2+ years in a senior/lead

role.

● Proven track record in building internal platforms, support tools, or automation systems.

● Strong technical skills: Python/Node/Java, SQL, cloud services (AWS/GCP), and integration

experience with ticketing/support platforms (e.g., Zendesk, Freshdesk, ServiceNow, Jira

Service Management).

● Experience leading small teams and owning delivery from design → build → release.

● Excellent problem-solving skills with a bias for execution in fast-paced environments.

Nice to Have

● Exposure to SaaS or healthcare platforms with multi-tenant architecture.

● Familiarity with AI/ML-driven support solutions (classification, prediction, NLP chatbots).

● Hands-on experience with support metrics and dashboards (CSAT, SLA adherence, TTR).

● Knowledge of documentation frameworks (Confluence, Notion, Git-based wikis).

Candidate must have 6+ years of backend engineering experience, with 1–2 years leading engineers or owning major systems.

Candidate must be from a product-based organization with a startup mindset.

Must be strong in one core backend language: Node.js, Go, Java, or Python.

Deep understanding of distributed systems, caching, high availability, and microservices architecture.

Hands-on experience with AWS/GCP, Docker, Kubernetes, and CI/CD pipelines.

Strong command over system design, data structures, performance tuning, and scalable architecture

Ability to partner with Product, Data, Infrastructure, and lead end-to-end backend roadmap execution.