Lead Technical Architect

Architect/Lead Engineer : Python with Agentic AI :- Bangalore/Remote :

Experience - 7-11 years

Location:

Type:

The Opportunity

We are expanding the extended software product engineering team for its partner, a US-based SaaS platform company that predicts threats to workers and critical infrastructure to stop incidents before they happen. Our partner’s software delivers a clear picture of risk up to a week in advance, so decision makers can take action in the right place, at the right time, before an incident occurs. Many of the largest energy and infrastructure companies in North America trust Our Partner to protect their workers, assets, and the communities they serve.The candidate would be joining an existing team of product engineers in the US, and India and help us establish an extended product engineering team

Our Hunt

We are looking for an enthusiastic, self-motivated, hands-on senior Python backend engineer to join the back-end platform engineering team for our partner. Experience with a fast-paced India/US product start-up or a product engineering services company in a developer role, building a high-performance real-time distributed system is mandatory. Applicants having experience in developing and maintaining large scale healthcare systems/platforms are preferred. Applicants must have a passion for engineering with accuracy and efficiency, be highly motivated and organized, able to work as part of a team, and also possess the ability to work independently with minimal supervision.

Who You Are:

• BTech/BE CS or related discipline with 8+ years of backend experience designing,

  building large-scale distribution systems

  , and maintaining enterprise web applications
• 8+ years of hands-on experience developing backend systems using

  Python

  , with a deep understanding of software design, performance, and maintainability
• Proven experience with modern

  Python frameworks

  such as

  FastAPI, Django, or Flask

  , used in production at scale
• Strong expertise in designing and implementing

  RESTful and GraphQL APIs

  , with a focus on scalability, versioning, and clean data modeling
• Solid working knowledge of

  PostgreSQL

  or other relational databases, including schema design, query optimization, and handling large datasets
• Exposure to or experience working with

  Agentic AI

  systems or integrating LLM-based agents into backend workflows
• Experience building and deploying applications on

  AWS

  , leveraging services like

  EC2, Lambda, RDS, S3, and CloudWatch

• Familiar with microservices architecture, asynchronous programming, and event-driven systems
• Comfortable with

  Docker, Kubernetes,

  and setting up

  CI/CD

  pipelines for smooth and reliable deployments
• Strong understanding of backend engineering best practices: testing, observability, security, and resilience at scale
• Experience working in cross-functional teams with product, frontend, and

  DevOps

  , following agile methodologies

What you'll do:

• Design and

  build scalable backend systems

  using Python and modern frameworks like

  FastAPI, Django, or Flask

  , optimized for performance and maintainability
• Stay current with emerging backend technologies, and (ideally) explore how Agentic AI and LLM integrations can be leveraged in modern backend services
• Develop and maintain robust

  RESTful and GraphQL APIs

  that power internal systems, user-facing apps, and external integrations
• Architect

  distributed microservices

  capable of handling large-scale workloads, with a focus on fault tolerance, security, and observability
• Own data modeling and query design for

  PostgreSQL

  and other databases, ensuring data integrity and query performance
• Work closely with DevOps to define and implement cloud-native infrastructure on

  AWS

  , including CI/CD, monitoring, and auto-scaling
• Collaborate cross-functionally with product managers, frontend developers, and other engineers to define features, scope solutions, and deliver high-impact projects
• Implement

  asynchronous tasks

  and event-driven workflows using tools like

  Celery

  and message queues (e.g., Kafka, SQS)
• Contribute to technical architecture decisions and influence best practices across engineering
• Write clean, well-documented, and testable code, with a strong emphasis on quality and continuous improvement

Additional Project/Soft Skills:

Should be able to work independently with India & US based team members.

Strong verbal and written communication with ability to articulate problems and solutions over phone and emails.

Strong sense of urgency, with a passion for accuracy and timeliness.

Ability to work calmly in high pressure situations and manage multiple projects/tasks.

Ability to work independently and possess superior skills in issue