Technical Architect – Manager

Jobtailor

Bengaluru

On-site

INR 3,500,000 - 7,500,000

Full time

14 days+

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Job summary

Jobtailor in Bengaluru, India, seeks a senior backend architect to own platform architecture for Python-led components, APIs, automation utilities and AI/LLM integrations. You will lead architectural decisions, reviews and production-readiness checks, while guiding engineers on API design, data models and secure coding practices.

You will mentor teams, drive CI/CD discipline, observability and release governance, and collaborate with product, DevOps and security to deliver robust enterprise

Qualifications

Strong hands-on Python & Java programming background for backend services, automation, scripting and enterprise integration.
Proven experience designing REST APIs, microservices, event/message-based integrations and service-to-service communication patterns.
Strong understanding of SQL/relational databases, data modelling, query optimisation, transaction handling and integration with application services.
Experience with CI/CD, Git-based version control, automated testing, code quality gates, release management and DevOps practices.
Ability to define architecture decisions, document trade-offs and govern implementation quality across multiple engineers.
Security-first mindset covering secure coding, secrets handling, dependency hygiene, vulnerability remediation and compliance-aware delivery.
Mandatory experience with AI engineering concepts, LLM-based solution design, prompt/orchestration patterns and safe integration of AI capabilities into enterprise applications.
Hands-on knowledge of relevant AI agentic frameworks and platforms such as Microsoft Agent Framework, Azure AI Foundry / Foundry SDK, OpenAI Agents SDK, Semantic Kernel, AutoGen, LangChain / LangGraph, CrewAI and LlamaIndex Workflows, including autonomous workflow design, tool/function calling, MCP-based tool integration, multi-agent orchestration, human-in-the-loop patterns, memory, planning and AI-enabled SDLC acceleration.
Ability to evaluate and select the right agentic framework based on use case complexity, orchestration model, model/provider compatibility, tool ecosystem, MCP/A2A readiness, deployment model, governance, observability, enterprise security and production support requirements.
Understanding of robotics, automation platforms, robotic process automation or robotics-integrated digital solutions, with the ability to connect software engineering patterns to physical or process automation use cases.
Strong communication, stakeholder management, coaching and team leadership skills.

Responsibilities

Define architecture decisions and reference patterns for backend teams to follow during development.
Lead technical design reviews, code reviews, dependency assessments and production-readiness checks before major releases.
Mentor senior developers, support capability building and create a culture of engineering excellence and reusable delivery practices.
Guide engineers on Python/Java service design, API contracts, database access patterns, error management and automated testing.
Partner with product owners, DevOps and security to align technology choices with business outcomes and delivery priorities.
Drive CI/CD discipline, observability, logging, monitoring, vulnerability remediation and release governance.
Identify delivery risks early and remove blockers to ensure teams have tools and support to execute.
Contribute to estimation, sprint planning, backlog refinement and stakeholder communication across delivery pods.

Skills

Python Programming

Java Programming

AI Engineering Concepts

REST API Design

CI/CD Practices

Tools

Microsoft Agent Framework

Azure AI Foundry

OpenAI Agents SDK

Semantic Kernel

LangChain

LangGraph

CrewAI

LlamaIndex Workflows

Git

CI/CD Tools

Robotic Process Automation

Job description

Own backend and agentic platform architecture for Python-led platform components across APIs, services, automation utilities, AI/LLM integrations, multi-agent workflows, Microsoft Agent Framework, Azure AI Foundry, OpenAI Agents SDK, Semantic Kernel, AutoGen, LangChain / LangGraph, CrewAI, LlamaIndex Workflows, MCP-based tool integration, robotics-enabled solutions and enterprise integration layers.
Define design principles, reference patterns, coding standards and reusable engineering assets for backend teams.
Translate functional and non-functional requirements into concrete architecture decisions covering scalability, security, performance, reliability and maintainability.
Lead technical design reviews, code reviews, dependency assessments and production-readiness checks before major releases.
Guide engineers on Python service design, Java service integration, API contracts, database access patterns, error management and automated testing.
Partner with product owners, architects, DevOps teams and security stakeholders to align technology choices with business outcomes and delivery priorities.
Drive CI/CD discipline, environment readiness, observability, logging, monitoring, vulnerability remediation and release governance.
Identify delivery risks early, remove technical blockers, manage dependencies and ensure the team has the right tools, standards and support to execute effectively.
Mentor senior developers, support capability building and create a culture of engineering excellence, documentation and reusable delivery practices.
Contribute to estimation, sprint planning, backlog refinement, stakeholder communication and technical decision-making across delivery pods.

Requirements

Strong hands-on Python & Java programming background for backend services, automation, scripting and enterprise integration.
Proven experience designing REST APIs, microservices, event/message-based integrations and service-to-service communication patterns.
Strong understanding of SQL/relational databases, data modelling, query optimisation, transaction handling and integration with application services.
Experience with CI/CD, Git-based version control, automated testing, code quality gates, release management and DevOps practices.
Ability to define architecture decisions, document trade-offs and govern implementation quality across multiple engineers.
Security-first mindset covering secure coding, secrets handling, dependency hygiene, vulnerability remediation and compliance-aware delivery.
Mandatory experience with AI engineering concepts, LLM-based solution design, prompt/orchestration patterns and safe integration of AI capabilities into enterprise applications.
Hands-on knowledge of relevant AI agentic frameworks and platforms such as Microsoft Agent Framework, Azure AI Foundry / Foundry SDK, OpenAI Agents SDK, Semantic Kernel, AutoGen, LangChain / LangGraph, CrewAI and LlamaIndex Workflows, including autonomous workflow design, tool/function calling, MCP-based tool integration, multi-agent orchestration, human-in-the-loop patterns, memory, planning and AI-enabled SDLC acceleration.
Ability to evaluate and select the right agentic framework based on use case complexity, orchestration model, model/provider compatibility, tool ecosystem, MCP/A2A readiness, deployment model, governance, observability, enterprise security and production support requirements.
Understanding of robotics, automation platforms, robotic process automation or robotics-integrated digital solutions, with the ability to connect software engineering patterns to physical or process automation use cases.
Strong communication, stakeholder management, coaching and team leadership skills.

Core Competencies

Demonstrates expertise in Python and Java programming for backend services, with a strong focus on AI engineering concepts and secure coding practices. Capable of leading architectural decisions, mentoring teams, and ensuring high-quality delivery through effective collaboration and governance.

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