Software Architect

Role: Software Architect - Backend

Location Bangalore

Tekion is looking for a talented Backend Architect who wants to be part of building the next-generation business applications on the cloud. Software Engineer will use his/her passion and expertise for creating world-class products. He/she will collaborate with the product and engineering teams anddevelopment managersto create the business application ofthe future.

Key Responsibilities

• Design and build solutions for complex business workflows

• Take end-to-end ownership of components and be responsible for the subsystems that you

• work on from design, code, testing, integration, deployment, enhancements, etc.

• Write high-quality code and taking responsibility for their task

• Solve performance bottlenecks

• Provide mentorship to other engineers

• Communicate and collaborate with management, product, QA, UI/UX teams

• Deliver with quality, on-time in a fast-paced start-up environment Skills & Qualifications

• Bachelor's in computer science or relevant fields

• Strong sense of ownership

• Excellent Java and object-oriented development skills

• Experience in building and scaling microservices

• Solid understanding of at least one Nosql databases

• Attitude for getting things done

• Strong problem-solving skills, technical troubleshooting and diagnosing

• Expected to be a role model for young engineers, have a strong sense of code quality,

and enforce code quality within the team

• Good Communication SkillsAbility to work in a fast-paced start-upenvironment

Qualifications:

Must Have

• 12+ years of software engineering experience, with at least 1+ year in AI/Gen AI -focused roles
• Currently writing production code
• 3+ years of experience in solution, architecture and engineering, with a proven track record of inheriting and scaling engineering teams
• Deep hands-on experience with LLMs in production: RAG architectures, prompt engineering at scale, agentic tool-calling, evaluation and observability.
• Strong software engineering fundamentals: system design, API design, distributed systems,
• CI/CD, and production operations.
• Track record of personally architecting and shipping AI-powered features in a product company(not just overseeing others who did).
• Excellent hiring instincts: ability to source, evaluate, and close strong AI/ML talent in a
• competitive market.
• Strong cross-functional collaboration skills: experience partnering closely with Product, Design, and Data teams

Nice to Have

• Experience in automotive, ERP, or complex vertical SaaS domains with messy real-world data.
• Familiarity with cloud-native, microservices-based architectures at scale.
• Contributions to open-source AI/ML projects or published research in applied AI.
• Experience with ML platform/infra: model serving, feature stores, experiment tracking, A/B testing frameworks.
• Understanding of responsible AI practices: bias detection, hallucination mitigation, data privacy and auditability