Technical Architect

Role: Technical Architect – App Development & AI

Experience: 10–16 years

Location: Hyderabad

Fission Labs, headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals.

What are we looking for!

We are seeking an experienced Technical Architect with 10–16 years of software engineering experience and strong expertise in Python, AWS, and modern application architecture. The ideal candidate must have 3–4 years of recent, hands-on Python experience, while earlier experience in Java or .NET is welcome. The candidate should be capable of defining scalable, secure, cloud-native application architectures, guiding engineering teams, and bringing practical exposure to AI/GenAI solutions.

Responsibilities

Technical Architecture & Application Engineering:

• Define end-to-end architecture for scalable, secure, and high-performing applications using microservices, APIs, event-driven systems, and cloud-native patterns.
• Translate complex requirements into architecture designs, component blueprints, integration patterns, data flows, and technical specifications.
• Drive Python backend architecture using frameworks such as FastAPI, Django, or Flask; guide implementation and review designs/code for quality, performance, and maintainability.
• Leverage prior Java/.NET experience to integrate, modernize, and architect applications across heterogeneous technology environments.

AWS & Cloud Architecture:

• Design highly available, fault-tolerant, secure, and cost-optimized AWS solutions using services such as EC2, Lambda, ECS/EKS, API Gateway, S3, RDS, DynamoDB, SNS/SQS, and Step Functions.
• Guide cloud deployment, Docker/Kubernetes, CI/CD, infrastructure automation, cloud security, monitoring, observability, disaster recovery, and cost optimization.

AI/GenAI Architecture:

• Architect AI-enabled applications using LLMs, RAG, embeddings, vector databases, AI agents, and conversational AI.
• Work with AI platforms/APIs such as OpenAI, Azure OpenAI, and Gemini; understand orchestration, prompt engineering, evaluation, guardrails, and production readiness.

Technical Leadership & Governance:

• Lead architecture reviews, design walkthroughs, technical risk assessments, and resolution of complex engineering challenges.
• Mentor senior engineers and technical leads, establish engineering standards, and ensure implementation aligns with architecture, security, and quality expectations.

Qualifications

• 10–16 years of experience in software engineering, application development, and technical architecture.
• 3–4 years of strong, hands-on Python development experience in recent years, with frameworks such as FastAPI, Django, or Flask.
• Earlier hands-on experience in Java, .NET, or similar enterprise technologies is acceptable.
• Strong hands-on experience in AWS architecture and implementation across compute, storage, databases, networking, security, and integration services.
• Strong understanding of microservices, REST/GraphQL APIs, event-driven architecture, distributed systems, and cloud-native application design.
• Experience with Docker, Kubernetes, CI/CD pipelines, infrastructure automation, SQL/NoSQL databases, caching, and messaging systems.
• Practical exposure to AI/GenAI application architecture, including LLMs, RAG, embeddings, vector databases, AI agents, and AI API integrations.
• Strong understanding of application security, scalability, performance, reliability, and observability.
• Experience leading technical design discussions, architecture reviews, POCs, and mentoring engineering teams.
• Excellent problem-solving, communication, collaboration, and technical decision-making skills.

You would enjoy

• Opportunity to work on impactful application engineering, cloud, and AI challenges for global clients.
• Vast opportunities for self-development, including online university access and knowledge-sharing opportunities.
• Sponsored Tech Talks & Hackathons to foster innovation and learning.
• Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more.
• Supportive work environment with forums to explore passions beyond work.