Job Title

OverviewAs a Technical Architect, you will play a pivotal role in defining, designing, and overseeing the technical architecture of our projects while maintaining strong hands-on coding capabilities. You will work across Frontend, Backend, DevOps, and Data Engineering domains, ensuring best practices, scalability, and efficiency in all solutions. You will also act as a mentor, guiding engineers at different levels while staying current with emerging technologies including AI/ML and LLM stacks.Key ResponsibilitiesDefine technical architecture and lead design discussions for scalable, secure, and high-performance applicationsProvide hands-on coding and technical expertise across the full technology stackDesign and implement solutions using Java, Python, and Node.js ecosystemsArchitect event-driven systems and messaging architectures using Kafka and other messaging platformsDesign and oversee data pipelines and data engineering solutionsActively participate in client-facing meetings, presenting technical solutions, addressing concerns, and building confidence through clear and professional communicationEngage with clients during requirement-gathering sessions to understand business needs, ask the right technical questions, and translate ambiguous requirements into well-defined technical scopeProvide accurate effort and cost estimations based on client requirements, including breaking down work into tasks, identifying risks, and accounting for dependencies and technical complexityPrepare and present technical proposals, solution documents, and architecture blueprints to both technical and non-technical stakeholdersCollaborate with stakeholders, product managers, and development teams to translate business needs into technical solutionsOwn the scoping and feasibility assessment of incoming requests, providing timely and realistic timelines in alignment with business goalsDrive adoption of cloud-native, microservices, and modern architecture practicesImplement and oversee CI/CD pipelines, infrastructure automation, and monitoring systemsPerform code reviews, design reviews, and technical audits to ensure quality and adherence to standardsSupport pre-sales and RFP/RFI processes by contributing technical expertise, solution design, and estimation inputs — including an understanding of how technical scope translates to commercial proposals and pricingDesign, build, and integrate AI/ML capabilities and LLM-based solutions into existing and greenfield architecturesAct as a mentor and technical coach for software engineers across levelsContinuously evaluate and recommend new tools, frameworks, and practicesOwn technical risk management and ensure alignment with project timelines and goalsRequired Skills & ExperienceAround 15 years of IT industry experience, with at least 5+ years in an architect roleStrong hands-on coding capability with proven expertise in:Backend: Java with Spring Boot framework (microservices, REST APIs, Spring Cloud), Python (Django/FastAPI/Flask), Node.js (Express, NestJS)Frontend: React and Angular (mandatory), with strong JavaScript/TypeScript fundamentalsData Engineering: ETL/ELT pipelines, data warehousing, streaming architectures (Kafka, Spark)DevOps & Cloud: AWS/Azure/GCP, Docker, Kubernetes, CI/CD, Infrastructure-as-CodeStrong knowledge of system design, architecture patterns, and distributed systemsHands-on experience with databases (PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch)Experience with message queuing systems and event-driven architecturesAbility to design for scalability, performance, and securityProven hands-on experience with AI/ML and LLM engineering, including:Building production-grade applications using LLM stacks (OpenAI, Claude, LangChain, etc.)Designing and implementing RAG (Retrieval-Augmented Generation) architecturesWorking with Vector databases and embedding pipelinesPrompt engineering and AI/ML integration patternsProven ability to interact directly with clients — gathering requirements, managing expectations, and representing the technical team with confidenceCommercial awareness — understanding of how technical scope, architecture decisions, and effort estimates translate into commercial proposals, pricing models, and deal sizingStrong estimation skills — experienced in story point estimation, T-shirt sizing, work breakdown structures (WBS), and resource planning based on functional and non-functional requirementsExcellent verbal and written communication skills, with the ability to adapt technical language for diverse audiences including business stakeholders and C-level executivesStrong leadership, communication, and collaboration skillsExperience in mentoring and developing engineering teamsExposure to Agile/Scrum methodologyHighly DesiredExperience with GraphQL and modern API design patternsKnowledge of data modeling and analytics platformsFamiliarity with observability and monitoring toolsExperience working in client-facing or consulting environments, managing multiple stakeholder relationships simultaneouslyFamiliarity with project management frameworks (PMP, PRINCE2, SAFe) and how they influence technical planning and deliver