4 days ago
Chennai, India +3 moreStaff+
Responsibilities
- Lead legacy application assessment, portfolio rationalization, modernization planning, cloud migration roadmaps, service decomposition, and transformation strategy.
- Define target architectures, govern technology selection, ensure enterprise-standard compliance, and manage technical risks.
- Design and govern AI-powered solutions using multi-agent orchestration, RAG, API integrations, memory management, tool calling, state management, guardrails, evaluation, and human-in-the-loop controls.
- Lead API-led, event-driven, and hybrid integrations along with database modernization, migration, and data governance strategies.
- Define cloud architecture across Azure, AWS, and GCP, including containers, Kubernetes, resilience, observability, disaster recovery, CI/CD, and security controls.
- Design, build, and maintain high-volume mainframe business logic and refactor legacy code for cloud and mobile application integration.
- Create architecture and functional design documentation, implement components, unit test and document work, demonstrate features, resolve defects, estimate development work, and explain technical features to stakeholders.
- Lead architecture reviews, proofs of concept, innovation initiatives, technical governance, mentoring, and quality and compliance activities.
Requirements
- 12–16 years of experience, including 5+ years in architecture leadership.
- Experience with application portfolio assessment, rationalization, modernization, technical debt evaluation, and greenfield architecture design.
- Strong Enterprise Architecture, Solution Architecture, API and Integration Architecture, modernization, governance, and non-functional design experience.
- Hands-on experience with Java, Spring Boot, .NET/.NET Core, microservices, distributed systems, APIs, Kafka, RabbitMQ, and Service Bus or comparable messaging platforms.
- Strong database and cloud architecture experience with Oracle, PostgreSQL, SQL Server, MySQL, Azure, AWS, or GCP.
- Solution Architect certification in at least one hyperscaler cloud is mandatory.
- Hands-on AI Agent Architecture experience covering LLMs, RAG, agent orchestration, tool calling, state management, guardrails, evaluation, and secure deployment.
- Experience with large enterprise customers, distributed teams, governance frameworks, transformation programs, greenfield application development, enterprise platform engineering, and large-scale modernization programs.
- Bachelor’s degree in Computer Science, IT, Software Engineering, or a related field is preferred; a master’s degree is preferred.
- Preferred knowledge includes DevOps, containers, observability, security architecture, RTO/RPO, NoSQL technologies, architecture repositories, portfolio management tools, platform engineering, secure architecture, and AI-assisted modernization.
- Preferred certifications include TOGAF, Cloud Architect, Integration/API, Database, Agile, or DevOps certifications.
- Strong strategic thinking, stakeholder management, mentoring, communication, and delivery planning skills are preferred.
Benefits
- Hybrid-friendly work culture with programs supporting financial, mental, physical, and social well-being.
- Access to career planning tools, personalized development goals, continuous feedback, coaching, and hands-on learning opportunities.
- Opportunities to earn certifications with Microsoft, Google, and Amazon and gain experience across major cloud platforms.
- Inclusive culture focused on empathy, belonging, professional growth, and shared success.
Tech Stack
Apache KafkaAWSAzureGoogle Cloud PlatformJavaKubernetesMicrosoft SQL ServerMySQL.NETPostgreSQLRabbitMQSpring Boot
Categories
Solutions Engineering
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.