
10,000+ employees
Founded 2021
🏢 Enterprise
🔒 Cybersecurity
☁️ SaaS
Enterprise • Cybersecurity • SaaS
Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.
🔥 0 minutes ago
🤠 Texas – Remote
💵 $138.5k - $263.2k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 AI Engineer
🦅 H1B Visa Sponsor
Angular
AWS
Azure
Cloud
Docker
Firebase
Google Cloud Platform
JavaScript
Kafka
Kubernetes
MongoDB
Node.js
NoSQL
Postgres
Python
RabbitMQ
React
Redis
SQL
TypeScript
Vue.js
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10,000+ employees
Founded 2021
🏢 Enterprise
🔒 Cybersecurity
☁️ SaaS
Enterprise • Cybersecurity • SaaS
Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.
• Design and deliver distributed architectures for large-scale, cloud-based enterprise systems (AWS, Azure, GCP). • Integrate Agentic AI capabilities into enterprise software. • Act as a technical authority, setting standards for security, scalability, and performance, ensuring poor code or weak architecture is prevented from entering production. • Translate vague customer requirements into actionable technical designs. • Lead discussions, challenge ideas, and align teams on a clear technical direction. • Collaborate with engineers and stakeholders to ensure timely delivery of MVPs and production-ready solutions. • Design and develop robust back-end services using Node.js, Python, or other back-end technologies. • Integrate large language models (LLMs) and multimodal AI models into applications. • Optimize application performance, ensuring efficiency in AI inference and API response times. • Ensure security, scalability, and compliance of AI-driven applications. • Stay up to date with the latest advancements in Generative/Agentic AI, web development, and cloud technologies.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience). • 6+ years of experience in full-stack development, with a track record of building scalable, production-ready systems. • Strong proficiency in JavaScript/TypeScript, Python, and modern front-end frameworks (React, Vue, or Angular). • Experience with agentic frameworks such as LangChain, AutoGen or CrewAI. • Hands-on experience with integrating AI models via APIs (OpenAI, Hugging Face, etc.). • Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques. • Experience with cloud platforms (e.g., AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines. • Strong understanding of database technologies (SQL, NoSQL, Firebase, MongoDB, PostgreSQL). • Ability to design scalable and maintainable architectures for AI-driven applications. • Capable of working closely with cross-functional teams to deliver cohesive, end-to-end functionality. • Knowledge of message queues (e.g., RabbitMQ, Kafka) and caching systems (e.g., Redis).
• medical and dental coverage • disability • retirement benefits • paid leave • paid time off • discretionary annual bonus program • professional development opportunities
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