Jayant Kumar — DevOps Engineer

Technology leader with 8+ years of experience building scalable backend systems, now specializing in Generative AI and Agentic System design. Proven track record in architecting multi-agent workflows, orchestration frameworks, and AI-driven automation platforms that significantly improve engineering productivity and business outcomes. Experienced in Java (up to 17), Spring Boot, Kafka, Azure, AWS, and event-driven architectures, with hands-on expertise in integrating LLMs, prompt engineering, and Human-in-the-Loop (HITL) systems into enterprise workflows. Strong background in leading engineering teams, designing distributed systems, and delivering mission-critical solutions across healthcare, fintech, and AI-driven domains. Recognized for bridging the gap between business logic and intelligent automation, mentoring teams, and driving end-to-end execution of complex, high-impact initiatives. ___________ Core Competencies - AI Engineering & Agentic Systems (LLMs, Multi-Agent Orchestration, HITL) - Generative AI & Prompt Engineering (Claude, Copilot, LLM Workflows) - Backend Architecture & Distributed System Design - Scalable Microservices & Event-Driven Systems (Kafka) - Cloud Platforms (Azure, AWS) - DevOps & CI/CD Automation - Technical Leadership & Team Management - AI-Driven Automation & Productivity Optimization - Agile Delivery & Cross-Functional Collaboration - Performance Optimization & Monitoring - Domain Expertise: Healthcare (UHG), Finance, Embedded Systems

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in AI-driven solutions across Healthcare and Fintech.

Location: Noida, Uttar Pradesh, India

Experience: 7 yrs 9 mos

Skills

Ai Engineering & Agentic Systems
Generative Ai & Prompt Engineering
Backend Architecture & Distributed System Design
Cloud Platforms
Ai-driven Automation & Productivity Optimization
Embedded Systems
Software Development

Career Highlights

Expert in Generative AI and Agentic System design.
Reduced data validation effort by 95% using GenAI.
Doubled delivery throughput with agent-based workflows.

Work Experience

MetLife

Assitant Manager - Technology (1 yr 1 mo)

Accenture

Custom Software Engineer Senior Analyst (2 yrs 4 mos)

Application Development Senior Analyst (1 yr)

Salesken

SDE2 (2 mos)

MediaTek

Senior Software Engineer (6 mos)

Engineer (11 mos)

Ftechiz Solutions

Software Engineer (1 yr 11 mos)

Education

Master of Computer Applications - MCA at Institute of Engineering and Technology

Master's degree at Simplilearn Alumni

Post graduate diploma at NIIT lucknow

BCA at Beacon Institute of Engineering and technology

System Design Masterclass at Arpit Bhayani System Design Master Class

Jayant Kumar

DevOps Engineer

Noida, Uttar Pradesh, India7 yrs 9 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Expert in Generative AI and Agentic System design.
Reduced data validation effort by 95% using GenAI.
Doubled delivery throughput with agent-based workflows.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in AI-driven solutions across Healthcare and Fintech.

Contact

Skills

Core Skills

Ai Engineering & Agentic SystemsGenerative Ai & Prompt EngineeringBackend Architecture & Distributed System DesignCloud PlatformsAi-driven Automation & Productivity OptimizationEmbedded SystemsSoftware Development

Other Skills

GenAIData ValidationJavaScriptCucumberAgentic SystemsOrchestrator PatternApproval Gate PatternCopilotJavaJava 17Spring BootKafkaAzure FunctionsCosmos DBAzure Data Factory

About

Experience

7 yrs 9 mos

Total Experience

2 yrs 2 mos

Average Tenure

1 yr 1 mo

Current Experience

Metlife

Assitant Manager - Technology

May 2025 – Present · 1 yr 1 mo · Noida, Uttar Pradesh, India · Hybrid

1. GenAI-Driven Data Validation Automation
Led the development of a dynamic, GenAI-assisted data validation suite for mainframe ↔ Limra transformations. Built an Excel-driven, configurable engine with GraalVM-executed JavaScript rules, eliminating hardcoded logic. Enabled functional analysts to generate validation scripts using structured prompts with Claude Sonnet, and integrated Cucumber NetMaster reporting for targeted execution.
Impact: Reduced validation effort by 95% (5–6 days → <30 minutes) across 100+ customers.
2. Agentic Development Framework for TPE Dashboard
Led the creation of an enrollment dashboard for TPE users with real-time enrollment and transaction insights. Designed an agent-based workflow using the Orchestrator Pattern (Supervisor Agent), Approval Gate Pattern (HITL), and Parallelization Pattern (Frontend/Backend Agents), with automated BDD generation and Copilot-driven code execution.
Impact: Doubled delivery throughput (2 → 4 user stories per cycle) with improved accuracy and consistency.

GenAIData ValidationJavaScriptCucumberAgentic SystemsOrchestrator Pattern+4

Accenture

2 roles

Custom Software Engineer Senior Analyst

Jan 2023 – May 2025 · 2 yrs 4 mos

Role: Lead Developer | Technologies: Java 17, Spring Boot, Kafka, Azure Functions, Cosmos DB, Azure Data Factory, Azure Monitor
Led and engineered a scalable, event-driven architecture to process high-volume healthcare claims with improved efficiency.
Solved Azure Function timeout issues by redesigning the system to publish individual records to a new Kafka topic, allowing each record
to be processed as a unique event.
Developed enhanced Java-based Azure Functions to consume and process these records independently, enabling parallel processing.
Leveraged Azure Functions auto-scaling to dynamically spawn 500+ instances, reducing processing time for 25 million records from 24
hours to just 3 hours — an 87.5% improvement.
Implemented Dead Letter Queues (DLQ) for error handling and automatic retries, ensuring fault tolerance.
Configured Azure Monitor and integrated alert mechanisms to track system health and proactively resolve issues.

Java 17Spring BootKafkaAzure FunctionsCosmos DBAzure Data Factory+3

Application Development Senior Analyst

Jan 2022 – Jan 2023 · 1 yr

Wealth Management Platform
Role: Backend Developer | Technologies: Java 17, Spring Boot, Kafka, IBM MQ, AWS (Fargate, CloudWatch, SNS, SES)
Integrated Kafka Connect with IBM MQ to transfer data seamlessly from external sources to internal Kafka queues.
Developed Java-based Azure Functions for batch data validation, routing, and consumption, ensuring real-time synchronization between
FNZ and Android apps.
Enhanced Kafka consumer efficiency by enabling batch processing, reducing processing time by 25%, while maintaining data consistency.
Leveraged multithreading to process multiple orders simultaneously, boosting system performance by 70%.
Implemented an automated alert mechanism using Amazon CloudWatch to monitor application health and trigger alerts via Amazon SNS
(Simple Notification Service).
Configured Amazon SES (Simple Email Service) to send real-time email notifications to the support team, enabling faster issue resolution.
Utilized Dead Letter Queues (DLQ) for error handling and collaborated with TCS, CGI, and FNZ teams to ensure smooth operations and
zero-downtime releases.

Java 17Spring BootKafkaIBM MQAWSAmazon CloudWatch+3

Salesken

SDE2

Sep 2021 – Nov 2021 · 2 mos · Bangalore Urban, Karnataka, India · On-site

Built a real-time voice intelligence system using Java 8, Servlets, JSP, and JavaScript, integrating Twilio for live call audio and AssemblyAI for real-time transcription.
Processed streaming audio buffers and converted them to text on the fly, enabling AI-driven live suggestions during sales
conversations.
Designed backend components using JDBC, PostgreSQL, and Redis for fast data retrieval and caching.
Implemented Spring Security with JWT for secure, token-based access and user authentication.
Indexed transcribed data into Elasticsearch for fast search and analytics on historical call insights.

Java 8ServletsJSPJavaScriptTwilioAssemblyAI+6

Mediatek

2 roles

Senior Software Engineer

Promoted

Mar 2021 – Sep 2021 · 6 mos

Role: Senior Embedded Engineer | Technologies: Java, C, C++, Android Open Source Project (AOSP), RTC Hardware
Integrated Android Open Source Project (AOSP) with Mediatek extensions to optimize performance for devices from Oppo, Samsung, and
Vivo.
Enhanced the AlarmManagerService by leveraging Real-Time Clock (RTC) hardware to improve scheduling accuracy, resulting in a 25%
boost in power management efficiency.
Resolved complex hardware-software integration issues across 70% of the chipset market, ensuring optimal performance and seamless
device operation.
Applied advanced performance tuning techniques to reduce embedded system latency by 10%, enhancing overall system responsivenes

JavaCC++Android Open Source ProjectRTC HardwareEmbedded Systems+1

Engineer

Mar 2020 – Feb 2021 · 11 mos

Worked as embedded software engineer with Google ASOP

Embedded Software

Ftechiz solutions

Software Engineer

Apr 2018 – Mar 2020 · 1 yr 11 mos · Dehra Dun, Uttarakhand, India

Software Engineer | Dehradun, India | April 2018 – March 2020
Built scalable applications using Java, Python, JavaScript, and frameworks like Spring, Angular, and Android.
Deployed cloud solutions on AWS and Google Cloud, supporting big data projects with Apache Spark.
Delivered client-focused software solutions, driving startup growth under strict deadlines.

JavaPythonJavaScriptSpringAngularAWS+4