via Dice
$85K - 130K a year
Design, implement, and lead cloud-native full-stack solutions with a focus on scalability, security, and operational excellence.
7+ years experience in cloud-native full-stack engineering with strong backend, frontend, and data platform skills, plus leadership and mentoring capabilities.
Kellton Tech is a full-service software development company, offering end-to-end IT solutions, strategic technology consulting and product development services in Web, SMAC (Social, Mobile, Analytics, Cloud), ERP-BPM, and IoT space Our methodology of inventing infinite possibilities with technology helps us develop best in-class and cost effective solutions for our clients. Currently Kellton Tech is looking for talented resources for one of our listed client. Below are the position details Role: Lead Full Stack Engineer Location: Remote Type: long term temporary Profile: Strong cloud full-stack engineering experience, with deep knowledge across backend services, data platforms, APIs, and front-end analytics applications. You are comfortable designing and operating cloud-native solutions end to end from data ingestion and transformation to secure service layers and intuitive dashboard experiences. In this role, you will: Software Solutioning & Design (10%) • Develop and maintain a thorough understanding of the customer s business processes and operations • Work closely with Solutions Architect and other Lead Engineers evaluating feature requests, providing level-of-effort estimates and contributing to sprint planning • Conduct and participate in peer code and design reviews Design, Architecture & Implementation (60%) • Shape the technical direction, scalability, and reliability of enterprise analytics platforms supporting mission-critical exam operations • Design, implement, and maintain resilient cloud-native data architectures, real-time telemetry pipelines, APIs, and high-performance reporting systems • Build secure, scalable full-stack solutions spanning backend services, data platforms, and front-end analytics applications • Lead end-to-end solution design from data ingestion and transformation to secure service layers and intuitive dashboard experiences • Establish and enforce strong architectural patterns, automation standards, and observability practices • Engineer and maintain systems with a focus on continued scalability, data integrity, high availability, and long-term reliability • Embed monitoring, telemetry, and operational readiness into all platform components Technical Leadership & Engineering Excellence (20%) • Serve as a technical anchor for the team, guiding complex design decisions and large-scale problem-solving effort • Mentor engineers and elevate development standards across cloud, data, and full-stack domains • Clearly communicate architectural tradeoffs, technical strategy, and platform decisions to cross-functional stakeholders • Promote best practices in secure system design, automation, performance optimization, and resilient engineering Team Operations & Cross-Functional Collaboration (10%) • Partner with product, operations, and security stakeholders to align technical solutions with business and operational priorities • Support high-stakes exam readiness through proactive risk identification, capacity planning, and reliability reviews • Foster a culture of ownership, documentation, accountability, and continuous improvement About You You have: • 7+ years of experience designing, building, and operating scalable, cloud-native applications, data pipelines, and analytics platforms in high-availability environments • 3+ years of experience developing modern front-end applications using TypeScript and React, with a strong focus on analytics dashboards and data-driven interface • Strong hands-on experience with backend technologies such as Node.js (preferably with TypeScript) and Python, building APIs, event-driven services, and data processing components that power real-time and near real-time analytics • Experience designing and maintaining reliable, scalable data ingestion, transformation, and orchestration pipelines to support operational and analytical workloads • Expertise in developing responsive, secure, and high-performance user interfaces using TypeScript, JavaScript, HTML, and CSS • Experience implementing role-based access control (RBAC) and secure access patterns to ensure proper data governance and protection of sensitive information • Experience with asynchronous programming, event-driven architectures, and telemetry/event-streaming patterns • Hands-on experience with real-time data monitoring and analytics platforms such as Grafana and InfluxDB • Strong experience with cloud-based data stores and query engines such as Amazon Redshift, Athena, DynamoDB, and S3-based data lakes, including performance optimization and trend analysis. • Deep expertise in data modeling and transformation within AWS, leveraging services such as Glue, Redshift, Athena, EMR, Lambda, and S3 to build scalable, performant, and reliable analytical data foundations • Experience implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions within analytics platforms, including integrating predictive models, anomaly detection, trend analysis, or intelligent insights into production systems • Familiarity with ML lifecycle practices, model deployment, monitoring, and operationalization using platforms such as SageMaker Studio, Amazon Quick Suite or similar environments • Deep knowledge of AWS services including Lambda, SNS, SQS, S3, Step Functions, IAM, KMS, and CloudWatch • Experience provisioning and managing cloud infrastructure using Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, and AWS CLI • A strong focus on scalability, data integrity, reliability, and operational readiness • Proven ability to mentor engineers and promote engineering excellence • Strong analytical thinking, structured problem-solving, and effective communication skills Nice to Have: • Exposure to building or operating analytics capabilities within a SaaS platform environment, including multi-tenant architecture considerations • Familiarity with cell-based architecture patterns that support isolation, fault containment, horizontal scalability, and resilience at scale • Experience designing systems that support tenant-level data isolation, performance segmentation, and secure access controls • Understanding of platform-level observability and operational strategies in distributed, cell-based systems Apply: Interested candidates can apply with their detailed word formatted resume along with their contact information\availability to raj (dot) sekhar (at) kellton (dot) com Phone 703-5 9 2 .9.5.1.7 Thanks for all your time!
This job posting was last updated on 3/10/2026