Role overview
- 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
What you'll work on
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.
- 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
What we're looking for
- 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 available to OpenKyber. Phone 703-5 9 2 .9.5.1.7 Thanks for all your time!
For applications and inquiries, contact: [email protected]
Tags & focus areas
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