Who We Are:
Leap Metrics is headquartered in the Dallas/Fort Worth Metroplex. We are a data management, healthcare analytics, and AI-driven care management software company founded to improve health outcomes, lower the cost of care, and assist with regulatory compliance. Our software platform, Sevida™️ , stands for “in the service of human lives.” We are on a mission to empower healthcare to know enough to serve every life- better.
We are a company of passionate, experienced technologists, an innovative group of developers, designers, client advocates, and clinicians. Our team has some of the best enterprise software minds in the technology industry.
To learn more about us, please visit our website at Why work for Leap Metrics:
MEANINGFUL MISSION – Empowering health providers to focus on care
FULFILLMENT – Make an impact by building a meaningful product
LEADING EDGE TECHNOLOGY – Advance your technical skills by working with the latest and most innovative technology
COMPANY CULTURE - Team-oriented, collaborative, supportive, innovative
About the Role:
We are looking for an experienced, hands-on Enterprise Application Architect – Full Stack who can operate at both the architecture and engineering levels, understand a business problem, design the solution, explain and defend the architectural choices, guide engineers through implementation, and step into the code when necessary.
The right candidate should be comfortable answering not only “How should we build this?”, but also “Why is this the right architecture, what alternatives did we consider, and what are the trade-offs?”
The role requires strong experience across React, Node.js/Nest JS, Graph QL, microservices, event-driven architecture, Kafka, Mongo DB/My SQL, Kubernetes, GCP, authentication/authorization, caching, and modern AI-assisted development.
What You Will Do:
Own end-to-end solution and application architecture for complex Saa S platforms.
Translate business and functional requirements into scalable technical designs and architecture blueprints.
Define application boundaries, modules, services, APIs, data flows, integration patterns, and deployment architecture.
Make and document key architectural decisions, including technology selection and design trade-offs.
Design systems using modular monolith, microservices and event-driven architectures where appropriate.
Define Graph QL architecture, including schema design, federation/API composition and service boundaries.
Design asynchronous workflows and integration patterns using technologies such as Kafka.
Define data architecture across relational and No SQL databases, including My SQL and Mongo DB.
Define an authentication and authorization architecture using solutions such as Keycloak/OAuth2/and OIDC.
Design caching strategies using technologies such as Redis.
Define cloud-native architecture on Google Cloud Platform and Kubernetes.
Address scalability, performance, availability, resilience, observability, security and disaster recovery.
Establish architecture standards, reusable patterns and engineering best practices.
Create architecture, sequence, and data-flow diagrams, API specifications, and technical documentation.
Conduct architecture and code reviews to ensure implementations conform to agreed designs.
Build prototypes or proofs-of-concept to validate important architectural decisions.
Work closely with product managers, business stakeholders and engineering teams to refine requirements and identify technical solutions.
Mentor senior engineers and provide technical direction to development teams.
Identify and manage technical debt and modernization opportunities.
Evaluate new technologies and AI capabilities and determine where they provide meaningful business or engineering value.
Remain hands-on and contribute to critical implementation areas when required.
Requirements:
Approximately 10+ years of software engineering experience, with significant recent responsibility for application or solution architecture.
Proven experience architecting and building large-scale Saa S/web applications.
Strong hands-on background in React and Node.js, preferably Nest JS and Type Script.
Strong understanding of microservices, modular architectures, and Domain-Driven Design principles.
Strong experience designing event-driven architectures using Kafka or similar technologies.
Strong experience with Graph QL, including schema design and federated/composed Graph QL architectures.
Strong understanding of REST APIs and API design principles.
Experience designing solutions using My SQL and Mongo DB, including data modeling, indexing and performance considerations.
Experience with authentication and authorization standards such as OAuth 2.0, Open ID Connect, JWT, and Keycloak.
Experience with Redis or comparable distributed caching technologies.
Strong knowledge of Docker and Kubernetes architecture.
Significant cloud architecture experience, preferably with Google Cloud Platform (GCP).
Strong understanding of scalability, high availability, fault tolerance, observability, security, and disaster recovery.
Experience defining CI/CD and cloud-native deployment architectures.
Ability to analyze existing/legacy applications and develop pragmatic modernization strategies.
Experience creating technical architecture documentation and presenting design decisions to engineering and business stakeholders.
Experience working with globally distributed engineering teams.
Ability to mentor developers and influence technical direction without becoming a bottleneck.
Architecture Skills needed :
The successful candidate should be comfortable making and defending decisions such as:
Modular monolith vs. microservices.
Service and domain boundaries.
Synchronous vs. asynchronous communication.
REST vs. Graph QL.
Graph QL federation/schema composition strategies.
Kafka topics, events, consumers, retries, and idempotency.
SQL vs. No SQL data modeling.
Database ownership across services.
Authentication and authorization architecture.
Caching strategies.
Kubernetes deployment and scaling.
Resilience, fault tolerance and failure recovery.
Observability, logging and monitoring.
API and application security.
Legacy application modernization and incremental migration strategies.
AI & Modern Engineering
Strong understanding of AI-assisted software development and modern engineering workflows.
Ability to identify appropriate opportunities for incorporating AI capabilities into applications.
Experience designing or building AI-enabled applications/platforms is highly desirable.
Familiarity with LLM APIs, RAG, agents, or related AI application patterns is a plus.
Ability to evaluate AI technologies pragmatically rather than introducing them without a clear use case.
Nice to Have
Healthcare technology experience.
Experience working with HIPAA-regulated applications or other highly regulated systems.
Strong exposure to Domain-Driven Design (DDD).
Python and data engineering experience.
Experience with Big Data technologies.
Machine Learning/AI platform experience.
Experience modernizing legacy applications into modular or service-oriented architectures.
Experience with performance tuning, load balancing, high availability, and disaster recovery.
Education
Bachelor's or Master's degree in Computer Science, Engineering or a related discipline, or equivalent demonstrated professional experience.
Benefits:
Competitive salary
Health insurance
Paid time off
Professional development assistance
-- Please note: This is a hybrid position in Hyderabad --