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Principal Solutions Architect (Distributed Systems)

Hybrid in Denver, CO, US • Posted 23 hours ago • Updated 16 hours ago

Contract Independent

Contract W2

1 Year

No Travel Required

On-site

Up to $80/hr

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

DynamoDB
MongoDB
RDBMS
PostgreSQL
MySQL
Redis
Distributed Caching
Cloud Architecture
AWS
Azure
GCP
Kubernetes
K8s
Docker
Containerization
Serverless
CI/CD
AI Agentic Solutions
AI Agents
LLM Integration
Generative AI Engineering
Domain-Driven Design (DDD)
L3 Support
L4 Support
Telecom BSS/OSS
Distributed Systems Architecture
High-Scale Backend Engineering
High Availability
Microservices
Java
Spring Boot
Golang
Go
Kafka
RabbitMQ
NoSQL
Cassandra
High-Level Design (HLD)
Low-Level Design (LLD)

DynamoDB
MongoDB
RDBMS
PostgreSQL
MySQL
Redis
Distributed Caching
Cloud Architecture
AWS
Azure
GCP
Kubernetes
K8s
Docker
Containerization
Serverless
CI/CD
AI Agentic Solutions
AI Agents
LLM Integration
Generative AI Engineering
Domain-Driven Design (DDD)
L3 Support
L4 Support
Telecom BSS/OSS
Distributed Systems Architecture
High-Scale Backend Engineering
High Availability
Microservices
Java
Spring Boot
Golang
Go
Kafka
RabbitMQ
NoSQL
Cassandra
High-Level Design (HLD)
Low-Level Design (LLD)

Summary

We are seeking an exceptional Principal Solutions Architect who is a highly skilled, hands-on technical expert dedicated to designing, building, operating, and scaling robust, reliable, enterprise-scale software systems.

This is a core Distributed Systems Architecture role. The ideal candidate is a backend infrastructure master with a proven track record of handling high-concurrency, high-availability platforms using Java or Golang. While this role includes leveraging AI agentic workflows for software engineering optimization, this is strictly NOT a Machine Learning, Data Science, or AI Research position. We require a foundational software architect who builds rock-solid enterprise backends.

Key Responsibilities

Design & Delivery Ownership: Create optimal technical designs for complex distributed systems. Take end-to-end ownership of software delivery, guaranteeing alignment with approved designs, strict SLAs, and enterprise technology stacks.
Documentation Excellence: Produce comprehensive system design documents, including logical designs with data flow, deployment architectures, High-Level Design (HLD), and Low-Level Design (LLD) addressing functional and non-functional requirements (security, scalability, performance, availability, reliability).
Strategic Collaboration: Partner closely with Product Managers, Engineering Managers, CxO leaders, and core engineering teams to align technical strategy with business goals.
Operational & Incident Management: Provide critical L3/L4 engineering support. Actively participate in production incident calls, triage complex system failures to achieve the shortest Mean Time to Recovery (MTTR), and architect long-term preventive solutions.
System Automation & Tooling: Establish and champion best practices for the engineering lifecycle, leveraging automation and practical AI tools to accelerate development, testing, and CI/CD pipelines.
AI Workflow Integration: Architect and embed practical AI-based agentic workflows directly into high-scale distributed backend systems where appropriate to optimize functionality.
Mentorship & Technical Direction: Contribute to the organization’s overall technical vision. Act as a teacher and reviewer, providing technical guidance to engineers, domain experts, and individual contributors.

Required Qualifications & Skills (Must-Haves)

Distributed Systems Mastery: 5+ years of experience designing and architecting high-concurrency distributed systems at internet or enterprise scale. Deep understanding of microservices architecture, fault tolerance, and high-availability patterns.
Extensive Hands-On Architecture: 15+ years of total software engineering experience, including 6+ years as a hands-on Technical/Solutions Architect creating HLDs and LLDs.
Core Programming Proficiency: Strong, recent hands-on coding experience in Java/Spring Boot or Golang for building backend infrastructure.
Full-Stack Ecosystem Management: Proven track record managing diverse, complex components including backend services, distributed caches, databases, messaging middleware (e.g., Kafka, RabbitMQ), and cloud-native infrastructure.
Cloud Architecture: Strong expertise building scalable software in cloud (AWS/Azure/Google Cloud Platform), on-premise, or hybrid environments using containerization (高度な Kubernetes, Docker) and serverless technologies.
Data Modeling: Strong hands-on experience selecting, benchmarking, and designing data models for services across both RDBMS and NoSQL systems (document, graph, or column stores like Cassandra or DynamoDB).
AI Application Integration: 2+ years of experience integrating AI Agentic solutions, workflow automation, or cognitive APIs into standard production backend software architectures.
SDLC Fluency: Comprehensive understanding of all Software Development Life Cycle (SDLC) phases, with a strong focus on post-production stability, observability, and performance tuning.

Highly Desirable (Added Advantages)

Experience working in a product-based, SaaS, or hyper-growth environment.
Knowledge of Domain-Driven Design (DDD) principles.
Prior domain experience in Telecom BSS/OSS environments.
Familiarity with frontend applications, micro-frontends, MVVM design patterns, and component architecture (Mobile/Web).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91124577
Position Id: 9079022
Posted 23 hours ago

Contact the job poster

Lakshmi Ramachandra

Recruiter @ Bramkas Inc.

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