Senior Distributed Systems Architect — AI Analytics Platform

Jobgether; United States; On-site; USD 190,000 - 205,000; Full time

Benefits offered by this job

Unlimited paid time off

Comprehensive medical, dental, and vision insurance

Employee equity participation program

Pet insurance

Job summary

Jobgether is hiring for a Senior Technical Leader in the United States, focusing on designing and scaling distributed, data-intensive systems for marketing intelligence platforms. The role involves working at the system and architecture level, collaborating with product and engineering teams, and mentoring engineers. Applicants should have over 8 years experience in distributed systems, strong knowledge of AWS and Kubernetes, and proficiency in programming languages like Java or Python. Benefits include a competitive salary and comprehensive insurance coverage.

Qualifications

• 8+ years of experience building and scaling production-grade distributed systems.
• Strong foundation in computer science principles and large-scale architecture design.
• Extensive hands-on experience with AWS services and infrastructure-as-code practices.
• Deep expertise in Kubernetes and containerized microservices.

Responsibilities

• Define, design, and evolve scalable distributed system architectures deployed on AWS and Kubernetes.
• Lead the development of microservices for large-scale data processing workloads.
• Establish engineering standards and best practices for building performant services.
• Collaborate with leadership to translate business strategy into technical roadmaps.

Skills

Distributed systems

Cloud-native environments

Microservices architectures

AWS services

Data infrastructure technologies

Java, Python, Ruby

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

AWS (EKS, EC2, S3, RDS)

Kubernetes

Kafka

Elasticsearch

Job description

Jobgether is hiring for a Senior Technical Leader in the United States, focusing on designing and scaling distributed, data-intensive systems for marketing intelligence platforms. The role involves working at the system and architecture level, collaborating with product and engineering teams, and mentoring engineers. Applicants should have over 8 years experience in distributed systems, strong knowledge of AWS and Kubernetes, and proficiency in programming languages like Java or Python. Benefits include a competitive salary and comprehensive insurance coverage.