Job Details

Cloud Platform Engineering Manager

Full Time opportunity in Belmont, CA (100% remote considered)

Seeking a Cloud Platform Engineering Manager to lead a small but highly capable team building our cloud-based streaming location platform. You will oversee the architecture, development, and operations of a system that ingests, processes, and stores high-volume location data in real time. This is a highly technical leadership role for an experienced engineer-turned-manager with a strong background in distributed systems and cloud infrastructure.

JOB RESPONSIBILITIES

Lead and manage a team of engineers responsible for core cloud platform
Drive architectural decisions and roadmap planning for streaming location
Guide the development and optimization of the data ingestion pipeline from range stream to location calculation and storage.
Oversee cloud infrastructure deployment and management using Terraform and other infrastructure-as-code tools.
Review technical designs and code to ensure quality, scalability, and
Ensure best practices for code quality, CI/CD, monitoring, and security are
Facilitate Agile processes including sprint planning, standups, and
Ensure platform reliability, scalability, and performance under production
Participate in postmortems and improve response strategies for production
Represent the platform team in cross-functional planning and product
Develop internal documentation to support onboarding, knowledge transfer, and consistent engineering practices.
Mentor engineers, support professional development, and foster a culture of continuous

MUST HAVE ATTRIBUTES/SKILLS

Proven experience managing or leading engineering teams, ideally in platform or infrastructure roles.
Former hands-on developer with strong knowledge of backend systems, data processing, and cloud architecture.
Working knowledge of Python codebases, with the ability to review and evaluate production code.
Ability to evaluate technical solutions and guide architectural decisions for scalable distributed systems.
Deep cloud platform expertise, especially with AWS (ECS, EKS, Lambda, Kinesis, IAM, ).
Strong experience with infrastructure-as-code tools such as

Understanding of high-volume or time-series data pipelines and distributed system performance considerations.
Familiarity with Agile development methodologies and team planning
Experience supporting production-grade systems in cloud
Excellent written and verbal communication skills, especially in cross-functional and remote team settings.

SHOULD HAVE ATTRIBUTES/SKILLS

Experience with streaming data technologies such as Kinesis or
Working knowledge of js frameworks.
Familiarity with AWS data storage systems such as DynamoDB or
Experience with DevOps monitoring and alerting tools such as Prometheus and
Familiarity with messaging services like SNS and
Background in IoT or hardware-integrated
Familiarity with hybrid cloud-to-edge deployment
Experience conducting architecture reviews or technical due

NICE TO HAVE ATTRIBUTES/SKILLS

Experience with Apache Flink or similar stream processing
Familiarity with Kafka or Kubernetes
Exposure to AWS IoT services and related
Experience with identity and access management systems, such as
Understanding of telco cloud
Experience managing geographically-distributed or remote engineering

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.