Brahma Consulting Group
Cloud Platform Engineering Manager
Brahma Consulting Group, Belmont, California, United States, 94002
Cloud Platform Engineering Manager
We are 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 services. • Drive architectural decisions and roadmap planning for the streaming location platform. • 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. • Collaborate cross-functionally with product and frontend teams to align platform capabilities with user needs. • Review technical designs and code to ensure quality, scalability, and maintainability. • Ensure best practices for code quality, CI/CD, monitoring, and security are followed. • Facilitate Agile processes including sprint planning, standups, and retrospectives. • Ensure platform reliability, scalability, and performance under production workloads. • Participate in postmortems and improve response strategies for production incidents. • Represent the platform team in cross-functional planning and product discussions. • Develop internal documentation to support onboarding, knowledge transfer, and consistent engineering practices. • Mentor engineers, support professional development, and foster a culture of continuous improvement.
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, etc.). • Strong experience with infrastructure-as-code tools such as Terraform. • Understanding of high-volume or time-series data pipelines and distributed system performance considerations. • Familiarity with Agile development methodologies and team planning processes. • Experience supporting production-grade systems in cloud environments. • 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 Flink. • Working knowledge of Node.js frameworks. • Familiarity with AWS data storage systems such as DynamoDB or PostgreSQL. • Experience with DevOps monitoring and alerting tools such as Prometheus and Grafana. • Familiarity with messaging services like SNS and SQS. • Background in IoT or hardware-integrated platforms. • Familiarity with hybrid cloud-to-edge deployment architectures. • Experience conducting architecture reviews or technical due diligence.
NICE TO HAVE ATTRIBUTES/SKILLS • Experience with Apache Flink or similar stream processing frameworks. • Familiarity with Kafka or Kubernetes operations. • Exposure to AWS IoT services and related architectures. • Experience with identity and access management systems, such as Cognito. • Understanding of telco cloud infrastructure. • Experience managing geographically-distributed or remote engineering teams.
We are 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 services. • Drive architectural decisions and roadmap planning for the streaming location platform. • 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. • Collaborate cross-functionally with product and frontend teams to align platform capabilities with user needs. • Review technical designs and code to ensure quality, scalability, and maintainability. • Ensure best practices for code quality, CI/CD, monitoring, and security are followed. • Facilitate Agile processes including sprint planning, standups, and retrospectives. • Ensure platform reliability, scalability, and performance under production workloads. • Participate in postmortems and improve response strategies for production incidents. • Represent the platform team in cross-functional planning and product discussions. • Develop internal documentation to support onboarding, knowledge transfer, and consistent engineering practices. • Mentor engineers, support professional development, and foster a culture of continuous improvement.
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, etc.). • Strong experience with infrastructure-as-code tools such as Terraform. • Understanding of high-volume or time-series data pipelines and distributed system performance considerations. • Familiarity with Agile development methodologies and team planning processes. • Experience supporting production-grade systems in cloud environments. • 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 Flink. • Working knowledge of Node.js frameworks. • Familiarity with AWS data storage systems such as DynamoDB or PostgreSQL. • Experience with DevOps monitoring and alerting tools such as Prometheus and Grafana. • Familiarity with messaging services like SNS and SQS. • Background in IoT or hardware-integrated platforms. • Familiarity with hybrid cloud-to-edge deployment architectures. • Experience conducting architecture reviews or technical due diligence.
NICE TO HAVE ATTRIBUTES/SKILLS • Experience with Apache Flink or similar stream processing frameworks. • Familiarity with Kafka or Kubernetes operations. • Exposure to AWS IoT services and related architectures. • Experience with identity and access management systems, such as Cognito. • Understanding of telco cloud infrastructure. • Experience managing geographically-distributed or remote engineering teams.