Cloud Platform Engineering Manager job at Brahma Consulting Group. San Francisco, CA.

At Brahma Consulting Group, we specialize in connecting top-tier talent with innovative companies across the tech landscape. We're currently partnering with one of our clients to hire a Cloud Platform Engineering Manager to lead a highly skilled team working on a next-gen, Real Time cloud-based location streaming platform.

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 Front End 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 Back End 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.