Cloud Platform Engineering Manager

Job DescriptionJob Description

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 and access management systems, such as Cognito.

Understanding of telco cloud infrastructure.

Experience managing geographically-distributed or remote engineering teams.