SRE Engineer

About Mobilisights:

Mobilisights is a Data-as-a-Service (DaaS) business unit of Stellantis, unlocking real-time insights from millions of connected vehicles worldwide. We combine the scale of a global automotive leader with the agility of a startup-fully remote, fast-moving, and impact-driven.

The Role:

We are looking for a self-driven Site Reliability Engineer (SRE) based in North America to help monitor, operate, and improve our cloud and data platforms. This role requires a high degree of independence and ownership, as you will often be the primary SRE during NA coverage hours, collaborating asynchronously with teams in Europe and India.

Key Responsibilities:

* Monitor, operate, and support cloud and data platforms during NA coverage hours

* Participate in a 24×7 on-call SRE rotation using a follow-the-sun model

* Troubleshoot and resolve production incidents independently; lead incident response when required

* Monitor availability, latency, and system health using Grafana and Prometheus

* Define and track SLIs and SLOs to improve service reliability

* Drive blameless postmortems and ensure permanent incident remediation

* Build and maintain infrastructure using Terraform and automation scripts

* Act as a hands-on contributor to AWS infrastructure (VPC, EC2, S3, IAM, RDS, ELB, Route
53)

* Continuously improve reliability, scalability, security, and cost efficiency

Basic Qualifications:

* Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field

* A minimum of 3 years of experience in SRE, Dev Ops, or Cloud Operations

* Hands-on experience managing AWS-based infrastructure

* Strong experience with Terraform and infrastructure-as-code

* Practical experience with Grafana and Prometheus

* Automation mindset using Python, Bash, Power Shell, or AWS CLI

* Experience participating in on-call rotations and production support

* Working knowledge of CI/CD pipelines (Git Hub Actions, Git Lab, Jenkins, etc.)

* Understanding of cloud security best practices and incident response

* Highly self-motivated and proactive; comfortable working independently

* Strong sense of ownership and accountability

* Clear and effective remote communication skills

* Calm, structured approach to incident handling

* Able to collaborate effectively across global teams and time zones

Preferred Qualifications:

* Experience supporting data platforms or Data-as-a-Service (DaaS) products

* Exposure to streaming and event-driven systems (Kafka, Kinesis, SQS, etc.)

* Experience working with high-volume, real-time telemetry or IoT data

* Familiarity with data pipelines (batch and streaming) and data reliability concepts

* Experience with big data technologies (Spark, Flink, Hadoop, Iceberg, Delta Lake, Databricks, etc.)

* Basic understanding of data quality, data latency, and data availability SLIs/SLOs

* Experience operating Kubernetes or containerized workloads in cloud environments

* Understanding of cost optimization for large-scale data ingestion and storage in AWS

* Prior experience in automotive, mobility, IoT, or connected devices ecosystems