Sr DevOps Engineer
1 week ago
Mobilisights: enabling a smarter world
Exponential growth in adoption and deployment of connected cars and devices is bringing previously unavailable datasets to market – at scale and in real-time.
Our vision is a ‘smarter’ world where innovative applications and services leverage connected vehicle datasets, and the insights they provide, to dramatically transform and continually improve everyday lives for consumers and businesses. Stellantis, one of the largest global car makers and the parent company of fourteen of the most iconic industry brands including Jeep, Fiat, Maserati, Peugeot, and more, has created Mobilisights, a Data-as-a-Service Business Unit, which will harness sensor and other data from millions of connected vehicles and other devices to support data products and services for a growing array of customers
#Stellantis is becoming a #mobility #tech company with the size of a powerhouse and the soul of a startup. Mobilisights represents this vision and future. We are part of Stellantis - a global company with 300 000 employees and will fully leverage the resources and the benefits that provides, but we are built like a startup and operate like one, too.
A truly global company, Mobilisights have teams all over the world and we work entirely remotely.
Our World
Great mobility solutions start with great people This is an exciting time to join us
The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate, and our people live and work.
At Mobilisights, we assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation, and disability.
Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.
EOE/Disability/Veteran
Position Responsibilities:
We are looking for a skilled engineer to design and build self-service tools that help software development teams push code to production, at speed. You will develop CICD pipeline templates for data engineering, software engineering and data science to support seamless much desired vision of one click build and deployments across environments. You will manage the setup, configuration, audit of all user accounts and security policies ensuring all compliance standards are met. You will work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. You will drive your own projects, from design through planning to execution. Also work with teams across Mobilisights on cross-team initiatives. Analyzing and improving availability, efficiency, capacity, scalability, security and performance of our services. You will support troubleshooting and resolving problems with production systems as part of our on-call rotation.
Qualifications
DevOps Qualifications:
Bachelor’s degree in Computer Engineering or equivalent
7+ years relevant work experience.
Solid knowledge of distributed version control systems (DVCS) such as Gitlab, Github
Experience in managing complex build systems within Continuous Integration setup using Gitlab or similar CICD tools.
Solid hands-on experience on AWS compute services (EC2, EKS, Lambda), Networking (VPC, NAT, Transit GW, VPC peering, Route53) AWS storage services (S3, RDS, DocumentDB), IAM, API GW, EMR, Athena Data migration services, AWS Security (IAM,Control Tower; Rail Guard)
AWS certified (Solution Architect as minimum)
Solid experience in K8s clusters management and configuration
Solid knowledge of IaC and Terraform
Enterprise experience on big data streaming technologies like Kinesis, MSK, Kafka
Experience in programming languages like Python, Shell scripting, NodeJS
Knowledge of Jira/ Confluence administration and development
Excellent customer service, communication, documentation, work prioritization and analytical skills.
Ability and willingness to go above and beyond one’s comfort zone when it comes to about other services to help integrate and improve them.
Passion to invent and create new solutions, challenge the status quo and drive positive change.
Following MLOps skills is a plus:
Deploy, monitor, and maintain machine learning models in production environments.
Develop and implement CI/CD pipelines specifically tailored for machine learning workflows, including model training, validation, and deployment.
Use tools like MLflow, Kubeflow, or similar for managing ML experiments, models, and workflows.
Integrate machine learning model serving frameworks (e.g., TensorFlow Serving, TorchServe) with production systems.
Optimize and scale machine learning infrastructure, including GPU/TPU management and cloud-based ML services.
Monitor and maintain model performance, including retraining and updating models based on performance metrics and new data.
Collaborate with data scientists to understand model requirements and ensure seamless integration with production systems.
Please share your profiles to with below details:
Total yrs. of exp:
CCTC:
ECTC:
NP:
Disclaimer - At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality,
religion, sexual orientation and disability. Diverse teams will allow us to
better meet the evolving needs of our customers and care for our future.
By submitting your application, you are accepting our privacy notice:
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