IOT DevOps Engineer at Data Acquisition Team within Digital Service Factory (DSF)
Hay Level: Hay 60/70
Starting date: December 2022
Job Location: Pune (India)
Vanderlande provides baggage handling systems for 600 airports around the globe, capable of moving over 4 billion pieces of baggage around the world per year. For the parcel market our systems handle 52 million parcels per day. All these systems generate data. Do you see a challenge in building data-driven services for our customers using that data? Do you want to contribute to the fast growing Vanderlande Technology Department on its journey to become more data driven? If so, then join our Digital Service Factory (DSF) team!
Your Position
Within the Data Acquisition team we are developing a secure and efficient data collection system that gathers operational data from various equipment developed with Vanderlande and makes this data available on our Digital Services Platform. This data will be disclosed using standard interfaces, to enable data consumers to build digital services, such as operational awareness, predictive maintenance and process optimization, based no machine learning and AI.
Each equipment can use a different protocol and different interfaces to provide data. As an DevSecOps Engineer you will design and develop standard and scalable IoT modules able to collect this data and make it available in a standard platform that supports streaming and blob storage. You will collaborate with mechanical engineers responsible for the MHS, data engineers that will support you to understand the requirements and define data products and integration interfaces; and, platform engineers to support you on the platform stack. You and the team are also responsible for the CI/CD and monitoring in production. Eventually you could be involved in production support during working hours.
What are your main tasks and responsibilities?
- Develop, test, deploy, document and support the Azure IoT Edge data collection modules.
- You setup and adapt our continuous integration/deployment pipeline(s) so that teams can have fast feedback and thus can effectively work. In this process you strive for an ever-increasing degree of automation and high levels of security
- You help the product deployment team with implementing and commissioning the IT infrastructure.
- You support the software that your team develops for multiple customer sites from development up to production and beyond.
- You ensure that releasing and deploying times are as short as possible.
- You ensure that infrastructure is setup as such that it serves the continuous integration/deployment.
- You are continuously seeking ways to improve our DevSecOps practices so that we can improve our products and services.
Your Profile
- You have a Bachelor or Master’s degree in Computer Science or at least 8+ years of relevant experience with DevOps activities.
- Experience in managing and using Kubernetes clusters (Azure Kubernetes Service) is a plus.
- Skilled at working with Linux and shell scripting.
- You are comfortable using Java and Spring Boot. Python is a plus
- Experience with developing technologies routinely found in IoT platforms (i.e. MQTT, TCP/IP, AMQP, etc.).
- Experience is streaming and/or batch solutions (e.g. Kafka).
- You have strong experience using container technologies (e.g. Docker).
- You have strong experience designing and implementing Continuous Integration and Deployment pipelines (experience in Bamboo is a plus).
- Experience with GitOps technologies (ArgoCD and/or Flux) is a huge plus.
- You have experience with cloud technologies, including Infrastructure as Code (Terraform); ideally using Azure services.
- Ability to inspire and coach others with regards to the DevOps way of work and culture. This includes the shift left of security, monitoring & alerting and closing the feedback loop with your customers.
- Background of working within agile team environments, especially using Scrum and Kanban frameworks.
- Experience with automated testing on different levels is a plus.
- Background of working within agile team environments, especially using Scrum and Kanban frameworks.