Sr Cloud Engineer at Euna Solutions focusing on security and efficiency of cloud infrastructure. Designing, implementing resources, and ensuring compliance in a hybrid work environment.
About the role
- Experienced Software Architect responsible for cloud-native products and solutions at Landis+Gyr. Collaborating within R&D teams to develop innovative technologies for the energy sector.
Responsibilities
- Hands-on experience in cloud native development using Google Cloud Platform native services not limited to GKE, Cloud Pub sub, Cloud Dataflow.
- Collaborate with team members and other R&D teams in design, development, and validation of complete Smart Grid solutions.
- Under general direction, plan and perform engineering duties for part of a major project or for projects of moderate complexity.
- Collaborate with peer Architects, Product Owners and Product Management, Firmware and other Technical Development and Non-technical stakeholders in the Agile Product Development Processes.
- Create and improve software using design patterns, refactoring and modern development best practices.
- Create database scripts for multiple database engines not limited Postgres, BigQuery.
- Participating in Project Planning and Estimation.
- Prepare the architectural documents, artifacts and solution blueprints.
- Acts as technical design authority in areas of specialty on assigned projects.
- Execute architectural design spikes and development of architecturally significant code.
- Mentor development teams around sound design and coding patterns and practices.
Requirements
- Requires a bachelor's degree in computer science, engineering, or related field and 7-10 years of development experience.
- Cloud Architecture and/or development certifications and hands-on experience with GCP/AWS/Azure is required.
- Hands-on experience in cloud native development using Google Cloud Platform native services not limited to GKE, Cloud Pub sub, Cloud Dataflow.
- Experience in Python programming language is required.
- Experience in container, orchestration and service mesh implementations utilizing Docker, Kubernetes and Istio is required.
- Experience in design and implementation of AI/ML pipelines using Vertex AI is desired.
- Experience using UML modeling and diagramming tools like Enterprise Architect, MS Visio, Draw.io.
- Exposure to secure communications, standards and best practices.
- Experience using Messaging using SOA using REST, Cloud Pub sub, RabbitMQ or Apache Kafka.
- Experience in data engineering pipeline development using Apache Airflow or Cloud Composer.
- Familiarity with secrets management and general security best practices for cloud native development.
- Experience in Database development using Postgres, Google BigQuery is required.
- Experience in User Interface Development using Angular or Looker.
- Good written and oral communication/presentation skills.
- Out of the box thinking and creative problem-solving skills is desired.
- Ability to respond quickly to changes in requirements.
- Passion to learn continuously and show applications.
Benefits
- Competitive salary and region-specific benefits.
- Comprehensive development programs including mentorship and training.
- A global culture that values collaboration, innovation, and continuous learning.
Job title
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