Middle DevOps Engineer (AWS)
Hungary, Poland
Exadel
Advance your business through technology and pave the way to becoming a digital leader with Exadel, an enterprise software development and consulting company.We are seeking a Middle DevOps Engineer who is passionate about building tools and services as a force multiplier. If you are passionate about innovative tooling, engineering an excellent user experience, and increasing large-scale efficiency, let's meet and discuss our perspectives.
Work at Exadel - Who We Are
Since 1998, Exadel has been engineering its products and custom software for clients of all sizes. Headquartered in Walnut Creek, California, Exadel has 2,000+ employees in development centers across America, Europe, and Asia. Our people drive Exadel’s success and are at the core of our values.
About Our Customer
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
Requirements
- 3+ years of background as a technical specialist
- Python coding experience
- Proficiency in working with AWS in a production environment
- Competency in AWS services such as IAM, AWS Lambda/API Gateway, EC2, ECS
- Expertise in automating cloud-native technologies, deploying applications, and provisioning infrastructure
- Grounding in Infrastructure as Code, using CloudFormation, Terraform, or other tools
- Skills in developing cloud-native CI/CD workflows and tools, such as GitLab, Jenkins, Bamboo, TeamCity, Code Deploy (AWS)
- Understanding of microservices and distributed application architecture, such as containers, serverless technology, and/or Kubernetes
- Overlap with US hours (CST) 3-4 hours/till 7 pm CET
- Communication skills sufficient for success in a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions
English level
Upper-Intermediate+
Nice to Have
- Bachelor's Degree or 3+ years of professional experience
- Knowledge of IP networking, VPNs, DNS, load balancing, and firewall
- Know-how in monitoring and log aggregating frameworks such as Datadog, Kafka, Logstash, Splunk, Elasticsearch, and Kibana
- Familiarity with AWS services such as Amazon SageMaker, AWS Glue, EMR, MSK
- Awareness of implementing and designing cloud-native security concepts, DevSecOps, or MLOps
- Knowledge of iOS and/or Android app operations and deployment
- Familiarity with the full software development lifecycle and delivery using Agile practices
- Confidence in Chef, Puppet, Salt, or Ansible in production environments
Responsibilities
- Design, build, and administer development operations processes and tools, including version control, security scanning services, CI/CD pipelines, release engineering, and production deployments of core platform components
- Troubleshoot, diagnose, and fix production software issues; develop monitoring solutions; perform software maintenance and configuration; implement the fixes for internally developed code; query SQ /NoSQL data stores to identify and remediate production issues related to infrastructure (network, storage, compute, and databases) and application operations
- Collaboration in the design and build of internal tools to support development and operations, including an internal dashboard, performance testing automation, infrastructure, and cost optimization in the cloud
- Work alongside Software Engineers supporting operations, ensuring the team delivers the best experiences for our customers
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Ansible APIs Architecture AWS AWS Glue CI/CD CloudFormation DevOps EC2 ECS Elasticsearch Engineering GitLab Jenkins Kafka Kibana Kubernetes Lambda Logstash Microservices MLOps NoSQL Pipelines Puppet Python SageMaker Security Splunk Terraform Testing
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