Senior DevOps Engineer

Key Skills

Amazon RedShift, Apache Airflow, Apache Hadoop, AWS, Big Data Technology, Design, DevOps, DynamoDB, ETL frameworks, Git, Infrastructure as code, Jenkins, Linux Operating system, NoSQL, Python Programming, Ruby on Rails, Scrum Agile Methodology, SDLC, SPARK Programming, SQL, Tableau

Job Description

What You'll Do:

• Contribute cross-functionally with Scrum teams to develop deployment strategies for new and existing services
• Evaluate and implement technologies that improve efficiency, robustness, performance, and security at scale
• Develop creative solutions that automate system functions, reducing the manual and unplanned effort
• Analyze, design, implement, and validate strategies for streamlined CI/CD workflows
• Design and implement automated dynamic environments to support the needs of delivery teams
• Apply principles of best-practice, self-organization, autonomy, and continuous improvement to self and team

Requirements:

• Must have experience designing, building, and managing solutions built on cloud-based infrastructures; AWS preferred
• Have worked at least one year on teams practicing agile methodology, using Scrum and/or Kanban
• Have excellent customer service and communication skills (verbal and written) to effectively collaborate with a diverse team of people across Business and Engineering Teams
• Be able to demonstrate Systems Administration fundamentals, including mastery of one or more Linux distributions, virtualization, storage, networking, SQL / NoSQL databases, scripting, and ability to troubleshoot high-usage, high-throughput systems.
• Have written quality code to solve complex automation problems in at least one of these languages: Bash, Python, Ruby, Perl, or Go
• Have hands-on development experience utilizing at least one Configuration Management system: Ansible, Chef, Puppet, SaltStack, etc.
• Have architected or developed a programmable infrastructure using IaC tools such as Terraform and CloudFormation
• Understand SDLC and CI/CD models, with the ability to architect the workflow using tools like Git, Jenkins, Spinnaker, etc.
• Be able to gather and interpret metrics from monitoring tools like New Relic, CloudWatch, Elastic Stack, and Ganglia to make informed troubleshooting and performance-tuning decisions.
• Have experience supporting big data, ETL, and analytics platforms, such as Redshift, EMR / Hadoop, Apache Spark, DynamoDB, Apache Airflow, Hitachi Vantara / Pentaho, Tableau, etc.
• Be highly self-motivated and ready to learn new concepts and technologies
• Candidates with a B. S. degree in Computer Science, Information Systems, or a related field preferred
• Hands-on experience designing and delivering containerized microservice architectures, EKS preferred

Spokeo offers a bonus program, equity plans, and 401K matching for qualified roles. Twice a year, we do discretionary, merit-based salary increases. Additional benefits include; 100% medical/dental/vision coverage for all employees and unlimited PTO.

Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. A final offer will depend on several factors, including, but not limited to, marketplace competition, job leveling, the candidate’s experience, skills, etc.

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