Cloud Engineering Tech Lead



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Cloud Engineering Tech Lead

Brooksource is looking for a Cloud Engineering Technical Lead to join their financial services client in Charlotte, NC. This Tech Lead will support and perform lead responsibilities for several platform engineering teams, as they support the enterprise data and analytics group’s digital transformation from on-prem to the cloud. The ideal candidate should bring a refined technical skillset to the table, along with an interest in helping lead a team of 3-4 engineers.



  • Understand and peer review Cloud centric pipelines through Infrastructure as Code components
  • Implement open source, vendor and cloud native pipelines via GitOps model
  • Support Data Science and Analytic teams using Python, R and Scala code
  • Integrate Data Governance tools using API’s and DevOps
  • Develop auto scaling and self-healing / self service offerings in the Analytics space at AWS
  • Collaborate and partner with counterparts from Security, Enterprise Architecture, and CIO application teams to enable developer agility while ensuring appropriate controls are in place.
  • Help to facilitate a collaborative development approach which encourages and accepts contributions and emphasizes transparency.
  • Manage teams to provide tech thought leadership in all areas above.



  • 5+ years of technical leadership skills ( tech lead , architect or manager ) in DevSecOps / Cloud environment
  • 3 + years working in Agile , and the ability to provide metrics for senior leadership on work that the team is doing and capacity available to take on new work within Sprint committments.
  • 5+ years of Cloud experience and the ability to articulate the benefits of the cloud using concrete examples of work that has been done in the past.
  • 3+ years background in Hadoop administration, DevOps, or developer experience. The emphasis would be on Spark, Hive, NiFi , Impala and Kafka.
  • 3+ year experience with AWS Big Data tech stack including EMR, Lambda, Sagemaker, Glue , Kinesis , SMS and other related technologies.
  • Demonstrated experience supporting Data Science teams with experience using technologies such as Jupyter Notebooks, Anaconda, DataRobot and other platforms that are used to run ML models.
  • Proficent in working with containers ( Kubernetes, Docker, etc) , and the ability to move workloads in these type of deployments.
  • Demonstrated experience in optimizing Cloud centric workloads using monitoring solutions such as ELK, Prometheus, Grafana, Splunk and other APM tools.
  • Familiarity with running Big Data pipelines in an automated manner using Jenkins, Terraform and any other similar Cloud based tool.

Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.


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