1187: Cloud Engineer

Cloud Engineer will work with teams across the firm to empower?engineers.?The position will?help evolve team AWS environments,?strengthen a?cloud-based development cycle, facilitate data flow between an on-premise?network?and?the?cloud,?work to?standardize firm-wide utilization of?cloud?resources, and help?with deployment via Terraform or similar tools. Core Infrastructure Services team are dedicated to providing reliable, flexible services which are utilized by the entire firm for many business-critical activities. A successful candidate will be able?establish and build an infrastructure-as-code repository and?be quickly responsive to teammates?request and?work closely with?colleagues?in information security?and infrastructure.?

Responsibilities:

Integrate services and access routes in a?data intensive hybrid?cloud?environment.?

Create, improve, and?fully automate?CI/CD?development cycles.

Gather business and technical requirements and specify solutions for projects that consolidate data management?under a firm-wide structure.?

Manage?multiple AWS environments spanning teams, support development, and work with counterparts across the firm to unify?cloud?engineering efforts.

Stay abreast of new developments in the areas of?cloud?technology, services, and networking.?

Work with vendors and vendor solutions?to evaluate products, produce recommendations for the firm, and educate internal clients.

Provide recommendations and create demonstration examples of hybrid?cloudtechnology solutions for data?engineering.?

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Requirements:?

5+ years of experience working?with?Amazon Web Services, with exposure to other?cloud?vendors such as Google Cloud Platform and Microsoft Azure.?

A strong command of infrastructure-as-code tools such as Terraform, CloudFormation, and related technologies.Bachelors?degree required; post-graduate education in data science, data analytics, and/or data engineering preferred.?

Experience with automation in the cloud, in addition to services used?inloosely coupled serverless architectures, such as Lambda, SQS, API Gateway, and DynamoDB.

Experience with establishing highly-available and fault-tolerant big data environments in the cloud, leveraging both NoSQL and RDMS technologies such as Hadoop, Spark, PostgreSQL, potentially orchestrated with cloud-based management tools such as EMR, Athena, and RDS.

Proficient with containerization and container orchestration?tools such as Kubernetes within a Linux environment.

Proficient with at least one back-end programming language such as Python, Java, Ruby, or NodeJS.

Able to implement systems with a security-first mindset, adhering to firm-wide security policies, and best practice implementations; proficiency with cloud-based security tools such as IAM and KMS is required.

Deep understanding of AWSs suite of tools and services for data management and pipelining, including VPC, EMR, S3, RDS, Kinesis, Glue, Redshift, Data Pipeline, etc.

Proven ability to troubleshoot and resolve production problems while making sensible decisions in times of stress.

Excellent verbal/written communication skills and documentation/knowledge management skills.

Working knowledge of cloud-based data analytics solutions such as Databricks, and Snowflake.

Working knowledge of networking in hybrid cloud environments.

Must work well in a fast-paced, dynamic work?environment and have strong work ethic and initiative.