Overview
On Site
Full Time
Skills
Amazon Web Services
Application development
Data engineering
data lake
Data warehouse
Data security
Process improvement
Data management
Extract
transform
load
Amazon S3
Amazon EC2
Lifecycle management
Performance testing
Capacity management
Software development
Machine Learning (ML)
Cloud computing
Software engineering
C#
Life insurance
Financial services
Leadership
Data
Design
Database
Python
EBS
Electronic Health Record (EHR)
Administration
Policies
Encryption
KMS
Software development methodology
Agile
Software deployment
Microsoft Azure
Continuous integration
Continuous delivery
Git
Specification
Scripting
SQL
Annuities
Communication
Job Details
Job Description:
Lead ML Ops Engineer (Hybrid)
Primary Duties & Responsibilities
Job Summary
Experience what being part of the Globe Life family feels like. Be inspired by your leaders, encouraged, and cheered on by your teammates to excel and be supported in your career while working with us. We offer a competitive salary with a great benefits package, including 401(K) match, medical, dental, and vision health plans, short - term and long-term disability, paid time off, tuition reimbursement and other career development opportunities.
The Lead ML (Machine Language) Ops Engineer will support our Cloud Applications, and drive cloud best practices for application development. This role will support a wide range of applications and solutions supporting multiple teams in the organization. In this role, an employee will work with data engineering, data analysts, business stakeholders and data scientist team(s) to help the organization build out secure, scalable, fault-tolerant and high performing cloud-based application services.
PRIMARY DUTIES & RESPONSIBILITIES
Required Skills
REQUIRED SKILLS
Applicable to all employees of Globe Life & Accident and its subsidiaries:
Required Knowledge & Experience
REQUIRED EXPERIENCE
Lead ML Ops Engineer (Hybrid)
Primary Duties & Responsibilities
Job Summary
Experience what being part of the Globe Life family feels like. Be inspired by your leaders, encouraged, and cheered on by your teammates to excel and be supported in your career while working with us. We offer a competitive salary with a great benefits package, including 401(K) match, medical, dental, and vision health plans, short - term and long-term disability, paid time off, tuition reimbursement and other career development opportunities.
The Lead ML (Machine Language) Ops Engineer will support our Cloud Applications, and drive cloud best practices for application development. This role will support a wide range of applications and solutions supporting multiple teams in the organization. In this role, an employee will work with data engineering, data analysts, business stakeholders and data scientist team(s) to help the organization build out secure, scalable, fault-tolerant and high performing cloud-based application services.
PRIMARY DUTIES & RESPONSIBILITIES
- Design, implement, and support various applications and services on our Cloud Platform.
- Provide technological guidance on Data Lake and Enterprise Data Warehouse design, development, implementation and monitoring.
- Understand, Design and Implement Data Security around cloud infrastructures.
- Provide support and guidance to Data Services and other application development teams on various AWS Database Products.
- Work with leadership on process improvement and strategic initiatives on Cloud Platform.
Required Skills
REQUIRED SKILLS
- Extensive hands-on experience including design and implementation across broad range of database services on Amazon Web Services (AWS).
- Solid understanding of various Data Management and Data Pipeline tools available in AWS.
- Strong programming knowledge and experience with Python.
- Working knowledge with primary AWS Services like S3, Lambda, Batch, Glue, Athena, EC2, EBS, CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS etc.
- Experience with Airflow, and with the Amazon Managed Airflow administration and configurations.
- Experience in creating and deploying CloudFormation Templates (CFTs)
- Experience with Lifecycle Management of S3 Buckets.
- Clear Understanding of Cloud Databases Security involving AWS IAM Users and access, IAM Roles and Policies, Federated Users and permissions.
- Good Understanding of AWS Encryption methodologies and AWS KMS Services.
- Experience with database performance testing and capacity planning.
- Working knowledge and experience with software development life cycle (SDLC) and agile/iterative methodologies.
- Knowledge of AWS Machine Learning Offerings will be a plus
- Application development and deployment experience with Azure and AWS, CI/CD pipelines, Git, and related tech.
Applicable to all employees of Globe Life & Accident and its subsidiaries:
- Reliable and predictable attendance of your assigned shift
- Ability to work full time and/or part time based on the position specifications.
Required Knowledge & Experience
REQUIRED EXPERIENCE
- Bachelor's degree in Computer Science/Engineering, Information Systems or equivalent work experience in a technical position
- 5+ years of experience in software development and cloud technologies.
- 3+ years of experience in Software Engineering primarily using Python, and AWS architectures
- Proven experience in building cloud applications and deploying with understanding of CI/CD processes
- Strong coding and scripting experience with Python, C#, SQL, or similar languages.
- Experience of implementing Airflow in AWS (MWAA) will be a plus
- Prior domain experience of Life Insurance, Annuity or Financial Services is a plus
- AWS Certifications are considered a strong plus
- Excellent verbal and written communication skills.
- Ability to work independently and as part of team.