Sr. SW Cloud/Infra Engineer - Platform Engineering

Humana Inc.
Anchorage, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Anchorage, United States of America

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
JIRA
User Authentication
Azure
Bash
Big Data
Cloud Computing
Cloud Storage
Computer Networks
ETL
Data Security
Data Warehousing
EHealth
Github
Hive
Python
Key Management
PostgreSQL
Maven
Enterprise Messaging Systems
Microsoft SQL Server
MongoDB
MySQL
OAuth
Oracle Applications
Powershell
Power BI
Cloud Services
Ansible
Azure
Security Assertion Markup Language (SAML)
Single Sign-On
Software Systems
SQL Databases
Systems Integration
Tableau
Enterprise Data Management
Scripting (Bash/Python/Go/Ruby)
Spark
Kubernetes
Information Technology
Cassandra
Data Analytics
Bitbucket
Puppet
Terraform
Azure
Azure
Docker
Jenkins
Redshift

Job description

Humana Digital Health and Analytics (DH&A) drives innovation to create data-driven platforms, products and services for use across the entire organization. The Enterprise Data Platform Analytics (EDPA) team in DH&A is a key part responsible for enabling and empowering data scientists and business analysts with innovative software solutions and technologies on Azure.

The Senior Cloud Infrastructure Engineer in EDPA will work with the architects, Humana IT systems administrators, and fellow engineers to size, secure, provision, manage, and scale Azure Cloud Platform infrastructure through automation. Own and maintain production and non-production environments to be always in compliance with Humana security and compliance policies. Lead, and collaborate with Cloud Infrastructure architects to innovate on process, infrastructure, and cost improvements.

Key Responsibilities

Own, design, develop, deploy, and manage Azure Cloud Infrastructure components that includes Azure Synapse Analytics, Azure Data Lake Storage (ADLS), Spark clusters, SQL pools, messaging platforms, and system-to-system integrations

Infrastructure as Code and CD/CI Automation: Own design, development, production and maintenance of Azure Cloud infrastructure using Infrastructure as Code principles with Terraform, Azure Resource Manager, Docker, Kubernetes

Monitor system uptime, and system-to-system integration pipelines and respond to service incidents and disruptions

Stay on top of SLA/SLO, RPO/RTO

Always follow Humana security and compliance policies. Participate in internal and external security audits and maintain records and documentation for compliance

Own software code repositories general administration and maintenance

Monitor and maintain total cost of ownership within the approved budget

Directly work with non-technical business users to troubleshoot and resolve access, performance, and availability issues

Requirements

Bachelor's Degree Computer Science or related field

5 years of Azure or AWS or GCP cloud services platforms administration

2 years of CD/CI automation leveraging Infrastructure as Code principles using any combination of tools such as Terraform, AWS Cloud Formation, Azure Resource Manager, Azure DevOps, Docker, Kubernetes, Puppet, Chef, or Ansible

2 years of first level production support with any one of large data stores such as AWS S3, Azure Blob Storage, SQL Server, Oracle, MySQL, PostgreSQL, Cassandra, RedShift, or MongoDB

PostgreSQL, Cassandra, RedShift, or MongoDB

Security -- Hands-on experience with user authentication and authorization with SSO, SAML, and OAuth setup. In depth knowledge of data encryption and encryption key management protocols using AWS KMS or Azure Key Vault.

Enterprise Security Compliance - In depth understanding of enterprise network and infrastructure security, data security, governance, and privacy requirements for HIPAA, and SOC compliance

Scripting with Shell, Power Shell, and Python

Desirable Experience Skills and Qualification

Work experience with Python

BitBucket, GitHub, Maven, Jenkins, JIRA

Knowledge of big data processing and big data querying using Apache SPARK, SPARK SQL

Knowledge of various ETL techniques and data warehouse data modelling

Knowledge of business intelligence tools such as Power BI, Tableau, Jasper

Experience health care business and industry

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