Humana Lead Software Engineer-Cloud-based Data Platforms in Atlanta, Georgia
The Lead Software Engineer codes software applications based on business requirements. The Lead Software Engineer works on problems of diverse scope and complexity ranging from moderate to substantial.
Role: Lead Software Engineer - Cloud-based Data Platforms
Assignment: Humana - Digital Health & Analytics
Location: Campbell, CA, San Diego, CA, Boston, MA, Louisville, KY -
Remote options also exist
Summary of Duties & Job Description
As a Lead Software Engineer you will be working with leadership to conceptualize our next generation product, leading a development team to design and build it, contributing to the technical architecture of our enterprise data platform (including improvements to our cloud infrastructure and DevOps), leading the analysis and resolution of production issues, and helping continually improve our processes.
On any given day you may:
Lead by example doing hands-on platform development
Mentor team members to level up our overall skill set
Review pull requests and provide constructive feedback
Lead investigation of system issues to identify root causes and work out short term / long term solutions
Design and implement best practices in our software development processes
Propose new ideas, frameworks, technologies
What you bring to the table
You are a lead engineer with 7 or more years of experience with Cloud-based big data platform development. You are capable of owning significant design and development responsibility. You can work with autonomy to get things done while collaborating with others on architectural and process decisions. You are comfortable with giving and receiving feedback from your teammates and others in the organization. You can think on your feet and conceptualize what needs to be done from incomplete and evolving requirements. You hit deadlines and communicate effectively.
The successful candidate will also have experience with:
Azure Cloud Services
Designing solutions architecture
Building big data platform
Building RESTful APIs
Designing data models
Working with Infrastructure and security as code
What It's Like to Work Here
We take immense pride in cultivating a strong, person-first culture always looking for ways to be intentionally uncommon. Our team is made up of talented, creative, kind, fun, and energetic folks wired for continuous improvement.
To be great at Humana, we find our team members have these things in common:
Gain energy from working in a fast-paced, creative environment
Decision making that employs a blend of data-driven insights and intuition
Ability to multitask and handle multiple projects concurrently
Resilience and positivity, able to address setbacks and bounce back quickly
Resourcefulness, discovering creative ways to get things done
Joy in making an immediate and positive impact
Diverse interests that are welcomed in and extend beyond our organization
Skills and Qualifications
Bachelor's Degree or above in Computer Science or related field
7+ years of Cloud-based big data platform design and development experience
Proficient with any of the mainstream programming languages such as Java, Python, Scala or Go
Proficient in modern software designs, such as microservices and event driven architectures.
Experience with building enterprise level data lakes and data warehouses by leveraging any of the major cloud providers (GCP, AWS or Azure)
Experience with architecting, implementing and maintaining software in the area of data intensive applications.
Experience with designing and implementing integration patterns of data from multiple data sources.
Experience with building batch and streaming systems, using solutions such as Hadoop, Spark, Kafka, Spark-Streaming or Flink
Experience of various persistence technologies (RDBMS or any NoSQL solutions such as Mongo DB, Cassandra, Neo4j), deep understanding and hands on experience with at least one of these is highly desirable.
Experience with security in industry standards like TLS, OAuth2.
Knowledge of modern CICD automation eco-systems: Azure DevOps and pipelines, Terraform, Azure Resource Manager, Kubernetes, GitHub, and configuration management tools such as Puppet, Chef, or Ansible
Great communication and decision-making skills in dynamic team environments.
Scheduled Weekly Hours
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