Technology

Senior Software Engineer

LetitBeX AI Tech Solutions LLCUnited States🇺🇸United StatesPosted Sep 30, 2026

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

United States

Posted

19 hours ago

ShellAWSAirflowApacheBashHadoopHivePythonStakeholder ManagementTerraform

<>Key Responsibilities

Design & Development: Build scalable, maintainable software modules and data-processing solutions for healthcare analytics applications in accordance with technical design and coding standards.
Cloud Migration Strategy: Analyze existing Cloudera Hadoop architecture, workflows, and pipelines (HDFS, Hive, Spark, Oozie, Python) and execute target migrations to cloud-native AWS environments.
Architecture & Tooling: Design AWS architectures utilizing services like Amazon EMR, AWS Glue, Apache Airflow, and AWS Lambda; select appropriate cloud tools for ingestion, processing, and analytics.
Implementation & Operations: Oversee data transfer, application re-platforming, validation, and testing; create operational runbooks, technical migration plans, and documentation.
Scripting & Automation: Write, maintain, and troubleshoot shell scripts (Bash) for automation, deployment, and operational support.
Stakeholder Collaboration: Manage communications and alignment with cross-functional stakeholders including Infrastructure, Content, QA, Product, and DevOps.
Quality & Security: Ensure overall solutions meet performance, scalability, data security, compliance, and governance benchmarks.
Mentorship & Standards: Conduct code/solution reviews and mentor junior and peer engineers in software engineering methods and AWS big data best practices.

<>Required Qualifications

Experience: 10+ years of software/data engineering experience applying enterprise design patterns to Big Data platforms in AWS.
Hadoop Ecosystem: Deep hands-on expertise with the Cloudera Hadoop stack (HDFS, Hive, Spark, Oozie, Python).
AWS Big Data: Demonstrated experience migrating legacy big data architectures to AWS cloud services (Amazon EMR, AWS Glue, Apache Airflow, AWS Lambda).
Platform Engineering: 5+ years of experience with build and deployment tools such as Bitbucket, Gradle, Octopus Deploy, and Artifactory.
Infrastructure as Code: Experience with cloud automation tools like Terraform.
Scripting & Formats: Proficiency in Bash/Shell scripting and working knowledge of XML and JSON formats.
Soft Skills: Excellent stakeholder management skills, clear communication, ability to manage migration scope, and proven mentoring capabilities.
Education: Bachelor’s Degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field.

<>Preferred Qualifications

Healthcare Domain: Knowledge of healthcare analytics, medical claims data, and relationships between providers and members.
Certifications: AWS Certified Solutions Architect or AWS Certified Big Data – Specialty.