Software Engineer III, ML

RxBenefits is hiring! We are adding a Senior Software Engineer (Software Engineer III) to the growing application development team at our Birmingham, AL headquarters. As a senior engineer, you will be responsible for designing and building the data pipelines, streaming infrastructure, and machine learning systems that power our rapidly growing business. You will also be a thought leader across the technology organization that champions modern data engineering practices. This is an exciting opportunity for a forward-thinking professional who can conceptualize, deliver, and support the data-driven technology that our employees and partners need to succeed.

Essential Job Responsibilities Include:

• Design and build real-time data pipelines and streaming infrastructure using Apache Flink and related technologies

• Develop and maintain stateful processing layers for fast, reliable data enrichment

• Design and build backend services in Golang, Java, or Python that process data reliably at scale

• Build, train, and deploy traditional ML models to surface insights and power data-driven features, owning the workflow from feature engineering through production monitoring

• Build scalable services that integrate ML model inference, feature stores, and real-time scoring into production workflows

• Build tooling and infrastructure for data quality, validation, and pipeline observability

• Implement monitoring and observability for data pipelines and ML models, including data quality metrics and drift detection

• Ensure solutions meet enterprise standards for reliability, security, compliance, and observability

• Partner with product and data teams to translate business problems into ML and data engineering solutions

• Participate in architectural design and recommend technical solutions

• Bachelor’s degree in computer science, mathematics, engineering or another related field

• 6-8 years of professional experience in software development

• Strong proficiency in one or more of the following backend languages: Golang, Java, or Python

• Solid understanding of RESTful API design, microservices, and distributed systems

• Strong foundation in data structures, algorithms, concurrency, and performance optimization

• Familiarity with relational and NoSQL databases and their performance characteristics

• Hands-on experience (1-3 years) building and evaluating traditional ML models (XGBoost, Random Forests, Logistic Regression) in production environments

• Familiarity with the end-to-end ML workflow including feature engineering, model selection, training, evaluation, and production monitoring

• Experience handling sensitive data (PII/PHI) in data pipelines, including masking, redaction, or de-identification

• Experience building and deploying services on AWS

• Experience with Agile development methodologies

• Strong communication and presentation skills

• Effective working independently or collaboratively within a team

• Ability to think strategically and execute with urgency

Preferred Skills/Experience:

• Experience building high-throughput data pipelines at scale using Apache Flink, Kafka Streams, or similar frameworks

• Experience evaluating ML model performance in production, including data drift and model degradation

• Proficiency in AWS services: Sagemaker, Bedrock, MSK, Glue, EMR, DynamoDB, EC2, Lambda, S3, and IAM

• RocksDB or similar embedded storage engines

• Caching and in-memory database technologies

• Asynchronous/multi-threaded programming patterns

• Experience working in regulated industries (healthcare, finance, insurance)

• Knowledge of governance frameworks around data privacy (HIPAA, SOC2, GDPR, etc.)

• Frontend development with NextJS or React

Based on relevant market data and other factors, the anticipated hiring range for this role is $140 ,000 to $160 ,000 annually. Final compensation rates will be determined based on various factors, including but not limited to experience, skills, knowledge, and internal equity considerations. This role is also short-term incentive eligible. Incentive amounts will vary by individual and business goals. We are committed to fair and equitable compensation practices. The final salary offered to the selected candidate may vary from the posted range due to individual qualifications. Our goal is to ensure that all teammates are compensated fairly and competitively based on their contributions to our organization. RxBenefits is also committed to providing best in class benefits to our teammates. We offer a robust total rewards package that includes:

• Remote first work environment

• Choice of a HDHP or PPO Medical plan, we pay 100% of the premium for the HDHP for you and your eligible family members

• Dental, Vision, Short- and Long-Term Disability, and Group Life Insurance that we also pay 100% of premiums (for your family too on Dental and Vision)

• Additional buy-up options for Short- and Long-Term Disability and Life Insurance

• 401(k) with an employer match up to 3.5% available after 60 days

• Community Service Day to give back and support what you love in your community

• 10 company holidays including MLK Day, Juneteenth, and the day after Thanksgiving plus a floating holiday to use as you like

• Reimbursements for high-speed internet, we’ll send you a computer and monitors to help you do your best work

• Tuition Reimbursement for accredited degree programs