Software Engineer II - Content

Description

• Design and implement GCP backend and serverless services to boost operational efficiency and data accuracy.
• Build and integrate RESTful APIs and microservices with authentication, rate limiting, pagination, and versioning.
• Develop event-driven and batch workflows using Pub/Sub, Cloud Tasks, Cloud Workflows, and ad‑hoc scripting for data processing and migrations.
• Leverage AI/ML, including LLM‑enabled services and lightweight NLP pipelines, to enhance decision‑making.
• Own the full delivery lifecycle from requirements to iterative optimization.
• Instrument, monitor, and troubleshoot services with Cloud Logging, Monitoring, Error Reporting, and tracing.
• Champion security and governance using IAM, Secret Manager, VPC/SVPC, least‑privilege patterns, and data retention policies.
• Mentor Level I developers through code reviews, pairing, and reusable patterns; contribute to internal guides.
• Partner with stakeholders to identify high‑impact opportunities, define ROI, and prioritize measurable results.
• Document code, architectures, runbooks, and reusable components in the internal knowledge base.
• Building modular, reusable components/libraries and applying clean architecture principles.

Requirements

We are looking for an experienced Software Engineer II to design, build, and scale backend and serverless solutions that improve efficiency, data quality, and system interoperability. The role is suited for a developer with strong Python (or comparable language) skills who can translate business needs into reliable cloud services and lead mid-sized projects while mentoring peers.

The role requires frequent sitting, telephone communication, and extended computer work, and team members must maintain an ergonomic remote workspace. Employees within commuting distance of Greater Cincinnati/Northern Kentucky or Atlanta are expected to work in a hybrid capacity with regular in-office presence, and all team members must reside and work in the United States.

• Bachelor’s degree in CS/Engineering or 3–5 years of relevant backend/serverless experience.
• Proficient in Python or another language (Java, Node.js) with solid data structures, modular design, testing, and package management.
• Experience designing and integrating RESTful APIs for system interoperability.
• Hands‑on experience with GCP serverless services (Cloud Run/Functions) and eventing (Pub/Sub, Cloud Scheduler, Cloud Tasks).
• Familiarity deploying AI/ML integrations (LLMs, NLP, model inference) within backend workflows.
• Experience with ETL/data pipelines (BigQuery, Dataflow/Beam), orchestration, and performance optimization.
• Strong analytical and problem‑solving skills focused on scalability, reliability, and maintainability.
• Excellent communication and collaboration with cross‑functional teams.
• Ability to lead small projects or own technical workstreams within larger initiatives.
• Deep knowledge of GCP services (IAM, VPC, Secret Manager, Cloud Build, Artifact Registry) and cloud‑native design patterns.
• Experience with Infrastructure as Code (Terraform) and CI/CD pipelines (Cloud Build, GitLab CI).
• Proficiency in SQL and data modeling; experience with BigQuery performance tuning.
• Understanding of security and compliance best practices for APIs, data, and access management.
• Observability expertise, including structured logging, metrics, traces, and SLO/error budget management.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance