Backend Infra Engineer

Job Title: Backend Infra Engineer (Python/FastAPI +AWS+Promeths/Grafana)

Experience: 5+ Years

Work Mode: Remote

Job Type: Full-Time

Who We Are:

unifyCX is an emerging Global Business Process Outsourcing company with a strong presence in the U.S., Colombia, Dominican Republic, India, Jamaica, Honduras, and the Philippines. We provide personalized contact centers, business processing, and technology outsourcing solutions to clients worldwide. In nearly two decades, unifyCX has grown from a small team to a global organization with staff members all over the world dedicated to supporting our international clientele.

UnifyCX is a transformative AI platform that empowers and enables teams to deliver efficient, exceptional customer experiences. We engineer superhuman customer experiences through a powerful blend of strategy, omnichannel support, analytics, and AI-driven tools like GoTalent.AI, Voice of Customer, and automatic QA. Our outcome-based model prioritizes measurable results for more than 200 client programs serviced today. With a focus on automation, talent enablement, strategic partnerships, and strict data ethics, UnifyCX delivers scalable, personalized, and compliant solutions that create real business impact.

At unifyCX, we leverage advanced AI technologies to elevate the customer experience (CX) and drive operational efficiency for our clients. Our commitment to innovation positions us as a trusted partner, enabling businesses across industries to meet the evolving demands of a global market with agility and precision. unifyCX is a certified minority-owned business and an EOE employer who welcomes diversity.

About the Role:

We’re looking for a Hybrid Backend & Data Infrastructure Engineer to build robust, scalable. backend services and design the data infrastructure that powers our product and insights. You’ll straddle the line between software engineering and data engineering-designing APIs and microservices while building orchestration layers and stateful systems that are production-ready. You should be highly skilled in modern Python-based ecosystems, comfortable working across cloud-native infrastructure, and passionate about developer experience, performance, and data quality.

What You'll Do:

• Design and build scalable, maintainable backend services and APIs using Python

(FastAPI, AWS Bedrock et al)

• Develop and maintain job orchestration pipelines and data workflows for streaming and batch processing
• Design and implement datastore schemas and manage analytics-ready data models
• Collaborate with engineers to define data contracts and service interfaces
• Establish and own infrastructure-as-code and CI/CD processes
• Drive observability, monitoring, and reliability practices across services and pipelines
• Ensure data quality, lineage, governance, and compliance standards are met
• Evaluate and introduce best-in-class tools across the stack-backend, data processing, and infra

Your Toolbox:

• Python

- FastAPI

- FastMCP

- uv

- Celery / Dagster / Airflow

• k8s, Docker, Helm, CDKTF
• AWS (as Cloud Environment)
• (Nice to have) React/Typescript/Tailwind (for Frontend)
• PostgreSQL, Redis
• GitHub Actions
• Prometheus, Grafana, OpenTelemetry, DataDog

You Might Be a Fit If You:

• Have 5+ years of experience building backend systems or data platforms
• Are passionate about clean code, automation, and elegant abstractions
• Love building tools that empower other engineers and analysts
• Have shipped production systems at scale with uptime and performance goals
• Thrive in hybrid roles where backend, infra, and data intersect
• Care deeply about data quality, lineage, and performance .

Bonus Points:

• Familiarity with MLOps workflows (MLflow, Feature Stores)
• Experience with Lakehouse architectures (e.g., Delta Lake, Apache Iceberg)
• Contributions to open-source projects
• Knowledge of event-driven architectures and CDC (Change Data Capture) patterns