SW Engineer II Job Atlanta area,Georgia USA,Software Development

About NCR VOYIX

NCR Voyix Corporation (NYSE: VYX) is a global platform-powered leader in unified commerce for shopping and dining. Combining a flexible, intelligent platform with end-to-end payments capabilities and services developed through its deep industry experience, NCR Voyix empowers retailers and restaurants to accelerate new possibilities for their operations, experiences and business outcomes. NCR Voyix is headquartered in Atlanta, Georgia, and serves customers in more than 35 countries worldwide.

NCR Voyix is seeking a mid-level Software Engineer to join our team in Atlanta. In this role, you will contribute to the development of scalable, modern platforms that power critical business services and support our continued evolution in cloud-based technologies. Our team focuses on building reliable and efficient systems that enable seamless data exchange across distributed environments. You’ll work on solutions designed for high performance, resilience, and scalability, helping ensure consistent and dependable system operations.

As part of this team, you’ll contribute throughout the software development lifecycle while collaborating with cross-functional partners to deliver high-quality solutions. This role is ideal for engineers who enjoy solving complex technical challenges, working across different layers of the stack, and building systems that are robust, scalable, and impactful.

Position Summary & Key Areas of Responsibility

Design, build, and operate systems enabling reliable data synchronization (cloud edge)
Develop services and components in Golang to support highly available, fault-tolerant data pipelines
Work with technologies such as CouchDB, Redpanda, and GCP Pub/Sub topics to enable scalable data movement
Build and enhance CI/CD pipelines, build systems, and developer tooling via Git Hub Actions, Argo Worklows, or similar technologies.
Contribute to internal tooling and development for replication and encryption services.
Own problems end-to-end, including design, implementation, testing, deployment, and production support
Troubleshoot and resolve complex issues such as network failures, data inconsistencies, and distributed system edge cases
Improve system reliability, observability, scalability, and performance
Collaborate with cross-functional teams to integrate data services across the platform
Automate API validation, testing, and debugging
Uphold engineering best practices and continuously improve team processes

Basic Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
3+ years of professional software engineering experience
Strong desire to learn and work across a broad technical landscape
Experience working in Linux or macOS environments
Proficiency in at least one programming language (preferably Go)
Strong understanding of data structures, system design, and distributed system fundamentals
Familiarity with Git-based workflows (Git Hub, Git Lab, etc.)
Exposure to Kubernetes and Docker containerized applications
Familiarity with cloud environments (preferably GCP)

Preferred Qualifications

Experience with Golang in a production or open-source environment
Experience building and operating distributed systems or data pipelines
Familiarity with message streaming systems (e.g., Redpanda, Kafka)
Experience working with No

SQL databases (e.g., CouchDB)
Understanding of Pub/Sub messaging architectures
Experience with CI/CD pipelines and automation frameworks
Familiarity with observability tools (logging, metrics, tracing) such as Open Telemetry, Prometheus, and Fluentbit
Experience ensuring data durability, consistency, and recovery during failures Professional experience working with Bazel (or other build systems like make) Experience with Kubernetes CRDs or custom controllers Strong experience debugging cross-system data flow issues General knowledge, skills and abilities
Google Cloud Platform Familiarity using (or contributing to) open-source projects In-depth knowledge of end-to-end systems development life cycles (including agile, iterative, and other modern approaches to software development) Outstanding verbal and written communication…