SW Engineer II

YK Solutions•Atlanta, GA

22h•Onsite

About The Position

The SW Engineer II will join a team developing scalable, modern platforms that power critical business services and support the evolution of cloud-based technologies. The role is part of an Edge platform team responsible for the end-to-end software lifecycle, including development, build systems, testing, release automation, and platform operations. The work spans software development, CLI tooling, CI/CD pipelines, Bazel build system administration and enhancements, infrastructure tooling, and root cause analysis of complex engineering issues. The engineer will work across different layers of the stack to build robust, scalable, and impactful systems.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
At least 3 years of professional software engineering experience.
Experience developing software in Linux or macOS environments.
Experience developing software using Go and proficiency in at least one modern programming language, preferably Go.
Strong understanding of software engineering fundamentals, including data structures, algorithms, and system design.
Familiarity with distributed systems concepts and modern software architectures.
Experience using Git-based source control workflows such as GitHub or GitLab.
Exposure to containerized application development using Docker and Kubernetes.
Familiarity with cloud platforms, preferably Google Cloud Platform (GCP).
Desire to learn and contribute across a broad technical landscape.

Nice To Haves

Experience developing applications or tooling in Go.
Experience designing, operating, or supporting distributed systems with attention to scalability, performance, availability, and observability.
Experience with platform engineering practices and tools, including GitOps, CI/CD, OCI artifacts, test infrastructure, or build systems.
Experience working with Kubernetes clusters and associated ecosystem components.
Familiarity with infrastructure automation and developer productivity tooling.
Experience contributing to open-source projects.
Experience administering or developing with Bazel or other large-scale build systems.
Experience developing AI applications using modern LLM platforms, including agentic workflows, skills or tool definitions, prompt engineering, model evaluation, or integration with commercial and open-source AI models.
Experience developing CLI tools and developer workflows.
Experience creating or maintaining Kubernetes Custom Resource Definitions (CRDs) and custom controllers or operators.
Experience troubleshooting complex build, deployment, or infrastructure issues across large distributed systems.
Experience with developer platforms or internal engineering productivity initiatives.
Working knowledge of Google Cloud Platform and cloud-native technologies.
Understanding of modern software development methodologies, including Agile and iterative development practices.
Strong analytical and problem-solving skills, including the ability to investigate complex technical issues.
Effective verbal and written communication skills, with the ability to communicate technical concepts to technical and non-technical audiences.
Ability to estimate work, manage priorities, and deliver commitments within a team environment.
Understanding of infrastructure and systems concepts, including networking, compute, storage, security, containers, and platform operations.
Positive attitude, strong work ethic, and commitment to continuous improvement and collaboration.

Responsibilities

Design, build, test, operate, and continuously improve platform engineering solutions.
Own technical problems end-to-end and collaborate with stakeholders and engineering teams to deliver scalable, reliable solutions.
Contribute to product and platform roadmaps, considering performance, reliability, observability, operability, and testability.
Support and enhance CI/CD pipelines, development workflows, build systems, and release automation processes.
Participate in root cause analysis, incident investigation, troubleshooting, and continuous improvement efforts.
Diagnose and resolve issues across internal systems and downstream dependencies, partnering with other teams as needed.
Follow established engineering standards, participate in technical discussions, and provide constructive feedback to improve processes and tooling.
Demonstrate teamwork, accountability, continuous learning, and collaboration.