SW Engineer II

Position Title: SW Engineer II (Confidential Client)

Location: Atlanta, GA | Onsite

Employment Type: Permanent

Compensation

• Salary: $116,000 - $130,000/yr

Benefits

Full Benefits package

Company Overview (Confidential)

Our Client is a technology company focused on developing scalable, modern platforms that power critical business services and support continued evolution in cloud-based technologies.

Position Summary

We are looking for a mid-career software engineer to join our team. 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. You will be part of a unique team within the Edge platform that owns the end-to-end software lifecycle—from development and build systems to testing, release automation, and platform operations. The scope of work is broad and includes software development, CLI tooling, CI/CD pipelines, Bazel build system administration and enhancements, infrastructure tooling, and root cause analysis of complex engineering issues. 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.

Primary Functions

• Design, build, test, operate, and continuously improve platform engineering solutions


• Own technical problems end-to-end, collaborating with stakeholders and engineering teams to deliver scalable, reliable solutions


• Contribute to product and platform roadmaps with consideration for 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 when necessary


• Follow established engineering standards, contribute to technical discussions, and provide constructive feedback to improve processes and tooling


• Demonstrate strong teamwork, accountability, and a growth mindset through continuous learning and collaboration

Must-Haves

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience


• 3+ years of professional software engineering experience


• Experience developing software in Linux or macOS environments


• Experience with developing software using Go


• 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 (GitHub, GitLab, or similar)


• Exposure to containerized application development using Docker and Kubernetes


• Familiarity with cloud platforms, preferably Google Cloud Platform (GCP)


• Strong desire to learn and contribute across a broad technical landscape


• Kubernetes CRD custom controllers


• Go platform engineering


• Release automation pipelines


• Developer productivity platform initiatives


• GCP cloud-native infrastructure or equivalent

Preferred Qualifications

• Professional experience developing applications or tooling in Go


• Experience designing, operating, or supporting distributed systems with consideration for 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


• Professional experience administering or developing with Bazel or other large-scale build systems


• Experience with AI application development using modern LLM platforms, including agentic workflows, skills/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/operators


• Experience troubleshooting complex build, deployment, or infrastructure-related 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 with an ability to investigate complex technical issues


• Effective verbal and written communication skills, with the ability to communicate technical concepts to both 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