Software Engineer II

Position Title: Software Engineer II (Confidential Client)

Location: Atlanta, GA | Onsite

Employment Type: Permanent

Compensation

• Salary: $100,000 - $130,000/yr

Benefits

Full benefits package

Position Summary

Our Client is looking for a mid-career software engineer to join the team in Atlanta. In this role, you will contribute to the development of scalable, modern platforms that power critical business services and support 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, infrastructure as code development, 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.


• 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.


• Proficiency in at least one modern programming language, preferably Golang.


• 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.


• Experience creating or maintaining Kubernetes Custom Resource Definitions (CRDs) and custom controllers/operators.


• Professional experience developing CLI tools and developer workflows.


• Experience building and updating GraphQL types, queries, and mutations for backend Golang APIs.


• Professional experience developing applications or tooling in Golang.


• Experience with developer platforms or internal engineering productivity initiatives.

Preferred Qualifications

• 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-as-code 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 troubleshooting complex build, deployment, or infrastructure-related issues across large distributed systems.


• 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.