Senior Software Engineer
$99,000 - $165,000 / year
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Job Description
Company
Cox Automotive- USAJob Family Group
Job Profile
Management Level
Flexible Work Option
Travel %
Work Shift
Compensation
Compensation includes a base salary of $99,000.00 - $165,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Job Description
Cox Automotive is seeking a Senior Full Stack Software Engineer to join our agile development team in Atlanta, GA. This role is ideal for a curious, adaptable engineer who thrives in a fast-paced environment, enjoys working across the stack, and is excited to explore emerging technologies, particularly artificial intelligence (AI) to help drive the next generation of our core products.As a senior team member, you will drive technical excellence, mentor junior engineers, and champion best practices in cloud-native, DevOps-focused software engineering. You’ll work in a collaborative, cross-functional Agile environment using Scrum or Kanban, partnering closely with product owners, QA engineers, and other teams.
Key Responsibilities
Design, develop, and deploy robust, scalable software solutions that meet user story requirements and acceptance criteria.
Write and maintain unit, integration, and automated tests to ensure software quality and reliability.
Support functional testing efforts for applications, modules, or new features.
Troubleshoot and resolve software defects and production issues.
Break down epics and stories into technical tasks and provide accurate estimates.
Build expertise in the applications, systems, and services you support.
Participate actively in Agile ceremonies and collaborate within a cross-functional team.
Effectively document your work and share knowledge with the team.
Monitor and manage cloud infrastructure (cost, performance, security) within AWS.
Enhance infrastructure and CI/CD pipelines to improve performance, security, and deployment cycles.
Stay current on new tools, technologies, and trends relevant to your technical domain.
Explore and incorporate AI capabilities to improve code quality, deployment processes, and innovation within our engineering practice.
Mentor and support junior and mid-level engineers through technical guidance and peer programming.
Senior-Software Level Expectations
Mentorship & Leadership: Provide technical mentorship on design patterns, code quality, and career growth.
Ownership & Initiative: Take full ownership of features or systems; proactively identify and solve problems.
Continuous Learning: Stay up to date with advancements in cloud computing, DevOps, AI, and software best practices.
Adaptability: Thrive in dynamic environments and pivot easily when priorities shift.
Collaboration & Communication: Communicate technical concepts clearly to both technical and non-technical stakeholders.
Decision-Making: Influence architectural decisions and contribute to the long-term technical strategy.
Minimum Qualifications
Bachelor’s degree in a related discipline and 4+ years of experience in a related field, OR master’s degree and 2+ years of experience, OR Ph.D. and up to 1 year of experience, OR 8+ years of directly relevant experience.
4+ years of experience designing and developing web applications.
4+ years of experience building and deploying applications in a cloud environment (preferably AWS; Azure or GCP acceptable).
4+ years of proficiency in Python, Java, or React.js.
4+ years of experience using Git or similar version control systems.
Demonstrated experience contributing to open-source projects or communities.
Preferred Qualifications
Experience or familiarity with mobile development using Dart and the Flutter framework.
AWS certifications (Developer, Solutions Architect, or DevOps) highly preferred.
Experience working with AI technologies or strong curiosity to incorporate AI into development.
Experience leading or contributing significantly to large-scale technical projects.
Technology We Use
Languages: Python, JavaScript, Java, SQL, Bash, Dart
Cloud & DevOps: AWS Lambda, EC2, SQS, SNS, API Gateway, CloudFormation, CodeBuild, Docker, Git
Databases: DynamoDB, Elasticsearch, Oracle
Tools & Practices: Kibana, Agile (Scrum/Kanban), DevOps, CI/CD
Special Focus: AI integration, Serverless architecture
Drug Testing
Benefits
About Us
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Submit 10x as many applications with less effort than one manual application.
