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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in software design, development, and deployment within cloud-native environments, with a strong focus on security, automation, and operational efficiency. Proficient in leveraging AI tools and practices to enhance software delivery and maintain high-quality standards.
Highest-signal resume keywords
C#/.NET DevelopmentKubernetes DeploymentAzure Cloud ServicesCI/CD Pipeline DevelopmentApplication Security Assessment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Design PatternsObject-Oriented ProgrammingScalable Application DevelopmentTroubleshooting and Problem-SolvingInfrastructure-as-CodeMonitoring and Observability SolutionsSecure Coding PracticesAI-Powered Development ToolsAutomated TestingContinuous Improvement
Soft Skills
Mentoring Junior EngineersConstructive Feedback
Tools & Technologies
GitHub ActionsCloud-Native TechnologiesAutomation FrameworksLinuxWindows
Certifications & Qualifications
Cloud CertificationsSecurity Certifications
Industry Keywords
Security-Sensitive EnvironmentsVulnerability AssessmentsRisk AssessmentsSecure Software Development LifecycleRoot Cause Analysis
Tech Stack
Tools & technologiesAzureCloudKubernetesLinuxLaravelPHP.NET
About the role
Key responsibilities & impact- Design, develop, test, and maintain high-quality software solutions
- Apply software design patterns and engineering best practices to create scalable, maintainable, and secure systems
- Participate in architectural discussions and system design decisions
- Perform code reviews and provide constructive feedback
- Troubleshoot and resolve complex technical issues across multiple application layers
- Ensure software quality through automated testing, monitoring, and continuous improvement
- Build, deploy, and support applications in cloud-native environments
- Develop and maintain CI/CD pipelines using GitHub Actions and related automation technologies
- Deploy and troubleshoot workloads running on Kubernetes
- Support Azure-based infrastructure and services
- Improve deployment automation, observability, and operational efficiency with platform and infrastructure teams
- Participate in root cause analysis and remediation of production incidents
- Leverage AI-powered development tools, agents, and automation frameworks
- Build intelligent automation solutions to reduce manual effort and improve operational efficiency
- Use AI-assisted troubleshooting to accelerate root cause identification and resolution
- Evaluate emerging AI technologies and recommend practical applications
- Champion responsible AI adoption across engineering teams
- Analyze CVEs and assess their impact on applications, infrastructure, and supporting services
- Develop remediation plans and ensure timely resolution of security findings
- Support security initiatives across Linux and Windows environments
- Implement secure coding practices and contribute to threat mitigation
- Participate in security reviews, vulnerability assessments, and incident response activities
- Operate with autonomy, own complex technical initiatives, mentor junior engineers, and advance cloud and security capabilities
Requirements
What you’ll need- Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline preferred
- Minimum of 3 years of professional software engineering experience
- Strong understanding of software engineering fundamentals, object-oriented programming, and system design patterns
- Experience designing and building scalable enterprise applications
- Strong troubleshooting and problem-solving skills
- Experience with cloud-native technologies and deployment practices
- Experience with Kubernetes and containerized application deployments
- Experience using Azure cloud services
- Experience creating and supporting CI/CD pipelines using GitHub Actions or similar technologies
- Demonstrated experience leveraging AI tools, agents, and automation platforms to improve software delivery and operational outcomes
- Strong understanding of application and infrastructure security concepts
- Experience analyzing CVEs, performing risk assessments, and driving remediation activities
- Experience supporting applications running on both Linux and Windows environments
- Practical development experience using C#/.NET preferred
- Practical development experience using Laravel/PHP preferred
- Experience with infrastructure-as-code and cloud automation preferred
- Experience implementing monitoring, logging, and observability solutions preferred
- Knowledge of secure software development lifecycle (SSDLC) practices preferred
- Experience working in highly regulated or security-sensitive environments preferred
- Relevant cloud or security certifications preferred
Benefits
Comp & perks- Annual incentive bonus
- Country-specific benefits
- Accommodation or adjustment support for applicants with disabilities or other needs
