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Senior Software Engineer – Product Security
Rockwell Automation. Develop software components, services, and tools supporting product security programmes .
Core Competencies
Role fitCore Competencies
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Demonstrates expertise in secure software development lifecycle (SSDLC) practices, secure coding, and vulnerability remediation while leveraging modern programming languages and cloud-native architectures. Proficient in integrating security requirements into product designs and collaborating with global teams to enhance software quality and compliance.
Highest-signal resume keywords
Secure Software Development Lifecycle (SSDLC)Modern Programming Languages (C#, C++, Java, Python, Go, TypeScript)Cloud-Native Application DevelopmentDevSecOps Practices and CI/CD IntegrationThreat Modelling and Security Risk Assessments
ATS Keywords
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Hard Skills
Secure Coding PracticesVulnerability RemediationObject-Oriented Design PrinciplesData Structures and AlgorithmsREST APIsMicroservicesContainersAutomated TestingSecurity ProtocolsGenerative AI Tools
Soft Skills
CollaborationProblem-SolvingTechnical DocumentationCommunication
Tools & Technologies
GitGitHubAzure DevOpsCI/CD PipelinesNode.jsAngularReactGraphQLWindowsLinux
Industry Keywords
OWASP Top 10CWEIEC 62443NIST SSDFCRANIS2DevSecOpsSASTSCADAST
Tech Stack
Tools & technologiesAngularAzureCloudCyber SecurityDistributed SystemsGraphQLJavaJavaScriptLinuxMicroservicesNode.jsPythonReactTypeScriptC++Go
About the role
Key responsibilities & impact- Develop software components, services, and tools supporting product security programmes
- Apply secure coding practices and security-by-design principles throughout the software development lifecycle
- Participate in feature design, implementation, testing, and deployment activities
- Support threat modelling, security reviews, vulnerability remediation, and risk mitigation efforts
- Develop automation solutions that improve security, compliance, and engineering productivity
- Contribute to cloud-native, web, desktop, or distributed application development
- Collaborate with software engineering teams to integrate security requirements into product designs and implementations
- Investigate, troubleshoot, and resolve software defects, performance issues, and security findings
- Participate in code reviews, design reviews, and technical discussions
- Create technical documentation, test plans, and engineering artefacts
- Support DevSecOps projects by integrating security tooling into CI/CD pipelines
- Use Generative AI tools responsibly to improve software development efficiency, code quality, testing, documentation, and engineering workflows
- Learn and stay current with technologies, cybersecurity threats, software engineering practices, and AI-driven development methodologies
- Collaborate with global teams
- Report to the Senior Manager, Software Engineering
Requirements
What you’ll need- Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, Software Engineering, Cybersecurity, Electronic & Communication Engineering, or equivalent practical experience
- Knowledge of secure software development lifecycle (SSDLC) practices
- Understanding of common software vulnerabilities and mitigations, including OWASP Top 10, CWE, and secure coding practices
- Familiarity with threat modelling concepts and security risk assessments
- Experience developing software using one or more modern programming languages such as C#, C++, Java, Python, Go, or TypeScript
- Experience working in Agile development environments
- Preferred: 5+ years of software development experience
- Experience developing software for cloud, web, desktop, or distributed systems
- Experience with object-oriented design principles, data structures, algorithms, and design patterns
- Experience with TypeScript, Node.js, Angular, React, GraphQL, or similar technologies
- Experience developing software on Windows and Linux platforms
- Familiarity with REST APIs, microservices, containers, and cloud-native architectures
- Experience with Git, GitHub, Azure DevOps, CI/CD pipelines, and automated testing
- Knowledge of authentication, authorization, encryption, and security protocols
- Exposure to DevSecOps practices and security scanning tools such as SAST, SCA, DAST, SBOM, or container security solutions
- Understanding of security frameworks and standards such as IEC 62443, NIST SSDF, CRA, NIS2, or similar industry standards
- Experience using Generative AI tools such as GitHub Copilot, ChatGPT, Claude, Cursor, or similar platforms
- Understanding of AI-assisted software development, prompt engineering, code generation, automated testing, and documentation workflows
- Exposure to AI/ML concepts, LLMs, retrieval-augmented generation (RAG), agentic workflows, or AI-enabled developer tooling
- Experience working with geographically distributed teams
Benefits
Comp & perks- Comprehensive mindfulness programs with a premium membership to Calm
- Volunteer Paid Time off available after 6 months of employment for eligible employees
- Company volunteer and donation matching program
- Employee Assistance Program
- Personalized wellbeing programs through our OnTrack program
- On-demand digital course library for professional development
- Other local benefits