Software Engineer – Product Security

Rockwell Automation

. Design, develop, test, and maintain software components, services, and tools supporting product security programmes .

Posted 10/27/2026full-timeBengaluru • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in secure software development lifecycle (SSDLC) practices, including secure coding and vulnerability remediation. Proficient in modern programming languages and cloud-native application development, with a strong focus on integrating security into engineering workflows.

Highest-signal resume keywords

Secure Software Development Lifecycle (SSDLC)Modern Programming Languages (C#, C++, Java, Python, Go, TypeScript)Threat Modelling and Security Risk AssessmentsDevSecOps and CI/CD IntegrationCloud-Native Application Development

ATS Keywords

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Hard Skills

Secure Coding PracticesVulnerability RemediationAgile DevelopmentObject-Oriented Design PrinciplesData StructuresAlgorithmsDesign PatternsREST APIsMicroservicesAutomated Testing

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

GitGitHubAzure DevOpsGenerative AI ToolsNode.jsAngularReactGraphQLContainersCloud-Native Architectures

Industry Keywords

OWASP Top 10CWEIEC 62443NIST SSDFCRANIS2Security ProtocolsAI/ML ConceptsPrompt EngineeringRetrieval-Augmented Generation (RAG)

Tech Stack

Tools & technologies

AngularAzureCloudCyber SecurityDistributed SystemsGraphQLJavaJavaScriptLinuxMicroservicesNode.jsPythonReactTypeScriptC++Go

About the role

Key responsibilities & impact

Design, develop, test, and maintain 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 and maintain 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
Report to the Senior Manager, Software Engineering
Work with globally distributed teams

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Cybersecurity, Electrical Engineering, or equivalent practical experience
2+ years of software development 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 with one or more modern programming languages such as C#, C++, Java, Python, Go, or TypeScript
Experience working in Agile development environments
Preferred: experience developing software for cloud, web, desktop, or distributed systems
Preferred: object-oriented design principles, data structures, algorithms, and design patterns
Preferred: TypeScript, Node.js, Angular, React, GraphQL, or similar technologies
Preferred: Windows or Linux development
Preferred: REST APIs, microservices, containers, and cloud-native architectures
Preferred: Git, GitHub, Azure DevOps, CI/CD pipelines, and automated testing
Preferred: authentication, authorization, encryption, and security protocols
Preferred: IEC 62443, NIST SSDF, CRA, NIS2, or similar standards
Preferred: Generative AI tools such as GitHub Copilot, ChatGPT, Claude, Cursor, or similar platforms
Preferred: AI-assisted software development, prompt engineering, code generation, automated testing, and documentation workflows
Preferred: AI/ML concepts, LLMs, retrieval-augmented generation (RAG), agentic workflows, or AI-enabled developer tooling
Preferred: evaluating AI-generated outputs for quality, security, maintainability, and compliance

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