Software Engineer - Security

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. This is remote role based in USA
We are seeking a Senior Software Engineer to design, build, and enhance enterprise-grade Security & Access Management solutions. The ideal candidate will have strong expertise in backend development, cloud security, Identity and Access Management (IAM), Generative AI, and modern web technologies. This role involves building scalable platforms that automate access provisioning, governance, security controls, and user experiences across complex enterprise environments.
Develop and maintain Security & Access Management platform features using Kotlin and modern engineering practices.
Design and build scalable REST APIs, backend services, and complex authorization workflows.
Integrate with enterprise and cloud systems, including AWS, Kubernetes, LDAP, SSH, and business applications.
Implement Generative AI / LLM capabilities for contextual access guidance, permission descriptions, and access request support.
Lead platform modernization initiatives, including refactoring, upgrades, migrations, and performance improvements.
Implement and support provisioning solutions, secrets management, MFA, and cloud account lifecycle management.
Develop mobile-responsive UI components, workflows, and email templates using TypeScript and modern web frameworks.
Support production platforms through monitoring, troubleshooting, maintenance, and continuous improvement.
Bachelors degree in Computer Science, Engineering, or a related field.
~3–5+ years of software development experience.
~ Strong proficiency in Kotlin/Java and backend application development.
~ Experience building distributed systems, microservices, and RESTful APIs.
~ Hands-on experience with AWS, Kubernetes, IAM, LDAP, or security platforms.
~ Hands-on experience with Generative AI/LLM integrations in enterprise applications. Experience with frontier AI models such as Mythos in the security domain is preferred.
~ Experience developing web applications using TypeScript and modern frontend frameworks.
~ Strong knowledge of authentication, authorization, access governance, and cloud security best practices.
~ Experience building Identity & Access Management (IAM), security, or governance platforms.
~ Knowledge of secrets management, MFA, privileged access management, and cloud security tools.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.

S. and Canada, available benefits are determined by local policy and eligibility and may include:

~ Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility
Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.