Engineer Platform
Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.
Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.
The Platform Engineer (India) focuses on designing, building, and maintaining the underlying infrastructure and services that host the Generative AI platform. This includes configuring cloud services, implementing DevOps pipelines, and ensuring platform performance, reliability, and scalability. Collaboration with development, QA, and security teams is central to this role.
ESSENTIAL FUNCTIONS
Infrastructure & AutomationProvision, configure, and manage cloud infrastructure (AWS, Azure, or GCP) for AI workloads.
Automate deployment, monitoring, and scaling through DevOps practices and tools.
Performance & ReliabilityImplement performance monitoring and alerting to ensure high availability of platform services.
Conduct root cause analysis for incidents and implement corrective actions.
Responsible for platform uptime and performance SLAs.
Security & ComplianceCollaborate with security teams to implement secure configurations and compliance controls.
Maintain documentation and best practices around platform governance.
CollaborationWorks closely with developers, QA, security, and operations teams.
May serve as a vendor liaison for specialized infrastructure tools.
Partnering with management, may help influence costs through cloud usage optimization.
QUALIFICATIONS
Bachelor’s degree in Computer Science, Engineering, or related field.
3–5 years in platform engineering, DevOps, or site reliability engineering (SRE).
Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI), container orchestration (Kubernetes), and infrastructure as code (Terraform, Ansible).
Cloud certifications (AWS, Azure, GCP) are beneficial.
Strong scripting and automation skills (Python, Bash, etc.).
Team player with excellent problem-solving abilities.
Familiarity with observability tools (e.g., Grafana, Prometheus).
Available for on-call rotation for platform support if needed.
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.
Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.
The Platform Engineer (India) focuses on designing, building, and maintaining the underlying infrastructure and services that host the Generative AI platform. This includes configuring cloud services, implementing DevOps pipelines, and ensuring platform performance, reliability, and scalability. Collaboration with development, QA, and security teams is central to this role.
ESSENTIAL FUNCTIONS
Infrastructure & AutomationProvision, configure, and manage cloud infrastructure (AWS, Azure, or GCP) for AI workloads.
Automate deployment, monitoring, and scaling through DevOps practices and tools.
Performance & ReliabilityImplement performance monitoring and alerting to ensure high availability of platform services.
Conduct root cause analysis for incidents and implement corrective actions.
Responsible for platform uptime and performance SLAs.
Security & ComplianceCollaborate with security teams to implement secure configurations and compliance controls.
Maintain documentation and best practices around platform governance.
CollaborationWorks closely with developers, QA, security, and operations teams.
May serve as a vendor liaison for specialized infrastructure tools.
Partnering with management, may help influence costs through cloud usage optimization.
QUALIFICATIONS
Bachelor’s degree in Computer Science, Engineering, or related field.
3–5 years in platform engineering, DevOps, or site reliability engineering (SRE).
Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI), container orchestration (Kubernetes), and infrastructure as code (Terraform, Ansible).
Cloud certifications (AWS, Azure, GCP) are beneficial.
Strong scripting and automation skills (Python, Bash, etc.).
Team player with excellent problem-solving abilities.
Familiarity with observability tools (e.g., Grafana, Prometheus).
Available for on-call rotation for platform support if needed.
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.