Software Engineer (DevOps, On-Premise)

Location
New York City
Type
Full time
Department
Engineering

ProSights, led by a team of industry veterans and cybersecurity/AI experts, is pioneering the creation of a secure AI ecosystem for the financial sector. Our enterprise search and workflow automation platform leverages decades of combined experience in finance, cybersecurity, and artificial intelligence to set new standards in the industry. Built with uncompromising security measures, our solution enables investment firms to harness cutting-edge AI technology while maintaining ironclad data protection and regulatory compliance. As we rapidly expand our team of seasoned professionals in NYC, we're poised to bring this mission-critical technology to more institutions.

Why Join Our Team of Experts?

  • Pioneering AI safety: Collaborate with industry leaders to ensure responsible AI use in finance.
  • Industry-leading security: Work alongside cybersecurity veterans on a platform that defines data protection excellence in financial technology.
  • Impactful partnerships: Engage with top-tier financial institutions and regulatory bodies, leveraging our team's extensive network.
  • Innovative solutions: Shape the future of secure, AI-driven financial operations with guidance from seasoned experts.
  • Rapid growth: Experience fast-paced development in a crucial sector of fintech, led by professionals who've navigated industry transformations.

Responsibilities:

  • Design, implement, and maintain secure on-premises infrastructure solutions for our AI-powered financial analytics platform
  • Develop and manage hybrid cloud/on-premises architectures to meet stringent security and compliance requirements of financial institutions
  • Create and maintain automated deployment pipelines for on-premises environments
  • Implement robust monitoring, logging, and alerting systems for on-premises installations
  • Collaborate with cloud DevOps teams to ensure seamless integration between cloud and on-premises systems
  • Develop and maintain disaster recovery and business continuity plans for on-premises deployments
  • Optimize on-premises infrastructure for high performance, considering the unique requirements of AI/ML workloads
  • Implement and maintain strong security measures, including network segmentation, access controls, and encryption
  • Provide technical support and troubleshooting for on-premises client installations
  • Conduct regular security audits and vulnerability assessments of on-premises systems

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or related field
  • 5+ years of experience in DevOps or Systems Engineering, with a focus on on-premises infrastructure
  • Strong knowledge of Linux/Unix systems administration
  • Experience with virtualization technologies (e.g., VMware, Hyper-V)
  • Proficiency in scripting languages (e.g., Python, Bash, PowerShell)
  • Familiarity with configuration management tools (e.g., Ansible, Puppet, Chef)
  • Experience with on-premises networking concepts and technologies
  • Knowledge of storage solutions and data management in on-premises environments
  • Understanding of security best practices for on-premises infrastructure

Bonus:

  • Experience in financial services or working with high-security, regulated environments
  • Knowledge of regulatory compliance requirements for on-premises financial systems
  • Familiarity with AI/ML infrastructure requirements and deployment challenges
  • Experience with containerization and orchestration in on-premises environments (e.g., Docker, Kubernetes)
  • Understanding of data center operations and hardware management
  • Certifications in relevant technologies (e.g., RHCE, MCSE, VMware VCP)
  • Experience with hybrid cloud architectures and integrations
  • Familiarity with high-performance computing for AI/ML workloads

Who We're Looking For?

  • You're excited to learn from and contribute to a team of industry veterans and AI/cybersecurity experts.
  • You thrive in fast-paced, innovative environments and are passionate about responsible AI in finance
  • You're ambitious and eager to tackle the challenge of making AI both powerful and trustworthy under expert guidance.
  • You're deeply curious about the intersection of AI, finance, and cybersecurity, and ready to dive into complex problems.
  • You take ownership of your work and are comfortable navigating ambiguity while prioritizing security, in line with our team's high standards.
  • You're collaborative, organized, and thoughtful, with a strong ethical compass that aligns with our experienced leadership.