State Street
State Street
State Street एक वैश्विक वित्तीय सेवा कंपनी है, जो निवेश प्रबंधन और निवेश सेवा समाधानों के माध्यम से संस्थागत निवेशकों को सेवाएँ प्रदान करती है। इसकी सेवाओं में परिसंपत्ति प्रबंधन, कस्टोडियल सेवाएँ और निवेश अनुसंधान शामिल हैं, जिन्हें वित्त, फिनटेक और बैंकिंग के क्षेत्र में विशेषज्ञता का समर्थन प्राप्त है। कंपनी डेटा, अंतर्दृष्टि और परिचालन क्षमताओं के माध्यम से ग्राहकों को जटिल निवेश गतिविधियों का प्रबंधन करने, दक्षता बढ़ाने और वित्तीय निर्णय लेने में सहायता करने पर केंद्रित है।

AI Platform and Operations Lead, Assistant Vice President – Boston Onsite

Lead secure AI platform operations across Azure, AWS, and private cloud environments. Build resilient, compliant infrastructure and operating practices for State Street’s financial services technology.

विवरण

  • Own the design, implementation, and daily operation of secure enterprise AI platforms across Azure, AWS, and private cloud environments.
  • Configure and run platform services such as virtual networks, Kubernetes, virtual machines, secrets management, messaging, storage, databases, AI/ML studios, LLM services, and Databricks.
  • Develop automation scripts, infrastructure-as-code patterns, deployment pipelines, and repeatable operational runbooks.
  • Apply Azure, AWS, and private cloud capabilities to satisfy enterprise security, resilience, observability, technology, and compliance standards.
  • Lead identity and access management, configuration management, monitoring, alerting, logging, incident response, and operational readiness practices.
  • Work with application, data, risk, cyber, architecture, and business teams to turn platform requirements into dependable AI operations capabilities and reusable enterprise patterns.
  • Contribute to production readiness assessments, resilience testing, disaster recovery planning, vulnerability remediation, and platform control documentation.
  • Help establish platform standards, governance, documentation, service onboarding practices, and continuous improvements in AI platform operations.

आवश्यकताएँ

  • At least four years of full-time IT experience in cloud engineering, cloud support, platform engineering, site reliability engineering, DevOps, MLOps, AI platform engineering, or cloud administration.
  • Experience designing, deploying, supporting, and operating Azure, AWS, or private cloud environments across IaaS, PaaS, containers, managed services, and production support.
  • Hands-on experience with Terraform, Backstage, Harness, CI/CD, infrastructure as code, environment management, and deployment automation.
  • Experience with virtual networks, Kubernetes, virtual machines, secrets stores, messaging, object and file storage, databases, AI/ML studios, LLM services, and Databricks.
  • Bachelor’s degree in computer science, mathematics, engineering, information technology, or a related technical discipline.
  • Proven ability to deploy and support enterprise workloads in Azure, AWS, or private cloud with suitable security, resilience, and monitoring controls.
  • Proficiency in PowerShell, Python, shell scripting, or comparable languages for automating cloud infrastructure and platform operations.
  • Background in business continuity, disaster recovery, resilience testing, incident management, or production support.
  • Preferred understanding of AI/ML lifecycles, LLM services, model hosting, responsible AI controls, MLOps, observability, and production readiness.
  • Preferred experience in regulated financial services, risk-managed organizations, or tightly controlled technology environments.
  • Strong critical-thinking, problem-solving, and decision-making abilities.
  • A strong sense of ownership, operational rigor, and the ability to manage issues through resolution.
  • Experience collaborating with large, global, and diverse teams across locations and business functions.
  • Solid knowledge of AWS, Azure, or private cloud services, including enterprise security, networking, and resilience practices.
  • Ability to communicate clearly with both technical and non-technical stakeholders.
  • Interest in responsible AI, platform governance, automation, observability, and advancing operational maturity.

लाभ

  • 401(k) retirement savings plan with company matching.
  • Insurance options including basic life, medical, dental, vision, long-term disability, and additional voluntary coverage.
  • Paid time off covering vacation, sick leave, short-term disability, and family-care needs.
  • Employee Assistance Program.
  • Eligibility for annual performance-based incentive awards.
  • Access to certain tax-advantaged savings programs.
  • Opportunities for inclusive professional development.
  • Flexible support for work-life needs.
  • Paid volunteer days.
  • Employee resource networks.

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