Seeking a Lead Software Engineer to provide technical leadership for enterprise AI platforms that enable the development, deployment, and operation of intelligent applications, agents, and automation solutions.
Locations (3)
Atlanta, Georgia, United States
Dallas, Texas, United States
Mahwah, New Jersey, United States
Compensation
The base pay for this position ranges from $108,600/year to $231,084/year.
Responsibilities
Lead the architecture, design, and implementation of enterprise AI platform capabilities.
Provide technical leadership for OpenShift-based platform environments supporting AI and intelligent automation workloads.
Define engineering standards, operational processes, and platform governance practices.
Build and maintain scalable, secure, and highly available platform services.
Develop automation for platform provisioning, deployment, upgrades, monitoring, and lifecycle management.
Lead complex AI/ML initiatives, design, develop, evaluate, and operationalize enterprise AI solutions, mentor junior data scientists, and collaborate across engineering and product teams.
Responsibilities
Design, develop, evaluate, and operationalize complex AI/ML solutions
Apply classification, regression, ranking, forecasting, clustering, and anomaly detection to enterprise AI use cases
Develop and evaluate intent classification, semantic matching, and model-routing techniques
Estimate execution latency, token demand, inference costs, and resource requirements
Bachelor’s degree in Machine Learning, Statistics, Data Science, Physics, Computer Science, or a related field, or equivalent education and industry experience
Lead complex AI/ML initiatives, design, develop, evaluate, and operationalize enterprise AI solutions, mentor junior data scientists, and collaborate across engineering and product teams.
Compensation
The range listed is just one component of BMC's employee compensation package. The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; other business and organizational needs. The range listed is zł 251,025 - zł 418,375
Responsibilities
Design and develop AI/ML solutions
Evaluate and operationalize models
Mentor junior data scientists
Collaborate with AI Engineering and Platform Engineering
Lead technical decisions
Requirements
Bachelor’s degree in Machine Learning, Statistics, Data Science, Physics, Computer Science, or a related field
Lead Software Engineer to provide technical leadership for enterprise AI platforms that enable the development, deployment, and operation of intelligent applications, agents, and automation solutions.
Locations (3)
Atlanta, Georgia, United States
Dallas, Texas, United States
Mahwah, New Jersey, United States
Compensation
The base pay for this position ranges from $108,600/year to $231,084/year.
Responsibilities
Lead the architecture, design, and implementation of enterprise AI platform capabilities.
Provide technical leadership for OpenShift-based platform environments supporting AI and intelligent automation workloads.
Define engineering standards, operational processes, and platform governance practices.
Build and maintain scalable, secure, and highly available platform services.
Build, maintain, and improve general software applications and IT infrastructure focusing on compute and storage, as well as modern public and private cloud infrastructure. Architect, design, engineer, and deploy private, public, and hybrid cloud IT infrastructure software.
Compensation
Expected base pay rates for the role will be between $160,000 and $160,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Responsibilities
Provide in-person and real-time support to businesses adopting modern cloud-based software.
Design and develop software applications to use public cloud, private cloud, and modern cloud compatible technologies.
Architect, design, engineer, and deploy private, public, and hybrid cloud IT infrastructure software.
Consider performance, resiliency, high-availability, scalability, security, and cost.
Create documentation and deliver training to operations teams, software application developers, and business units.
Lead the platform engineering organization to build and run a global platform for managing government ID and ID-enabled services, driving technical direction, delivery, reliability, security, and adoption.
Responsibilities
Set technical direction and review designs for Azure, Kubernetes/OpenShift and other cloud environments
Establish reusable deployment patterns and go-live standards using GitOps, CI/CD and infrastructure automation
Diagnose complex production failures and drive lasting fixes
Embed security gates, SBOMs, image signing, SAST/DAST and automated SOC 2/ISO 27001 evidence into delivery
Support spec-driven development and enhance agents for delivery, change preparation, incident triage, runbook automation, and human approval with audit trails
Requirements
Bachelor's degree in Computer Science, Engineering or a related field
Responsible for providing technical services covering solution design, project implementation, systems support and day-to-day operations on the Platform with Kubernetes for projects in government and enterprise.
Responsibilities
Design, deploy, scale, and maintain enterprise container orchestration platforms (Red Hat OpenShift, Kubernetes, and Docker) across on-premise and hybrid cloud environments.
Provide administration, performance tuning, patching, and troubleshooting of enterprise Linux distributions (RHEL, Oracle Linux, Euler Linux) supporting our container backends.
Ensure all containerized workloads, clusters, and underlying UNIX/Linux hosts strictly comply with HKSAR Government security regulations, Baseline IT Security Guidelines (GSI), and container security best practices.
Collaborate with development teams to build robust CI/CD pipelines, containerize legacy and microservices applications, and automate infrastructure provisioning using tools like Ansible, Terraform, and Helm.
Configure clustering, persistent storage integrations (CSI), ingress controllers, and backup strategies to guarantee high availability (99.99%+) for critical public sector services.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related discipline.
Nice to have: RHCSA
Nice to have: RHCE
Nice to have: CKA
Nice to have: Red Hat Certified Specialist in OpenShift Administration
The Consulting Services Manager develops, cultivates, and manages relationships within key Financial Services customer accounts, overseeing project delivery from kickoff to closeout and identifying new business opportunities.
Compensation
$243,440.00 - $401,540.00 (inclusive of base pay + target incentive compensation)
Responsibilities
Sell Red Hat's services and solutions using the business requirements of your customers to create unique technical offerings (AI, Virtualization, Automation, and Containers).
Meet bookings ACV targets for Red Hat Consulting, Training, and Technical Account Management.
Grow your territory through the development of internal business partnerships with the field sales team and alliance and partner programs.
Design and implement effective, high-impact technical and business solutions with a focus on middleware technologies like Red Hat OpenShift.
Accurately and consistently provide revenue and booking forecasts for your territory.
Requirements
Nice to have: Experience in Banking or Financial Services
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