We are looking for a Staff Platform Engineer to contribute to the Platform solutions and infrastructure that power Forge, the AI Factory. This is a hands-on technical leadership role defining platform architecture and implementing production software.
Compensation
Pay within range listed + Bonus + Equity
Responsibilities
Build Kubernetes-native platform services: Develop and operate Kubernetes-based services, controllers, operators, deployment patterns, and runtime integrations.
Develop distributed orchestration capabilities: Design and build reusable primitives for authoring, scheduling, and scaling pipeline work.
Build reliable data-processing infrastructure: Develop platform capabilities for data storage, ingestion, validation, transformation, and governance.
Develop highly extensible platform components: Provide standardized tooling around authentication, authorization, observation, networking, routing, and secret management.
Create reference architectures: Establish recommended deployment patterns, operating profiles, capacity guidance, benchmarks, reliability practices, and distribution approaches.
Lead / Principal Product Manager – Agentic AI Products
Compensation
At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,700,000 INR. 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; and other business and organizational needs.
Responsibilities
Define product vision, strategy, and roadmap for a major product area
Conduct customer discovery and design partner engagements to validate product direction
Translate customer problems into differentiated product capabilities and business value
Analyze market trends, competitors, and emerging AI technologies to inform product strategy
Partner closely with Engineering and UX to deliver high-quality products from concept through launch
Design, validate, and deploy VMware Kubernetes Service (VKS) solutions on VMware Cloud Foundation (VCF) for enterprise customers, leading technical discovery, workshops, and proof‑of‑concepts.
Responsibilities
Act as trusted advisor for enterprise customers
Collaborate with field account teams
Lead technical discovery sessions
Partner with sales to develop proposals
Provide prescriptive guidance on Kubernetes adoption
Requirements
Bachelor’s Degree in Computer Science, Engineering, Mathematics, or related field; or equivalent experience
Nice to have: certifications in cloud-native or public cloud technologies (AWS, Azure, GCP, Red Hat OpenShift)
A Head of Engineering to lead and scale our engineering organization, drive technical strategy, and take end-to-end ownership of engineering execution and production operations.
Responsibilities
Build, lead, and scale a high-performing engineering organization, including hiring, mentoring, and developing engineering leaders and teams.
Own end-to-end engineering execution, ensuring predictable delivery, technical excellence, and alignment with business priorities.
Take full ownership of production environments and operations, including DevOps, infrastructure, deployment, monitoring, observability, availability, performance, incident management, disaster recovery, and operational reliability.
Lead architectural and technical decisions, ensuring the platform is scalable, secure, reliable, and maintainable.
Define and drive engineering strategy, standards, best practices, and long-term technical direction.
Lead a team of software engineers in building and evolving a highly scalable, fault‑tolerant distributed payment processing platform (Open VisaNet) using DevOps and platform engineering practices.
Compensation
For roles located in the US, the estimated salary range for this position is $180,600.00 to $ 289,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.
Responsibilities
Provide leadership and oversight to a team of software engineers building solutions and capabilities at scale and high engineering, quality standards & shift left security mindset.
Partner with internal and external stakeholders to understand business problems and then design and develop required solutions.
Provide technical thought leadership towards solving problems for the team.
Drive the adoption of key engineering best practices to improve quality and reliability of teams deliverables.
Responsible for keeping the team engaged, motivated and operating with a high execution velocity.
Lead technology vision, architecture, and engineering excellence for the Corporate Internet Banking Platform, driving scalable, secure, and AI-enabled solutions across banking domains.
Responsibilities
Drive technology vision and architecture for the Corporate Internet Banking Platform
Provide technical leadership across Payments, Accounts, Entitlements, Notifications, Approvals, Dashboard and Shared Services
Lead architecture and design reviews, code quality governance
Translate business requirements into scalable technology solutions
Mentor domain leads, architects, engineering managers and development teams
Requirements
Bachelor’s degree in computer science, Computer Engineering, Information Technology or equivalent discipline
Lead MGIC's software engineering, and digital delivery functions to ensure technology investments deliver measurable business outcomes, accelerate innovation, improve customer and employee experiences, and support long-term enterprise growth.
Compensation
$209,130.00 - $376,440.00
Responsibilities
Partner with the CIO and business executives to define and execute technology strategies
Translate business strategy into technology roadmaps, investment priorities, and product portfolios
Act as a trusted advisor to executive leadership regarding technology opportunities, risks, modernization strategies, architecture decisions, and emerging technologies
Lead enterprise-wide digital transformation initiatives and modernization efforts across customer-facing and internal platforms
Lead all software engineering teams responsible for the design, development, testing, deployment, support, and lifecycle management of MGIC applications and digital products
The IT Cloud Engineer – Engineering Platform Automation is responsible for designing, developing, operating, and continuously evolving Mayo Clinic's Engineering Front Door—a cloud-native digital platform that enables engineering self-service, cloud governance automation, AI-assisted guidance, reusable knowledge management, and workflow orchestration across the Hybrid Multi-Cloud ecosystem.
Responsibilities
Serve as the technical product owner for the Engineering Front Door platform.
Define and continuously improve the platform roadmap in partnership with the CCoE and Platform Engineering teams.
Design reusable platform capabilities that improve engineering productivity and customer experience.
Maintain platform reliability, performance, and operational excellence.
Design, develop, and support automated workflows for cloud engineering, governance, and platform engineering processes.
Shape the future of AI in Intellectual Property by setting the vision for the Data Science & AI organization and turning advances in machine learning, Generative AI, and Agentic AI into scalable products, smarter operations, and measurable business value.
Compensation
The expected base salary for this position is $240,000–$300,000 USD per year. This role is eligible for bonus earnings. Individual pay is based upon experience, education, skill and ability, expertise, and relevant factors.
Responsibilities
Define and execute the enterprise data science and AI vision, aligning investment and delivery with business strategy, product innovation, and long-term growth.
Differentiate our products, operations, and customer experiences through AI.
Create a multi-year roadmap for machine learning, Generative AI, Agentic AI, and advanced analytics adoption.
Lead the strategy, architecture, and implementation of Generative AI and Agentic AI solutions across the business.
Build scalable AI agents, copilots, assistants, reasoning systems, and workflow automation capabilities.
Pay Ranges
New York City, New York: $168,000 - $277,000 USD
Arlington, Virginia: $161,000 - $266,000 USD
Atlanta, Georgia: $140,000 - $231,000 USD
Austin, Texas: $140,000 - $231,000 USD
Boston, Massachusetts: $161,000 - $266,000 USD
O'Fallon, Missouri: $140,000 - $231,000 USD
Purchase, New York: $161,000 - $266,000 USD
Responsibilities
Lead the design, development, and operation of enterprise platforms supporting machine learning, generative AI, agentic AI, and advanced analytics workloads.
Translate business, engineering, and operational requirements into scalable platform solutions and implementation approaches.
Design and maintain advanced AI and machine learning systems that meet enterprise requirements for security, reliability, availability, scalability, and performance.
Own technical delivery across public and private cloud environments, identifying dependencies, resolving complex challenges, and influencing cross-functional decisions.
Build and optimize services and workflows that simplify onboarding, development, deployment, operations, and lifecycle management for AI solutions.
Staff Engineer, Platform (R6019)Newf7d8749a-72d6-407c-bf98-292ea630c73a · San Diego, US
Lead / Principal Product Manager – Agentic AI ProductsBMC Software · Bangalore, India
Lead AI Platform EngineerMastercard · New York City, US+6 more