1,000+ matching jobs for “Senior Platform Engineer”

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Analog Devices

Staff AI Platform Engineer, Developer Experience

Wilmington, Massachusetts, United States

Pay posted by employer$172,000–$236,500

… innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X . Staff AI Platform Engineer, Developer Experience Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that …

Added Nov 3, 2026

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Block

Staff Software Engineer, Financial Platform - Issuing

Melbourne, Victoria, Australia

Remote
Regular
Lead / principal

At Block, we strive to build the best financial products in the world. The Financial Platform Issuing team owns the card issuing platform that serves every Block brand — powering Cash App Card, the …

Added Oct 4, 2026

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Block

Staff Software Engineer, Financial Platform - Issuing

Bay Area, CA, United States of America +1 location 2 postings

Remote
Regular
Lead / principal

Added Oct 4, 2026

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General Motors

Senior Software Engineering, Vehicle Data Platform

Markham, Canada +1 location

Hybrid
Full time
Regular

Pay posted by employer$115,000–$164,600

… at minimum. The Role The Data Engineering organization at General Motors is building a unified Vehicle Data Platform that moves data and configuration between vehicle ECUs and the cloud. Our team is the only team within …

Added Oct 12, 2026

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Coupang

[Coupang Ads] Senior Back-end Engineer (Advertiser Platform)

Seoul, Seoul, South Korea

Full time (company default)
Senior

Added Oct 14, 2026

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Platform / DevSecOps Engineer - Secure AI Systems

Maplewood, Minnesota, United States

In person

Pay posted by employer$145,676–$178,049

… private, public, government or military experience to a 3M career. The Impact You’ll Make in this Role As a Platform / DevSecOps Engineer - Secure AI Systems, you will be the principal hands-on owner of the secure platform …

Added Oct 27, 2026

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Pfizer

Manager, AI Ops SRE Platform Engineer

Greece-Thessaloniki Chortiatis +1 location

Full time
Regular

… the Greece AI Ops pod, aligning the team's work by influence rather than line authority, and acting as the senior technical decision-maker and escalation point when incidents or design choices exceed the pod's normal …

Added Oct 16, 2026

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Biogen

Senior Manager, Service Management – ServiceNow Platform

Cambridge, Massachusetts, United States

Hybrid
Full time
Regular

Pay posted by employer$140,000–$187,250

Senior Manager, Service Management role leads the design, architecture, and delivery of solutions associated with …

Added Oct 18, 2026

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Visa

Lead Software Engineer Java, Platform Engineering

Foster City, California, United States

Hybrid

Pay posted by employer$192,300–$307,600 USD per year

We are seeking a highly experienced Lead Software Engineer to join Visa’s Shared Services and Cloud Product Development organization. This role is ideal for a senior …

Added Oct 27, 2026

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Salesforce

Senior / Lead / Principal Software Engineer - Foundations Team (Infrastructure/Platform)

California - Remote +2 locations

Pay posted by employer$117,200–$313,700 per year

… is the future of AI, and you are the future of Salesforce. The Experience Note: By applying to the Senior / Lead / Principal Software Engineer - Foundations Team posting, recruiters and hiring managers across the …

Added Oct 27, 2026

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Merck (MSD)

Senior Specialist, Private Cloud platform (Virtualization)

Hyderabad, Telangana, India

Senior Specialist, Private Cloud platform (Virtualization) The Opportunity Based in Hyderabad, join a global …

Added Oct 16, 2026

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TD Synnex

M365 Platform Manager

Bogotá, Bogota D.C., Colombia +1 location

Full time
Regular

operates as a platform product leader, not a service desk or security function, and works in close partnership with Infrastructure …

Added Oct 27, 2026

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Kyndryl Holdings

Senior Cyber Operations Engineer (SIEM/SOAR & Security Platform Engineering)

Bangkok, Bangkok, Thailand

… related field. Advanced experience with SIEM Engineering, SOAR Engineering, Detection Engineering, Security Platform Management, or SOC Engineering . Experience with UEBA (User and Entity Behavior Analytics) , advanced …

Added Oct 27, 2026

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Visa

Director, Platform Engineering

Foster City, California, United States

Pay posted by employer$219,100–$350,800 USD per year

Visa's Data Trust & Platform Engineering (DTPE) organization delivers the foundational platforms that power Visa's enterprise data, …

Added Oct 27, 2026

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Ally Financial

Platform Product Manager

Charlotte, North Carolina, United States

Full time

Pay posted by employer$110,000–$180,000

… product strategy and multi-quarter roadmap for Ally’s shared GenAI, machine learning, data, and knowledge platform. This role owns developer-facing capabilities such as AI gateways, agent frameworks and templates, model …

Added Nov 3, 2026

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State Street

Data Platform Engineering-Senior Principal, VP

Hangzhou, China

Full time

State Street Investment Management’s Data, Analytics & AI Services (DAAIS) team is seeking a Senior Data Platform and Agentic Engineering Principal (Vice President) for our Hangzhou office. This role is …

Added Oct 27, 2026

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Salesforce

Product Security Senior - Core Platform Security Team

Bellevue, Washington, United States +1 location

Pay posted by employer$148,500–$223,900 per year

… You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Job Title: Senior Product Security Engineer The Experience Salesforce's Platform Security team protects the platform that our …

Added Oct 27, 2026

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Workday

Senior Product Manager – Developer Platform Telemetry & Observability

Pleasanton, California, United States

Flex
Full time

The Developer Platform is an embedded platform-as-a-service (PaaS) built on highly scalable cloud backend infrastructure and AI …

Added Oct 27, 2026

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Cisco Systems

Splunk Platform Architect

Singapore, Singapore

… complexities of hybrid and multi-cloud environments. We are a collaborative group of high performing data platform solution architects, positioned right at the intersection of our customers, field technical sellers, …

Added Oct 27, 2026

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Nvidia

Senior Technical Program Manager - Autonomous Vehicles Platform

Santa Clara, California, United States

… potential of AI to power computers, robots, and self-driving cars that can understand the world. Our DRIVE platform gives automakers, Tier 1 suppliers, and start-ups the power and flexibility to develop and deploy …

Added Oct 27, 2026

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Analog Devices

Staff AI Platform Engineer, Developer Experience

Wilmington, Massachusetts, United States

Pay posted by employer$172,000–$236,500

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Required Skills & Experience · employer excerpt

Deep expertise in designing and operating AI workloads across multiple deployment paradigms (on-premises, hybrid, cloud-native).
Proven ability to work embedded with technical teams, understand complex requirements, and translate them into scalable architectural solutions.
Strong experience with Kubernetes, container orchestration, and distributed compute frameworks (Ray, Spark, or equivalent) at production scale.
Expert-level Infrastructure-as-Code proficiency (Terraform, CDK, or equivalent) with demonstrated ability to build reusable, multi-team infrastructure templates.
Deep knowledge of GPU/accelerator resource management, including scheduling, optimization, and cost tracking across heterogeneous hardware.

9 more in the full description below.

About this opportunity

Original employer description

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.

Staff AI Platform Engineer, Developer Experience

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

This role is within the global Developer Experience (DevEx) team, specifically the Model Developer Experience (MDX) sub-team – whose mission is to deliver world-class infrastructure and platforms that enable AI builders across ADI to move faster, with confidence, and at scale. You will join a high-performance, mission-driven interdisciplinary team that spans data science, software engineering, platform architecture, cloud infrastructure, and security expertise. We believe in a culture founded on trust, mutual respect, growth mindsets, and an obsession for building extraordinary products with extraordinary people.

Role Summary

As a Staff/Senior AI Platform Engineer (individual contributor), you will bring deep technical expertise in building scalable AI infrastructure across diverse deployment environments, and the ability to design elegant solutions that absorb operational complexity on behalf of AI builders across the organization. You will work embedded with data science and ML engineering teams to understand their infrastructure needs at the cutting edge, then translate those learnings into reusable, org-wide architectural patterns and platforms. You'll design and implement at critical infrastructure capabilities that span on-prem, hybrid, and cloud environments—from model serving and orchestration, to compute optimization, cost efficiency, and governance.

You will work at the intersection of research, technical architecture, and developer enablement—translating research and product goals into infrastructure systems that reduce friction and accelerate innovation.

Key Responsibilities

AI Developer Experience

Partner directly with AI builder teams (data scientists, ML engineers, researchers) as an embedded technical advisor, understanding their infrastructure bottlenecks and platform needs at the point of creation.

Translate specific team engagements into generalizable patterns, standards, and architectural guidance that can be adopted across the organization.

Drive initiatives that reduce friction in the AI development lifecycle—from experimentation through production—by removing operational and technical barriers for builders.

Design and advocate for developer-friendly abstractions and APIs that hide infrastructure complexity while maintaining flexibility for advanced use cases.

Collaborate with cross-functional stakeholders to define what "excellent developer experience" means for AI developers.

Shepherd ML/AI projects through ADI's AI Supply Chain ensuring governance gates are met at each transition

Facilitate cross-functional approval workflows spanning Legal, Security, Trade Compliance, Data Privacy, and Responsible AI stakeholders for high-risk model promotions

On-Prem, Hybrid, and Cloud AI Infrastructure Engineering

Design and optimize AI infrastructure strategies that span heterogeneous environments—on-premise GPU clusters, hybrid cloud-edge deployments, and cloud-native architectures—ensuring seamless developer experience across all.

Architect compute orchestration and scheduling solutions (Kubernetes, Ray, or equivalent) that efficiently allocate resources across multiple environments and workload types.

Own infrastructure for model serving, inference optimization, and real-time inference pipelines supporting low-latency, edge-deployed AI models.

Define and implement cost optimization strategies across cloud and on-prem resources, including resource allocation, auto-scaling policies, and workload consolidation.

Build reusable Infrastructure-as-Code frameworks and tooling that other teams can adopt to provision and manage AI workloads consistently across environments.

Establish observability and monitoring strategies for AI infrastructure, including resource utilization, cost tracking, and performance metrics that enable proactive problem-solving.

Drive security and compliance standards for AI infrastructure, ensuring data residency, access control, and auditability across deployment environments.

Mentor engineers on infrastructure best practices, distributed systems concepts, and optimization techniques that improve platform reliability and developer productivity.

Required Skills & Experience

Deep expertise in designing and operating AI workloads across multiple deployment paradigms (on-premises, hybrid, cloud-native).

Proven ability to work embedded with technical teams, understand complex requirements, and translate them into scalable architectural solutions.

Strong experience with Kubernetes, container orchestration, and distributed compute frameworks (Ray, Spark, or equivalent) at production scale.

Expert-level Infrastructure-as-Code proficiency (Terraform, CDK, or equivalent) with demonstrated ability to build reusable, multi-team infrastructure templates.

Deep knowledge of GPU/accelerator resource management, including scheduling, optimization, and cost tracking across heterogeneous hardware.

Experience designing model serving infrastructure and inference optimization pipelines for production AI workloads.

Demonstrated ability to solve complex infrastructure problems through systematic analysis and creative engineering.

Strong communication skills and ability to translate technical concepts for both engineering and non-technical audiences.

Familiarity with risk-tiered compliance models where control intensity scales with assessed risk level

Strong cross-functional collaboration skills — ability to work across Legal, Security, Privacy, and Engineering to align on governance workflows without creating organizational friction

Mentoring orientation with demonstrated success upskilling scientists on infrastructure and platform topics.

Preferred Skills – Physical Intelligence and Industrial AI

Experience building or scaling AI infrastructure for robotics, autonomous systems, or industrial perception applications.

Familiarity with ROS/ROS2 ecosystems and the infrastructure challenges of deploying ML models in robotic systems.

Background in edge AI deployment, including optimization for low-latency inference on resource-constrained devices.

Experience designing ML infrastructure that supports rapid iteration and few-shot adaptation in physical systems.

Knowledge of heterogeneous compute architectures combining CPUs, GPUs, and specialized processors (NPUs, FPGAs, etc.).

Experience with real-time operating systems or hard real-time constraints in distributed systems.

Understanding of manufacturing, autonomous vehicle, or healthcare domains and their infrastructure requirements for AI applications.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days

The expected wage range for a new hire into this position is $172,000 to $236,500.

Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

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