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Added 16 hours ago
Senior Software Engineer, Graviton Software
Amazon
Austin, TX
You'll drive performance optimization across open-source projects, internal services, and customer applications, working on everything from Linux kernel development to C++ and Rust code…
Added 1 day ago
Sr ML Engineer, Admin Central
Workday, Inc.
CA
The Business Process Optimize (BPO) team powers the underlying platform infrastructure. You’ll build mission-critical distributed systems, high-availability usage pipelines, new agentic…
Added 1 day ago
Sr Lead Software Engineer(AI, Data Cloud)
JPMC page
Plano, TX · Columbus, OH · Jersey City, NJ
As a Senior Lead Software Engineer at JPMorganChase within Corporate Technology – Chief Technology Office, you serve as a senior individual contributor and technical leader on an agile team…
Added 1 day ago
Senior Software Engineer, Graviton Software
Annapurna Labs (U.S.) Inc.
Austin, TX · Cupertino, CA
You'll drive performance optimization across open-source projects, internal services, and customer applications, working on everything from Linux kernel development to C++ and Rust code…
Added 2 days ago
NI
Sr. AI/ML Engineer
Nuveen Investments
Iselin, NJ
- $150,000 to $209,000 USD / year
The senior AI/ML Engineer is a key technical leader and major contributor to a high-performing, fast-paced engineering team responsible for designing, building, and deploying…
Added 2 days ago
Sr. Backend Software Engineer (Infrastructure ML Ops)
Philo
San Francisco, CA · Brooklyn, NY · Cambridge, MA
SENIOR BACKEND SOFTWARE ENGINEER (INFRASTRUCTURE MLOPS)
Added 3 days ago
Sr. Principal Engineer - Vision Intelligence
Oshkosh Corporation
Remote, United States
The Sr. Principal Engineer serving as the Vision Intelligence Lead provides technical leadership for computer vision, machine learning, and edge AI capabilities supporting Oshkosh…
Added 3 days ago
Data Engineer Senior (Python/SQL)
PNC Bank NA
CO
Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving,…
Added 4 days ago
Sr Software Engineer Enterprise Tools (Observability) Architecture
Staples
Framingham, MA
Software Engineer: Enterprise Tools Engineering Architect – APM, Infrastructure, and Observability Platforms
Added 4 days ago
Sr. Software Engineer - Business Process Reengineering (BPR) and Sales Engineering
Apple
Austin, TX
…Apple running at scale and ensuring Apple's technology and business priorities move in…
Added 4 days ago
Sr. Staff Software Engineer, Systems Infrastructure
LinkedIn
Mountain View, CA
…culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on…
Added 4 days ago
S
Sr Machine Learning Engineer
SimpliSafe
Boston, MA
- $152,900 to $203,800 USD / year
We are looking for an experienced ML Infrastructure/MLOps Engineer to join our team as a Senior Machine Learning Engineer. In this role, you will drive the development and deployment of…
Added 5 days ago
Sr AI Engineer - Advanced AI (applied ML, Gen AI, ML ops)
Target Enterprise Inc
NCD-0375 Brooklyn Park, MN
As a Senior AI Engineer for Advanced AI, you will help build, deploy, and maintain AI/ML applications that support automation, insight, and action across core business workflows. You will…
Added 5 days ago
Senior/Staff AI/ML Engineer, Plant Intelligence
1 Arc Power
Mountain View, CA · Bay Area, CA
Optimization: linear or mixed-integer programming.
Added 5 days ago
Sr. DataOps Engineer, Data Platform
TopDog Law
Remote, United States
We're looking for a Senior DataOps Engineer to own the operations, security, and cost of our data platform. We're migrating from BigQuery to Snowflake, and you'll be the hands-on Snowflake…
Added 8 days ago
Sr AI/ML Performance Engineer
SanDisk
Milpitas, CA
In this AI/ML ASIC Performance Engineer position, you will develop AI Storage Solutions based advanced system architectures and AI/ML Accelerator ASIC architecture specifications for…
Added 9 days ago
Sr. Manufacturing HW Eng, AI/ML & Storage server development
Amazon Data Services, Inc.
Seattle, WA
We are seeking a Cloud Hardware Development Engineer (Manufacturing) to drive manufacturing excellence across our server portfolio. Depending on the specific role, you will own NPI…
Added 9 days ago
Sr Software Engineer II - Financial Crimes Technology
American Express
Charlotte, NC
We are looking for a highly motivated and experienced Senior Actimize Engineer to help design, develop, enhance, and scale our NICE Actimize Suspicious Activity Monitoring (SAM) platform…
Added 10 days ago
EG
Sr Platform Engineer I
Eliassen Group
Dover, DE
- $138,000 to $143,000 USD / year
Our client seeks a Sr Platform Engineer I to join the Platform Engineering and DevOps organization. The role will implement and contribute to the design and evolution of capabilities that…
Added 10 days ago
EG
Sr Platform Engineer I
Eliassen Group
Columbus, OH
- $138,000 to $143,000 USD / year
Our client seeks a Sr Platform Engineer I to join the Platform Engineering and DevOps organization. The role will implement and contribute to the design and evolution of capabilities that…
Added 10 days ago
EG
Sr Platform Engineer I
Eliassen Group
Phoenix, AZ
- $138,000 to $143,000 USD / year
Our client seeks a Sr Platform Engineer I to join the Platform Engineering and DevOps organization. The role will implement and contribute to the design and evolution of capabilities that…
Added 10 days ago
EG
Sr Platform Engineer I
Eliassen Group
Hartford, CT
- $138,000 to $143,000 USD / year
Our client seeks a Sr Platform Engineer I to join the Platform Engineering and DevOps organization. The role will implement and contribute to the design and evolution of capabilities that…
Added 10 days ago
EG
Sr Platform Engineer I
Eliassen Group
Montpelier, VT
- $138,000 to $143,000 USD / year
Our client seeks a Sr Platform Engineer I to join the Platform Engineering and DevOps organization. The role will implement and contribute to the design and evolution of capabilities that…
Added 10 days ago
EG
Sr Platform Engineer I
Eliassen Group
Cheyenne, WY
- $138,000 to $143,000 USD / year
Our client seeks a Sr Platform Engineer I to join the Platform Engineering and DevOps organization. The role will implement and contribute to the design and evolution of capabilities that…
Added 10 days ago
EG
Sr Platform Engineer I
Eliassen Group
Salem, OR
- $138,000 to $143,000 USD / year
Our client seeks a Sr Platform Engineer I to join the Platform Engineering and DevOps organization. The role will implement and contribute to the design and evolution of capabilities that…

Sr. Staff Software Engineer, Systems Infrastructure

Mountain View, CA, United States

The pay range for this role is $198,000 to $326,000.

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Job details

Pay: The pay range for this role is $198,000 to $326,000.
Posting language: English
Posted: Oct 27, 2026

Original job description

Company Description LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works.

Job Description

This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As part of our world-class software engineering team, you will take the lead in building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: service delivery platform, scalable data storage infrastructure, graph infrastructure, analytics platform, streams processing and data pipelines, cutting-edge search platform, best-in-class AI/ML infrastructure, Kubernetes compute infrastructure, media infrastructure, etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems design, and your passion for writing code that performs at massive scale. LinkedIn has pioneered many well-known open-source infrastructure projects including Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure technologies like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. The Metrics Platform team's mission is to provide a highly available and scalable metrics platform that powers the world-class observability solutions needed to support LinkedIn's needs and growth. We build and operate the foundational telemetry systems that every service, engineer, and AI-first product at LinkedIn relies on to understand the health and performance of their systems in near real time. The platform is a dial-tone-grade, geo-redundant Ring-0 dependency. When it is degraded, the company is effectively flying blind, and critical alerts may not fire. Our customers are, quite literally, every engineering team at LinkedIn. As a Senior Staff Engineer on the Metrics Platform team, you will set the technical direction for systems operating at company scale:

Ingest billions of metric events per minute from millions of containers and service instances across LinkedIn's global fleet, enabling rapid ingestion and querying of metric data.
Store and serve highly multidimensional time-series data with approximately 12 months of retention, preserving historically accurate views while maintaining interactive query latencies.
Guarantee dial-tone-grade, geo-redundant availability to ensure critical alerts fire on time for every LinkedIn product and infrastructure team.
Drive cost efficiency and multi-tenancy at scale through write-time aggregations and quota management to protect against metric fan-out.
Shape LinkedIn's observability for the AI-first future as we enable more agentic flows throughout LinkedIn's engineering systems.

You will lead the strategy, design, implementation, and operation of the Metrics Platform, with direct technical influence across the Observability Engineering organization and partner teams. You will serve as a go-to technical expert for LinkedIn's metrics systems. What You'll Do

Own the technical strategy and multi-year roadmap for major components of the Metrics Platform, developing forward-looking solutions to large, open-ended problems that extend beyond the immediate team.
Design, implement, and optimize large-scale distributed systems across the metrics pipeline, including high-throughput ingestion, multidimensional time-series storage, write-time aggregation, and low-latency querying, with reliability, security, privacy (no PII/EUII in metrics), and cost efficiency built in.
Solve the most challenging problems in the domain, including metric cardinality and fan-out management, accurate pre-aggregated percentiles, geo-redundant high availability for a Tier-0 service, query performance over large datasets, and efficient long-term retention.
Improve observability, self-service, and developer productivity for platform customers by enabling querying, dashboarding, and alerting experiences that reduce time to detection and resolution.
Set the technical bar by establishing engineering best practices, design patterns, and quality standards; leading design reviews; and mentoring Staff and senior engineers to strengthen the technical culture of a fast-moving team (Leadership / Execution / Craft).
Partner and communicate effectively across the Observability Engineering organization and partner teams, translating business and reliability requirements into robust architectures and clear execution plans spanning multiple quarters and years.

Qualifications

Basic Qualifications

BA/BS degree in Computer Science or a related technical discipline, or equivalent practical experience.
5+ years of industry experience in software design, development, and algorithm-related solutions.
5+ years of programming experience in object-oriented languages such as Java, C++, Python, Go, C#, and/or functional languages such as Scala.
Hands-on experience building and operating distributed systems, large-scale systems, databases, and/or backend APIs.

Preferred Qualifications

BS and 10+ years, MS and 9+ years, or PhD and 6+ years of relevant work experience.
Experience in one or more of the following areas: time-series/metrics systems, observability/telemetry platforms, high-throughput streaming pipelines, or OLAP/analytics storage and query engines.
Experience with technologies such as Kafka, OpenTelemetry, Grafana, Avro, Kubernetes, gRPC, and large-scale time-series/metrics storage and query engines.
Experience operating dial-tone-grade, geo-redundant services under strict reliability, latency, and cost constraints.
Experience managing high-cardinality, multidimensional data, pre-aggregation, retention tiering, and query optimization at scale.
Demonstrated ability to drive cross-team and cross-organizational technical initiatives and influence the direction of foundational systems.
Experience mentoring Staff and senior engineers and establishing a strong technical culture.
Experience applying AI/ML to operational problems, such as anomaly detection, forecasting, and automated root-cause analysis, is a plus.

Suggested Skills:

Distributed Systems
Technical Leadership
Infrastructure as a Service (IaaS)
Systems Infrastructure

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $198,000 to $326,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information

Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.

Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

Documents in alternate formats or read aloud to you
Having interviews in an accessible location
Being accompanied by a service dog
Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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More about this job

Skills

Data storage
ML
Kubernetes
API development
Apache Kafka
GraphQL
Coaching
Leadership
Computer science
Oracle Java
C++
Python
Go
C#
Scala
Grafana
Apache Avro
Forecasting
Root cause analysis

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