Member of Technical Staff, Data Infrastructure Job at Runway

Member of Technical Staff, AI Training Infrastructure

As a Training Infrastructure Engineer, you'll design, build, and optimize the in...

Location

United States , San Mateo

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience
3+ years of experience with distributed systems and ML infrastructure
Experience with PyTorch
Proficiency in cloud platforms (AWS, GCP, Azure)
Experience with containerization, orchestration (Kubernetes, Docker)
Knowledge of distributed training techniques (data parallelism, model parallelism, FSDP)

Job Responsibility

Design and implement scalable infrastructure for large-scale model training workloads
Develop and maintain distributed training pipelines for LLMs and multimodal models
Optimize training performance across multiple GPUs, nodes, and data centers
Implement monitoring, logging, and debugging tools for training operations
Architect and maintain data storage solutions for large-scale training datasets
Automate infrastructure provisioning, scaling, and orchestration for model training
Collaborate with researchers to implement and optimize training methodologies
Analyze and improve efficiency, scalability, and cost-effectiveness of training systems
Troubleshoot complex performance issues in distributed training environments

What we offer

meaningful equity in a fast-growing startup
comprehensive benefits package

Fulltime

Member of Technical Staff, Cloud Infrastructure

As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefr...

Location

United States , New York, NY; San Mateo, CA; Redwood City, CA

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure)
Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.)
Strong software development skills in languages like Python, or C++
Deep understanding of distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization

Job Responsibility

Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines
Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure
Design and implement core backend services (e.g., job schedulers, resource managers, autoscalers, model serving layers) with a focus on efficiency and low latency
Drive infrastructure optimization initiatives, including compute cost reduction, storage lifecycle management, and network performance tuning
Collaborate cross-functionally with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions
Continuously evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Ray, Kubeflow, MLFlow) to enhance our platform’s capabilities and reliability
Own end-to-end systems from design to deployment and observability, with a strong emphasis on reliability, fault tolerance, and operational excellence

What we offer

Meaningful equity in a fast-growing startup
Competitive salary
Comprehensive benefits package

Fulltime

Member of Technical Staff - Platform Engineer

Platform Engineer to join our team building backend infrastructure for new ML-po...

Location

United States , Palo Alto

Salary:

175000.00 - 350000.00 USD / Year

Inflection AI

Expiration Date

Until further notice

Requirements

Backend engineering experience with Python, TypeScript, or Node.js
Hands-on experience working with production PyTorch models, model checkpoints, and inference logic
Strong knowledge of building APIs and services that are scalable, stable, and secure
Passion for bridging backend engineering and ML systems, especially at the infrastructure layer
Familiarity with tools such as FastAPI, Postgres, Redis, Kubernetes, and React
Desire to be hands-on and contribute to shaping the foundation of a new enterprise ML product
Have a bachelor’s degree or equivalent in a related field to the offered position requirements

Job Responsibility

Build and maintain backend services to support LLM integration, inference orchestration, and data flow
Write clean, reliable Python code for experimentation, model integration, and production systems
Collaborate closely with ML researchers to rapidly iterate on product ideas and deploy features
Design and implement infrastructure to handle scalable inference workloads and enterprise-level use cases
Own system components and ensure reliability, observability, and maintainability from day one

What we offer

Diverse medical, dental and vision options
401k matching program
Unlimited paid time off
Parental leave and flexibility for all parents and caregivers
Support of country-specific visa needs for international employees living in the Bay Area
Competitive stock options

Member of Technical Staff, Infrastructure Data & Analytics

We are seeking experienced Infrastructure Data & Analytics Engineers to join our...

Location

United States , Multiple Locations; Mountain View; San Francisco Bay area; New York City metropolitan area

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, or related technical field AND 8+ years technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment AND 6+ years experience with distributed data processing frameworks and large-scale data systems
OR equivalent experience
Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment AND 10+ years experience with distributed data processing frameworks and large-scale data systems
OR equivalent experience
Proven technical leadership in data engineering, analytics platforms, or large-scale telemetry systems
Hands-on experience with ETL orchestration frameworks such as Airflow, Dagster, or similar
Strong communication skills
can explain complex systems clearly to senior leader

Job Responsibility

Act as the technical lead and owner for infrastructure analytics across compute, storage, and networking
Design and build durable, scalable data pipelines that ingest telemetry from clusters, schedulers, health systems, and capacity trackers into Data Warehouse
Define and standardize core metrics and semantics (e.g., utilization, occupancy, MFU, goodput, capacity readiness, delivery-to-production)
Architect and maintain self-service dashboards and APIs for fleet, cluster, and squad-level visibility
Partner closely with stakeholders across Supercomputing Infra, Researchers, Strategy and Executives to ensure metrics reflect operational and business reality
Implement robust and fault-tolerant systems for data ingestion and processing
Lead data architecture and engineering decisions, applying strong technical judgment to proactively shape executive-level discussions and decisions
Identify data gaps and instrumentation issues
drive fixes by influencing upstream engineering teams
Establish data quality, validation, documentation, and governance so metrics are trusted and repeatable

Fulltime

Data Architect

The Data Architect will be responsible for designing, developing, and implementi...

Location

United States , Andover, Massachusetts

Salary:

155500.00 - 376000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

15+ years of relevant experience in the industry delivering technical and business strategy at an advanced/strategist level
Bachelor's, Master's, or PhD degree in Computer Science, Information Systems, Engineering, or equivalent
Strong understanding of data architecture, cloud infrastructure, and data management technologies
Proven experience driving innovations in data solutions and the productization of advanced development activities
Must have a track record of architecting, building, and deploying mission-critical, highly distributed, data-centric applications and solutions
Experience with at least one major IaaS and/or PaaS technology (OpenStack, AWS, Azure, VMware, etc.), including defining and scripting full topologies
Must be able to work in a global, complex, and diverse environment

Job Responsibility

Designing, developing, and implementing robust data solutions to support business objectives
Collaborating with cloud and data architects to design and set standards for the HPE GreenLake Hybrid Cloud platform and data solution portfolio
Driving evaluation of data storage and integration solutions and conducting research on platform behavior under different workloads
Designing and implementing data pipelines
Optimizing data storage solutions
Establishing best practices for data integration and analysis
Leading advanced development teams building proof-of-concept implementations for data platforms and solutions
Acting as a cross-functional product and technical expert for hybrid cloud and data technologies
Providing consultation, design input, and feedback for product development and design reviews across multiple organizations
Guiding and mentoring less-experienced staff members

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs catered to career goals
Unconditionally inclusive work culture that celebrates individual uniqueness
Flexibility to manage work and personal needs
Opportunities for professional growth and development

Fulltime

Salesforce Technical Analyst

Develops technical documentation, designs, analyzes, tests, provides end user su...

Location

United States , Phoenix

Salary:

Not provided

Blue Cross Blue Shield of Arizona

Expiration Date

Until further notice

Requirements

1 year of college-level coursework in system requirements design and interpretation and/or support of production systems (Lev 1)
3 years of experience in computer technology and/or information systems (Lev 2 – 4)
2 years of experience in data analysis, data management and integration, extracting and analysis reporting. (Lev 2-4)
High-School Diploma or GED in general field of study (All Levels)

Job Responsibility

Develops technical documentation, designs, analyzes, tests, provides end user support and training for new applications and data structures
and provides post-implementation review for systems and reporting to support customers and management.
Track and resolve basic or routine processing problems, coordinating with all areas.
Research, analyze, track and resolve basic production problems.
Develop business objectives, processing requirements, and technical specifications.
Analyze files and map data from one system to another.
Responsible for production cycles, solving production incidents and notification of problems.
Write SQL queries needed for production support.
Develop basic test data.
Process test files and analyze test results.

Fulltime

Staff Machine Learning Engineer

Join PagerDuty as a Staff Machine Learning Engineer to tackle complex problems, ...

Location

Canada , Toronto

Salary:

156000.00 - 232000.00 CAD / Year

PagerDuty

Expiration Date

Until further notice

Requirements

8+ years of experience building, designing, and evolving data architecture for large-scale systems
Excellent communication skills
Experience working with Product teams, ensuring and driving a timely delivery
Have a deep understanding of the trade-offs to be considered when designing and delivering machine learning solutions to production
Experience leading cross-team architecture discussions, building technical prototypes, and driving the adoption of best practices across diverse teams
Demonstrated experience with data engineering processes, working with unstructured data and cloud-based data infrastructures
Passionate about ML engineering and interested in driving discussions with stakeholders and executives

Job Responsibility

Build and improve the capabilities of the data platform that enable and accelerate the production of ML/AI-based solutions
Drive and define standards for AI/ML across the organization
Provide guidance, technical leadership, and mentoring to other members of the team
Mentor junior members and participate in scaling up the existing team
Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt
Anticipate technical demands on the data platform based on the organization’s roadmap and systematically drive the evolution of the architecture toward those ends
Develop a long-term plan for ML/AI investments

What we offer

Competitive salary
Comprehensive benefits package from day one
Flexible work arrangements
Company equity
ESPP (Employee Stock Purchase Program)
Retirement or pension plan
Generous paid vacation time
Paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent

Fulltime

Staff Data Engineer

We are looking for an experienced Staff Data Engineer proficient in Data infrast...

Location

Mexico , Mexico City

Salary:

Not provided

EarnIn

Expiration Date

Until further notice

Requirements

7+ years in designing, building, and maintaining the Data infrastructure, and the ability to lead complex projects and teams
Bachelor's, Master's, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience
Knowledge of Kafka
Proficiency in programming languages like Python and Scala
Strong knowledge of distributed computing frameworks, including Apache Hadoop and Apache Spark, and of cloud platforms such as AWS, Azure, and GCP
Deep understanding of database design, SQL, and NoSQL databases. Experience in managing large datasets and optimizing database performance
Proficiency in Git and Terraform, and experience in deploying continuous integration and continuous deployment (CI/CD) practices
Experience in managing event-driven systems (especially in Kafka ecosystems)
Expertise in developing and implementing data governance frameworks, policies, and procedures to ensure data quality, compliance, and effective data management practices
Deep understanding of data security principles, including encryption, decryption, and secure data storage and transfer protocol

Job Responsibility

Lead the enhancement of internal processes, focusing on scaling infrastructure, streamlining data delivery, and implementing automation to replace manual operations
Design and implement advanced infrastructure for efficient data extraction, transformation, and loading (ETL) using cutting-edge AWS and SQL technologies
Develop sophisticated analytical tools that leverage the data pipeline to deliver deep insights into critical business metrics such as customer growth and operational efficiency
Architect and manage extensive, sophisticated data sets to meet complex business needs and requirements
Engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges and advising on technical data issues
Make a meaningful impact on our community members' lives
Collaborate and mentor other senior engineers while providing thoughtful guidance using code, design, and architecture reviews
Contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success
Estimate and manage team project timelines and risks
Participate in hiring and onboarding for new team members

What we offer

healthcare
internet/cell phone reimbursement
a learning and development stipend
potential opportunities to travel to our Mountain View HQ

Member of Technical Staff, Data Infrastructure

Runway

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 20, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Member of Technical Staff, Data Infrastructure

Member of Technical Staff, AI Training Infrastructure

Member of Technical Staff, Cloud Infrastructure

Member of Technical Staff - Platform Engineer