In this pivotal role, you'll serve as the primary liaison between the platform engineering team and our developer community , including quantitative analysts, researchers, and front-office trading teams , ensuring the platform meets their complex development needs and continuously improves.

The Developer Platform team architects, engineers, and enhances the firm's developer’s toolchain and workflow. We collaborate closely with developers, quants, researchers, and front-office trading teams to ensure our platform provides a best-in-class development experience with the feel of native Mac/UNIX-like development.

This role sits at the intersection of product management and technical enablement, acting as the voice of the developer within the platform team.

Key Responsibilities:

• Build and maintain relationships with technologists and developers across the firm to deeply understand their workflows, pain points, and emerging needs

• Discover novel use cases and translate them into actionable product requirements for the platform engineering team

• Serve as the first point of contact for developer questions about the platform's environment, tooling, and capabilities

• Triage and reproduce issues reported by developers, driving initial diagnosis , including leveraging AI-assisted sessions for problem analysis , and escalating to the deeper technical engineering team when necessary

• Drive the roadmap and prioritization of platform enhancements in collaboration with engineering leadership

• Promote and evangelize the Linux developer platform , driving adoption and ensuring developers are aware of available features and best practices

• Manage project timelines, stakeholder communication, and delivery milestones for platform initiatives

Qualifications / Skills Required:

• Demonstrated experience in Technical Product Management, Technical Project Management, or Developer Relations/Developer Experience roles

• Strong communication and stakeholder management skills , ability to engage credibly with both highly technical developers and senior leadership

• Working familiarity with Linux desktop environments , comfortable navigating the platform, understanding developer workflows, and answering environment/tooling questions

• Conceptual understanding of containerization and orchestration (Docker, Podman, Kubernetes) and how developers leverage these tools in their workflows

• Familiarity with CI/CD concepts and tools (e.g., Jenkins, Git) , enough to understand developer pipelines and identify friction points

• Problem reproduction and triage skills , ability to recreate reported issues in the environment and clearly document/escalate to engineering with relevant context

• Experience leveraging AI tools (e.g., LLM-based assistants, copilots) to assist in problem diagnosis, research, and knowledge synthesis

• Basic scripting literacy (Bash, Python) , enough to read, understand, and run existing scripts; not necessarily write complex automation from scratch

Qualifications / Skills Desired:

• Familiarity with serverless compute concepts and cloud-native development paradigms

• Exposure to configuration management tools (e.g., Ansible) and image lifecycle management (e.g., Hashicorp Packer) , understanding what they do and how they fit into the platform, rather than hands-on administration

• Awareness of monitoring and observability tools (Prometheus, Grafana, ELK stack) from a user/consumer perspective

• Understanding of authentication and identity management concepts (e.g., Active Directory integration) as they relate to developer access and workflows

• Experience with agile project management methodologies and tools (Jira, Confluence, or similar)

• Strong communication skills working with engineering leadership, developer community, and stakeholders

• Bachelor’s degree in Computer Science or a related field

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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This role sits at the intersection of research and large-scale systems engineering: a builder who understands both the algorithms behind RL and the realities of distributed training and inference at scale. You'll wear many hats, from optimising rollout and reward pipelines to enhancing reliability, observability, and orchestration, collaborating closely with researchers and infra teams to make reinforcement learning stable, fast, and production-ready.

Responsibilities:

• Design, build, and optimise the infrastructure that powers large-scale reinforcement learning and post-training workloads.

• Improve the reliability and scalability of RL training pipeline, distributed RL workloads, and training throughput.

• Develop shared monitoring and observability tools to ensure high uptime, debuggability, and reproducibility for RL systems.

• Collaborate with researchers to translate algorithmic ideas into production-grade training pipelines.

• Build evaluation and benchmarking infrastructure that measures model progress on helpfulness, safety, and factuality.

• Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.

We're looking for someone with strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases. You should have a good understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.

Experience training or supporting large-scale language models with tens of billions of parameters or more is a plus. Familiarity with monitoring and observability tools (Prometheus, Grafana, OpenTelemetry) is also a plus.

Logistics:

• Location: This role is based in San Francisco, California.

• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.

• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.

• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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Responsibilities:

• Thorough, clear, concise documentation of new and existing standards, procedures, and automated workflows
• Championing of best practices and standards around infrastructure configuration and management
• Experience in creating internal products and managing their software development lifecycle
• Deployment, configuration, and management of infrastructure via infrastructure as code
• Working hands on with cloud infrastructure (AWS, Azure, and GCP)
• Working hands on with container infrastructure (Docker, Kubernetes, ECS, EKS, GKE, GAE, etc.)
• Configuration and management of Linux based tools and third-party cloud services
• Continuous improvement of our infrastructure, ensuring that it is highly available and observable

Minimum Requirements:

• Solid foundation of experience managing Linux systems in virtual environments (6+ years)
• Deploying and maintaining highly available infrastructure in one or more Cloud providers (5+ years, AWS or GCP preferred)
• Infrastructure as code using Terraform (4+ years)
• Creating, deploying, maintaining, and troubleshooting Docker images (4+ years)
• Scoping, deploying, maintaining and troubleshooting Kubernetes clusters (4+ years)
• Developing and maintaining an active codebase in Go, Python preferably (3+ years)
• Experience with PaaS technologies (5+ years, EKS and GKE preferred)
• Maintaining monitoring and observability tools (Datadog, Prometheus preferred)
• Thorough understanding of network infrastructure and concepts (VPNs, routers and routing protocols, TCP/IP, IPv4 and v6, UDP, OSI layers, etc.)
• Experience with load balancing and proxy technologies (Istio, Nginx, HAProxy, Apache, Cloud load balancers, etc.)
• Debugging and troubleshooting complex problems in cloud-native infrastructure.
• Slack native mentality.
• Bachelor’s Degree in Computer Science or a related technical discipline, or the equivalent combination of education, technical certifications, training, or work experience.

Abilities Required:

• Demonstrated ability to learn new technologies quickly and independently
• Strong technical, organizational and interpersonal skills
• Strong written and verbal communication skills
• Must be able to read, understand, and communicate complex problems and solutions in English over a textual medium (such as Slack)

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We are seeking an experienced Senior Technical Operations Lead to drive operational excellence across our Infrastructure Engineering organization.

As a Senior Technical Operations Lead, you will design and implement world-class operational processes, establish SRE best practices, and mentor technical teams to achieve exceptional reliability and efficiency.

Key Responsibilities:

SRE Leadership & Transformation

• Lead the design and implementation of SRE practices and tooling across Infrastructure Engineering

• Establish and cultivate an SRE-focused culture at Zoominfo

Operational Process Design & Governance

• Establish clear governance frameworks and procedural consistency

• Make decisions about process exceptions and/or changes to accommodate different team contexts

• Design and/or implement process automations using scripts and integrations

• Define functional requirements and goals for process automations

• Conduct hands-on and/or automated audits to ensure process adherence and identify improvement opportunities

Incident Management & Root Cause Analysis

• Design, implement, and continuously improve Incident Management and Change Management procedures that scale across the organization, using tools such as PagerDuty, Slack, Jira, ServiceNow, and custom integrations

• Lead and participate in root cause analysis sessions, driving teams toward systemic improvements rather than blame

• Design and execute incident dry runs and tabletop exercises to build organizational resilience

• Establish metrics and KPIs that measure incident response effectiveness and drive continuous improvement

Enable Data-Driven Decision Making

• Identify, define, and automate the tracking of operational KPIs and departmental metrics that matter, enabling senior managers to make informed decisions on the basis of data

• Build and maintain metric dashboards and automated reporting systems that provide real-time visibility into operational health

• Analyze trends and surface opportunities for optimization

Stakeholder Engagement, Training & Mentorship

• Build and maintain strong relationships with Engineering managers, Product Managers, and cross-functional stakeholders across geographies

• Maintain a feedback loop. Meet with stakeholders to understand process pain points.

• Influence others by fostering trust, leading by example, and inspiring them with your expertise and passion for reliability practices.

• Enhance internal knowledge of third-party tools such as Pagerduty, Datadog, and more, by educating Zoominfo employees on these tools.

Deliver training sessions that make Operational Excellence engaging and motivating for diverse audiences.

Required Experience & Qualifications:

• Bachelor’s degree in Software Engineering, Operations Management, or related field

• 7+ years of hands-on experience in technical operations, Site Reliability Engineering (SRE), Incident Management, or IT Service Management roles within SaaS or technical organizations

• Fluent English proficiency (written and verbal)

• Proven track record designing and implementing operational processes at scale

• Demonstrated expertise in SRE principles, practices, and tooling

• Strong data analysis skills with ability to define metrics, build or design dashboards, and use data to drive strategic decisions

• Proven ability to work effectively in a matrix organizational structure

• Ability and experience working with senior management at global organizations

• Hands-on experience with monitoring and observability tools such as PagerDuty and/or Datadog

• Familiarity with Jira, Confluence, Google Data Studio, or Tableau

• Experience with scripting and integrations (Python, JavaScript, Google AppScript, or similar)

• Background in SRE transformation or organizational process improvement initiatives

#LI-SS4 #LI-Hybrid

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As a Customer Support Engineer at Electronic Arts, you will work directly with Game Developer teams to resolve technical challenges and improve product quality. You will have experience of minimum 3 years working with customers and empathy for the customer experience.

Responsibilities

• Work directly with Game Developer teams to help them solve technical challenges
• Resolve issues involving project implementation, code error diagnosis, debugging, validation, and root cause analysis for the products/platforms assigned
• Build internal relationships with our development and product management teams to help us communicate the priorities of our customers
• Improve product quality by injecting fresh ideas and bringing innovations to existing products or platforms, building automation
• Develop additional software components for tasks associated with the projects/platforms, designing and debugging software applications
• Participate in projects that improve overall product and documentation quality
• Participate in product/platform testing and updates
• Achieve knowledge transfer through the delivery of training, knowledge sessions, mentoring
• Help increase the team efficiency by sharing knowledge, providing feedback about best practices, writing tools/utilities using AI stack
• Develop your technology skills and become a versatile IT professional
• Participate in schedule rotations and working shifts

Qualifications

• Experience of minimum 3 years working with customers
• Empathy for the customer experience
• Balance varying levels of priority and urgency
• Understand complex technical issues and manage to express them in simple and concise language
• Familiarity with database concepts (e.g. SQL Server, MongoDB)
• Experience around the following technology concepts - virtualization, operating systems and server administration (Linux, Windows), cloud infrastructure and services(AWS, Azure), networking (IP, routing, firewall, ACL's), coding/scripting (Python, Bash, Powershell), application and API endpoints, monitoring and observability tools (Grafana, Kibana)
• Qualification in Computer Engineering or relevant experience needed

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