About the Role

The Platform Infrastructure team at iCapital plays a critical role in ensuring that both production and development environments operate smoothly, securely, and reliably. This role leverages advanced cloud capabilities to support the Platform Infrastructure strategy of market agility and lean operating principles, with a strong emphasis on quality to meet the ever‑growing demands of our clients.

We are seeking highly collaborative, creative, and intellectually curious MLOps/DevOps Engineers with deep expertise in machine learning operations, cloud infrastructure, CI/CD automation, Kubernetes, and security. This role requires hands‑on experience designing, building, and operating scalable DevOps and enterprise‑grade MLOps platforms, including model lifecycle automation, observability, and governance.

As a Platform Engineer, you will wear multiple hats in a highly visible role, partnering closely with engineering, security, data, and business teams to deliver secure, reliable, and highly automated platforms that support both application and machine‑learning workloads.

Responsibilities

• Design, build, and operate MLOps pipelines supporting the full ML lifecycle (training, validation, deployment, monitoring).
• Enable production workloads for AI/ML and Generative AI systems, including LLM‑based services.
• Develop and maintain CI/CD pipelines for AI/ML services and supporting infrastructure.
• Build and manage cloud‑native infrastructure on AWS, with heavy use of Kubernetes and containerized workloads.
• Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform).
• Implement model versioning, experiment tracking, and artifact management across environments.
• Ensure reliability, scalability, observability, and cost efficiency of AI platforms.
• Partner with AI/ML engineers to operationalize models and standardize deployment patterns.
• Implement monitoring and alerting for system health, model performance, and drift.
• Enforce security, compliance, and governance requirements for AI workloads.
• Participate in incident response, root cause analysis, and continuous improvement initiatives.
• Document standards, best practices, and reference architectures for MLOps and AI infrastructure.

Required Qualifications

• 15+ years of experience in DevOps, SRE, or Platform Engineering, with AWS as a primary cloud.
• Experience supporting machine learning systems in production, including deployment and monitoring concerns.
• Hands‑on experience with machine learning platforms, particularly AWS SageMaker (required).
• Strong hands-on experience with Kubernetes, containerized workloads, and cloud networking.
• Proven experience building and operating CI/CD pipelines (e.g., GitLab CI, ArgoCD).
• Strong proficiency with Terraform and scripting/programming in Python or similar languages.
• Solid Linux, systems, and troubleshooting fundamentals.
• Excellent communication skills and ability to work across teams.
• Direct experience with MLOps platforms and tooling (model registries, experiment tracking, feature stores).
• Exposure to Generative AI / LLM workloads in production environments.
• Familiarity with data stores commonly used in ML systems (e.g., Postgres, DynamoDB, object storage).
• Experience operating in regulated or fintech environments.
• Background in cost optimization for compute‑intensive workloads.
• Strong written and verbal communication skills.
• AWS certifications are a plus.

Benefits

The base salary range for this role is $180,000 to $230,000 depending on experience.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

About the Role

iCapital is looking to hire an Assistant Vice President Technology Audit and Governance Engineer. This role will work closely with the Head of SDLC Governance and Internal Audit and various technology teams in governing the firm-wide SDLC and implementing, governing, and monitoring compliance of varied controls and policies, including providing support for the annual SOC 2 audit. In addition, the ideal candidate will share responsibility for performing administrative functions on Jira including user support.

Responsibilities

• Coordinate and perform internal audits of SOC 2 controls and policy compliance.
• Assist with governance of SDLC processes and associated tool configurations.
• Create and maintain documentation for processes followed and tools used.
• Develop, implement, and maintain SGIA processes.
• Support the annual SOC 2 audit.
• Assist with the administration of Jira and provide user support.

Qualifications

• 5+ years of technology operations experience
• Familiar with modern programming languages and frameworks, preferably Python. 
• Technical leadership and management experience is a plus 
• Familiar with cloud-based technologies (i.e. AWS, K8s, etc.)
• Able to work independently or as part of a team effort, as required 
• Experience with Python Scripting, GitLab, Git, Jira Administration, Vanta or other compliance monitoring tools, SOC 2 audits, controls testing or auditing, the automation of processes and SQL or MongoDB Query language
• Solid problem-solving and multi-tasking abilities
• Excellent verbal and written communication skills

Benefits

The base salary range for this role is $130,000 to $155,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

The role:

As a Staff Full Stack Engineer, you will serve as a cornerstone of technical leadership, driving the ideation, architectural design, and optimization of enterprise-scale, full-stack ecosystems. We are seeking a visionary with 8+ years of engineering depth and a proven track record of delivering complex, end-to-end solutions. In this role, you will bridge the gap between high-level business strategy and technical execution, championing engineering excellence while serving as a pivotal mentor and subject matter expert to the broader engineering organization.

What you’ll do: 

Engineering & AI Architecture

• Architectural Leadership: Architect and deploy sophisticated, end-to-end applications, leveraging deep expertise in interactive interfaces and complex data integration—including the orchestration of AI-native database functions like Snowflake Cortex.
• Agentic AI Integration: Partner with AI specialists to architect multi-agentic systems, implementing autonomous, stateful workflows designed to solve high-consequence, real-world business challenges.
• Data Orchestration: Design and automate high-performance real-time and batch data pipelines using enterprise orchestration tools such as Apache Airflow, ensuring seamless data liquidity across the stack.

DevOps & Operational Excellence

• Infrastructure as Code (IaC): Standardize deployment lifecycles and cloud infrastructure by implementing GitOps methodologies via ArgoCD, GitLab CI/CD, and AWS best practices.
• Workflow Optimization: Deploy and tune complex business process engines within enterprise frameworks, ensuring maximum reliability, scalability, and observability.

Product Ownership & Strategy

• Technical Decomposition: Lead the translation of ambiguous product requirements into rigorous technical specifications, overseeing the entire execution lifecycle from initial ideation to post-deployment optimization.
• Strategic Collaboration: Act as a technical bridge between Product, Design, and Engineering to deliver member-centric solutions while fostering a culture of continuous learning and growth.

Governance & Innovation

• Technical Stewardship: Drive engineering rigor through comprehensive code and design reviews, serving as a final decision-maker for critical architectural choices and software standards.
• Innovation Advocacy: Maintain a cutting-edge pulse on GenAI, LLM infrastructure, and emerging tooling; proactively translating industry trends into actionable product roadmaps and enhanced technical capabilities.

What you’ll need:

Education & Experience

• Academic Foundation: Bachelor’s or Master’s degree in Computer Science, Engineering, or a strictly related technical discipline.
• Professional Tenure: 8+ years of robust software engineering experience, with a specialized focus on architecting full-stack AI-driven product ecosystems.
• Proven Reliability: A distinguished track record of delivering production-grade, highly available cloud services that operate reliably at enterprise scale.

Technical Mastery

• Full-Stack Command: Advanced proficiency in the React and Node.js ecosystems, with a mastery of seamless front-to-back-end integration for bespoke enterprise applications.
• Data & AI Infrastructure: Extensive hands-on experience with modern database platforms—Snowflake preferred—including the utilization of Snowflake Cortex and advanced AI/ML integration patterns.
• Pipeline Orchestration: Deep expertise in designing and managing complex real-time and scheduled data pipelines using Apache Airflow.
• DevOps & GitOps: Comprehensive experience in Infrastructure as Code (IaC) and environment management, utilizing ArgoCD and GitLab CI/CD to drive automated, resilient deployment strategies.

Leadership & Influence

• Strategic Mentorship: Committed to the growth of the engineering organization through active mentorship, fostering a high-performance culture, and elevating the technical caliber of the team.
• Operational Excellence: A relentless advocate for engineering rigor, consistently challenging the status quo to drive continuous improvement in code quality and architectural standards.
• Cross-Functional Diplomacy: Exceptional communication skills with the ability to bridge technical and non-technical domains, driving consensus and decision-making among diverse stakeholders.
• Organizational Catalyst: A proactive leader who takes end-to-end ownership, champions a culture of innovation, and builds influential partnerships across the broader engineering community.

Nice to have:

• Advanced AI & LLM Implementation: Direct experience deploying and scaling production-level Generative AI solutions, specifically LLM-powered agents or Retrieval-Augmented Generation (RAG) architectures.
• Sector Expertise: Previous background in Fintech or high-throughput consumer-facing environments, with an understanding of the unique security and regulatory nuances involved.
• Cloud Proficiency: Advanced experience with AWS ecosystem services and a broad familiarity with modern cloud-native orchestration platforms.
• Architectural Rigor: A sophisticated understanding of latency, throughput, and scalability trade-offs, with the ability to optimize complex distributed systems for performance.
• Computer Science Depth: Strong conceptual mastery of diverse programming paradigms, including Object-Oriented (OOP) and Functional Programming, to ensure clean, maintainable, and modular codebases.
• Evolving AI Ecosystems: Experience navigating and integrating emerging AI workflow orchestration tools and third-party AI research platforms.

The role:

As a Senior Full Stack Engineer, you will serve as a primary contributor in the development, deployment, and optimization of enterprise-grade, full-stack custom applications at scale. The ideal candidate brings 5+ years of robust engineering experience, a distinguished history of end-to-end delivery, and comprehensive mastery of software design—ranging from intricate user interfaces and business workflows to foundational back-end data architecture. You will collaborate with cross-functional teams to define technical strategy, advocate for engineering excellence, and deliver high-impact solutions directly to our member community.

What you’ll do: 

• Architect, design, and build end-to-end user-facing software applications using rich interactive user-interfaces with your expertise working with information extracted from databases and APIs (including leveraging native database functions such as Snowflake Cortex for advanced AI workloads).
• Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices.
• Collaborate with the AI engineers on the team to implement multi-agentic AI applications, enabling autonomous, stateful, and collaborative agent workflows for complex, real-world problem solving
• Own technical decompositions of new product requirements; lead delivery from ideation to deployment and continual improvement.
• Deploy, optimize, and monitor complex business process workflows on enterprise frameworks 
• Automate real-time and batch data flows using orchestration tools such as Apache Airflow.
• Participate in code and design reviews, and make technical decisions for design and architecture of software solutions.
• Collaborate with Product, Design, and Engineering to deliver high-impact solutions and foster a growth-mindset environment.
• Stay current with the latest trends in software engineering, GenAI, LLM infrastructure, and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.

What you’ll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional software engineering experience, with a focus on full-stack frameworks and engineering to develop custom product delivery specializing in AI
• Solid devops and infrastructure-as-code experience using ArgoCD and GitLab for deployment, CI/CD, and environment management.
• Advanced proficiency in React, Node.js, and front-end–to–back-end custom app development.
• Extensive hands-on experience with database platforms - Snowflake strongly preferred, including advanced features, AI/ML integrations, and Snowflake Cortex.
• Deep expertise in orchestrating real-time and scheduled pipelines with Airflow.
• Track record of delivering high-quality, production-grade, scalable, and highly available cloud-based services.
• Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders.
• Willingness to take ownership, and champion learning and innovation within the organization.

Nice to have:

• Exposure to other cloud-native or AI workflow orchestration platforms.
• Experience with AWS
• Prior fintech or high-throughput consumer product experience.
• Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services. 

Areas of ownership:

• Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
• Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
• Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
• Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
• Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
• Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
• Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
• Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.

Who you are:

• 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
• A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
• Proficiency in at least one scripting or programming language like Python, Go, or Bash.
• Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
• Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
• Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
• A strong background in Infrastructure as Code (Terraform is highly preferred).
• Experience building self-service tools and platforms that empower specific development teams.

Our recruiting process:

TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser

Salary ranges includes OTE

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

About the Role:

We are looking for a Staff DevOps Engineer to join our DevOps team at K Health. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation.

What you will do:

• Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across K Health and enterprise partner environments.
• Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS.
• Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment).
• Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others.
• Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA.
• Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests.
• Lead development of AI-powered operations tooling and agentic infrastructure.
• Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts.
• Mentor junior DevOps engineers and establish team-wide engineering standards.

What we are looking for:

• 7+ years of experience in DevOps, platform engineering, or site reliability engineering.
• Deep, hands-on experience with Kubernetes and the surrounding ecosystem - Helm, Helmfile, ArgoCD, Kyverno, cert-manager, and NGINX Ingress.
• Extensive experience with Google Cloud Platform - GKE, Cloud SQL, Memorystore, Cloud Storage, IAM, and Workload Identity.
• Strong Terraform expertise: modular architecture, multi-environment provisioning, and automated testing.
• Advanced knowledge of GitLab CI/CD and GitOps practices.
• Proficiency in Python and/or Go.

Plus: 

• Advanced Bash scripting skills.
• Experience with secrets management solutions such as Akeyless or HashiCorp Vault.
• Experience with database administration across PostgreSQL, Redis, and MongoDB  -  including DR configuration and operational runbooks.
• Experience with Datadog or equivalent observability platform (APM, infrastructure, log management).
• Experience with Cloudflare for DNS, CDN, and security rules management.
• Demonstrated experience designing and executing disaster recovery programs, including failover testing and runbook authorship.

Bonus:

• Experience in highly regulated environments - SOC2 and HIPAA.
• Excellent communication skills with the ability to lead cross-functional infrastructure initiatives.
• Demonstrated leadership experience, including mentoring junior engineers.
• Experience with HPC or GPU cluster infrastructure, including Slurm..
• Experience building or operating AI agents or agentic infrastructure.
• Experience with microservices architecture and API gateway / reverse proxy patterns.
• Experience with AWS.

Benefits & Perks:  #LI-Hybrid

• Hybrid work schedule with weekly lunches and stocked fridges 
• Monthly social committees for company events
• 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days 
• Stock options for every full-time employee 
• Paid parental leave
• 401k benefit
• Commuter Benefits 
• Competitive health, dental, and vision insurance options 

About the Role:

Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations.

The Machine Learning & AI team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models at scale with low-latency and Service Level Agreements guaranteed by our platform.

As an MLOps Engineer you will partner with product, data science and ML platform engineers to build and maintain the infrastructure that powers the machine learning lifecycle. You will automate and refine the training, deployment, monitoring, and management of our ML models.

This role reports to the Senior Engineering Manager of Data Management Infrastructure.

Responsibilities:

• Build and Automate ML Pipelines: by owning robust CI/CD pipelines for automated model training, validation, deployment, and retraining.

• Productionalize Models: Build the process for packaging, containerizing, and deploying ML models as scalable, low-latency, and highly-available services.

• Monitoring and Operations: Implement and manage comprehensive monitoring for production models, tracking system health, data drift, and model performance degradation.

• Tooling and Infrastructure: Manage and evolve our MLOps toolchain, including model registries, feature stores, experiment tracking systems, and model serving platforms.

• Collaboration and Support: Partner with data scientists to understand model requirements and optimize them for production. Support software engineers in integrating with ML services.

• Best Practices and Governance: Champion and enforce MLOps best practices for reproducibility, versioning (data, code, model), testing, and governance.

• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 2+ years of software engineering or DevOps experience with a focus on MLOps, automation, and infrastructure

• 2+ years of experience programming in Python or Go

• Experience building and managing CI/CD pipelines (e.g., Github Actions, Jenkins, GitLab CI)

• Hands-on experience with containerization and orchestration (e.g., Docker, Kubernetes)

• Cloud platform experience (AWS, GCP) and familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation)

Preferred Qualifications:

• Experience with MLOps tools (e.g., MLflow, Kubeflow)

• Experience with the machine learning model lifecycle, from experimentation to production

• Experience with data processing frameworks (e.g., Spark, Dask, or Ray)

• Experience with low-latency no-sql datastores (BigTable, Dynamo, etc)

• Familiarity with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog, or ELK)

• Knowledge of data engineering pipelines and orchestration tools (e.g., Airflow, Prefect)

REQ-019522

#LI-hybrid

About the Role

The Quality Engineering team at The New York Times is hiring a QA Engineer. You will work with software engineers, DevOps, product managers, and designers to support quality across our web, mobile, and API platforms.

You will develop automated test frameworks, strengthen CI/CD reliability, and improve release confidence through scalable automation practices.

This role is hybrid and based in New York City, with an expectation of two days per week in the office. You will report to the Senior QA Manager.

Responsibilities:

• Design automated testing frameworks in Python for APIs, web, and mobile applications
• Develop and integrate automated test workflows into CI/CD pipelines
• Improve test reliability, execution speed, and coverage across environments
• Develop scalable test environments using containerization and cloud infrastructure
• Collaborate with engineering, DevOps, and product teams to define test strategies early in the development lifecycle
• Integrate logging, monitoring, and metrics into testing workflows to improve defect detection and release confidence
• Contribute to documentation and standards for automation and TestOps

Basic Qualifications:

• 3 years of experience in test automation, software engineering, or quality engineering
• Proficiency in Python and experience building maintainable automation frameworks
• 3 years of experience with modern test automation tools such as PyTest, Playwright, Selenium, or Appium
• 3 years of experience testing REST, GraphQL, or gRPC APIs
• Hands-on experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI)
• 3 years of experience with Docker and familiarity with Kubernetes
• 3 years of experience working in cloud environments (AWS, GCP, or Azure)

Preferred Qualifications:

• Experience with mobile test automation
• Experience with test environment provisioning and infrastructure-as-code
• Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude) in software development workflows
• Experience improving observability or quality metrics within engineering teams

#LI-Hybrid

REQ-019672

About the Role

As a member of our technical support engineering team, you will be on the front lines providing world-class customer service. As part of our engineering organization, you will become an expert on our product and partner closely with Metronome's engineers, customer success, solutions architecture, and growth teams, as well as our customers' developers.

Your primary responsibilities will include handling customer escalations through our ticketing system, using internal observability tools to diagnose and scope customer-facing issues, collaborating directly with customers via Slack and other channels, and developing internal tools and documentation to improve the support experience. Since we view every support escalation as an opportunity to learn, both as individuals and as a company, you will play a critical role in providing feedback to our product team on common challenges and influencing our product roadmap.

What You'll Do

• Provide technical guidance to customers’ developers on best practices for integrating with our APIs and utilizing our functionality.
• Troubleshoot any issues that arise from customers and diagnose any blockers. Escalate issues with customer context to the engineering team.
• Develop internal tools to automate customer workflows that are currently unavailable in our product. Provide feedback on recurring patterns and advocate for addressing feature gaps in the product.
• Design and assist in implementing a comprehensive knowledge base to assist customers with using our product.

Impact You'll Have

• Through your interactions with individual customers, you will help improve our product for everyone.
• Your work will play a crucial role in ensuring our customers' success and the continued effectiveness of their integration with Metronome.
• The Metronome team is more well-rounded because you bring your unique personality to work and help create an inclusive fun environment focused on helping our customers get the most value out of Metronome.

Qualifications

• 2+ years of work experience in a B2B customer-facing technical support organization or in engineering
• Experience working closely with engineering teams and providing technical feedback on customer issues
• Ability to debug and triage bugs and escalations from customers
• Can communicate technical capabilities of the product to customers
• Experience writing scripts or internal tools using APIs, and functional knowledge of SQL
• Strong written and verbal communication skills, with the ability to break down complex technical concepts clearly
• A mindset of customer empathy and ability to solve challenging problems

Bonus points

• Experience as an early or founding member of a support team, including building processes from scratch
• Startup experience and familiarity with scaling a support team
• Programming experience in one or more of Typescript, Python, or Ruby
• You have worked on modern enterprise software which is business critical
• Experience creating knowledge base articles and internal documentation
• Familiarity with at least one ticketing system, such as Pylon, Zendesk, Front, or similar

Compensation

The estimated base salary range for this role is $137,000 - $205,600. In addition to your base salary, Metronome offers a competitive total rewards package, including but not limited to, market-benched equity, sales incentive pay (for eligible roles), comprehensive health benefits, and other benefits listed below.

The actual base salary will vary based on factors including market value, individual qualifications objectively assessed during the interview process, and previous experience. The listed range above should serve as a guideline and may be modified at any time.

We believe that compensation reflects the expected impact you will have at the company, relative to the market value of your role. We also conduct an annual pay audit to ensure pay is fair, indexed to market value, and that pay takes into account continued performance at Metronome. If you would like to learn more about our philosophy or about why we are all billing nerds, send us a message. We’d love to talk!

About the Role

We're looking for a software engineer to join our Source Control and Governance team within our Developer Experience group. In this role, you'll design and build the tooling and automation that keeps our AI compute and bare metal infrastructure platform compliant, secure, and audit-ready.

You'll work across major compliance frameworks (SOC 2, SOX, ISO 27001), writing policy-as-code, building compliance pipelines, integrating security scanning into CI/CD, and automating evidence collection workflows. This is a collaborative, high-impact team where your engineering work directly supports our ability to serve enterprise customers and meet evolving regulatory requirements.

What You'll Do

• Design and build automated compliance pipelines that enforce policies on infrastructure changes and compute provisioning, bringing a CI/CD-driven approach to governance workflows.
• Implement policy-as-code using tools like OPA/Rego, Conftest, or InSpec — ensuring compliance rules are version-controlled, peer-reviewed, and enforced automatically across environments.
• Automate audit evidence collection for SOC 2, SOX, and ISO 27001, replacing manual processes with continuous pipelines that produce timestamped, immutable artifacts.
• Build and maintain compliance dashboards and reporting to surface posture scores and framework coverage for internal stakeholders and customers.

What We're Looking For

• 7+ years of software engineering experience.
• Demonstrated mastery of Go or Python, including concurrency primitives, memory management, and performance optimization at scale
• Experience designing and building CI/CD pipelines using tools like GitHub Actions, GitLab CI, Jenkins, or Buildkite, with a solid understanding of pipeline architecture and design patterns.
• Familiarity with Linux systems and networking fundamentals.
• A self-directed working style with the ability to take ownership of workstreams on a small, collaborative team.

Nice to Have

• Experience with policy-as-code tools (OPA/Rego, Sentinel, Checkov, InSpec).
• Familiarity with compliance frameworks such as SOC 2, SOX, ISO 27001, or NIST CSF — you don't need to be an auditor, but an understanding of controls and why they matter goes a long way.
• Background in cloud infrastructure, bare metal, or compute platform environments.

Why This Role

As an AI compute provider, we operate in a space where the regulatory landscape is actively evolving. That means the work here goes beyond maintaining a static set of controls — you'll be building the systems that define how AI infrastructure compliance works in practice. You'll ship tooling that has a direct line to enterprise customer trust, and you'll help solve problems that don't have established playbooks yet.

This is a small team with a high degree of autonomy, meaningful greenfield projects, and real opportunity to grow as the space grows around you.

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do

As a Senior Engineer in Compute Services, you will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and our customer platform. If you’re passionate about GitOps, KubeOps, DevOps—really, all the ops—this role could be a great fit for you!

• Design, develop, and maintain automated tooling to provision Kubernetes control planes on bare-metal
• Use Python, Golang, and Bash to create tooling and go operators
• Perform day 2 lifecycle tasks and maintenance on running clusters
• Identify gaps and implement fault-tolerant architectures
• Optimize reliability using the Grafana ecosystem
• Design automated testing to validate build quality and stability
• Participate in an on-call rotation every two months serving as point of contact

Who You Are

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

• Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, Kubeception, Kubespray, or similar
• Demonstrated ability debugging complex kubernetes cluster issues and carrying out upgrades
• Proficiency in Golang, Bash, and Python
• Advanced Linux OS troubleshooting skills
• Extensive experience with Ansible
• Advanced DevOps experience (e.g., GitLab CI, GitHub Actions)
• Demonstrated ability to collaborate effectively on shared codebases
• Excellent documentation skills and high attention to detail
• Strong analytical and problem-solving abilities
• Experience participating in an on-call rotation to support production services

Preferred Qualifications

• Bare-metal OS provisioning experience
• Kubernetes operator coding experience
• Advanced Linux networking expertise
• AWX/Ansible tower knowledge

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools
• Fluent in written and spoken English and French

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Act as a technical advisor to 3 primary enterprise accounts, ensuring successful product adoption and effective usage of the Datadog platform.
• Lead enablement and adoption sessions across core product areas tailored to your customer’s architecture and business needs.
• Analyze customers’ IT Operations environments and workflows to recommend configuration, product usage, and performance improvements.
• Deliver technical business reviews, health checks, and account maturity assessments, contributing to customer QBRs with impactful recommendations.
• Escalate product issues appropriately and advocate for your customers’ needs with Datadog’s Product and Engineering teams.
• Create executive-level summaries and insights that tie platform usage to business outcomes.
• Participate in internal TAM strategy sessions and contribute to team learning through feature presentations, case studies, or best-practice sharing

Who You Are:

• You have 2+ years of experience in a technical customer-facing role (TAM, Solutions Architect, SRE, DevOps Engineer, or similar) within the cloud or observability space.
• You’re confident with at least two public cloud platforms (e.g. AWS, Azure, GCP) and have hands-on experience with infrastructure or application monitoring.
• You’re familiar with scripting or automation tools (e.g. Python, Bash, Terraform, Chef/Puppet).
• You have working knowledge of CI/CD pipelines and containerization tools (e.g. Jenkins, GitLab, Docker, Kubernetes).
• You excel at communicating technical concepts to both technical and non-technical stakeholders, and can adapt your style for individual contributors or exec audiences.
• You’re able to work with minimal guidance on customer enablement, issue triage, and product adoption strategies.
• You are comfortable traveling up to 25–30% of the time as needed (via auto, air, or train).
• Previous experience using Datadog or other cloud monitoring tools is a strong plus

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding program
• Generous global benefits package
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, including Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Location: USA Remote Status: Fully Remote (#LI-Remote)

LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.

Position Overview

We are looking for a highly motivated and skilled Full Stack Software Developer to join our engineering team. You will play a key role in designing, developing, and maintaining our next-generation applications. This position requires a strong focus on both back-end and front-end development, working with our core stack to deliver performant and scalable solutions.

You Will: Key Responsibilities & Impact

• Design, develop, and deploy scalable back-end services.
• Build responsive and intuitive front-end user interfaces.
• Collaborate with product managers, designers, and other engineers to define and implement new features.
• Maintain and improve the performance, quality, and responsiveness of existing applications.
• Write clean, well-tested, and maintainable code.
• Troubleshoot, debug, and upgrade existing systems.
• On call rotation

You Have: Required Skills & Qualifications

• Proven professional experience with NodeJS for back-end development.
• Familiarity with relational and NoSQL databases, specifically Couchbase.
• Solid understanding of software development best practices, version control (Git), and CI/CD pipelines.
• Required cloud deployment experience, preferably Google Cloud Platform (GCP), but AWS or Azure experience is also acceptable.

Ideal & Preferred Skills:

• Strong experience with our current stack: NestJS (for back-end) and Vue (for front-end).
• Experience with modern front-end frameworks such as React or Angular.
• Experience with conversational AI/large language models; Claude.
• Experience with internationalization, localization, and accessibility.

Will be expected to use:

• Programming Languages: JavaScript/TypeScript (NodeJS)
• Back-end Framework: NestJS
• Front-end Framework: Vue
• Database: Couchbase
• Version Control: GitLab
• Deployment: Docker, Kubernetes (or similar cloud deployment tools)
• Collaboration: Agile/Scrum methodologies, Jira, Confluence

The salary range for this role will be between $120,000 to $135,000 USD. Final compensation will be determined by a variety of factors, including, but not limited to your location, skills, experience, education, and/or professional certifications.

Our Benefits & Perks

We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees.

🏥 Health & Wellbeing

• Medical, Dental, and Vision Insurance: Comprehensive plans to support your health needs.

Wellness Resources: Access to wellbeing resources and programs including our EAP plan.Health & Mental Support: Access a confidential and free Employee Assistance Program (EAP), providing professional counseling.

💰 Financial Security & Growth

• 401(k) Retirement Plan: To help you plan for your financial future by offering both the plan and a 4% employer match (100% match on the first 3% contribution and 50% match on the next 2% contribution)

HSA & FSA Plans:  To help you plan for health related expenses on a pre-tax basis

• Employee Stock Purchase Program (ESPP): Participate and receive a discount on company shares, allowing you to directly share in LivePerson's success and growth.
• Additional Insurances: Basic and supplemental  life insurance,  Accidental Death & Dismemberment (AD&D) insurance, long-term and short-term disability insurance coverage, legal plan, identity theft protection plan, and critical illness supplemental insurance.
• Development: Access to internal professional development resources.

👨‍👩‍👧‍👦 Time Away & Family Support

• Flexible Paid Time Off (PTO): Discretionary PTO package for flexible days off with manager approval.
• Paid Public Holidays.
• Generous Parental Leave Policy: Including maternity/paternity support and fertility services.

💻 Workplace Flexibility

• Remote-First Model: This role is fully remote (#LI-Remote), offering excellent work-life balance and flexibility. We also maintain dedicated WeWork space for those who wish to meet colleagues or collaborate in person.

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson: Equal Opportunity Employer

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer (EOE). We believe that diverse perspectives drive innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by US Federal, State, or Local law.

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable accommodations to job applicants with disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. The phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information, and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com   

The Role - Senior Analytics Engineer 

We are hiring a Senior Analytics Engineer on our Enterprise Technology team to own and scale the semantic and presentation layers of our data platform. 

This is a hands-on individual contributor role focused on building high-quality, scalable data models and defining standardized metrics across the business. You will sit at the intersection of data analytics and business stakeholders, ensuring our data is structured for both performance and usability. 

You will directly influence how data is consumed across Product, Commercial, Finance, and Operations, enabling consistent, self-service analytics at scale. This role is expected to elevate data from a reporting function to a core business enabler and revenue driver. You will design data models, metrics, and analytics capabilities that directly influence commercial outcomes, product performance, and operational efficiency. 

What You Will Do 

Own the Semantic & Presentation Layer 

• Design and maintain core data models and metrics used across the business 

• Establish a single, standardized layer of business logic for reporting and analytics 

• Ensure consistency in KPI definitions across teams 

Build Scalable Data Models 

• Develop and optimize models in dbt (or equivalent) on top of Snowflake 

• Structure data for performance, reusability, and clarity 

• Partner across the business to improve pipeline efficiency and reliability 

Drive Self-Service Analytics 

• Create intuitive, well-documented datasets that reduce reliance on analysts 

• Improve adoption of BI tools (Sigma, or similar) 

• Enable business users to explore data confidently without duplication of logic 

Define the BI & Metrics Strategy 

• Standardize metric definitions and governance across domains 

• Contribute to data modeling best practices and design standards 

• Support the evolution toward AI-enabled analytics and semantic layer exposure 

Drive Business Impact Through Data 

• Partner with Product, Commercial, and Finance teams to define metrics that directly influence revenue, margin, and customer outcomes 

• Translate business strategy into measurable data models and KPIs that inform pricing, performance, and growth decisions 

• Identify opportunities where improved data modeling and analytics can unlock new revenue streams or optimize existing ones 

• Ensure analytics outputs are actionable, not just descriptive, with clear linkage to business decisions 

Mentorship & Influence 

• Drive best practices in SQL, modeling, and BI design 

• Partner with stakeholders to align on definitions, priorities, and data strategy 

Qualifications 

Experience 

• 6+ years in analytics engineering, BI engineering, or data engineering 

• Experience working in a modern cloud data stack (Snowflake preferred) 

Technical Skills 

• Demonstrable experience of, and technical proficiency in, some or most of DBT Cloud, Databricks, Snowflake, Gitlab, Fivetran. 

• Strong experience with BI tools (Sigma etc.) 

• Deep understanding of: 

• Dimensional modeling 

• Semantic layer design 

• Data warehousing best practices (Snowflake)  

• Demonstrable experience extracting data from APIs to surface to raw layers in data warehouses 

Data & Product Thinking 

• Ability to translate business questions into clean, reusable data models 

• Experience defining and governing business-critical metrics 

• Focus on performance, usability, and long-term scalability 

Execution & Influence 

• Strong stakeholder management across technical and business teams 

• Proven ability to drive adoption of self-service analytics 

• Ownership mindset with a bias toward simplification and standardization 

What Success Looks Like 

• A trusted, centralized semantic layer used across the company 

• Clear, consistent KPI definitions with no duplication or conflict 

• Increased self-service adoption across business teams 

• Reduced time to insight for Product, Commercial, and Operations 

• Scalable foundation for AI-driven analytics and reporting 

• Data is consistently used to drive revenue growth, margin improvement, and product performance decisions 

• Business stakeholders rely on the data platform to make decisions, not just monitor results 

• Analytics outputs are directly tied to commercial outcomes and measurable business impact 

What’s in it for you?  
 
The salary for this role is based on an annualized salary range of $165,000 – 180,000. 
This role will also be eligible to take part in Genius Sports Group's benefits plan.    
 
Our benefits include health insurance, skills training and much more, depending on the location. We also offer a host of softer benefits, including many social events throughout the year such as summer and winter holiday parties, monthly team building events, sports tournaments, charity days and wellbeing activities. For more details on the compensation and benefits package, please get in touch with our Talent team.   
  

How we work  
 
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. This role is based in NYC and is required to work from our office 4 days a week.  
 
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.   
 
One team, being brave, driving change    
 
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Diversity | Genius  
 
Let us know when you apply if you need any assistance during the recruiting process due to a disability. 

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

What You’ll Do

Security Platform Engineering

• Design and implement scalable infrastructure supporting HIPAA, SOC 2, and ISO 27001 compliance
• Build and maintain systems for identity, authentication, and access management (Okta / GCP IAM / Auth0/ OPA)
• Implement observability and anomaly detection across microservices, data stores, and SaaS platforms
• Establish Zero Trust principles and enforce least-privilege access company-wide
• Develop compliance observability dashboards and automated evidence collection

Security Automation & Tooling

• Create self-service security tools that integrate with developer workflows (GitLab CI/CD, Terraform)
• Automate onboarding/offboarding, access reviews, and approvals
• Integrate software-supply-chain security (SBOM, dependency scanning)
• Develop or adopt AI-assisted security tooling to proactively identify risks
• Automate policy enforcement, SAST/DAST scans, and compliance verification

Application & Data Security

• Lead threat modeling and security architecture reviews for new products and services
• Partner with product and data teams to embed secure-by-default design patterns
• Ensure encryption, access tracking, and secure data handling across PHI workflows
• Contribute to incident response, post-mortems, and continual improvement of security posture

Leadership & Collaboration

• Act as Maven’s technical authority for security engineering
• Mentor peers and promote secure coding and architecture practices
• Partner cross-functionally (Engineering, Compliance, Clinical, Legal) to align on security strategy
• Champion an engineering culture of transparency, accountability, and continuous improvement

What You’ll Bring

Required

• 8+ years of software engineering experience, including 3+ in security infrastructure or application security
• Proven ability to design and implement large-scale, distributed, cloud-native systems
• Strong coding proficiency in Python, TypeScript, Go and/or Rust
• Deep understanding of cloud security (GCP preferred; AWS/Azure welcome)
• Experience with Kubernetes, containers, and infrastructure-as-code (Terraform)
• Familiarity with security testing frameworks and secure SDLC principles
• Excellent communication and documentation skills

Preferred

• Expertise in Zero Trust architectures, authentication/authorization frameworks, and data-loss prevention
• Experience with security compliance automation (SOC 2, ISO 27001, PCI-DSS, NIST)
• Background in data security telemetry and threat detection
• Familiarity with AI/ML security and AI-assisted analysis tools
• Exposure to supply-chain security and CI/CD pipeline hardening
• Certifications (CISSP, GCP Professional Cloud Security Engineer, OSCP) a plus

What Makes You a Great Fit

• You take a pragmatic, automation-first approach to solving security problems
• You balance rigor with velocity, enabling teams to move quickly without compromising trust
• You communicate clearly with both technical and non-technical stakeholders
• You’re curious, adaptable, and eager to lead initiatives from concept to production
• You care deeply about our mission—building safer, smarter healthcare for women and families

The base salary range for this role is $221,000 - $260,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.

Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week  (Tuesday, Wednesday, Thursday). For those based in Boston, DC, Chicago, Seattle, and San Francisco, we encourage in-person collaboration by requiring team members to attend monthly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction.

Polar Operations LLC (dba IMC Markets) has multiple openings for Python Software Engineer (REQ#4461661101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Implement software features and components for IMC's trading systems (25%).
• Design software solutions independently and make architectural decisions (10%).
• Debug and fix software issues in trading systems (5%).
• Identify complex multi-component issues, perform root cause analysis, and implement preventative solutions (5%).
• Ensure code quality and system reliability through comprehensive automated testing (10%).
• Contribute to the automated testing framework, own critical trading system components, and ensure reliability, performance, and scalability across regions (5%).
• Participate in code reviews (10%).
• Monitor system performance and trading operations (5%).
• Collaborate with traders and other teams to understand requirements and deliver solutions (10%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Mentor and guide junior developers and interns, helping them understand IMC's systems and development practices (10%).

Partial telecommuting permitted. Multiple positions available. Requisition #: 4461661101

Your Skills and Experience

This position requires a Bachelor’s degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.

Must have at least one (1) year of experience in each of the following skill(s):

• Applying analytical and engineering techniques to solve complex problems programmatically;
• Programming with Python;
• Developing and implementing algorithms and data structures;
• Software development lifecycle and best practices;
• Designing and developing software applications in a collaborative, cross-functional environment;
• Experience with DevOps, databases, big data, or frontend frameworks;
• Experience with Docker, Kubernetes, and Linux environments;
• Experience working with financial data;
• Foundational knowledge of quantitative trading concepts and equity/index options;
• Exposure to web/API frameworks such as FastAPI and React;
• Experience with automated testing and CI/CD pipelines;
• Experience collaborating with trading desks and developing software for use in a quantitative trading environment;
• Experience with the following tools: Team City, JIRA ticket management, Gerrit code review tool, GitLab, uv, Gitlab CI, py-spy, memray, and Python Packaging; and
• Experience with the following libraries: Pandas, Polars, NumPy, Tensorflow, Scikit, scikit-learn, cvxpy, and Pytest.

#LI-DNI

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

The SupportX team is dedicated to building the future of fan support. We treat support as a product, owning the full end-to-end experience- from AI-powered chat and voice interactions to agent tooling, self-service deflection, and integrations with SeatGeek's order management, fulfillment and financial systems. 

We are in the process of building new foundations which will boost fan outcomes driven by our AI support agent, increase self-service rates, reduce contact volumes, and empower our human experts to deliver highly effective white-glove service. As manager, you’ll be the technical leader of this effort, guiding the team as we define, build and optimize a support experience for fans that is truly best-in-class. Your role will be critical in shaping the team’s roadmap, enhancing fan outcomes and driving faster, more efficient support workflows.

What you'll do

• Manage a team of Backend, Frontend and applied AI and automation engineers
• Own the technical vision for SeatGeek’s core support tools (both custom + Saas) and integrations
• Rapidly build and iterate tools to boost fan experience, and maintain a high standard of operational excellence across the platform
• Perform code and architecture reviews, and provide technical and design feedback to the team
• Provide regular job performance feedback, hold one-on-ones, and provide career development support to your direct reports
• Work with your Technical and Product counterparts to form a compelling vision and direction for the team that aligns with organizational and business goals
• Select new and work with existing technology vendors when necessary. You constantly make build or buy decisions together with your team
• At times, roll up your sleeves to deliver features and iterate across the platform
• Communicate technical and product decisions to the right people, resolve blocking issues, and collaborate with other leaders across the organization
• Play an active role in our recruiting process, helping us grow our engineering team in any way you can

What you have

• 5+ years as an engineer in a role that was mostly about writing code
• 2+ years of experience as an engineering manager of productive, motivated teams
• Proven track record leading teams to ship industry-leading UX that meaningfully elevates high-stakes customer experiences
• Preferred if you've contributed to end-to-end customer support experience software at a marketplace product organization
• You’ve successfully built and led lean teams, ensuring they’re productive, motivated, and capable of delivering impactful results
• You’re able to foster safe, collaborative & inclusive environments, where engineers feel empowered to do their best work
• You're comfortable operating without a playbook — defining the architecture, the team's ways of working, and the roadmap simultaneously
• You're able to break down complex technical concepts and explain them clearly to non-technical audiences, accurately representing the team's work to a wide range of stakeholders
• Knowledge of the technology industry and customer support tools + workflows to help your team make good tooling and framework decisions to set them up for success
• You understand how to lead by setting context, facilitating collaboration, and getting buy-in between cross functional partners in product, design, engineering and leadership
• You’ve worked as an Engineer in the past, are familiar with the challenges of that role, and preferably have had hands-on experience with the following:
• Custom tools to increase support agent efficiency and create delightful fan outcomes
• AI agent optimization - building the tools, methods, workflows of an empowered + effective customer service agent

Our stack

Experience with every technology listed isn’t expected, we’ve included them for transparency. What matters most to us is your core engineering skills and ability to learn, not deep expertise in any one tool or language.

• Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
• Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab
• Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB
• Streaming & workflows: Kafka, Flink, Airflow, Temporal
• Saas: Workato, Customer Support / Help Center tools (Zendesk, Sierra)
• AI Tooling: Claude Code, Codex, LLMs

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Eligible for the SG discretionary annual bonus based on individual and company performance
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $171,000-$248,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings.

To review our candidate privacy notice, click here.

#LI-Remote

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

We’re building an awesome entertainment ecosystem where fans have effortless access to incredible live experiences, while sports teams, venues, and shows have unprecedented access to their audiences – because everyone should expect more from the ticketing industry.

Open roles for new graduates

We are looking for the best and brightest Spring/Summer 2026 college graduates to help us make live entertainment even better! Experience is preferred, but not required – in fact, we look forward to supporting you by teaching you new technologies and mentoring you in software development craft as a member of our world-class engineering team. 

We have roles open in the following technologies: 

• Backend (Python, Go, C#)
• Frontend Web (Typescript + React)
• Mobile (Kotlin, Swift)
• Platform (AWS, Docker, Python, Go)

What you'll do

• Solve unique and challenging customer problems
• Work with leading-edge tech in the cloud or on web and mobile
• Help scale our software as we grow our booming business
• Take on the challenges of building software for a many-sided marketplace
• Empower decision-making at a rapidly growing data-driven company 
• Run experiments and evaluate new technologies that will determine the future of our business for years to come
• Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand

What you have

• You are a college student graduating in the Spring/Summer of 2026, ideally in computer science or a related degree
• Experience in building software. We'll be interested in hearing about what you've built and how you built it
• Problem solving abilities, adept at handling technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including venue mapping, inventory tracking, and event matching. We'll be excited to hear about the problems you've solved
• Passion for software craftsmanship and product. You hold yourself and your code to a high standard
• Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others

Our stack

You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem-solving. Tools can be learned.

• Languages: Python, Go, C#+.NET Core, React+Typescript, Swift, Kotlin
• Datastores: Postgres, Redis, Elasticsearch
• Cloud: AWS
• Version control: Gitlab

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Eligible for the SG discretionary annual bonus based on individual and company performance
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

 **Please note you are expected to come into the SeatGeek New York City Office at least 3 days a week**

The salary range for this role is $110,000-$130,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

#LI-Remote

As part of a lean Business Team, you’ll work directly with a range of functions and their leads to design, optimize and execute tools and processes for business operations and business development. You will also be responsible for both internal and external communication to partners and vendors regarding our business compliance and trading operations. 

You’ll conduct research to help evaluate new business opportunities, and build dashboards, predictive models, and other tools to inform data-driven business decisions. 

COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.

Qualifications
We’re looking for highly analytical people with 0-5 years of experience who want to help build the research-driven trading firm of the future. The individual wants to help manage our business operations for the existing business (research, technology, and operations) functions by improving communication, code and any other necessary elements.

To do that, you’ll need the following qualities:

• Proficient at data mining, extraction and organization of raw format data from various sources such as accounting systems, gitlab, and more. Experience, or a desire to learn, Tableau & other user interface tools that require data-input and entries is helpful as well.
• Proficient in Python coding, especially in scripting and automation
• Technically capable in other areas of computing, such as algorithmic design in C++ or has a strong desire to become proficient in it. 
• Detail oriented and can easily identify key influencing factors; able to quickly retain historical highlights to focus on future improvements.
• Results driven: able to drive tasks to completion in a timely manner.
• Ability to multitask: iterate quickly towards a better solution while not dropping the ball on other concurrent functions.
• Analytical: ability to understand the full scope and depth of the issue, able to solve for the long-term.
• Strong self-awareness and high emotional intelligence to assist with interpersonal and communication improvements. 
• Must work well independently

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As part of a lean Business Team, you’ll work directly with a range of functions and their leads to design, optimize and execute tools and processes for business operations and business development. You will also be responsible for both internal and external communication to partners and vendors regarding our business compliance and trading operations. 

You’ll conduct research to help evaluate new business opportunities, and build dashboards, predictive models, and other tools to inform data-driven business decisions. 

Qualifications
We’re looking for highly analytical people who want to help build the research-driven trading firm of the future. The individual wants to help manage our business operations for the existing business (research, technology, and operations) functions by improving communication, code and any other necessary elements.

To do that, you’ll need the following qualities:

• Proficient at data mining, extraction and organization of raw format data from various sources such as accounting systems, gitlab, and more. Experience, or a desire to learn, Tableau & other user interface tools that require data-input and entries is helpful as well.
• Proficient in Python coding, especially in scripting and automation
• Technically capable in other areas of computing, such as algorithmic design in C++ or has a strong desire to become proficient in it. 
• Detail oriented and can easily identify key influencing factors; able to quickly retain historical highlights to focus on future improvements.
• Results driven: able to drive tasks to completion in a timely manner.
• Ability to multitask: iterate quickly towards a better solution while not dropping the ball on other concurrent functions.
• Analytical: ability to understand the full scope and depth of the issue, able to solve for the long-term.
• Strong self-awareness and high emotional intelligence to assist with interpersonal and communication improvements. 
• Must work well independently

The Role

As a Principal Security Engineer, you will partner closely with engineering teams to design and implement secure development practices, integrate security into our CI/CD pipeline, and lead security and design reviews.

You’ll bring deep expertise in DevSecOps, application security, hands-on experience securing web applications and APIs, and a strong understanding of modern development workflows. This is a unique opportunity to shape the future of our security program while working in a high-ownership, high-impact environment.

What you will do

• Architect and integrate security tooling directly into CI/CD pipelines to automate the detection and prevention of vulnerabilities, ensuring "shift-left" security at scale.
• Lead threat modeling and secure design reviews for web applications, APIs, and cloud services.
• Oversee the end-to-end product vulnerability lifecycle, from issue triage, prioritization, remediation support, with clear risk communication.
• Drive secure coding standards, develop playbooks, and provide hand-on training and mentorship to instill a security-first mindset across the organization.
• Design and scale secure development practices by collaborating cross-functionally with engineering teams throughout the entire software lifecycle.
• Engage with customers during security reviews

What you bring to the table

• 10+ years in security, with a focus on DevSecOps and security design reviews
• Hands-on experience with secure coding, OWASP Top 10, threat modeling, and SDLC integration
• Experience with GitHub/GitLab, CI/CD, IaC, and containerized environments
• Experience deploying and working with SAST tooling (e.g. Semgrep, Snyk)
• Experience developing in Python and Go.
• Track record of balancing pragmatism and security rigor in a fast-paced setting
• Strong communication skills

Nice to Have Skills

• Understanding of AI security fundamentals and how application security and AI security intersect
• Experience securing cloud infrastructure
• Participation in bug bounty programs and managing security disclosure
• Familiarity with the BSIMM framework
• Experience in cloud security including identity and access management and cloud-native services.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

UK Benefits:

Equity options; 10% pension employer contribution; 25 days holiday plus public holidays; private health insurance; enhanced parental leave; free lunch onsite

US Benefits:

🚀 Equity options - share meaningfully in the company you’re helping to build.

💰 5% contribution to 401(k) - build long-term security with a strong retirement plan.

🍽️ Free team lunch 1x/week - good food, great company, and space to connect.

🏥 Private health insurance – comprehensive cover for you, offering total peace of mind.

👶 Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

📈 Personal development – dedicated support for learning, development, and leveling up over time.

💪 Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing.

💳 Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses.

🔎 Watch this space, we’re continuing to build this as we grow…

Salary for this position in the USA is from $200,000 to $300,000

A Career with Point72’s Technology Team

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

What you’ll do

You will work as part of a developer service team that works collaboratively with business users to provide application software enhancements supporting the firm’s Equities Trading business. Specifically, you will:

• Deliver new business capabilities, system upgrades, and feature enhancements to improve resiliency, capacity, automation, and controls, while supporting integration with internal and external financial vendors and services.
• Collaborate with the team to design and build highly resilient distributed systems, ensuring large sets of financial data are processed as close to real time as possible.
• Build software used to support global trading across multiple time zones.
• Participate in identifying new technologies to continuously improve software systems.
• Implement DevOps practices within the team using GitHub, GitLab, and Jenkins.
• Provide production support to diagnose and resolve elevated application software production incidents and implement proactive remediation measures.

What’s required

• Bachelor's degree in computer science or another technical or scientific field.
• Minimum 8 years of object-oriented programming experience with C#/.NET.
• Willingness to work as part of a globally distributed Dev Team spanning the U.S., Poland, and Hong Kong.
• Significant experience working with databases, primarily MS SQL Server.
• Experience writing automated tests, unit tests, and practicing Test-Driven Development.
• Knowledge of design and architecture patterns, distributed systems, microservices, observability and monitoring, and containerization using Docker.
• Strong-problem solving and analytical skills.
• Exceptional verbal and written communication skills.
• Commitment to the highest ethical standards. 

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully-paid health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Non-profit matching gift program
• Support for employee-led affinity groups representing women, minorities and the LGBT+ community
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here

The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

WHAT YOU'LL DO

We're looking for a Senior Site Reliability Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a robust Kafka-based event pipeline handling tens of billions of messages daily that our customers leverage to analyze user behavior in near real-time.

You’ll be a key engineer on a highly collaborative and skilled team, responsible for bringing projects from concept to production and improving our existing high-scale systems. You will be leveraging your experience, your skills, and a strong sense of teamwork to tackle the significant engineering challenges of running a critical data streaming system. As a Senior Site Reliability Engineer, you will specifically focus on the observability, scalability, and reliability strategy aspects of every project.

Specific examples of what this translates to:

• Solve live performance and reliability issues and prevent their recurrence
• Write and review code, educating engineers and building a culture of reliability
• Practice sustainable incident response and blameless postmortems
• Define and enable standards for monitoring, reliability, and performance
• Bridge the gap between infrastructure and platform engineering teams
• Support and improve services by planning for scale and reliability
• Guide junior engineers in SRE best practices, software engineering, and agile project leadership

WHO YOU ARE

• Bachelor’s in Computer Science, Software Engineering, or a related STEM field
• Five (5) years of experience in any role/occupation/position involving software engineering or site reliability engineering
• Experience must include:
• Using distributed systems to deploy and monitor live applications such as Kubernetes or Docker Swarm
• Working with alerting software (Sentry, Datadog, and/or PagerDuty)
• Utilizing programming languages (Java, Kotlin, and/or Ruby) to understand and contribute to the codebase
• Storing data in relational and non-relational databases such as Postgres and MongoDb
• Data streaming or queuing systems to build data pipelines with technologies like Kafka, Sidekiq or SQS and SNS
• Leveraging continuous integration tools such as Jenkins or Buildkite
• Collaborating with engineers through pull requests and code reviews in version control software such as GitHub or GitLab

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $129,600 and $232,200/year with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

WHAT YOU'LL DO

We're looking for a Senior Site Reliability Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a robust Kafka-based event pipeline handling tens of billions of messages daily that our customers leverage to analyze user behavior in near real-time.

You’ll be a key engineer on a highly collaborative and skilled team, responsible for bringing projects from concept to production and improving our existing high-scale systems. You will be leveraging your experience, your skills, and a strong sense of teamwork to tackle the significant engineering challenges of running a critical data streaming system. As a Senior Site Reliability Engineer, you will specifically focus on the observability, scalability, and reliability strategy aspects of every project.

Specific examples of what this translates to:

• Solve live performance and reliability issues and prevent their recurrence
• Write and review code, educating engineers and building a culture of reliability
• Practice sustainable incident response and blameless postmortems
• Define and enable standards for monitoring, reliability, and performance
• Bridge the gap between infrastructure and platform engineering teams
• Support and improve services by planning for scale and reliability
• Guide junior engineers in SRE best practices, software engineering, and agile project leadership

WHO YOU ARE

• Bachelor’s in Computer Science, Software Engineering, or a related STEM field
• Five (5) years of experience in any role/occupation/position involving software engineering or site reliability engineering
• Experience must include:
• Using distributed systems to deploy and monitor live applications such as Kubernetes or Docker Swarm
• Working with alerting software (Sentry, Datadog, and/or PagerDuty)
• Utilizing programming languages (Java, Kotlin, and/or Ruby) to understand and contribute to the codebase
• Storing data in relational and non-relational databases such as Postgres and MongoDb
• Data streaming or queuing systems to build data pipelines with technologies like Kafka, Sidekiq or SQS and SNS
• Leveraging continuous integration tools such as Jenkins or Buildkite
• Collaborating with engineers through pull requests and code reviews in version control software such as GitHub or GitLab

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $129,600 and $232,200/year with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

WHAT YOU'LL DO

We're looking for a Senior Site Reliability Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a robust Kafka-based event pipeline handling tens of billions of messages daily that our customers leverage to analyze user behavior in near real-time.

You’ll be a key engineer on a highly collaborative and skilled team, responsible for bringing projects from concept to production and improving our existing high-scale systems. You will be leveraging your experience, your skills, and a strong sense of teamwork to tackle the significant engineering challenges of running a critical data streaming system. As a Senior Site Reliability Engineer, you will specifically focus on the observability, scalability, and reliability strategy aspects of every project.

Specific examples of what this translates to:

• Solve live performance and reliability issues and prevent their recurrence
• Write and review code, educating engineers and building a culture of reliability
• Practice sustainable incident response and blameless postmortems
• Define and enable standards for monitoring, reliability, and performance
• Bridge the gap between infrastructure and platform engineering teams
• Support and improve services by planning for scale and reliability
• Guide junior engineers in SRE best practices, software engineering, and agile project leadership

WHO YOU ARE

• Bachelor’s in Computer Science, Software Engineering, or a related STEM field
• Five (5) years of experience in any role/occupation/position involving software engineering or site reliability engineering
• Experience must include:
• Using distributed systems to deploy and monitor live applications such as Kubernetes or Docker Swarm
• Working with alerting software (Sentry, Datadog, and/or PagerDuty)
• Utilizing programming languages (Java, Kotlin, and/or Ruby) to understand and contribute to the codebase
• Storing data in relational and non-relational databases such as Postgres and MongoDb
• Data streaming or queuing systems to build data pipelines with technologies like Kafka, Sidekiq or SQS and SNS
• Leveraging continuous integration tools such as Jenkins or Buildkite
• Collaborating with engineers through pull requests and code reviews in version control software such as GitHub or GitLab

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $129,600 and $232,200/year with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

• You'll contribute to one or more of the following projects:
  • Production Trading Systems and Live Operations: Own the reliability, observability, and operational performance of the firm’s live trading environment during market hours. Monitor live systems in real time, act as a primary responder to production issues, and work closely with quantitative researchers and engineers to investigate, mitigate, and resolve incidents affecting trading, risk, or system stability.
  • Production Tooling, Deployment, and Operational Safety: Build and improve internal tools, dashboards, alerts, and automation to support live trading operations and reduce manual intervention. Design and maintain robust testing, deployment, rollout, and rollback processes for production changes, and strengthen production safety through health checks, failover mechanisms, and operational controls.
  • Microstructure research: Develop tools to enhance research on market microstructure, collaborating with researchers to generate and analyze key features.
  • Data Pipeline and System Management: Engage in full-cycle development, including research, coding, testing, and deploying systems into production. Provide direct support to end users, troubleshoot issues, and manage system upgrades.

• 2+ year track record of solving challenging problems through coding with real metrics & impact in industry.
• Strong software development skills in Python and/or C++, with the ability to build efficient, modular, and reliable systems.
• Strong production engineering skills in Linux environments, including troubleshooting, scripting, monitoring, and operating real-time systems under pressure.
• Experience with modern infrastructure and deployment practices such as CI/CD, Infrastructure as Code, containerization, and observability tooling is advantageous (e.g. GitLab, Jenkins, Terraform, Ansible, Docker, Kubernetes, Prometheus, Grafana).
• Strong learning ability, intellectual curiosity, versatility, and originality combined with a pragmatic outlook.
• Ability to reason through quantitative problems and communicate effectively with quantitative researchers and engineers.
• Reliable and predictable availability to ensure smooth operations of production systems, including responsiveness during trading hours when needed.
• Over two years of experience working with industrial-grade codebases using compiled languages such as C++ is advantageous.
• Familiarity with high-performance computing (HPC) and distributed large-scale systems is a plus.

Senior Software Engineer - Infrastructure

Dalio Family Office

Dalio Family Office Overview:

The Dalio Family Office (DFO) supports Barbara and Ray Dalio and their family in their ventures, investments, and philanthropic efforts under Dalio Philanthropies, which includes OceanX, Dalio Education, Endless Network, and the Beijing Dalio Foundation. The core of the DFO’s culture is built around meaningful work and meaningful relationships and the family’s commitment to giving back. The office is headquartered in Westport, CT with regional offices in New York City, Singapore, and Abu Dhabi.

Position Summary:

We are seeking a highly skilled and motivated Senior Software Engineer - Infrastructure to join our team. The ideal candidate will have a strong software engineering background combined with deep expertise in AWS, Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines, automation, Linux systems, and modern observability stacks.

This role is software-engineering–first, with a focus on building and maintaining production systems and platforms, while also owning infrastructure, deployment, and reliability concerns through code. You will play a critical role in enabling scalable, secure, and reliable systems across our technological landscape while applying Site Reliability Engineering (SRE) principles to reduce operational toil and improve system resilience.

Day-to-day responsibilities:

• Design, build, and maintain production software systems and services, primarily in Python and TypeScript, supporting internal platforms and business-critical applications.
• Spend most of the time (~70%) writing, reviewing, and maintaining production code, with the remaining time focused on infrastructure, reliability, and operational responsibilities.
• Develop infrastructure and platform capabilities through code using Infrastructure as Code tools such as Terraform and CloudFormation to enable scalable, secure, and reliable systems on AWS.
• Build and evolve CI/CD pipelines and deployment tooling (GitLab preferred) as software systems, focusing on reliability, speed, and developer experience.
• Design and implement automation, tooling, and internal services to support deployment, monitoring, operational workflows, and system lifecycle management.
• Contribute to containerized application development and deployment using Docker and Kubernetes.
• Collaborate closely with application, product, and platform teams to improve system architecture, reliability, and long-term maintainability.

Idea Candidate Profile:

• Strong software engineering background, with experience building and maintaining production systems in Python and/or TypeScript.
• Experience designing and operating cloud-based systems on AWS, with a solid understanding of scalability, reliability, and security.
• Hands-on experience with Infrastructure as Code, particularly Terraform and/or CloudFormation.
• Proficiency with CI/CD pipelines and deployment automation, ideally using GitLab.
• Experience working with containerized applications, including Docker (Kubernetes experience is a plus).
• Comfortable working in Linux-based environments, with the ability to debug and optimize systems as part of a broader software platform.
• Familiarity with observability and monitoring tools (Prometheus, Grafana, ELK, Loki) and a mindset of building reliability into systems through code.
• Understanding of SRE concepts, including incident response, postmortems, error budgets, and reducing operational toil through engineering.
• Strong collaboration and communication skills, able to work effectively across product, platform, and infrastructure teams in a fast-paced environment.
• A product- and engineering-first mindset, valuing maintainable code, automation, and long-term system health over manual or ad-hoc solutions.

Illustrative Benefits:    

• 100% company paid medical premiums
• 17 company paid holidays
• Friday summer hours
• Monthly community happy hours
• Hybrid work environment
• Free catered food services for in-office days
• Generous PTO offering 
• Casual dress code
• 150% 401(k) match up to $7,500 and 100% match above $7,500 ($15k match limit)
• Gym reimbursement, back up childcare services, insurance, financial, and legal services, and much more!

Qualifications:

• 5+ Years of experience and a proven track record as a SDE, Infra Eng, DevOps Engineer, SRE, or similar role.
• Bachelor’s or Master’s Degree in Computer Science, Engineering, or related field.
• Excellent problem-solving and analytical skills.

Compensation:

Compensation for the role includes a competitive salary in the range from $150,000 -$250,000 (inclusive of a merit-based bonus, dependent on years of experience, level of education obtained, as well as applicable skillset) and an excellent benefits package, including a comprehensive employer paid medical plan and generous employer match for 401k. 

Please note we are unable to provide immigration sponsorship for this position.

At the DFO, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. The DFO treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes and general treatment during employment, including on the basis of actual or perceived race, creed, color, religion, sex, age, sexual orientation, gender identity and/or expression, alienage or national origin, ancestry, citizenship status, marital status, veteran status, or disability.

Senior DevSecOps Engineer

Dalio Family Office

Dalio Family Office Overview:

The Dalio Family Office (DFO) supports Barbara and Ray Dalio and their family in their ventures, investments, and philanthropic efforts under Dalio Philanthropies, which includes OceanX, Dalio Education, Endless Network, and the Beijing Dalio Foundation. The core of the DFO’s culture is built around meaningful work and meaningful relationships and the family’s commitment to giving back. The office is headquartered in Westport, CT with regional offices in New York City, Singapore, and Abu Dhabi. This is a hybrid position reporting primarily out of our New York City office location.

Position Summary:

Reporting to the Cybersecurity Lead, the Senior DevSecOps Engineer will design, deploy, and secure scalable AWS + Azure environments with a strong focus on Infrastructure as Code (IaC). The purpose of this role is to build secure cloud-native infrastructure from the ground up, operationalize AWS/Azure services, and automate the reliability and security of mission-critical systems. You will embed security-by-design across the SDLC by implementing secure CI/CD pipelines with automated testing, policy controls, and supply-chain protections (SBOMs, signed artifacts, provenance), while centralizing security telemetry into Microsoft Defender for Cloud for unified posture management, threat detection, and compliance. The role also secures cloud infrastructure, data, and key management using AWS KMS and Azure Key Vault, hardens AKS/EKS with policy-as-code (OPA/Gatekeeper) and runtime protections, and extends these controls to AI/LLM development and inference platforms including AWS Bedrock, AI Foundry, and vLLM.

Day-to-day responsibilities would include a combination of the following:

• Embed security-by-design across the SDLC with automated controls and measurable security outcomes.
• Deliver a secure, compliant AWS/Azure cloud foundation with strong data protection and key management.
• Harden container and Kubernetes platforms with consistent policy enforcement and runtime protection.
• Build and maintain secure CI/CD pipelines with SAST/SCA, IaC + container scanning, secret detection, and policy gates, including threat modelling and secure design practices.
• Enforce software supply-chain security (SBOMs, signed images, provenance verification) and route pipeline/code telemetry into Microsoft Defender for Cloud.
• Secure AWS/Azure workloads across identity, network, compute, and storage; implement encryption, classification, retention, DLP, and safe logging.
• Operate AWS KMS / Azure Key Vault (rotation, auditing, envelope encryption) and use Defender for Cloud for CSPM/CWPP, threat detection, and compliance.
• Harden AKS/EKS using pod security, OPA/Gatekeeper, network policies, secrets management, and runtime protections; govern artifacts via JFrog Artifactory (trust, allow/deny, immutability) and integrate Kubernetes signals into Defender for Cloud.

• Additional duties as assigned.

The ideal candidate will possess the following knowledge, skills, attributes, and values:

• Security minded with the utmost regard for confidentiality and discretion.
• Collaborative and helpful by nature.
• Strong sense of ownership in one’s work.
• Excellent communication and synthesis skills.
• Demonstrated track record supporting mission-critical workloads end-to-end: secure deployments, hardening, centralized logging/telemetry, compliance, and continuous optimization.

• Familiarity with cloud governance and security tooling including Microsoft Defender for Cloud, AWS SCPs/RCPs, Azure Policy, and OPA/Gatekeeper.

Illustrative Benefits:    

• 100% company paid medical premiums
• 17 company paid holidays
• Friday summer hours
• Monthly community happy hours
• Hybrid work environment
• Free catered food services for in-office days
• Generous PTO offering 
• Casual dress code
• 150% 401(k) match up to $7,500 and 100% match above $7,500 ($15k match limit)
• Gym reimbursement, back up childcare services, insurance, financial, and legal services, and much more!

Qualifications:

• Bachelor’s Degree or Diploma in Cybersecurity, Computer Science, Information Technology, or related discipline.
• 10+ years of experience in DevSecOps / Cloud Engineering delivering and securing production AWS and Azure environments, including cloud security architecture and operations.
• At least 3 years hands-on experience operating enterprise-scale platforms (systems engineering/administration), including reliability engineering, monitoring/telemetry, and incident response.
• Advanced IaC expertise with Terraform (plus CloudFormation/Bicep preferred), building standardized, governed cloud foundations (landing zones, guardrails, automation).
• Proven experience building and securing CI/CD automation using GitLab and/or Azure DevOps, including automated security testing and supply-chain controls (SBOMs, artifact signing, provenance).
• Strong Kubernetes security experience with AKS/EKS, including policy enforcement and runtime protections.
• Expertise in cryptographic key management and data protection, including AWS KMS / Azure Key Vault, encryption, and data security controls.
• Experience securing AI/LLM systems and inference platforms (AI Foundry, AWS Bedrock, vLLM), including knowledge of OWASP LLM Top 10 and LLM guardrails.
• Strong proficiency across Linux and Microsoft ecosystems (identity, hardening, patching, operational best practices) and scripting with Python/Bash/PowerShell (application languages such as Java/.NET/JavaScript (React.js) are a plus).

Compensation:

Compensation for the role includes a competitive salary in the range from $170,000 -$230,000 (inclusive of a merit-based bonus, dependent on years of experience, level of education obtained, as well as applicable skillset) and an excellent benefits package, including a comprehensive employer paid medical plan and generous employer match for 401k. 

Please note we are unable to provide immigration sponsorship for this position.

At the DFO, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. The DFO treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes and general treatment during employment, including on the basis of actual or perceived race, creed, color, religion, sex, age, sexual orientation, gender identity and/or expression, alienage or national origin, ancestry, citizenship status, marital status, veteran status, or disability.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.

If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.

Overview:

In the role of Staff Network Engineer, you will serve as a technical architect and senior project lead for Ripple’s global corporate network infrastructure. You will promote network consistency across all offices, manage major site upgrades or new office openings, and guarantee 99.9% network uptime. We want a high-impact individual contributor who defines Ripple’s architectural standard for global connectivity. This position blends high-level planning with practical senior engineering to support a workforce spread around the world.

Key Responsibilities

• Architectural Leadership: Define and maintain the "Global Office Standard" (Arista/Aruba/Palo Alto). Act as the final technical point of contact for resolving any critical issues in the global network infrastructure.
• NetDevOps and Automation: Drive the transition to automated deployments. Replace manual "copy-paste" configurations with Ansible, Terraform, and Python-based workflows, applying Arista CloudVision APIs for Zero Touch Provisioning (ZTP).
• Security and Zero Trust: Collaborate with the Information Security team to implement Zero Trust Network Access (ZTNA). Manage the lifecycle of certificate-based EAP-TLS 802.1x authentication along with SASE/SD-WAN transitions.
• Infrastructure Life Cycle: Manage multi-million dollar global hardware upgrades. Coordinate the retirement of outdated Juniper stacks and the rollout of next-generation Arista switching and Aruba Wireless solutions.
• Reliability Engineering: Ownership of the 99.9% Network availability SLA. Develop streaming telemetry and sophisticated observability dashboards (LogicMonitor/Grafana) to move from reactive troubleshooting to proactive network monitoring.
• Vendor and Project Management: Manage relationships with ISPs, hardware vendors, and professional services providers. Lead cross-functional projects to meet international deliverables.

Required Technical Expertise

• Expert-level understanding of Arista EOS (CloudVision, MLAG, VXLAN) and Aruba Central.
• Deep experience with Palo Alto Networks (Panorama, GlobalProtect, and Prisma or equivalent experience)
• Great understanding of cloud based Radius/TACACS+ authentication and certificate management platforms such as Arista AGNI, Foxpass, and ClearPass.
• Expertise in Arista (EOS/CloudVision) and Juniper (JunOS) switching/routing stacks. Experience with MLAG and LACP switch stacking for high availability.
• Senior-level experience with Aruba wireless solutions, particularly Aruba Central in extensive global deployments with high user density.
• Familiarity with enabling QOS over SD-WAN for reliable, high-quality video conferencing (Zoom) in an active/active network stack.
• Proficiency in NetDevOps tooling such as Python and Ansible. Experience using Git (GitHub/GitLab) for version-controlled network configurations.
• Advanced administration of tools like Infoblox (DNS/DHCP/IPAM) in a high-availability, multi-site environment.
• Expert knowledge of core protocols such as BGP, BFD, STP, SD-WAN, ZTNA, and 802.11ax/be wireless standards.

Soft Skills and Leadership

• Asynchronous Collaboration: Ability to clearly detail complex architectures for a distributed team (confluence, diagrams, technical specs).
• Critical Thinking: Ability to balance immediate "firefighting" with long-term technical debt reduction.
• Mentorship: A track record of leveling up junior engineers through experience with guidelines, code reviews, and technical workshops.

What Sets You Apart (Bonus)

• Experience operating within multi-vendor network stacks.
• Exposure to fast-paced, globally distributed companies.
• Experience with Infrastructure as Code (IaC) for managing global network maintenance initiatives and new deployments.
• Familiarity with SRE principles applied to networking (Error Budgets, RCAs, and Post-mortems).

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

You will join the Cloud Infrastructure team in New York. The team designs, builds, and operates cloud platforms that support trading and research workloads, including digital asset and crypto-related systems. The team works closely with development, trading, and operations teams to deliver secure, reliable and scalable cloud solutions.

Your Future Role within QRT

• Design and implement deployment strategies for applications on AWS in collaboration with development, trading and operations teams
• Drive the adoption of CI/CD practices to automate and streamline software delivery
• Develop and maintain monitoring solutions to ensure availability, performance and reliability of cloud-based applications
• Work with developers to enhance application scalability, reliability and security in cloud environments
• Provide operational support and troubleshooting for issues related to cloud deployments and infrastructure
• Evaluate and introduce new tools and technologies to improve efficiency of DevOps processes
• Act as a liaison between engineering and business teams to facilitate effective communication and collaboration

Your Present Skillset

• Extensive experience with AWS services and infrastructure (e.g. EC2, S3, VPC and related components)
• Proficiency in scripting languages such as Python or Bash for automation
• Strong understanding of CI/CD principles and experience with pipelines using tools such as Jenkins or GitLab CI
• Experience with infrastructure-as-code tools such as Terraform, CloudFormation or AWS CDK
• Hands-on experience with distributed computing systems and processing large datasets
• Practical experience with containerisation and orchestration (e.g. Docker, Kubernetes)
• Good understanding of Linux systems, including networking and performance optimisation
• Familiarity with time synchronisation concepts and protocols such as NTP or PTP
• Strong communication and collaboration skills, with the ability to work effectively across teams and departments

Base salary range for this position is $150,000 to $240,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.

We’re looking for Software Engineers with prior payments experience to join our enterprise payments team, where we’re building innovative solutions for Rightsholders for their payments infrastructure across online and physical payments.

What you'll do

• Run a modern, containerized service-oriented architecture using industry-leading software development practices
• Ship code to production many times a day
• Solve complex performance problems, empower a data-driven business and scale our software to support our booming business
• Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand
• Evaluate new technologies and improve our software stack to keep our technological edge
• Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards; no token limits
• Work across teams and discipline boundaries to develop the best product in our industry
• Own large areas of the payments stack, from design through operation, including reliability, cost, and performance outcomes
• Iterate and develop against our native payment processing solution, including growing usage across our US and EMEA client base
• Collaborate closely with Finance, Risk, and Product to define and deliver payment strategies

What you have

• Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
• Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved
• Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard
• A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick
• Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others
• Experience owning end-to-end payment systems and integrations with external processors (e.g., Stripe, Adyen), including designing resilient, idempotent workflows and handling real-world failure modes.
• Experience operating payment systems in production, including monitoring, incident response, and performance optimization (e.g., authorization rates, cost efficiency).
• Experience working cross-functionally with Product, Finance, and Risk to deliver payment solutions aligned with business goals.
• Experience leading projects or mentoring engineers, with interest in growing into a broader technical or people leadership role.
• Experience ensuring financial correctness through reconciliation, auditability, and robust data modeling

Our stack

You do not need experience with any of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

• Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
• Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab
• Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB
• Streaming & workflows: Kafka, Flink, Airflow, Temporal

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.

We are looking for Software Engineers with varying levels of experience to join SeatGeek’s R&D team.

What you'll do

• Run a modern, containerized service-oriented architecture using industry-leading software development practices
• Ship code to production many times a day
• Solve complex performance problems, build a many-sided marketplace, empower a data-driven business and scale our software to support our booming business
• Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand
• Evaluate new technologies and improve our software stack to keep our technological edge
• Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards; no token limits
• Work across team and discipline boundaries to develop the best product in our industry

What you have

• Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
• Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved
• Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard
• A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick
• Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others

Our stack

You do not need experience with any of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

• Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
• Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab
• Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB
• Streaming & workflows: Kafka, Flink, Airflow, Temporal

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

The Platform organization helps turn that vision into reality by providing a secure, reliable foundation for building and shipping products. By reducing complexity and offering well-supported, self-service tools and workflows, we enable teams across SeatGeek to move with confidence and stay focused on delivering great experiences.

We’re looking for Platform Engineers to join us in building and improving this platform. In this role, you’ll work closely with partners across engineering and product to design and deliver capabilities that are easy to use, dependable at scale, and flexible enough to support different team needs. Your work will help teams across SeatGeek build and ship with fewer surprises, especially during the moments when our systems matter most.

If this role sounds interesting to you, we encourage you to apply even if your experience doesn’t match every requirement - we value curiosity, collaboration, and a willingness to learn!

What you'll do

• Core Responsibilities
  • Design, build, and support shared platform systems and tooling that help teams across SeatGeek develop and run services reliably
  • Partner with engineering and product teams to address performance, scalability, and reliability needs as our marketplace and business grow
  • Contribute to system reliability, observability, security, and scalability through automation and well-considered abstractions
  • Participate in operating production systems, including supporting releases, taking part in an on-call rotation, and responding to incidents and support requests with guidance and collaboration from the team
  • Collaborate across teams and disciplines to identify friction and improve how software is built and operated at SeatGeek
• Impact Opportunities
  • Help evolve internal platforms, APIs, standards, and shared tooling to improve reliability and developer experience over time
  • Participate in evaluating new technologies and patterns, balancing short-term needs with long-term maintainability and operational health
  • Use automation and emerging tools, including AI-assisted workflows, to improve development and operational efficiency
  • Share context and learnings through documentation, design discussions, and collaboration across teams

What you have

• Experience contributing to the design, development, or operation of shared systems, platforms, or infrastructure that support other engineers or teams
• Familiarity with building, running, or improving production systems, and an interest in reliability, security,  scalability, and safe ways to deploy and operate software
• A thoughtful approach to writing and maintaining code, with attention to clarity, maintainability, and how others will use and operate what you build
• An interest in developer experience and platform usability, including how tools, abstractions, and workflows affect team productivity and broader business goals
• Comfort collaborating across teams and disciplines, communicating clearly, and turning broad needs into practical technical solutions with support from others
• A commitment to learning and growth (both your own and your teammates’) through knowledge sharing, feedback, and continuous improvement

Our stack

You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

• Languages: Python, Go, HCL, Yaml
• Version control: GitLab
• AI Tooling: Cursor, Claude
• Infrastructure: AWS, Kubernetes / EKS, Terraform
• Monitoring & Alerting: Datadog
• Networking: Fastly, Kong, Cilium
• Data: Kafka, Flink, Redshift

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

The Platform organization helps turn that vision into reality by providing a secure and reliable foundation for building and shipping products. By reducing complexity and offering well-supported, self-service tools and workflows, we enable teams across SeatGeek to move with confidence, especially during the moments when our systems matter most.

We are looking for a Senior Platform Engineer to join SeatGeek’s Cloud Platform team in our Platform organization. In this role, you will help design, build, and operate the core cloud, compute, and networking platforms that support all of SeatGeek’s engineering teams. Cloud Platform engineers focus on scalable infrastructure, resilient networking, and well-defined golden paths that allow teams to ship safely and confidently.

SeatGeek has more services and deployments than developers, which means automation, standards, and reliability must be the default. The Cloud Platform team supports both our Enterprise and Consumer businesses as we scale primary and secondary ticketing platforms used by world-class partners and millions of fans.

If this role sounds interesting to you, we encourage you to apply even if your experience doesn’t match every requirement - we value curiosity, collaboration, and a willingness to learn!

What you'll do

• Core Responsibilities
  • Design, build, and operate shared cloud and networking platforms that support a modern, containerized, service-oriented architecture
  • Improve reliability, observability, security, and scalability through automation, standards, and well-considered abstractions
  • Engineer resilient and observable networking infrastructure that supports a diverse set of workloads across regions and environments
  • Build and maintain golden paths for compute, networking, and infrastructure to help teams deploy and operate services safely
  • Participate in operating production systems, including supporting releases, taking part in an on-call rotation, and contributing to incident response and follow-up work
• Impact Opportunities
  • Partner with application and platform teams to reduce friction in deployment, routing, monitoring, and scaling
  • Help evolve shared infrastructure tooling, APIs, and standards to improve reliability and developer experience over time
  • Evaluate new technologies and patterns with a focus on maintainability and operational health
  • Use automation and AI-assisted workflows to improve development and operational efficiency
  • Share context and learnings through documentation, design discussions, and mentorship

What you have

You love building resilient infrastructure but have an even greater love for how it’s deployed and managed. You make decisions based on data and are not afraid of experimenting to get the information you need. While checking every item below isn't necessary, you have (or are keen to have!) some of the following:

• Experience contributing to the design, development, or operation of cloud and infrastructure platforms that support other engineers or teams
• Hands-on experience running production workloads on AWS, including designing and operating infrastructure using Terraform or similar infrastructure as code tools
• Experience building, operating, or supporting systems on Kubernetes (EKS), including containerized workloads and supporting platform services
• Experience designing or operating service networking and routing, such as service discovery, traffic management, or edge routing using tools like Cilium, Envoy, Kong, or Fastly
• Familiarity with observability practices and tools such as Datadog, and using metrics, logs, and traces to diagnose issues and improve system reliability
• Ability to write and maintain automation or tooling in Go, Python, or Bash, with an emphasis on clarity, safety, and long-term maintainability
• A thoughtful approach to engineering craftsmanship, including clean abstractions, readable code, and systems that are easy for others to operate
• Comfort collaborating across teams, explaining infrastructure and networking concepts clearly, and turning broad needs into practical technical solutions
• Commitment to learning and growth through knowledge sharing, documentation, and mentorship

Our stack

You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

• Languages: Go, Python, HCL, YAML, Bash
• Infrastructure: AWS, Kubernetes and EKS, Terraform
• Networking: Cilium, Envoy, Kong, Fastly
• Observability and Incident Management: Datadog
• Datastores: Postgres, Redis, Kafka
• Secrets management: Vault
• Version control and CI/CD: GitLab and GitLab CI
• AI tooling: Cursor, GitHub Copilot, Claude Code

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.

We are looking for Software Engineers with varying levels of experience to join SeatGeek’s R&D team.

What you'll do

• Run a modern, containerized service-oriented architecture using industry-leading software development practices
• Ship code to production many times a day
• Solve complex performance problems, build a many-sided marketplace, empower a data-driven business and scale our software to support our booming business
• Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand
• Evaluate new technologies and improve our software stack to keep our technological edge
• Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards
• Work across team and discipline boundaries to develop the best product in our industry

What you have

• Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
• Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved
• Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard
• A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick
• Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others

Our stack

You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

• Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core 
• Datastores: Postgres, MemcachedRedis, Elasticsearch
• Cloud: AWS, k8s, argo
• Version control: Gitlab
• AI Tooling: Cursor, Github Copliot, Claude Code
• Observability: Datadog
• Client-side: React+Typescript, Swift, Kotlin

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $145,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

SeatGeek is looking for a security engineering professional for our Security team. As a Lead Software Engineer, Security, you’ll be involved in a mix of incident response, threat hunting, security engineering, and a trace of red teaming.

You’ll be leading critical security initiatives that strengthen our secure-by-default posture across our platform, products, and company. You’ll pair architectural guidance with hands-on engineering — building paved roads, tooling, and automated detection/response that scale. You’ll operate in a fast-paced, collaborative environment, partnering with both engineering and non-engineering teams to reduce risk without slowing builders down. As a lead engineer, you’ll own high-impact work end-to-end, mentor teammates, and help shape the roadmap and culture that make the secure path the easy path — from cloud and code to laptops, identity, email, and awareness.

What you'll do

• Deliver proactive, secure-by-default protections across the stack (cloud, CI/CD, applications, and endpoints) by creating paved roads and guardrails that reduce risk at scale and become the default way to build
• Provide practical security guidance on new products and technologies, emphasizing secure-by-default patterns that fit seamlessly into existing workflows
• Lead design reviews and threat modeling for high-impact features and services; identify risks early and ensure mitigations are designed in
• Build and scale security tooling that prevents issues at build/deploy time and automates detection and response in production
• Evolve our detection and incident response capabilities — improve signal quality, tune detections, and implement automated responders to reduce manual toil and time to contain
• Partner across business functions to strengthen company-wide security: endpoint and device trust, identity and email protections, security awareness and training, vendor reviews and risk assessments, and support for compliance (e.g., PCI/SOX)
• Protect SeatGeek from abuse and bots at the edge and app layers through layered defenses and tuning
• Lead and participate in notable security incidents and tabletops; improve runbooks, processes, and stakeholder communications after each event
• Mentor engineers, uplevel secure coding practices, and contribute to a positive, pragmatic security culture across the company

What you have

• 5+ years of broad, hands-on experience across multiple security domains, with strong software engineering fundamentals; track record of leading cross-domain security projects end-to-end (from design through rollout and adoption)
• Proficiency in one or more programming languages (we use Python, Go, and C#); you write production-quality code and perform rigorous reviews for correctness and security
• Track record of partnering across product, platform, and business functions to drive company-wide security outcomes
• Proven ability to deliver holistic, scalable prevention across security domains (platform/cloud, applications, CI/CD, identity and endpoints), favoring paved roads and default guardrails over one-off fixes
• Ability to think like both an attacker and a defender — leveraging each perspective to strengthen the other and drive meaningful improvements in prevention, detection, and response
• Community contributions (research, talks/blogging/OSS) and hands-on bot/abuse mitigation experience are a plus

Our stack

You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

• Central Logging and Monitoring: Datadog
• Cloud Platform: AWS
• Code Versioning: GitLab
• Container Orchestration: Kubernetes
• Dashboarding: Hex and Looker
• Data Warehouse: Redshift
• Endpoint Detection and Response: CrowdStrike
• Languages: C#, Go, Python, SQL, and Terraform

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Eligible for the SG discretionary annual bonus based on individual and company performance
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $170,000 - $248,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

#LI-Remote

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

We are looking for an Analytics Engineer to join SeatGeek’s Data team. You will join a high-performing team that partners closely with business stakeholders for their data management and insights generation needs. Analytics Engineers play a critical role in discovering, extracting, storing, cataloging, modeling, and processing our data. As a member of this team you will own our analytics data layer. You’ll work on extracting data from production databases as well as third party sources, architecting efficient data models, and orchestrating jobs in Airflow to produce clean, well-documented, and analysis-friendly datasets. This is a highly collaborative role; you will own relationships with both analysts and production engineers to discover the value of our data. By putting data at the heart of everything we do, your work will drive us toward our mission of making SeatGeek the top destination for live event goers. 

The live event industry continues to boom and the future is up for grabs. Operators across SeatGeek will need clean, actionable metrics and feedback loops to make company-defining decisions. If you’re somebody who has a strong opinion on how we should build and use data to fuel decision-making, you’re the right person for this role.

What you’ll do

• Join a team of Analytics Engineers that will develop data pipelines and use SQL- and Python-based ETL frameworks to acquire, process, and deliver data to consumers around SeatGeek
• Communicate and collaborate with different stakeholders, like Data Scientists, Analysts, Data Platform Engineers, and Software Engineers to understand data use cases and product requirements for R&D teams
• Architect and thoroughly QA performant data models that enable analysis in a data warehouse setting
• Assist in triaging and debugging on-call requests in a rotational on-call schedule with the Analytics Engineering team
• Enable AI-assisted stakeholder data analysis by designing LLM-friendly DWH schemas, creating domain guides, and enforcing canonical naming conventions across all tables to be consumed by the AI agent
• Partner with Analytics leadership to develop a strategy around BI tooling to ensure stakeholders have easy access to usable data

What you have

• 2+ years of relevant experience in Analytics, Data, or Software Engineering
• Experience with DBT, databricks, or similar SQL-transformation tool is a must
• A bachelor’s degree or higher in economics, psychology, computer science, statistics, mathematics or another quantitative discipline
• Expert-level knowledge of SQL. Proficiency in programming with Python
• Experience developing new metrics and performing analysis with large datasets
• Experience cleaning data sets, developing new models and interfacing with stakeholders to understand business requirements
• Expert verbal and written communication skills. You are able to translate complex problems or concepts into clear frameworks and guides that all audience types can understand.

Our stack

• Scheduling/Orchestration: Airflow
• ETL: Fivetran, Python, dbt, & Kafka
• Data Warehouse: Redshift
• Event Stream: mParticle
• Experimentation: Eppo
• BI: Looker, Hex, & Mixpanel
• Code versioning: Gitlab
• Required languages: SQL and Python

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Eligible for the SG discretionary annual bonus based on individual and company performance
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $121,000 - $175,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

About the Role

Qualifications

This is roughly the set of things we’re looking for - if you’re interested in this role and don’t meet some of these on paper, err on the side of applying!

• 3+ years of experience in technical, customer-facing roles involving SaaS products (for example, sales engineering, solutions architecture, technical account management, implementation consulting)
• 1+ years of experience working with, at, or selling to AI companies - you understand how AI-first companies operate, their unique challenges, and the market landscape
• Proven ability to own and drive customer-facing engagements and relationships independently
• Strong technical aptitude with the ability to quickly learn new systems, write code snippets, and guide technical implementations
• Experience working in high-velocity environments where speed-to-value matters and customers need to launch quickly
• Excellent communication skills with technical buyers (engineers, product managers, technical founders)

About the Role

Qualifications

• 5+ years of experience working in technical and/or customer-facing roles involving SaaS products (for example, roles like solution engineering, solutions architecture, technical account management).
• Experience running complex sales cycles with enterprise tech companies.
• Experience in fast-moving startup environments that value high agency.
• Ability to quickly learn and communicate technical concepts to technical, go-to-market, and finance stakeholders.
• Excitement for building and improving GTM playbooks and processes.

We care more about demonstrated impact and learning velocity than checking every box.

Role

We are looking for a Senior Infrastructure Engineer to join our growing team where you will design and implement the infrastructure that powers the Peregrine platform.

As an engineering team, we believe empathy leads to better solutions. Seeing people use the product is a priority and helps us find the right answers. Engineers will have the opportunity to work closely with our team onsite to understand the diverse use cases Peregrine serves. We value strong ownership while fostering collaboration and continuous feedback.

As a Senior Infrastructure Engineer, you will leverage a variety of technologies to scale our platform, enabling secure connections to customer networks while managing terabytes of data. You will tackle a wide range of complex challenges, including:

• Building highly available and secure production systems
• Architecting scalable and secure network topologies
• Supporting the ingest engine for massive data processing
• Accelerating the entire engineering lifecycle

Our stack is constantly evolving but is built on AWS GovCloud, Kubernetes, Docker, Terraform, Pulumi, PostgreSQL, Redshift, Elasticsearch, and more.

About you

• Deep understanding of architecture and scaling for large-scale software systems
• Proven experience in building cloud-based network systems across diverse customer environments
• Extensive expertise in Platform Engineering, DevOps, or Site Reliability Engineering (SRE)
• Track record of successfully developing highly available and secure network systems for both production and customer environments
• Strong knowledge of platform, network, and data security, with experience in compliance controls and accreditations
• Solid foundation in database operations, with a strong preference for experience in PostgreSQL and Elasticsearch

What we look for

• 8+ years of experience building and maintaining complex infrastructure for web applications with strict uptime requirements
• Expertise in modern software development best practices, including deployments, CI/CD, data management, security, and distributed systems
• Extensive experience with AWS or other cloud platforms, leveraging containerization and orchestration technologies like Docker and Kubernetes
• Proficiency in software engineering, particularly in Python, for developing APIs and automation tools.
• Hands-on experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi
• Strong background in Linux system administration, with proficiency in Python, Bash, or other scripting languages for automation
• Deep understanding of CI/CD tools, including GitHub Actions, GitLab CI, and ArgoCD
• Located in NYC and open to working in office

Salary Range: $170,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Role

We are looking for a Senior Infrastructure Engineer to join our growing team where you will design and implement the infrastructure that powers the Peregrine platform.

As an engineering team, we believe empathy leads to better solutions. Seeing people use the product is a priority and helps us find the right answers. Engineers will have the opportunity to work closely with our team onsite to understand the diverse use cases Peregrine serves. We value strong ownership while fostering collaboration and continuous feedback.

As a Senior Infrastructure Engineer, you will leverage a variety of technologies to scale our platform, enabling secure connections to customer networks while managing terabytes of data. You will tackle a wide range of complex challenges, including:

• Building highly available and secure production systems
• Architecting scalable and secure network topologies
• Supporting the ingest engine for massive data processing
• Accelerating the entire engineering lifecycle

Our stack is constantly evolving but is built on AWS GovCloud, Kubernetes, Docker, Terraform, Pulumi, PostgreSQL, Redshift, Elasticsearch, and more.

About you

• Deep understanding of architecture and scaling for large-scale software systems
• Proven experience in building cloud-based network systems across diverse customer environments
• Extensive expertise in Platform Engineering, DevOps, or Site Reliability Engineering (SRE)
• Track record of successfully developing highly available and secure network systems for both production and customer environments
• Strong knowledge of platform, network, and data security, with experience in compliance controls and accreditations
• Solid foundation in database operations, with a strong preference for experience in PostgreSQL and Elasticsearch

What we look for

• 8+ years of experience building and maintaining complex infrastructure for web applications with strict uptime requirements
• Expertise in modern software development best practices, including deployments, CI/CD, data management, security, and distributed systems
• Extensive experience with AWS or other cloud platforms, leveraging containerization and orchestration technologies like Docker and Kubernetes
• Proficiency in software engineering, particularly in Python, for developing APIs and automation tools.
• Hands-on experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi
• Strong background in Linux system administration, with proficiency in Python, Bash, or other scripting languages for automation
• Deep understanding of CI/CD tools, including GitHub Actions, GitLab CI, and ArgoCD
• Located in Washington, D.C. and open to working in office

Salary Range: $170,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Role

We are looking for a Senior Infrastructure Engineer to join our growing team where you will design and implement the infrastructure that powers the Peregrine platform.

As an engineering team, we believe empathy leads to better solutions. Seeing people use the product is a priority and helps us find the right answers. Engineers will have the opportunity to work closely with our team onsite to understand the diverse use cases Peregrine serves. We value strong ownership while fostering collaboration and continuous feedback.

As a Senior Infrastructure Engineer, you will leverage a variety of technologies to scale our platform, enabling secure connections to customer networks while managing terabytes of data. You will tackle a wide range of complex challenges, including:

• Building highly available and secure production systems
• Architecting scalable and secure network topologies
• Supporting the ingest engine for massive data processing
• Accelerating the entire engineering lifecycle

Our stack is constantly evolving but is built on AWS GovCloud, Kubernetes, Docker, Terraform, Pulumi, PostgreSQL, Redshift, Elasticsearch, and more.

About you

• Deep understanding of architecture and scaling for large-scale software systems
• Proven experience in building cloud-based network systems across diverse customer environments
• Extensive expertise in Platform Engineering, DevOps, or Site Reliability Engineering (SRE)
• Track record of successfully developing highly available and secure network systems for both production and customer environments
• Strong knowledge of platform, network, and data security, with experience in compliance controls and accreditations
• Solid foundation in database operations, with a strong preference for experience in PostgreSQL and Elasticsearch

What we look for

• 8+ years of experience building and maintaining complex infrastructure for web applications with strict uptime requirements
• Expertise in modern software development best practices, including deployments, CI/CD, data management, security, and distributed systems
• Extensive experience with AWS or other cloud platforms, leveraging containerization and orchestration technologies like Docker and Kubernetes
• Proficiency in software engineering, particularly in Python, for developing APIs and automation tools.
• Hands-on experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi
• Strong background in Linux system administration, with proficiency in Python, Bash, or other scripting languages for automation
• Deep understanding of CI/CD tools, including GitHub Actions, GitLab CI, and ArgoCD
• Located in San Francisco and open to working in office

Salary Range: $170,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the Role

We’re hiring a Quality & Reliability Engineer to level up how we test, release, and operate software at Dirac. You’ll work closely with our engineering team to drive end-to-end quality—improving test coverage, automation, observability, and incident response across our platform.

This is a hands-on IC role with high leverage. You’ll reduce downtime, increase confidence in releases, and make everyone around you more effective—by embedding quality into the way we build, ship, and operate.

What You’ll Do

- Own Quality at Scale – Design and implement test plans, coverage strategies, and reliability workflows that improve release hygiene and catch issues early.
- Build Test & Release Infrastructure – Develop and maintain automated test frameworks and CI/CD pipelines that gate broken code and keep staging environments clean.
- Improve Observability & Debuggability – Strengthen logging, alerting, and monitoring to make failures fast and easy to diagnose.
- Act as a Reliability Partner – Work alongside software and DevOps engineers to reduce flakiness, prevent regressions, and keep BuildOS production-ready.
- Lead Postmortems & Incident Reviews – Help build a blameless culture of learning, where quality issues lead to structural improvements, not just quick fixes.
- Bridge Engineering & Customer Teams – Embed insights from support, QA, and the field directly into automated test cases and product workflows.

What You Bring

- Experience with modern QA and testing practices, including unit, integration, and end-to-end tests.
- Familiarity with test frameworks like Cypress, Jest, PyTest, Selenium, etc.
- Experience building or maintaining CI/CD pipelines (GitHub Actions, GitLab, CircleCI, etc.).
- Experience with modern build and deployment tooling (e.g., Terraform, Docker, NixOS, CircleCI)
- Strong programming comfort in TypeScript, Python, or C++.
- Familiarity with gRPC, HTTP APIs, and scripting tools like Postman or curl.
- Systems thinker who sees how bugs ripple through code, infrastructure, and users.
- Strong communicator—can work across functions and translate messy problems into clean fixes.
- High agency and ownership—you don't just find problems, you fix them.

Nice To Have

- Experience with release automation, staging hygiene, or canary/bake-in pipelines.
- Background in manufacturing, industrial systems, or related physical industries.
- Early-stage startup experience—comfortable with ambiguity and momentum.