Intern will be working on projects that support build up for Databricks Semantic layer, and help to consolidate DataDog observability into one CTS platform repository for better cross-team collab and management.
Compensation
Pay Rate: $31 per hour USD for undergrad interns.
Responsibilities
Support build up for Databricks Semantic layer
Consolidate DataDog observability into one CTS platform repository
Requirements
Accredited college or university degree program in Computer Science, Data Science, or related field
Lead CyberArk Developer to design, implement and scale the Privileged Access Management (PAM) program for the media and technology company engagement.
Compensation
Pay rate : $55- $60/hr on W2
Responsibilities
Lead the architecture, design, deployment and upgrade of CyberArk Privileged Access Manager (Self-Hosted and/or Privilege Cloud), including Vault, PVWA, CPM, PSM and PSM for SSH.
Drive large-scale onboarding of privileged accounts (Windows, Unix/Linux, databases, network devices, cloud consoles, service accounts) using bulk-load utilities, REST APIs and automation.
Develop and customize CPM plugins, PSM connectors and platform policies for target systems not supported out of the box.
Implement CyberArk Secrets Manager / Conjur and Credential Provider (CP/CCP) to eliminate hard-coded credentials in applications, scripts and DevOps pipelines.
Design high-availability, disaster recovery and DR-drill procedures for the Vault and component servers.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering or a related field, or equivalent professional experience.
Nice to have: CyberArk Identity (SSO/MFA)
Nice to have: Identity Security Platform
Nice to have: Cloud PAM for AWS, Azure and GCP (CyberArk SCA / cloud entitlements)
As a Senior Software Engineer in the Contact Automation team, you will play a pivotal role in shaping the future of customer support at Wise. You'll be a key technical leader in an autonomous team, driving the vision and end-to-end solutions for the Wise Assistant.
Locations (3)
Budapest, Budapest, Hungary
New York, United States
London, England, United Kingdom
Responsibilities
Lead the design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant
Take ownership of intent detection systems, contact processing pipelines, and the routing logic that connects customers to various automation solutions
Design and implement solutions leveraging foundational LLM models (AWS Bedrock) to resolve customer queries effectively
Lead and manage the technical integration with third-party AI Agent vendors
Perform data management activities for clinical studies and development projects, including data entry, verification, scribing, and database maintenance.
Compensation
The expected salary range for this position, based on the primary location of Tucson, is 55,700 - 87,560 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.
Lead the Events Analytics Platform (EAP) team, which builds and operates the distributed data systems powering Sentry's products, managing petabytes of data and developing high-performance analytical infrastructure using technologies like ClickHouse.
Compensation
The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary.
Responsibilities
Lead and develop a team of engineers working on large-scale distributed data systems, fostering technical excellence, ownership, collaboration, and professional growth.
Drive technical execution and architectural decisions across EAP's storage and query infrastructure, balancing scalability, reliability, performance, and long-term maintainability.
Build and evolve analytical data systems supporting complex queries, high-throughput workloads, and efficient access to petabytes of event data.
Guide the evolution of EAP's architecture, including query optimization, storage and compute separation, and the unification of different event types into a common analytical platform.
Own the operational health of the platform, leading efforts to improve reliability, troubleshoot production issues, manage incidents, and address scaling challenges.
Lead a team of engineers building and evolving shared infrastructure, internal control systems, and developer-facing tools for Sentry’s engineering teams.
Compensation
The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary.
Responsibilities
Lead a team of engineers building and evolving the shared infrastructure, internal control systems, and developer-facing tools that Sentry's engineering teams rely on.
Drive improvements to infrastructure automation, configuration management, production safety, and developer self-service, making complex infrastructure easier and safer to operate.
Define and execute the team's technical roadmap, working with senior engineers to make sound architectural decisions and prioritize investments in reliability, scalability, and operational efficiency.
Develop engineers at different levels through coaching, mentorship, clear expectations, and opportunities for technical growth and ownership.
Build a healthy, high-performing team culture focused on accountability, continuous improvement, and delivering measurable impact.
Own the technical direction of the data and platform systems behind detection, investigation, hunting, response, and AI-driven defense.
Compensation
For positions in this location, we offer a base pay of $221,200 - $387,100, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Own the architecture of our multi-system security data platform, from ingestion to access, including the data that powers detection, investigation, hunting and risk analytics.
Define shared schemas, data models, and data contracts so telemetry from different sources is consistent, trustworthy, and joinable for both people, automation and AI.
Build the data foundation for applied AI in security operations: data and feature pipelines, model evaluation, retrieval, and governed data access for AI agents that investigate and respond to threats.
Build access control, data protection, auditability, and compliance into the architecture so the platform is secure by design.
Lead technical design across teams, resolve tradeoffs on shared platforms, and keep the architecture coherent as the organization grows.
Requirements
Bachelor's degree in computer science, software engineering, or a similar field
Nice to have: Hands‑on ML/AI experience
Nice to have: Experience applying ML and graph‑based analysis to security problems
Nice to have: Experience in security operations, such as SIEM platforms, security datalakes, detection engineering, or incident response
WB Games Data Engineering Co-opNewWARNERMEDIA · Needham, US
Clinical Data Manager INewRoche · Tucson, US
Engineering Manager, Data PlatformNewSentry · Remote, US