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Role Description The Health Management Academy (THMA) brings together health system leaders and innovators to collectively address the industry’s biggest challenges and opportunities. By assisting executives in cultivating peer networks, understanding key strategic trends, establishing pragmatic partnerships, and developing next-generation leaders, our members are better positioned to lead industry transformation. Provelle, part of The Health Management Academy, is focused on supporting leaders and organizations across the healthcare ecosystem with software solutions that drive smarter decision-making, stronger relationships, and meaningful impact. We’re hiring a product engineer to round out our small but mighty team. We are building a learning and development application with AI at its core. What you’d own - Features end-to-end. - Help shape the problem and solution through design, implementation, and rollout. - The product’s craft. - Raise the bar on how the UI/UX looks, feels, and behaves. Notice the things that are slightly off and fix them. - A real seat at the table on AI. Qualifications - Strong mid-level to senior experience level. - Full-stack with focus on the product surface area. - Ability to take a problem, scope it, build it, and ship it independently. - Clear communicator who thrives on a small, direct, remote team. - Fluent in TypeScript, React, PostgreSQL, Tailwind CSS, shadcn/ui. - Knowledge of API design and other backend technologies is a plus. - Knowledgeable about building software on top of LLM API providers (Open AI, Anthropic, etc.). - Bonus points if you have shipped AI features to production. Requirements - Has opinions about which AI coding workflows actually work and which ones don’t. - Brings experiments to the team rather than waiting for permission. - Excited about accelerating software engineering with AI. Benefits - Health insurance. - Dental insurance. - Vision insurance. - 401(k) matching. - Cell phone and commuter reimbursements. - Generous paid time off. - Paid parental leave. - Learning and development programs. - Coaching for working parents and caregivers. - Free therapy and professional coaching sessions. - One-on-one financial coaching. - Free legal support services. Company Description The Health Management Academy offers a dynamic atmosphere with significant opportunities for employees. If you are interested in contributing to a member-centric, creative, and collaborative workforce while deeply influencing top leaders and institutions in healthcare, THMA could be the right place for you!
• Responsible for building and maintaining the core components of Resend that handle sending transactional and marketing emails • Collaborate with the Core Sending Squad
• Reporting directly to the Engineering Director, this position will participate in technical workgroups and function as a technical expert. • Assist in resolving complex and high-risk issues. • Support the research, analysis, design, creation, and implementation of infrastructure systems to meet current and future user requirements. • Work with service, integrator, and cloud service providers to modify and maintain existing systems to address changes in business processes. • Carry out tasks to ensure service providers and integrators achieve contracted service delivery outcomes. • Maintain efficient and optimal networks, including local area networks (LANs), wide area networks (WANs), the internet, intranets, and other data communications systems. • Use approved AI-enabled tools and automation practices to support modern IT operations, including responsible AI usage for troubleshooting, incident analysis, log review, documentation, root cause analysis, knowledge base development, service improvement, and operational decision support while following CHN security, privacy, compliance, and data-handling requirements.
Role Description As our first Data/Infrastructure Advocate Engineer, you'll bridge the gap between cutting-edge data infrastructure and the global community of data engineers, researchers, and developers. You'll champion Xet storage on the Hugging Face Hub, helping users efficiently store, version, and collaborate on large-scale datasets. This role is for someone who thrives at the intersection of technical depth (storage, Parquet, deduplication) and community advocacy, helping define the future of open data workflows. You'll collaborate with teams like Datasets, Hub, and Infrastructure to shape how developers interact with data on our platform, and inspire a community to build better, faster, and more scalable data pipelines. - Grow and nurture the open-source data/infra community: launch initiatives, collaborate with data-focused groups, and organize events or challenges. - Engage with communities like Apache Parquet, Open Table Formats, and data engineering forums to promote best practices and Hugging Face tools. - Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration, curating and showcasing datasets, benchmarks, and tools like Xet. - Highlight use cases like efficient large-dataset updates, Parquet editing, and deduplication to demonstrate the Hub's value for data workflows. - Create demos, benchmarks, and tools (for example Colab notebooks) that illustrate best practices for data storage and versioning, and experiment with Xet, Parquet, and other formats. - Produce high-quality tutorials, blog posts, and videos that make complex topics accessible. - Share insights on storage optimization, dataset versioning, and deduplication to empower developers. - Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration. - Make sure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases. Qualifications - 3+ years in developer relations or developer advocacy, ideally for data engineering, infrastructure, or ML tools and platforms. - An established public presence as a technical voice, with a track record of regularly publishing data/infra/ML content and a demonstrable, engaged audience on LinkedIn and X (Twitter). - A portfolio of developer-facing content you can point to: tutorials, blog posts, videos, demos, benchmarks, or conference talks. - Hands-on experience building and engaging open-source or developer communities (Discord, GitHub, forums). - Strong Python skills. - Hands-on experience with data libraries such as pandas, pyarrow, and huggingface/datasets. - Practical experience with storage systems and formats: Parquet, Open Table Formats, and S3. - Working knowledge of dataset versioning, deduplication, and compression. - Ability to explain complex technical topics clearly through writing, demos, or talks. - Fluent written and spoken English. Requirements - Experience with the Hugging Face Hub and datasets ecosystem, or with Xet. - Open-source maintainer or contributor experience. - Familiarity with large-scale data pipelines and data engineering workflows. - Experience producing notebooks (for example Colab) for tutorials and benchmarks. Benefits - Flexible working hours and remote options. - Health, dental, and vision benefits for employees and their dependents. - Parental leave and flexible paid time off. - Reimbursement for relevant conferences, training, and education. - Company equity as part of the compensation package.
Role Description We're looking for an Engineering Manager to lead a small, focused engineering team building licensed music experiences for top fitness, retail, and consumer brands. This is a people-first role for someone who takes delivery seriously, holds a high bar for quality, and knows how to get the best out of engineers. You'll manage a team of 6 and be responsible for managing sprint execution, driving release quality, and building a team culture where engineers thrive. You'll lead the team’s transition to AI-native development including building a training program, establishing standards, and working alongside engineers until new workflows become second nature. What you'll do - Lead, coach, and develop a team of 6 engineers and 1 QA helping each person grow technically and professionally through regular 1:1s, actionable feedback, and genuine investment in their development. - Own sprint health and delivery consistency creating the conditions for the team to plan well, execute reliably, and ship with confidence. - Establish and maintain engineering performance standards, including code review practices, testing expectations, and release readiness criteria. - Lead the engineering team's transition to AI-first development by building a training program, establishing best practices, and working alongside engineers until new workflows become second nature. - Serve as a key stakeholder in shaping company-wide AI policies and best practices, bringing an engineering perspective to how AI tools are adopted responsibly and effectively across the organization. - Guide technical discussions, surface risks, and ensure architectural decisions are sound. - Actively participate in code reviews and contribute to technical solutions when needed. You’re a hands-on manager who can engage with the codebase. - Partner closely with Product to translate roadmap priorities into well-scoped, executable engineering work. - Collaborate cross-functionally with Product, CX, Sales, Marketing, and Music Affairs. - Be able to thrive in a startup environment: love dealing with fast pace, changing needs, and limited resources. Qualifications - 7+ years of experience in software engineering, with at least 3 years in an engineering management role. - A proven coach and mentor. You’re passionate about helping engineers grow and have a track record of developing strong teams. - Experience leading a team through AI tool adoption, including building standards and onboarding team members to new workflows. - A track record of improving team delivery and raising the bar on engineering quality. - Hands-on technical ability. You can engage with the codebase, participate in design discussions, and earn credibility with engineers. - Bias toward action, highly collaborative. Comfortable working with the product team to assess solutions to user problems with the goal of balancing impact, efficacy, feasibility, and complexity. - Experience working with cross-functional stakeholders on features and technical strategy. - Strong communication skills: you write clearly, give direct feedback, and can translate technical context for non-technical stakeholders. - Comfort operating in a startup environment where priorities shift and resources are finite. Benefits - Remote company - Competitive salary - Equity - Comprehensive health, dental, vision and disability insurance along with a 401k matching plan. Full details here.
Role Description Our client, a growing educational and technology organization, is seeking an experienced Cloud Engineering Instructor to teach and mentor students on cloud computing, cloud infrastructure, deployment strategies, and practical approaches to becoming successful Cloud Engineers. This role is ideal for an experienced cloud professional who is passionate about teaching and sharing real-world industry knowledge with aspiring cloud engineers, DevOps professionals, and IT infrastructure specialists. - Deliver engaging training sessions on cloud computing concepts, cloud infrastructure, and deployment best practices. - Teach students how to design, deploy, manage, and optimize cloud-based systems and applications. - Guide students on cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP). - Share practical experiences, case studies, and real-world cloud engineering project insights with students. - Teach students cloud architecture principles, virtualization, storage, networking, security, and scalability concepts. - Train students on cloud deployment strategies, monitoring tools, automation, and infrastructure management. - Develop instructional materials, presentations, practical labs, and hands-on cloud engineering exercises. - Facilitate workshops, live demonstrations, and project-based learning sessions. - Mentor students on certification pathways, technical problem-solving, and cloud engineering career development. - Stay updated on cloud technologies, DevOps practices, automation tools, and emerging infrastructure trends. Qualifications - Bachelor’s degree in Computer Science, Information Technology, Cloud Computing, Software Engineering, or related field required. - Minimum of 4–5 years of practical experience in cloud engineering, cloud infrastructure management, DevOps, system administration, or related technology fields. - Strong understanding of cloud architecture, networking, virtualization, storage, and infrastructure management. - Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). - Familiarity with cloud deployment tools, automation technologies, infrastructure-as-code, and monitoring systems. - Knowledge of scripting or programming languages such as Python, Bash, or PowerShell is an advantage. - Excellent communication, presentation, and mentoring skills. - Ability to explain technical concepts clearly and engage students effectively. - Strong analytical, troubleshooting, and problem-solving abilities. - Must be legally authorized to work in the USA or Canada. Preferred Qualifications - Cloud certifications such as AWS Certified Solutions Architect, Microsoft Azure Certifications, or Google Cloud Certifications are highly desirable. - Experience delivering technical training, workshops, or mentoring programs. - Familiarity with DevOps tools, CI/CD pipelines, Docker, Kubernetes, or cloud security best practices. - Experience deploying and managing cloud-based production environments. Requirements - Part time. Pay depends on experience.
We help organizations make smarter cybersecurity decisions that minimize risk.
Role Description GuidePoint Security is seeking an Exposure Management Engineer to support and scale our Exposure Management operations services. This role focuses on the day-to-day operation, optimization, and automation of security platforms including vulnerability management, CAASM, and CNAPP tools. The engineer will work closely with senior security engineers and client teams to help operationalize exposure management programs, manage platform findings, and improve remediation workflows. This position is ideal for someone who enjoys working hands-on with security tools, solving operational problems, and building automation to improve security programs at scale. Key Responsibilities - Platform Operations - Operate and maintain security platforms including vulnerability management, CAASM, and CNAPP tools - Monitor security findings and support prioritization and remediation workflows - Assist in platform tuning, configuration optimization, and integration with client environments - Support onboarding of new assets, applications, and cloud environments into security platforms - Exposure Management Operations - Review exposure findings and assist with prioritization and remediation tracking - Help manage remediation workflows with client engineering teams - Generate operational dashboards and reporting for security leadership - Assist in maintaining asset inventory coverage and scanning accuracy - CNAPP & Cloud Security Support - Assist with the operation and optimization of CNAPP platforms (e.g., Wiz, Prisma Cloud, Orca) - Support cloud posture monitoring and exposure analysis - Assist with investigation of cloud misconfigurations, identity exposures, and attack paths - Work with senior engineers to onboard new cloud environments - Automation & Integrations - Develop scripts and automation to improve security workflows - Build integrations between security tools and ticketing systems - Automate reporting, vulnerability triage, and remediation tracking - Use APIs and automation frameworks to reduce manual operational effort - Client Engagement - Participate in regular operational cadence meetings with clients - Provide updates on platform findings and remediation progress - Assist senior engineers in troubleshooting security platform issues - Contribute to documentation and operational playbooks Qualifications - 3+ years of experience in cybersecurity engineering - Exposure management or risk-based vulnerability management experience - Familiarity with vulnerability management, exposure management, or CNAPP platforms such as Tenable, Qualys, Rapid7, Wiz, Axonius, or similar tools - Scripting experience (Python, PowerShell, or similar) - Experience working with APIs or automating workflows - Understanding of security fundamentals: vulnerabilities, misconfigurations, identity and access control, security monitoring - Strong communication skills and ability to work with engineering teams Preferred Qualifications - Experience with CNAPP platforms such as: Wiz, Prisma Cloud, Orca, Lacework - Experience with cloud platforms: AWS, Azure, GCP - Familiarity with container security and Kubernetes - Experience integrating security tools with ticketing platforms (Jira, ServiceNow) - Experience using AI-assisted tools (LLMs, copilots, or agent frameworks) to accelerate scripting, analysis, and security operations workflows Ideal Candidate Profile The ideal candidate is someone who: - Enjoys working hands-on with security platforms - Likes solving operational and workflow challenges - Naturally looks for opportunities to automate repetitive tasks and improve workflows using scripting, APIs, or AI tools - Can operate independently but collaborates well with clients and engineers Benefits - Remote workforce primarily (U.S. based only, some travel may be required for certain positions, working on-site may be required for Federal positions) - Group Medical Insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans) - Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans - 12 corporate holidays and a Flexible Time Off (FTO) program - Healthy mobile phone and home internet allowance - Eligibility for retirement plan after 2 months at open enrollment - Pet Benefit Option
• Lead the planning and execution of the migration from self-managed SQL Server on EC2 to AWS RDS (SQL Server) • Drive database cost optimization: right-sizing instances, evaluating Reserved Instances, storage tiering, and eliminating unnecessary licensing costs • Upskill and mentor the existing Hospice SQL DBA team on AWS database operations, RDS management, and cloud best practices • Establish cloud-native database monitoring, alerting, and performance baselines using Datadog and CloudWatch • Design and implement automated backup, restore, and disaster recovery processes using AWS Backup • Perform query optimization, index management, and capacity planning • Collaborate with the DevOps team on infrastructure automation (Terraform for RDS) • Ensure HITRUST E1 compliance for all database systems (encryption, access controls, audit logging) • Support the Hospice application team with database-related development needs • Evaluate future database modernization opportunities (PostgreSQL, Aurora) for the 2027 roadmap
Role Description We’re looking for a Senior Support Engineer with strong system administration and troubleshooting skills to join our growing team. You’ll work directly with customers to investigate and resolve technical issues related to the Akeyless platform. This includes working across a variety of environments from Linux systems and Kubernetes clusters to IAM integrations and secure access workflows. You’ll act as a key technical contact in helping customers maintain operational stability and get the most out of their deployment. Key Responsibilities - Investigate and resolve support cases involving the Akeyless SaaS platform, including secret access, authentication issues, certificate workflows, and remote access. - Reproduce customer issues by building and managing test environments using Linux, Docker, Kubernetes and related tools. - Analyze logs and platform behavior to isolate root causes and deliver actionable solutions. - Support customers with secure configuration and best practices. - Work closely with engineering and product teams to escalate bugs or complex issues, validate fixes, and advocate for customer needs. - Contribute to internal tooling, team processes, and customer-facing knowledge base articles. - Be available to support critical issues outside of core hours, as needed. - Develop runbooks to streamline troubleshooting and improve the customer experience. Qualifications - 4+ years of experience in technical support, DevOps, System Administration, or a similar customer-facing technical role. - Solid hands-on experience managing Linux-based systems in production environments. - Proficiency with Kubernetes, Terraform, Docker, and shell scripting. - Working knowledge of IAM concepts, authentication protocols, and API interactions. - Experience with at least one major cloud provider (AWS, Azure, or GCP). - Proficiency with networking, TLS/SSL, and system-level debugging (logs, processes, permissions). - Strong analytical and troubleshooting skills with the ability to independently drive root cause analysis. - Excellent written and verbal communication skills in English. Preferred Qualifications - Experience supporting SaaS platforms or security-focused products. - Exposure to cybersecurity domains such as: Identity Providers (Okta, Ping), Secrets and Certificate Management (PKI, KMS, CMS), Zero Trust Architecture (ZTA) and Privileged Access Management (PAM), Hardware Security Modules (HSM). - Familiarity with DevOps and automation tools (CI/CD, Terraform, Ansible, etc.). - Scripting or light programming skills (Python, Bash, or similar). - Experience working directly with enterprise customers in a production critical environment. Requirements - Base salary: $130K-$150K - In addition: Company Stock Options + Benefits - The compensation package depends on experience.
Waymo is a company in the autonomous driving technology space offering self-driving vehicles with the potential to increase mobility and decrease lives lost in
Role Description The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV). We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. You will: - Combine ML and geometric algorithms to solve 3D spatial reasoning problems. - Apply machine learning techniques to build multi-modal sensor fusion architectures and spatial-temporal representation learners for object detection and tracking, occupancy and semantic segmentation, road understanding, etc. - Develop scalable recipes for large data, large model training running on Alphabet’s compute infrastructure, create methods and recipes for pre-training and post-training. - Develop methods and recipes for distributed fine-tuning enabling multiple developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production system. - Develop and maintain model evaluation recipes and metrics for measuring and improving performance of pre-trained and fine-tuned models. Qualifications - Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience. - 3+ years experience in Machine Learning and/or Computer Vision. - Experience with Python and familiarity with C++. - Experience with ML frameworks like PyTorch, JAX, or Tensorflow. Requirements - MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline (preferred). Benefits - Health, dental, vision, life, disability insurance. - Retirement Benefits: 401(k) with company match. - Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment. - Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary). - Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks. - Baby Bonding Leave: 18 weeks. - Holidays: 13 paid days per year. Company Description Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
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Python, AWS, AI, Azure, GCP, Kubernetes
