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Staff Software Engineer, Agentic Applications
Databricks · Mountain View, California
$198k–273k
56 days ago
♡
Senior Software Engineer, AI Native Web Platform
Databricks · Mountain View, California
$160k–220k
56 days ago
♡
Sr. Manager, Compensation Analytics & Intelligence
Databricks · United States
$174k–300k
56 days ago
♡
Delivery Solutions Architect - Startups & Emerging Enterprise
Databricks · Remote - California
$180k–248k
56 days ago
♡
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Sr. Compensation Manager GTM
Databricks · United States
Pay
$174k–300k
Setting
Remote
Sr. Compensation Manager GTM, United States. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Software Engineer, Agentic Applications
Databricks · Mountain View, California
Pay
$198k–273k
Setting
On-site
Staff Software Engineer, Agentic Applications, Mountain View, California. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Software Engineer, AI Native Web Platform
Databricks · Mountain View, California
Pay
$160k–220k
Setting
On-site
Senior Software Engineer, AI Native Web Platform, Mountain View, California. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
Sr. Manager, Compensation Analytics & Intelligence
Databricks · United States
Pay
$174k–300k
Setting
Remote
Sr. Manager, Compensation Analytics & Intelligence , United States. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
Delivery Solutions Architect - Startups & Emerging Enterprise
Databricks · Remote - California
Pay
$180k–248k
Setting
Remote
Delivery Solutions Architect - Startups & Emerging Enterprise, Remote - California; Remote - Colorado; Remote - Illinois; Remote - Massachusetts; Remote - New York; Remote - Oregon; Remote - Texas; Remote - Washington. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Software Engineer, AI Native Web Platform
Databricks · Mountain View, California
Pay
$198k–273k
Setting
On-site
Staff Software Engineer, AI Native Web Platform, Mountain View, California. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
Sr Software Engineer- CXI
Databricks · Mountain View, California
Pay
$164k–226k
Setting
On-site
Sr Software Engineer- CXI, Mountain View, California; San Francisco, California. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
Alliance RVP, McKinsey
Databricks · Atlanta, Georgia
Pay
$204k–281k
Setting
On-site
Alliance RVP, McKinsey, Atlanta, Georgia; Boston, Massachusetts; Chicago, Illinois; Dallas, Texas; New York City, New York; San Francisco, California; Seattle, Washington. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Software Engineer, Platform
Zus Health · United States
Pay
$170k–200k
Setting
Remote
Staff Software Engineer, Platform
United StatesEngineering – Engineering /Full-Time /Remote
APPLY FOR THIS JOB
Who we are
Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around.
What we're looking for...
We’re looking for an experienced Staff Engineer to join the platform team at Zus which builds our core data services. The ideal candidate will be excited to take on the challenge of processing, storing and delivering the entire health records of millions of patients, providing low latency and high-availability for all operations. You are creative, innovative and think deeply about both the technical problems and business problems our customers are facing.
The Platform team has needed to rapidly innovate to stay ahead of data volumes that grow at 10x per year and a growing base of data-savvy customers using Zus to improve patient care. The team is also contending with an evolving regulatory landscape in data privacy and security. Expect to learn a lot and be put on mission-critical projects with direct customer impact.
The Platform team is at the heart of everything at Zus. You will work on data services that operate on large scale data using a variety of AWS services (Fargate, Lambda, DynamoDB, S3, etc) and use data storage technologies such as DynamoDB, postgres, iceberg, elasticsearch and others . You will also work on RESTful and GraphQL APIs that are used both internally and externally. Go is our language of choice and the team is responsible for deploying, maintaining, and operating its pipelines and services.
As part of our team, you will...
Collaborate with product managers and internal users of the Zus Platform to ensure the platform is meeting the needs of our customers, both internal and external
Collaborate with team members and across Engineering to iteratively prototype and develop new functionality
Provide technical leadership, contributing to the architecture and design of the team’s systems
Build and operate data services driving our applications and APIs
Coach others to become better engineers
You're a good fit because you...
Learn fast and enjoy open-ended technical challenges
Are interested in the business problems our customers face
Have experience with operationally stable, scalable, and cost efficient data services
Enjoy owning your work and seeing it deploy safely in production
Are jazzed to build backend services in Go
Have experience using Cloud Data Warehouses such as Snowflake, Big Query, Redshift or Databricks
Have experience with at least one of the following: deployment technologies (GitHub Actions, CircleCI, etc.), cloud providers (AWS, Azure, GCP), and Infrastructure as Code (Terraform, CloudFormation, etc.)
Are excited to ~ finally! ~ enable a true digital revolution in healthcare
Thrive amid the changing landscape of a growing and evolving startup
Enjoy collaboration and solving unique problems
Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally
It would be awesome if you were...
Experienced in building and running large-scale systems in the cloud using Go
Experienced in AWS DynamoDB
Knowledgeable about application security
Experienced in working with healthcare data and APIs
Familiar with the FHIR and/or TEFCA standards
$170,000 - $200,000 a year
For Engineering roles, we expect occasional travel for in-person meetings and events a few times per year.
We will offer you…
• Competitive compensation that reflects the value you bring to the team a combination of cash and equity
• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO
• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)
Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences.
We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
APPLY FOR THIS JOB
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Listed by Zus Health for a position based in the United States. Employers on this board attest they are hiring domestically.
Professional Services Consultant - AI Security
Cato Networks · Washington, District of Columbia, United States
Pay
$65k–140k
Setting
On-site
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At Cato Networks, we have a team of veteran technology and security experts, looking to change the world. We believe that while good engineers can create simple solutions for complex problems, great engineers can make complex problems – simple.
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Professional Services
Professional Services Consultant - AI Security
Location: Washington, District of Columbia, United States
Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
As a Cato AI Security Professional Services Consultant, you will be a trusted advisor to our customers to help see them through their AI security implementation journey. You will provide technical guidance and direction to ensure the Cato AI security solution's smooth and successful implementation.
Curiosity – You have a desire to truly understand our customers' business needs.
Creativity – You can find a sustainable path to yes.
Empathy – You connect at a human level with our customers, and you genuinely care
Responsibilities:
Maintain expert-level implementation proficiency of the Cato Networks AI Security solution while keeping abreast of the dynamic AI security and enterprise IT infrastructure landscape
Develop meaningful relationships with key customer stakeholders and their partners, adopting a consultative and prescriptive approach that inspires trust and confidence
Lead end-to-end customer engagements implementing Cato AI security solution for AI risk management, model security, and data protection so that our customers can realize the total value of their investment in our technology
Work with customer teams to design secure AI architectures and establish governance frameworks aligned to standards such as NIST AI RMF, ISO/IEC 42001, and EU AI Act guidance
Translate technical findings into actionable recommendations for both executive and technical audiences
Serve as a subject matter expert on AI and LLM security across the Cato Networks customer base
Contribute to development of internal knowledge sharing, solution playbooks, and enablement materials for partners and customers
Foster collaboration with our product management, support and engineering teams by providing feedback from the field on features and functionality, influencing roadmap priorities based on customer needs and emerging threats
Support pre-sales scoping of professional services for new customer engagements
Identify opportunities to expand customer value through additional AI security services and capabilities
Collaboration with greater professional services team to help synthesize experiences and trends observed in the field into repeatable technical best practices in collaboration with other Cato functions
Operate day-to-day with minimal oversite as a point of technical escalation to provide guidance on and ensure timely resolution of any issues
Qualifications:
5+ years of experience in cloud architecture with a primary focus on AWS or Azure, including hands-on deployment and management of Amazon EKS or ECS, or Azure Kubernetes Service and hybrid connectivity services
3+ years of experience in a customer-facing role (e.g., consulting, professional services, pre-sales, managed services) for a high-tech software or technology vendor with a proven track record leading enterprise consulting or professional services engagements
Exposure to implementation of API gateways (e.g., Zuul, Apigee, Kong, Amazon API Gateway, Azure API Management) and AI application specific gateways (e.g., LiteLLM, Portkey, Helicone, TrueFoundry)
Solid understanding of public cloud networking constructs (e.g., AWS VPCs, Transit Gateway, Direct Connect, Route 53, and Gateway Load Balancer – Azure VNets, VNGs, ExpressRoute, vWAN, Load Balancer, and DNS)
Experience designing and securing AI/ML infrastructure including AWS SageMaker, AWS Bedrock, Azure AI Foundry, Google Vertex AI, Databricks, GPU-accelerated compute, and model inference pipelines
Exposure to unique threat landscape for AI and LLMs including AI specific threat models and risks (e.g., prompt injection, data poisoning/leakage/exfiltration, model inversion/manipulations/poisoning, and other adversarial attacks)
Proficient with Infrastructure as Code (IaC) using Terraform, CloudFormation, or CDK with version-controlled deployment pipelines and automation scripting skills in Python, Bash, or Go is a plus
Familiarity with container security, runtime protection, and service mesh architectures (Istio, App Mesh)
Practical experience with observability and monitoring stacks (e.g., CloudWatch, Prometheus, Grafana, Datadog)
Knowledge of data sovereignty, residency requirements and compliance frameworks relevant to AI workloads (e.g., FedRAMP, SOC 2, ISO 27001, NIST 800-53, HIPPA, PCI, HITRUST, GDPR)
Familiarity with data protection regulations and AI Security frameworks (e.g., GDPR, NIST AI RMF, ISO/IEC 27001, ISO/IEC 42001, OWASP Top 10 for LLMs, MITRE ATLAS) is a plus.
Excellent communication and stakeholder management skills, capable of influencing at all levels and gaining a ‘Trusted Advisor’ status with key stakeholders
Industry accredited security certifications (e.g., CISSP, CCSK, CISM) and AI security–specific credentials
Excellent troubleshooting and problem-solving skills with an innate ability to methodically get to the root of issues
Very well organized and work effectively in an agile and fast-paced environment
Solid command of the English language (written and spoken) with additional language skills is a plus.
Comfortable working within a geographically distributed and diverse team for a hypergrowth global organization.
Ability to travel up to 25% of the time for customer on-site meetings and various company meetings
Cato provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits.
As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.
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Listed by Cato Networks for a position based in the United States. Employers on this board attest they are hiring domestically.
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