Location: Vineland, NJ 

Role

We are looking for a Senior Solutions Consultant - AI Security to join our Sales and Go-to-Market team. This is a remote role based in the US, reporting to the Director of Solutions Consulting - AI Security. The Zscaler Sales and Go-to-Market team is a global group of professionals passionate about delighting customers and sharing expertise to drive a secure, cloud-enabled digital future. As a key technical partner, you will demonstrate the power and agility of Zscaler cloud transformation to cement our position as the world leader in cloud security.

What you’ll do (Role Expectations)

• Drive business growth by partnering with Account Executives to deliver compelling product demonstrations and presentations

• Plan, execute, and deliver Proof of Concept (POC) and Proof of Value (POV) projects demonstrating product capabilities and business ROI

• Form lasting customer relationships to ensure success, facilitate smooth onboarding, and cultivate Zscaler product champions

• Act as the voice of the customer by channeling insights to the development team to shape the product roadmap and feature scoping

• Maintain expert-level knowledge of Zscaler offerings, developing business value propositions, and monitoring competitor products

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Proven experience in a customer-facing technical role such as sales engineering or consulting

• Knowledgeable in Generative AI, cybersecurity, data science or adjacent technical domains

• Excellent communication skills for both technical deep-dives and clear executive briefings

• Proven ability in solving complex technical challenges and effectively managing multiple projects simultaneously

• BSc in Computer Engineering, Computer Science, or equivalent experience

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Python or TypeScript and utilizing REST APIs with tools like cURL and Postman

• AI red teaming experience, agentic system development, or MCP server experience

• Familiarity in major cloud platforms: AWS, Azure, or GCP

#LI-AA5 #LI-Remote

The Opportunity.. 

As a Principal Network Engineer at Commvault, you will not just sit in an ivory tower drawing diagrams'. We are looking for a Player-Coach—a technical heavyweight who possesses the vision to architect a global network and the grit to build and troubleshoot it personally. 

This role is defined by Deep Execution. You will own the full lifecycle of our global connectivity fabric, from the initial whiteboarding of a Zero Trust framework to the hands-on configuration of the solution and the resolution of complex multi-cloud routing issues. If you are a high-level architect who has moved away from the CLI, this is not the role for you; we need a leader who stays "close to the packets" while guiding our long-term technical strategy. 

What You'll Do... 

1. Hands-On Technical Leadership & Execution

• Build & Deploy: Take primary responsibility for the "First Build." You will lead the hands-on implementation of global SD-WAN and Cloud nodes, ensuring the transition from design to production is flawless. 

• Deep-Dive Troubleshooting: Act as the ultimate technical escalation point. When Tier-3 hits a wall, you dive into the logs, PCAPs, and routing tables to identify and fix the root cause. 

• Network-as-Code: Personally develop and maintain Terraform and Ansible playbooks to automate the global environment, ensuring you are driving the execution of automation, not just suggesting it. 

1. Multi-Cloud & SD-WAN Sovereignty

• GCP & Azure Execution: Physically build and manage the transit gateways, VPC/VNet peering, and Cloud Interconnects that power our multi-cloud ecosystem. 

• SD-WAN Mastery: Take the lead in configuring Prisma Access and NGFWs. You will own the policy engine, hands-on, ensuring security is baked into every route and interface. 

• Zero Trust Integration: Move beyond the "Zero Trust" buzzword by executing the actual micro-segmentation and identity-based access controls across our hybrid footprint. 

1. Security & Edge Engineering

• Zscaler and Firewall Expert: Act as the Subject Matter Expert (SME) for Next-Generation Firewalls (NGFW), Zscaler Private Access (ZPA) and Zero Trust Network Access (ZTNA). Own the global policy sets, SSL decryption strategies, and threat prevention profiles. 

• Hybrid Connectivity: Manage complex Site-to-Site VPNs, GRE tunnels, and high-speed interconnects that link our global data centers with public cloud regions. 

1. Mentorship, Leadership & Executive Presence

• Strategic Influence: Partner with the CISO and Director of Infrastructure to align networking goals with broader business initiatives. 

• Technical Mentorship: Lead and upskill a global team of senior and mid-level engineers. Conduct architectural reviews and set the "gold standard" for documentation and code-based infrastructure. 

• Vendor Management: Lead technical evaluations and QBRs with key partners (Google, Microsoft, Palo Alto), ensuring Commvault is leveraging the latest features and optimal pricing. 

• Lead by Example: Set the technical standard for the engineering team by demonstrating best practices in configuration, documentation, and operational discipline. 

• Executive Communication: Translate complex technical "war stories" and execution hurdles into concise executive summaries for leadership, providing clear paths for risk mitigation. 

1. Automation & Excellence

• Infrastructure as Code (IaC): Champion a "Network-as-Code" mindset using Terraform, Ansible, or Python to automate repetitive tasks and ensure 100% configuration consistency. 

• Operational Resilience: Own Tier-4 escalations for complex network outages. Lead Root Cause Analysis (RCA) sessions that translate technical failures into actionable business improvements. 

Who You Are... 

• Experience: 12+ years in Network Engineering, with a career path that proves you have never lost your "hands-on" edge. 

• Location: Preferably in New Jersey to help own the hardware in the corporate data center. 

• "In-the-Trenches" Expertise: Proven ability to build, operate, and troubleshoot complex environments across Palo Alto (PCNSE level), GCP, and Azure. 

• SD-WAN & Zero Trust: Direct experience deploying Zscaler SD-WAN and implementing ZTNA frameworks in a global enterprise. 

• The "Principal" Skillset:  

• Expert-level mastery of BGP, EVPN/VXLAN, and stateful firewalling. 

• High proficiency in Python or Terraform for infrastructure deployment. 

• The ability to command a room of executives while being the most technical person on a bridge call. 

Communication: Exceptional written and verbal skills. You can explain the "why" behind a $2M infrastructure investment to a Board of Directors just as easily as you can debug a packet drop with an engineer. 

Preferred Certifications: 

• Zscaler:  ZTDA or ZTDE 

• Cloud: Google Professional Cloud Network Engineer or Azure Network Engineer Associate (AZ-700). 

• General: CCIE (Route/Switch or Security) is highly valued but not required if equivalent experience is demonstrated. 

You’ll love working here because... 

• Continuous professional development, product training, and career pathing 

• An inclusive company culture, opportunity to join our Employee Groups   

• Generous benefits supporting your health, financial security, and work-life balance  

• Employee stock purchase plan (ESPP) 

Ready to #makeyourmark at Commvault? Apply now!  

#LI-JS1 

#LI-Remote 

Please note that this position can be based in Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

Primary Responsibilities

• Design, develop, validate, and deploy machine learning, statistical, and GenAI solutions that address complex business problems and support enterprise priorities
• Contribute to execution of the enterprise AI strategy and roadmap by providing technical input on use‑case feasibility, value hypotheses, architecture decisions, and build‑vs‑buy assessments
• Build and maintain scalable ML and LLM pipelines from data ingestion through production, adhering to established ML Ops and LLM Ops standards including versioning, evaluation, observability, and rollback
• Partner with business, analytics, IT, and security teams to identify, prototype, and deliver high‑value AI use cases across the organization
• Evaluate and integrate AI and GenAI platform components such as model endpoints, vector databases, agent frameworks, and guardrails in alignment with enterprise architecture standards
• Contribute to AI governance by supporting model documentation, lineage, risk assessment, bias testing, explainability, and compliance with applicable regulations and frameworks
• Provide technical input into AI platform and vendor evaluations, including RFI/RFP activities and assessments of cost, security, and data residency
• Support AI enablement efforts through development of reusable patterns, reference implementations, and technical documentation to accelerate adoption
• Apply and uphold policies for AI lifecycle management, bias/robustness testing, explainability, human oversight, and incident response. Support mapping of AI controls to major frameworks and regulations (e.g., NIST AI RMF, EU AI Act readiness) to ensure responsible and compliant AI deployment.
• Ensure all data science work complies with global AI regulations, ethical standards, and applicable GxP processes.
• Participate in cross-functional AI Governance Council activities as requested, providing technical expertise on model risk and data science practices.
• Other duties as assigned

Education/Experience/Skills

• Master’s degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline, or equivalent practical experience
• 5+ years of hands‑on experience in applied data science and machine learning, including model development, deployment, and production support
• Advanced proficiency in Python and common ML frameworks and tools such as scikit‑learn, TensorFlow, PyTorch, and SQL
• Practical experience with ML Ops and LLM Ops practices including model registries, version control, evaluation benchmarks, and monitoring
• Experience working with large language models, GenAI technologies, vector databases, or agent frameworks
• Experience operating in a regulated environment and following GxP or similar compliance processes
• Willingness and ability to travel domestically and internationally

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID

#LI-CS1

Please note that this position can be based in Princeton, NJ, San Diego, CA, or San Francisco, CA. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Sr. Director, Commercial Advanced Analytics & Data Strategy is a strategic leadership role responsible for defining, building, and scaling the analytics capabilities, data strategy, and governance frameworks that enable commercial decision-making across the organization. This role ensures that high quality data, advanced analytics, and AI enabled insights are seamlessly integrated into commercial strategy, planning, launch execution, and in market optimization.  The Sr. Director serves as a strategic partner cross-functionally, translating business priorities into scalable analytics products and platforms while ensuring governance, compliance, and measurable business impact.

Over time, this role will build and mature commercial advanced analytics and data capabilities, establish fit‑for‑purpose operating models, and define future talent and capability needs to support the evolving business. The role will work closely with Acadia’s AI team, which provides shared AI expertise across Commercial and R&D, as well as with IT teams responsible for enterprise data, infrastructure, and platform enablement.

Primary Responsibilities

Commercial Analytics Strategy & Leadership

• Partner with Commercial leadership to define the advance analytics vision, strategy and initiatives that enables the development of scalable analytics and decision-support capabilities that drive business outcomes

• Lead and govern advanced analytics projects, predictive analytics, and AI/machine learning solutions  supporting brand strategy, launch planning, patient support, segmentation, targeting, omnichannel optimization, and sales effectiveness.

• Enable AI-driven commercial use cases such as next-best-action, customer engagement optimization, automated forecasting, and scenario planning.

• Balance innovation with rigor by ensuring analytics solutions are interpretable, validated, and compliant with internal and external requirements including privacy laws

• Translate commercial business questions into analytics use cases, models, and decision frameworks.

• Ensure analytics outputs and insights are actionable, adopted, and embedded into commercial planning, existing workflows, processes, systems and demonstrate measurable outcomes.

• Act as a trusted advisor to Commercial leadership, influencing decisions through data-driven insights

• Partner with the Enterprise AI team to identify, prioritize, and scale high-value AI and advanced analytic capabilities, solutions and governance.

Data Strategy, Governance and Cross-Functional Enablement Leadership

• Establish commercial data strategy to support the organization in achieving its business objectives. This includes leading the acquisition, implementation, and evolution of the commercial data assets, including syndicated claims, EMR, prescription, HUB/SP/Partner, promotional, and digital data.

• Partner cross-functionally with Enterprise Data, IT, and infrastructure teams to enable scalable data platforms, data pipelines, and tools that support analytics, AI, and self-service insights.

• Oversee vendor selection and management for data sources, analytics tools, and platforms.

• Establish governance frameworks for data access, analytics validation, and model lifecycle management.

• Collaborate with legal/compliance teams to mitigate risk and ensure compliance with HIPAA, GDPR, CCPA, and internal data privacy and security policies.

• Partner with IT data and infrastructure teams to align commercial analytics needs with enterprise architecture, platform standards, security requirements, and long-term data strategy.

Leadership & Communication

• Serve as a bridge between business stakeholders and technical teams, ensuring clarity of requirements and outcomes.

• Influence senior executives through concise storytelling, visualization, and business impact measurement.

• Build, lead, retain and mentor a high-performing team and capability in support of advanced analytics, data acquisition, and data governance, while fostering a culture of accountability, continuous improvement, and innovation.

• Assess and evolve organizational capabilities, talent, and ways of working needed to scale commercial advanced analytics over time.

• Other responsibilities as assigned.

Education/Experience/Skills

Bachelor’s degree in data science, statistics, engineering, computer science, or a related field; Advanced degree (MS, PhD, or MBA) preferred.  Targeting 12 years of progressively responsible experience in commercial analytics, data science, or data infrastructure data strategy, or related functions, with significant experience in biotech or pharmaceutical organizations.  An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Advanced analytics, modeling, and visualization tool experience (AI/ML, predictive analytics (Python), SQL, R and PowerBI).

• Experience working with modern data platforms and cloud technologies (e.g., Snowflake, Databricks, DataRobot, Dataiku, AWS, Azure, GCP).

• Deep experience and understanding of commercial datasets, data environments, and data vendors (including Hub, Specialty Pharmacy, patient services, Veeva CRM, syndicated claims, prescriptions, payer, social media/website, Google, Facebook etc.).

• Proven ability to lead cross-functional AI/ML and Analytical initiatives and influence senior stakeholders and to drive adoption of analytic solutions.

• Solid understanding of pharmaceutical commercialization concepts including launches, brand planning, and lifecycle management.

• Demonstrated experience in leading data governance initiatives and processes.

• Demonstrated ability to design and communicate complex systems and analytical solutions to both technical and non-technical audiences, aligning resources and execution to achieve functional and enterprise goals.

• Proven abilities with executive-level communication, data storytelling, and change leadership.

• Demonstrated impact of analytics on commercial strategy, decision making, performance, and ROI.

• Proven ability to lead, coach, and develop talent while building organizational capability in a fast-evolving environment.

• Experience partnering effectively with cross-functional partners and business stakeholders to deliver scalable analytics solutions.

• Ability to balance strategic vision with hands-on prioritization and execution in fast past environment.

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID #LI-CA1

Overview: 

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Senior Catastrophe Risk Analyst. 

In this role, you’ll play a critical part in advancing the scientific, statistical, and model-based understanding of catastrophe risk across perils such as hurricanes, earthquakes, wildfires, floods, and severe convective storms. You’ll support the development and evaluation of catastrophe models, enhance internal risk views, and deliver insights to inform underwriting, portfolio management, and reinsurance strategy. 

What you’d be doing: 

• Evaluate third-party catastrophe models (e.g., RMS, Verisk, CoreLogic) and contribute to the development of internal risk views. 
• Analyze large datasets (e.g., exposure data, claims data, hazard data) to assess model performance, validate assumptions, and identify improvement areas. 
• Conduct claims analysis, event response, and post-event analytics. 
• Support integration of climate science and emerging research into catastrophe risk analytics. 
• Collaborate with internal stakeholders (underwriting, actuarial, reinsurance, risk, and data science teams) to apply research findings to business decisions. 
• Design and implement tools, frameworks, or methodologies that improve model transparency and interpretability. 
• Monitor and interpret academic, regulatory, and industry developments in catastrophe risk science and modeling. 
• Ad hoc job duties as assigned.  

We’re looking for someone who has: 

• Advanced degree (Master’s or PhD) in Atmospheric Science, Hydrology, Earth Science, Engineering, Applied Mathematics, Statistics, or a related quantitative field. 
• 5+ years of experience in catastrophe modeling, natural hazard risk research, insurance analytics, or a related field. 
• Proficiency with catastrophe modeling platforms (RMS, Verisk, AIR, etc.). 
• Strong coding and data analysis skills (e.g., Python, R, SQL). 
• Experience working with geospatial data and tools (e.g., GIS, QGIS, ArcGIS). 
• Familiarity with stochastic simulation, probabilistic risk modeling, and related statistical methods. 
• Strong critical thinking, problem-solving, and research skills. 
• Excellent communication skills with the ability to explain complex concepts to non-technical audiences. 
• Proven ability to work collaboratively in cross-functional, research-driven environments. 

 Highly preferred candidates also have: 

• Experience in the (re)insurance, ILS, consulting, or catastrophe model vendor environment. 
• Experience developing internal catastrophe models or integrating third-party models into portfolio management workflows. 
• Familiarity with climate risk modeling and emerging methodologies in catastrophe risk R&D. 
• Demonstrated track record of publishing or presenting research in the field of natural hazard modeling or risk analytics. 

Catastrophe Risk R&D: 

At SageSure, the Catastrophe Risk R&D team is redefining how the industry understands and manages catastrophe risk. We operate at the intersection of science, technology, data, and industry insight, developing a proprietary view of risk that goes beyond traditional models. Our work shapes risk management strategy, capital allocation, and external market positioning, directly influencing how SageSure protects policyholders and partners in catastrophe-exposed regions. 

Join the team that sees risk differently—and proves it.

#LI-KW1

The role 

The Data Center Technician Manager leads hands-on technical teams responsible for cabling, hardware installation, and day-to-day data center operations. This role balances people leadership, technical execution, and operational rigor in a 24/7 mission-critical environment.

Your responsibilities will include: 

• Lead and mentor a team of data center technicians supporting fiber, copper cabling, racking, stacking, and infrastructure installs.
• Oversee installation, maintenance, and troubleshooting of low-voltage cabling and communications infrastructure.
• Ensure high-quality execution of fiber and copper terminations, testing, and remediation of complex issues.
• Own and enforce MOP/CMOP processes, change control, and operational best practices.
• Manage work through ticketing and infrastructure management systems, ensuring timely and accurate completion.
• Maintain accurate documentation, port maps, and inventory, supporting audits and operational readiness.
• Drive incident response and escalation for technical issues, ensuring SLA adherence and rapid resolution.
• Lead the use of specialized test equipment (e.g., DSX, OTDR), including test planning and results validation.
• Enforce safety, compliance, and quality standards, promoting a culture of accountability and operational excellence.
• Partner cross-functionally with operations, engineering, and project teams to support deployments, expansions, and upgrades.

We expect you to have: 

• Associate degree or equivalent hands-on experience in IT, networking, or technical services.
• 5+ years of data center or infrastructure experience, including cabling and hardware deployments.
• 2+ years of experience leading technical teams in a mission-critical environment.
• Strong working knowledge of structured cabling standards (BICSI, ANSI/TIA, NEC).
• Experience with fiber optics, copper cabling, servers, networking equipment, and power distribution basics.
• Ability to participate in on-call rotations and perform physical tasks (lifting up to 50 lbs).

It will be an added bonus if you have: 

• Bachelor’s degree in IT, Engineering, or related field.
• Industry certifications (e.g., BICSI, CDCP, CompTIA, ITIL).
• Experience in large-scale data center builds or migrations.
• Familiarity with Linux, scripting (Python/Bash), and data center management tools.
• Strong organizational, communication, and customer-facing skills.

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: up to $85/month for mobile and internet.
• Disability & life insurance: company-paid short-term, long-term and life insurance coverage.

Compensation

We offer competitive salaries ranging from $115K to $225K OTE, which includes base salary and bonus.

Join Nebius Today!

As we continue to grow, we’re seeking a Senior Software Engineer, Agentic Engineering to architect and ship autonomous systems that transform the software development lifecycle at Noom.

We are building a future where every step of product development, from ideation and prototyping to testing, deployment, and monitoring, is driven by intelligent, autonomous agents. This is not a theoretical exercise. This is a hands-on engineering role where you will design, build, and productionize agent-powered workflows that reshape how software gets made.

As a senior engineer embedded within Engineering and reporting to the CTO, you will operate at the intersection of LLM orchestration, developer tooling, and production infrastructure, turning manual, human-gated processes into reliable, observable, and autonomous pipelines.

You Will

• Architect and implement agent-driven systems that translate product requirements into executable specifications, generate code scaffolds, and produce working prototypes with minimal human intervention
• Design and build multi-agent coordination systems and custom orchestration layers to support complex development workflows
• Develop robust agent observability infrastructure, including telemetry, logging, evaluation pipelines, and failure-mode handling
• Productionize LLM-powered workflows using providers such as Anthropic Claude, OpenAI, and open-source models
• Build and integrate with CI/CD pipelines (GitHub Actions, ArgoCD, Jenkins) and infrastructure-as-code tooling (Terraform, Pulumi)
• Implement evaluation frameworks for LLM outputs, including automated evaluations, regression detection, and human-in-the-loop review
• Collaborate cross-functionally with product engineering, platform/infrastructure, and data science teams in small, high-autonomy squads
• Continuously evaluate emerging models, agent frameworks, and AI-native developer tools to evolve Noom’s agentic ecosystem

About You

You have shipped agentic systems to production, not just demos or prototypes, and understand the gap between a working notebook and a reliable, observable production agent. You think in systems, not scripts, designing for failure modes, observability, human escalation paths, and graceful degradation. You’re opinionated about a future software development lifecycle powered by agentic systems and are willing to lean into that future. You stay current with the rapidly evolving AI and agent ecosystem and can quickly evaluate new models, frameworks, and emerging patterns.

If you’re interested in shaping the future of health by building autonomous systems that redefine how software is created, this role may be for you!

You Have

• 5+ years of software engineering experience with hands-on development in languages such as Java, Python, Kotlin, and TypeScript
• Hands-on experience building with LLM APIs (OpenAI, Anthropic, open-source models), including prompt engineering, tool use, function calling, and structured outputs
• Experience with orchestration frameworks such as LangGraph, CrewAI, Autogen, or custom multi-agent systems (prototype or production)
• Familiarity with modern agentic development tools such as Claude Code, Cursor, and Codex
• Production experience with AWS, Kubernetes, CI/CD systems (GitHub Actions, ArgoCD), and infrastructure-as-code tools like Terraform
• Experience implementing evaluation frameworks for LLM outputs, including automated evaluations, regression detection, and human-in-the-loop review
  
  

What Makes This Job Amazing

• You’ll help define and build the future of agentic software development at scale
• Direct visibility and collaboration with executive leadership
• High autonomy, rapid iteration cycles, and the ability to ship transformative systems quickly
• The opportunity to pioneer production-grade, observable AI systems in a mission-driven health platform
  
  

What You'll Earn and Enjoy:

• Pay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value, not just the role you fill.
• Investment in your future. A 401(k) with company match to help you build long-term financial security.
• Time to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.
• Care that covers it all. Access to top-tier medical plans for you and your family, including a premium-free plan option, alongside dental, vision, and life insurance.
• Support for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.
• And more to help you thrive. Stock awards, performance-based bonus, and exclusive access to Noom’s products, so you can grow with us, win with us, and enjoy what we build.

The base salary range for this position is $165,000 - $195,000. Actual compensation is determined by job-related factors, including experience, skills, qualifications, and location. 

This role is based in our Princeton office with a hybrid schedule (2 days per week on-site).

More About Noom

Noom is a leading whole-person health platform on a mission to help people live better, longer. We combine personalized medication with the science of behavior change and psychology, to help people build lasting habits and live longer, healthier lives. With nationally-recognized, holistic programs spanning weight, diabetes prevention, GLP-1 support, menopause, longevity, and more, we serve millions through health plans, employers, and direct-to-consumer offerings. As a trailblazer in the world of health and wellness, Noom makes healthy living easy, fun, and deeply rewarding.

We’re more than a health tech company—we’re a movement. This belief extends to our culture: we empower our people to think big, act boldly, and take pride in their contributions to shaping the future of health. With a strong remote culture, as well as offices in NYC and Princeton, we’ve been named one of the Best Places to Work by Inc., Fortune, Glassdoor, and Quartz—including honors for technology and diversity.

Join us in shaping the future of health. You’ll be part of a passionate, mission-driven team working to make the world a healthier place—one habit at a time.

Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities.

To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @noom.com email address. Please ignore any messaging or communication from other domains (e.g. @noom.team). Noom will never ask you for personal payment, require you to purchase equipment, conduct an interview process or messaging exchange via Microsoft Teams, or extend a job offer without the completion of a multi-step interview process featuring a combination of phone, Zoom, and in-person interviews, as well as references. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to apply directly through our website.

About the Role

The Network Security Engineer will join the US Solutions Delivery team, implementing and supporting enterprise firewall and network security solutions across customer environments. This is a hands-on, delivery-focused role centered on Cisco ASA and FTD platforms, and NGFW deployments. The engineer owns assigned workstreams end-to-end - from lab validation through production cutover — and works closely with architects, project managers, and customer stakeholders. The engineer should be US Citizen and willingness to travel is required. 

Key Responsibilities

Firewall Deployment & Operations 

• Implement and configure enterprise firewall and network security solutions (NGFW/FTD, VPNs, NAT, NAC/ISE, SASE) in alignment with approved designs 
• Manage and maintain firewall policies, including access rules, NAT, objects, zones, and security profiles following best practices 
• Perform testing and validation of firewall rules and security configurations in lab or staging environments before production deployment 

Migration & Troubleshooting 

• Support firewall migrations from Cisco ASA and third-party platforms to Cisco FTD 
• Troubleshoot and resolve firewall and network security issues, including traffic drops, NAT issues, VPN failures, and routing/DNS/DHCP dependencies 
• Identify and implement opportunities for optimization and automation, such as rule cleanup, standardization, and workflow improvements 

Execution & Coordination 

• Collaborate with architects, senior engineers, and project managers to ensure accurate and timely solution delivery 
• Participate in project sync-ups and technical discussions to understand requirements, scope, and deployment sequencing 
• Take ownership of assigned tasks end-to-end, including escalation, root cause analysis (RCA), and issue resolution 

Documentation & Continuous Improvement 

• Create and maintain comprehensive documentation, including firewall rules, network diagrams, VPN inventories, and operational runbooks 
• Stay current on firewall platforms, SASE, Zero Trust, and network security practices, applying new learnings to day-to-day delivery work 

Basic Qualifications

• Candidate should be a US citizen. 
• Bachelor’s degree in computer science, Information Technology, Cybersecurity, or related field 
• 5-7 years of experience in cybersecurity, with a strong focus on firewall design and implementation 
• 4+ years of hands-on experience designing and implementing Cisco ASA and Cisco FTD firewall environments or any third-party firewalls such as Palo Alto/Fortinet/Checkpoint experience with limited Cisco Firewall experience. 
• Proven expertise in troubleshooting firewall and VPN connectivity issues, including NAT, routing, and policy-related problems 
• Good understanding of NGFW features such as malware protection, threat detection, URL filtering, SSL decryption, and Intrusion Prevention Systems (IPS); hands-on experience preferred 
• Experience working with multi-instance firewall environments 
• Strong understanding of core networking concepts: TCP/IP, DNS, DHCP, subnetting, NAT, VPNs, and routing/switching fundamentals 
• Willingness to travel across the U.S. to support customer deployments and firewall rollouts. 

Preferred Qualifications

• CCNP Security certification or equivalent demonstrated expertise 
• Experience with Cisco Secure Access, Umbrella, or XDR platforms. 
• Knowledge of Zero trust/SASE implementations. 
• Knowledge of Cisco ISE for NAC/802.1X integration alongside firewall deployments 
• Experience with security automation and scripting (Python, Ansible, APIs) 
• CISSP, GIAC, or other industry-recognized security certifications 
• Familiarity with compliance frameworks (PCI-DSS, HIPAA, SOC 2, NIST) 
• Prior experience in a consulting, professional services, or partner-led delivery model 

Salary Range 

$90,000 - $140,000 USD + Benefits 

This is a full-time role with Gruve. Please note that Gruve does not provide visa sponsorship for this position; candidates must be U.S. citizens to apply. This is an on-site role based in Edison, New Jersey. 

‍

Overview: 

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Senior Catastrophe Risk Analyst. 

In this role, you’ll play a critical part in advancing the scientific, statistical, and model-based understanding of catastrophe risk across perils such as hurricanes, earthquakes, wildfires, floods, and severe convective storms. You’ll support the development and evaluation of catastrophe models, enhance internal risk views, and deliver insights to inform underwriting, portfolio management, and reinsurance strategy. 

What you’d be doing: 

• Evaluate third-party catastrophe models (e.g., RMS, Verisk, CoreLogic) and contribute to the development of internal risk views. 
• Analyze large datasets (e.g., exposure data, claims data, hazard data) to assess model performance, validate assumptions, and identify improvement areas. 
• Conduct claims analysis, event response, and post-event analytics. 
• Support integration of climate science and emerging research into catastrophe risk analytics. 
• Collaborate with internal stakeholders (underwriting, actuarial, reinsurance, risk, and data science teams) to apply research findings to business decisions. 
• Design and implement tools, frameworks, or methodologies that improve model transparency and interpretability. 
• Monitor and interpret academic, regulatory, and industry developments in catastrophe risk science and modeling. 
• Ad hoc job duties as assigned.  

We’re looking for someone who has: 

• Advanced degree (Master’s or PhD) in Atmospheric Science, Hydrology, Earth Science, Engineering, Applied Mathematics, Statistics, or a related quantitative field. 
• 5+ years of experience in catastrophe modeling, natural hazard risk research, insurance analytics, or a related field. 
• Proficiency with catastrophe modeling platforms (RMS, Verisk, AIR, etc.). 
• Strong coding and data analysis skills (e.g., Python, R, SQL). 
• Experience working with geospatial data and tools (e.g., GIS, QGIS, ArcGIS). 
• Familiarity with stochastic simulation, probabilistic risk modeling, and related statistical methods. 
• Strong critical thinking, problem-solving, and research skills. 
• Excellent communication skills with the ability to explain complex concepts to non-technical audiences. 
• Proven ability to work collaboratively in cross-functional, research-driven environments. 

 Highly preferred candidates also have: 

• Experience in the (re)insurance, ILS, consulting, or catastrophe model vendor environment. 
• Experience developing internal catastrophe models or integrating third-party models into portfolio management workflows. 
• Familiarity with climate risk modeling and emerging methodologies in catastrophe risk R&D. 
• Demonstrated track record of publishing or presenting research in the field of natural hazard modeling or risk analytics. 

Catastrophe Risk R&D: 

At SageSure, the Catastrophe Risk R&D team is redefining how the industry understands and manages catastrophe risk. We operate at the intersection of science, technology, data, and industry insight, developing a proprietary view of risk that goes beyond traditional models. Our work shapes risk management strategy, capital allocation, and external market positioning, directly influencing how SageSure protects policyholders and partners in catastrophe-exposed regions. 

Join the team that sees risk differently—and proves it.

#LI-KW1

About the opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports organization-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven manager who is passionate about solving complex security problems in innovative and scalable ways. As a Manager of Security Engineering, you will own security engineering across Contentful’s corporate systems, including the tooling and platforms that support the internal security team. While this role does not own security for the customer facing product, you will partner closely with product security teams within the security organization on shared responsibilities.

You will balance people leadership with hands-on technical execution, including designing, building, and operating security controls and tooling at scale, with a particular focus on areas such as identity and access management, data security, and SaaS platforms. You will provide strategic guidance and lead initiatives while remaining directly involved in implementation. You may work independently at times, but will more often collaborate closely with security, IT, and cross-functional partners to align strategies, execute shared initiatives, and ensure comprehensive risk mitigation while minimizing impact on end users across the organization.

What to expect?

• Develop a team, providing coaching, mentorship, goal setting, and performance feedback.
• Define roles and make hiring decisions to grow the team in line with department needs.
• Remain hands on, balancing technical leadership with direct implementation work.
• Own execution and prioritization across projects and operations, using agile delivery practices.
• Scale and mature effectiveness and efficiency by improving processes and tooling.
• Champion continuous improvement across all aspects of the security program.
• Continuously improve effectiveness and efficiency by evolving processes and tooling.
• Communicate risks and technical concepts with clarity to leadership and stakeholders.
• Collaborate with security leadership to execute business aligned, risk reduction roadmaps.
• Shape work scope, sequencing, and success criteria inline with department and company needs.
• Drive security processes, standards, and best practices across information technology assets.
• Partner with stakeholders to evolve security awareness and specialized training across all functions.
• Mature capabilities across endpoint, SaaS, and cloud configuration.
• Own strategy evolution of corporate capabilities, including configuration, IAM, and data security.
• Enhance tooling, automation, and integrations to improve visibility and reduce manual effort.
• Support and guide security incident response efforts as a technical leader.
• Support cross functional vulnerability management while advancing the program capabilities.
• Define and maintain metrics to measure impact, optimize execution, and guide investment.
• Partner with cross-functional teams for security enhancement and drive risk reduction.
• Accelerate adoption of AI, balancing practicality enablement, and risk management.
• Stay current on threats, vulnerabilities, and tactics, translating insights into actionable strategies.

What you need to be successful?

• 8+ years of progressive engineering and security experience.
• 3+ years managing people and security engineering teams.
• Comfort operating in ambiguity, balancing strategic thinking, security, and practicality.
• Expertise with AWS, GCP, and Azure.
• Strong hands-on experience designing, implementing, and operating security controls at scale.
• Demonstrated experience securing endpoint, SaaS, and cloud environments.
• Experience working within identity and access management and data security programs.
• Software development experience in modern programming language (Python, Go, etc)
• Hands-on experience using Terraform and infrastructure-as-code.
• Experience applying modern practices to improve efficiency and scalability or security programs.
• Passion for solving complex security problems in innovative and scalable ways.
• Experience using metrics to measure impact, optimize execution, and guide investment decisions.
• Strong communication skills with the ability to explain technical topics to non technical audiences.
• Ability to support occasional off-hours incident response efforts.
• Familiarity with attacker techniques in cloud-native and traditional environments.
• Hands-on experience owning security technologies (e.g., EDR, AntiVirus, etc.)
• Proven ability to lead cross-functional initiatives and influence outcomes without direct authority.
• Experience owning end to end security programs, proactively driving incremental improvement.
• Strong systems thinking, with the ability to design security solutions that scale through efficiency.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

New Jersey Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of New Jersey if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

New Jersey Salary Range: $187,000 - $253,00

#LI-Remote

FEQ227R170

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

About the Role

As a Platform Engineer II, you will independently design and build small-to-medium AWS platform features. You will contribute to CI/CD pipelines, Kubernetes operations, and observability with growing autonomy.

Key Responsibilities

• Feature Ownership: Own platform features end-to-end, from design to production.
• Infrastructure & CI/CD: Build multi-environment CI/CD pipelines and deploy workloads via Terraform and Helm.
• Kubernetes Operations: Operate and troubleshoot AWS EKS clusters, including resource management and autoscaling.
• Security & Compliance: Manage AWS IAM roles and implement secure-by-default configurations aligned with NIST/CIS standards.
• Observability: Design SLOs and dashboards using CloudWatch or Datadog to improve reliability.
• AI Integration: Use AI tools (e.g., GitHub Copilot, Claude) to accelerate IaC development and scripting.

What We’re Looking For

• Experience: 2–4 years of production experience in cloud infrastructure or CI/CD.
• Education: BS in Computer Science or a related technical field.
• Skills: Proficiency in Python or Go; experience with AWS, Kubernetes, and Terraform.
• Certification: AWS Solutions Architect or SysOps Administrator Associate (or willingness to achieve within 12 months).

What You'll Learn

• Multi-region AWS architecture and advanced networking.
• FedRAMP Moderate compliance automation.
• Advanced Kubernetes operations and FinOps cost modeling.

Robots & Pencils is seeking a seasoned AWS AI Solutions Architect to lead the design and delivery of complex, enterprise-grade generative and agentic AI systems built on Amazon Web Services. You will architect scalable, secure, and production-ready AI platforms leveraging Amazon Bedrock, Amazon Bedrock AgentCore, AWS Strands Agents, AWS AgentCore Gateway, Nova Forge, Nova 2 Sonic, and related AWS AI/ML services. 
 
As an AWS AI Solutions Architect, you will serve as a strategic technical advisor—translating ambiguity into structured AWS-native architectures, validating designs through hands-on prototyping, and ensuring every solution aligns with the AWS Well-Architected Framework (including ML Lens) while delivering measurable business value. 

Key Responsibilities 

Client Engagement & AWS Solutions Architecture 

• Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production. 

• Lead architecture design using Amazon Bedrock (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway. 

• Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch. 

• Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives. 

• Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services. 

• Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles. 

Outcome Ownership & Business Impact 

• Own architectural integrity from concept through production deployment on AWS. 

• Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. 

• Guide clients through tradeoff decisions across model selection (Bedrock FMs vs custom SageMaker models), latency, cost, governance, and compliance. 
  Accelerate time-to-value through reusable AWS accelerators, Infrastructure as Code (CloudFormation/Terraform/CDK), and CI/CD automation. 

• Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities). 

Engineering Leadership & Delivery Excellence 

• • Provide architectural oversight to Forward Deployed Engineers and AWS delivery teams. 

• Establish best practices for MLOps on AWS including model lifecycle management, monitoring, and observability using SageMaker, CloudWatch, CloudTrail, and AWS Config. 

• Define governance, responsible AI guardrails, Bedrock Guardrails configuration, and security controls for enterprise environments. 

• Mentor engineers on AWS AI service integration, distributed systems design, and secure multi-account strategies. 

• Make principled tradeoffs under constraints related to privacy, compliance (SOC2, HIPAA, GDPR), cost, and operational complexity. 

Cross-Functional Collaboration 

• Partner with internal product, engineering, research, and customer success teams to evolve AWS-based AI offerings. 

• Contribute AWS reference architectures and reusable infrastructure modules to internal accelerators. 

• Support pre-sales engagements including architecture workshops, AWS migration strategy, and solution scoping. 

• Collaborate across distributed teams and client stakeholders across North America. 

Required Skills & Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 7–10+ years of experience in software engineering or cloud architecture with deep AWS ownership. 
  • Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services. 
  • Strong familiarity with SageMaker (training, deployment, pipelines), deep learning fundamentals, and model fine-tuning strategies. 
  • Experience architecting RAG, multi-agent, and orchestration systems using AWS-native services. 
  • Strong knowledge of distributed systems, event-driven architectures, and serverless patterns. 
  • Proficiency with Infrastructure as Code (AWS CDK, CloudFormation, Terraform). 
  • Hands-on development capability in Python and AWS SDKs. 
  • Experience implementing observability and monitoring strategies in AWS environments. 
  • Proven success leading enterprise-scale AWS transformations. 
  • Exceptional communication skills for both technical and executive audiences. 
  • AWS Professional Certifications highly preferred (AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional). 

Nice to Have 

• AWS Specialty certifications (Machine Learning – Specialty, Security – Specialty).
  • Experience with advanced agentic reasoning patterns (ReAct,CoT, Tree-of-Thoughts) implemented on Bedrock. 
  • Experience building secure multi-account AWS organizations using Control Tower. 
  • Exposure to data engineering services such as Glue, Redshift, Lake Formation. 
  • Consulting or professional services background. 

Personal Competencies 

• Accountability – Owns AWS architectural direction and client outcomes with rigor.
  • Adaptability – Rapidly adopts new AWS AI releases and evolving generative AI capabilities.
  • Collaboration – Builds trust across engineering and executive stakeholders. 
  • Execution-Focused – Balances innovation with production-ready AWS delivery. 
  • Innovation-Minded – Experiments responsibly with emerging AWS AI services. 
  • Craftsmanship – Designs secure, scalable, and well-documented AWS systems. 
  • Leadership with Courage – Drives architectural alignment in complex environments. 
  • Comfort in Ambiguity – Translates unclear AI requirements into AWS-native solution architectures. 

Why Join Robots & Pencils? 

We build smart systems for a human world — blending creativity, engineering, and AWS-powered AI to help organizations reimagine how they work. As an AWS AI Solutions Architect, you will shape enterprise-scale generative and agentic AI platforms using the most advanced AWS services available. You will define architectures that deliver measurable business value, mentor teams, and directly influence the evolution of our AWS AI practice. 

Job Title: AI Researcher (AI-Oriented Knowledge Systems)

Location: Piscataway, NJ

The estimated salary range for this role is $85,000 - $145,000 depending on experience. 

Responsibilities

Core Research Directions: Responsible for one or two of the following areas:

Knowledge Extraction & Structuring

• Research techniques for extracting structured knowledge from multi-source heterogeneous data (documents, web pages, databases, conversation logs)
• Design automated pipelines for entity recognition, relation extraction, and event detection
• Develop knowledge quality assessment and cleaning mechanisms to filter noise and conflicting information
• Explore LLM-assisted knowledge extraction methods, balancing automation efficiency with manual validation costs
• Research incremental knowledge extraction strategies to support continuous knowledge base updates and expansion

Knowledge Organization & Representation

• Design knowledge graph schemas and ontologies to build structured frameworks for domain knowledge
• Research Knowledge Embedding techniques to achieve fusion of knowledge and vector spaces
• Develop multi-level knowledge representation systems supporting coarse-to-fine granularity knowledge navigation
• Explore knowledge fusion and alignment techniques to resolve entity disambiguation and conflict resolution from multi-source knowledge
• Research knowledge version management and provenance mechanisms to ensure knowledge traceability

Knowledge Retrieval & Augmentation

• Optimize RAG (Retrieval-Augmented Generation) systems to improve retrieval accuracy and answer quality
• Research hybrid retrieval strategies combining vector search, keyword search, graph traversal, and other approaches
• Develop retrieval re-ranking algorithms to enhance Top-K result relevance
• Design retrieval-generation collaborative optimization mechanisms to reduce hallucinations and erroneous citations
• Explore retrieval feedback learning to continuously optimize retrieval strategies based on user behavior

Knowledge Reasoning & Question Answering

• Research knowledge graph-based reasoning techniques supporting multi-hop reasoning, logical reasoning, and causal reasoning
• Develop Complex QA systems supporting multi-condition and multi-step question answering
• Explore fusion methods combining LLMs with symbolic reasoning, leveraging advantages of both neural and symbolic approaches
• Design interpretability frameworks for reasoning processes, supporting answer provenance and reasoning chain visualization
• Research knowledge gap detection and active learning mechanisms to identify coverage blind spots in the knowledge base

Knowledge Update & Maintenance

• Design knowledge timeliness management mechanisms supporting knowledge expiration detection and automatic updates
• Research knowledge conflict detection and resolution strategies for handling contradictory information fusion
• Develop knowledge base health monitoring systems tracking coverage, accuracy, freshness, and other metrics
• Explore human-feedback-driven knowledge iteration mechanisms
• Research knowledge compression and summarization techniques to optimize storage efficiency and retrieval performance

Job Requirements

Basic Qualifications

• Master’s degree or above in Computer Science, Artificial Intelligence, Information Management, or related fields
• 3+ years of AI-related research or development experience with hands-on experience in knowledge graphs, RAG, or QA systems
• Publications in top-tier conferences (ACL, EMNLP, SIGIR, WWW, NeurIPS, etc.) preferred

Technical Skills

Programming & Engineering

• Proficient in Python with expertise in data processing and large-scale text processing techniques
• Familiar with mainstream NLP frameworks (spaCy, NLTK, HuggingFace Transformers, etc.)
• Experience with graph databases (Neo4j, NebulaGraph, JanusGraph, etc.)
• Familiar with vector databases (Milvus, Chroma, Weaviate, FAISS, etc.)

AI Expertise

• Deep understanding of core NLP technologies: entity recognition, relation extraction, text classification, semantic similarity
• Familiar with the full lifecycle of knowledge graph construction and application
• Proficient in RAG technology stack with hands-on experience in retrieval optimization, re-ranking, and answer generation
• Prior experience in vertical domain knowledge system construction and knowledge-driven LLM application deployment (e.g., healthcare, legal, finance, technology) preferred
• Familiar with multi-modal knowledge processing (text + image + table + structured data)

Data Processing

• Familiar with large-scale data processing technologies (Spark, Flink, Dask, etc.)
• Experience in data governance such as data cleaning, deduplication, and standardization preferred
• Familiar with common data formats and protocols (JSON, XML, RDF, OWL, etc.)

Research Capabilities

• Ability to conduct independent technical research, owning the full process from problem definition to solution deployment
• Strong literature review and summarization skills with ability to quickly absorb cutting-edge research findings
• Experimental design and evaluation capabilities, able to design proper comparative and ablation studies

Soft Skills

• Strong interest in the intersection of knowledge engineering and AI, keeping up with latest domain developments
• Excellent communication and collaboration skills, able to work efficiently with engineering and product teams
• Systems thinking ability to approach knowledge system design from an overall architecture perspective

#LI-EB1

#GS

Job Title: AI Researcher (Agentic AI System Architecture)

Location: Piscataway, NJ

The estimated salary range for this role is $85,000 - $145,000 depending on experience. 

Responsibilities

Core Research Directions, responsible for one or two of the following areas:

Harness Architecture Design & Implementation

• Research and design Agent execution framework, providing standardized runtime environment for intelligent agents
• Implement tool call orchestration mechanism, supporting unified abstraction for function calling, API integration, and external system interaction
• Build execution sandbox environment to ensure safety and controllability of Agent operations
• Design task decomposition and planning engine, supporting automatic breakdown of complex goals and execution path optimization
• Implement execution state tracking and anomaly recovery mechanisms to ensure reliability of long-running tasks

Memory System Architecture Development

• Design hierarchical memory architecture, covering storage and retrieval mechanisms for working memory, short-term memory, and long-term memory
• Research memory compression and summarization techniques, enabling efficient storage of massive interaction history while preserving key information
• Build context-aware memory system, supporting multi-dimensional memory association based on time, task, and user
• Develop memory retrieval augmentation mechanisms, achieving deep integration of RAG and Agent memory
• Explore memory forgetting and update strategies, balancing memory capacity with information timeliness

Multi-Agent Collaboration Architecture

• Research multi-Agent system architecture, design communication protocols and collaboration mechanisms between Agents
• Implement role specialization and task allocation algorithms, supporting orchestration of expert Agents, coordinator Agents, executor Agents, and other roles
• Build consensus achievement and conflict resolution mechanisms to handle decision disagreements among multiple Agents
• Design Agent social behavior norms, simulating communication, negotiation, and feedback patterns in human team collaboration
• Explore emergent behavior and collective intelligence, researching self-organization and adaptive capabilities in multi-Agent systems

General Architecture Capabilities

• Design Agent evaluation and benchmarking system, establishing quantitative capability metrics
• Build Agent behavior interpretability framework, supporting decision process tracing and attribution analysis
• Research Agent safety alignment mechanisms to prevent risks such as unauthorized operations, harmful outputs, and goal drift
• Track cutting-edge Agentic AI research and translate academic achievements into engineering practice

Job Requirements

Basic Qualifications

• Master’s degree or above in Computer Science, Artificial Intelligence, Cognitive Science, or related fields
• 3+ years of AI-related research or development experience, with hands-on experience in Agentic AI and LLM application architecture
• Publications in top-tier conferences (NeurIPS, ICML, ACL, EMNLP, etc.) are preferred

Technical Skills

Programming & Engineering

• Proficient in Python, familiar with asynchronous programming, concurrency control, and performance optimization
• Familiar with mainstream LLM frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, etc.)
• Experience in large-scale distributed system design and implementation
• Familiar with containerization technologies such as Docker and Kubernetes

AI Expertise

• Deep understanding of Transformer architecture and large model principles
• Familiar with Prompt Engineering, Function Calling, Tool Use, and related technologies
• Experience in RAG system development, familiar with vector retrieval, text Embedding, re-ranking, and related techniques
• Understanding of reinforcement learning fundamentals; experience with RLHF, DPO, and related methods is a plus

Architecture Design

• Capable of system architecture design, able to independently complete technical solution design for complex modules
• Familiar with design patterns and software engineering best practices
• Good habits in technical documentation writing

Research Capabilities

• Ability to conduct independent technical research, responsible for the entire process from problem definition to solution implementation
• Strong literature reading and summarization skills, able to quickly absorb cutting-edge research achievements
• Capability in technology selection and evaluation, able to make reasonable decisions among multiple solutions

Soft Skills

• Strong passion for AI technology, keeping up with the latest developments in the Agentic AI field
• Excellent communication and collaboration skills, able to work efficiently with engineering teams
• Critical thinking ability, capable of objectively evaluating and iteratively optimizing technical solutions

Preferred Qualifications

• Contributions to Agent framework open-source projects (e.g., LangChain, AutoGen, LlamaIndex)
• Production-level Agent system deployment experience with 10,000+ daily task processing
• Familiarity with cognitive science and human decision-making theory, able to apply them to Agent architecture design
• Research experience in Embodied AI or robotics
• Familiarity with Graph Neural Networks, Knowledge Graphs, and related project experience
• Entrepreneurial experience or experience building AI products from 0 to 1

#LI-EB1

#GS

Rubrik is changing the way enterprises work by transforming the way Systems Integrators and the managed services community that support our joint customer base do business. Using Rubrik’s unique Data Management technology, partners can develop & implement next generation data services.  This role will allow you the opportunity to help build new lines of business for both Rubrik and its partners.

Rubrik Cloud Data Management is a single software fabric that manages all application data in the cloud, at the edge, and on-premises.  This includes backup, recovery, archival, analytics, development, and integration with today’s major public cloud providers. Rubrik enables hybrid cloud enterprises to mobilize applications across clouds, automate intelligent orchestration workflows to enable self-service, and search and analyze application data at scale.

Rubrik has partnered with the World’s leading Global Systems Integrators to develop successful and profitable outcomes for all involved parties. The GSI Sales Engineer candidate will be responsible for building services, driving pipelines for those services, and the broad and deep enablement of select Global Systems Integrators. The GSI Sales Engineer comes to the role with a background that includes: service creation, revenue modeling, large technical proposal authoring, and a successful track-record of managing the technical element of Global partnerships. In addition to the business skills needed, successful candidates will need to demonstrate a high technical acumen with respect to storage, virtualization, and windows/linux management.   SD-WAN and Scripting (python and PowerShell) are highly desirable skills.  This candidate will lead from the front, communicate openly, and set the example of a positive and collaborative work environment.

Required capabilities & experience:

• Successful experience partnering with Global GSIs to create and consume services 
• Provides technical leadership and direction to partners and internal staff in the development of fully integrated technology solutions   
• Architectural experience in complex infrastructures including virtualization, application high-availability, distributed systems, file systems, RDBMS, disaster recovery, public cloud, and security
• Acts as technical expert to develop partner delivered solutions that meet the technology and business requirements
• Serves as a trusted technology advisor and that delivers technical and sales presentations to partners’ technical staff and senior management
• Exemplary relationship building skills with proven ability to drive lasting relationships of mutual value with partners and sales team

Desired capabilities & experience:

• 7-8+ years of sales engineering experience preferably in a software or data center environment
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Follow Up - thrives in a moving, fast-paced environment handling multiple activities per day with immediate follow up
• High business acumen and experience working with CxO level personnel, bringing technology solutions to solve complex business challenges
• Ability to demonstrate Rubrik’s RIVET values. To be a role model leading as part of a united management team, collaborating, creating a positive environment

#LI-MR2 

Hudson River Trading (HRT) is seeking a hands-on Data Center Technician with experience in data center operations to join our Trading Infrastructure (SysTrade) team. If you enjoy solving complex infrastructure challenges, working with cutting-edge technology, and thrive in a fast-paced, global environment, we’d love to hear from you.

In this role, you’ll play a critical part in building and maintaining the high-performance infrastructure that powers HRT’s global trading operations. You’ll be responsible for everything from racking and cabling to planning large-scale deployments—ensuring our colocations remain robust, efficient, and low-latency.

Responsibilities

• Plan, execute, and document data center installations, upgrades, and maintenance projects
• Travel to regional and remote data centers to lead infrastructure projects and ongoing operational work
• Oversee and coordinate remote hands tasks
• Install and document racks, structured cabling, servers, switches, PDUs, and other hardware per HRT’s regional and global standards
• Manage equipment inventory, forecast hardware needs, and coordinate logistics
• Collaborate closely with cross-functional teams, vendors, and partners to ensure infrastructure uptime and performance

Qualifications

• 3+ years of hands-on experience in high-availability or financial colocation environments
• Strong understanding of data center power systems, redundancy, and infrastructure design
• Deep knowledge of copper and fiber cabling, including best practices for structured cabling
• Familiarity with rack-level cooling and airflow management
• Proven experience building PC/server hardware—bonus points for overclocking expertise
• Comfortable using Linux (especially bash) and troubleshooting serial console access
• Proficient with hand tools and able to lift up to 30 lbs of equipment
• Bonus: Python or shell scripting experience
• Clear communicator who enjoys cross-team collaboration
• Highly organized and able to manage multiple priorities under minimal supervision
• Proactive problem solver with a passion for learning and evolving alongside new technologies
• Willing to travel regularly and thrive in a dynamic, hands-on environment

The estimated base salary range for this position is 80,000 to 120,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

About the Role

The Network Security Engineer will join the US Solutions Delivery team, specializing in Cisco Identity Services Engine (ISE) and Network Access Control (NAC) deployments across enterprise customer environments. This is a hands-on, delivery-focused role centered on designing, implementing, and troubleshooting Cisco ISE-based NAC solutions including 802.1X, MAB, posture assessment, profiling, and guest services. The engineer also supports Cisco firewall platforms (ASA and FTD/NGFW) as a secondary discipline. The role owns assigned workstreams end-to-end — from lab validation through production cutovers — and works closely with architects, project managers, and customer stakeholders. 

Key Responsibilities

Cisco ISE / NAC Deployment & Operations  

• Design, deploy, and configure Cisco ISE for 802.1X wired/wireless, MAB, and CWA; manage policy sets, authentication/authorization, profiling, posture, and guest workflows end-to-end 
• Integrate ISE with Active Directory, LDAP, PKI/CA, and MFA; manage distributed ISE deployments (PAN, PSN, MnT) with HA and scalability; deploy RADIUS/TACACS+ for network device administration 
• Configure endpoint compliance/posture modules (AV, patch, OS); manage guest, sponsor portals, and BYOD onboarding; support TrustSec (SGT/SXP) segmentation 
• Troubleshoot RADIUS failures, authentication timeouts, profiling inconsistencies, and policy mismatches with root cause analysis 

Cisco Firewall Deployment & Operations: 

• Design, implement, and configure Cisco FTD and ASA firewalls, including HA setups and scalable architectures 
• Manage and optimize access control rules, NAT, security zones, and NGFW features IPS/IDS, URL filtering, Malware Policy, SSL decryption, and VPN (SSL/IPSec) 
• Troubleshoot firewall and VPN connectivity issues including NAT, routing, SSL/IPSec VPN failures, and policy-related problems 

Execution & Coordination 

• Collaborate with architects, senior engineers, and project managers to ensure accurate, timely solution delivery, while actively participating in project discussions to understand requirements, scope, and deployment sequencing 
• Take end-to-end ownership of assigned tasks, including escalation, root cause analysis (RCA), and issue resolution  

Documentation & Continuous Improvement 

• Create and maintain comprehensive documentation including ISE policy matrices, network access diagrams, RADIUS/TACACS inventories, and operational runbooks 
• Document firewall rules, VPN inventories, NAT tables, and change records for audit and compliance purposes 
• Stay current on Cisco ISE releases, NAC trends, Zero Trust Network Access (ZTNA), and SASE architectures, applying new learnings to delivery work 

Basic Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or a related field 
• 3–5 years of cybersecurity experience with a strong focus on NAC and identity-based access control; 3+ years hands-on with Cisco ISE or similar NAC solutions (e.g., FortiNAC, Aruba ClearPass) 
• Strong knowledge of 802.1X (EAP-TLS, PEAP, TEAP), certificate-based authentication, and integrations with AD, LDAP, PKI, and RADIUS/TACACS+ 
• 3+ years of hands-on experience with Cisco ASA/FTD firewalls (NGFW, VPN, NAT) or equivalent experience with third-party firewalls (Palo Alto, Fortinet, Check Point) 
• Solid understanding of networking fundamentals: TCP/IP, DNS, DHCP, VLANs, trunking, and routing/switching 
• Experience with Cisco Catalyst/Nexus switches for NAC enforcement (802.1X, MAB) 
• Willingness to travel across the U.S. to support deployments 

Preferred Qualifications

• CCNP Security or equivalent certification (ISE/NAC specialization preferred); CISSP, GIAC, or other security certifications a plus 
• Experience with TrustSec/SGT/SXP, DUO MFA/ZTNA integration, Cisco Umbrella, and Cisco XDR 
• Familiarity with SASE/Zero Trust architectures and security automation (Python, Ansible, APIs) 
• Knowledge of compliance frameworks (PCI-DSS, HIPAA, SOC 2, NIST); prior consulting or professional services experience preferred. 

Salary Range 

$65,000 - $110,000 USD + Benefits 

This is a full-time position with Gruve and is based onsite at our Edison, New Jersey office & Plano, Dallas Office. Please note that Gruve does not provide visa sponsorship for this role; candidates must be U.S. citizens.

‍

Job Description

As an AI Integration Engineer you will play a pivotal role in developing and implementing artificial intelligence solutions that will transform our internal systems and operations. You will work closely with others in the technology team and across various departments to identify areas where AI can improve efficiencies and drive data-driven decision-making. This is a technical hands-on role helping to configure and optimize a variety of technologies.

What you’ll do: 

• Set up and configure the next generation of AI software.
• Design and build integrations for AI tooling to core systems and data.
• In a fast-moving space you’ll be exposed to new tools on a regular basis.
• Integrate AI tools with existing data and systems via API’s and automations.
• Collaborate with various departments to understand their requirements and provide AI solutions.
• Ensure seamless integration and functionality of AI tools within the cloud infrastructure.
• Stay updated with the latest advancements in AI and related technologies.
• Troubleshoot and resolve any issues related to AI tools and their integration.
• Provide training and support to team members on the use of AI tools.

What you should have: 

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of proven experience as a technology professional in a cloud first and progressive IT environment.
• Strong understanding of and a passion for AI.
• Familiarity with the latest LLMs and AI products and their capabilities.
• Proven experience in setting up and configuring AI tools.
• Strong understanding of cloud-based infrastructure and services.
• Ability to switch between different technologies and quickly master new ones.
• Experience in scripting languages such as Python, Ruby, or JavaScript.
• Familiarity with data formats such as JSON, XML, and CSV, and their transformations.
• Experience with OpenAI, Workato and Databricks is preferred.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Passion for technology and continuous learning.
• Healthcare or Advertising industry experience a plus
• Ability to work in an Agile environment and handle multiple projects simultaneously.

This position is a perfect fit for you if: 

• ​Our Company values – Best Together, Impact-Obsessed, Excellence Expected, Evolve Always and Accountability with an “I” – really speak to you. 

• You are adaptable, resilient, and OK with adjusting your scope, responsibilities, and focus as we grow. When things change, so do we. We’re always evolving. 
• You are proactive, driven, and resourceful with strong prioritization skills and a desire to dive into the data. 
• You are highly organized self-starter, able to work independently and under tight deadlines. 

Pay Range: $110,000-$120,000

This is the pay range the Company believes it will pay for this position at the time of this posting.  Consistent with applicable law, compensation will be determined based on job-related, non-discriminatory factors including but not limited to work experience, skills, certifications, and geographical location. The Company reserves the right to modify this pay range at any time

Overview: 

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking an Actuarial Analyst who will be a member of the Actuarial Student Program (ASP). This position provides an opportunity to take on a role in an entrepreneurial culture and gain a broad perspective across the insurance business. As a member of either the Commercial Actuarial team, you will be asked to assist in providing technical and analytical assessments of complex business issues related to the development of new property products and maintenance of existing ones, utilizing actuarial techniques to assist in the development and maintenance of sophisticated pricing plans. 

Working on the Actuarial team at SageSure, the largest independent residential managing general underwriter (MGU) in the U.S., offers a broad range of opportunities and experiences to advance your career. You’ll not only be predicting and modeling risk in some of America’s most challenging markets but will also be working in multiple actuarial disciplines, including pricing, product development, ratemaking, reserving, and advanced analytics. At SageSure, you’ll gain hands-on experience working on challenging assignments and make data-driven decisions to help solve business problems. Our tight-knit, collaborative team regularly presents our findings to senior management and frequently collaborates across the company with our underwriting, marketing, program operations, and software teams. We provide the support you’d expect—including a rotational program and exam assistance—to develop and champion your whole career.  

 What you’d be doing: 

• Assist the team in the evaluation of rate adequacy/indications. 

• Support the sophistication of large account pricing. 

• Provide analytical support on portfolio risk evaluation. 

• Complete support documentation for product filings with Departments of Insurance and assist with responses to rate-related inquiries. 

• Assist with research projects including developing predictive models and visualizing results to support business decisions. 

• Perform competitive intelligence analysis. 

• Utilize and/or create models to assess profitability in current rating structures. 

We’re looking for someone who has: 

• Bachelor’s Degree in Actuarial Science or STEM-related field. 

• 0-3 years of experience in an actuarial role. 

• Passage of one or more actuarial exams with the goal of attaining ACAS/FCAS. 

• Solid analytical, problem-solving, and reasoning skills. 

• Strong communication skills with both technical and non-technical resources. 

• Proficient with Microsoft Office suite. 

• Strong technical skills with understanding of Python, R, or SQL. 

• Deep desire to learn. 

• Ability to work independently and as a team member. 

• To qualify, all applicants must be authorized to work in the United States. 

Highly preferred candidates also have: 

• Proficiency in Python, R, and/or SQL programming language. 

• Prior internship experience. 

Working on the Actuarial team at SageSure, the largest independent residential managing general underwriter (MGU) in the U.S., offers a broad range of opportunities and experiences to advance your career. You’ll not only be predicting and modeling risk in some of America’s most challenging markets but will also be working in multiple actuarial disciplines, including pricing, product development, ratemaking, reserving, and advanced analytics. At SageSure, you’ll gain hands-on experience working on challenging assignments and make data-driven decisions to help solve business problems. Our tight-knit, collaborative team regularly presents our findings to senior management and frequently collaborates across the company with our underwriting, marketing, program operations, and software teams.

What you will be doing:

• Manage interns and lead work streams and projects tied to company goals.
• Mentor actuarial team members.
• Continuously sophisticate and advance the science of core actuarial analytics.
• Lead/Assist the team in the evaluation of rate adequacy / indications.
• Support the sophistication of large account pricing.
• Complete support documentation for product filings with Departments of Insurance and assist with responses to rate related inquiries.
• Lead/Assist with research projects including developing predictive models and visualizing results to support business decisions.
• Perform competitive intelligence analysis.
• Utilize and/or create models to assess profitability in current rating structures.

We’re looking for someone who has:

• Bachelor’s degree in Actuarial Science or STEM-related field.
• 2-4 years of experience in an actuarial role.
• Passage of three or more actuarial exams with the goal of attaining ACAS/FCAS.
• Solid analytical, problem-solving, and reasoning skills.
• Strong communication skills with both technical and non-technical resources.
• Procactive and collaborative approach to guiding projects across multiple stakeholders
• Proficient with Microsoft Office suite.
• Strong technical skills with proficiency in Python, R, or SQL.
• Deep desire to learn.
• Ability to work independently and as a team member.
• Proven organizational and time-management skills; strong attention to detail.
• Demonstrate understanding and knowledge of key business drivers e.g. underwriting, product, reinsurance, and industry trends.
• Strong problem-solving and decision-making skills; ability to think critically and strategically.
• To qualify, all applicants must be authorized to work in the United States.

Working on the Actuarial team at SageSure, the largest independent residential managing general underwriter (MGU) in the U.S., offers a broad range of opportunities and experiences to advance your career. You’ll not only be predicting and modeling risk in some of America’s most challenging markets but will also be working in multiple actuarial disciplines, including pricing, product development, ratemaking, reserving, and advanced analytics. At SageSure, you’ll gain hands-on experience working on challenging assignments and make data-driven decisions to help solve business problems. Our tight-knit, collaborative team regularly presents our findings to senior management and frequently collaborates across the company with our underwriting, marketing, program operations, and software teams.

What you will be doing:

• Manage interns and lead work streams and projects tied to company goals.
• Mentor actuarial team members.
• Continuously sophisticate and advance the science of core actuarial analytics.
• Lead/Assist the team in the evaluation of rate adequacy / indications.
• Support the sophistication of large account pricing.
• Complete support documentation for product filings with Departments of Insurance and assist with responses to rate related inquiries.
• Lead/Assist with research projects including developing predictive models and visualizing results to support business decisions.
• Perform competitive intelligence analysis.
• Utilize and/or create models to assess profitability in current rating structures.

We’re looking for someone who has:

• Bachelor’s degree in Actuarial Science or STEM-related field.
• 2-4 years of experience in an actuarial role.
• Passage of three or more actuarial exams with the goal of attaining ACAS/FCAS.
• Solid analytical, problem-solving, and reasoning skills.
• Strong communication skills with both technical and non-technical resources.
• Procactive and collaborative approach to guiding projects across multiple stakeholders
• Proficient with Microsoft Office suite.
• Strong technical skills with proficiency in Python, R, or SQL.
• Deep desire to learn.
• Ability to work independently and as a team member.
• Proven organizational and time-management skills; strong attention to detail.
• Demonstrate understanding and knowledge of key business drivers e.g. underwriting, product, reinsurance, and industry trends.
• Strong problem-solving and decision-making skills; ability to think critically and strategically.
• To qualify, all applicants must be authorized to work in the United States.

Working on the Actuarial team at SageSure, the largest independent residential managing general underwriter (MGU) in the U.S., offers a broad range of opportunities and experiences to advance your career. You’ll not only be predicting and modeling risk in some of America’s most challenging markets but will also be working in multiple actuarial disciplines, including pricing, product development, ratemaking, reserving, and advanced analytics. At SageSure, you’ll gain hands-on experience working on challenging assignments and make data-driven decisions to help solve business problems. Our tight-knit, collaborative team regularly presents our findings to senior management and frequently collaborates across the company with our underwriting, marketing, program operations, and software teams.

What you will be doing:

• Manage interns and lead work streams and projects tied to company goals.
• Mentor actuarial team members.
• Continuously sophisticate and advance the science of core actuarial analytics.
• Lead/Assist the team in the evaluation of rate adequacy / indications.
• Support the sophistication of large account pricing.
• Complete support documentation for product filings with Departments of Insurance and assist with responses to rate related inquiries.
• Lead/Assist with research projects including developing predictive models and visualizing results to support business decisions.
• Perform competitive intelligence analysis.
• Utilize and/or create models to assess profitability in current rating structures.

We’re looking for someone who has:

• Bachelor’s degree in Actuarial Science or STEM-related field.
• 2-4 years of experience in an actuarial role.
• Passage of three or more actuarial exams with the goal of attaining ACAS/FCAS.
• Solid analytical, problem-solving, and reasoning skills.
• Strong communication skills with both technical and non-technical resources.
• Procactive and collaborative approach to guiding projects across multiple stakeholders
• Proficient with Microsoft Office suite.
• Strong technical skills with proficiency in Python, R, or SQL.
• Deep desire to learn.
• Ability to work independently and as a team member.
• Proven organizational and time-management skills; strong attention to detail.
• Demonstrate understanding and knowledge of key business drivers e.g. underwriting, product, reinsurance, and industry trends.
• Strong problem-solving and decision-making skills; ability to think critically and strategically.
• To qualify, all applicants must be authorized to work in the United States.

Your opportunity

Join our team as a Solutions Architect, a critical role focused on the technical design, deployment, and adoption of the New Relic Observability platform for our most strategic customers. You will serve as the deep technical expert, translating complex customer needs into robust, scalable, and automated Observability solutions.

In this role, you will bridge the gap between our product capabilities and the customer's modern, often cloud-native, application and infrastructure environments. You will architect solutions that leverage Platform Engineering best practices, integrating New Relic seamlessly into their CI/CD pipelines, automation frameworks, and internal developer platforms to drive wall-to-wall observability. Your success will be measured by the depth of technical value realized and the long-term strategic adoption of the platform across customer organizations.

What you'll do

• Architect and Design: Lead the technical design and architecture of comprehensive New Relic solutions, focusing on large-scale deployment, data correlation strategies, and best practices for instrumenting microservices, serverless, and complex distributed systems.
• Platform Integration & Automation: Design and implement automated deployment and configuration solutions for New Relic using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) and scripting (e.g., Python, Go, Shell). Deeply integrate Observability into customer's Platform Engineering and CI/CD workflows (e.g., Jenkins, GitLab, GitHub Actions).
• Technical Leadership: Serve as the subject matter expert on Observability concepts, APM, Infrastructure Monitoring, and Log Management. Lead technical workshops and design sessions with customer architects, engineers, and leadership to define the implementation roadmap.
• Troubleshooting and Optimization: Provide advanced technical guidance during initial deployments and optimization phases, addressing complex data ingestion, performance, and platform configuration challenges.
• Knowledge Transfer & Best Practices: Create and deliver technical documentation, blueprints, and training to enable customer Platform teams and internal Professional Services/Partner resources to confidently manage and extend the implemented solution.

This role requires 

• Extensive Technical Experience: 5+ years of hands-on experience in a technical consulting, solutions architecture, or senior engineering role, specifically focused on cloud and application performance technologies.
• Platform Engineering Mastery: Proven, extensive experience with core Platform Engineering concepts, including building and maintaining automated, self-service infrastructure and delivery pipelines.
• Automation and DevOps Proficiency: Deep expertise in Automation, Scripting (e.g., Python), and CI/CD practices and tools. Experience with containerization (Docker, Kubernetes) is highly valued.
• Observability Expertise: Exceptional knowledge and practical experience with Observability concepts (The Three Pillars) and products (New Relic, Datadog, Dynatrace, etc.) is extremely important. You can articulate the 'why' and 'how' of Observability to technical and non-technical audiences.
• Cloud Proficiency: Hands-on experience designing and deploying solutions on major cloud providers (AWS, Azure, or GCP).
• Consultative Influence: Strong communication and presentation skills with the ability to influence senior technical stakeholders and drive consensus on complex technical architectures.

Please note that visa sponsorship is not available for this position.

#LI-MM4  #LI-Insert work arrangement tag

FEQ227R233

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.

• Coach junior Solutions Architects and teams on use case prioritization and building technical champions.

• You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.

• Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.

• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.

• Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
  
  

What we look for:

• Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.

• Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.

• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.

• Hands-on expertise with complex proofs-of-concept and public cloud platform(s).

• Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.

COMPANY OVERVIEW

Lynx Analytics was founded in 2010 by a group of INSEAD students and professors with a strong research background in graph analytics. Several of our founders since then became professors and faculty directors of analytics centers at leading US universities. Our founding purpose? To apply graph theory to simplify and solve complex, real-world business problems.

Our mission has evolved over the years, and we currently offer a range of cutting edge data analytics and AI solutions to help companies transform their operations and optimise their commercial performance. Back then, graph theory was mostly the purview of social networking sites. We wanted to expand this technology and help companies leverage their communities to unlock greater growth.

Lynx has offices in Singapore, US, Hong Kong, Hungary, and operations in several other countries such as Canada, Germany, Indonesia. We work with some of the world’s largest companies and are constantly looking to expand our knowledge base and geographical footprint. Lynx Analytics’ technology is deployed with various Clients internationally and has significant growth potential.

We have a diverse and inclusive global team comprising Professors, PhDs, MSc’s, and MBAs from Ivy Leagues, INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, Palantir, Katana Graph to name but a few). It is the combination of our industry insight and experience, scalable proprietary technology, and highly qualified people that drives our compelling value proposition.

We are looking for ambitious, innovative, empathetic and relentless team players to explore the career opportunities that we offer as we continue to scale our operations.

About the Role:

We are looking for a Senior Software Engineer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions. You will lead system architecture, cloud deployments, and modern containerized environments, while collaborating with multidisciplinary teams across regions.

What This Involves: 

• Design, develop, and maintain high-quality software solutions using Python.
• Contribute to the design and evolution of scalable and maintainable software architectures.
• Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP).
• Build and manage containerized applications using Docker and Kubernetes.
• Support the development and deployment of AI and analytics solutions, working closely with data scientists and data engineers.
• Collaborate with cross-functional and client-facing teams to deliver end-to-end solutions.
• Participate in technical discussions, architectural reviews, and continuous improvement initiatives.

Skills, Qualifications and Experience: 

• Strong Python knowledge with experience building production-grade software.
• Experience designing software architectures for scalable applications.
• Hands-on experience operating and deploying solutions in cloud environments (any major cloud provider).
• Practical knowledge of container technologies and architectures, including Docker and Kubernetes.
• Basic understanding of AI solution components and technologies, such as LLMs, vector databases, APIs/protocols, and supporting infrastructure.
• Experience in systems design, particularly in cloud-native or distributed environments.
• Experience creating project implementation plans, timelines, and effort estimations.
• Experience leading or mentoring engineering teams and driving projects to completion.

Why You Will Love It Here: 

• Work on real-world AI and advanced analytics solutions with measurable business impact.
• Collaborate with a global team of engineers and data scientists.
• Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
• A collaborative culture that values real outcomes
• High ownership, zero micromanagement
• Rapid learning opportunities and diverse challenges
• Flexible work hours, remote-friendly setup
• Flat organisational hierarchy with high visibility and accessibility to our leaders

COMPANY OVERVIEW

Lynx Analytics was founded in 2010 by a group of INSEAD students and professors with a strong research background in graph analytics. Several of our founders since then became professors and faculty directors of analytics centers at leading US universities. Our founding purpose? To apply graph theory to simplify and solve complex, real-world business problems.

Our mission has evolved over the years, and we currently offer a range of cutting edge data analytics and AI solutions to help companies transform their operations and optimise their commercial performance. Back then, graph theory was mostly the purview of social networking sites. We wanted to expand this technology and help companies leverage their communities to unlock greater growth.

Lynx has offices in Singapore, US, Hong Kong, Hungary, and operations in several other countries such as Canada, Germany, Indonesia. We work with some of the world’s largest companies and are constantly looking to expand our knowledge base and geographical footprint. Lynx Analytics’ technology is deployed with various Clients internationally and has significant growth potential.

We have a diverse and inclusive global team comprising Professors, PhDs, MSc’s, and MBAs from Ivy Leagues, INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, Palantir, Katana Graph to name but a few). It is the combination of our industry insight and experience, scalable proprietary technology, and highly qualified people that drives our compelling value proposition.

We are looking for ambitious, innovative, empathetic and relentless team players to explore the career opportunities that we offer as we continue to scale our operations.

About the role:

We are looking for a Senior Data Scientist to work on and lead complex data analysis projects using standard modelling, data transformation approaches and Generative AI. 

They should be comfortable working with very large data sets residing in different data stores in disparate formats. The role requires the candidate to be strong with hands-on implementation and has the potential to move fast onto a high-growth career trajectory. Our future colleagues must have excellent communications skills as well as being able to visualize and present complex Data Science solutions for the main (C-level) stakeholders of the projects. Leadership experience and charisma are huge advantages.

Key responsibilities will include:

• Designing and Delivering Solutions for a defined Data Science Related Problem
• Present the results / Prepare Presentations for the Project Stakeholders
• Create reusable documentations, presentations and code libraries during the projects
• Participating in internal education and research tasks
• Leading smaller data science tasks with the help of internal leadership and PMO

To succeed in this role, you should fulfill the following requirements:

• More than 8 years of overall experience in data science field.
• Experience in the life sciences industry is preferred
• Mathematics, Statistics, Economics, Computer Science, Engineering or related degree (MSc or PhD is preferred)
• Understanding complex Data Science Solutions
• Solid knowledge of probability theory, statistics, data science algorithms and their application in Customer Retention, Campaign Management etc. areas
• Good Communication (both verbal and written) and Data Visualization Skills
• Coding abilities at least one of the following languages: Python (preferred), R, SAS, C, JAVA (or similar)
• Solid experience in LLM / NLP

Why You Will Love It Here: 

• Work on real-world AI and advanced analytics solutions with measurable business impact.
• Collaborate with a global team of engineers and data scientists.
• Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
• A collaborative culture that values real outcomes
• High ownership, zero micromanagement
• Rapid learning opportunities and diverse challenges
• Flexible work hours, remote-friendly setup
• Flat organisational hierarchy with high visibility and accessibility to our leaders

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

Responsibilities:

• Build complex multi-agent AI agents that are highly scalable
• Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
• Engineer and refine prompts to enhance AI performance and output quality
• Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
• Ensure AI applications align with ethical standards, data privacy, and real-world scalability
• Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face

Requirements:

• Work with current state of the art LLMs and embedding models
• Experience building agentic AI systems
• Experience with debugging traces of LLM calls to identify errors/optimizations
• Experience with building Retrieval-Augmented Generation (RAG) systems
• Engineer and refine prompts to enhance AI performance and output quality
• Knowledge of extracting structured outputs from LLMs
• Experience using LLM APIs, embedding models, and RAG-based AI architectures
• Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
• Knowledge of LangChain, Pydantic, and scalable AI workflows
• Proficiency in prompt engineering and optimization techniques
• Some UI/UX experience is a plus

Qualifications:

• Minimum 5 years of experience in AI/ML development and data engineering
• Proficiency in programming languages Python
• Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
• Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
• Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
• Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)

Preferred Qualifications:

• Experience in NLP, Generative AI, or deep learning models
• Proven track record of deploying AI solutions at scale
• Research background in generative AI models
• Ability to integrate code into real world application
• Understanding AI ethics, bias mitigation, and responsible AI principles
• Prior experience in the financial or banking sector is a plus

#LI-JJ1 #LI-Onsite

Salary Range: $160,000.00 - $200,000.00

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

Responsibilities:

• Architect & Maintain: Lead the design, architecture, and enhancement of our LLM-based platform. You will be responsible for high-level technical decisions regarding the python or Node.js and React ecosystem.
• Technical Strategy & Collaboration: Work closely with product managers and stakeholders to translate business vision into scalable technical requirements. Lead cross-functional alignment between engineering teams.
• System Performance: Architect applications for extreme speed and reliability. Own the strategies for scaling to handle high traffic and complex real-time data processing.
• Security Leadership: Design and oversee robust authentication and authorization frameworks (Identity Server, OAuth2, OpenID Connect). Ensure the platform meets enterprise-grade security standards for data protection.
• Engineering Excellence: Set the standard for clean, maintainable, and testable code. Lead rigorous code reviews and establish "best practice" guidelines for the entire engineering team.
• Mentorship & Team Growth: Actively mentor junior and mid-level developers. Drive a culture of technical growth, peer learning, and collaborative problem-solving.
• AI Innovation: Stay at the bleeding edge of AI/LLM trends. Beyond application, you will evaluate and integrate emerging tools to enhance product intelligence.
• Operational Reliability: Lead the troubleshooting of complex, systemic issues across the stack. Implement proactive monitoring to ensure high availability.

Qualifications:

• Experience: 4+ years of professional software development experience, with a proven track record of leading complex full-stack projects.
• Front-End Leadership: Solid knowledge of React, modern JavaScript (ES6+), and state management patterns at scale.
• Backend & Architecture: Python or Node.js, Express.js, and designing scalable Microservices architectures.
• Database Mastery: Advanced experience with SQL and NoSQL databases, including performance tuning and schema design for high-load environments.
• AWS Infrastructure: Hands-on experience architecting on AWS (DynamoDB, S3, RDS, Lambda, and API Gateway). Knowledge of Infrastructure as Code (Terraform/CDK) is a plus.
• Process Excellence: Deep understanding of TDD, CI/CD pipelines, and Agile/Scrum leadership.
• Advanced Problem Solving: Ability to debug problems across distributed systems and optimize bottlenecks in real-time data flows.
• Soft Skills: Great communicator with the ability to influence technical direction and manage stakeholder expectations.
• LLM/AI experience: Professional experience or deep technical projects involving Large Language Models, Prompt Engineering, or RAG (Retrieval-Augmented Generation) workflows.

#LI-JJ1 #LI-Onsite

Salary Range: $160,000.00 - $200,000.00

Full Stack Python developer

Qualifications

●     Bachelor's Degree (preferably Computer Science or Engineering) or equivalent combination of experience, education and military

●     5+ years of experience writing production code

●     Proven experience coding within web-based frameworks like Django, Rails or Laravel

●     Experience with Python is required

●     Solid understanding of React

●     Experience collaborating with Product teams, with the ability to guide them through essential steps

●     Development of durable, scalable applications using cutting-edge tools and technologies

●     Ability to write clean, high-quality production code that enhances our platform

●     Ability to develop and maintain unit and integration tests 

FEQ427R309

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Role: Principal Data Scientist - Commercial Analytics

Title: Senior Lead, Principal Data Scientist / Associate Director - Data Science

Location: NY / NJ (USA)

Summary:  The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams & own outcomes. You will nurture key client relationships to ensure client account success

Desired Experience : 

• 8–12 years of overall experience.
• 3+ years in consulting or client-facing analytics roles.
• 3+ years of experience in CPG or adjacent commercial analytics environments.
• Proven experience engaging with senior stakeholders and leading client conversations.
• Strong track record in data science, statistics, and machine learning

Role & Responsibilities :

• Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions
• Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC).
• Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders
• Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities.
• Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI
• Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.
• Perform a role that involves a combination of hands-on contribution and customer engagement
• Contribute to organization building through training, mentoring, and developing repeatable analytic approaches

Primary Skills (Mandatory)

• Strong foundation in ML and statistical concepts.
• Proficiency in SQL, Python, and PySpark.
• Experience with Snowflake, BigQuery, Azure, AWS, or Databricks.
• Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics.
• Ability to convert rigorous analysis into strategic recommendations.
• Strong project management, communication, and team leadership skills
• Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space

 Secondary Skills (Good to have):

• Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics.
• Data engineering / MLOps experience.
• Dashboarding experience with Power BI or Tableau
• Exposure to Agentic AI / LLMs or any other Gen AI capabilities

FEQ227R259

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 8+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

FEQ227R228

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 3+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

We are looking for a Cybersecurity Engineer to join our Corporate IT Team in NYC!

ROLE AND RESPONSIBILITIES:

The Cybersecurity Engineer is a hands-on technical role responsible for implementing, maintaining, and optimizing security controls across our hybrid infrastructure environment serves as a subject matter expert in designing, implementing, and administering our comprehensive security technology stack. This role combines deep technical expertise in cybersecurity tools with hands-on system administration skills to support our self-hosted, on-premises security infrastructure. The ideal candidate combines infrastructure knowledge with a strong understanding of security operations, compliance requirements, technical implementation and testing and assessing risk.  They will be capable of supporting our security toolset including CyberArk, Splunk, OKTA, Tenable, SOAR platforms, and other security analytics solutions.

Responsibilities:

Vulnerability & Threat Management

• Conduct vulnerability assessments across containerized and traditional infrastructure
• Perform ethical hacking and penetration testing to identify security weaknesses on our applications periodically and at times of new releases.
  • Candidates should have a CEH and be familiar with Nmap, Wireshark, Metasploit, Hydra and Burp to name a few.
• Lead remediation efforts and track vulnerability lifecycle management
• Analyze security alerts and incidents, performing root cause analysis
• Contribute to threat hunting activities and security monitoring

Security Platform Architecture support and administration

• Administer and optimize enterprise security tools including SIEM, EDR, vulnerability scanners, and container security platforms
• Manage security aspects of VMware infrastructure, storage systems, and network segmentation
• Configure and maintain authentication systems (SAML, RADIUS) and identity management platforms such as OKTA.

Security Tools Administration & Management

CyberArk Privileged Access Management

• Administer CyberArk PAS (Privileged Access Security) including Vault, CPM, PSM, and PVWA components
• Configure privileged account onboarding, password management policies, and access workflows
• Implement CyberArk integrations with Active Directory, applications, and infrastructure systems
• Manage CyberArk clustering, disaster recovery, and high availability configurations
• Troubleshoot CyberArk performance issues and optimize system configurations

Splunk Enterprise & Security Operations

• Administer Splunk Enterprise infrastructure including indexers, search heads, and forwarders
• Configure and maintain Splunk Enterprise Security (ES) for security monitoring and incident detection
• Develop custom Splunk searches, dashboards, and alerts for security use cases
• Manage Splunk data models, knowledge objects, and correlation rules
• Optimize Splunk performance, storage management, and cluster operations

Vulnerability Management & Security Testing

• Administer Tenable Security Center and Nessus scanning infrastructure
• Configure vulnerability scanning policies, schedules, and remediation workflows
• Integrate vulnerability data with other security tools and ticketing systems
• Develop custom vulnerability reporting and metrics dashboards
• Coordinate vulnerability assessment activities and penetration testing support

Security Orchestration & Response (SOAR)

• Implement and maintain SOAR platforms for security automation
• Develop automated playbooks for incident response, threat hunting, and remediation activities
• Create custom integrations between the SOAR platform and existing security tools
• Design automated workflows for security alert triage and response coordination
• Maintain SOAR platform performance and troubleshoot automation issues

System Administration & Infrastructure

• Test disaster recovery, and business continuity procedures for security systems

Security Operations Support

• Provide Level 2/3 technical support for security incidents and tool-related issues
• Participate in incident response activities and forensic investigations
• Develop and maintain security procedures and troubleshooting guides
• Support 24/7 security operations center (SOC) activities and on-call rotation
• Collaborate with security analysts to optimize detection rules and reduce false positives

Compliance & Governance

• Support compliance initiatives including SOC 2, PCI DSS, NIST SP 800-53 and regulatory audits
• Maintain security tool documentation, configurations, and change management procedures
• Implement logging and audit trail requirements for compliance frameworks
• Develop security metrics and KPI reporting for management and auditors
• Ensure security tools meet data retention and privacy requirements

Cross-functional Collaboration

• • Partner with IT infrastructure teams on security tool deployment and maintenance
  • Collaborate with application development teams on security tool integrations
  • Work with network teams to implement security monitoring and traffic analysis
  • Support risk management activities with technical security assessments
  • Provide security expertise for project planning and technology implementations

Desired Qualifications:

• Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or equivalent experience
• Relevant certifications preferred: CCSP, CISSP, GCIH, GCFA, Security+, CySA+, GSEC, or equivalent
• Vendor-specific certifications: CyberArk Defender/Sentry, Splunk Certified Admin/Architect, Tenable Certified Security Practitioner

Technical Skills - Core Platform:

Security Tools Proficiency (3+ years each)

• CyberArk: Deep experience with PAS components, policy configuration, and enterprise deployment
• Splunk: Advanced administration of Splunk Enterprise and Enterprise Security, including clustering and performance optimization
• Tenable: Comprehensive vulnerability management experience with Security Center, Nessus, and enterprise scanning
• SOAR Platforms: Hands-on experience with security orchestration tools (Phantom, Demisto, IBM Resilient, or similar)

System Administration (5+ years combined)

• Advanced Linux administration (RHEL, CentOS, Ubuntu) including shell scripting and automation
• Windows Server administration including PowerShell scripting and Active Directory integration
• Network security concepts and implementation (firewalls, IDS/IPS, network segmentation)

Security Specializations

• Enterprise PKI and certificate management
• Log aggregation, analysis, and correlation techniques
• Incident response procedures and forensic analysis
• Threat intelligence integration and threat hunting methodologies
• Security automation and orchestration best practices

Professional Experience

• 4+ years of cybersecurity experience with focus on enterprise security tools
• 4+ years of hands-on system administration in enterprise environments
• Experience with self-hosted, on-premises security infrastructure
• Proven track record of security tool implementations and migrations
• Experience participating in and supporting compliance audits and regulatory requirements

Additional Skills

• Strong scripting abilities (Python, Bash, PowerShell) for automation and integration
• Experience with API integration and custom security tool development
• Knowledge of cloud security platforms (AWS Security Hub, Azure Security Center) preferred
• Understanding of DevSecOps practices and CI/CD pipeline security
• Excellent troubleshooting and analytical problem-solving skills
• Strong documentation and technical writing capabilities

Key Competencies

• Technical Leadership: Ability to serve as subject matter expert across various Security tool sets.
• Problem-Solving: Advanced analytical skills for complex security tool issues and integrations
• Communication: Ability to explain technical concepts to both technical and non-technical stakeholders
• Project Management: Experience leading security tool implementations and upgrades
• Continuous Learning: Commitment to staying current with emerging security technologies and threats

Preferred Qualifications

• Degree in Cybersecurity or related field
• Experience in regulated industries (government)
• Advanced certifications: CISSP, SABSA, TOGAF, or specialized vendor certifications
• Experience with additional security tools: QRadar, Rapid7, Carbon Black, CrowdStrike
• Background in security architecture and enterprise security frameworks

*The salary reflected is a good faith estimate of base pay for the primary location of the position. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay for this position is up to $155,000 annually. Pay will vary by work location and may also depend on job -related knowledge, skills, experience and abilities of the successful candidate. Your recruiter can share more about the specific salary range for the job location during the hiring process.

Keywords: #NYC #NewYorkCity #Manhatten, #Cybersecurity, Cybersecurity, CISSP, #CISSP, SecurityTools ,#SecurityTools, SIEM, #SIEM, #InfrastructureEnvirnonments, #CyberArk, CyberArk, #Splunk, Splunk, OKTA, #OKTA, Tenable, #Tenable, #SOARPlatforms, SOARPlatforms, #Telecom, Telecom, #Troubleshoot, #Engineering

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

About Our Team

Cross River’s AI Transformation team is a newly formed group of problem solvers passionate about bridging the gap between cutting-edge AI capabilities and real-world business needs. Based in-office at our Fort Lee, New Jersey headquarters, we work face-to-face with stakeholders across the organization to identify opportunities, adopt and adapt AI tools, and build sustainable solutions. Our mission is to bring AI-powered solutions to life, ensure they are maintainable, auditable, and resilient, and to continuously leverage advances in AI technologies for the benefit of the business.

What We're Looking For

We are looking for a Software Engineer II to focus on solutions for our  AI Transformation team. You will work in-office at least three days per week at our Fort Lee, New Jersey headquarters. With guidance from your Engineering Manager and a Senior Software Engineer, you will collaborate closely with an AI strategy team and collaborate face-to-face with business stakeholders to deeply understand their problems, cut through surface-level descriptions to identify root challenges, and write the code that solves real problems. You will work closely with other software and QA engineers in and outside of your team. We are looking for someone who has worked within ambiguity, and seeks out and applies strong engineering disciplines to deliver sustainable, AI-centered or augmented outcomes.

Responsibilities:

• Design, develop, and deliver scalable software modules and components
• Build backend systems using a mix of technologies. Languages may include C# (.NET 10), Python, and JavaScript/TypeScript. Databases may include PostgreSQL and SQL Server. Infrastructure includes AWS, Docker, and Kubernetes
• Implement, test, and iterate on software solutions that address both short-term and long-term considerations with a maintainable, sustainable mindset

Qualifications:

• 4+ years of experience developing enterprise systems in modern, current object-oriented languages, with at least 2+ years of C#
• 2+ years of experience with SQL, preferably PostgreSQL or SQL Server
• Experience working with AI assistive and agentic code generation (e.g. Copilot, Claude Code, Cursor)
• Database persistence frameworks (e.g. nHibernate, Entity Framework)
• Strong communication skills
• Experience or understanding of Domain Driven Design
• Cloud Architecture - preferably AWS
• Docker / Containers
• Financial industry / accounting experience or understanding is helpful, but not required
• Experience designing and developing distributed systems and event driven architecture is preferred. Ideally with understanding or exposure to:  
• MassTransit or NServiceBus
• RabbitMQ
• Idempotency

#LI-KR1 #LI-Hybrid

Salary Range: $130,000.00 - $170,000.00

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

About Our Team

Cross River’s AI Transformation team is a newly formed group of problem solvers passionate about bridging the gap between cutting-edge AI capabilities and real-world business needs. Based in-office at our Fort Lee, New Jersey headquarters, we work face-to-face with stakeholders across the organization to identify opportunities, adopt and adapt AI tools, and build sustainable solutions. Our mission is to bring AI-powered solutions to life, ensure they are maintainable, auditable, and resilient, and to continuously leverage advances in AI technologies for the benefit of the business.

What We’re Looking For

We are looking for an Engineering Manager to lead and grow our AI Transformation team (official title: "AVP, Engineering").. This is a hands-on leadership role—approximately 60% engineering and 40% people and project management—where you will work in-office at least three days per week at our Fort Lee, New Jersey headquarters. You will collaborate closely with an AI strategy team and collaborate face-to-face with business stakeholders to deeply understand their problems, cut through surface-level descriptions to identify root challenges, and determine the most efficient path to solutions. You will guide your team and partners through a solution journey, ensuring the business comes along every step of the way. We are looking for someone who thrives in ambiguity, identifies high-impact opportunities—from quick wins to complex, less obvious challenges—and applies strong engineering discipline to deliver sustainable, AI-centered or augmented outcomes.

People & Project Management Responsibilities (~40%):

• Lead, mentor, and support a small team of engineers and QA professionals with empathy, trust, and a focus on individual growth
• Foster a culture that promotes sharing ideas, taking calculated risks, and learning from setbacks
• Plan, triage, and prioritize work across multiple initiatives with lifecycles ranging from two weeks to three months
• Guide business partners through the solution journey—helping them understand tradeoffs, come along with the process, and stay focused on the problem rather than prescribing solutions

Engineering Responsibilities (~60%):

• Design, develop, and deliver scalable, flexible, and reusable components and solutions leveraging AWS AI tools and services and internally-designed components, evolving into a flexible, resilient, and reusable platform
• Utilize engineering best practices to implement AI-centered and augmented solutions with a sustainable, auditable, and maintainable mindset
• Collaborate with the AI strategy enablement team to adopt, adapt, and optimize the latest AI tools for real-world business problems
• Document solution architectures, design decisions, and technical approaches collaboratively with the team and stakeholders

Qualifications:

• 8+ years of experience in software engineering (a mix of front-end, back-end, API, security, and other best practices), with progressive leadership or management responsibilities
• 6+ years of experience with C#, .NET Core, and the Microsoft development ecosystem deployed via AWS
• 6+ years of experience in real-time data management (SQL, NoSQL, caching)
• 4+ years of experience in DevOps disciplines (GIT or Azure Devops, Terraform, Python)
• 3+ years of experience leading, empathetically managing engineering teams and interfacing with product and business organizations
• 2+ years of experience or strong interest in AI/ML tooling, integrations, and the practical application of AI to business problems
• Experience managing initiatives with short-to-medium lifecycles (weeks to months), in an ambiguous, fast-evolving, collaborative, and iterative environment

Ideal Candidate:

• Experience in the financial industry (FinTech or traditional banking)
• Loves ambiguity, energized by undefined problems and the opportunity to shape solutions from the ground up and identify next steps and actions
• Identifies potential to show impact quickly while also recognizing and tackling harder, less obvious challenges
• Focuses on understanding the “why” before jumping to the “how”

#LI-KR1 #LI-Hybrid

Salary Range: $180,000.00 - $210,000.00

Staff Full Stack Engineer

Location: Richmond, VA, McLean, VA, or Jersey City Area, NJ

Work Environment: Hybrid

Role Summary:

We are seeking a highly experienced Staff Full Stack Engineer to lead the architecture, development, and scaling of our next-generation, cloud-based platforms. This role is ideal for a senior technical leader who thrives in both hands-on engineering and strategic influence. You’ll own key architectural decisions, guide engineering best practices, mentor teams, and drive major multi-team initiatives that shape the future of our technology organization.

What You’ll Do:

• 60% coding, 20% design, 20% leadership and influence
• Lead architectural strategy across teams and set long-term technical direction
• Unblock engineering teams and design scalable, high-performance solutions
• Drive major cross-team initiatives aligned with product and business priorities
• Make high-impact architectural and technical decisions
• Promote a culture of learning, ownership, and technical excellence
• Contribute to planning, budgeting, and understanding financial drivers

What You Need:

• 8+ years developing with JavaScript/TypeScript and one OO language (Java, Go, C/C++, C#, Python, etc.)
• 6+ years architecting and delivering Micro Frontends or similarly complex cloud-based systems (AWS, GCP, Azure)
• Experience with WebGL, D3.js, or SVG visualizations
• Experience with modern UI libraries (e.g., Angular Material)
• Hands-on experience with Terraform and AWS or other IaC/cloud environments
• Deep understanding of Data Structures, Algorithms, frontend best practices, UI/UX, design systems, accessibility, and responsive design
• Strong background in Agile/Scrum and optimizing global, enterprise-scale software
• Excellent communication and collaboration skills
• Familiarity with SOAP, REST, XML, JSON, HTML, GraphQL, RPC

What's Nice to Have:

• Graduate degree in Computer Science or equivalent
• Strong system design experience (scaling, reliability, design patterns)
• Professional speaking or client-facing experience
• Background in supply chain, cyber supply chain, risk, or analytics
• Experience building modern web platforms from the ground up

Additional Knowledge & Skills

• Expertise in Micro Frontends and large-scale frontend architecture
• Strong skills in cross-browser compatibility, mobile responsiveness, accessibility, performance optimization, and advanced debugging
• Ability to define and champion a “Golden Path” for frontend development
• Strong balance of code quality and delivery speed
• Highly collaborative with strong problem-solving and communication abilities
• Skilled in guiding architectural decisions and influencing technical direction

Why You’ll Love Working at Exiger:

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off
• Industry leading health, vision, and dental benefits
• Competitive compensation package
• 16 weeks of fully paid parental leave
• Flexible, hybrid approach to working from home and in the office where applicable
• Focus on wellness and employee health through stipends and dedicated wellness programming
• Purposeful career development programs with reimbursement provided for educational certifications

#LI-Hybrid

This is a full-time hybrid opportunity.

Senior Software Engineer

Location: Jersey City, NJ

Work Environment: Hybrid

Role Summary: 

As a Senior Software Engineer at Exiger, you will be responsible for designing and developing software projects from a technical implementation perspective that satisfy the project’s requirements, and result in implementing features and improvements in our flagship software platform. As a Senior Software Engineer, you will be responsible for creating, maintaining, and improving our APIs and backend services. Your role will involve owning features from conception to deployment, collaborating with cross-functional teams, and automating manual processes. 

If you are ambitious, eager to learn, and interested in developing great software solutions that help our customers, this position at Exiger has your name on it.

What You'll Do:

• Create, maintain, and improve existing APIs and backend services
• Own features from conception to deployment and maintain technical documentation
• Collaborate with cross-functional teammates throughout the development
• Cycle through proactive communication, documentation, and reporting
• Manage CI/CD pipeline
• Automate manual processes

What You Need:

• Experience with Microservices architecture and domain driven design. 
• Experience implementing effective feature testing
• Ability to come up to speed on our core technologies quickly
• Ability to balance the quality of code and speed of delivery
• Experience with cross-functional feature team development
• Ability to work well in a collaborative environment and listen and learn from stakeholders
• Solution-oriented communicator with strong problem-solving skills
• Collaborate with team on architecture decisions 

Professional Experience Required

• An undergraduate or graduate degree in computer science or equivalent experience.
• 6+ Years experience programming with Java or another Object Oriented Language (C, C++, C#, Python, ect.)
• 4+ Years experience designing, developing and delivering Micro Services
• 2+ Years experience leading and mentoring others
• Strong understanding of Data Structures and Algorithms Strong understanding of software development best practices Strong understanding of system design (design patterns, reliability and scaling) of new and existing systems
• Experience working in an agile environment.
• Understanding of different messaging protocols and format standards and languages (SOAP, REST, XML, JSON, HTML, GraphQL, RPC)

Why You’ll Love Working at Exiger:

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off
• Industry leading health, vision, and dental benefits
• Competitive compensation package
• 16 weeks of fully paid parental leave
• Flexible, hybrid approach to working from home and in the office where applicable
• Focus on wellness and employee health through stipends and dedicated wellness programming
• Purposeful career development programs with reimbursement provided for educational certifications

#LI-Hybrid

This is a full-time hybrid opportunity.

Snowflake Architect

Role Summary:

We are seeking a Snowflake Architect to design, evolve, and maintain the data platforms that power our analytics and risk intelligence products. This role blends traditional data administration with modern data architecture — focusing not only on managing data systems, but also on shaping how data is modeled, governed, and integrated across our platforms.

What You’ll Do:

• Architect the evolution of our data ecosystem, helping to design and implement a medallion architecture (bronze/silver/gold layers) to support scalable, traceable data movement and quality monitoring.
• Plan and coordinate data cadences, ensuring that data ingestion and transformation processes are efficiently synchronized across layers.
• Lead the transition toward a hybrid data architecture based on AWS S3, Apache Iceberg, Polaris, and Trino (or similar query engine) — while maintaining and optimizing our existing Snowflake environment during the transition.
• Design and govern data models that support both analytical and operational workloads, balancing cost, performance, and scalability.
• Collaborate with developers and analysts to define end-to-end data integration processes using ETL/ELT frameworks for structured, semi-structured, and unstructured data.
• Administer and optimize Snowflake environments — including warehouse sizing, data clustering, cost optimization, and user access management — while planning for gradual migration of workloads to open table formats and object storage.
• Develop and maintain data infrastructure as code using Terraform and CI/CD pipelines to automate deployment, configuration and management of data resources.
• Evaluate and implement data cataloging, governance, and lineage tools, with an emphasis on Polaris for metadata and discovery.
• Perform ongoing analysis of data storage and query performance to improve efficiency, cost, and maintainability.

What You Need:

• 5+ years of experience in data architecture, warehousing, or administration.
• 3+ years of hands-on experience with Snowflake, including performance tuning, cost optimization, and security.
• Strong experience with query engines such as Trino, Athena, or Presto, and metadata catalogs such as Polaris or AWS Glue Catalog.
• Experience designing and maintaining data lakes and open table formats (e.g., Iceberg, Delta, or Hudi).
• Expertise in AWS data services — particularly S3, Glue, IAM, Lambda, SQS, SNS, and Secrets Manager.
• Strong understanding of data modeling, schema design, and ELT/ETL best practices.
• Hands-on experience with Python or Java for automation and data pipeline development.
• Experience with streaming data ingestion (Kafka, Kinesis, or equivalent).
• Strong communication and collaboration skills to work across data engineering, DevOps, and analytics teams.
• Experience with Terraform, CI/CD pipelines, and modern data orchestration tools (e.g., Airbyte, Matillion, or Airflow).

What's Nice to Have:

• AWS or Snowflake certifications (SnowPro, AWS Data Analytics, or Solutions Architect).
• Experience implementing data governance and lineage solutions.
• Understanding of data mesh and federated data architecture principles.
• Experience in federal or regulated environments where compliance, traceability, and data security are paramount.

Why You’ll Love Working at Exiger:

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off 
• Industry leading health, vision, and dental benefits
• Competitive compensation package 
• 16 weeks of fully paid parental leave 
• Flexible, hybrid approach to working from home and in the office where applicable
• Focus on wellness and employee health through stipends and dedicated wellness programming 
• Purposeful career development programs with reimbursement provided for educational certifications

#LI-Hybrid

This is a full-time hybrid opportunity, requiring 2 days a week in office.

Cloud Data Architect

Role Summary:

We are seeking a Cloud Data Architect / Administrator to design, evolve, and maintain the data platforms that power our analytics and risk intelligence products. This role blends traditional data administration with modern data architecture — focusing not only on managing data systems, but also on shaping how data is modeled, governed, and integrated across our platforms.

What You’ll Do

• Architect the evolution of our data ecosystem, helping to design and implement a medallion architecture (bronze/silver/gold layers) to support scalable, traceable data movement and quality monitoring.
• Plan and coordinate data cadences, ensuring that data ingestion and transformation processes are efficiently synchronized across layers.
• Lead the transition toward a hybrid data architecture based on AWS S3, Apache Iceberg, Polaris, and Trino (or similar query engine) — while maintaining and optimizing our existing Snowflake environment during the transition.
• Design and govern data models that support both analytical and operational workloads, balancing cost, performance, and scalability.
• Collaborate with developers and analysts to define end-to-end data integration processes using ETL/ELT frameworks for structured, semi-structured, and unstructured data.
• Administer and optimize Snowflake environments — including warehouse sizing, data clustering, cost optimization, and user access management — while planning for gradual migration of workloads to open table formats and object storage.
• Develop and maintain data infrastructure as code using Terraform and CI/CD pipelines to automate deployment, configuration and management of data resources.
• Evaluate and implement data cataloging, governance, and lineage tools, with an emphasis on Polaris for metadata and discovery.
• Perform ongoing analysis of data storage and query performance to improve efficiency, cost, and maintainability.

What You Need

• 5+ years of experience in data architecture, warehousing, or administration.
• 3+ years of hands-on experience with Snowflake, including performance tuning, cost optimization, and security.
• Strong experience with query engines such as Trino, Athena, or Presto, and metadata catalogs such as Polaris or AWS Glue Catalog.
• Experience designing and maintaining data lakes and open table formats (e.g., Iceberg, Delta, or Hudi).
• Expertise in AWS data services — particularly S3, Glue, IAM, Lambda, SQS, SNS, and Secrets Manager.
• Strong understanding of data modeling, schema design, and ELT/ETL best practices.
• Hands-on experience with Python or Java for automation and data pipeline development.
• Experience with streaming data ingestion (Kafka, Kinesis, or equivalent).
• Strong communication and collaboration skills to work across data engineering, DevOps, and analytics teams.
• Experience with Terraform, CI/CD pipelines, and modern data orchestration tools (e.g., Airbyte, Matillion, or Airflow).

Nice to Have

• AWS or Snowflake certifications (SnowPro, AWS Data Analytics, or Solutions Architect).
• Experience implementing data governance and lineage solutions.
• Understanding of data mesh and federated data architecture principles.
• Experience in federal or regulated environments where compliance, traceability, and data security are paramount.

Why You’ll Love Working at Exiger:

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off 
• Industry leading health, vision, and dental benefits
• Competitive compensation package 
• 16 weeks of fully paid parental leave 
• Flexible, hybrid approach to working from home and in the office where applicable
• Focus on wellness and employee health through stipends and dedicated wellness programming 
• Purposeful career development programs with reimbursement provided for educational certifications

#LI-Hybrid

This is a full-time hybrid opportunity, requiring 2 days a week in office.

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

What We're Looking For

Cross River Bank is seeking a VP of Identity & Access Management (IAM) to build and lead a modern, risk-aligned, and automation-forward IAM program. Reporting to the VP of IT Security Engineering, this strategic and technical leader will drive the design, governance, and execution of IAM capabilities across our cloud, on-premises, and SaaS environments.

This role will be instrumental in maturing our identity lifecycle management, enforcing least privilege, and enhancing secure access governance—while ensuring compliance with FFIEC, SOC 2, PCI DSS, and other regulatory standards.

Responsibilities: 

Strategy & Leadership

• Define and own the bank’s IAM vision, roadmap, and architecture, aligned with security, compliance, and business goals.
• Build, lead, and mentor a small but high-performing IAM team, fostering a culture of collaboration, innovation, and accountability.
• Champion secure and scalable IAM practices across business units, product teams, and infrastructure domains.
• Partner with Engineering and Compliance to enhance identity governance maturity.

Lifecycle Management & Automation

• Oversee the design and automation of Joiner-Mover-Leaver processes.
• Drive implementation of access request workflows and access reviews through tools like ServiceNow, with tight policy enforcement and auditability.
• Reduce identity sprawl by enforcing role-based and attribute-based access controls (RBAC/ABAC).
• Support federated SSO and MFA rollout across all SaaS applications to eliminate shadow IT.

Privileged Access & Governance

• Lead the rationalization and control of privileged access across AWS, Azure (PIM), and legacy AD environments.
• Partner with Security Engineering and Audit to execute regular access reviews and design SoD frameworks.
• Define access certification cycles with actionable outputs for business owners.

Cloud & SaaS Identity

• Guide cloud identity strategies for Azure, AWS, and SaaS ecosystems to ensure secure and scalable access models.
• Collaborate with Engineering to securely onboard new SaaS vendors under centralized identity management and SSO.

Audit & Compliance

• Maintain IAM controls to meet FFIEC, SOC 2, and PCI DSS standards, and respond effectively to FDIC audits.
• Establish clear KPIs and metrics for IAM hygiene, access review coverage, and lifecycle automation.

Qualifications: 

• 10+ years in IAM, Information Security, or IT Risk roles, with 3+ years in a people management or technical leadership capacity.
• Hands-on experience with IAM platforms (e.g., SailPoint, Saviynt, Azure AD, CyberArk, Okta), ideally in a financial services or regulated environment.
• Deep knowledge of identity lifecycle automation, JML workflows, RBAC, ABAC, SSO, MFA, and PAM principles.
• Proven success aligning IAM strategy with risk, audit, and compliance functions.
• Familiarity with scripting or automation (PowerShell, Python) and modern identity protocols (SAML, OAuth2, OIDC, SCIM).
• Strong communication, influencing, and documentation skills; able to evangelize IAM to both technical and business audiences.
• Experience implementing or integrating with HRIS systems like Workday and ITSM systems like ServiceNow is a plus.
• Certifications preferred: CISSP, CISM, or vendor-specific IAM certs.

#LI-KR1 #LI-Hybrid #LI-Onsite 

Salary Range: $160,000.00 - $200,000.00 

The Opportunity

Are you a recent graduate with a passion for technology, finance, and problem-solving?

Our Graduate Programme is your chance to launch a high-impact career at the intersection of traditional finance and the crypto market. This isn't just a desk job—it’s an opportunity to dive deep into a complex, dynamic industry and make a real difference from day one.

Scope of the role

This is a rare opportunity for a graduate to join B2C2 and to assume trading responsibility within their first year.

You will learn from experienced traditional finance and crypto professionals with combined experience of 50+ years in the industry. We are a uniquely skilled team, covering both sell-side OTC client flow with high-frequency market making, with a range of product that keeps expanding. With the decline of sales & trading at traditional investment banks, this graduate position offers unbounded possibilities at one of the leading firms in fintech, the new face of finance.

Roles and responsibilities 

• Manage the algorithms that make markets on crypto exchanges and to clients
• Monitor opportunities and dislocations in markets as they present themselves, taking decisive action to capture value
• Manage the overall market risk of the portfolio
• Work closely with Tech and Operations to ensure smooth 24/7 trading

What we're looking for:

• University degree in a numerical degree
• Clear communication skills
• Ability to work in a fast-paced fluid environment and handle pressure in such an environment
• An entrepreneurial mind set and a natural intuition for risk
• Keen interest in financial and crypto markets
• Decent coding skills in Python or Java 

Requirements:

• Demonstration of honesty, integrity and good reputation
• Excellent teamwork and relationship management skills and a demonstrated ability to work both on own initiative and as part of a team
• Ability to develop new skills and understand market developments as required
• Aware of the importance of considering risk management and compliance issues.
• Continually demonstrates application of group policies and relevant regulatory framework

To help your application stand out, you might also consider providing:

• Professional or Academic References: Contact details for referees from previous roles, internships, or academic projects
• A Portfolio of Your Work: Links to projects, a personal website, or a GitHub profile that showcases your skills and accomplishments
• Relevant Certifications: Copies of any professional or academic certificates that highlight your specialized knowledge

Why intern at B2C2?

• 10-week program starting in July 
• In-house, hands-on training from experienced professionals who have worked at top financial institutions in crypto and traditional finance
• Mentorship and feedback throughout​ 
• Competitive salary, regular fun events and activities
• An opportunity to receive a permanent offer