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, premium plans for you and your family, including medical, 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, a 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

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. 

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 

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. 

‍

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.

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About the Role

The Solutions Architect will be part of the US Solution Delivery team and is responsible for designing, deploying, and operationalizing enterprise-scale Red Hat platforms including OpenShift, Ansible Automation Platform, and RHEL across hybrid and multi-cloud environments. This role is delivery-focused and platform-first — combining deep technical architecture with hands-on engineering oversight. The architect ensures platform security, scalability, and Day-2 readiness, while preparing the environment for AI-native evolution and Secure AI Factory integration.

Key Responsibilities

Architecture & Platform Ownership

• Architect end-to-end OpenShift, AAP, and RHEL deployments across hybrid and multi-cloud environments
• Define platform landing zones, cluster topology, multi-tenancy boundaries, and trust zones
• Produce HLD/LLD emphasizing resiliency, GitOps alignment, and Day-2 operability
• Design secure workload onboarding models (CI/CD patterns, image/registry governance, namespace guardrails)
• Architect storage and data layer integration (ODF/CSI drivers) based on workload profiles
• Govern identity and policy integration (RBAC, OIDC/LDAP, service mesh/east-west security)
• Serve as platform design authority ensuring delivery aligns with Red Hat architecture standards

Platform Engineering & Day-2 Operations

• Deploy and operationalize OpenShift clusters including install, scaling, operators, and lifecycle governance
• Implement Day-2 automation via GitOps/Ansible for upgrades, drift prevention, health remediation, and cert rotation
• Build observability and SRE operability (logging/metrics/tracing, RCA workflows, HA validation)
• Govern resource quotas, tenancy, security posture, and workload placement
• Enable disaster recovery/backup strategies and continuity planning for cluster + workloads
• Standardize IaC/GitOps pipelines to ensure consistent platform configuration across environments

Customer Consulting & Technical Leadership

• Act as a trusted advisor to enterprise platform, DevOps, and cloud engineering teams
• Partner with presales / solution engineering to validate sizing, feasibility, and deployment readiness
• Mentor platform engineers to uplift architecture discipline and Day-2 maturity
• Develop reusable platform baselines, reference patterns, and architectural collateral

Secure AI Factory & Next-Gen Alignment

• Prepare OpenShift environments for AI-native security and Secure AI Factory adoption
• Build capability alignment with Cisco AI Fabric, Cisco AI Defense, and Cisco Hypershield
• Support convergence of OpenShift + AI security + automation fabric for secure workload design
• Mature deployments toward AI-assisted Day-2 ops and adaptive policy enforcement

Required Qualifications

• 8+ years in platform engineering, infrastructure delivery, or architecture roles
• 4+ years deploying or architecting OpenShift and/or Ansible in production
• Strong knowledge of Linux, containers, platform security, networking, TLS/PKI, HA/DR
• Hands-on with DevSecOps, GitOps, IaC, and automation frameworks
• Proven experience in customer-facing architecture or consulting leadership

Preferred Skills

• Red Hat certifications (RHCE, EX280, AAP Specialist or equivalent)
• Experience with multi-cluster/multi-tenant architecture
• Familiarity with service mesh / east-west security / workload isolation
• Understanding of AI-native security models and Secure AI Factory adoption path

Why This Role Matters

This role transitions customers from infrastructure-centric environments into modern Red Hat platform architectures that are secure, cloud-native, automation-driven, and future-ready for AI-assisted operations. It ensures platforms are not only deployed — but architected for long-term resilience, policy governance, and intelligent Day-2 operation.

Salary Range

$140,000 to $170,000 USD annually

This is a full-time opportunity with Gruve. It is an on-site role based in Edison, New Jersey.

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

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

• Design and implement a reliable and scalable AWS architecture to meet the needs of the organization.
• Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
• Support the CICD process with ArgoCD and GitOps.
• Automate the platform deployments with Terraform infrastructure-as-code.
• Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
• Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
• Optimize system performance and troubleshoot issues as they arise.
• Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets. 
• Collaborate with security teams to implement and maintain security best practices.
• Infrastructure support rotation providing guidance to other engineering teams.

What Sets You Up for Success:

• 5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
• 5+ years of experience with Kubernetes (EKS) and Helm charts.
• Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
• Experience with infrastructure-as-code methodologies with Terraform.
• Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
• Experience with Incident Management, full-stack troubleshooting, performance analysis, and root cause analysis (RCA).
• Experience with Web application systems such as Nginx, Ingress controllers, load balancing, and Content Delivery Networks. 
• Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached, and SQS)
• Good networking skills with VPC, Security Groups and Network ACLs.
• Ability to work remotely and manage your own time in a global team.
• Good written and verbal communication in English.
• Bachelor’s degree in Computer Science or equivalent experience.

Bonus Skills to Stand Out:

• Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
• Experience working in a PCI-compliant environment.
• Experience working with Kong API Gateway.

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

#LI-REMOTE #LI-IK1

The role

We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability.

You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments.

Your responsibilities will include

• Leading root cause analysis for complex hardware and firmware failures across production fleets

• Aggregating recurring problems and error patterns to identify systemic reliability issues

• Acting as the senior escalation point for hardware-related incidents impacting availability or performance

• Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions

• Partnering with internal engineering teams to validate fixes and prevent recurrence

• Performing hardware and firmware validation before fleet-wide rollout

• Driving structured incident investigations using established IT problem management methodologies

• Supporting on-site teams with technical coordination during critical hardware events

• Improving hardware observability, failure tracking, and reporting processes

• Contributing to long-term hardware reliability strategy and fleet-wide stability improvements

What we expect you to have

• Strong hands-on expertise with server hardware in data center or large-scale production environments

• Proven experience performing root cause analysis of hardware and firmware failures

• Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes

• Experience working directly with hardware vendors and engineering teams to resolve production issues

• Structured problem-solving skills using formal IT or incident management methodologies

• Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns

• Experience coordinating technical activities with on-site operations teams

• Ability to manage multiple concurrent investigations with production impact

• Clear written and verbal communication skills in cross-functional environments

It will be an added bonus if you have

• Experience in GPU-dense, AI, or high-performance computing environments

• Exposure to firmware lifecycle management and large-scale rollout validation

• Familiarity with Linux-based production systems and infrastructure tooling

• Experience improving fleet-wide hardware reliability metrics at scale

Working conditions

• Onsite work in the Vineland New Jersey Data center.

• Participation in incident escalations for production-impacting events

Key employee benefits

• Comprehensive medical, dental, and vision coverage

• 401(k) plan with company contribution

• Flexible paid time off

• Paid parental leave

• Professional development support

Compensation

$125,000 – $180,000 per year plus annual performance-based bonus.

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The Role  
The Data Center Infrastructure Engineer will lead on-site delivery and deployment of hardware in new locations. You will plan, coordinate, and supervise activities from shipment arrival through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications. 
 
Key Responsibilities: 
Planning & Coordination 
-Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders. Coordinate with logistics, supply chain, data center construction, and network teams to prepare sites for delivery and installation. Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met. 
 
On-Site Delivery & Installation 
 -Supervise receiving, unpacking, racking, cabling, and powering hardware equipment. 
 -Ensure configuration, firmware upgrades, and integration with management systems follow standards. 
 -Work closely with vendors, contractors, and local staff during the installation phase. 
 
Quality & Readiness 
 -Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly. Document installation steps, asset data, and lessons learned for future rollouts. Establish and maintain best practices for safe, efficient hardware deployment. 
 
Collaboration & Reporting 
 -Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership. Support transition of deployed hardware to operations teams for steady state management. Contribute feedback to improve hardware design and deployment playbooks. 
 
Requirements: 
 -5+ years experience in data center, hardware, or IT field delivery roles. 
 -Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling). 
 -Proven track record coordinating deployments across multiple stakeholders and vendors. 
 -Ability to read and interpret technical documentation, layouts, and wiring diagrams. 
 -Excellent organizational, communication, and problem-solving skills. 
 -Willingness to travel frequently (sometimes at short notice). 
 
Preferred Experience: 
 -Experience with GPU/HPC or high-density computer environments. 
 -Familiarity with change management, asset tracking, and quality assurance processes. 
 -Understanding of health, safety, and environmental standards in data center or industrial settings. 

Key Employee Benefits in the US:

• 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.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $90 -$140k.

Join Nebius Today!

The role

Nebius is seeking a Data Center Support Engineer to serve as a senior technical escalation point within our data center operations. This role sits above entry-level and mid-level technicians and is designed for an engineer who thrives in bare-metal environments, has strong troubleshooting instincts, and can operate as a true “jack-of-all-trades” across hardware, networking, and systems. 

Location: Vineland, NJ 

Your responsibilities will include: 

• Serve as the primary escalation point for complex data center IT and hardware issues. 

• Perform advanced troubleshooting across bare-metal hardware, break/fix, and networking issues. 

• Mentor, train, and support entry-level and junior technicians (5–10 person influence). 

• Develop, improve, and maintain SOPs, documentation, and training materials. 

• Partner with stakeholders to improve processes and operational consistency across the data center. 

We expect you to have: 

• Strong experience with data center break/fix, hardware repairs, and bare-metal troubleshooting. 

• Working knowledge of basic networking and link-level troubleshooting. 

• Comfortable operating in the command line, with basic Linux experience. 

• Solid understanding of how data centers function end-to-end. 

• Experience creating SOPs, documentation, and training programs. 

• Demonstrated leadership experience mentoring or guiding 5–10 technicians. 

• Background in data centers, IT, computer science, or facilities-adjacent roles. 

Preferred Exp: 

• Experience using data or dashboards to understand operational health or trends. 

• Exposure to basic analytics, reporting, or visualizations related to data center operations. 

• Background as a data center technician transitioning toward more analytical or systems-focused work. 
  

• 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.

The role

Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical data center environments. As a Senior Delivery Deployment Engineer, you will own the end-to-end delivery, deployment, and production readiness of next-generation GPU platforms inside our data centers. This role sits at the intersection of hardware, Linux systems, and operational execution. You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ensure GB-series infrastructure moves from installation to fully operational production environments with precision and reliability. You will collaborate closely with hardware engineering, networking, and infrastructure teams to deploy and stabilize H200 and B200-based GPU systems at scale.

Your responsibilities will include:

• Lead end-to-end deployment of GB-series racks within data center environments
• Oversee installation, bring-up, validation, and production readiness of NVIDIA H200 and B200-based servers
• Troubleshoot complex hardware, firmware, Linux OS, and networking issues
• Execute structured testing and validation procedures during deployment
• Develop and maintain basic Linux-based hardware health-check and diagnostic scripts
• Coordinate on-site hardware repairs, part replacements, and vendor escalations
• Drive root cause analysis and ensure corrective actions are implemented
• Manage and prioritize deployment timelines across multiple concurrent rollouts
• Provide technical leadership and guidance to on-site engineers and technicians
• Partner with networking and infrastructure teams to ensure seamless integration
• Document deployment processes, validation standards, and operational runbooks

What we expect you to have:

• Strong hands-on experience deploying and operating data center infrastructure
• Deep familiarity with GPU-dense systems, ideally NVIDIA H-series platforms
• Experience working with high-density rack deployments (GB-series or similar)
• Solid Linux experience, including troubleshooting and scripting
• Ability to diagnose issues across hardware, OS, firmware, and network layers
• Experience coordinating field repairs and working directly with hardware vendors
• Proven experience leading technical teams or overseeing field operations
• High ownership mindset and ability to operate in production-critical environments
• Clear communication skills and ability to collaborate across distributed teams

It will be an added bonus if you have:

• Experience deploying AI or HPC clusters at scale
• Familiarity with automated provisioning or infrastructure lifecycle systems
• Background in hardware qualification, burn-in testing, or factory validation
• Experience supporting rapid infrastructure expansion
• Exposure to ARM-based or heterogeneous compute environments

Working conditions:

• Collaboration with globally distributed engineering and operations teams

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 $125k- $180k base + quarterly performance bonuses.

Join Nebius today and help build the software that powers the next generation ofAI infrastructure.

Real Chemistry is looking for an Audio Engineer, Sound Innovation to join our growing team!  

21GRAMS, Real Chemistry’s advertising agency, has done a lot in its first 5+ years. Known for our creativity, we've just been ranked as the #2 creative health agency in the world by Cannes Lions. It takes a team to do ambitious things, and our ambition is to help people connect with healthcare – by making advertising less of an interruption and more worth people’s time because it actually gets them. As an agency with the full capabilities of Real Chemistry at our fingertips, we’ve got endless potential.

ROOM42, Real Chemistry’s in-house production company, is hiring an experienced Audio Production Lead to join our in-house production team. The ideal candidate will possess strong skills in sound editing and mixing. Should be familiar with audio post-production workflows - sound design and mixing for film and video, as well as podcast production. Also be comfortable leading remote recording sessions, directing talent and managing communication between team members. A requirement of this role is to have a strong interest and expertise in generative AI software and workflows related to the audio production industry.

This is a hybrid role, based in any of our US offices—including New York City, Boston, Chicago, Carmel, Lambertville, or San Francisco—or remotely within the US, depending on team and business needs. This role will work according to the Eastern Time zone.

What you’ll do: 

·       Collaborate with team members on creative and efficient ways to incorporate AI into audio production and post-production workflows.

·       Sound design, editing, and mixing for all sorts of projects, ranging from documentary-style films to scripted advertisements, talking heads, animated instructional videos, radio spots, podcasts, sonic branding, and anything else our Creatives can come up with.

·       Manage the casting, directing, recording, and editing of voiceover talent, both AI and real people.

·       Podcast Production: collaborate with team members to develop structure, format, and workflow (incorporating AI) for different podcast series. Manage all recording, editing, and mixing.

·       Contribute and collaborate in a high-volume, fast-paced team environment, maintaining high standards of audio quality.

·       Maintain freshness, creative excellence, and innovation to uphold and enhance the brand.

·       Stay updated on trends and advancements in audio production, post-production, and sound design (especially utilizing generative AI), using this knowledge to inform work and push creative boundaries.

·       Direct and manage the work of outside contractors and freelancers as needed.

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. 

What you should have:  

·       4+ years of professional experience in audio post-production (experience in a corporate environment, agency – specifically healthcare agency is a plus but not required).

·       Background in music production – a plus but not required.

·       Proficiency in Pro Tools required, familiarity with Adobe Suite is an advantage.

·       Comprehensive knowledge of the latest audio production tools, both traditional and those utilizing AI.

·       Expertise in voiceover recording, directing, and editing.

·       Proficiency with Microsoft Suite, Box, and Frame.io in a corporate environment and the ability to quickly learn and incorporate new software and systems.

·       Strong understanding of broadcast, digital, social, and standard delivery specifications.

·       Excellent communication skills, including the ability to articulate creative concepts and rationale for clients and the team.

·       Exceptionally high creative standards, balanced with an understanding of timeline and budget constraints.

Pay Range: $,100,000 - $115,000
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.

About the team:

The Fleet Operations Team drives uptime and operational performance across Formic’s growing fleet of deployed robotic systems. Working inside live manufacturing environments, the team diagnoses issues, restores production, and continuously improves system reliability at scale. Fleet Operations operates at the intersection of robotics, controls, and real-world factory execution, ensuring Formic’s automation delivers consistent, measurable performance across diverse industrial applications.

About the role:

As a Robotics Field Service Engineer, you are the front line of technical ownership across Formic’s deployed robotic cells. You will diagnose failures, restore systems to production, perform preventative and corrective maintenance, and represent Formic directly within customer facilities.

This is a hands-on, high-accountability role in uptime-critical environments. Success requires strong troubleshooting discipline, calm execution during production interruptions, and structured documentation. Your work directly impacts fleet performance, customer satisfaction, and long-term system reliability.

In this role you will:

• Perform preventative, corrective, and predictive maintenance on robotic manufacturing cells
• Respond to remote and on-site escalations, diagnose root causes, and restore systems quickly
• Provide hands-on technical support to customer operators and maintenance teams
• Log service activity, asset updates, and spare part requirements in CMMS systems
• Coordinate field scheduling and support with customers, vendors, and internal stakeholders
• Monitor system performance remotely using Formic dashboards and fleet tools
• Document service work, root cause analysis, and follow-up actions with clarity and precision
• Identify recurring failure patterns and escalate systemic risks for broader improvement
• Build professional, trusted relationships with plant managers and site personnel
• Operate with strict adherence to safety standards, including LOTO and industrial compliance
• Participate in RCA sessions, audits, and continuous improvement initiatives
• Continuously expand technical depth across robotics, controls, networking, and industrial systems

What makes you a great fit:

• 3+ years of hands-on field service experience supporting robotic or industrial automation systems
• Strong troubleshooting skills across electrical, mechanical, PLC, or robotic control systems
• Ability to read electrical schematics, wiring diagrams, and pneumatic drawings
• Experience using CMMS platforms to track and report maintenance activity
• Comfortable with local travel up to 80% and overnight travel up to 50%
• Clear written and verbal communicator capable of producing structured service documentation
• Demonstrated commitment to safety and disciplined field execution

Bonus points if you have:

• Experience with 6-axis robot brands such as Fanuc, KUKA, Yaskawa, ABB, or Universal Robots
• Familiarity with palletizing, case packing, pick-and-place, or conveyor systems
• Experience in food, beverage, packaging, CPG, or other high-speed manufacturing environments
• Prior customer-facing field experience
• Spanish language proficiency

Remote (US)

ABOUT PERFORMLINE

PerformLine is a leading provider of multi-channel marketing compliance technology for enterprises in highly regulated industries. The company's platform supports pre-publication review of marketing assets and post-publication monitoring across marketing channels including web, social, and email—helping organizations manage risk, ensure regulatory compliance, and protect their brands at scale. PerformLine is headquartered in Morristown, New Jersey, and serves clients across financial services and other regulated markets.

Come as you are. We are an equal opportunity workplace celebrating diversity and committed to creating an inclusive and equitable experience for all.

MISSION

Our mission is to empower compliance leaders with the technology and knowledge to ensure their organization and partners provide transparent and accurate information to consumers across any channel.

TL;DR

Our Tech Team is looking for a Senior Software Engineer who is excited to build what is next. You'll help us bring AI powered features to life on AWS, expanding what our platform can do for customers and improving how our systems run every day! Think work similar to the recent AWS Blog Post about integrating Bedrock into real products.

On our team, you'll take on projects that matter, with visibility across the company and the freedom to shape solutions. You will influence how we build, strengthen our engineering practices, and contribute to a positive team culture. At PerformLine you can expect to own your work, solve meaningful problems, and push innovation forward at a growing company.

WHAT YOU’LL DO

Be the Expert 

• Build cloud native services on AWS using the right mix of serverless, containerized, and event driven patterns
• Work across Go or Python depending on what best serves the platform and the problem
• Design and implement small LLM powered features using AWS Bedrock in a safe, controlled, user initiated manner
• Strengthen reliability and observability across distributed systems through logging, metrics, tracing, and actionable dashboards
• Apply modern AWS service patterns to improve scale, reduce cost, and accelerate development
• Contribute to internal best practices for integrating deterministic logic with AI assisted workflows

Be a Force Multiplier 

• Help the team adopt efficient cloud first patterns and improve the way we build and operate services on AWS
• Make the whole team better by advocating for best practices, gently reminding people of why the processes we have exist, and helping less experienced engineers find ways to ‘level up’
• Embrace having a large impact on team morale, culture, feedback, and even recruiting
• Represent your engineering organization outside of the company

WHO YOU ARE

• Comfortable working in Go or Python without being anchored to a specific language
• Quick to learn new AWS services, tools, or frameworks and apply them productively
• Values clarity in distributed system design and thrives in environments where requirements evolve
• Understands how to integrate AI capabilities into existing systems without compromising reliability
• Balances experimentation with discipline and recognizes when simple solutions are better than clever ones
• Approaches cloud architecture with a practical view of cost, performance, and security
• Sees ambiguity as an opportunity to drive alignment and move work forward
• Empathetic and collaborates with peers & stakeholders to deliver
• Never operates with an adversarial attitude
• Seeks out coaching and takes critical feedback well

WHAT YOU BRING

• Strong hands on experience building backend systems on AWS using services such as Lambda, ECS, SQS, SNS, DynamoDB, S3, API Gateway, and IAM
• Experience writing production software in Go or Python and the ability to move between both
• Familiarity with AWS Bedrock or other LLM platforms and how to integrate model calls into backend services
• Experience instrumenting applications with observability tooling for metrics, logs, and traces
• Practical knowledge of event driven architecture, asynchronous processing, and distributed debugging
• Solid understanding of CI/CD workflows, deployment patterns, and version control using GitHub
• Experience designing and evolving REST based APIs in production environments

WHAT WE OFFER

• Estimated base salary range $120,000 - 170,000 plus annual discretionary bonus.
  • Exact compensation for this role depends on a variety of factors, including experience, skills, internal equity, market data, and location.
• To view our benefits package, visit the PerformLine Careers page!

PerformLine participates in E-Verify

This role requires work authorization without employer sponsorship

At JetBrains, code is our passion. Since we started in 2000, we have strived to make the most effective developer tools on earth so developers can learn fast and make amazing things happen – with code. Customer Success Engineers (CSE) are technical points of contact for JetBrains customers. They work with the JetBrains product teams and customers to ensure that the products meet the needs of our enterprise users, helping our products retain their position as the best on the market.

Many of our customers begin with a set of strategic projects that grow into sizable partnerships. We are looking for Customer Success Engineers to build great technical relationships with our customers and grow JetBrains' business. We care deeply about the success of our customers and about the quality of our work. In addition to having a passion for working with others, the ideal candidate will be able to deepen our relationships with customers and serve as a technical advisor to them.

In this role, you will:

• Work closely with JetBrains Account Executives.
• Help customers adopt JetBrains products and services to achieve desired business outcomes. This responsibility may include whiteboarding and assisting with the development of architecture or providing support for overcoming technical and cultural barriers to adoption.
• Manage the technical relationships for a portfolio of accounts, and partner with other members of the account team to define and implement the account strategies.
• Be the customers’ advocate within JetBrains, representing them to the Support and Product Engineering teams, as well as other groups.
• Recommend product enhancements based on your experiences with the customers and the feedback you receive from them.
• Help product teams present and evaluate new product ideas to the customers in your portfolio.
• Act as a trusted technical advisor to customers, staying up to date on the ever-evolving state of technology both within JetBrains and in the field at large.
• Work with Sales to facilitate account expansions by developing short-term and long-term account plans that meet customer needs.

We will be happy to have you on our team if you have:

• Proven experience in technical consulting, technical customer success, or other customer-facing technical roles.
• Extensive experience in software development, QA, IT, DevOps, ML, or any related IT field – the wider the variety of fields, the better.
• Hands-on knowledge of AI/LLMs in the field of software development.
• A passion for continually improving the customer experience.
• Strong verbal and written communication skills in English and the local language of your office.
• Exceptional presentation skills for demonstrating JetBrains products to customers.
• The ability to quickly identify and address technical and business challenges related to software development tooling.
• The ability to convey technical concepts to customers of all technical backgrounds.
• Comfort in a fast-paced and dynamic working environment.
• Experience working in or with large software development teams.
• A collaborative and team-focused mentality, with a willingness to take initiative.
• Self-direction and resourcefulness.
• The ability to travel approximately 25% of the time.

#LI-HYBRID

#LI-JP1

#LI-REMOTE

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

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

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.)

Role

We are looking for a Senior Sales Engineer to join our team located in either New York City, New Jersey or North Carolina. This role will report to the Sales Engineering Manager for the Americas Field Sales team.

You will be responsible for architecting technical solutions that directly address and resolve critical customer pain points.

What you’ll do (Role Expectations)

• Overseeing the technical sales process
• Running Proof of Value from start to finish, as the technical and industry expert
• Collaborating and supporting internal Zscaler teams

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• Bachelor's Degree or equivalent experience
• 5 to 8+ years of experience as a Sales Engineer or Systems integrator
• Knowledge of network security technologies

What Will Make You Stand Out (Preferred Qualifications)

• Industry certifications including CCNP, JNCIP, PCNSA , CISSP, or CCSP
• Experience working with large enterprise and major accounts

#LI-remote

#LI-BG2

We are looking for a Senior Sales Engineer to join our team located in either New York City or New Jersey. This role will report to the Sales Engineering Manager for the Americas Field Sales team.

You will be responsible for architecting technical solutions that directly address and resolve critical customer pain points.

What you’ll do (Role Expectations)

• Overseeing the technical sales process
• Running Proof of Value from start to finish, as the technical and industry expert
• Collaborating and supporting internal Zscaler teams

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• Bachelor's Degree or equivalent experience
• 5 to 8+ years of experience as a Sales Engineer or Systems integrator
• Knowledge of network security technologies

What Will Make You Stand Out (Preferred Qualifications)

• Industry certifications including CCNP, JNCIP, PCNSA , CISSP, or CCSP
• Experience working with large enterprise and major accounts

#LI-remote

#LI-BG2

Position Overview

As a Security Engineer (Pre‑Sales) at Vectra.ai, you will blend deep technical expertise with strong customer‑facing skills to build trust, influence architectural direction, and drive successful outcomes for our clients. You’ll guide prospects through technical discovery, articulate how Vectra’s AI‑driven detection and response platform solves their most critical security challenges, and deliver compelling demonstrations and proofs‑of‑concept that showcase our value.

Responsibilities

• Pre-Sales support and Technical Account Management associated to your Regional Sales Managers
• Walk customers and partners through demos and problem solving in clear, concise matter by being the subject matter expert on all things Vectra.
• Communicate cross functionally constantly to ensure all key stakeholders are in the loop in order to insure best-of-breed products, tools and documentations.
• Develop and maintain an in-depth technical knowledge of the Vectra product line.
• Identify new opportunities by creating and developing strong technical relationships with customers and channel partners.
• Maintain knowledge at a high technical level of the current security landscape.
• Collaborate with Customers on Technology reviews, product findings, and integration with other technologies they may have.
• Collaborate with other Vectra Engineers on high-level projects to deliver Vectra technologies to our customers.
• Explore and maintain knowledge of Vectra's key competitors.
• Participate in deployment review and forecast calls.
• Participate in design review and release meetings.
• Travel as needed within region.

 Experience and soft skills

• Startup DNA is a must: willing and able to do "whatever it takes" with motivation to find solutions rather than admire the challenge.
• Customer-first behaviour is a must.
• Ability to work hands-in-hands with your Sales counterpart (RSM).
• 5+ years experience in a Technical Account Management or Security Engineering role.
• Large account management experience is required.

Technical qualifications

• Deep understanding of security-focused product lines (CASB, EDR, SIEM or forensics-type platforms) with the ability to translate into value and security best practices.
• Strong knowledge in networking and ability to understand L3 to L7 OSI layers.
• String written (RFP) and verbal communications (Pre-sales presentations and conferences) are a must.
• Good understanding of an attacker progression (Red Team or Pentest). Certifications such as CEH, OSCP, OSCE is a plus.
• Good understanding of Incident Response (Blue Team) methodologies. Certifications such as GNFA is a plus.
• Good understanding of Cloud Security and Network Architectures. Certifications such as AWS Certified Security Specialty (SCS-C01) is a plus.
• Good understanding of Security Processes and methodologies. Certifications such as CISSP is a plus

We are seeking a Principal Controls & Hardware Engineer to serve as a technical authority for the architecture, design, and delivery of embedded control hardware used in advanced semiconductor manufacturing equipment. This role owns control system hardware strategy, drives complex design decisions, and partners across disciplines to deliver reliable, high‑performance systems deployed in production environments.

This position is suited for a deeply experienced engineer with demonstrated leadership in embedded controls, microprocessor‑based systems, and complex control hardware, capable of influencing design direction across multiple programs.

Key Responsibilities

• Lead the architecture and design of embedded control hardware for semiconductor manufacturing equipment
• Define and implement control system hardware strategies, standards, and best practices across programs
• Design complex electronic systems incorporating microprocessors, microcontrollers, ADCs, DACs, and mixed‑signal circuitry
• Own schematic capture, design integrity, and review using OrCAD Capture or equivalent EDA tools
• Perform and review analog, digital, and mixed‑signal circuit simulation using OrCAD PSpice or similar tools
• Lead hardware bring‑up, validation, and root‑cause analysis using oscilloscopes, logic analyzers, and advanced lab instrumentation
• Troubleshoot complex system‑level issues at the hardware and controls interface, including analog, digital, and mixed‑signal domains
• Partner closely with software, embedded firmware, mechanical, and systems engineers to ensure cohesive control system integration
• Provide technical leadership through design reviews, mentoring, and cross‑functional collaboration
• Guide prototype development, risk mitigation, and design trade‑offs across the full product lifecycle
• Author and review high‑quality technical documentation, specifications, and design rationale
• Occasional travel to support development, integration, or escalated technical investigations

Required Qualifications

Education & Experience

• Master’s degree or higher in Electrical Engineering, Computer Engineering, or a related engineering discipline
• 10+ years of progressive experience designing embedded controls and hardware systems, with demonstrated technical leadership

Core Technical Expertise

• Recognized expertise in embedded controls and control system design
• Extensive experience with microprocessors and microcontroller‑based architectures
• Advanced proficiency in analog, digital, and mixed‑signal circuit design and simulation
• Strong hands‑on experience with electrical circuit simulation using OrCAD PSpice or similar tools
• Proven ability to debug and resolve complex hardware‑level issues across analog, digital, and mixed‑signal systems
• Deep experience designing electronic boards incorporating microcontrollers, ADCs, DACs, and supporting circuitry
• Solid understanding of embedded systems environments and hardware/firmware interfaces
• Expert use of oscilloscopes, logic analyzers, and electronic test equipment
• Exceptional attention to detail, technical judgment, and documentation rigor
• Proficiency with Microsoft Office applications

Preferred Qualifications

• Experience writing embedded firmware or a strong working knowledge of embedded firmware development and debugging
• Experience in the semiconductor manufacturing equipment industry (preferred, not required)
• Control hardware experience for auto RF matching networks and/or RF generators
• Experience with Texas Instruments Sitara processors
• Experience with Analog Devices Blackfin processors
• Experience with Xilinx Spartan FPGAs
• Background in Electrical Engineering or Computer Engineering applied to complex, real‑time control systems

Role Overview

We are seeking a Principal Firmware Engineer for Controls & Hardware Design to serve as a technical authority for the architecture, design, and delivery of embedded control hardware and hardware/firmware interfaces used in advanced semiconductor manufacturing equipment. This role owns control system hardware strategy, drives complex design decisions, and partners closely with embedded firmware teams to deliver reliable, high‑performance control platforms deployed in production environments.

This position is suited for a deeply experienced engineer with demonstrated leadership in embedded control systems, microprocessor‑based platforms, and hardware/firmware integration, capable of influencing architecture and design direction across multiple programs.

Key Responsibilities

• Lead the architecture and design of embedded firmware for control hardware platforms
• Define and implement embedded firmware strategies, standards, and best practices that enable robust firmware development and long‑term platform scalability
• Familiar with complex electronic systems incorporating microprocessors, microcontrollers, ADCs, DACs, and mixed‑signal circuitry optimized for embedded firmware execution
• Familiarity with reading schematics
• Lead firmware bring‑up, validation, and integration, including early firmware execution, board support validation, and interface verification
• Troubleshoot complex system‑level issues at the hardware, firmware, and controls interface, spanning analog, digital, and mixed‑signal domains
• Partner closely with embedded hardware, software, mechanical, and systems engineers to ensure cohesive and predictable control system behavior
• Provide technical leadership through design reviews, mentoring, and cross‑functional collaboration with firmware and controls teams
• Guide prototype development, risk mitigation, and design trade‑offs across the full product lifecycle, with emphasis on firmware enablement and maintainability
• Author and review high‑quality technical documentation, including hardware/firmware interface definitions, design rationale, and system specifications
• Occasional travel to support development, system integration, or escalated technical investigations

Required Qualifications

Education & Experience

• Master’s degree or higher in Electrical Engineering, Computer Engineering, or a related engineering discipline
• 10+ years of progressive experience designing embedded control and hardware systems, with demonstrated technical leadership

Core Technical Expertise

• Embedded firmware development in C
• Experience with Linux
• Recognized expertise in embedded firmwareand control system design
• Familiarity with microprocessor‑ and microcontroller‑based architectures supporting embedded firmware
• Proven ability to debug and resolve complex firmware‑level and hardware/firmware interaction issues
• Deep experience designing electronic boards incorporating microcontrollers, ADCs, DACs, and supporting circuitry
• Solid understanding of embedded systems environments, real‑time behavior, and hardware/firmware interfaces
• Expert use of oscilloscopes, logic analyzers, and electronic test equipment
• Exceptional attention to detail, technical judgment, and documentation rigor
• Proficiency with Microsoft Office applications

Preferred Qualifications

• Experience with embedded hardware or a strong working knowledge of embedded hardware development, bring‑up, and debugging
• Experience in the semiconductor manufacturing equipment industry (preferred, not required)
• Control hardware experience for auto RF matching networks and/or RF generators
• Experience with Texas Instruments Sitara processors
• Experience with Analog Devices Blackfin processors
• Experience with Xilinx Spartan FPGAs
• Background in Electrical Engineering or Computer Engineering applied to complex, real‑time embedded control systems

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.

What We're Looking For

We are seeking a QA Engineer II to join our Online Banking and Mobile Banking teams. You will contribute to developing test cases, building automation, and performing testing on the services and applications that make up Cross River's COS platform. The ideal candidate is a collaborative engineer with experience testing reliable, performant, and scalable services.

Responsibilities:

• Collaborate with internal and external teams to perform manual and automated testing across Online Banking and Mobile Banking applications
• Contribute to building and maintaining test automation across critical business domains
• Participate in planning, triage, and prioritization of testing activities
• Write and execute test cases for functional, regression, and API testing
• Identify, document, and track defects through resolution
• Actively contribute to a collaborative, quality-focused culture within the team

Qualifications:

• 3+ years of experience in quality assurance and test automation
• Working knowledge of C#; experience with Specflow/Reqnroll is a plus
• 1+ years of experience with SQL
• 1+ years of experience testing RESTful APIs
• Familiarity with CI/CD pipelines and version control (e.g., Git)
• Familiarity with AI assistive and agentic code generation (e.g. Copilot, Claude Code, Cursor)
• Strong analytical and communication skills
• Experience working in banking, finance, crypto, or fintech is helpful but not required

#LI-KR1 #LI-Hybrid

Salary Range: $110,000.00 - $140,000.00

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.