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

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.

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.

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.

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. 

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

SUMMARY

As a Senior Solutions Engineer, you will be responsible for supporting our Strategic accounts in the NY/NJ Region reporting to the regional Manager, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

LOCATION

Seeking candidates in the New York/New Jersey metro area. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meetups, and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at strategic customers
• Ability to travel
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

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

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

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.)