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. 

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

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

Who We Are

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

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

About Our Team

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

What We’re Looking For

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

People & Project Management Responsibilities (~40%):

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

Engineering Responsibilities (~60%):

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

Qualifications:

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

Ideal Candidate:

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

#LI-KR1 #LI-Hybrid

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

Staff Full Stack Engineer

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

Work Environment: Hybrid

Role Summary:

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

What You’ll Do:

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

What You Need:

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

What's Nice to Have:

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

Additional Knowledge & Skills

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

Why You’ll Love Working at Exiger:

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

#LI-Hybrid

This is a full-time hybrid opportunity.

Snowflake Architect

Role Summary:

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

What You’ll Do:

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

What You Need:

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

What's Nice to Have:

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

Why You’ll Love Working at Exiger:

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

#LI-Hybrid

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

Senior Database Administrator 

Role Summary:

Exiger is seeking a motivated, self-driven Senior Database Administrator who designs, builds and optimizes database, works within a continuous integration and delivery pipeline, and embraces test automation as a discipline. You will manage core transactional databases and cloud data platforms, ensuring they are secure, performant, resilient, and aligned with our data strategy. You’ll work closely with engineering, data, and security teams to support new product features, data initiatives, and ongoing operational excellence.

What You’ll Do: 

• Architect and evolve cloud-native data platforms for production and analytics (RDS, Snowflake, S3, Iceberg, Trino/Athena).
• Drive architectural changes to improve scalability and reduce cost, including migration to open, storage-centric designs.
• Own performance optimization across data workloads, partnering on query, schema, and data model improvements.
• Lead modern data architecture beyond traditional databases (data lakes, open table formats, decoupled compute).
• Design and own high availability, disaster recovery, and multi-region strategies, balancing resilience, performance, and cost.
• Apply FinOps best practices to analyze and optimize cloud data spend.
• Collaborate cross-functionally with engineering, infrastructure, and security teams.
• Promote DevOps and platform best practices (IaC, automation, self-service, lifecycle management).
• Define standards for scalable, reliable, and cost-transparent data storage and access.
• Ensure security, compliance, and governance across databases and lakehouse platforms.
• Mentor engineers and DBAs on modern, cost-aware cloud data architecture.

Technical Environment

• Cloud platforms: AWS, GCP, and/or Azure
• Managed and self-managed databases: Snowflake, MySQL, SQL Server
• Lakehouse environments: S3, Iceberg Tables, Trino
• Infrastructure-as-Code: Terraform, AWS CloudFormation
• Monitoring, alerting, and observability tooling: DataDog, Kibana
• High-volume, highly regulated datasets

What You Need: 

• 8+ years of experience in database administration with increasing ownership of cloud architecture decisions
• Deep expertise in cloud-based database design, cost and efficiency planning, performance tuning, and scaling strategies
• Hands-on experience with high availability, replication, backup, and disaster recovery in the cloud
• Strong understanding of cloud networking, security, and identity as it relates to data platforms
• Experience supporting enterprise SaaS platforms with strict uptime and compliance requirements
• Prior experience in compliance, risk, financial services, or data-intensive SaaS environments preferred

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.

Cloud Data Architect

Role Summary:

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

What You’ll Do

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

What You Need

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

Nice to Have

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

Why You’ll Love Working at Exiger:

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

#LI-Hybrid

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