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.

FEQ227R170

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

The impact you will have:

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

What we look for:

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

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We’re now looking for a Customer Success Engineer (CSE) to help engineering teams successfully adopt Kotlin on the backend in real-world production environments.

Currently, this role is focused on adoption – helping Java teams introduce Kotlin into existing applications. You’ll work directly with organizations to guide migration, integration, troubleshooting, and scaling, ensuring they move from initial experiments to successful production use.

In addition, you’ll proactively communicate with prospective users to help them understand the Kotlin adoption process, as well as design and implement the migration path. 

Responsibilities

• Track and maintain visibility into organizations and their stage of Kotlin adoption (e.g., not started, evaluating, experimenting, production)
• Proactively engage with organizations across different phases of their Kotlin adoption journey
• Develop and recommend high-level adoption strategies tailored to each organization’s context
• Identify and document blockers that hinder progress and propose ways to address them
• Establish and manage feedback loops with development teams to ensure continuous alignment and improvement

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

Technical expertise

• Extensive hands-on experience with Kotlin, Java, and the JVM ecosystem
• Proven experience migrating Java backend codebases to Kotlin
• Experience with the Spring (Boot) ecosystem or similar frameworks (e.g., Quarkus, Micronaut, Ktor)
• Solid understanding of build tools and project structuring, including Maven and Gradle

Communication and customer engagement

• Experience in customer-facing technical roles such as Solutions Engineering, Developer Advocacy, or Technical Consulting
• Strong English communication skills, both written and spoken
• Ability to lead workshops, demos, talks, meetups, and other public-facing activities
• Comfort with outbound engagement, including identifying target companies, articulating value propositions, and building relationships with engineering teams
• Ability to effectively communicate with engineers, tech leads, and business stakeholders

System design and architecture

• Ability to design and guide Kotlin adoption strategies for backend applications
• Experience designing backend systems using common architectural patterns (e.g., monolith, modulith, microservices)

#LI-HYBRID
#LI-REMOTE
#LI-JP1

FEQ227R233

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

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

The impact you will have: 

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

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

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

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

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

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

What we look for:

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

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

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

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

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

COMPANY OVERVIEW

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

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

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

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

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

About the role:

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

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

Key responsibilities will include:

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

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

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

Why You Will Love It Here: 

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

FEQ427R309

Mission

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

The impact you will have:

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

What we look for:

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

FEQ227R259

Mission

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

The impact you will have:

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

What we look for:

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

FEQ227R228

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

Mission

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

The impact you will have:

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

What we look for:

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

Staff Full Stack Engineer

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

Work Environment: Hybrid

Role Summary:

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

What You’ll Do:

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

What You Need:

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

What's Nice to Have:

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

Additional Knowledge & Skills

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

Why You’ll Love Working at Exiger:

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

#LI-Hybrid

This is a full-time hybrid opportunity.

Senior Software Engineer

Location: Jersey City, NJ

Work Environment: Hybrid

Role Summary: 

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

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

What You'll Do:

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

What You Need:

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

Professional Experience Required

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

Why You’ll Love Working at Exiger:

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

#LI-Hybrid

This is a full-time hybrid opportunity.

Snowflake Architect

Role Summary:

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

What You’ll Do:

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

What You Need:

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

What's Nice to Have:

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

Why You’ll Love Working at Exiger:

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

#LI-Hybrid

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

Cloud Data Architect

Role Summary:

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

What You’ll Do

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

What You Need

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

Nice to Have

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

Why You’ll Love Working at Exiger:

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

#LI-Hybrid

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