The Team

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. 

The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. 

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. 

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. 

The ideal candidate should

• Have 5+ years of experience running critical systems at scale
• Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
• Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
• A strong understanding of how to run a large scale Linux environment, including low level fundamentals 
• Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)

Special Requirements:

• Be a US Citizen

Expectations

• Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
• Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426187

Overview of Opportunity 

As a Systems Engineer focused on Implementation, you will work alongside our experienced product team as the tip of the spear, driving technical implementations that safeguard our nation's most critical data. Our team of skilled engineers and developers operates as a collaborative, high-impact unit, maintaining a culture founded on partnership, customer engagement, and delivering solutions alongside data owners and policy makers. In this role, you are an independent strategist influencing the future of data protection and playing a vital part in securing the infrastructure of our nation.

We are looking for a technical expert who excels in high-stakes, onsite engagement with other teams and customers and possesses a deep understanding of the security, access control, and encryption components of customer systems with which we deploy our Zero Trust product. You will be expected to operate with a high degree of autonomy, where your technical insights and decisions directly shape the deployment strategy. You are the primary bridge between our internal product team and the customer, ensuring that implementation patterns are repeatable, secure, and perfectly aligned with client infrastructure.

What you will do 

• Strategic Onsite Implementation: Architect and lead the technical deployment strategy within client environments, taking full ownership of the installation, configuration, and integration phases.

• Technical Bridge & Collaboration: Drive the collaboration between the internal product team and the customer, translating complex technical requirements into successful production realities and ensuring customer feedback informs product evolution.

• Identity & Access Integration: Coordinate the integration of identity solutions, ensuring seamless interoperability between the product and existing client authentication systems.

• Repeatable Pattern Development: Design and document repeatable implementation patterns and "Configuration as Code" (CaC) templates to ensure deployments are consistent, scalable, and easily maintainable.

• Cross-Functional Troubleshooting: Navigate complex organizational structures to integrate with multiple teams, troubleshooting technical hurdles across various skillsets and levels to see the product implementation to fruition.

• Infrastructure Management: Work fluently within Infrastructure as a Service (IaaS) environments, leveraging Linux expertise to optimize product performance and stability.

• DevOps Advocacy: Apply modern DevOps practices to the implementation lifecycle, promoting automation and continuous improvement in the delivery process.

What you will need:

• Independent Driver: A self-starter who operates with minimal supervision, manages their own deadlines, and takes personal responsibility for the success of the implementation from day one.

• Strategic Influence: The ability to provide expert technical guidance that carries weight with both internal developers and external stakeholders. Your thoughts and technical opinions matter and will drive project outcomes.

• Integration & Diplomacy: Exceptional ability to work alongside diverse technical teams (Network, Security, SysAdmin) to solve problems and drive progress in challenging onsite environments.

• Pattern-Oriented Mindset: A drive to move away from "one-off" fixes toward developing repeatable, automated patterns that improve the product's delivery velocity.

• Linux Mastery: Deep, "under-the-hood" knowledge of Linux operating systems, including performance tuning and security hardening.

• Infrastructure as a Service (IaaS): Proven experience deploying and managing resources in cloud or virtualized environments.

• Configuration as Code (CaC): Proficiency in using automation tools (such as Ansible or Terraform) to manage application and system configurations.

• DevOps Practices: Working knowledge of CI/CD, version control (Git), and automated testing as they apply to product implementation.

Nice to haves:

• PKI & Encryption: Experience with x509/PKI standards, including certificate authority management, trust chain configuration, and cryptographic troubleshooting.

• Identity & Access / LDAP: Familiarity with LDAP and integrated identity solutions (e.g., SailPoint, Okta, ForgeRock, or custom enterprise stacks).

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related technical field.

• Experience: 5+ years of experience in technical implementation, systems engineering, or product development, with a clear track record of successful onsite delivery in complex environments.

Security Clearance:

• Active TS/SCI w. Poly

#LI-JS

About the role:
Starburst Data is seeking a highly skilled and motivated and self starting individual to join our team as a Resident Solution Architect. In this role, you will be responsible for working closely with our customers to understand their business challenges and requirements, and then architecting and implementing solutions using Starburst products. In this role, you will also work closely with our partner ecosystem and will design and implement comprehensive training programs, ensuring partners are equipped to deliver top-tier solutions to clients. As a Resident Solution Architect, you will serve as a trusted advisor to our customers, helping them maximize the value of their data and achieve their business objectives.

As a Resident Solution Architect at Starburst you will: 

• Collaborate with customers to understand their business goals, data architecture, and technical requirements.
• Design end-to-end solutions that leverage Starburst products to address customer needs, including data access, analytics, and performance optimization.
• Develop architectural diagrams, technical specifications, and implementation plans for customer projects.
• Lead the implementation and deployment of Starburst solutions, working closely with customer teams and internal stakeholders.
• Learn in depth how the engine, connectors and integrations with 3rd party products work.
• Provide technical guidance and best practices to customers on using Starburst products effectively.
• Work with partners to train and upskill external personnel on Starburst Products for successful delivery.
• Collaborate with internal teams and external partners to create resources, best practices, application flow diagrams and internal processes that enhance partner delivery capabilities
• Troubleshoot and resolve technical issues that arise during the implementation and operation of Starburst solutions.
• Stay current on industry trends, emerging technologies, and best practices in data management and analytics.

Some of the things we look for:

• Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
• 8+ years of experience in a technical role, such as solution architect, data engineer, or software engineer.
• Deep understanding of data architecture principles, including data modeling, data integration, and data warehousing.
• Proficiency in SQL and experience with distributed query engines (e.g., Presto, Trino, Apache Spark).
• Strong problem-solving skills and the ability to think strategically about business challenges and technical solutions.
• Excellent communication and interpersonal skills, with the ability to effectively interact with customers and internal teams.
• Experience with Linux OS, cloud platforms (e.g., AWS, Azure, Google Cloud), containerization technologies (e.g., Docker and Kubernetes) and programming/scripting (Java/Python/Bash) is a plus.
• Prior experience in client facing / consulting roles is highly desirable.
• Prior experience with open-source technologies and contributions to the open-source community are highly desirable.
• Prior experience with running technical training internally or externally is highly desirable.
• Familiarity with LLM-based data interaction patterns (e.g., natural
• language to SQL, retrieval-augmented generation) is a plus.
• Understanding of AI governance, data security, and risks associated
• with AI-generated queries and insights is a plus.

Ability to Travel: This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer

Where could this role be based?

• Charlotte, NC

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. 

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
• Collaborate with AI engineering and iPaaS  engineering teams to plan and deliver complex platform initiatives.
• Patch and optimize open-source components for performance and security.
• Build iPaaS and AI infrastructure at scale and cross-cloud.
• Manage and provision AWS infrastructure using Terraform and Kubernetes.
• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
• Improve and maintain CI/CD pipelines for scalable and secure component delivery.
• Tune Linux systems and open-source software for high performance and hardened security.
• Build internal tools to streamline engineering workflows and operational automation.
• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.
• Proven expertise in distributed systems and cloud-native architectures.
• Strong understanding of Linux internals, including networking and system-level performance tuning.
• Experience operating infrastructure on AWS at scale.
• Proficiency with Terraform, Kubernetes. 
• Solid understanding of network security and cloud security best practices.
• Hands-on experience optimizing CI/CD workflows and automating deployments.
• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.
• Experience building cross-cloud AI infrastructure.
• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
• Understanding of Vault or other secrets management systems.
• Contributions to or maintenance of open-source infrastructure projects.
  
  

Tech Stack

• AWS • Terraform • Kubernetes •  LiteLLM • Quadrant • ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.
• Collaborate with experienced engineers in the US and across international teams.
• Work in a highly technical environment focused on scalability, performance, and reliability.
• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.

This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

• Coordinate cross-team projects, ensuring smooth collaboration on shared goals.

• Collaborate with management to align engineering goals with company objectives.

• Perform a Tech Leader role for a group of engineers (planing, reporting, technical leading).

• Support the professional growth of other engineers by sharing knowledge and mentoring them.

Requirements

• 10+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

• Experience mentoring and developing engineers, fostering professional growth, and promoting knowledge sharing across teams.

• Experience working as a technical leader - planning, reporting, and guiding engineering efforts within a team.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.

• Collaborate with experienced engineers in the US and across international teams.

• Work in a highly technical environment focused on scalability, performance, and reliability.

• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.
  
  Compensation:
  This is a full-time, exempt position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

Overview

Responsibilities

• Participate in advanced Professional Services engagement types, including:
  • Enterprise migrations and architecture modernization efforts
  • System challenge resolution and advanced troubleshooting
  • System Recovery Confidence Exercises and disaster recovery protection
  • System proofs of concept for advanced ArcGIS Enterprise deployments
  • Advanced ArcGIS Enterprise and database upgrades and deployments
  • Windows, Linux, and Kubernetes‑based deployments
• Apply working knowledge of technologies that complement ArcGIS Enterprise, including relational databases (RDBMS), NoSQL stores, object storage systems, SAN, NAS, and related enterprise data tier components.
• Apply understanding of server‑side servicing stack models, enterprise authentication methods (native credentials, domain‑based authentication, SAML/OIDC, and related protocols), and foundational networking concepts such as TCP/IP, DNS, routing, and TLS.
• Lead customers and colleagues using well‑defined, repeatable system engineering methods that create shared understanding and successful outcomes at the intersection of ArcGIS Enterprise and enterprise IT systems.
• Collaborate closely with Professional Services staff to resolve complex technical challenges and support the technical growth and skill development of less‑experienced colleagues.

Requirements

• 5+ years of professional experience implementing and supporting enterprise GIS systems
• Experience administering ArcGIS Enterprise
• Familiarity with troubleshooting technical issues in server‑based systems
• Demonstrated ability to consistently apply a systematic, best‑practice‑driven approach to system engineering
• Ability to clearly communicate technical concepts to customers, executives, and technical and non‑technical audiences
• Ability to travel up to 25%
• Bachelor’s degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or a related STEM field

Recommended Qualifications

• Knowledge of or interest in additional ArcGIS technologies
• Practical experience with one or more major cloud providers
• Experience with scripting and/or programming languages such as shell scripting, Python, PowerShell, or similar
• System administration experience with Windows, Linux, and/or Kubernetes platforms
• Knowledge of or interest in networking concepts including HTTP, TCP, TLS, DNS, firewalls, and proxy technologies

#LI-MN1

#LI-Onsite

Overview

Responsibilities

• Participate in advanced Professional Services engagement types, including:
  • Enterprise migrations and architecture modernization efforts
  • System challenge resolution and advanced troubleshooting
  • System Recovery Confidence Exercises and disaster recovery protection
  • System proofs of concept for advanced ArcGIS Enterprise deployments
  • Advanced ArcGIS Enterprise and database upgrades and deployments
  • Windows, Linux, and Kubernetes‑based deployments
• Apply working knowledge of technologies that complement ArcGIS Enterprise, including relational databases (RDBMS), NoSQL stores, object storage systems, SAN, NAS, and related enterprise data tier components.
• Apply understanding of server‑side servicing stack models, enterprise authentication methods (native credentials, domain‑based authentication, SAML/OIDC, and related protocols), and foundational networking concepts such as TCP/IP, DNS, routing, and TLS.
• Lead customers and colleagues using well‑defined, repeatable system engineering methods that create shared understanding and successful outcomes at the intersection of ArcGIS Enterprise and enterprise IT systems.
• Collaborate closely with Professional Services staff to resolve complex technical challenges and support the technical growth and skill development of less‑experienced colleagues.

Requirements

• 5+ years of professional experience implementing and supporting enterprise GIS systems
• Experience administering ArcGIS Enterprise
• Familiarity with troubleshooting technical issues in server‑based systems
• Demonstrated ability to consistently apply a systematic, best‑practice‑driven approach to system engineering
• Ability to clearly communicate technical concepts to customers, executives, and technical and non‑technical audiences
• Ability to travel up to 25%
• Bachelor’s degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or a related STEM field

Recommended Qualifications

• Knowledge of or interest in additional ArcGIS technologies
• Practical experience with one or more major cloud providers
• Experience with scripting and/or programming languages such as shell scripting, Python, PowerShell, or similar
• System administration experience with Windows, Linux, and/or Kubernetes platforms
• Knowledge of or interest in networking concepts including HTTP, TCP, TLS, DNS, firewalls, and proxy technologies

#LI-MN1

#LI-Onsite

Overview

Responsibilities

• Participate in advanced Professional Services engagement types, including:
  • Enterprise migrations and architecture modernization efforts
  • System challenge resolution and advanced troubleshooting
  • System Recovery Confidence Exercises and disaster recovery protection
  • System proofs of concept for advanced ArcGIS Enterprise deployments
  • Advanced ArcGIS Enterprise and database upgrades and deployments
  • Windows, Linux, and Kubernetes‑based deployments
• Apply working knowledge of technologies that complement ArcGIS Enterprise, including relational databases (RDBMS), NoSQL stores, object storage systems, SAN, NAS, and related enterprise data tier components.
• Apply understanding of server‑side servicing stack models, enterprise authentication methods (native credentials, domain‑based authentication, SAML/OIDC, and related protocols), and foundational networking concepts such as TCP/IP, DNS, routing, and TLS.
• Lead customers and colleagues using well‑defined, repeatable system engineering methods that create shared understanding and successful outcomes at the intersection of ArcGIS Enterprise and enterprise IT systems.
• Collaborate closely with Professional Services staff to resolve complex technical challenges and support the technical growth and skill development of less‑experienced colleagues.

Requirements

• 5+ years of professional experience implementing and supporting enterprise GIS systems
• Experience administering ArcGIS Enterprise
• Familiarity with troubleshooting technical issues in server‑based systems
• Demonstrated ability to consistently apply a systematic, best‑practice‑driven approach to system engineering
• Ability to clearly communicate technical concepts to customers, executives, and technical and non‑technical audiences
• Ability to travel up to 25%
• Bachelor’s degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or a related STEM field

Recommended Qualifications

• Knowledge of or interest in additional ArcGIS technologies
• Practical experience with one or more major cloud providers
• Experience with scripting and/or programming languages such as shell scripting, Python, PowerShell, or similar
• System administration experience with Windows, Linux, and/or Kubernetes platforms
• Knowledge of or interest in networking concepts including HTTP, TCP, TLS, DNS, firewalls, and proxy technologies

#LI-MN1

#LI-Onsite

Overview

Responsibilities

• Participate in advanced Professional Services engagement types, including:
  • Enterprise migrations and architecture modernization efforts
  • System challenge resolution and advanced troubleshooting
  • System Recovery Confidence Exercises and disaster recovery protection
  • System proofs of concept for advanced ArcGIS Enterprise deployments
  • Advanced ArcGIS Enterprise and database upgrades and deployments
  • Windows, Linux, and Kubernetes‑based deployments
• Apply working knowledge of technologies that complement ArcGIS Enterprise, including relational databases (RDBMS), NoSQL stores, object storage systems, SAN, NAS, and related enterprise data tier components.
• Apply understanding of server‑side servicing stack models, enterprise authentication methods (native credentials, domain‑based authentication, SAML/OIDC, and related protocols), and foundational networking concepts such as TCP/IP, DNS, routing, and TLS.
• Lead customers and colleagues using well‑defined, repeatable system engineering methods that create shared understanding and successful outcomes at the intersection of ArcGIS Enterprise and enterprise IT systems.
• Collaborate closely with Professional Services staff to resolve complex technical challenges and support the technical growth and skill development of less‑experienced colleagues.

Requirements

• 5+ years of professional experience implementing and supporting enterprise GIS systems
• Experience administering ArcGIS Enterprise
• Familiarity with troubleshooting technical issues in server‑based systems
• Demonstrated ability to consistently apply a systematic, best‑practice‑driven approach to system engineering
• Ability to clearly communicate technical concepts to customers, executives, and technical and non‑technical audiences
• Ability to travel up to 25%
• Bachelor’s degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or a related STEM field

Recommended Qualifications

• Knowledge of or interest in additional ArcGIS technologies
• Practical experience with one or more major cloud providers
• Experience with scripting and/or programming languages such as shell scripting, Python, PowerShell, or similar
• System administration experience with Windows, Linux, and/or Kubernetes platforms
• Knowledge of or interest in networking concepts including HTTP, TCP, TLS, DNS, firewalls, and proxy technologies

#LI-MN1

#LI-Onsite

Overview

Responsibilities

• Participate in advanced Professional Services engagement types, including:
  • Enterprise migrations and architecture modernization efforts
  • System challenge resolution and advanced troubleshooting
  • System Recovery Confidence Exercises and disaster recovery protection
  • System proofs of concept for advanced ArcGIS Enterprise deployments
  • Advanced ArcGIS Enterprise and database upgrades and deployments
  • Windows, Linux, and Kubernetes‑based deployments
• Apply working knowledge of technologies that complement ArcGIS Enterprise, including relational databases (RDBMS), NoSQL stores, object storage systems, SAN, NAS, and related enterprise data tier components.
• Apply understanding of server‑side servicing stack models, enterprise authentication methods (native credentials, domain‑based authentication, SAML/OIDC, and related protocols), and foundational networking concepts such as TCP/IP, DNS, routing, and TLS.
• Lead customers and colleagues using well‑defined, repeatable system engineering methods that create shared understanding and successful outcomes at the intersection of ArcGIS Enterprise and enterprise IT systems.
• Collaborate closely with Professional Services staff to resolve complex technical challenges and support the technical growth and skill development of less‑experienced colleagues.

Requirements

• 5+ years of professional experience implementing and supporting enterprise GIS systems
• Experience administering ArcGIS Enterprise
• Familiarity with troubleshooting technical issues in server‑based systems
• Demonstrated ability to consistently apply a systematic, best‑practice‑driven approach to system engineering
• Ability to clearly communicate technical concepts to customers, executives, and technical and non‑technical audiences
• Ability to travel up to 25%
• Bachelor’s degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or a related STEM field

Recommended Qualifications

• Knowledge of or interest in additional ArcGIS technologies
• Practical experience with one or more major cloud providers
• Experience with scripting and/or programming languages such as shell scripting, Python, PowerShell, or similar
• System administration experience with Windows, Linux, and/or Kubernetes platforms
• Knowledge of or interest in networking concepts including HTTP, TCP, TLS, DNS, firewalls, and proxy technologies

#LI-MN1

#LI-Onsite

Description:

Data Systems Analysts, Inc. (DSA) is seeking a TS/SCI cleared HPC Engineer to assist users executing computational workloads within secure High Performance Computing (HPC) environments. The HPC Engineer will work directly with engineers, analysts, and researchers to support job execution, troubleshoot workload failures, and improve the performance and efficiency of compute workloads running on HPC clusters.

The Engineer will assist users with scheduler job scripts, application execution, and workload performance troubleshooting while promoting HPC best practices for efficient cluster utilization. This role serves as the primary interface between mission users and HPC platform infrastructure teams.

This position requires strong Linux experience, scripting capability, and familiarity with distributed computing environments supporting scientific or engineering workloads.

This position is onsite in Charlottesville, VA.

Responsibilities:

• Provide user support for computational workloads running on HPC clusters in classified and unclassified environments.
• Assist users in developing, submitting, and troubleshooting scheduler job scripts for systems such as Slurm or PBS, including resource allocation for CPU, GPU, and distributed compute workloads.
• Troubleshoot slow, hanging, or failing HPC jobs including MPI based distributed workloads, GPU jobs, and large scale parallel applications.
• Support users compiling and executing scientific, modeling, or data processing applications within Linux based HPC environments.
• Provide guidance on HPC best practices for job scheduling, compute resource allocation, and workload performance.
• Monitor workload execution patterns and provide guidance to improve cluster throughput and resource utilization.
• Develop scripts or tools using Bash or Python to automate common operational tasks.
• Maintain documentation and knowledge base articles describing system capabilities, job execution procedures, and troubleshooting guidance.
• Support performance analysis of compute workloads to identify inefficiencies or configuration issues.
• Coordinate with HPC systems engineers when infrastructure or cluster configuration issues impact workload performance.
• Provide responsive on site support for users executing HPC workloads in mission environments.
• Maintain source controlled scripting and tools using Git or similar version control platforms.
• Assist users with environment modules and runtime environments required for executing HPC applications.

Required Education, Certifications and Security Clearance:

• BS degree in Engineering, Computer Science, or related STEM field
  • Experience may be substituted for degree
• TS/SCI Clearance
• Ability to obtain DoD 8140 (8570) IAT Level II certification

Required Experience/Qualifications:

• Minimum 5 years of Linux experience including command line system usage, scripting, and troubleshooting applications in multi-user server environments.
• Professional experience administering or supporting command line Linux systems (RHEL derivatives preferred).
• Experience developing scripts using Bash, Python, or similar scripting languages.
• Experience troubleshooting software execution issues in distributed computing environments.
• Working knowledge of job scheduling systems such as Slurm, PBS, Torque, or similar platforms.
• Experience supporting users in technical computing or engineering environments.
• Strong troubleshooting and analytical skills.
• Ability to communicate technical concepts clearly to both technical and non technical users.
• Active TS/SCI security clearance.

Preferred Experience/Qualifications:

• Experience as a user or administrator of HPC clusters.
• Experience supporting parallel computing frameworks such as MPI, OpenMP, or CUDA based GPU workloads.
• Experience supporting scientific or engineering applications requiring large scale compute resources.
• Experience using performance monitoring and optimization tools for compute workloads.
• Experience compiling applications using C, C++, Fortran, or Python based environments.
• Experience working in classified computing environments.
• Experience supporting GPU enabled workloads.

#DSA209

#LI-KE1

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Overview

Join us to work collaboratively with our talented team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference. You'll deploy and operate ArcGIS Velocity and ArcGIS Workflow Manager SaaS solutions. You will also have the opportunity to design, deploy, and operate next-generation real-time and big data GIS software-as-a-service (SaaS) capabilities for thousands of cloud users worldwide.

Our teams have a broad mix of experience levels and tenures that support an environment which promotes professional development. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Our team also puts a high value on work-life balance, and we understand that striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We offer a flexible hybrid schedule so you can have a more productive and well-balanced life both in and outside of work.

The Professional Services division is the consulting and implementation arm of Esri. We break ground in new markets, push the technology envelope and ultimately deliver transformational solutions to high profile clients worldwide. The Professional Services organization is comprised of nearly 1,000 talented business and technical professionals who strive every day to help our users be successful. This product team works closely with solution delivery consultants to envision and then ‘make real’ the emerging requirements in industry, government, and other user communities.

Responsibilities

• Collaborate with a team of SRE engineers to operate SaaS capabilities across multiple regions on the cloud platform
• Design, implement, configure, and utilize monitoring systems to monitor the health of SaaS products
• Manage infrastructure used for ArcGIS Velocity and ArcGIS Workflow Manager, respond to alerts, and troubleshoot problems to resolution
• Develop, implement, and maintain automation solutions for repetitive operational tasks, such as deployment pipelines, incident resolution, and scaling processes
• Design and implement the deployment and upgrade containerized micro-service components that, when combined, power Esri’s SaaS offerings
• Create and automate Git workflows to simplify code integration, testing, and infrastructure deployments
• Participate in technical spike efforts, bringing new innovative ideas to future versions of our software
• Troubleshoot the system incidents and provide root cause analysis reports
• Provide rotational on-call technical support

Requirements

• 5+ years of experience managing Kubernetes (EKS), logging and monitoring (ELK, Prometheus), and container technologies (Docker, ECS)
• Proficient in using Terraform for automating infrastructure provisioning and management
• Ability to design and automate Git workflows for streamlined code integration, testing, and infrastructure deployment
• Ability to write scripts to deploy infrastructure and/or applications (Bash, Python, Terraform)
• High level of understanding and experience with cloud computing platforms (AWS)
• Strong knowledge of Linux Operating system administration, including troubleshooting, performance tuning, and shell scripting
• Proficient in cloud networking, including VPCs, subnets, security groups, and VPNs in platforms like AWS
• Skilled in identifying and resolving system and application issues through effective troubleshooting and root cause analysis
• Working knowledge of a source control and issue management system, preferably GitHub
• Working knowledge of authoring, deploying, and troubleshooting Java applications on AWS Lambda
• Bachelor’s degree in computer science, computer engineering, GIS, or information systems

Recommended Qualifications

• 5+ years of experience designing, administering, and/or maintaining cloud environments, such as AWS, supporting 24×7 high-availability production environments
• Interest in working with GitOps principles to automate the deployment of applications on Kubernetes clusters
• Certifications: AWS Certified Solution Architect Associate, CKA/CKAD or similar
• Experience managing OpenSearch (datastore or logstore), and Kafka for managing distributed data streams and ensuring high availability in large-scale systems
• Ability to work with continuous integration and delivery best practices
• Knowledge of operating resilient, highly available, scalable, and performance SaaS capabilities
• Knowledge of Esri ArcGIS or other web mapping technologies
• Master’s degree in computer science, computer engineering, GIS, or information systems

#LI-DR5

Overview

Join us to work collaboratively with our talented team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference. You'll deploy and operate ArcGIS Velocity and ArcGIS Workflow Manager SaaS solutions. You will also have the opportunity to design, deploy, and operate next-generation real-time and big data GIS software-as-a-service (SaaS) capabilities for thousands of cloud users worldwide.

Our teams have a broad mix of experience levels and tenures that support an environment which promotes professional development. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Our team also puts a high value on work-life balance, and we understand that striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We offer a flexible hybrid schedule so you can have a more productive and well-balanced life both in and outside of work.

The Professional Services division is the consulting and implementation arm of Esri. We break ground in new markets, push the technology envelope and ultimately deliver transformational solutions to high profile clients worldwide. The Professional Services organization is comprised of nearly 1,000 talented business and technical professionals who strive every day to help our users be successful. This product team works closely with solution delivery consultants to envision and then ‘make real’ the emerging requirements in industry, government, and other user communities.

Responsibilities

• Collaborate with a team of SRE engineers to operate SaaS capabilities across multiple regions on the cloud platform
• Design, implement, configure, and utilize monitoring systems to monitor the health of SaaS products
• Manage infrastructure used for ArcGIS Velocity and ArcGIS Workflow Manager, respond to alerts, and troubleshoot problems to resolution
• Develop, implement, and maintain automation solutions for repetitive operational tasks, such as deployment pipelines, incident resolution, and scaling processes
• Design and implement the deployment and upgrade containerized micro-service components that, when combined, power Esri’s SaaS offerings
• Create and automate Git workflows to simplify code integration, testing, and infrastructure deployments
• Participate in technical spike efforts, bringing new innovative ideas to future versions of our software
• Troubleshoot the system incidents and provide root cause analysis reports
• Provide rotational on-call technical support

Requirements

• 5+ years of experience managing Kubernetes (EKS), logging and monitoring (ELK, Prometheus), and container technologies (Docker, ECS)
• Proficient in using Terraform for automating infrastructure provisioning and management
• Ability to design and automate Git workflows for streamlined code integration, testing, and infrastructure deployment
• Ability to write scripts to deploy infrastructure and/or applications (Bash, Python, Terraform)
• High level of understanding and experience with cloud computing platforms (AWS)
• Strong knowledge of Linux Operating system administration, including troubleshooting, performance tuning, and shell scripting
• Proficient in cloud networking, including VPCs, subnets, security groups, and VPNs in platforms like AWS
• Skilled in identifying and resolving system and application issues through effective troubleshooting and root cause analysis
• Working knowledge of a source control and issue management system, preferably GitHub
• Working knowledge of authoring, deploying, and troubleshooting Java applications on AWS Lambda
• Bachelor’s degree in computer science, computer engineering, GIS, or information systems

Recommended Qualifications

• 5+ years of experience designing, administering, and/or maintaining cloud environments, such as AWS, supporting 24×7 high-availability production environments
• Interest in working with GitOps principles to automate the deployment of applications on Kubernetes clusters
• Certifications: AWS Certified Solution Architect Associate, CKA/CKAD or similar
• Experience managing OpenSearch (datastore or logstore), and Kafka for managing distributed data streams and ensuring high availability in large-scale systems
• Ability to work with continuous integration and delivery best practices
• Knowledge of operating resilient, highly available, scalable, and performance SaaS capabilities
• Knowledge of Esri ArcGIS or other web mapping technologies
• Master’s degree in computer science, computer engineering, GIS, or information systems

#LI-DR5

Overview

Join us to work collaboratively with our talented team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference. You'll deploy and operate ArcGIS Velocity and ArcGIS Workflow Manager SaaS solutions. You will also have the opportunity to design, deploy, and operate next-generation real-time and big data GIS software-as-a-service (SaaS) capabilities for thousands of cloud users worldwide.

Our teams have a broad mix of experience levels and tenures that support an environment which promotes professional development. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Our team also puts a high value on work-life balance, and we understand that striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We offer a flexible hybrid schedule so you can have a more productive and well-balanced life both in and outside of work.

The Professional Services division is the consulting and implementation arm of Esri. We break ground in new markets, push the technology envelope and ultimately deliver transformational solutions to high profile clients worldwide. The Professional Services organization is comprised of nearly 1,000 talented business and technical professionals who strive every day to help our users be successful. This product team works closely with solution delivery consultants to envision and then ‘make real’ the emerging requirements in industry, government, and other user communities.

Responsibilities

• Collaborate with a team of SRE engineers to operate SaaS capabilities across multiple regions on the cloud platform
• Design, implement, configure, and utilize monitoring systems to monitor the health of SaaS products
• Manage infrastructure used for ArcGIS Velocity and ArcGIS Workflow Manager, respond to alerts, and troubleshoot problems to resolution
• Develop, implement, and maintain automation solutions for repetitive operational tasks, such as deployment pipelines, incident resolution, and scaling processes
• Design and implement the deployment and upgrade containerized micro-service components that, when combined, power Esri’s SaaS offerings
• Create and automate Git workflows to simplify code integration, testing, and infrastructure deployments
• Participate in technical spike efforts, bringing new innovative ideas to future versions of our software
• Troubleshoot the system incidents and provide root cause analysis reports
• Provide rotational on-call technical support

Requirements

• 5+ years of experience managing Kubernetes (EKS), logging and monitoring (ELK, Prometheus), and container technologies (Docker, ECS)
• Proficient in using Terraform for automating infrastructure provisioning and management
• Ability to design and automate Git workflows for streamlined code integration, testing, and infrastructure deployment
• Ability to write scripts to deploy infrastructure and/or applications (Bash, Python, Terraform)
• High level of understanding and experience with cloud computing platforms (AWS)
• Strong knowledge of Linux Operating system administration, including troubleshooting, performance tuning, and shell scripting
• Proficient in cloud networking, including VPCs, subnets, security groups, and VPNs in platforms like AWS
• Skilled in identifying and resolving system and application issues through effective troubleshooting and root cause analysis
• Working knowledge of a source control and issue management system, preferably GitHub
• Working knowledge of authoring, deploying, and troubleshooting Java applications on AWS Lambda
• Bachelor’s degree in computer science, computer engineering, GIS, or information systems

Recommended Qualifications

• 5+ years of experience designing, administering, and/or maintaining cloud environments, such as AWS, supporting 24×7 high-availability production environments
• Interest in working with GitOps principles to automate the deployment of applications on Kubernetes clusters
• Certifications: AWS Certified Solution Architect Associate, CKA/CKAD or similar
• Experience managing OpenSearch (datastore or logstore), and Kafka for managing distributed data streams and ensuring high availability in large-scale systems
• Ability to work with continuous integration and delivery best practices
• Knowledge of operating resilient, highly available, scalable, and performance SaaS capabilities
• Knowledge of Esri ArcGIS or other web mapping technologies
• Master’s degree in computer science, computer engineering, GIS, or information systems

#LI-DR5

Overview

Join us to work collaboratively with our talented team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference. You'll deploy and operate ArcGIS Velocity and ArcGIS Workflow Manager SaaS solutions. You will also have the opportunity to design, deploy, and operate next-generation real-time and big data GIS software-as-a-service (SaaS) capabilities for thousands of cloud users worldwide.

Our teams have a broad mix of experience levels and tenures that support an environment which promotes professional development. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Our team also puts a high value on work-life balance, and we understand that striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We offer a flexible hybrid schedule so you can have a more productive and well-balanced life both in and outside of work.

The Professional Services division is the consulting and implementation arm of Esri. We break ground in new markets, push the technology envelope and ultimately deliver transformational solutions to high profile clients worldwide. The Professional Services organization is comprised of nearly 1,000 talented business and technical professionals who strive every day to help our users be successful. This product team works closely with solution delivery consultants to envision and then ‘make real’ the emerging requirements in industry, government, and other user communities.

Responsibilities

• Collaborate with a team of SRE engineers to operate SaaS capabilities across multiple regions on the cloud platform
• Design, implement, configure, and utilize monitoring systems to monitor the health of SaaS products
• Manage infrastructure used for ArcGIS Velocity and ArcGIS Workflow Manager, respond to alerts, and troubleshoot problems to resolution
• Develop, implement, and maintain automation solutions for repetitive operational tasks, such as deployment pipelines, incident resolution, and scaling processes
• Design and implement the deployment and upgrade containerized micro-service components that, when combined, power Esri’s SaaS offerings
• Create and automate Git workflows to simplify code integration, testing, and infrastructure deployments
• Participate in technical spike efforts, bringing new innovative ideas to future versions of our software
• Troubleshoot the system incidents and provide root cause analysis reports
• Provide rotational on-call technical support

Requirements

• 5+ years of experience managing Kubernetes (EKS), logging and monitoring (ELK, Prometheus), and container technologies (Docker, ECS)
• Proficient in using Terraform for automating infrastructure provisioning and management
• Ability to design and automate Git workflows for streamlined code integration, testing, and infrastructure deployment
• Ability to write scripts to deploy infrastructure and/or applications (Bash, Python, Terraform)
• High level of understanding and experience with cloud computing platforms (AWS)
• Strong knowledge of Linux Operating system administration, including troubleshooting, performance tuning, and shell scripting
• Proficient in cloud networking, including VPCs, subnets, security groups, and VPNs in platforms like AWS
• Skilled in identifying and resolving system and application issues through effective troubleshooting and root cause analysis
• Working knowledge of a source control and issue management system, preferably GitHub
• Working knowledge of authoring, deploying, and troubleshooting Java applications on AWS Lambda
• Bachelor’s degree in computer science, computer engineering, GIS, or information systems

Recommended Qualifications

• 5+ years of experience designing, administering, and/or maintaining cloud environments, such as AWS, supporting 24×7 high-availability production environments
• Interest in working with GitOps principles to automate the deployment of applications on Kubernetes clusters
• Certifications: AWS Certified Solution Architect Associate, CKA/CKAD or similar
• Experience managing OpenSearch (datastore or logstore), and Kafka for managing distributed data streams and ensuring high availability in large-scale systems
• Ability to work with continuous integration and delivery best practices
• Knowledge of operating resilient, highly available, scalable, and performance SaaS capabilities
• Knowledge of Esri ArcGIS or other web mapping technologies
• Master’s degree in computer science, computer engineering, GIS, or information systems

#LI-DR5

PLEASE NOTE: This position ideally works a hybrid schedule in Charlotte, NC. (Tuesday-Thursday in-office). Strong preference for candidates who are in Charlotte, NC, or willing to relocate.

Role Summary

The DevOps Engineer supports reliable software delivery by helping maintain and improve CI/CD workflows, automation, and operational practices. This is an entry-level position: success is measured by learning quickly, executing well-defined tasks, improving documentation, and contributing to team reliability with guidance from senior engineers.

Key Responsibilities

• Support build, deployment, and configuration management activities for applications and services.
• Assist with CI/CD pipeline upkeep (e.g., troubleshooting pipeline failures, improving pipeline reliability, and documenting pipeline usage).
• Help implement and maintain automation for routine operational tasks (e.g., environment setup, deploy steps, basic health checks).
• Participate in incident response as appropriate for level, following runbooks and escalating when needed; contribute to post-incident follow-ups by updating documentation.
• Support monitoring and alerting hygiene (e.g., alert tuning suggestions, dashboard updates, basic log/metric validation) under direction.
• Maintain internal documentation as a standard part of day-to-day work (runbooks, SOPs, troubleshooting guides, and deployment documentation).
• Collaborate with software engineers, security, and platform teams to understand workflows and document repeatable procedures.

Required Qualifications

• 0-2 years of relevant experience (internships, co-ops, academic projects, or equivalent hands-on work are acceptable).
• Working knowledge of Git and a basic understanding of modern SDLC practices.
• Comfort operating in Linux environments and using the command line for routine tasks.
• Basic scripting ability (Bash) and the ability to read and modify scripts with guidance.
• Clear written communication skills and attention to detail, especially for creating and maintaining documentation.

Preferred Qualifications

• Exposure to AWS fundamentals (compute, networking, IAM concepts, and managed services).
• Familiarity with GitLab (repositories, merge requests, and CI/CD pipelines).
• Introductory programming experience in Python and/or C#.
• Basic familiarity with containerization (Docker concepts such as images, containers, and registries).
• Experience writing or maintaining technical documentation (wikis, runbooks, tutorials, or internal guides).

Working Style and Expectations

• Follow established operational procedures and document any gaps or improvements discovered while executing tasks.
• Ask questions early, communicate progress clearly, and escalate issues appropriately.
• Focus on repeatability: prefer automation and documentation over one-off fixes whenever practical.
• Demonstrate continuous learning (tools, platforms, and reliability practices) and apply feedback quickly.

Note: Tool exposure (AWS, GitLab, Bash, Python/C#, containerization) is helpful but not expected at an expert level for this entry-level role.

ABOUT LENDINGTREE

LendingTree is the nation’s leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit — from mortgages and personal loans to credit, savings, and insurance products. 

Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day.

What else you should know:

• We’re a publicly traded company (NASDAQ: TREE).
• We’ve welcomed several other companies into the LendingTree family to expand our reach and capabilities.
• We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
• We’re also committed to giving back — through philanthropic programs, volunteer opportunities, and partnerships that strengthen the communities where we live and work.

OUR CULTURE

We’re a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you’ll meet — and we celebrate innovation, inclusion, and ownership. At LendingTree, you’ll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another — with the flexibility and trust that help you thrive both personally and professionally.

We’re proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done” award is a fan favorite!)

Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.

LendingTree is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status.

CCPA Disclosure