What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Install, configure, and maintain AI platform and tools.
• Design, deploy, and operate infrastructure supporting ML and LLM workloads.
• Build, containerize, and deploy AI services using Docker.
• Build and maintain Machine Learning CI/CD pipelines for training, testing, and deployment.
• Deploy and manage AI services across cloud and on-prem environments.
• Automate infrastructure provisioning using Terraform and Infrastructure-as-Code best practices.
• Monitor system performance, reliability, and scalability of AI platforms.
• Implement observability for agentic AI systems to ensure reliability, transparency, and debuggability.
• Perform regular security updates, patching, access control, and vulnerability remediation.
• Integrate AI tools with APIs, data platforms, and internal systems.
• Research, evaluate, and prototype new AI, LLM, and MLOps tools.
• Troubleshoot infrastructure, data, and deployment issues.
• Research, test, and prototype emerging AI technologies.
• Document system architecture, deployment processes, and operational runbooks.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years Practical experience with LLM platforms, LLMOps, and MLOps.
• Experience deploying and maintaining AI or data platforms in production.
• Hands-on experience with AI/automation tools.
• Experience designing and orchestrating agentic automation workflows.
• Strong experience with Terraform and Infrastructure-as-Code.
• Proven experience deploying applications using Docker (Docker files, image optimization, container lifecycle).
• Expertise with cloud platforms such as AWS.
• Expertise with CI/CD tooling (GitHub Actions, GitLab CI).
• Strong Knowledge of Kubernetes and orchestration.
• Solid understanding of networking.
• Experience supporting high-availability, production AI systems.
• Scripting skills (Python, PySpark, Bash).
• Knowledge of security best practices, patch management, and access controls.
• Collaborate with engineering, data, and product teams to support AI initiatives.
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.
• A teaching and coaching approach to guiding engineers and teams in approaches.
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Internal leveling code: IC8

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

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.

About the Role

LendingTree is seeking a SQL Operations Engineer to join our Platform Operations team. You will automate, scale, and support our cloud-based data ecosystem (Snowflake, AWS/Azure). This is a hands-on role focused on eliminating operational toil through CI/CD, robust monitoring, and automation-first engineering.

Key Responsibilities

• Snowflake Administration: Manage environments, security policies (RBAC), and performance tuning; optimize cost and query efficiency.
• Platform Automation: Build and maintain CI/CD pipelines for database deployments using GitLab and tools like Liquibase or Red Gate.
• Cloud Integration: Support integrations between Snowflake and AWS/Azure services, including object storage, messaging, and serverless functions (Lambda/Azure Functions).
• Pipeline & Streaming Ops: Maintain batch and streaming (Confluent Kafka) architectures; troubleshoot ETL/ELT failures and ensure data observability.
• Security & Reliability: Implement logging, auditing, and IAM controls; participate in incident response and root cause analysis (RCA).
• Collaboration: Partner with Data Engineering and Stakeholders to translate business needs into scalable technical solutions.

Required Qualifications

• Expertise: Deep hands-on experience with Snowflake administration and database performance tuning.
• Cloud & DevOps: Proficiency in AWS or Azure and building CI/CD pipelines for data platforms.
• Data Flow: Experience supporting Kafka (streaming) and ETL/ELT workflows.
• Technical Skills: Strong scripting skills (Python, SQL, or Bash) and familiarity with Git-based workflows.
• Troubleshooting: Proven ability to diagnose complex issues across distributed cloud systems.

Preferred Qualifications

• Experience with Infrastructure-as-Code (Terraform/CloudFormation).
• Familiarity with orchestration tools like Airflow.
• Experience with event-driven or serverless architectures.
• Knowledge of cloud cost optimization and observability tools.

What Success Looks Like

You are an automation-first engineer who thrives on ownership. You don't just "fix" problems—you build systems that prevent them. You are a clear communicator who balances technical excellence with a focus on security and reliability.

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

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.

This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week.

The Red Platform - Platform Engineering (RPPE) team at Red Ventures is seeking a Site Reliability Engineer to ensure our platforms and applications are resilient, scalable, and perform at scale. This is a strategic role focused on engineering reliability through first principles. Designing observability, automation, and operational practices that prevent failures rather than just responding to them.

You'll work in a small, high-impact team managing enterprise-scale systems across AWS, GCP, and Kubernetes environments with strict uptime requirements. This role emphasizes building reliability guardrails, comprehensive monitoring, and automation that enable the organization to operate with confidence and velocity.

Curious how Growth and Transformation fits into Red Ventures? Click here.

What You’ll Do:

• Ensure system reliability and performance across multi-cloud, multi-region platforms using first principles thinking
• Build and maintain comprehensive observability solutions (OpenTelemetry, New Relic, Grafana, Prometheus) that provide actionable insights into system health and performance.
• Automate infrastructure provisioning and deployments using Terraform and infrastructure-as-code practices
• Define, implement, and monitor SLOs/SLIs that align with business-critical SLAs and drive accountability for reliability.
• Manage and optimize Kubernetes clusters (EKS, GKE) with a focus on security hardening, performance, and operational excellence.
• Lead incident response efforts, troubleshoot complex system issues, restore service quickly, and conduct thorough root cause analysis
• Implement preventive measures and reliability improvements based on lessons learned from incidents and system behavior patterns.
• Partner with platform engineers and developers to embed reliability best practices into system architecture and delivery pipelines
• Proactively scale infrastructure capacity based on growth forecasts and traffic patterns.
• Contribute to architecture reviews with a deep focus on reliability, performance, and operational sustainability.
• Foster a culture of continuous improvement, systematic problem-solving, and operational excellence.

What We’re Looking For:

• 3–5 years of experience in SRE, DevOps, or cloud infrastructure engineering roles
• Experience leveraging AI/ML tools to enhance observability, including anomaly detection, alert noise reduction, and predictive incident identification
• Experience using generative AI or LLM-based tools to accelerate debugging, runbook creation, and operational knowledge sharing
• Strong hands-on experience with AWS and GCP cloud platforms
• Deep Kubernetes expertise (EKS, GKE), including security, networking, and operational best practices
• Proficiency with infrastructure-as-code using Terraform
• Experience building and maintaining observability systems (New Relic, Grafana, Prometheus, OpenTelemetry, or similar)
• Solid understanding of CI/CD pipelines and automated deployment strategies (Harness, Jenkins, GitLab CI, or similar)
• Strong scripting and automation skills (Python, Bash, Go, or similar languages)
• Proven track record of maintaining high-availability systems (99.9%+ uptime)
• Deep understanding of distributed systems, microservices architectures, and scalability patterns
• Experience with incident management, troubleshooting complex systems, and learning from failures
• Strong first-principles thinking, ability to reason from fundamentals rather than relying solely on existing patterns
• Excellent written and verbal communication skills with the ability to explain complex technical concepts clearly

Bonus Points For:

• Cloud certifications (AWS Solutions Architect, GCP Professional Cloud Architect, or equivalent)
• Experience with data platform infrastructure (Databricks, Snowflake, or similar)
• Familiarity with security scanning and remediation tools (Wiz, Aqua, Prisma Cloud, or similar)
• Knowledge of compliance frameworks (SOC 2, PCI-DSS, HIPAA) and their operational implications
• Experience with chaos engineering, resilience testing, or systematic failure injection
• Database performance tuning and optimization expertise (PostgreSQL, MySQL, etc.)
• Experience with log aggregation and analytics platforms (ELK Stack, Splunk, or similar)
• Understanding of cloud security, network architecture, and multi-region deployment patterns
• Familiarity with DLP (Data Loss Prevention) solutions (Netskope, Zscaler, or similar)
• Background working with regulated industries or highly available consumer-facing applications

Why Join Us?:

• Work in a small, high-impact team where your contributions directly shape system reliability and operational practices
• Focus on strategic engineering rather than firefighting. We build monitoring, automation, and guardrails that prevent problems rather than just reacting to them.
• Engage in first-principles thinking and a continuous-improvement culture that values thoughtful design over quick fixes.
• Collaborate across a multi-cloud environment (AWS, GCP, Kubernetes) supporting diverse, mission-critical workloads.
• Partner with platform engineers, developers, and principal engineers who provide technical guidance and collaboration
• Own reliability for systems that directly impact business outcomes and customer experiences
• Work alongside platform engineers to ensure the platforms they build are operationally sound and reliable at scale.

At Red Ventures, reliability isn't just about keeping systems running; it's about engineering resilience through thoughtful observability, automation, and operational discipline. You'll work with passionate engineers who value systematic problem-solving, learn from failures, and build reliability into every layer of the stack.

Compensation: 

This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications.

• Total Cash Compensation Range: $100,000 - $145,000 per year

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential.  That’s why we offer a generous and flexible PTO policy.  Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

Who We Are:

Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe and Puerto Rico. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, RV Education and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram.

At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment.

 We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.

Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. 

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.

If you are based in California, we encourage you to read this important information for California residents linked here.

At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity.

For more, the U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there!

#LI-HYBRID

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

Forward Networks is transforming how the world’s most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry’s first network digital twin, a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment.

Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward Networks customers realize an average of $14.2 million in annual benefits through improved efficiency and security.

Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward Networks offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations.

Forward Networks is looking for a Customer Success Engineer

• Do want to create a category and help build a special company?
• Join a company that has been in market 5+ years and has some of the top Federal agencies and F500/Global 2000 already buying and referenceable.
• We are building a special team and hope you consider us if you want to have the experience of changing the networking world as we know it. 

What you’ll do:

As a Customer Success Engineer for our Enterprise team, you will be responsible for providing world class post-sales technical leadership to our client base and will be onsite at our customer in NY.

Responsibilities:

• Providing advice and guidance as the Forward Networks subject matter expert to ensure successful ongoing usage and adoption of our technologies
• Taking ownership of post-sales technical issues, working with cross-functional teams to document problem resolution steps and troubleshooting procedures
• Walking customers through the various stages of adoption with Forward Networks Platform
• Working directly with our internal Product Management, Engineering, Sales and Marketing teams.
• Some travel  (10%)

Requirements:

• B.S. Computer Science or equivalent educational experience
• 5+ years of customer facing experience in a post-sales engineer role for a networking company, relevant software vendor, or as a network engineer for a large enterprise, service provider or Governmental agencies
• Must be willing to be onsite at customer location in either Charlotte, NC/ Jersey City, NJ/ NYC.

Experience:

• Strong understanding of Networking and Security fundamentals
• Experience in working with multiple Network vendors (e.g. A10, Arista, Cisco, F5, Fortinet, Juniper, Palo Alto Networks etc.)
• Strong verbal and written communications skills with a focus on needs analysis, positioning, business justification, and closing techniques; Superior presentation skills
• Excellent analytical & problem-solving skills, combined with the ability to provide quick resolution to problems
• Demonstrable success in thinking strategically, executing tactically while providing consistent and high levels of customer satisfaction and retention in a fast-paced environment 

Highly Desired:

• One or more of the following certificates: CCIE, JNCIE or VCDX
• Experience in working for a startup company
• Working knowledge of API driven workflows and scripting languages (Python, bash, jq, graphql, etc)

Ideal candidate will be onsite at customer location in Charlotte, NC.

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary +bonus is expected to be between $165,000/yr to $190,000/yr. The offered compensation may also include stock.

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