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

We are looking for a Staff Software Engineer to join our Engineering team.

What you’ll do:

• Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc). 
• Take full ownership for solving complex problems from inception to execution. 
• Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
• Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
• Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
• Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact. 
• Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
• Work with Python and C applications  to resolve wide-ranging issues, and drive feature implementation. 

What you’ll need:

• Bachelor's Degree in Computer Science or related field.
• 6+ years programming experience, ideally on a modern stack.
• Experience: 4+ years of experience writing high-quality, production-grade Python.
• Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
• Ability to lead and influence a team's technical direction.
• Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
• Demonstrated ability to design resilient software components within a distributed system.
  
  

Nice to have:

• Familiarity with Python Flask and/or FastAPI frameworks.
• Experience developing in C.
• Domain knowledge in Payment Systems or financial tech.
  
  

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

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

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock 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.

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.

About the role

Starburst Data is seeking a highly skilled and experienced Technical Engagement Manager to join our dynamic team. In this role, you will be responsible for working closely with a few of our largest customers to understand their business challenges and requirements, architecting solutions using Starburst products and driving business outcomes across the customer journey, from initial engagement to successful adoption. As a Technical Engagement Manager, 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 Technical Engagement Manager at Starburst you will: 

• Establish trust and credibility by demonstrating Data & AI industry knowledge, understanding of the buyer's organization, and a track record of successful engagements.
• Build and nurture strong relationships with the champion, who serves as the internal advocate for the engagement within the customer organization.
• Offer support and guidance to the champion throughout the engagement process, helping them navigate internal processes and mobilize resources as needed.
• Proactively address concerns and objections raised by other stakeholders, leveraging insights from the champion and executive buyer to overcome obstacles and drive alignment.
• Solicit feedback from other stakeholders throughout the engagement process, incorporating their input to enhance service delivery and customer satisfaction.
• Collaborate with sales teams to understand customer needs and objectives to identify new use cases and/or adoption opportunities.
• Drive adoption of Starburst culminating in the Customer reaching its success criteria.
• Partner with internal teams, including architects, engineers, and project managers, to ensure successful delivery of services.
• Serve as one of the primary points of contact for customers throughout the engagement lifecycle.
• Monitor and report on key performance indicators (KPIs) to track the success of engagements.
• Drive continuous improvement in processes and methodologies to enhance customer satisfaction and project delivery efficiency.

Some of the things we look for:

• Bachelor's degree in business, technology, or a related field.
• 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.
• Proven track record of successfully managing customer engagements and delivering business outcomes.
• Excellent communication and interpersonal skills, with the ability to build strong relationships with customers and internal teams.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

• 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 engagements, and other company events. Actual travel expectations may vary by role and business needs.

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.

Red Ventures is looking for a Software Engineer to join our Banking Client Services organization. You’ll build and operate financial services web platforms for our banking partners using Next.js, hosted in high-availability multi-cloud Kubernetes environments. You’ll do it within a team that treats AI and automation as fundamental to how modern software gets built.

Our engineering group is AI-forward. We’ve integrated agentic workflows and automation into coding, ticket management, compliance, and cross-functional problem-solving and we expect every engineer to actively contribute to that momentum. You’ll use AI-assisted tools daily, build automation that makes the team faster, and partner with business and data science teams to apply AI to real problems.

This is an IC engineering role reporting to an Engineering Manager with a clear path for growth as our client partnerships expand.

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

What You’ll Do: 

Engineering Delivery 

• Build and maintain financial services web platforms using Next.js (React, TypeScript) with a focus on performance, reliability, and partner-grade quality.
• Deploy and operate applications in high-availability, multi-cloud Kubernetes environments, contributing to infrastructure-as-code, CI/CD pipelines, and deployment automation.
• Contribute to SRE practices: observability, alerting, incident response, and operational maturity for client-facing web properties.
• Write well-tested, reviewable code and actively participate in code reviews, advocating for quality across the team.
• Collaborate with designers, business stakeholders, and data science partners to deliver solutions that strengthen client trust.

AI & Automation

• Build and maintain agentic workflows and automation that improve engineering delivery, spanning coding assistance, ticket management, compliance processes, and operational tasks.
• Use AI-assisted development tools (IDE integrations, CLI agents, code review automation) as a core part of your daily workflow to accelerate output and improve quality.
• Partner with business and data science teams to identify automation opportunities and build AI-driven solutions to operational and client-facing problems.
• Evaluate emerging AI/ML tooling for software development and recommend adoption where it reduces toil or improves outcomes.
• Develop internal tooling and developer experience improvements that help engineers across teams move faster.

What We’re Looking For:

Software Engineering (3–5 Years Experience)

• Strong proficiency in JavaScript/TypeScript, React, and Node.js. Hands-on experience with Next.js is strongly preferred.
• Experience deploying and operating applications on Kubernetes in production environments. Familiarity with multi-cloud architectures (AWS, GCP, or Azure) is a plus.
• Solid understanding of web application architecture: client-server models, RESTful APIs, microservices, and server-side rendering.
• Demonstrated emphasis on code quality: testing strategies (unit, integration, end-to-end), code review practices, and engineering best practices.
• Experience with CI/CD pipelines and deployment tooling (e.g., Harness, GitHub Actions).
• Familiarity with Agile/Scrum methodologies and iterative delivery within sprint-based workflows.

AI Fluency & Automation

• Demonstrated experience building automation, internal tooling, or agentic workflows.
• Proficiency with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar IDE and CLI integrations.
• A builder’s mindset: you actively look for opportunities to automate repetitive work, streamline processes, and apply AI to engineering problems.
• Willingness to experiment with emerging AI capabilities and drive adoption through working examples and documentation.

Collaboration & Communication

• Clear written and verbal communication skills. Ability to explain technical decisions to peers and cross-functional partners.
• Comfort working across functions, you’ll collaborate regularly with data science, business, and design teams.
• A collaborative, team-first approach. You contribute to a psychologically safe environment and share knowledge freely.

Nice to Have:

• Familiarity with web analytics tools (e.g., Google Analytics, Mixpanel) and using data to inform engineering decisions.
• Experience with databases (SQL and/or NoSQL) and their integration with web applications.
• Understanding of container orchestration and cloud-native tooling beyond Kubernetes basics.

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:
  • Charlotte, NC Hybrid Compensation Range: $80,000 – $140,000 per year
  • New York, NY Hybrid Compensation Range: $100,000 – $175,000

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. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, 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-KS1 #LI-HYBRID

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.

Senior Cloud Platform Engineer (Multi-Cloud | Top Secret | DevSecOps)

Hybrid: Charlottesville, VA / Fort Belvoir, VA (within ~100 miles; periodic on-site presence required)
Clearance: Active Top Secret (SCI Eligible Required)

Why This Role Matters

At Rackner, we don’t just deploy infrastructure: we engineer secure, mission-critical cloud platforms that power national security programs.

This role is part of a competitive, high-visibility effort supporting a leading federal AI and multi-cloud initiative; meaning your impact is immediate and measurable.

As a Senior Cloud Platform Engineer, you will:

• Own and shape secure multi-cloud environments (Azure + AWS)
• Design and enforce Azure Landing Zones and cloud governance at scale
• Build hardened, compliant infrastructure aligned to DoD standards
• Operate as a technical leader across DevSecOps, platform engineering, and cloud architecture

This is not a support role. This is platform ownership in a regulated, high-impact environment.

What You’ll Do

• Own Azure Landing Zone architecture — design, implement, and enforce governance policies across environments
• Engineer secure multi-cloud platforms integrating Azure and AWS (networking, DNS, TLS, identity, access)
• Deploy Infrastructure as Code (Terraform) across production systems using CI/CD and GitOps methodologies
• Containerize and scale systems using Kubernetes (AKS/EKS) for resilient, repeatable deployments
• Harden infrastructure (Azure VMs, cloud services) to meet STIG and DoD compliance requirements
• Drive technical decisions across platform architecture, performance, and scalability
• Collaborate across engineering, DevSecOps, and mission stakeholders to deliver secure, production-ready systems

What You’ll Gain

• Ownership at the platform level — not just execution
• Direct impact on national security and AI-driven federal programs
• Exposure to multi-cloud architecture at scale (Azure + AWS)
• Opportunity to shape cloud governance, security, and infrastructure standards
• Continuous investment in your growth through fully funded certifications and training
• A high-trust environment where technical judgment and decision-making matter

Why Rackner

Rackner is a fast-growing consultancy trusted for innovation, execution, and impact across startups, enterprises, and the public sector. We specialize in cloud-native development, DevSecOps, AI/ML, and distributed systems architecture — delivering solutions that matter.

We invest in our people and provide:

• 401K with 100% match up to 6%
• Comprehensive Medical, Dental, Vision Insurance
• Life Insurance + Short & Long-Term Disability
• Highly Competitive PTO
• Home Office & Equipment Support
• Fully Covered Certifications & Training
• Industry-Leading Weekly Pay Schedule

Apply Now

If you’re a cloud engineer who wants to own systems, not just support them, and operate at the intersection of security, scale, and impact — we want to talk.

#TopSecret #CloudPlatform #AzureLandingZone #MultiCloud #AWS #Azure #Terraform #Kubernetes #DevSecOps #CloudSecurity #ClearedJobs #DoD #PlatformEngineering #CloudArchitecture #HybridJobs #CharlottesvilleJobs #ArlingtonVA #DefenseTech

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

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

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

Description

Data Systems Analysts, Inc. (DSA) is seeking a TS/SCI-cleared Software Engineer / Developer to design, build, and secure modern applications within a classified cloud environment. The engineer will develop containerized, cloud-native solutions using AWS GovCloud, integrate DevSecOps pipelines, and apply infrastructure as code (Terraform) to ensure repeatable, secure deployments.

The selected candidate will collaborate with cybersecurity, infrastructure, and mission teams to modernize legacy systems, integrate APIs, and deliver scalable capabilities across hybrid environments following Agile / Scrum principles.

This position is onsite in Charlottesville, VA.

Responsibilities:

• Design, develop, and deploy secure, cloud-native applications and services within AWS GovCloud.
• Implement and maintain CI/CD pipelines with integrated static / dynamic security scanning.
• Build and automate infrastructure provisioning using Terraform and Infrastructure as Code (IaC) best practices.
• Develop and integrate RESTful APIs connecting mission and enterprise systems.
• Containerize and orchestrate workloads using Docker and Kubernetes.
• Apply secure coding standards and remediate vulnerabilities identified through code or pipeline scans.
• Collaborate in Agile sprints, performing peer reviews, backlog refinement, and sprint demos.
• Document system design, deployment, and operational procedures for accreditation packages.
• Support modernization and cloud migration initiatives from on-premise to AWS architectures.

Required Education, Certifications and Security Clearance

• BS in Computer Science, Software Engineering, or related field
  
  • Experience may be substituted for degree.
• TS/SCI Clearance
• DoD 8140 (8570) IAT Level II Certification

Requirements Experience/Qualifications:

• Minimum 4 years of experience developing, deploying, and securing applications within DoD or federal environments.
• Proficiency in JavaScript / TypeScript using frameworks such as React, Angular, and Express.js.
• Understanding of REST API design, data serialization (JSON / YAML), and API documentation (OpenAPI / Swagger).
• Hands-on with Terraform and AWS GovCloud services (EC2, Lambda, API Gateway, S3, IAM).
• Knowledge of containerization technologies (Docker/podman)
• Experience with GitLab CI/CD and secure DevSecOps pipelines.
• Familiarity with OWASP Top 10, static / dynamic code analysis (SonarQube or equivalent), and secure coding principles.
• Experience with Agile development and collaboration using Atlassian tools (Jira, Confluence) and Git.

Preferred Experience/Qualifications:

• AWS certification at associate level.
• Experience deploying and managing Terraform modules for multi-environment AWS or hybrid architectures.
• Familiarity with Kubernetes, OpenShift, or container orchestration at scale.
• Experience developing and integrating secure REST APIs across distributed systems.
• Knowledge of database technologies such as PostgreSQL, DynamoDB, or MongoDB.
• Experience integrating messaging and event-driven services using Amazon SQS or Kafka.
• Experience building responsive web applications using React or Angular with secure API integration.
• Experience developing IaC automation and CI/CD pipelines with integrated security testing.
• Exposure to Zero Trust, DevSecOps governance, or cloud migration initiatives within DoD environments.

#DSA209

#LI-KE1