Role

This position is for a systems administrator that enjoys building hardware-based operational platforms using internal and external products to include Linux OS images, Kubernetes cluster deployment, and logging systems. As a software engineer, you will be responsible for deploying OS images to hardware, managing an RKE2 multi-node Kubernetes cluster, managing additional containers, network policies, and other Kubernetes Custom Resource Definitions to the cluster, and initial monitoring and maintenance of the cluster. As the systems administrator, on-site support is expected.

Responsibilities

• Participate and lead design and architecture of back-end systems
• Deploy and maintain a robust and high-quality platform, putting the user’s requirements first and always driving towards a working product on-time
• Limit and resource test the platform
• Facilitate delivery and deployment of the platform

Required Qualifications

• Must be able to obtain and maintain a TS/SCI security clearance (only US Citizens are eligible for security clearances).
• Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, or a related technical discipline. In the absence of one of the aforementioned degrees, this requirement can be met with four years of hands-on experience in a Software Engineering or similar full-time position.
• A strong desire to respond to and meet user needs, exemplified by listening, documenting, disseminating, and prioritizing user needs over "nice to haves."
• Willingness to ask questions and stay engaged with team members when tasks are unclear or blockers are encountered.
• Ability to identify necessary tasks, communicate those to the broader team for feedback, and then largely execute independently.
• Trustworthy and able to adapt when project requirements change.
• Able and willing to contribute to the design process for new software features and capabilities.
• Knowledge, expertise, and proficiency with one or more common, general purpose programming languages (Go, Python, C, Rust, JavaScript, etc.). Being language agnostic is a plus (i.e. picking the right tool for the job, not just picking one tool for all jobs).
• Able to set up and maintain one's own development system (e.g., Ubuntu VM) in a cloud-based platform, including personalized IDE settings, access keys, system package updates, etc.
• Familiar and comfortable working with containers, including creating, deploying, and debugging custom images with common tools (Docker, Podman, etc.).
• Familiarity with cloud-based computing resources (e.g., AWS, Azure).
• Knowledge of security concepts, networks, and system internals to use on a daily basis.
• Ability to work with and troubleshoot real hardware of varying types (network switches, servers, routers, hubs, etc.).
• Proficient in Linux-based development environments (e.g., Debian- or RedHat-based distributions).
• Proficient with version control software (e.g., Git) and repository hosting tools (e.g., GitLab).
• Willingness and ability to travel up to 15% of the year, including both travel that is local to the DC, Maryland, Virginia (DMV) area and travel to multiple sites in the United States.

Preferred Qualifications (in addition to the required qualifications)

• Current US TS/SCI security clearance
• 2 years of industry experience in a platform engineering, DevOps or similar role in the Cyber Operation Domain
• Experience communicating with customers and end-users

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.

Role Description: 

We are seeking an IT Engineer to join our team, based primarily out of our San Antonio, TX office. This role is first and foremost a hardware role, the primary owner of physical infrastructure at Defense Unicorns' San Antonio location, responsible for racking servers, configuring switching and network gear, and maintaining a growing lab environment that supports active defense programs. When not heads-down on hardware, this person is a contributor to day-to-day IT operations, handling helpdesk tickets, endpoint support, and IT projects alongside the broader IT OPS team. The ideal candidate thrives in a hands-on lab environment, has real experience standing up physical infrastructure, and can context-switch into IT OPS work without losing momentum. This is an onsite role; physical presence is the job.

Responsibilities: 

Hardware & Infrastructure (~70%)

• Install, configure, and maintain servers, rack-mount switches, and associated network infrastructure in the San Antonio office and lab environments
• Stand up and maintain virtualization environments on IT-owned bare-metal hardware
• Lead rack layout, cable management, patch panel termination, and physical infrastructure documentation
• Support UPS and PDU installation, configuration, and monitoring
• Configure and maintain network infrastructure including switches, access points, and security appliances
• Lead hardware procurement coordination, maintain physical and digital asset inventory, and support engineering and delivery teams with hardware staging needs
• Assist with edge and lab hardware as needed, including mini PCs, single-board computers, and portable networking gear
• Support physical security infrastructure as needed, including access control and related CMMC-adjacent hardware considerations

IT Operations (~30%)

• Provide Tier 1 and Tier 2 helpdesk support, triaging and resolving tickets or escalating as appropriate
• Administer MDM (Jamf) for device enrollment, policy enforcement, and compliance reporting
• Support endpoint hardware management (primarily macOS) alongside other IT team members, including imaging, configuration, deployment, and decommission
• Support user onboarding and offboarding workflows including access provisioning and equipment movement
• Manage access through Google Admin Console and related identity tools
• Collaborate with third-party vendors and internal stakeholders on SaaS tool rollouts, troubleshooting, and updates
• Contribute to IT projects, process improvements, and compliance initiatives aligned with NIST SP 800-171 and CMMC

Travel Expectations/Requirements: Primarily onsite in San Antonio; occasional travel to other Defense Unicorns locations (~20%)

The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. 

Minimum Experience and Qualifications

• 3+ years in an IT operations, systems administration, or infrastructure role
• Hands-on experience racking and configuring servers and network switches in a lab or data center environment
• Experience with virtualization platforms on IT-managed infrastructure (Proxmox, ESXi, or similar)
• Demonstrated homelab or lab environment experience, comfortable standing up and troubleshooting infrastructure from scratch
• Familiarity with structured cabling, patch panel termination, and physical infrastructure documentation
• Experience with layer 2/3 networking concepts (VLANs, switching, routing)
• Experience with change management processes and IT documentation practices
• Experience with helpdesk or trouble ticketing systems
• Familiarity with macOS endpoint management and MDM solutions (Jamf preferred)
• Experience with Google Admin Console or similar directory/identity management tools
• US citizenship required; must be eligible for CUI access
• Ability to work independently in an onsite environment and manage competing priorities without close supervision

Preferred Experience and Qualifications:

• Experience with enterprise rack-mount server configuration and out-of-band management (e.g., iDRAC, iLO, IPMI)
• Experience with managed switching and prosumer/enterprise network stacks (e.g., UniFi, Cisco, Ubiquiti, or similar)
• Experience in a defense contractor, government, or classified lab environment
• Familiarity with NIST SP 800-171, CMMC 2.0, or similar compliance frameworks
• Exposure to edge compute platforms (single-board computers, mini PCs, GPU workstations)
• Experience contributing to endpoint hardware programs in a shared-ownership model

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

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.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

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.

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.

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.

Position Overview

Woolpert is hiring a Comprehensive Planning Support GIS Analyst  to work on site at Lackland Air Force Base (AFB) in San Antonio, Texas. This is an on-site role with a schedule of 4 days working at the Air Force Civil Engineer Center (AFCEC) on Lackland AFB and 1 day working remotely.

The Planning Support Analyst will be part of a dynamic fast-paced team supporting United States Department of the Air Force (DAF) installations for the Air Force Civil Engineer Center (AFCEC) Installations Directorate (CI). Analyst will support installations worldwide, utilizing Esri ArcGIS desktop and enterprise solutions to meet AFCEC installation planning program geospatial requirements in coordination with organization leadership, planners, and engineers.

We are unable to provide visa sponsorship for this position.  Applicants must already possess work authorization in the country the job is located.

What You Will Do:

As a Comprehensive Planning Support Analyst at Woolpert, you will: 

• Create, update, and produce a variety of installation planning maps in support of Installation Planning Team (IPT) workshops conducted for approximately 15 installations per year
• Perform complex GIS data analysis, extraction (digitization), and geocoding processes
• Migrate or convert legacy GIS, CAD, non-spatial, hardcopy (paper maps), and tabular data to DAF geospatial standards
• Create and maintain DAF installation planning and civil engineering GIS data in an enterprise environment, managing versioned, multi-user geodatabases
• Review IPT workshop and final report GIS deliverables to ensure accuracy and consistency prior to installation distribution
• Review AFCEC Planning GIS 65% and 95% deliverables to ensure alignment with DAF mission partner and GEOMAP visualization requirements
• Ensure compliance with Air Force and Department of Defense geospatial data standards by performing quality assurance and control (QA/QC) processes on the following types of planning data and maps:
• Installation Master and Comprehensive Use plans (land use, zoning, planning districts, mission support areas, vicinity maps, future development, etc.)
• Operational Constraints, Natural and Cultural Resources, Environmental
• Transportation Networks, Airfield and Utility Distribution Systems
• Air Installation Compatible Use Zones (AICUZ), Airspace Clearance
• All series of Installation Development Plan (IDP) Tab Maps (series A through O)
• Perform regular and frequent data updates in coordination with AFCEC and installation analysts or government personnel

• Utilize the Agile framework to enable task visibility and project transparency to AFCEC client:

• Use Agile platform (Jira, Confluence) to record all processes and tasks, and manage all projects
• Maintain detailed continuity folders and Knowledge Base, documenting current installation planning-specific workflows, Standard Operating Procedures, and functional processes to ensure sustained and reliable operations
• Coordinate and execute GIS data submissions and requests to authorized stakeholders and mission partners
• Create and maintain installation and AF enterprise geospatial metadata
• Maintain data for archival storage, record keeping, and inventory of source data and maps

What You Will Bring:

• U.S. citizenship.
• Two (2) to four (4) years of geospatial experience
• Active Tier 1 Investigation (National Agency Check and Inquiries NACI), security clearance, or the ability to pass a Tier 1 Investigation
  • Willingness to undergo a pre-employment background check and drug screening
• Extensive knowledge of Esri ArcGIS software and capabilities:
  • Two (2) years of experience using ArcGIS Desktop (ArcMap) or ArcGIS Pro
  • Two (2) years of experience using Portal for ArcGIS or ArcGIS Online (AGOL)
• Two (2) years of experience in a role requiring:
  • Excellent problem-solving and consulting skills with emphasis on client and team member engagement
  • Proven experience providing excellent customer service
  • Strong technical proficiency using Microsoft Office products
  • Excellent written and verbal communication skills necessary for our dynamic working environment
  • Attention to detail and proven experience meeting data quality assurance and accuracy standards
  • Strong organizational, time management, and analytical skills
  • Ability to work independently, collaboratively as part of a team, and as a member of a large organization
  • Ability to offer constructive feedback and problem solving, as well as clear direction to support goals

The following experience is favored: 

• Experience with municipal, urban, regional, transportation, or AICUZ planning
• Experience with DAF or DoW (DoD) installation comprehensive planning
• Experience with the Spatial Data Standards for Facilities, Infrastructure, and Environment (SDSFIE) GIS data standard or other defined spatial data models
• Experience with the DAF GeoBase program
• Proficiency using ArcGIS Data Reviewer or ArcPro Attribute Rules extensions
• Experience with Agile methodologies, preferably using Atlassian software (Jira, Confluence)

• Experience with Service Desk or other customer request ticketing systems

• Enterprise GIS experience
• Experience with DoW (DoD) geospatial data and systems

Benefits You Will Love

Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:

• Freedom to Work program: Set your own schedule and location (as appropriate).
• Principal program: Earn the opportunity to become an owner of the firm.
• Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
• Career development: Explore a wide range of learning and growth opportunities within and across industries.
• Health, life, vision, and dental insurance: Cover all your medical bases.
• Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making.

Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models.

What you’ll do:

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
• Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments
• Support compliance-driven deployment practices and secure software supply chain requirements in defense environments
• Get hands-on with customers at the most forward-leaning places in the Department of War

What we are looking for:

• 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
• 5+ years of experience with Docker and Kubernetes in production environments
• 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams
• Practical experience deploying machine learning workloads on Kubernetes
• Experience managing clusters or workloads that use GPUs
• Strong understanding of Helm and Kubernetes deployment patterns
• Strong scripting or programming skills, preferably in Python
• Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows
• Strong troubleshooting, systems thinking, and communication skills
• Ability to work independently and collaboratively in a fast-moving environment
• Ability to obtain and maintain a Top Secret clearance
• Ability to obtain Security+ certification within the first 90 days of employment

Highly preferred:

• Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies
• Experience with secure and compliant deployment practices in regulated or government environments
• Experience with Kubernetes-based ML platforms such as Kubeflow
• Familiarity with service mesh technologies such as Istio
• Experience provisioning and debugging complex CI/CD systems
• Experience with infrastructure as code tools such as Terraform
• Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning
• Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge
• Background working with machine learning engineers on model training, evaluation, packaging, and release workflows
• Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system

What success looks like:

• You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production
• ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use
• Model deployments become more secure, observable, and supportable across real-world mission environments
• The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

• Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY
• May require up to 40% travel
  

Salary Range: $150,000.00 - $200,000.00

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making.

Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models.

What you’ll do:

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
• Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments
• Support compliance-driven deployment practices and secure software supply chain requirements in defense environments
• Get hands-on with customers at the most forward-leaning places in the Department of War

What we are looking for:

• 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
• 5+ years of experience with Docker and Kubernetes in production environments
• 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams
• Practical experience deploying machine learning workloads on Kubernetes
• Experience managing clusters or workloads that use GPUs
• Strong understanding of Helm and Kubernetes deployment patterns
• Strong scripting or programming skills, preferably in Python
• Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows
• Strong troubleshooting, systems thinking, and communication skills
• Ability to work independently and collaboratively in a fast-moving environment
• Ability to obtain and maintain a Top Secret clearance
• Ability to obtain Security+ certification within the first 90 days of employment

Highly preferred:

• Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies
• Experience with secure and compliant deployment practices in regulated or government environments
• Experience with Kubernetes-based ML platforms such as Kubeflow
• Familiarity with service mesh technologies such as Istio
• Experience provisioning and debugging complex CI/CD systems
• Experience with infrastructure as code tools such as Terraform
• Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning
• Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge
• Background working with machine learning engineers on model training, evaluation, packaging, and release workflows
• Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system

What success looks like:

• You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production
• ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use
• Model deployments become more secure, observable, and supportable across real-world mission environments
• The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

• Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY
• May require up to 40% travel
  

Salary Range: $150,000.00 - $200,000.00

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making.

Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models.

What you’ll do:

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
• Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments
• Support compliance-driven deployment practices and secure software supply chain requirements in defense environments
• Get hands-on with customers at the most forward-leaning places in the Department of War

What we are looking for:

• 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
• 5+ years of experience with Docker and Kubernetes in production environments
• 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams
• Practical experience deploying machine learning workloads on Kubernetes
• Experience managing clusters or workloads that use GPUs
• Strong understanding of Helm and Kubernetes deployment patterns
• Strong scripting or programming skills, preferably in Python
• Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows
• Strong troubleshooting, systems thinking, and communication skills
• Ability to work independently and collaboratively in a fast-moving environment
• Ability to obtain and maintain a Top Secret clearance
• Ability to obtain Security+ certification within the first 90 days of employment

Highly preferred:

• Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies
• Experience with secure and compliant deployment practices in regulated or government environments
• Experience with Kubernetes-based ML platforms such as Kubeflow
• Familiarity with service mesh technologies such as Istio
• Experience provisioning and debugging complex CI/CD systems
• Experience with infrastructure as code tools such as Terraform
• Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning
• Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge
• Background working with machine learning engineers on model training, evaluation, packaging, and release workflows
• Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system

What success looks like:

• You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production
• ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use
• Model deployments become more secure, observable, and supportable across real-world mission environments
• The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

• Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY
• May require up to 40% travel
  

Salary Range: $150,000.00 - $200,000.00

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Senior Information Assurance Engineer

Location: Denver, CO (Hybrid), San Antonio, TX (Hybrid), Brooklyn, NY (Hybrid), or Remote (US Based)

About the Role

As the Senior Information Assurance Engineer, you will focus on the technical execution of our cybersecurity compliance and resilience efforts.  You are an independent, self-sufficient expert who drives the Risk Management Framework (RMF) process forward without needing constant oversight.  You will work closely with the team and the RMF Lead to align on team priorities, technical guidance, and the strategic roadmap for sustaining our Authority to Operate (ATO).

Work Model: We prioritize candidates in the Denver, CO, San Antonio, TX, and Brooklyn, NY area, but are open to remote talent.

• Locals: 2 days/week onsite.
• Remote: Quarterly travel for team meetings.

What Success Looks Like:

• 30 Days: Review security architecture and identify critical paths for the upcoming expansions.  Familiarize yourself with the hybrid cloud/on-prem infrastructure, documentation, current workflows and begin analyzing system logs to understand the current baseline.
• 60 Days: Begin gathering and analyzing artifacts for compliance activities such as vulnerability and compliance scans.  Review and update STIG Checklists to ensure technical alignment.
• 90 Days: Assume responsibility for recurring continuous monitoring activities and the submission of related artifacts.  Proactively initiate and support A&A activities in coordination with the RMF Lead.  Begin to review and update system plans and technical documentation. 

What You’ll Do

• Execute and automate technical activities to obtain and maintain multiple Authorities to Operate (ATOs) for systems securing critical infrastructure.
• Define and scale monitoring by refining alerting thresholds and enhancing SIEM dashboards to improve real-time detection capabilities.
• Manage and remediate vulnerabilities by maintaining POA&Ms and implementing automated security patches across hybrid environments.
• Collaborate with Engineering teams to gather system artifacts and ensure security controls are integrated into the development lifecycle.
• Act as a technical liaison during engagements with the AO/AODR, providing risk mitigation guidance and technical context to support the RMF Lead.
• Provide technical expertise to evolve the security roadmap in alignment with customer requirements, company priorities, and new DoD standards.

What You Bring

Required Qualifications:

• Experience: 8+ years in DoD Cybersecurity/Information Assurance roles, with a track record of executing and authoring complex RMF packages to successful ATOs.  Ability to operate autonomously in ambiguous environments while maintaining strict alignment with team priorities.
• Technical Leadership: Expert-level understanding of eMASS and its workflows, NIST 800-53, and the ability to interpret DISA STIGs into technical requirements for developers. Hands-on experience with vulnerability scanning tools (e.g., ACAS/Nessus) and SIEM environments.
• Domain Expertise: Strong understanding of DoD Zero Trust requirements and hands-on experience maintaining security standards within automated CI/CD workflows and DevSecOps environments.
• Clearance: Must be a U.S. Citizen with an active (or ability to obtain) Secret Clearance.
• Compliance: Must be able to obtain a DoD NIPR account/CAC and possess or achieve DoD 8140/8570 IAT Level III (e.g., CISSP, CASP+, or CISM) within 6 months of hire.

Preferred Qualifications:

• Based in the Denver, CO, San Antonio, TX, or Brooklyn, NY area (Hybrid/Remote availability).
• Experience in a "Senior" IA or ISSO capacity for a non-traditional defense contractor or high-growth technology startup.
• Advanced proficiency in scripting (Python, Bash, or PowerShell) or using automation tools to streamline RMF activities.
• Experience with cloud-native security services (e.g., AWS Security Hub, GuardDuty, or Azure Monitor) within GovCloud or IL-4/5 environments.

Our Culture

At Simplesense, we value high-trust autonomy. We look for people who can navigate ambiguity and are driven by the mission.

• Safety & Innovation: You embed security and reliability practices into daily work to drive continuous improvement and mitigate risk.
• People & Communication: You invite vigorous debate and offer "kindly blunt" feedback, always maintaining empathy and assuming noble intent.
• Integrity & Ethics: You build trust by honoring commitments, acting ethically, and resolving conflict through direct, honest communication.
• Strategic Problem Solving: You focus on high-priority issues to create documented, and scalable solutions—avoiding shortcuts.
• Agility: You move quickly to fix small problems, learn from the past, and pivot transparently when the mission requires it.

Compensation and Benefits

Pay Range: $125,000- $155,000 per year. Compensation is determined based on experience, skill level, and location. We review ranges regularly to ensure market competitiveness.

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

At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.

We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
• Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
• Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
• Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
• Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.

Requirements

• 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 1+ years of experience in various industries
• Knowledge of cloud computing concepts in addition to enterprise solutions
• Remarkable presentation, interpersonal, and listening skills
• Experience in mobile development and familiarity with Game Engine development
• Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
• Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
• Able to work in a high-stress, action-packed, intense teamwork environments
• Ability to travel domestically or internationally up to 25-50%
• Bachelor's degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Basic understanding of artificial/machine learning concepts
• Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
• Experience incorporating real-time information stream with existing GIS data and IT infrastructure
• Experience with geodatabases and underlying DBMS technology
• Experience in and with 3D modeling software (Maya, Blender, Houdini)
• Master’s degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

#LI-AC1

Overview

At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.

We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
• Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
• Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
• Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
• Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.

Requirements

• 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 1+ years of experience in various industries
• Knowledge of cloud computing concepts in addition to enterprise solutions
• Remarkable presentation, interpersonal, and listening skills
• Experience in mobile development and familiarity with Game Engine development
• Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
• Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
• Able to work in a high-stress, action-packed, intense teamwork environments
• Ability to travel domestically or internationally up to 25-50%
• Bachelor's degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Basic understanding of artificial/machine learning concepts
• Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
• Experience incorporating real-time information stream with existing GIS data and IT infrastructure
• Experience with geodatabases and underlying DBMS technology
• Experience in and with 3D modeling software (Maya, Blender, Houdini)
• Master’s degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

#LI-AC1

Overview

At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.

We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
• Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
• Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
• Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
• Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.

Requirements

• 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 1+ years of experience in various industries
• Knowledge of cloud computing concepts in addition to enterprise solutions
• Remarkable presentation, interpersonal, and listening skills
• Experience in mobile development and familiarity with Game Engine development
• Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
• Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
• Able to work in a high-stress, action-packed, intense teamwork environments
• Ability to travel domestically or internationally up to 25-50%
• Bachelor's degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Basic understanding of artificial/machine learning concepts
• Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
• Experience incorporating real-time information stream with existing GIS data and IT infrastructure
• Experience with geodatabases and underlying DBMS technology
• Experience in and with 3D modeling software (Maya, Blender, Houdini)
• Master’s degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

#LI-AC1

Overview

At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.

We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
• Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
• Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
• Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
• Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.

Requirements

• 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 1+ years of experience in various industries
• Knowledge of cloud computing concepts in addition to enterprise solutions
• Remarkable presentation, interpersonal, and listening skills
• Experience in mobile development and familiarity with Game Engine development
• Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
• Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
• Able to work in a high-stress, action-packed, intense teamwork environments
• Ability to travel domestically or internationally up to 25-50%
• Bachelor's degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Basic understanding of artificial/machine learning concepts
• Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
• Experience incorporating real-time information stream with existing GIS data and IT infrastructure
• Experience with geodatabases and underlying DBMS technology
• Experience in and with 3D modeling software (Maya, Blender, Houdini)
• Master’s degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

#LI-AC1

Overview

At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.

We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
• Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
• Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
• Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
• Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.

Requirements

• 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 1+ years of experience in various industries
• Knowledge of cloud computing concepts in addition to enterprise solutions
• Remarkable presentation, interpersonal, and listening skills
• Experience in mobile development and familiarity with Game Engine development
• Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
• Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
• Able to work in a high-stress, action-packed, intense teamwork environments
• Ability to travel domestically or internationally up to 25-50%
• Bachelor's degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Basic understanding of artificial/machine learning concepts
• Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
• Experience incorporating real-time information stream with existing GIS data and IT infrastructure
• Experience with geodatabases and underlying DBMS technology
• Experience in and with 3D modeling software (Maya, Blender, Houdini)
• Master’s degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

#LI-AC1

Overview

At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.

We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
• Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
• Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
• Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
• Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.

Requirements

• 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 1+ years of experience in various industries
• Knowledge of cloud computing concepts in addition to enterprise solutions
• Remarkable presentation, interpersonal, and listening skills
• Experience in mobile development and familiarity with Game Engine development
• Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
• Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
• Able to work in a high-stress, action-packed, intense teamwork environments
• Ability to travel domestically or internationally up to 25-50%
• Bachelor's degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Basic understanding of artificial/machine learning concepts
• Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
• Experience incorporating real-time information stream with existing GIS data and IT infrastructure
• Experience with geodatabases and underlying DBMS technology
• Experience in and with 3D modeling software (Maya, Blender, Houdini)
• Master’s degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

#LI-AC1

Overview

At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.

We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
• Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
• Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
• Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
• Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.

Requirements

• 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 1+ years of experience in various industries
• Knowledge of cloud computing concepts in addition to enterprise solutions
• Remarkable presentation, interpersonal, and listening skills
• Experience in mobile development and familiarity with Game Engine development
• Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
• Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
• Able to work in a high-stress, action-packed, intense teamwork environments
• Ability to travel domestically or internationally up to 25-50%
• Bachelor's degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Basic understanding of artificial/machine learning concepts
• Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
• Experience incorporating real-time information stream with existing GIS data and IT infrastructure
• Experience with geodatabases and underlying DBMS technology
• Experience in and with 3D modeling software (Maya, Blender, Houdini)
• Master’s degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

#LI-AC1

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

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.

Role Description: 

We are seeking a talented and experienced Platform Engineer to join our team in a hybrid capacity in San Antonio, Texas. Possessing strong proficiency with Kubernetes, the ideal candidate will play a crucial role in the development and maintenance of our platform, demonstrating a strong understanding of system architecture, problem-solving skills, and the ability to guide junior engineers.

As a Platform Engineer within our organization, you will join a team of dedicated unicorns who are focused on advancing freedom and independence globally. Our teams work on various different technical baselines depending on specific engagements. We focus our Products on the Platform layer, but to deliver for our Heroes, we also work IaC automation, security, and implementation.

Responsibilities: 

You will help us automate and build a runtime Production Environment and serve as a link between the Applications, either custom development, COTS, or OSS, and that environment, advocating best practices and facilitating communication between the application teams and platform teams.

In this position, you will be expected to: 

• Validate Solutions/Implementations: Ensure that solutions and implementations align with the outlined tasks and business requirements. Conduct thorough validations to maintain the integrity and efficiency of the platform.
• Independently Problem Solve: Demonstrate the ability to identify and solve business problems independently. Develop small components to address specific challenges without relying on explicit architecture diagrams.
• Understand Medium-Level Tasking: Comprehend how medium-level tasks contribute to the achievement of overall goals. Collaborate with cross-functional teams to integrate various components into a cohesive and functional platform.
• Estimate Time and Effort: Provide accurate time and effort estimates for medium-sized tasks. Assist in project planning and resource allocation based on estimated timelines.
• Demonstrate Programming Language Proficiency: Possess familiarity with at least one programming language. Exhibit a basic understanding of when to use a programming language versus a shell for efficient task execution.
• Own the bridge between the Application Development team(s) and the Production Environment

Travel Expectations: 10%-25%

The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. 

Preferred Experience and Qualifications:

• Proven experience as a Platform Engineer or similar role, with a focus on system architecture and development.
• Demonstrated experience with cloud-native technologies such as Kubernetes, Google Cloud, and Docker.
• Familiarity with continuous delivery, distributed architectures, systems, everything-as-code, containerization, and cloud services.
• Proficiency in at least one programming language (e.g., Python, Go, Ansible) and a basic understanding of shell scripting.
• Proficient with YAML.
• Experienced in working on a team following an Agile framework in a remote environment.
• Strong problem-solving skills and the ability to work independently.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
• Experience with security automation and familiarity with API Security, Container Security, and Cloud Security.
• Familiar with architecture security design, monitoring, and performance instrumentation in a complex enterprise environment.
• Comfort with debugging systems and reading/writing code.
• Hold a security clearance/Eligible to apply for a security clearance.
• Possess a DoD 8570 IAT II certification.
• Experienced in Department of Defense work, specifically working on a production Authority to Operate (ATO'd) system.
• Knowledgeable about DevSecOps/DevOps and CI/CD theory.

Staff Platform Engineer, Connectivity

Location: Denver, CO (Hybrid), San Antonio, TX (Hybrid), Brooklyn, NY or Remote (US Based)

About the Role

As the Staff Platform Engineer, Connectivity, you will serve as the technical anchor for major Connectivity projects that enable secure, resilient access between customer OT environments and Simplesense’s cloud-hybrid services. You will define technical strategy across the Connectivity delivery system, architecture patterns, automation workflows, and operational workflows that allow the team to efficiently onboard and support customer environments. In this role, you will partner across engineering development and operations functions to translate product priorities into a cohesive technical plan, align implementation across teams, and raise the engineering bar for quality, standardization, and maintainability.

Work Model: We prioritize candidates in the Denver, CO, San Antonio, TX, and Brooklyn, NY area, but are open to remote talent.

Locals: 2 days/week onsite

Remote: Quarterly travel for team meetings

What Success Looks Like 

30 Days: Become familiar with existing Connectivity architectures,workflows, and patterns; build relationships across Connectivity, Platform, Data Insights, and field/operations stakeholders.
60 Days: Gain a clear understanding of the Connectivity architecture; identify opportunities for standardization and automation; contribute to the technical direction of a Connectivity project initiative.
90 Days: Act as the technical owner for a Connectivity initiative project; drive architectural decisions across engineering teams; mentor Senior and Engineer-level teammates through reviews, planning, and technical guidance.

What You’ll Do

• End-to-End Technical Ownership: Serve as the technical owner for Connectivity projects, responsible for translating product goals into technical strategy, architecture, execution guidance, and long-term maintainability.
• Architecture & Design Leadership: Lead the design of secure, scalable Connectivity architecture patterns spanning facility-edge systems, Linux-based platforms, network appliances, secure channels, validation mechanisms, and operational handoff requirements.
• Delivery System Standardization: Define and evolve the reusable automation patterns, configuration models, validation routines, and implementation standards that allow Connectivity solutions to be delivered repeatedly and with high confidence to customer environments.
• Network Reliability: Shape the network observability and resilience measures to ensure Connectivity services meet performance, uptime, and supportability expectations.
• Technical Leadership: Collaborate across capability teams and functions to align architecture, sequencing, interfaces, and technical tradeoffs; translate cross-functional constraints into execution plans that multiple engineers and teams can follow.
• Security by Design: Embed Zero-Trust security practices into connectivity solutions. Ensure compliance with critical infrastructure security standards.
• Force Multiplier & Mentor: Raise the team’s overall effectiveness through design reviews, code reviews, coaching, standards-setting, and unblocking work across Engineer and Senior Engineer levels.

What You Bring

Required Qualifications:

• Experience: 7+ years of experience building, designing, and operating infrastructure automation solutions in distributed environments.
• Domain Knowledge: Strong experience designing secure, scalable architectures for systems that span Linux platforms, network infrastructure, automation workflows, and operational support requirements.
• Networking Expertise: Strong expertise in networking fundamentals, Linux-based systems, secure connectivity patterns, infrastructure automation, and observability or validation mechanisms.
• Technical Strategy: Proven ability to operate at a Staff level by defining technical direction, navigating ambiguity, and leading cross-functional initiatives from early problem framing through delivery.
• Infrastructure Automation Skills: Proficiency in scripting and automation for infrastructure. Experience using scripting languages (Python, Bash, etc.) to deploy and manage network resources in a repeatable way.
• Leadership: Demonstrated success mentoring engineers, establishing technical standards, improving team execution, and raising engineering quality beyond direct individual output.

Travel: Ability to travel quarterly for Program Management Reviews and team collaboration.

Clearance Requirements: Must be a U.S. Citizen and able to obtain a DoD NIPR network account and Common Access Card (CAC) Must have, or be able to obtain, a Secret Clearance

Preferred Qualifications:

• Based in Denver, CO, San Antonio, TX, or Brooklyn, NY area
• Experience in DoD, Air Force, or Federal contractor environments
• Certifications such as CCNP/CCIE, AWS Advanced Networking, or similar
• Experience with OT/ICS environments or critical infrastructure systems
• Familiarity with network automation tools (ex. Ansible, Cisco DevNet, open-source routing tools)

Our Culture

At Simplesense, we value high-trust autonomy. We look for people who can navigate ambiguity and are driven by the mission.

Safety & Innovation: You embed security and reliability practices into daily work to drive continuous improvement and mitigate risk.

People & Communication: You invite vigorous debate and offer "kindly blunt" feedback, always maintaining empathy and assuming noble intent.

Integrity & Ethics: You build trust by honoring commitments, acting ethically, and resolving conflict through direct, honest communication.

Strategic Problem Solving: You focus on high-priority issues to create documented, scalable solutions—avoiding shortcuts.

Agility: You move quickly to fix small problems, learn from the past, and pivot transparently when the mission requires it.

Compensation and Benefits

Pay Range: $190k-$260k per year. Compensation is determined based on experience, skill level, and location. We review ranges regularly to ensure market competitiveness.

Xometry is seeking highly motivated Mechanical Engineers to act as customer-facing Technical Account Managers (TAMs). These TAMs will be embedded within our most strategic accounts, acting as an extension of their engineering teams. This role is a unique blend of customer engagement, technical expertise, and operational execution. TAMs will report into Operations but will work very closely with Sales to drive growth and ensure customer satisfaction.

This is a unique opportunity to join a dynamic and growing company at the forefront of digital manufacturing. If you are a highly motivated Mechanical Engineer with a passion for customer success and a desire to make a real impact this is the role for you.

Responsibilities:

Customer Integration:

• Become a trusted advisor and technical expert for assigned enterprise accounts
• Weekly onsite visits at customer and partner locations, building relationships and understanding their needs
• Collaborate closely with customer engineers on Design for Manufacturing (DFM) to optimize projects for Xometry's platform
• Proactively identify and address potential manufacturing challenges
• Stay informed about upcoming customer projects and initiatives to ensure alignment with Xometry's capabilities

Order Fulfillment and Quality:

• As customer projects are awarded to Xometry, ensure orders are directed to the most qualified manufacturers within our network
• Conduct monthly on-site audits of manufacturing partners to ensure they meet Xometry's quality standards and customer specifications
• Manage projects to successful completion, overseeing production, and ensuring on-time delivery
• Handle critical communications, order changes, and escalations related to customer orders
• Monitor customer-specific dashboards to track order progress, delivery metrics, and quality performance

Sales and Account Growth:

• Partner with Enterprise Sales Executives to drive account growth and retention
• Identify opportunities for expanding Xometry's services within existing accounts
• Provide technical expertise and support during the sales process
• Gather customer insights and feedback to inform sales strategies

Qualifications:

• Bachelor's degree in Mechanical Engineering or a closely related field such Aerospace Engineering, Product Design/Development, or Industrial Engineering is required
• 7+ years of experience in manufacturing, product development, and project management
• Experience in the aerospace industry is highly preferred
• Strong understanding of manufacturing processes and DFM principles, particularly as they apply to CNC applications
• Experience in CNC Machining, Tube Bending, Composites, or 3D printing is preferred
• Proficiency in modelling and drafting software such as Solidworks
• Excellent communication, interpersonal, and problem-solving skills
• Experience with CRM systems such as Salesforce
• Proficiency in Google Suite and Microsoft Office Suite
• Ability to travel to customer and partner sites up to 50%, travel could be short notice and range from short day trips to multi-day drips

#LI-Remote