Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are looking for a Mission Software Engineering Manager to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.  

You will:

• Recruit a high-performing engineering team. 
• Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. 
• Collaborating with cross-functional teams to define, design, and execute strategic roadmap.
• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to ~25% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• 5+ years of full-time engineering experience, post-graduation
• 2+ years of prior engineering management or equivalent experience and has managed an engineering team.
• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.

• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Understand unique DoD and USG constraints when it comes to technology

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:

• Create multi-layered guardrails around agents
• Optimize data retrieval for agents
• Orchestrate fleets of asynchronous agents
• Automatically alerts users to deviations in data
• Illustrating how an agent reached a decision

As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders.

You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency.

• Define technical strategy for agentic guardrails, explainability, and fleet orchestration.
• Ensure system reliability and performance across multiple security classifications and network types.
• Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance.
• Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members.
• Influence the long-term product strategy and technical roadmap for the Federal business unit.
• Consult on the architecture of AI-powered solutions for large-scale federal contracts.

Ideally you will have: 

• Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing.

You will:

• Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.
• Own services or systems and define their long-term health goals, while also improving the health of surrounding components
• Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.
• You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings.

Must have:

• At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance

Ideally you'd have: 

• Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus.
• Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. 
• Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
• Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. 

Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You’ll play a critical role in delivering technical solutions—all while helping your team grow and execute.

You’ll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You’ll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs.

Day to day:

• 50% Field engineering - customer engagement, technical development and delivery 
• 50% Managing a growing team

You will:

• Recruit a high-performing engineering team. 
• Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects. 
• Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs.
• Work directly with customers to understand their problems and translate those into custom workflows within Scale’s platform.
• Be open to ~25% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• 5+ years of full-time engineering experience, post-graduation.
• 2+ years of prior engineering management or equivalent experience and previously managed an engineering team.
• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. 
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus.
• Linux experience: Understanding of shell scripting, operating systems, etc.
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) is a plus.
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
• Understand unique DoD and USG constraints when it comes to technology.

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments.

You will:

• Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.
• Own services or systems and define their long-term health goals, while also improving the health of surrounding components.
• Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings.

Must have:

• At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance

Ideally you'd have:

• Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus.
• Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. 
• Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
• Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.

Senior Machine Learning Engineer - Model Evaluations, Public Sector

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

You will:

• Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.
• Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.
• Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.
• Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes.
• Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems.
• Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.
• Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets.
• Comfortable with light travel (approximately 10%) for customer interaction and team needs.

This role will require an active security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings.
• Strong programming skills in Python; experience with TensorFlow or PyTorch.
• Background in algorithms, data structures, and object-oriented programming.
• Experience with LLM pipelines, simulation environments, or automated evaluation systems.
• Ability to convert research insights into measurable evaluation criteria.

Nice to haves:

• Graduate degree in CS, ML, or AI.
• Cloud experience (AWS, GCP) and model deployment experience.
• Experience with LLM evaluation, CV robustness, or RL validation.
• Knowledge of interpretability, adversarial robustness, or AI safety frameworks.
• Familiarity with ML evaluation frameworks and agentic model design.
• Experience in regulated, classified, or mission-critical ML domains.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:

• Create multi-layered guardrails around agents
• Optimize data retrieval for agents
• Orchestrate fleets of asynchronous agents
• Automatically alerts users to deviations in data
• Illustrating how an agent reached a decision

As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders.

You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers.

• Manage the full lifecycle of feature development from requirement definition to deployment on classified networks.
• Direct the orchestration of asynchronous agent fleets to meet mission requirements.
• Lead customer engagements to translate mission needs into technical requirements.
• Own the communication with stakeholders to ensure implementation meets defined acceptance criteria.
• Conduct technical reviews and identify risks within machine learning infrastructure and model serving.
• Drive the platform roadmap by providing technical specifications for Federal product offerings.

Ideally you will have: 

• Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

You are: 

The work: 

• Develop and maintain DevOps pipelines, automated deployments, and workflow orchestration.
• Build Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates.
• Implement Configuration as Code with Ansible and develop automation scripts using PowerShell or Bash.
• Manage containerized environments with Docker, Kubernetes, AKS, Podman, or Helm.
• Create and maintain virtual images using Docker or Packer.
• Support CI/CD pipelines and develop automated test scripts using pytest, unittest, Selenium, or Terratest.
• Participate in technical design discussions and contribute throughout the full development lifecycle.

Here's what you need:

Bonus points if you have:

Eligibility Requirements:

• US Citizenship required (No Dual Citizenship, No Green Card Holder)
• Must have an Active Secret Clearance 

You must live local to St. Louis, MO (preferred) or willing to travel to St. Louis. 

#clearancejobs

#LI-Onsite #LI-Defense  #LI-modernengineering 

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first 

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

ABOUT THE ROLE:

We are looking for a seasoned Senior DevOps Engineer to join our team and take ownership of our CI/CD ecosystem, cloud infrastructure automation, and developer platform. This is a journey-level, fully qualified position where you will independently design and drive solutions across complex, diverse projects — bringing both technical depth and collaborative leadership to everything you do.

You will work at the intersection of infrastructure engineering, AI-driven tooling, and modern cloud operations, partnering closely with development and TechOps teams to accelerate delivery cycles and ensure the reliability, security, and scalability of our systems.

Key Responsibilities:

• Design, implement, and maintain robust, scalable CI/CD pipelines across multiple environments, applying industry best practices to optimize delivery speed and system reliability.
• Automate the provisioning and lifecycle management of cloud resources (VMs, EC2, and more) using Infrastructure as Code — with Terraform as the primary tool — ensuring consistent, repeatable, and auditable deployments.
• Manage and optimize cloud networking configurations, supporting complex developer workflows and infrastructure scalability requirements.
• Integrate AI and large language model (LLM) capabilities into DevOps tooling and developer workflows, including leveraging Model Context Protocol (MCP) for intelligent automation and context-aware pipeline tooling.
• Collaborate with engineering and operations teams to identify bottlenecks, reduce toil, and continuously improve the release process.
• Apply security best practices to deployment pipelines and cloud infrastructure, proactively identifying and remediating vulnerabilities.
• Monitor, observe, and optimize infrastructure performance, taking initiative to resolve complex issues before they impact customers.
• Evaluate emerging tools and technologies — particularly in the AI/LLM space — and provide guidance on how to incorporate them effectively into organization workflows.
• Communicate technical strategies and recommendations clearly to senior internal and external stakeholders, adapting your approach to diverse audiences and often driving alignment on difficult decisions.

Qualifications:

• 5+ years of related DevOps/infrastructure engineering experience (or 3 years with a Master’s degree or equivalent experience).
• Deep, hands-on expertise with Terraform for infrastructure as code — this is a must-have.
• Hands-on, production-level experience building and deploying AI/LLM-integrated systems — this is a must-have. You have worked directly with large language model APIs, designed AI-assisted workflows, and shipped real tooling powered by LLMs in an engineering or DevOps context.
• Hands-on, production-level experience with Model Context Protocol (MCP) — this is a must-have. You have implemented MCP-based integrations to build intelligent, context-aware developer tools, automation pipelines, or agent workflows, not just read about it.
• Strong command of CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar).
• Experience provisioning and managing cloud infrastructure on AWS, GCP, or Azure (EC2, VMs, VPCs, IAM, etc.).
• Solid understanding of cloud networking concepts (VPCs, subnets, security groups, load balancers, DNS).
• Demonstrated ability to work independently, resolve ambiguous and complex problems, and deliver high-quality solutions with minimal supervision.

Preferred:

• Experience with Kubernetes, Helm, or container orchestration platforms.
• Familiarity with GitOps workflows (e.g., ArgoCD, Flux).
• Scripting proficiency in Python, Bash, or Go.
• Knowledge of observability tooling (Datadog, Prometheus/Grafana, OpenTelemetry).
• Experience building internal developer platforms (IDPs).

US Pay Range:

The US National annual base salary range for this full-time position is $131,500-$154,700 + benefits + 401(k) match + equity. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. [Certain roles are eligible to earn sales commission, depending on the terms of the applicable plan.] The range displayed is the minimum and maximum target base salary and is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process.

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.

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

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What we offer

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

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

Position Summary

We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this role, you will collaborate closely with data scientists, software engineers, and product teams to translate research models into reliable, scalable, and high-impact applications. You will be deeply involved in the end-to-end ML lifecycle—from data ingestion and feature engineering to deployment, monitoring, and continuous improvement—playing a critical part in shaping our machine learning platform and capabilities.

Primary Responsibilities

• Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
• Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
• Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
• Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
• Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
• Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
• Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
• Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.

Qualifications

• Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
• Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines, testing automation, and version control using Git.
• Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML) is preferred.
• Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
• Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.

This is an exempt position. The annualized base pay range for this role is expected to be between $140,000-$180,000.  Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

HERE'S WHAT YOU'LL NEED

• Bachelor or Master's degree in Engineering required by hire date. Bachelor or Master's degree in Engineering from an ABET accredited program preferred.
• Knowledge and ability to apply principles and theories of advanced heat transfer, solar energy, and advanced fluid dynamics in the design of HVAC systems.
• Related student internship work experience preferred.
• EIT, LEED accreditation preferred.
• Must have strong communication, teamwork, organizational skills and the ability to handle multiple projects.    
• Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or Trane 3D Plus) preferred.

HERE'S WHAT YOU'LL DO

HERE'S WHAT YOU'LL NEED

• Minimum of 6 years of related experience required.
• Current PE in the United States required.
• LEED accreditation preferred.
• Must be an independent thinker, analytical, contributes to process development
• Must possess working knowledge and experience, while still acquiring higher level knowledge.
• Excellent verbal and written communication skills.
• Able to effectively handle multiple projects.
• Experience in computer applications for engineering design programs (i.e. Revit, AGI32, Visual, SKM Power Tools) required.

HERE'S WHAT YOU'LL NEED

• Bachelor or Master's degree in Engineering required by hire date. Bachelor or Master's degree in Engineering from an ABET accredited program preferred.
• Knowledge and ability to apply principles and theories of advanced heat transfer, solar energy, and advanced fluid dynamics in the design of plumbing, fire protection and HVAC systems.
• Related student internship work experience preferred.
• EIT, LEED accreditation preferred.
• Must have strong communication, teamwork, organizational skills and the ability to handle multiple projects.    
• Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or Trane 3D Plus) preferred.

HERE'S WHAT YOU'LL DO

HERE'S WHAT YOU'LL NEED

• Bachelor or Master's degree in Engineering required. Bachelor or Master's degree in Engineering from an ABET accredited program preferred.
• Minimum of 6 years of related experience required.
• EIT/FE preferred.
• LEED accreditation preferred.
• Must be an independent thinker, analytical, contributes to process development
• Must possess working knowledge and experience, while still acquiring higher level knowledge.
• Excellent verbal and written communication skills.
• Able to effectively handle multiple projects.
• Experience in computer applications for engineering design programs (i.e. Revit, AGI32, Visual, SKM Power Tools) required.

HERE'S WHAT YOU'LL NEED

• Bachelor or Master's degree in Engineering required. Bachelor or Master's degree in Engineering from an ABET accredited program preferred.
• Minimum of 6 years of related experience required.
• Current PE in the United States preferred.
• LEED accreditation preferred.
• Must possess a working knowledge and experience, while still acquiring higher level knowledge.
• Excellent verbal and written communication skills.
• Able to effectively handle multiple projects.
• Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or Trane 3D Plus) required.

HERE'S WHAT YOU'LL NEED

• Minimum of 10 years of related experience required.
• Current PE in the United States required.
• LEED accreditation preferred.
• Advanced knowledge of electrical engineering.
• Ability to serve in QAQC process and as an independent reviewer.
• Excellent verbal and written communication skills.
• Strong ability to interface effectively with clients and members of the design team.
• Able to effectively handle multiple projects.
• Experience in computer applications for engineering design programs (i.e. Revit, AGI32, Visual, SKM Power Tools) required.

• Perform and direct complex design of ductwork, piping and equipment selection for HVAC systems for large scale size buildings. Able to work independently in all Mechanical disciplines with no oversight or guidance. As necessary assist with Plumbing and Fire Protection Designs.
• Oversee, guide, mentor and provide technical leadership to designers and engineering team.
• Direct the work of less experienced staff including the development and presentation of annual performance reviews.
• May serve in the QAQC process and an independent reviewer.
• Interface effectively with clients and members of the design team.
• Oversee the use of engineering complexities related to the use Energy Model software.
• Prepare Revit/BIM modeling of construction drawings of HVAC systems from schematic design to construction administration phases including layout, sketches and detail drawings as required. As necessary perform Revit/BIM modeling for plumbing and fire protection systems.
• Specify mechanical equipment such as boilers, chillers, and air handling units.
• Review and accept selective shop drawings for compliance of specifications and contract documents.
• Interface effectively with clients and members of the project team and attend Owner, Architect, Construction Administration (OAC) meetings with an understanding and focus on the project budget.
• Participate or lead value engineering sessions with Architectural/Engineering team.
• Recommend improvements with reference standards and processes to improve quality, coordination, and to streamline production efforts.
• Conduct staff development activities including work planning, budget development, scheduling in conjunction with the Project Manager.
• Respond to RFI’s and review of change orders in the preparation of construction documents.
• Conduct job site visits to verify existing conditions and observe construction progress.  Attend and participate in construction meetings. Site visits frequently require a physical walk-through of site.
• Represents company in project activities; directs activities of project team members; represents company in business development and marketing activities. May serve on internal and/or professional committees.
• Perform other duties as assigned.

HERE'S WHAT YOU'LL NEED

• Minimum of 8 years of related experience required.
• Current PE in the United States required.
• LEED accreditation preferred.
• Strong knowledge of Life Safety Codes
• Ability to work independently in all mechanical disciplines with no oversight or guidance.
• Excellent verbal and written communication skills.
• Must be a critical thinker.
• Must be highly analytical.
• Must have the ability to engage effectively with clients.
• Must be a fully qualified professional able to perform work with a high degree of latitude, with some ambiguity in work.    
• Able to effectively handle multiple projects.
• Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or Trane 3D Plus) required.

• Perform and direct complex design of ductwork, piping and equipment selection for HVAC systems for large scale size buildings. Able to work independently in all Mechanical disciplines with no oversight or guidance. As necessary assist with Plumbing and Fire Protection Designs.
• Oversee, guide, mentor and provide technical leadership to designers and engineering team.
• Direct the work of less experienced staff including the development and presentation of annual performance reviews.
• May serve in the QAQC process and an independent reviewer.
• Interface effectively with clients and members of the design team.
• Oversee the use of engineering complexities related to the use Energy Model software.
• Prepare Revit/BIM modeling of construction drawings of HVAC systems from schematic design to construction administration phases including layout, sketches and detail drawings as required. As necessary perform Revit/BIM modeling for plumbing and fire protection systems.
• Specify mechanical equipment such as boilers, chillers, and air handling units.
• Review and accept selective shop drawings for compliance of specifications and contract documents.
• Interface effectively with clients and members of the project team and attend Owner, Architect, Construction Administration (OAC) meetings with an understanding and focus on the project budget.
• Participate or lead value engineering sessions with Architectural/Engineering team.
• Recommend improvements with reference standards and processes to improve quality, coordination, and to streamline production efforts.
• Conduct staff development activities including work planning, budget development, scheduling in conjunction with the Project Manager.
• Respond to RFI’s and review of change orders in the preparation of construction documents.
• Conduct job site visits to verify existing conditions and observe construction progress.  Attend and participate in construction meetings. Site visits frequently require a physical walk-through of site.
• Represents company in project activities; directs activities of project team members; represents company in business development and marketing activities. May serve on internal and/or professional committees.
• Perform other duties as assigned.

HERE'S WHAT YOU'LL NEED

• Bachelor or Master's degree in Engineering required. Bachelor or Master's degree in Engineering from an ABET accredited program preferred.
• Minimum of 8 years of related experience required.
• Current PE in the United States preferred.
• LEED accreditation preferred.
• Strong knowledge of Life Safety Codes
• Ability to work independently in all mechanical disciplines with no oversight or guidance.
• Excellent verbal and written communication skills.
• Must be a critical thinker.
• Must be highly analytical.
• Must have the ability to engage effectively with clients.
• Must be a fully qualified professional able to perform work with a high degree of latitude, with some ambiguity in work.    
• Able to effectively handle multiple projects.
• Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or Trane 3D Plus) required.

• Perform designs of ductwork, piping, equipment selection for HVAC systems for building design, independently for smaller/less technical projects; under the supervision of a professional engineer for complex projects. As necessary assist with Plumbing and Fire Protection Designs.
• Calculate heating and cooling loads, layout and design ductwork and piping using energy modeling software.
• Prepare Revit/BIM modeling of construction drawings of HVAC systems from schematic design to construction administration phases including layout, sketches and detail drawings as required. As necessary perform Revit/BIM modeling for plumbing and fire protection systems.
• Edit specifications relating to existing or new projects.
• Specify mechanical equipment such as boilers, chillers, and air handling units.
• Review shop drawings for compliance of specifications and contract documents.
• Interface effectively with clients and members of the project team by attending Owner, Architect, Construction Administration (OAC) meetings in conjunction with project budget.
• May independently research as need arises and respond to emergent issues.
• Assists in gathering information to respond to RFI’s and review of change orders in the preparation of construction documents.
• Perform job site visits to verify existing conditions and observe construction progress. Site visits frequently require a physical walk-through of site.
• May direct activities of staff with less experience.
• Perform other duties as assigned.

HERE'S WHAT YOU WILL NEED

HERE'S WHAT YOU'LL NEED

• Bachelor or Master's degree in Engineering required. Bachelor or Master's degree in Engineering from an ABET accredited program preferred.
• Minimum of 6 years of related experience required.
• Current PE in the United States preferred.
• LEED accreditation preferred.
• Must possess a working knowledge and experience, while still acquiring higher level knowledge.
• Excellent verbal and written communication skills.
• Able to effectively handle multiple projects.
• Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or Trane 3D Plus) required.

Overview: AFS is seeking a highly skilled and hands-on Principal Cyber Defense Engineer to join our team. This role will focus on leading technical efforts in cybersecurity, working closely with federal law enforcement clients to ensure their cybersecurity systems are robust and effective. We are growing in this space and are looking for technical leaders to drive this work forward. 

Key Responsibilities: 

• Lead the design, implementation, and management of advanced cybersecurity systems. 

• Perform hands-on technical work, including system configuration, integration, and optimization. 

• Engage in incident response activities, including threat hunting, forensic analysis, and remediation efforts. 

• Develop and implement cybersecurity strategies and initiatives to enhance system security. 

• Conduct vulnerability assessments and penetration testing to identify and mitigate security risks. 

• Collaborate with cross-functional technical teams to develop and deploy customized cybersecurity solutions. 

• Stay updated on the latest cybersecurity trends, threats, and technologies, and apply this knowledge to improve security posture. 

• Provide technical expertise and guidance on cybersecurity best practices, policies, and frameworks. 

• Ensure compliance with relevant federal regulations and standards. 

• Prepare and present technical reports, documentation, and analysis to internal stakeholders and clients. 

Required Experience: 

• Minimum of 5 years of experience in a cybersecurity role, with a strong focus on hands-on technical work. 

• Experience in managing technical teams 

• Hands-on design and engineering experience with three or more cybersecurity tools and technologies such as (but not limited to): firewall security configuration and best practices, intrusion detection/prevention systems (IDS/IPS), endpoint protection, Security Information and Event Management (SIEM), Security Orchestration, Automation, and Response (SOAR), network security monitoring, Network micro-segmentation, Secure Access Service Edge(SASE), Cloud Native Application Protection Platform (CNAPP) 

• Proficiency in scripting and automation using languages such as Python, PowerShell, or Bash. 

• Hands-on experience with forensic tools and techniques for incident response and investigation. 

• Active Secret Clearance. 

Preferred Qualifications: 

• Bachelor's degree in Cybersecurity, Information Technology, or related field. Advanced degree preferred. 

• Relevant certifications such as CISSP, SANS Defensive Certifications, CISM, OSCP, or equivalent. 

The work:

Azure Data Engineer with experience integrating data from both internal and external data sources to build a data processing system. Creates new pipelines and builds reusable components at scale to support reporting & analytics data products. Writes complex queries to transform raw data sources into accessible models by coding. Cleans, prepares, transforms, and optimizes data at scale for integration and consumption. Implements data management projects and restructures current web architecture. Solves complex data issues and performs root cause analysis to proactively resolve product issues. Owns the data pipeline and supports systems failures.

Here’s what you need:

• Active Secret security clearance required
• 3+ years of hands-on experience working with Azure cloud native technologies
• 2+ years experience with developing ETL pipelines in Azure using tools such as Azure Data factory, Event hubs, Event grid, Azure functions
• 2+ years developing data engineering pipeline with Databricks or Spark
• 1+ year working with technologies such as CosmoDB, AzureSQL, Redis, Synapse 
• 1+ year working with orchestration tool such as Airflow or Oozie
• Strong programming foundation with python or java
• Strong experience with SQL
• Experience working in Agile teams
• Experience working with streaming and batching solutions
• Experience working with csv, json, xml and complex structures
• Familiar with devOps process, CI/CD, security, coding standard and SDLC cycle

Preferred: 

• Experience with migrations to major cloud
• Experience working with databases, compute, storage and networks on one or more of the following platforms: Azure, AWS, Google Cloud Platform, VMware or Oracle Cloud Platform.

"You must live local to St. Louis, MO OR be willing to travel to St. Louis every week Monday-Thursday"

#clearancejob

Ideal Candidate Profile

The ideal candidate is a modern IT leader with a strong customer‑centric mindset who drives service‑delivery excellence and operational stability. This role requires experience implementing and supporting ServiceNow in large, global environments, including during mergers and acquisitions. You will standardize processes, strengthen platform performance, and continuously improve the employee experience across the organization.

Position Summary

Acuity is seeking a seasoned ServiceNow Systems Engineer and Subject Matter Expert to serve as the primary technical lead during a period of transition. This role is responsible for performing a technical audit of the current environment, stabilizing the platform, and maintaining ServiceNow health while a new support structure is established.

You will lead platform administration, upgrades, integrations, and strategic decommissioning efforts as processes transition to a new ServiceNow instance. The Senior ServiceNow Administrator will manage, optimize, and extend the ServiceNow platform to support critical IT and business workflows, ensuring stability, security, and compliance within a regulated financial services environment.

This role requires deep expertise in ServiceNow administration and development, strong knowledge of ITSM and CMDB best practices, and the ability to collaborate effectively across technical and business teams while executing against a defined roadmap and product backlog.

This is a hybrid role with 3 days per week onsite in our St. Louis office.

Key Responsibilities

Platform Stability & Administration

• Serve as the primary technical lead, working closely with the platform owner and lead developer as the new team is formed
• Perform comprehensive environment health checks and technical discovery to understand existing configurations and customizations
• Manage day‑to‑day ServiceNow administration, including users, groups, roles, and security ACLs
• Troubleshoot and resolve complex platform and integration issues
• Manage upgrades, patches, cloning, and release validation across environments

Module & Capability Management

• Support and maintain core ServiceNow modules, including ITSM, CMDB, ITAM, ITOM, and SecOps
• Ensure CMDB integrity through reconciliation rules, discovery, service mapping, and governance aligned to ITIL v4 and CSDM
• Manage and troubleshoot REST/SOAP integrations, IntegrationHub workflows, and MID Servers
• Develop and maintain integrations with enterprise systems such as Microsoft Intune, Azure, and other SaaS platforms

Architecture, Governance & Continuous Improvement

• Act as lead ServiceNow technical architect, defining current‑state and target‑state architecture
• Own platform governance, security compliance, and standards enforcement
• Identify performance bottlenecks and implement remediation strategies
• Collect and analyze metrics to track platform usage, workflow efficiency, and operational health
• Maintain technical documentation covering architecture, data governance, and system design

Collaboration & Delivery

• Work within Agile methodologies to support design, development, testing, deployment, and post‑deployment support
• Partner with ITSM, infrastructure, application, asset, and security teams to support impact analysis and root cause analysis
• Mentor ServiceNow and CMDB resources and contribute to roadmap planning

Required Qualifications

• ServiceNow Certified System Administrator (CSA) required; CAD or CIS certifications preferred
• 8+ years of enterprise ServiceNow administration experience
• Strong understanding of ITSM processes and best practices
• Proven ability to work independently in complex environments
• Strong forensic troubleshooting skills, including reading existing JavaScript, GlideRecord, Business Rules, and Script Includes
• Experience with CMDB, Discovery, Service Mapping, and data governance
• Proven experience with ITSM, CMDB, ITAM, ITOM, SPM, and SecOps
• Integration experience using IntegrationHub, REST APIs, SOAP, and MID Servers
• Proficiency in JavaScript, HTML, CSS, and ServiceNow configuration tools
• Ability to document architecture, data models, and technical designs

Technical Skills

Required

• Enterprise ServiceNow administration and CMDB ownership
• CSDM and ITIL v4 alignment
• Integration workflows, APIs, MID Servers, and ETL concepts
• ServiceNow Flow Designer, Business Rules, Script Includes, Scheduled Jobs
• Strong understanding of infrastructure components (on‑prem, cloud, containers)

Preferred

• Additional ServiceNow certifications (ITOM, Discovery, CMDB, IntegrationHub)
• ITIL v4 Foundation
• Scripting experience (JavaScript, PowerShell, Python)

Soft Skills

• Strong analytical and problem‑solving abilities
• Excellent written and verbal communication skills
• Ability to collaborate with senior leadership and cross‑functional teams
• Strong organizational and project management skills
• High attention to detail and sound judgment under pressure

Preferred Experience

• ITSM, ITAM, ITOM, and CMDB implementations
• Reporting and dashboard development for operational insights
• ServiceNow update sets, migrations, and performance tuning
• Agile delivery methodologies (Scrum or Kanban)

#LI-KJ2

This position is an exempt position. The annualized base pay range for this role is expected to be between $100,000- $125,000 base salary compensation range.  Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education. 

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.

#LI-DP1

#LI-DP1

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

In this position, you will build software leveraging Esri's products and APIs to build core backend services that solve complex problems at a global scale. This is a unique opportunity to grow your technical skills while contributing to projects that matter. You'll work alongside engineers and mentors in a collaborative, cross-functional environment that values learning, innovation, and purpose. From building intuitive AI web interfaces to writing Python for geoprocessing tools and AI agents, you'll be exposed to the full development lifecycle and cutting-edge GIS solutions. 

This team supports Defense and Intel clients. You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference in communities around the world. You will be part of a team that influences lasting contributions for communities with the web and mobile applications you create.

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.

Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position. 

Responsibilities

• Build backend services that power geospatial processing, automation, and user-facing capabilities
• Develop APIs, proxies, and integration services using Node.js and Python
• Create and maintain backend tooling that extends ArcGIS Enterprise in containerized environments
• Develop and maintain geoprocessing services, automation scripts, and operational workflows
• Build connectors and ingestion pipelines across diverse enterprise data sources
• Support deployments across cloud-native and on-prem environments
• Improve reliability and performance through API design, testing, monitoring, and observability
• Collaborate with platform, DevOps, and GIS teams to translate requirements into production solutions

Requirements

• 2+ years of professional backend software engineering experience
• Professional experience developing backend services using Python, JavaScript/Node,js and Java
• Experience designing and building REST APIs and service-based architectures
• Experience extending or integrating with ArcGIS Enterprise or similar enterprise geospatial platforms
• Familiarity with geoprocessing workflows, proxies and middleware services and automation of GIS or data processing tasks
• Experience working in containerized environments (Docker, Kubernetes, or similar)
• Solid fundamentals in API design, software/system design, and testing and debugging distributed services
• Strong problem-solving, communication, and collaboration skills
• US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
• Bachelor's degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or STEM related field

Recommended Qualifications

• Master's degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or Stem related field
• Esri certification
• CompTIA Security + certification
• Experience with containerization technologies such as Docker and Kubernetes
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Experience with monitoring, logging, and observability tools
• Exposure to DevSecOps practices and secure development pipelines
• Experience with ArcGIS Enterprise SDKs, automation frameworks, or platform extensions
• Experience building services for geospatial analysis, data pipelines, or map services
• Familiarity with enterprise authentication, proxies, and secure service architectures
• Experience with relational and spatial databases (PostgreSQL,PostGIS, SQL Server, and more)
• Exposure to event-driven architecture, batch processing, or distributed data workflows

#LI-SS2

#LI-Onsite

Overview

In this position, you will build software leveraging Esri's products and APIs to build core backend services that solve complex problems at a global scale. This is a unique opportunity to grow your technical skills while contributing to projects that matter. You'll work alongside engineers and mentors in a collaborative, cross-functional environment that values learning, innovation, and purpose. From building intuitive AI web interfaces to writing Python for geoprocessing tools and AI agents, you'll be exposed to the full development lifecycle and cutting-edge GIS solutions. 

This team supports Defense and Intel clients. You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference in communities around the world. You will be part of a team that influences lasting contributions for communities with the web and mobile applications you create.

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.

Esri has a Relocation Assistance Program and can provide support with relocating to the St. Louis, MO area for this position. 

Responsibilities

• Build backend services that power geospatial processing, automation, and user-facing capabilities
• Develop APIs, proxies, and integration services using Node.js and Python
• Create and maintain backend tooling that extends ArcGIS Enterprise in containerized environments
• Develop and maintain geoprocessing services, automation scripts, and operational workflows
• Build connectors and ingestion pipelines across diverse enterprise data sources
• Support deployments across cloud-native and on-prem environments
• Improve reliability and performance through API design, testing, monitoring, and observability
• Collaborate with platform, DevOps, and GIS teams to translate requirements into production solutions

Requirements

• 2+ years of professional backend software engineering experience
• Professional experience developing backend services using Python, JavaScript/Node,js and Java
• Experience designing and building REST APIs and service-based architectures
• Experience extending or integrating with ArcGIS Enterprise or similar enterprise geospatial platforms
• Familiarity with geoprocessing workflows, proxies and middleware services and automation of GIS or data processing tasks
• Experience working in containerized environments (Docker, Kubernetes, or similar)
• Solid fundamentals in API design, software/system design, and testing and debugging distributed services
• Strong problem-solving, communication, and collaboration skills
• US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
• Bachelor's degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or STEM related field

Recommended Qualifications

• Master's degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or Stem related field
• Esri certification
• CompTIA Security + certification
• Experience with containerization technologies such as Docker and Kubernetes
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Experience with monitoring, logging, and observability tools
• Exposure to DevSecOps practices and secure development pipelines
• Experience with ArcGIS Enterprise SDKs, automation frameworks, or platform extensions
• Experience building services for geospatial analysis, data pipelines, or map services
• Familiarity with enterprise authentication, proxies, and secure service architectures
• Experience with relational and spatial databases (PostgreSQL,PostGIS, SQL Server, and more)
• Exposure to event-driven architecture, batch processing, or distributed data workflows

#LI-SS2

#LI-Onsite

Overview

In this position, you will build software leveraging Esri's products and APIs to build core backend services that solve complex problems at a global scale. This is a unique opportunity to grow your technical skills while contributing to projects that matter. You'll work alongside engineers and mentors in a collaborative, cross-functional environment that values learning, innovation, and purpose. From building intuitive AI web interfaces to writing Python for geoprocessing tools and AI agents, you'll be exposed to the full development lifecycle and cutting-edge GIS solutions. 

This team supports Defense and Intel clients. You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference in communities around the world. You will be part of a team that influences lasting contributions for communities with the web and mobile applications you create.

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.

Esri has a Relocation Assistance Program and can provide support with relocating to the Vienna, VA area for this position. 

Responsibilities

• Build backend services that power geospatial processing, automation, and user-facing capabilities
• Develop APIs, proxies, and integration services using Node.js and Python
• Create and maintain backend tooling that extends ArcGIS Enterprise in containerized environments
• Develop and maintain geoprocessing services, automation scripts, and operational workflows
• Build connectors and ingestion pipelines across diverse enterprise data sources
• Support deployments across cloud-native and on-prem environments
• Improve reliability and performance through API design, testing, monitoring, and observability
• Collaborate with platform, DevOps, and GIS teams to translate requirements into production solutions

Requirements

• 2+ years of professional backend software engineering experience
• Professional experience developing backend services using Python, JavaScript/Node,js and Java
• Experience designing and building REST APIs and service-based architectures
• Experience extending or integrating with ArcGIS Enterprise or similar enterprise geospatial platforms
• Familiarity with geoprocessing workflows, proxies and middleware services and automation of GIS or data processing tasks
• Experience working in containerized environments (Docker, Kubernetes, or similar)
• Solid fundamentals in API design, software/system design, and testing and debugging distributed services
• Strong problem-solving, communication, and collaboration skills
• US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
• Bachelor's degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or STEM related field

Recommended Qualifications

• Master's degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or Stem related field
• Esri certification
• CompTIA Security + certification
• Experience with containerization technologies such as Docker and Kubernetes
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Experience with monitoring, logging, and observability tools
• Exposure to DevSecOps practices and secure development pipelines
• Experience with ArcGIS Enterprise SDKs, automation frameworks, or platform extensions
• Experience building services for geospatial analysis, data pipelines, or map services
• Familiarity with enterprise authentication, proxies, and secure service architectures
• Experience with relational and spatial databases (PostgreSQL,PostGIS, SQL Server, and more)
• Exposure to event-driven architecture, batch processing, or distributed data workflows

#LI-SS2

#LI-Onsite

Overview

In this position, you will design and develop high-performance, secure, and automated pipelines for deployment of Esri technology in the cloud and no-premises. You will partner closely with software developers and cloud engineers to ensure our integration and deployment is high-quality, reliable, and mission focused. 

This team supports Defense and Intel clients. You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference in communities around the world. You will be part of a team that influences lasting contributions for communities with the solutions you develop.

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.

Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position. 

Responsibilities

• Design, implement, and maintain high-speed CI/CD pipelines using GitHub Actions/Azure DevOps for cloud-native workflows and Jenkins for complex, cross-platform on-premises build automation
• Architect and optimize Docker environments to ensure consistent, isolated, and reproducible build/test runners across the entire development lifecycle
• Work with the team to help lead the design of the next-generation Python package creation process; manage complex Conda recipes and environments to ensure seamless distribution of the ArcGIS API and its dependencies
• Build and manage the underlying build infrastructure (runners, nodes, and registries) using automated provisioning to ensure high availability and scalability of the release system
• Implement automated security gatekeeping, including the generation of SBOMs (software Bill of Materials), vulnerability scanning, and license compliance for all Python and Rust artifacts
• Work with the team to help design and implement monitoring frameworks to track build performance; assist in automated load and performance testing of the Python stack to identify regressions before release
• Identify and eliminate manual bottlenecks by transitioning legacy workflows into modern, "everything-as-code" processes
• Oversee the lifecycle of third-party dependencies, ensuring that the supply chain is secure, from source code to the final distributed package

Requirements

• 2+ years of professional DevOps, CI/CD, or platform automation 
• Hands on experience designing and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Azure Pipelines, or similar) 
• Experience working with YAML-based pipeline configurations and infrastructure definitions
• Exposure to automation and scripting (Python and/or JavaScript preferred)
• Experience with infrastructure automation tools such as Ansible, AWS CDK, Terraform or similar IaC frameworks
• Ability to write and optimize Docker files and support container-based deployments
• Understanding of artifact management, dependency management, and secure build practices
• Familiarity with SBOM tools and artifact signing concepts
• Exposure to cloud platforms (AWS and/or Azure) especially compute services and storage services (S3, Blob Storage)
• US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
• Bachelor's in Computer Science, Mathematics, DevOps, Geographic Information Systems (GIS), or STEM related field

Recommended Qualifications

• Master's in Computer Science, Mathematics, DevOps, Geographic Information Systems (GIS), or Stem related field
• Experience automating backend systems and operational workflows
• Familiarity with release engineering and deployment strategies (blue/green, canary, etc.)
• Experience integrating security scanning into pipelines (SAST/DAST, container scanning)
• Exposure to Kubernetes-based delivery environments
• Exposure to DevSecOps practices and secure development pipelines
• CompTIA Security + certification
• Experience working in Agile or Scrum development environments 

#LI-SS2

#LI-Onsite

Overview

In this position, you will design and develop high-performance, secure, and automated pipelines for deployment of Esri technology in the cloud and no-premises. You will partner closely with software developers and cloud engineers to ensure our integration and deployment is high-quality, reliable, and mission focused. 

This team supports Defense and Intel clients. You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference in communities around the world. You will be part of a team that influences lasting contributions for communities with the solutions you develop.

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.

Esri has a Relocation Assistance Program and can provide support with relocating to the St. Louis, MO area for this position. 

Responsibilities

• Design, implement, and maintain high-speed CI/CD pipelines using GitHub Actions/Azure DevOps for cloud-native workflows and Jenkins for complex, cross-platform on-premises build automation
• Architect and optimize Docker environments to ensure consistent, isolated, and reproducible build/test runners across the entire development lifecycle
• Work with the team to help lead the design of the next-generation Python package creation process; manage complex Conda recipes and environments to ensure seamless distribution of the ArcGIS API and its dependencies
• Build and manage the underlying build infrastructure (runners, nodes, and registries) using automated provisioning to ensure high availability and scalability of the release system
• Implement automated security gatekeeping, including the generation of SBOMs (software Bill of Materials), vulnerability scanning, and license compliance for all Python and Rust artifacts
• Work with the team to help design and implement monitoring frameworks to track build performance; assist in automated load and performance testing of the Python stack to identify regressions before release
• Identify and eliminate manual bottlenecks by transitioning legacy workflows into modern, "everything-as-code" processes
• Oversee the lifecycle of third-party dependencies, ensuring that the supply chain is secure, from source code to the final distributed package

Requirements

• 2+ years of professional DevOps, CI/CD, or platform automation 
• Hands on experience designing and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Azure Pipelines, or similar) 
• Experience working with YAML-based pipeline configurations and infrastructure definitions
• Exposure to automation and scripting (Python and/or JavaScript preferred)
• Experience with infrastructure automation tools such as Ansible, AWS CDK, Terraform or similar IaC frameworks
• Ability to write and optimize Docker files and support container-based deployments
• Understanding of artifact management, dependency management, and secure build practices
• Familiarity with SBOM tools and artifact signing concepts
• Exposure to cloud platforms (AWS and/or Azure) especially compute services and storage services (S3, Blob Storage)
• US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
• Bachelor's in Computer Science, Mathematics, DevOps, Geographic Information Systems (GIS), or STEM related field

Recommended Qualifications

• Master's in Computer Science, Mathematics, DevOps, Geographic Information Systems (GIS), or Stem related field
• Experience automating backend systems and operational workflows
• Familiarity with release engineering and deployment strategies (blue/green, canary, etc.)
• Experience integrating security scanning into pipelines (SAST/DAST, container scanning)
• Exposure to Kubernetes-based delivery environments
• Exposure to DevSecOps practices and secure development pipelines
• CompTIA Security + certification
• Experience working in Agile or Scrum development environments 

#LI-SS2

#LI-Onsite

Overview

In this position, you will design and develop high-performance, secure, and automated pipelines for deployment of Esri technology in the cloud and no-premises. You will partner closely with software developers and cloud engineers to ensure our integration and deployment is high-quality, reliable, and mission focused. 

This team supports Defense and Intel clients. You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference in communities around the world. You will be part of a team that influences lasting contributions for communities with the solutions you develop.

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.

Esri has a Relocation Assistance Program and can provide support with relocating to the Vienna, VA area for this position. 

Responsibilities

• Design, implement, and maintain high-speed CI/CD pipelines using GitHub Actions/Azure DevOps for cloud-native workflows and Jenkins for complex, cross-platform on-premises build automation
• Architect and optimize Docker environments to ensure consistent, isolated, and reproducible build/test runners across the entire development lifecycle
• Work with the team to help lead the design of the next-generation Python package creation process; manage complex Conda recipes and environments to ensure seamless distribution of the ArcGIS API and its dependencies
• Build and manage the underlying build infrastructure (runners, nodes, and registries) using automated provisioning to ensure high availability and scalability of the release system
• Implement automated security gatekeeping, including the generation of SBOMs (software Bill of Materials), vulnerability scanning, and license compliance for all Python and Rust artifacts
• Work with the team to help design and implement monitoring frameworks to track build performance; assist in automated load and performance testing of the Python stack to identify regressions before release
• Identify and eliminate manual bottlenecks by transitioning legacy workflows into modern, "everything-as-code" processes
• Oversee the lifecycle of third-party dependencies, ensuring that the supply chain is secure, from source code to the final distributed package

Requirements

• 2+ years of professional DevOps, CI/CD, or platform automation 
• Hands on experience designing and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Azure Pipelines, or similar) 
• Experience working with YAML-based pipeline configurations and infrastructure definitions
• Exposure to automation and scripting (Python and/or JavaScript preferred)
• Experience with infrastructure automation tools such as Ansible, AWS CDK, Terraform or similar IaC frameworks
• Ability to write and optimize Docker files and support container-based deployments
• Understanding of artifact management, dependency management, and secure build practices
• Familiarity with SBOM tools and artifact signing concepts
• Exposure to cloud platforms (AWS and/or Azure) especially compute services and storage services (S3, Blob Storage)
• US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
• Bachelor's in Computer Science, Mathematics, DevOps, Geographic Information Systems (GIS), or STEM related field

Recommended Qualifications

• Master's in Computer Science, Mathematics, DevOps, Geographic Information Systems (GIS), or Stem related field
• Experience automating backend systems and operational workflows
• Familiarity with release engineering and deployment strategies (blue/green, canary, etc.)
• Experience integrating security scanning into pipelines (SAST/DAST, container scanning)
• Exposure to Kubernetes-based delivery environments
• Exposure to DevSecOps practices and secure development pipelines
• CompTIA Security + certification
• Experience working in Agile or Scrum development environments 

#LI-SS2

#LI-Onsite

Overview

In this position, you will develop visualization software to understand data where proximity and location matter. Your work will help developer communities re-imagine the capabilities of location-aware software applications that enable real-world improvements. 

This team supports Defense and Intel clients. You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference in communities around the world. You will be part of a team that influences lasting contributions for communities with the web and mobile applications you create.

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.

Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position. 

Responsibilities

• Design, develop, and maintain back-end services and APIs
• Collaborate with front-end developers and stakeholders to deliver end-to-end solutions
• Build and enhance CI/CD pipelines to improve deployment speed and reliability
• Ensure application performance, security, and scalability
• Participate in code reviews and contribute to engineering best practices
• Support production systems and troubleshoot issues as needed

Requirements

• 2+ years of professional software development experience 
• Professional experience with web design and web front end development
• Experience with front-end development libraries, such as React, Angular, Vue, etc.
• Background building high availability and high scalability solutions
• Excellent written and verbal communication skills; strong interpersonal skills
• Creative problem-solving skills and proven good judgement
• Highly detail oriented with excellent organizational, analytical, and time management skills
• US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
• Bachelor's in Computer Science, Mathematics, Geographic Information Systems (GIS), or STEM related field

Recommended Qualifications

• Master's in Computer Science, Mathematics, Geographic Information Systems (GIS), or Stem related field
• Esri certification
• CompTIA Security + certification
• Experience with containerization technologies such as Docker and Kubernetes
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Experience with monitoring, logging, and observability tools
• Exposure to DevSecOps practices and secure development pipelines
• Experience working in Agile or Scrum development environments

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Overview

In this position, you will develop visualization software to understand data where proximity and location matter. Your work will help developer communities re-imagine the capabilities of location-aware software applications that enable real-world improvements. 

This team supports Defense and Intel clients. You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference in communities around the world. You will be part of a team that influences lasting contributions for communities with the web and mobile applications you create.

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.

Esri has a Relocation Assistance Program and can provide support with relocating to the Vienna, VA area for this position. 

Responsibilities

• Design, develop, and maintain back-end services and APIs
• Collaborate with front-end developers and stakeholders to deliver end-to-end solutions
• Build and enhance CI/CD pipelines to improve deployment speed and reliability
• Ensure application performance, security, and scalability
• Participate in code reviews and contribute to engineering best practices
• Support production systems and troubleshoot issues as needed

Requirements

• 2+ years of professional software development experience 
• Professional experience with web design and web front end development
• Experience with front-end development libraries, such as React, Angular, Vue, etc.
• Background building high availability and high scalability solutions
• Excellent written and verbal communication skills; strong interpersonal skills
• Creative problem-solving skills and proven good judgement
• Highly detail oriented with excellent organizational, analytical, and time management skills
• US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
• Bachelor's in Computer Science, Mathematics, Geographic Information Systems (GIS), or STEM related field

Recommended Qualifications

• Master's in Computer Science, Mathematics, Geographic Information Systems (GIS), or Stem related field
• Esri certification
• CompTIA Security + certification
• Experience with containerization technologies such as Docker and Kubernetes
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Experience with monitoring, logging, and observability tools
• Exposure to DevSecOps practices and secure development pipelines
• Experience working in Agile or Scrum development environments

#LI-SS2

#LI-Onsite