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

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

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.

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, 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.

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’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

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 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.

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.

Overview

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

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

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

Responsibilities

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

Requirements

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

Recommended Qualifications

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

#LI-DR5

Overview

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

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

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

Responsibilities

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

Requirements

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

Recommended Qualifications

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

#LI-DR5

Overview

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

#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 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

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 St. Louis, MO 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

Overview

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

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

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

Responsibilities

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

Requirements

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

Recommended Qualifications

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

#LI-DR5

Overview

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

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

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

Responsibilities

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

Requirements

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

Recommended Qualifications

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

#LI-DR5

What Impact You'll Have

Work on a development team, utilizing Agile scrum methodology, which is responsible for developing and maintain agency wide Platform as a Service (PaaS) capability deployed across multiple security domains.  The PaaS environment supports multiple tenants deploying a myriad of application stacks and data services. Our work depends on TS/SCI level cleared Hybrid Cloud Platform Engineer joining our team to support our Intelligence customer in Springfield, VA or St Louis, MO.

What You'll be Owning

• O&M of existing Red Hat OpenShift environment across multiple security domains in both Cloud and datacenter (vSphere) environments
• Support OpenShift operators and frameworks including Crossplane, Kyverno, RedHat GitOps
• Deploy OpenShift to new sites as they come online
• Work with internal and external teams to understand integration requirements and scale existing platforms to meet them
• Work with Security to ensure ongoing compliance and develop secure solutions
• Support data services including RabbitMQ, Redis, PostgreSQL, Elastic Stack
• Compile detailed documentation

What You Must Have

• Bachelor's Degree in Computer Programming, Science, Engineering or a related technical discipline.
• US Citizenship required
• Active TS/SCI clearance and ability to obtain a CI Polygraph 
• 5+ years of Developer experience
• Meet DoD 8570 IAT Level II requirements including one of the following:  Security+ CE, CND, SSCP, GSEC, GICSP, CySA+, or CCNA

What Would be Nice to Have

• Experience deploying and managing RedHat Open Shift in a cloud and/or vSphere environment
• Experience with Amazon Web Services
• Python, Shell scripting, Git
• Linux distributions: RHEL/RHCOS, CentOS
• CI/CD orchestration tools: GitLab CI, Jenkins
• Container technology: Docker, Kubernetes, and Cloud Native Computing Foundation ecosystem in general