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.

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 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.

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

MongoDB is looking for a transformational HR Leader who has partnered with senior leaders to drive complex, global change at scale. As the Senior Director, you will partner with the Chief Revenue Officer Leadership Team and the VP, HRBP to drive a people strategy that enables durable, profitable growth, expands our market reach, and builds a deep bench of leaders for tomorrow. The role reports to the VP, HR Business Partnering and manages a global team of two. 

At MongoDB, the HRBP team’s key focus is to be a trusted advisor to business leaders, translating business strategy into people and organizational priorities that drive performance, culture and growth. This includes shaping workforce strategy & culture, optimizing organizational design and building leadership capability. They use data and insights to influence decisions, anticipate talent needs and ensure that the business has the right structure, culture and capabilities to scale. In short, they are an extension of the business leadership team. They accomplish all of this through very close collaboration with the various other functions within the People Team - Total Rewards, Culture Talent & Development, Talent Acquisition, Regional HR, HR Operations, and People Analytics.  

Key Responsibilities

​Strategic Partnership & Business Leadership

• Serve as a trusted advisor to the CRO and global Sales leadership team, shaping people and organizational strategies that drive scalable revenue growth and global market expansion
• Leverage business acumen and data-driven insights to influence decisions on organization design, talent strategy, and leadership effectiveness
• Lead and develop a global team, fostering growth, excellence, and deep partnership capability

Talent & Performance Management

• Drive a high-performance culture through disciplined goal-setting, continuous feedback, and performance calibration across regions
• Partner with leaders to identify, develop, and retain top talent
• Use analytics and insights to diagnose trends, assess bench strength, and implement targeted development and engagement strategies that sustain performance
• Practice what you coach within your own team, providing continuous feedback, coaching and guidance to your team of BPs

Leadership Development & Succession Planning

• Lead succession planning for critical roles, ensuring depth and readiness across the global Sales organization
• Provide executive coaching and counsel to senior leaders to elevate influence, decision-making, and people leadership capability

Organizational Planning, Design & Change Leadership

• Lead global transformation and organizational design initiatives to ensure that the organizational structure enables accountability, scalability and performance
• Architect organizational change, ensuring transformations are executed thoughtfully and sustainably with clear communication and employee engagement

Culture & Employee Experience

• Act as a culture carrier and change agent, embedding company values and leadership principles into daily decisions, programs & behaviors
• Foster a culture of retention where teams feel empowered and aligned to outcomes

Profile & Experience

• 12+ years of HR experience, including 8+ years in senior HRBP roles and at least 4+ years leading a team of HRBPs
• Proven success leading people strategy and organizational transformation in a high-growth, high-performance technology company
• Strong business acumen and deep understanding of Go-To-Market operations and strategies
• Demonstrated ability to influence, build trust, and drive change across complex global organizations with very senior leaders
• Track record of leading through ambiguity and scaling organizations
• Analytical and insight-driven; uses data to guide decisions and measure impact
• Exceptional communication, judgment, and credibility at the most senior levels
• Consumption experience is a plus

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273422877

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

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Accenture Federal Services (AFS) brings together commercial innovation with the latest technology to deliver bold solutions for federal missions. We help our clients modernize systems, improve operations, and enhance the citizen experience. Join us and help drive meaningful impact at scale.

The Work:

As a Business Analyst, you will support mission‑driven technology initiatives by analyzing current business processes, gathering and documenting requirements, and translating those needs into clear, actionable user stories for technical teams. You will collaborate closely with stakeholders, facilitate discussions, and support the full systems development lifecycle to ensure solutions meet business, functional, and compliance requirements.

You will:

• Lead and support requirements elicitation, discovery sessions, and workflow analysis to understand current‑state systems, data, and processes.
• Define future‑state business processes, business rules, and user journeys; perform gap analysis and document findings.
• Develop business, functional, and system requirements, translating them into user stories and acceptance criteria for Agile teams.
• Create process diagrams, data mapping artifacts, and functional specifications to support design and development activities.
• Partner with architects, developers, and testers to clarify requirements, support backlog refinement, and participate in sprint activities.
• Facilitate stakeholder communication, ensure alignment on requirements, and document key decisions throughout the project lifecycle.

What You Need:

• Experience supporting the SDLC and Agile delivery environments (Scrum, Kanban).
• Demonstrated ability to document business processes, requirements, user stories, and acceptance criteria.
• Experience with Jira, Azure DevOps, Confluence, and/or similar collaboration and work‑tracking tools.
• Ability to perform SQL queries (read/joins/basic analysis).

Bonus Points:

• Experience supporting federal programs or mission‑oriented environments.
• Background in cloud/web modernization (AWS/Azure/GCP)
• Experience supporting testing, QA, automation tools, or user‑facing training materials.
• Experience with tools such as Visio/Lucidchart, Power BI/Tableau, or Medallia (for CX programs)

Eligibility Requirements:

• U.S. citizenship required
• Active Public Trust or the ability to obtain one

Location:

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.

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 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

The work:

Data Engineer is responsible for creating efficient data pipelines, ensuring data quality, and implementing ETL (Extract, Transform, Load) processes to facilitate the seamless migration and deployment of data across systems. The Data Engineer works within the Agile frameworks to support the team's data-driven approach to application migration, collaborating closely with other team members to ensure data integrity and accessibility throughout the transition to cloud environments.

Key Responsibilities:

• Design and develop scalable, efficient data architectures to support the migration process
• Create data models and schemas that align with both source and target systems
• Develop and maintain robust data pipelines for data generation, collection, and processing
• Implement real-time and batch processing pipelines as required by the migration strategy
• Design and implement ETL processes to migrate data between source and target systems
• Develop scripts and workflows for data extraction, transformation, and loading
• Develop and maintain data cleansing routines to address data inconsistencies
• Create monitoring systems to track data quality metrics throughout the migration
• Collaborate with the migration team to plan and execute data migration strategies
• Provide expertise on data-related aspects of the migration process
• Troubleshoot and resolve data-related issues during migration
• Optimize data processing and storage for improved performance in cloud environments
• Monitor and tune data pipelines for efficiency
• Implement data security measures to protect sensitive information during migration
• Ensure compliance with data protection regulations and organizational policies
• Develop and maintain data access controls and audit trails
• Create and maintain comprehensive documentation for data architectures and processes
• Work closely with data analysts, cloud engineers, and application developers
• Integrate data solutions with other components of the migrated applications
• Participate in Agile ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives) 

Here's what you need:

• Bachelors degree and a minimum of 5 years experience.
• Active Secret Security clearance required
• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)
• Experience with Python, SQL, Spark, and PySpark
• Familiarity with data orchestration and data quality processes 

Preferred experience:

• Experience with data platforms like Databricks, Palantir, and Snowflake

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

Key Responsibilities

• Administer and maintain SOC/NOC tools, such as SIEM, SOAR, and network monitoring systems.
• Monitor and optimize system performance, resource utilization, and tool configurations.
• Ensure proper integration and functionality of SOC/NOC tools.
• Implement security controls, apply system updates, and conduct regular patching.
• Troubleshoot and resolve system issues related to NOC/SOC operations.
• Develop and maintain scripts for automation and system management.
• Maintain documentation for system configurations, processes, and procedures.

Requirements

• Minimum of 2 years of IT System Administration experience supporting one or more of the following: Networking, Linux, Cloud, Windows, or Microsoft platforms.
• Experience administering SOC and/or NOC tools (e.g., SIEM, SOAR, or network monitoring tools).
• Familiarity with security best practices and compliance standards (e.g., NIST, ISO 27001).
• Strong troubleshooting and problem-solving skills.

Preferred Qualifications

• Advanced certifications (e.g., CompTIA Security+, CISSP, or relevant vendor certifications).
• Experience with automation tools and frameworks (e.g., Ansible, Puppet).
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud).

Responsibilities:

• Perform advanced analysis to identify threat actor TTPs, post-compromise behaviors, and insider threats.
• Develop and refine SIEM dashboards to enhance threat detection and monitoring capabilities.
• Lead and manage a team of Tier 1 and Tier 2 analysts, providing mentorship and training.
• Provide expert-level investigative support for large-scale and highly complex security incidents.
• Conduct advanced malware analysis and forensic investigations, including evidence collection and preservation.
• Drive threat hunting activities using behavioral analysis and intelligence-driven methodologies.
• Collaborate with senior leadership and clients to communicate findings, risks, and mitigation strategies.

Job Qualifications:

• 6+ years of experience with incident response, digital forensics, or threat hunting.
• Hands-on experience conducting malware analysis, DFIR, and CTI investigations.
• Proficiency with forensic tools such as Encase, Forensic Toolkit (FTK), and XRY.
• Expertise in forensic evidence collection, preservation, and chain of custody protocols.
• Experience interacting with senior-level leadership, including client stakeholders.
• 2+ years of experience leading SOC teams or managing medium-to-large teams in a security capacity.

Bonus Points:

• Certifications such as CISSP, GREM, OSCP, or GCFA.
• Experience with proactive threat modeling and adversary emulation.
• Strong knowledge of cloud security frameworks and tools (e.g., AWS, Azure, GCP).
• Ability to develop SOC playbooks and processes to improve operational efficiency.

Eligibility Requirement:

• Must hold an Active Secret clearance
• Must be a US Citizen Only (No Dual Citizenship, No Green Card Holder)

This is 100% onsite role in St Louis, MO

#LI-Defense #LI-Onsite 

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.

Enterprise Account Executive — Heartland Enterprise

Primary location: Minneapolis

OTE: $300-$320K (50/50 split)

About Salt Security
Salt Security pioneered API security to protect the interfaces behind every modern app. Today, our AI-driven platform secures APIs and AI Agents end to end—including the action layer that powers AI Agents and MCP servers—so enterprises can innovate faster without sacrificing safety. We’re a collaborative, high-ownership team that values curiosity, execution, and customer impact.

About the role
You’ll own net-new and expansion business across enterprise accounts in Minnesota, Iowa, Missouri, North Dakota, South Dakota, Nebraska and Kansas. You’ll drive multi-threaded cycles with CIO/CISO, AppSec, Platform, and Cloud leaders; align partners; and land multi-solution wins across discovery, posture, and runtime protection.

What you’ll do
• Build and manage a territory plan for enterprise accounts across MN, IA, MO, ND, SD, NE, KS, and AR with clear coverage of major hubs (Minneapolis–St. Paul, Kansas City, St. Louis, Omaha, Des Moines, Little Rock, Fargo/Sioux Falls).
• Create pipeline through targeted prospecting, partner co-sell (AWS, CrowdStrike, etc), and executive networking.
• Run full-cycle sales: discovery, value mapping, business case, security validation, legal/procurement, and close.
• Position Salt’s portfolio (Cloud Connect, Surface, Posture Governance, Runtime Protection, and AI Agent/MCP Security) and integrations to displace incumbents and consolidate tools.
• Lead account strategies with SEs, product, and customer success to ensure fast time-to-value and expansion.
• Maintain accurate forecasts in Salesforce and report on risks, next steps, and executive asks.
• Host on-site sessions and workshops; travel regularly throughout MN/IA/MO/ND/SD/NE/KS/AR as required.

What you’ll need
• Proven success selling enterprise cybersecurity/SaaS into large accounts (Fortune/Global 2000 preferred).
• Track record closing complex deals with multiple stakeholders and security validation, including 6- and 7-figure TCV.
• Strong familiarity with cloud-native environments (AWS/Azure/GCP), API security, and adjacent platforms (WAF, CNAPP, EDR/XDR, SIEM).
• Comfortable executing MEDDIC, SPICED, or similar methodology; crisp discovery and business case building.
• Executive presence with the ability to engage C-level and board-level influencers; excellent written and verbal communication.
• High ownership mindset: territory planning, partner alignment, and disciplined deal execution.
• Salesforce proficiency.

Why Salt Security
• Category leadership and a product roadmap that wins technical and business evaluations.
• Competitive compensation, equity, and comprehensive benefits.
• Remote-friendly culture with real autonomy and growth.
• Inclusive environment where great ideas win and careers accelerate.

Join us to help the Heartland’s most innovative enterprises secure the APIs that power their business.

#LI-DP1

#LI-DP1

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

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 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 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