Jobs in the United States

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Added 11 mins ago
Principal Offensive Security Engineer
Alteryx, Inc.
Remote, United States
Alteryx is searching for a Principal Offensive Security Engineer in the United States. Join a team that values diverse perspectives, technical curiosity, and collaboration to improve the…
Added 12 mins ago
BH
DevOps Engineer IV
Banner Health
Remote, United States
- $54.7 to $91.16 USD / hour
As a DevOps Engineer IV within Banner Plans & Networks (BPN) Information Technology, you will play a critical role in maintaining and advancing the technology platforms that support…
Added 12 mins ago
Senior Automated Test Engineer
Leidos
Tucson, AZ
Leidos is seeking a Senior Test Automation Engineer to help deliver mission-essential software capabilities that enable intelligence professionals to access critical information, analyze…
Added 13 mins ago
Senior Data Engineer
Highmark Health
Phoenix, AZ
7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services
Added 26 mins ago
J
Senior Full Stack Developer
Jobgether
Remote, United States
- $140,000 to $250,000 USD / year
Experience developing Platform-as-a-Service (PaaS) solutions, internal developer platforms, or cloud-native software products.
Added 26 mins ago
J
Enterprise Solution Architect
Jobgether
Remote, United States
- $210,000 to $250,000 USD / year
…architecture expertise and a strong background in integration, cloud platforms, data architecture, application modernization, and cybersecurity. You should be capable of guiding complex…
Added 42 mins ago
Software Engineer Sr. Manager | Marketing Technology (Remote)
HOME DEPOT MANAGEMENT COMPANY, LLC
Remote, United States
…innovation, drive scalability, and ensure robust and reliable platforms that deliver exceptional performance and user…
Added 54 mins ago
M
Software Engineer 2 - CoreAI
Microsoft
WA · Redmond, WA · Redmond
- $102,100 to $219,200 USD / year
Experience with public cloud platforms such as Azure, AWS, or Google Cloud.
Added 56 mins ago
J
Senior Software Development Engineer in Test (SDET)
Jobgether
Remote, United States
- $70,000 to $80,000 USD / year
We are seeking a highly skilled Senior Software Development Engineer in Test to strengthen software quality and reliability across a complex healthcare technology platform. In this role,…
Added 57 mins ago
Staff Research Engineer/Scientist
ServiceNow
Santa Clara, CA
Ability to design scalable, secure data architectures; experience with cloud platforms (GCP, AWS), APIs, event-driven systems, and data governance patterns
Added 58 mins ago
Senior Data Engineer
Highmark Health
Honolulu, HI
7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services
Added 59 mins ago
ZT Engineer, Lead
BOOZ, ALLEN & HAMILTON, INC.
Honolulu, HI
…engineering and cybersecurity, combining backbone networking, cloud technologies, and Zero Trust principles to support mission-critical defense operations while continuously expanding your…
Added 1 hour ago
Infrastructure Engineer II
Info Image
Coppell, TX
Experience with cloud platforms (AWS or Azure)
Added 1 hour ago
M
Senior Software Engineer
Microsoft
United States
- $119,800 to $261,000 USD / year
The Azure Cloud Native Platform organization builds the distributed systems that power virtual machines and large-scale applications across Microsoft Azure. These systems operate at global…
Added 1 hour ago
M
Sr. Software Engineer
Microsoft
WA · VA · GA · Redmond, WA · Reston, VA · Atlanta, GA · Redmond · Reston · Atlanta
- $119,800 to $261,000 USD / year
Added 1 hour ago
M
Software Engineer- CoreAI
Microsoft
WA · Redmond, WA · Redmond
- $85,400 to $183,700 USD / year
As a Software Engineer in CoreAI, you will collaborate with engineers, applied scientists, and product teams to build AI-powered developer experiences, intelligent applications, and…
Added 1 hour ago
M
Solution Engineer - Microsoft Innovation Hub
Microsoft
MA · Boston, MA · Boston
- $130,900 to $272,300 USD / year
As a Solution Engineer - Microsoft Innovation Hub, working on-site in the Microsoft Innovation Hub located in Burlington, Massachusetts, you will merge business and technical requirements…
Added 1 hour ago
M
Cloud & AI Principal Solution Engineer
Microsoft
United States
- $130,900 to $272,300 USD / year
Are you passionate about cloud and artificial intelligence (AI) applications and interested in solving complex technical challenges? We invite you to join Microsoft as a Cloud & AI…
Added 1 hour ago
M
Software Engineer II, MSVC Rust Compiler - CoreAI
Microsoft
WA · Redmond, WA · Redmond
- $102,100 to $219,200 USD / year
The MSVC compiler team empowers a broad C++ and, now, Rust, ecosystem on multiple platforms and delivers fundamental improvements in solutions impacting millions of developers and billions…
Added 1 hour ago
M
Software Engineer 2
Microsoft
WA · CA · NY · Redmond, WA · Mountain View, CA · Redmond · Mountain View · New York
- $102,100 to $219,200 USD / year
…innovation, more openness, and the sky is the limit thinking in a cloud-enabled…
Added 1 hour ago
M
Software Engineer
Microsoft
BC, CA
- $67,700 to $133,600 CAD / year
…envision what’s possible, and take their careers further. In a cloud-enabled world, the possibilities for innovation are…
Added 1 hour ago
Senior Data Engineer
Highmark Health
Augusta, ME
7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services
Added 1 hour ago
EU
Mainframe Replication Engineer
Experis USA
Plano, TX
- Up to $63.38 USD / hour
We are seeking a skilled Mainframe Replication Engineer with hands-on experience delivering enterprise replication services for systems of record (SOR) hosted on Db2, IMS, and VSAM. The…
Added 1 hour ago
TT
Senior Software Engineer, Autonomous Systems
True Talent Solutions Partners
Palo Alto, CA
- $145,000 to $275,000 USD / year
…software for robotic and unmanned systems. You will help deliver cloud and edge capabilities that connect sensors, platforms, and intelligent decision-making in operational…
Added 1 hour ago
T
Sr. QA Automation Engineer
TEKsystems
South Sioux City, NE
- $100,000 to $130,000 USD / year
Our client in the insurance industry is seeking a Senior QA Automation Engineer to help drive enterprise-wide automation initiatives and support ongoing business transformation efforts.…

Tyler Technologies

ML/AI Data and Cloud Engineer

United States

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Job details

Posting language: English

Original job description

Description

We are seeking an ML/AI Data & Cloud Engineer to design, build, and operate the cloud-native components that deliver large-scale, data-intensive AI capabilities. This role focuses on building scalable data platforms, distributed processing systems, and model-serving infrastructure that enable end-to-end machine learning workflows in production. You will work closely with data scientists and product teams to transform advanced models into reliable, high-performance services. The ideal candidate combines strong engineering skills with a solid grounding in quantitative methods, and is comfortable leveraging modern AI-assisted development tools to accelerate research, prototyping, and delivery.

Responsibilities

Design and implement cloud-native data platforms that integrate structured and unstructured data into scalable data lakes or unified data systems
Build and maintain robust ingestion pipelines using API-driven, streaming, and batch processing workflows
Architect data processing systems for feature engineering, large-scale computation, and model training support
Develop and operate model-serving infrastructure enabling real-time and batch inference via APIs
Develop advanced modeling approaches combining statistical methods and machine learning (e.g., regression, gradient boosting, random forests, and ensemble/meta-learning techniques)
Implement model validation and monitoring frameworks addressing bias, drift, robustness, and performance
Tune cloud infrastructure for performance, reliability, and cost efficiency across compute, storage, and data transfer layers
Build and maintain MLOps pipelines for model deployment, versioning, monitoring, and automated retraining
Ensure platform reliability, fault tolerance, and data integrity across all stages of the data and model lifecycle

Qualifications

Bachelor’s degree in Computer Science, Data Engineering, Engineering, Applied Mathematics, or related field (or equivalent experience)
3+ years of experience in data engineering, cloud engineering, ML platform engineering, machine learning engineering, AI systems, quantitative modeling, or data-intensive platform development
Strong programming skills in Python and experience with backend, data engineering, or experience with modern ML frameworks and data tooling
Experience designing and operating cloud-native systems (AWS or equivalent)
Experience building and maintaining large-scale data pipelines and working with high-volume datasets
Experience developing APIs or microservices for production systems
Solid understanding of distributed systems, data processing, and system reliability concepts
Solid foundation in algorithms, data structures, and computational thinking

Preferred Qualifications

Familiarity with modern AI-assisted development tools and workflows (e.g., LLM-based coding assistants, agentic development environments, or similar tools)
Exposure to machine learning workflows and the infrastructure required to support training and inference at scale
Experience with cloud services (e.g., AWS: S3, EC2, Lambda, Glue, SageMaker, or equivalents)
Experience with containerization (Docker/Podman, ECS)
Experience with data lake architectures and multi-source data ingestion patterns
Familiarity with MLOps practices, including reproducibility, model versioning, and deployment automation
Working knowledge of statistics, econometrics, quantitative modeling, and optimization
Familiarity with cloud cost optimization strategies and performance tuning

What You’ll Work On

Scalable cloud data platforms integrating diverse, high-volume datasets
Foundational predictive models that adapt across markets rather than being rebuilt for each use case
A cloud-native platform supporting data ingestion, model training, inference, and scalable deployment
Intelligent systems for ranking, matching, scoring, and explanation of model outputs
Robust evaluation and monitoring frameworks for model performance and reliability
API-driven integration of AI capabilities into broader software ecosystems

Why Join Us? You’ll work on challenging, high-scale systems at the intersection of data engineering, cloud infrastructure, and machine learning. This role offers the opportunity to build foundational platforms that support advanced AI capabilities while shaping architecture, tooling, and best practices in a rapidly evolving space.

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