IT Platform Administrator responsible for ensuring availability and operation of enterprise applications, monitoring, troubleshooting, and maintaining system performance and security.
Compensation
Level I - 60,410 - 84,000
Level II - 60,410 - 106,929
Level III - 79,068 - 142,322
Level IV - 87,766 - 157,978
Responsibilities
Installs, configures, troubleshoots, patches, and maintains enterprise software platforms
Conducts testing, performance optimization and maintenance of applications
Monitors system uptime and performance, manages backups
Manages user and system accounts, network rights and access
Triages incidents with cross-functional teams
Requirements
Associates degree in Computer Science, Information Technology, Management Information Systems, Business, Analytics or relevant field
Bachelor’s degree in a related field preferred
Nice to have: Intermediate knowledge of operating systems, scripting languages, database management systems
Nice to have: Intermediate knowledge of content store application administration
Nice to have: Intermediate knowledge of ETL tools such as Informatica, Azure Data Factory, Databricks, AWS Glue
IT Platform Administrator responsible for ensuring availability, performance, and compliance of enterprise application platforms, including installation, configuration, monitoring, troubleshooting, and documentation.
Compensation
Level I - 60,410 - 84,000
Level II - 60,410 - 106,929
Level III - 79,068 - 142,322
Level IV - 87,766 - 157,978
Responsibilities
Installs, configures, troubleshoots, patches, and maintains enterprise software platforms
Conducts testing, performance optimization and maintenance of applications
Monitors system uptime and performance, manages backups and recoverability
Manages user and system accounts, network rights and access
Collaborates with cross-functional teams to triage and resolve incidents
Requirements
Associates degree in Computer Science, Information Technology, Management Information Systems, Business, Analytics or relevant field
Bachelor’s degree in a related field preferred
Nice to have: Advanced experience in securing enterprise platforms
Nice to have: Advanced experience in SDLC (S2E) and DevOps practices
Nice to have: Advanced experience in presenting technical information
Senior Applied Scientist on the Agentic AI team at Zillow, responsible for end-to-end applied science problems, developing and evaluating machine learning and LLM-based approaches to improve customer experiences.
Compensation
In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $164,400.00 - $262,600.00 annually. In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $156,200.00 - $249,400.00 annually. In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
Responsibilities
Own ambiguous applied-science problems end to end, from identifying an opportunity and forming a hypothesis through data analysis, modeling, experimentation and production iteration
Develop and compare machine learning and LLM-based approaches to improve customer experiences, establishing useful baselines, adapting relevant research and adding complexity when the evidence supports it
Build reliable datasets and offline evaluations, and design online experiments that connect model quality to meaningful customer and business outcomes
Partner with engineering, product, design and science teams to turn promising methods into reliable production capabilities, balancing quality, safety, latency and cost
Write maintainable Python and SQL, contribute production-ready scientific components, and share methods, findings and technical decisions with other scientists and engineers
Requirements
Senior Cybersecurity Engineer – Network Security, Zero Trust & Automation
General Dynamics Information Technology · Posted Nov 9, 2026
Senior Cybersecurity Engineer supporting Zero Trust and Security Engineering team, designing, implementing, and maintaining enterprise cybersecurity platforms in a federal environment.
Compensation
The likely salary range for this position is $149,469 - $184,000.
Responsibilities
Provide hands‑on engineering for next‑generation firewalls, secure remote access, segmentation, and related network‑security services.
Engineer, administer, troubleshoot, optimize, and sustain enterprise firewall technologies.
Manage the firewall policy lifecycle, including rules, objects, NAT, security profiles, recertification, cyber hygiene, optimization, and removal of obsolete or overly permissive policies.
Lead firewall and security‑platform changes, including impact analysis, testing, change control, rollback, validation, and documentation.
Support Zero Trust and SASE capabilities including ZTNA, Secure Web Gateway, Firewall‑as‑a‑Service, secure remote access, segmentation, device posture, and policy enforcement.
The Intermediate Data Engineer is responsible for the development and support of systems, services, and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise.
Locations (2)
Cedar Rapids, Iowa, United States
Denver, Colorado, United States
Compensation
$77,000 - $95,000 annually
Responsibilities
Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment.
Build and support the operation of Cloud and On-Premises enterprise data infrastructure and tools.
Design robust, reusable and scalable data driven solutions, and data pipeline frameworks to automate the ingestion, processing and delivery of structured and unstructured batch and real-time streaming data.
Build data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.
Experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments.
Compensation
The typical base salary range for this position is $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 annually.
Responsibilities
Develop AI agents and experiences that take real actions for real organizations
Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems
Design secure authentication and authorization mechanisms using OAuth, SSO, enterprise identity providers, and API gateways
Own technical components end-to-end from architecture choice to deployed, validated, and observable in production
Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms
Design, develop, and operate resilient distributed systems and cloud infrastructure for Salesforce’s public cloud platform.
Compensation
The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.
Responsibilities
Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms
Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers
Using and contributing to open source technology
Developing Infrastructure-as-Code
Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos
Join a high-velocity team to build an AI-powered platform for designing, automating, and running end-to-end business processes using agents.
Compensation
The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually.
Responsibilities
Lead development of intelligent agents that complete complex supply chain tasks with reliability and consistency
Spearhead architectural decisions for distributed systems serving millions of users with 24/7 availability
Design and implement planning systems that enable agents to execute multi-step workflows autonomously
Partner with Product Management and Executive Leadership to translate business vision into multi-year technical roadmaps
Guide technical decision-making for AI model deployment, safety constraints, and reliability frameworks
Lead Software Engineer responsible for architecture, design, development, and support of software systems supporting engineering, manufacturing, and business operations at IDEX Life Science Optics.
Compensation
The compensation range for this position is $112,700.00 - $169,100.00, depending on experience. This position may be eligible for performance based bonus plan.
Responsibilities
Serve as the primary technical owner for several software applications or platforms while contributing to the architecture and evolution of our software ecosystem.
Lead the architecture, design, development, and support of critical engineering, manufacturing, and business software systems.
Modernize legacy applications and workflows into scalable, maintainable, and extensible software platforms.
Collaborate with cross-functional stakeholders to translate business and technical needs into effective software solutions.
Design software that integrates with shared databases, enterprise data flows, manufacturing systems, and workstation-connected hardware.
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Physics, Mathematics, or a related technical discipline.