Cloud Native Technologies List Jobs in Usa

Role Summary

Seeking a highly experienced GCP Solution Architect to lead end-to-end Google Cloud architecture for a large energy client expanding its multi-cloud environment (currently Azure and C3 AI). This role requires true architecture ownership, including at least one full GCP implementation or migration.

Key Responsibilities

• Design and implement end-to-end GCP architecture (foundation build + data platform)
• Serve as GCP SME supporting delivery teams
• Architect data ingestion, processing, governance, and modeling solutions
• Enable multi-cloud integration across GCP, Azure, and C3 AI
• Provide technical leadership from design through implementation

Required Experience

• Hands-on Google Cloud architecture experience
• Led at least one end-to-end GCP implementation/migration
• Strong expertise in data management, governance, and analytics architecture
• Experience in enterprise or regulated environments preferred

Role Requirements:

· 3-4 years working in an analyst role.

· Proven attention to detail, especially related to technical information.

· Proven experience in a prior role managing technical information and details where accuracy was paramount.

· Excellent oral and written communication skills.

· Ability to work under pressure in a challenging environment. Ability to work well with others and collaborate with different functions.

· Knowledge of IT concepts, cloud computing, software, and systems.

· Knowledge of Amazon Web Services, Microsoft Azure, and/or Google Cloud Platform.

Desired

· Experience with Cloud ERP from a landscape perspective.

· Practical understanding of cloud architecture and IaaS operations model.

· Knowledge of enterprise technology infrastructure (i. e. networks, storage, enterprise server software including Windows Server, Linux, and monitoring technologies).

· Experience in a Managed Services environment.

Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance

Join us to build the technical foundation for AI accountability.

The Role

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.

The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.

What You'll Do

Months 1–3: Learn the System

Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.

Months 4–6: Build for Scale

Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.

Months 7–12: Expand

Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.

Why This Role Is Difficult

This is infrastructure for a scientific standard, not a product feature.

Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.

You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like \"operationalizing an ethical construct\" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.

The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.

You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.

You're probably the right person if

You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime

You're comfortable with GCP and have deployed containerized workloads in a real production context

You've worked with LLM APIs and understand their reliability and reproducibility characteristics

You can read a paper about measurement methodology and turn it into a working data structure

You build for durability. Your code is still running 18 months later because you thought about the next person

You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook

You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow

You're probably not the right fit if

Enterprise environments make up most of your experience. This is not a large-team context

You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists

You're based on the West Coast US or expect West Coast US working hours

You mainly build user-facing APIs and features — this is systems and infrastructure work

You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.

Hard Skills

These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.

• Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
• Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
• API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
• Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
• LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
• Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
• Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
• Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically

What you get

The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.

The comp: Base salary $110,000.

The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.

The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.

Senior Dynatrace Engineer responsible for designing, implementing, and maintaining enterprise monitoring solutions. The role focuses on ensuring end-to-end observability across applications, infrastructure, and cloud environments using Dynatrace. The engineer will also provide expertise in performance monitoring, troubleshooting, and proactive incident management.

Key Responsibilities

Monitoring & Observability

· Configure, maintain, and optimize monitoring solutions using Dynatrace.

· Provide end-to-end visibility across infrastructure, applications, and services.

· Develop dashboards, alerts, and health checks to monitor system performance.

· Define monitoring thresholds to reduce false alerts and improve reliability.

Infrastructure Monitoring

· Monitor Windows and Linux servers, virtual environments (VMware), and cloud platforms (AWS, Azure, GCP).

· Monitor databases, middleware, and network infrastructure components.

· Identify system trends and capacity requirements with infrastructure teams.

· Proactively detect and resolve system performance issues.

Application Performance Monitoring

· Monitor application performance and transaction flows using Dynatrace APM.

· Implement synthetic monitoring and real user monitoring.

· Collaborate with development teams to ensure comprehensive monitoring coverage.

· Troubleshoot performance issues across applications and systems.

Incident Management

· Support incident response activities related to performance and availability issues.

· Provide monitoring insights during root cause analysis.

· Identify monitoring gaps and improve monitoring coverage.

Continuous Improvement

· Improve monitoring standards, documentation, and best practices.

· Recommend enhancements to monitoring configurations and alerting strategies.

· Integrate monitoring tools with ITSM platforms such as Jira or ServiceNow.

Required Qualifications

Education

· Bachelor's degree in Computer Science, Information Systems, or equivalent experience.

Experience

· Minimum 5+ years of experience in systems engineering, infrastructure support, or monitoring roles.

· 5+ years hands-on experience with Dynatrace or similar APM tools.

· Experience migrating Dynatrace Managed to Dynatrace SaaS environments.

Technical Skills

· Strong knowledge of Windows/Linux servers and VMware environments.

· Experience with cloud platforms (AWS, Azure, GCP).

· Understanding of networking concepts such as DNS, TCP/IP, and load balancing.

· Experience with automation or scripting (PowerShell, Bash).

· Knowledge of monitoring baselines, KPIs, and SLAs.

· Familiarity with enterprise log analysis frameworks and tools like Jira or ServiceNow.

· Experience monitoring containerized environments such as Kubernetes (preferred).

Preferred

· Exposure to AWS Solution Architect Professional Certification.

Soft Skills

· Strong troubleshooting and analytical skills.

· Excellent written and verbal communication.

· Ability to collaborate across technical and business teams.

· Detail-oriented with a proactive approach to system monitoring and reliability.

Director, Analytics Product Management Business Intelligence Center (Google Cloud) – Hybrid

Houston, Texas – US Citizen or Green Card Only

We are looking for a strategic leader to drive the vision, development, and adoption of advanced analytics and AI solutions across our sales organization. This role will oversee a portfolio of AI-enabled products, including predictive models, generative AI tools, and decision intelligence integrated into CRM and digital platforms, all designed to enhance sales performance and revenue growth.

As a key leader, the Director will partner with senior product managers and cross-functional technical teams to define product strategy, prioritize initiatives, and ensure seamless execution. Success in this role requires a strong blend of technical expertise, business insight, and executive influence, enabling the leader to translate complex AI capabilities into tangible business outcomes and enterprise-wide adoption.

RESPONSIBILITIES

Shape Enterprise Analytics Strategy: Develop and continuously refine the advanced analytics roadmap, ensuring alignment with business priorities and growth goals across local and national sales operations.

Lead AI/ML Product Innovation: Collaborate with data science and engineering teams to create, implement, and scale predictive and generative AI solutions that drive tangible business outcomes.

Team Leadership & Development: Guide, mentor, and grow senior Product Owners and Translators focused on analytics and AI initiatives; provide clear strategic direction and foster a high-performing, collaborative culture.

Executive Communication & Influence: Translate complex analytics into actionable insights for C-suite and senior leaders, securing alignment and executive sponsorship for key initiatives.

Governance & Stakeholder Management: Establish and maintain governance frameworks and executive cadences to prioritize roadmaps and ensure smooth delivery of quarterly product releases.

Portfolio Management: Oversee a suite of analytics products, balancing innovation with compliance and governance, while ensuring usability and integration across business intelligence platforms, CRM, and digital channels.

Drive Adoption & Value Realization: Ensure solutions are embedded into business processes and deliver measurable impact on performance and revenue.

QUALIFICATIONS

Education

• Bachelor's degree in an analytical field (e.g., Engineering, Mathematics, Computer Science, Business).
• MBA or another advanced degree from a top-tier educational institution (preferred)

Experience

• 8+ years in product management or analytics leadership roles, with proven experience delivering AI/ML-drivenproducts atscale.
• Prior experience in a corporate setting or leading a professional services company in an analytical or strategic role, such as Strategy, Finance, or Insights.
• Demonstrated success managing multiple product teams and driving enterprise-wide adoption of analytics solutions.
• 3+ years with Google Cloud

Professional Skills

• Strong problem-solving skills to take ambiguous challenges and develop structured frameworks for defining, analyzing, and solving them.
• Experience shaping enterprise strategies and working with senior leadership to drive alignment and investment.
• Ability to manage ambiguity and guide the organization toward clear and decisive action plans.
• High level of familiarity with digital technologies, including understanding of underlying data architectures, data requirements, and interdependencies between front-end, service layer, and back-end systems.
• Deep understanding of descriptive, predictive, and prescriptive analytics approaches and ability to educate business stakeholders on modeling techniques.
• Strong grasp of business value drivers and the relationship between modeling choices and business impact.
• Ability to establish a collaborative work environment that enables cross-functional teams to execute at a high level.
• Superb verbal, written, and interpersonal skills; fluency in interfacing with both technical and executive teams, and the ability to make complex analytics understandable and actionable.

Equal Opportunity Employer (EOE). We are committed to creating an inclusive environment for all employees and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic.

Let's talk about benefits

Revolution Technologies is proud to offer some of the best rates in the market. Revolution is also pleased to provide a comprehensive benefits package including medical, dental, vision, short-term disability, access to a health savings account, tuition reimbursement, scholarship opportunities, 401k, life insurance, supplemental insurance, and paid time off.

About Takanock

Founded in 2023, Takanock, LLC tackles the data center industry's core challenge of developing shovel-ready data center sites by leveraging decades of experience in site selection, power generation, energy markets and infrastructure. Takanock focuses on Tier I and Tier II markets where demand for data centers is greatest and power constraints are most acute. By bringing our own on-site generation and unlocking grid capacity where others struggle, we accelerate deployment timelines and ensure Continuity of PowerSM is dedicated to solving the most complex challenges at the intersection of the digital and energy industries.

Takanock is headquartered in Traverse City, Michigan, and through our additional offices in Fulton, Maryland and Austin, Texas, we focus on developing data center and power projects across the United States. Our expanding team brings a unique combination of technical expertise, market foresight, and regulatory knowledge. With the backing of a $500 million equity commitment, we are well positioned to support rapid growth through modern, secure, and scalable technology solutions.

Location, Salary, and Benefits

This position is to assist our Fulton, Maryland or Austin, Texas office. Takanock provides competitive compensation and benefits, including fully paid medical, dental, and vision plans through Blue Cross Blue Shield, a 401(k) plan with company contributions, profits-interest equity grants, an unlimited PTO policy, a monthly mobile phone stipend, and company-paid parking. The salary range for this position is $80,000-$95,000 per year with a target bonus of 15%

About the IT Associate Role

The IT Associate will join our Legal & Operations team and will work directly with the Senior Manager of GIS and Data Management Systems. This individual will play a key role in supporting the company's growing technology needs while ensuring operational alignment and clear communication between internal Engineering, Development, and Commercial teams, as well as hyperscale customers.

The IT Associate will help manage technical requirements, and will be responsible for day-to-day IT operations, user support, SaaS administration, and maintain Takanock's Microsoft-centric technology stack. The role will also involve working with building automation systems, reviewing technical schematics, and participating in root cause analysis for operational and technical issues.

The IT Associate offers meaningful exposure to modern cloud infrastructure, automation, and AI-assisted workflows, with potential for growth into more senior IT or systems roles as the company continues to expand.

Minimum Requirements

• Excellent problem- solving and, decision-making skills
• Strong PC skills
• Ability to learn quickly and develop new product skills independently
• Ability to manage multiple projects and shifting workloads in a growing industry and entrepreneurial environment

Experience and Skills

• Strong working knowledge of Windows 11 and the Microsoft ecosystem, including Microsoft Entra ID (Azure AD)
• A minimum of 1–3 years of experience in IT support, systems administration, or a related technical role
• Experience supporting or administering Copilot, Claude and, Copilot agents, and general knowledge of other AI tools, including user enablement, governance, and workflow integration
• Familiarity with SaaS platforms such as Airtable, including permissioning, integrations, and basic automation
• Experience supporting Adobe products (Adobe Acrobat, Creative Cloud licensing, user access, and troubleshooting)
• Basic understanding of networking, identity management, endpoint security, and MFA
• Ability to handle sensitive company and employee data with utmost discretion and confidentiality

Essential Functions & Key Responsibilities

IT Support and Operations

• Provide day-to-day technical and troubleshooting support for employees across the company's footprint, including hardware, software, and cloud services, Microsoft 365, Teams, SharePoint, Outlook, and Windows devices
• Manage onboarding and offboarding from an IT perspective, including account provisioning, device setup, and access controls
• Maintain accurate documentation of systems, procedures, and asset inventories
• Identify opportunities and solutions for automation and efficiency using Microsoft tools and connected SaaS platforms
• Administer and support Airtable bases, permissions, and integrations
• Manage Adobe licensing, access requests, and basic troubleshooting
• Coordinate with third-party vendors and managed service providers as needed

Microsoft Ecosystem Administration

• Assist with administration of Microsoft Entra ID, Microsoft 365, and related security controls
• Support device management, updates, and compliance policies
• Help configure and maintain SharePoint sites, Teams channels, and collaboration standards

Copilot, Claude and Automation Enablement

• Lead the technicalSupport deployment and adoption of Microsoft Copilot features and Copilot agents, Claude Cowork and other automation tools
• Collaborate with users in leveraging AI-powered tools to improve productivity and workflows

Security and Best Practices

• Support enforcement of security policies, including MFA, least-privilege access, and endpoint protection
• Assist with audits, access reviews, and compliance-related IT tasks
• Promote best practices for data protection, collaboration, and technology usage across the company

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking a Systems Architect, Camera and Vision Technologies to help build and scale intelligent systems that leverage visual sensing to deliver real-time awareness, automation support, and customer value in industrial environments.

The Systems Architect, Camera and Vision Technologies is responsible for defining and guiding the architecture for camera hardware, vision pipelines, and vision-enabled capabilities deployed on devices and edge platforms. This role ensures that camera and vision solutions are scalable, reliable, secure, and aligned with enterprise product and platform objectives.

The architect partners closely with product management, device and edge software teams, AI/ML teams, hardware engineering, and digital solution leaders to translate business and customer requirements into robust camera and vision foundations that enable consistent behavior, efficient lifecycle management, and high-quality user experiences.

CORE RESPONSIBILITIES

• Define and maintain reference architectures, design patterns, and standards for camera hardware, vision pipelines, and edge-based vision processing.
• Establish common approaches for camera integration, image acquisition, preprocessing, inference pipelines, and data management.
• Ensure architectural decisions support real-time operation, scalability, reliability, safety, and security.

• Drive the strategic use of camera and vision technologies to enable safety, productivity, automation, and maintenance use cases.
• Own a portion of the internal technology radar related to cameras, vision sensors, and visual analytics.
• Foster responsible, ethical, and transparent use of vision technologies aligned with privacy, cybersecurity, and safety requirements.

• Partner with product management and engineering teams to enable vision-based capabilities such as event detection, situational awareness, condition monitoring, and automation support.
• Guide architectural decisions related to camera selection, optics, illumination, environmental constraints, and edge compute limitations.
• Promote reuse and consistency of camera and vision components across products and platforms.

• Define patterns for integration between camera and vision technologies, edge AI/ML solutions, device software, hybrid mobile applications, and enterprise or cloud-based platforms.
• Ensure solutions support online, offline, and hybrid deployment models common in industrial environments.
• Promote interoperability with internal systems and approved third-party technologies.

• Define secure-by-design and safety-aligned principles for camera and vision deployment, including data protection and access controls.
• Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
• Participate in architecture and design reviews to assess risk, resilience, and compliance.

• Collaborate across product management, device and edge software, AI/ML, hardware engineering, manufacturing, service, and mobile application teams.
• Provide technical leadership, mentorship, and guidance related to camera and vision technologies.
• Serve as the technical voice for vision-based capabilities in strategic customer conversations and enterprise implementations when appropriate.

• This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams.

QUALIFICATIONS

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Computer Vision, or a related technical field required; Master's degree preferred.
• 8+ years of experience delivering camera- or vision-enabled systems, with experience deploying solutions in industrial or edge environments.
• Experience with connected, automated, or safety-critical systems preferred.

• Strong understanding of camera systems, optics, image processing, and computer vision architectures.
• Experience designing vision pipelines that balance performance, latency, accuracy, and environmental constraints.
• Ability to think systemically across cameras, sensors, edge platforms, AI/ML, mobile applications, and cloud services.
• Strong communication skills and ability to influence cross-functional stakeholders.
• Familiarity with industrial automation, safety systems, or vision-based sensing is a plus.

Leadership & Collaboration:

• Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision.
• Exceptional communicator across technical and non-technical audiences.
• Committed to data-driven decision-making and delivery excellence.

Why Join Rite-Hite Digital Solutions?

As a technology leader within a globally trusted industrial brand, you will play a pivotal role in shaping how camera and vision technologies are applied to improve safety, productivity, and automation in real-world industrial environments. Your work will directly influence how visual sensing becomes a scalable, reliable foundation for next-generation connected solutions.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

We are looking for someone who can take ownership of their IT infrastructure and help modernize the technology supporting their production operations.

This role is a great fit for someone who enjoys both strategic leadership and hands-on technical work.

You would be responsible for overseeing the company's IT systems, infrastructure, cybersecurity, and manufacturing technology environment, while also leading and developing the internal IT team.

Position Summary

• Leads the planning, implementation, maintenance, and security of all information technology systems supporting manufacturing operations.
• Ensures the reliability, performance, and security of IT infrastructure across the organization while maintaining systems that support production environments requiring high uptime and operational efficiency.
• Requires a strategic and hands-on leader capable of managing IT infrastructure, budgets, and personnel while providing technical leadership when necessary.
• Ensure IT systems effectively support production, logistics, quality, and overall operational performance.

Essential Duties and Responsibilities

• Oversee the design, implementation, and maintenance of IT infrastructure including servers, networks, cloud platforms, storage solutions, and cybersecurity systems.
• Ensure high system availability and reliability for manufacturing operations and production equipment.
• Manage network performance, system monitoring, backups, disaster recovery planning, and business continuity strategies.
• Support and maintain ERP systems, production technologies, and manufacturing systems integrated with plant operations.
• Administer data analytics and reporting platforms such as Power BI and other business intelligence tools.
• Collaborate with operations, maintenance, and engineering teams to support plant-floor technology and manufacturing systems.
• Ensure IT infrastructure supports production uptime, automation systems, robotics, and equipment connectivity.
• Provide support for warehouse management systems and logistics technologies as needed.
• Maintain compliance with cybersecurity and data security requirements applicable to automotive and manufacturing industries.
• Lead and develop IT team members through coaching, training, performance management, and succession planning.
• Provide technical guidance and mentorship to strengthen team capabilities and technical expertise.
• Promote a culture of collaboration, accountability, and continuous improvement.

Qualifications

Education

Bachelor's degree in Information Technology, Computer Science, Information Systems, or a related field preferred.

Experience

• 7+ years of progressive experience in IT, preferably within a manufacturing or industrial environment.
• 3+ years of leadership or management experience supervising IT staff or technical teams.

Technical Expertise

Strong knowledge of:

• Cloud platforms such as Azure, AWS, or similar
• Server infrastructure and virtualization technologies
• Network administration and security
• Cybersecurity frameworks and best practices
• Backup, disaster recovery, and business continuity planning
• Data analytics and reporting tools (Power BI or similar)
• ERP systems and manufacturing technologies

A MISSION WORTHY OF A CAREER!

If you’re looking for “just a job,” then stop reading right now. But, if you’re looking for a long-term federal law enforcement career, one that makes a difference every day to our country and its citizens, then the U.S. Border Patrol (USBP) would like you to take the first step to becoming an entry level Border Patrol Agent. 

USBP is hiring immediately to fill full-time,entry-level, career positions in federal law enforcement where your prior experience in public safety, security, military police or law enforcement may qualify. Train and work with an elite team of professionals whose camaraderie, pride, and sense of purpose are hallmarks of their daily mission of protecting America. 

Now is the time to make your move because, along with excellent base pay, exceptional benefits, and job stability, USBP is offering up to $60,000 in additional incentives (see details below).

Salary and Benefits

Annual base salary for newly appointed BPAs varies per grade, as follows: GL-5/GL-7 $51,632 - $92,219 per year. Border Patrol Agents are eligible to select from an array of federal employment benefits that include health, dental and other insurance plans, a generous annual and sick leave program, and participation in the Thrift Savings Plan, a retirement plan akin to a traditional ROTH 401(k) offering.

*Recruitment Incentive* Newly appointed Border Patrol Agents (as defined in 5 CFR 575.102) will be eligible for up to $20,000 in incentives. The first $10,000 will be paid upon successful completion of the Border Patrol Academy, with the remaining $10,000 awarded for accepting a prioritized location such as Sierra Blanca, Presidio, Sanderson, Comstock, Freer or Hebbronville, TX; Lordsburg, NM; or Ajo, AZ.

*Retention Incentive* Newly appointed Border Patrol Agents may also qualify for up to $40,000 in additional incentives distributed over their first four years.

Duty Locations

IMPORTANT NOTICE: Duty assignments available at the time of offer may include the Southwest Border, including prioritized locations.

U.S. Border Patrol determines duty assignments at the time of offer based on operational needs, which may or may not align with candidates’ first-choice preferences. RELOCATION MAY BE REQUIRED. 

Duty location impacts pay rates; locality pay for federal law enforcement is higher in some locations than others. A fully trained BPA may be eligible for up to an additional 25% of base pay per the BPA Pay Reform Act of 2014. This is a career ladder position with a grade level progression of GL-5, GL-7, GL-9, GS-11, and GS-12. You will be eligible for a promotion to the next higher grade level (without reapplying) once you successfully complete 52 weeks in each grade level. 

Duty Locations: You will be asked to select your preferred location for one of the following mission critical locations:

• Big Bend Sector Stations - *Presidio, Van Horn, *Sanderson, Alpine, *Sierra Blanca, Marfa

• Buffalo Sector Stations - Wellesley Island

• Del Rio Sector Stations - Del Rio, Brackettville, *Comstock, Eagle Pass North, Eagle Pass South, Carrizo Springs, Uvalde

• El Paso Sector Stations - Alamogordo, Clint, Deming, El Paso, Fort Hancock, Las Cruces, *Lordsburg, Santa Teresa, Ysleta

• El Centro Sector Stations - El Centro, Indio, Calexico

• Grand Forks Sector Stations - Pembina

• Havre Sector Stations - Havre, Malta, Plentywood, Scobey, Sweetgrass

• Houlton Sector Stations - Calais, Fort Fairfield, Jackman, Rangeley, Van Buren

• Laredo Sector Stations - Laredo South, Cotulla, *Hebbronville, Laredo West, *Freer, Laredo North, Zapata

• Rio Grande Valley Sector Stations - Rio Grande City, Fort Brown, McAllen, Brownsville, Falfurrias, Weslaco, Kingsville, Harlingen

• San Diego Sector Stations - Boulevard, Brownfield, Campo, Chula Vista, Imperial Beach, Murrieta, San Clemente

• Spokane Sector Stations - Colville, Curlew, Metaline Falls, Oroville

• Swanton Sector Stations - Beecher Falls, Burke, Champlain, Newport, Richford

• Tucson Sector Stations - *Ajo, Tucson, Nogales, Douglas, Brian A Terry, Sonoita, Casa Grande, Three Points Substation, Willcox

• Yuma Sector Stations - Blythe, Yuma, Wellton

Duties and Responsibilities

As a BPA, you will be part of our 60,000+ workforce that strives to protect the American people by safeguarding our borders, deterring illicit activity, and enhancing the nation’s economic prosperity. Being a BPA makes you a valuable member of the Federal Law Enforcement Officer (LEO) profession. 

Typical assignments include: 

• Detecting and questioning people suspected of violating immigration and custom laws and inspecting documents and possessions to determine citizenship or violations
• Preventing and apprehending undocumented noncitizens and smugglers of noncitizens at or near the borders by maintaining surveillance from covert positions to include using infrared scopes during night operations
• Interpreting and following tracks, marks, and other physical evidence of illegal entry of persons or contraband
• Performing farm checks, building checks, traffic checks, city patrols, and transportation checks
• Patrolling the international boundary and coastal waterways using a variety of government assets such as vehicles, horses, vessels, watercraft, off-road vehicles, ATVs, snowmobiles, and motorcycles for the accomplishment of the USBP Mission.

Qualifications

You qualify for the GL-5 grade level if you possess one of the following: 

Experience: One (1) year of general work experience that demonstrates the ability to take charge, make sound decisions, and maintain composure in stressful situations; to learn regulations, methods, and techniques through classroom training and/or on-the-job instruction; and the ability to gather concise information through questioning, observation, and examination of documents and records; OR 

Education Substitution: A bachelor's degree or successful completion of a full four-year course of study in any field leading to a bachelor's degree from an accredited college or university; OR 

Combination of Experience and Education: A combination of general work experience AND successfully completed college education. This will be calculated using your resume and official or unofficial transcripts submitted with your application. 

You qualify for the GL-7 grade level if you possess one of the following: 

Experience: One year of specialized work experience that shows you have the skills necessary to: 

• Make sound judgments and decisions in the use of firearms.
• Deal effectively with people in a courteous and tactful manner in connection with law enforcement matters.
• Analyze information rapidly and make prompt decisions where you will be expected to make arrests after the completion of required training and apply these skills in a law enforcement capacity such as criminal code enforcement, determining violations of laws, correctional or rehabilitation work involving criminal offenders, security, military, etc.

The above experience will be applied in connection with the following: Make arrests and exercise sound judgment in the use of firearms; deal effectively with people in a courteous manner in connection with law enforcement matters; analyze information rapidly and make prompt decisions; or develop and maintain contact with a network of informants.

Education Substitution for the GL-7 grade level: A bachelor's degree with superior academic achievement, which is based on (1) class standing, (2) grade-point average (i.e., GPA of 3.0 or higher out of a possible 4.0), or (3) honor society membership. Or will receive a bachelor's degree with Superior Academic Achievement. Or one full year of graduate-level education in a field of study related to law enforcement (e.g., criminal justice, homeland security, justice studies, law enforcement, courts and judicial systems, forensic technology, forensic psychology, or corrections and rehabilitation) from an accredited college or university; OR 

A Combination of Experience and Education: This will be calculated using your resume and official or unofficial transcripts submitted with your application. 

Note: If you have previous or current law enforcement or military law enforcement experience, you may qualify at the GL-9 and or GS-11 grade level. Please refer to the BPA GL-9 - 11 announcement.

Other Requirements

Citizenship: You must be a U.S. Citizen to apply for this position. 

Residency: You must have had primary U.S. residency (includes protectorates as declared under international law) for at least three of the last five years. 

Age Restriction: In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions. Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03. The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military)