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Salaried Datapower Jobs (NOW HIRING)

Kong AI Gateway Engineer

Fort Mill, SC · On-site +1

$101K - $169K/yr

Experience with Google Apigee, IBM API Connect, or IBM DataPower * Experience supporting shared ... salary varies based on factors, including but not limited to, relevant skill, prior experience ...

Test Development Engineer

Maynard, MA · On-site

$122K - $172K/yr

Experience with statistical analysis tools such as JMP, Data Conductor, DataPower, or Power BI ... The starting salary range posted for this position is $122,000.00 to $172,100.00 and reflects the ...

Test Development Engineer

Maynard, MA · On-site

$122K - $172K/yr

Experience with statistical analysis tools such as JMP, Data Conductor, DataPower, or Power BI ... The starting salary range posted for this position is $122,000.00 to $172,100.00 and reflects the ...

Kong AI Gateway Engineer

Austin, TX · On-site +1

$101K - $169K/yr

Experience with Google Apigee, IBM API Connect, or IBM DataPower * Experience supporting shared ... salary varies based on factors, including but not limited to, relevant skill, prior experience ...

Infrastructure Architect

Irving, TX · On-site

$63.50 - $81.25/hr

Gateway Integration APIm DataPower NGINX NetScaler and PSG o Analytics Big Data Cognos Hadoop Spark ... salary target for the position across all US locations. Within the range, individual pay is ...

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Salaried Datapower information

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$40

$58

$66

How much do salaried datapower jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for salaried datapower in the United States is $58.05, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $64.66 per hour, depending on experience, location, and employer.

What is the difference between Salaried Datapower vs Salaried Data Analyst?

AspectSalaried DatapowerSalaried Data Analyst
Required CredentialsIT certifications, such as IBM DataPower certifications, and technical skillsBachelor's degree in data science, statistics, or related field; often certifications like Microsoft or SAS
Work EnvironmentIT departments, data centers, or cloud environments focusing on security and data integrationOffice settings, analyzing data sets, creating reports, and supporting business decisions
Employer & Industry UsageTech companies, financial institutions, and enterprises using IBM DataPower appliancesBusiness sectors like finance, marketing, healthcare, and retail

While Salaried Datapower roles focus on managing IBM DataPower appliances and security infrastructure, Salaried Data Analysts primarily analyze data to inform business strategies. Both roles require technical skills but differ in their focus and work environment.

How does a Salaried DataPower specialist typically collaborate with development and operations teams in an enterprise environment?

A Salaried DataPower specialist works closely with both development and operations teams to ensure secure, scalable, and efficient integration solutions. They play a pivotal role in designing, implementing, and troubleshooting DataPower appliances, often acting as the bridge between application developers and network/security engineers. Collaboration usually involves participating in architecture reviews, supporting deployment pipelines, and providing guidance on best practices for API management and security policies. Effective communication and a proactive approach to problem-solving are essential for success in this role.

What are Salaried Datapower positions?

Salaried Datapower positions typically refer to full-time roles specializing in IBM DataPower Gateway appliances. Professionals in these roles are responsible for configuring, managing, and optimizing DataPower devices to ensure secure and efficient integration between applications and services. Their duties may include troubleshooting, implementing security policies, and supporting enterprise messaging or API management. These positions are salaried, offering stable compensation and benefits, and are often found in organizations with complex IT infrastructure.

What are the key skills and qualifications needed to thrive as a Datapower Engineer, and why are they important?

To thrive as a Datapower Engineer, you need a solid understanding of XML, XSLT, security protocols, and enterprise integration, typically backed by a degree in computer science or related experience. Familiarity with IBM DataPower Gateway appliances, API management tools, and relevant certifications such as IBM Certified Solution Implementer for DataPower are highly valued. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These competencies ensure secure, efficient integration and management of enterprise applications and data flows.
What cities are hiring for Salaried Datapower jobs? Cities with the most Salaried Datapower job openings:
What are the most commonly searched types of Datapower jobs? The most popular types of Datapower jobs are:
What states have the most Salaried Datapower jobs? States with the most job openings for Salaried Datapower jobs include:
What job categories do people searching Salaried Datapower jobs look for? The top searched job categories for Salaried Datapower jobs are:
Infographic showing various Salaried Datapower job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Hybrid job distribution, with an average salary of $120,750 per year, or $58.1 per hour.
Kong AI Gateway Engineer

Kong AI Gateway Engineer

LPL Financial

Fort Mill, SC • On-site, Remote

$101K - $169K/yr

Full-time

Medical, Retirement, PTO

Posted 7 hours ago


LPL Financial rating

7.4

Company rating: 7.4 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

115th of 138 rated financial services


Job description

Where Ambition Meets Innovation

Build a career that matches all your initiative with an impressive dose of innovation. From cuttingedge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

Join us in building the AI integration foundation for the enterprise. This role offers the opportunity to work at the intersection of software engineering, API gateways, and AI/LLM enablement-helping teams across the organization securely and reliably route AI and MCP traffic at scale.

As a Senior Engineer on the Middleware team, you will play a key role in evolving our Kong AI Gateway platform, supporting enterprise adoption of AI capabilities, and enabling development teams through well-designed patterns, tooling, and documentation.

Job Overview

The Middleware team is responsible for the operational reliability, extensibility, and evolution of the Kong AI Gateway platform. This Senior Engineer role is an individual contributor position focused on designing, building, and maintaining gateway capabilities that support AI/LLM integrations across the enterprise.

You will collaborate closely with Product and Technology partners, contribute hands-on engineering work, and help define reusable solutions that make AI integrations easier, safer, and more scalable for internal teams.

Responsibilities

  • Collaborate with Product and Technology teams to maximize the value delivered by the Kong AI Gateway platform

  • Build, enhance, and maintain Kong gateway capabilities supporting MCP and LLM traffic

  • Design and develop Kong plugins for authentication, rate limiting (including token-based throttling), logging, and request/response transformation

  • Develop internal tools and solutions that improve how teams integrate AI capabilities across the organization

  • Maintain platform health through upgrades, configuration management, and operational best practices

  • Write and maintain technical documentation and knowledge base articles to support platform adoption and usage

  • Contribute to reusable patterns and reference implementations that enable consistent onboarding across teams

What Are We Looking For?

We're looking for a curious, detailoriented technologist who enjoys learning how complex systems work and collaborating across teams. You bring a strong analytical mindset, solid technical fundamentals, and a desire to grow your impact in platform and architecturefocused work

Required Qualifications

  • 6+ years of relevant software development experience

  • 2+ years experience implementing Kong API Gateway and/or AI Gateway solutions in enterprise environments

  • 6+ years experience with APIs, containers, and microservices architectures

  • 6+ years experience with application development using multiple programming languages

  • Bachelor's degree in Computer Science, a related field, or equivalent practical experience

Preferred Qualifications

  • Experience with Google Apigee, IBM API Connect, or IBM DataPower

  • Experience supporting shared platforms used by multiple development teams

  • Familiarity with enterprise security, governance, and compliance considerations for API platforms

Core Competencies

  • Systems thinking and platform-oriented design

  • Clear technical communication across engineering and non-engineering audiences

  • Problem-solving mindset with a focus on scalable solutions

  • Continuous learning and adaptability in evolving AI and platform ecosystems


Pay Range:

$101,970.00 - $169,950.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

Company Overview:

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.


At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.


For further information about LPL, please visit www.lpl.com.


Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.


Information on Interviews:

LPL will only communicate with a job applicant directly from an@lplfinancial.comemail address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at(855) 575-6947.


EAC 5.19.26


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