developer experience engineer

Procore Technologies

<div>
 We&rsquo;re looking for a
 
 Staff Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology Team. The Agentic Foundation team treats AI adoption as an internal product, building and operating the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. This position requires developer productivity experience to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 Procore software solutions aim to improve the lives of everyone in construction and the people within Product &amp; Technology are the driving force behind our innovative, top-rated global platform. We&rsquo;re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
 
 
 This role reports to a Senior Manager, Software Engineering and we&rsquo;re looking for someone to join us immediately.
 
 Apply now!
 
 
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction
 </li>
 <li>
 Own the technical vision and architectural strategy for Procore's agentic developer platform &mdash; setting the direction for how AI is integrated natively across the full software development lifecycle, from code generation and review through testing, deployment, and observability.
 </li>
 <li>
 Author and drive adoption of architectural RFCs and technical design documents that establish org-wide platform contracts, integration patterns, and engineering standards for teams you don't directly work with.
 </li>
 <li>
 Conduct thorough, constructive code reviews and pair with teammates to elevate code quality and knowledge-sharing across the team.
 </li>
 <li>
 Anticipate second- and third-order consequences of platform decisions; design systems that remain extensible as Procore's agentic capabilities evolve.
 </li>
 <li>
 Collaborate with infrastructure, platform, and product engineering teams to align on shared standards and avoid duplicated effort.
 </li>
 <li>
 Bring strong opinions, loosely held &mdash; propose ideas clearly, pressure-test them with the team, and adapt based on feedback.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Focus on metrics and observability: We intend to become an elite performer in the software industry, and we can only do this if we learn and adapt quickly. We need telemetry from our agentic software delivery systems from which to continually learn how to improve our lead time for changes, our change failure rate, and our mean time to recover from failure.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;re looking for:
 
 
 
 
 <ul>
 <li>
 8+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Proven proficiency with AI-native developer tooling &mdash; you have integrated LLM-powered systems into engineering workflows (code review, test generation, agentic pipelines, or similar) and can lead Procore's strategy in this space from day one.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling &mdash; LLM-assisted code review, agentic test generation, AI-powered incident triage, or similar.
 </li>
 <li>
 Experience with LLM evaluation frameworks (benchmarks, evals, quality scoring) for assessing tool effectiveness.
 </li>
 <li>
 Experience building MCPs, MCP Gateway, or AI/LLM Gateways.
 </li>
 <li>
 Familiarity of how AI Agents and LLMs work under the hood.
 </li>
 <li>
 Experience working in Developer Platform, DevOps or Developer Experience teams.
 </li>
 <li>
 Strong fundamentals in at least one of: Ruby on Rails, Python or TypeScript; comfort reading and contributing across multiple languages.
 </li>
 <li>
 Solid DevOps instincts: you understand deployment strategies, rollback mechanisms, feature flags, and what 'safe to deploy' actually means in a high-scale environment.
 </li>
 <li>
 Expert-level fluency in software delivery observability: DORA metrics, distributed tracing, SLO/SLA design, and building feedback loops that drive measurable improvement.
 </li>
 <li>
 Track record of mentoring senior engineers and raising the technical bar of those around you &mdash; not just executing at a high level yourself.
 </li>
 <li>
 Comfort navigating organizational ambiguity: you can drive clarity, build consensus, and maintain momentum on long-horizon initiatives without close direction.
 </li>
 </ul>
</div>

Staff Software Engineer - Agentic Foundation

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology team. In this role, you&rsquo;ll build and operate the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. The primary goal of this role is to treat AI adoption as an internal product, empowering engineering teams to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 As a Senior Software Engineer - Agentic Foundation, you&rsquo;ll partner with engineering, product, product design, data, security, and business systems teams to design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle. Use your backend systems depth, DevOps instincts, and hands-on AI workflow expertise to accelerate developer productivity and shape the agentic future of construction software. Shape the cutting-edge future of AI-driven developer platforms &mdash; join us today!
 
 
 This position reports into a Senior Manager, Software Engineering and will be based in our Cairo, Egypt office. We&rsquo;re looking for someone to join us immediately.
 
 
 
 What you&rsquo;ll do:
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
 </li>
 <li>
 Design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle &mdash; from code generation and review to test orchestration and deployment.
 </li>
 <li>
 Build the feedback loop between AI tool usage and engineering outcomes by instrumenting how agentic workflows impact cycle time, change failure rate, and developer throughput.
 </li>
 <li>
 Evaluate and integrate AI tools and frameworks into Procore's supported agentic tooling suite, making build-vs-buy decisions grounded in real usage and team feedback.
 </li>
 <li>
 Vet community-built skills and tools contributed by engineers across the organization, define evaluation criteria, and promote successful solutions into the officially supported tooling suite.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Master generative tools and agentic workflows to actively build the automated future of construction software.
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 Strong technical fundamentals in at least one of the following: Ruby on Rails, Python, or TypeScript, alongside comfort reading and contributing across multiple languages.
 </li>
 <li>
 Hands-on experience with AI coding tools (e.g., Claude, Cursor, Copilot) and building or customizing AI-assisted workflows (e.g., prompt engineering, MCP integrations, evals, or agentic pipelines).
 </li>
 <li>
 Solid DevOps instincts regarding deployment strategies, rollback mechanisms, feature flags, Kubernetes service operation, and CI/CD pipeline management.
 </li>
 <li>
 Adaptable and experimental characteristic mindset with the ability to explore uncharted territory, evaluate fast-moving AI technologies critically, and distinguish proven solutions from trends.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling, LLM evaluation frameworks, or AI/LLM Gateways (such as MCPs or MCP Gateways) is highly preferred.
 </li>
 <li>
 Familiarity with how AI Agents and LLMs work under the hood, or previous experience working within Developer Platform, DevOps, or Developer Experience teams is a plus.
 </li>
 </ul>
</div>

Senior Software Engineer, Agentic Foundation

Kentan Staffing Solutions

<div><div><h1 class="jobSectionHeader">Founding Software Engineer
</h1>Location: New York, NY (Onsite)
Employment Type: Full-Time | Direct Hire
Compensation: $200,000&ndash;$220,000 Base Salary + Equity (Competitive Benefits)
Interview Process: 3 Interviews
<h2 class="jobSectionHeader">Position Overview
</h2>Our client, a rapidly growing AI startup revolutionizing the insurance industry, is seeking a Founding Software Engineer to join its core Engineering team. This is a unique opportunity to become an early engineering hire, helping build the platform that powers enterprise AI agents used by some of the world's largest insurance carriers.
This role is ideal for an experienced software engineer who thrives in early-stage startup environments and enjoys solving complex distributed systems challenges. You'll play a foundational role in designing scalable infrastructure, developing AI-powered platforms, and building the engineering systems that enable rapid product innovation.
The ideal candidate is highly autonomous, technically exceptional, and excited by the opportunity to own critical systems from architecture through production. Culture fit is extremely important&mdash;the team values individuals who are personable, collaborative, scrappy, and capable of moving quickly with minimal direction.
<h2 class="jobSectionHeader">Key Responsibilities
</h2><ul><li>Design, build, and maintain the core platform powering AI agents across the organization.
</li><li>Develop highly scalable backend services and infrastructure using TypeScript, SQL, and modern cloud technologies.
</li><li>Build and optimize agent orchestration, execution platforms, and developer tooling.
</li><li>Design resilient distributed systems with fault tolerance, observability, retries, and graceful degradation.
</li><li>Develop internal platforms that improve engineering productivity, CI/CD pipelines, and automation workflows.
</li><li>Partner closely with Forward Deployed Engineers to rapidly transform customer feedback into production-ready features.
</li><li>Write technical specifications, review architecture, and deliver high-quality production code.
</li><li>Improve platform reliability, performance, security, and scalability while supporting rapid company growth.
</li><li>Contribute to engineering best practices, code reviews, and long-term platform strategy.
</li></ul><h2 class="jobSectionHeader">Required Qualifications
</h2><ul><li>4+ years of experience building production software in a Software Engineer, Backend Engineer, or Platform Engineer role.
</li><li>Strong programming experience with TypeScript and SQL .
</li><li>Experience designing and building scalable backend systems and distributed applications.
</li><li>Strong understanding of system architecture, APIs, databases, and cloud infrastructure.
</li><li>Experience building highly reliable systems with monitoring, observability, retries, circuit breakers, and fault tolerance.
</li><li>Experience working in regulated or security-conscious environments with strong auditing and compliance requirements.
</li><li>Self-starter with exceptional problem-solving skills and the ability to work independently in a fast-paced startup environment.
</li><li>Must be located in or willing to relocate to New York City.
</li></ul><h2 class="jobSectionHeader">Preferred Qualifications
</h2><ul><li>Experience building AI, LLM, or agent-based platforms.
</li><li>Experience with developer platforms, CI/CD automation, and internal engineering tooling.
</li><li>Background building high-performance distributed systems or infrastructure platforms.
</li><li>Experience working in high-growth startups or founding engineering teams.
</li><li>Familiarity with cloud-native architecture, containerization, and modern DevOps practices.
</li></ul><h2 class="jobSectionHeader">What We're Looking For
</h2><ul><li>Highly autonomous engineer who takes full ownership from concept to production.
</li><li>Scrappy, resourceful, and thrives in ambiguous, fast-moving environments.
</li><li>Strong technical leader with a builder's mindset and passion for creating scalable systems.
</li><li>Collaborative team player who enjoys working closely with product, engineering, and customer-facing teams.
</li><li>Passionate about leveraging AI to solve complex, real-world business challenges.
</li></ul>This is an exceptional opportunity to join a venture-backed AI startup at an early stage, working alongside an elite engineering team to build the next generation of autonomous AI systems while making a significant impact on both the product and the future direction of the company.</div></div>

Founding Software Engineer

NVIDIA

<div>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people. Today, we&rsquo;re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Are you a software developer, deep learning engineer, or scientist excited to collaborate with developers? NVIDIA is looking for a Technical Marketing Engineer (TME) to communicate the latest advancements in our AI Platform Software to the developer and user community. The AI Platform Software team manages the complete high-performance AI software stack: core kernel and communication libraries such as cuDNN and NCCL, open training platforms like PyTorch, and Megatron, and accelerated inference platforms such as TensorRT-LLM and Dynamo. This role works closely with product, engineering, and marketing teams to develop key technical content that guides developers how to use NVIDIA's AI platforms. Examples include technical blog posts, user guides, walk-throughs, demonstrations, benchmarks, and more. We seek a candidate who has trained a model, optimized an inference server, or debugged a multi-GPU job&mdash;and who is eager to share their expertise with others. You will review the stack before release and often be the first outside the engineering team to fully understand it. You'll be part of a collaborative group of TMEs, product managers, and developer advocates committed to delivering the best AI software platform for our developer community.
What you'll be doing:<ul><li>
Investigating new training and inference features while assessing them from a developer's point of view. Writing blog posts, guides, and reference examples that developers can use.</li><li>
Collaborating with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content.</li><li>
Being the champion for AI among NVIDIA developers by directly engaging with our developer community.</li><li>
Improving product documentation to be clear for developers and their agents.</li><li>
Growing the value of our software by bringing community and customer feedback back to our product and engineering teams.</li><li>
Providing guidance to deep learning developers by building code samples and proof of concept applications.</li><li>
Benchmarking and generating data for positioning NVIDIA's inference platforms as the lowest cost-per-watt.</li></ul>
What We Need to See:<ul><li>
Bachelor's degree in Computer Science, Computer Engineering, or similar field or equivalent experience.</li><li>
4+ years of practical experience in deep learning or machine learning, including research conducted during undergraduate and graduate studies.</li><li>
Hands-on experience with at least one training or inference framework such as PyTorch, JAX, Megatron, TensorRT-LLM, vLLM, SGLang, or comparable tools.</li><li>
Solid understanding of Python or C/C++, programming techniques, and software development.</li><li>
Something you have written or built for a technical audience that we can engage with: a blog post, tutorial, documentation set, conference talk, thesis chapter, or public repository.</li><li>
Passion for presenting to technical audiences and crafting content for developers.</li><li>
Prior success in balancing multiple projects at a time.</li></ul>
Ways to Stand Out from the Crowd:<ul><li>
Advanced knowledge of modern LLM and AI software architecture: attention kernels, parallelism strategies, quantization, KV cache management, and request scheduling.</li><li>
Sustained contributions to publicly accessible AI projects or developer forums.</li><li>
Experience running, tuning, or interpreting benchmarks on multi-GPU systems.</li><li>
Experience explaining a system you did not build to people who need to use it tomorrow.</li></ul>
Widely considered to be one of the technology world&rsquo;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until August 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div>

Technical Marketing Engineer - AI Platform Software

BV Teck

<div>Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: Real-Time Data Engineer 
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $135,000&ndash;$160,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary: 
We are seeking an experienced Real-time Data Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads. In this role you will own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement. The ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices, and will partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform. In this role you will work closely with cross-functional partners &mdash; product, design, engineering, operations, and business stakeholders &mdash; to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. 
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical discipline.</li><li>
Five or more years of experience operating Apache Kafka or Confluent Platform in production.</li><li>
Deep, hands-on knowledge of Kafka internals (partitions, replication, ISRs, consumer groups).</li><li>
Strong experience with Kafka security (SASL, mTLS, ACLs, RBAC).</li><li>
Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB.</li><li>
Experience with HA/DR strategies for Kafka.</li><li>
Strong scripting skills in Python, Bash, or Go.</li><li>
Hands-on experience with infrastructure-as-code (Terraform, Ansible).</li><li>
Working knowledge of observability tooling for Kafka.</li><li>
Excellent troubleshooting, communication, and documentation skills.</li></ul> 

Preferred Qualifications<ul><li>
Confluent Certified Administrator or Developer credentials.</li><li>
Experience operating Kafka on Kubernetes (Strimzi, Confluent Operator).</li><li>
Exposure to managed Kafka services (AWS MSK, Azure Event Hubs Kafka API).</li><li>
Familiarity with stream processing frameworks (Flink, Spark Streaming).</li><li>
Experience with data governance and lineage for streaming data.</li></ul> 

How to Apply 
 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
MYPw2YmomM</div>

Real-Time Data Engineer

American business solutions inc

<div>Client is seeking an experienced AI Engineer, with expertise in 
context engineering and agent design who will develop AI solutions in Microsoft 
and Google ecosystems. Responsibilities include building conversational agents, 
integrating with natural language processing or generative AI, and agents/ 
virtual assistants to software applications. AI Engineer is responsible for 
designing and delivering data access through APIs and ensuring that these 
solutions are securely deployed. 
 
 
Responsibilities include: 
 
 
 
 
 
<ul><li>Developing applications</li></ul>
that interact with web services, APIs, and other software applications. 
 
 
<ul><li></li></ul>
Designing the overall structure of Agentic 
AI solutions, including determining necessary features, user flow, API 
development and integration with other systems. Requires understanding of API design principles and specific 
constraints of AI service interfaces. 
 
 
<ul><li></li></ul>
Implementing and tuning Natural 
Language Processing techniques to improve AI assistants&rsquo; understanding and 
response accuracy. 
 
 
<ul><li></li></ul>
Training and deploying AI models, 
and monitoring solution performance by creating and utilizing Dashboards. 
 
 
<ul><li></li></ul>
Creating custom indexes, managing 
data sources, and tuning intent matches to improve accuracy and relevance of 
results within the AI solution context. 
 
 
<ul><li></li></ul>
Designing conversational flows that 
provide a seamless and intuitive user experience, with strong focus on making 
the agent interactions as human-like and engaging as possible. 
 
 
<ul><li></li></ul>
Analyzing agent interaction data to 
identify patterns, trends, and areas for improvement. Preparing reports on agent 
performance metrics. 
 
 
<ul><li></li></ul>
Identifying and resolving issues 
related to agent performance, including debugging and updating the system as 
necessary. 
 
 
<ul><li></li></ul>
Ensuring the AI agent/ 
conversational assistant complies with data privacy laws and maintaining high 
standards of security, especially when handling sensitive user data. 
 
 
<ul><li></li></ul>
Working effectively with 
cross-functional teams, including business analysts, UX designers, project 
managers, and business customers and business SMEs from across the enterprise. 
Good communication skills are essential. 
 
 
 
 
 
<ul><li></li></ul>
Collaborating 
effectively with Automation Center of Excellence (CoE) team members, incorporating 
the established standards; adhering to organization process and ensuring that 
solutions align with target architectures and technology roadmaps. 
 
 
<ul><li></li></ul>
Ensuring 
that AI systems operate safely, transparently and within acceptable boundaries 
in alignment with the organization&rsquo;s governance policies and practices. 
 
<ul><li></li></ul>
Planning, initiating and spearheading 
proof of concept (POC) initiatives using emerging technologies. 
 
 
<ul><li></li></ul>
Technical writing leveraging tools 
such as Word, PowerPoint, Visio, SharePoint, and Excel to develop presentations 
and white papers. 
 
 
Skills and Credentials: 
 
<ul><li></li></ul>
Extensive knowledge and experience developing AI agents/ virtual 
assistants using Microsoft Foundry with Azure services like Azure AI Search, 
and Azure AI Language Service, Microsoft Power Platform and Microsoft CoPilot 
Studio. 
 
<ul><li></li></ul>
Ability to integrate chatbots with various Microsoft services (such as 
Office 365, SharePoint) and third-party APIs to enhance functionality. 
 
<ul><li></li></ul>
Ability to develop AI Conversation agents using Google tools such as CX 
Agent Studio, Google Conversational Agents, Google Dialogflow CX, and(/or) 
Google CCAI Services. 
 
 
<ul><li></li></ul>
Experience in creating Enterprise Looker Dashboards for monitoring performance 
of implemented AI Agents is required. 
 
<ul><li></li></ul>
Deep understanding 
of API design principles and specific constraints of AI service interfaces. 
 
<ul><li></li></ul>
Strong programming skills in languages such as C#, .NET, JavaScript, or 
Python. Experience in developing, testing, and deploying chatbot applications. 
 
 
<ul><li></li></ul>
Ability to facilitate and lead discussions with business SME&rsquo;s 
 
 
<ul><li></li></ul>
Ability to create and present Ai solution proposals and communicate 
both business and technical concepts. 
 
<ul><li></li></ul>
Ability to lead and conduct emerging technology analysis and conduct 
proof of concept initiatives. 
 
<ul><li></li></ul>
Experience in training and deploying AI models. 
 
<ul><li></li></ul>
Experience in leading efforts to create technology solutions and 
architectures impacting critical areas of the business. 
 
<ul><li></li></ul>
Ability to establish and maintain a high-level of customer trust and 
confidence. 
 
<ul><li></li></ul>
Ability to think critically and solve problems. 
 
<ul><li></li></ul>
Strong consultative skills at a cross-functional level. 
 
 
Experience 
 
<ul><li></li></ul>
Bachelor&rsquo;s degree in computer science, Information systems or related 
discipline, or equivalent and extensive related project experience; Master&rsquo;s 
degree preferred. 
 
<ul><li></li></ul>
Five years of experience in IT, with at least 2 years AI Conversational 
Agents implementation experience using Microsoft and google ecosystems and at 
least one year Power Platform experience. 
 
<ul><li></li></ul>
Agentic AI Developer Experience using Microsoft Foundry is mandatory. 
 
<ul><li></li></ul>
Experience developing and maintaining SharePoint online solutions using 
MS Power Platform mandatory. 
 
<ul><li></li></ul>
Agentic AI Developer Experience using Google conversational agents, Dialogflow 
CX with focus on Google CCAI Services is mandatory. 
 
<ul><li></li></ul>
Minimum of five years of hands-on design and implementation experience 
in IT, with knowledge in a minimum of two of the following technical 
disciplines: 
 
 
o 
Application 
development 
 
 
o 
Network design 
 
 
o 
Middleware 
 
 
o 
Servers and 
storage 
 
 
o 
Database 
management 
 
 
o 
Operations 
 
 
o 
Artificial 
intelligence and machine learning fundamentals 
 
 
o 
Natural language 
processing (NLP) and large language model (LLM) integration
<h5 class="jobSectionHeader">Required/Desired Skills</h5>
Skill Required/Desired Amount of Experience Bachelor&rsquo;s degree in computer science, Information systems or related discipline or equivalent and extensive related project experience; Master&rsquo;s pref Required Five years of experience in IT, with at least 2 years AI Conversational Agents implementation experience using Microsoft and google ecosystems Required 5.0 Years Power Platform experience. Required 1.0 Years Agentic AI Developer Experience using Microsoft Foundry is mandatory Required Experience developing and maintaining SharePoint online solutions using MS Power Platform mandatory. Required Agentic AI Developer Experience using Google conversational agents, Dialogflow CX with focus on Google CCAI Services is mandatory Required</div>

Agentic AI Developer

McAfee

<div>Role Overview: The Senior DevOps Engineer is responsible for building and operating production-scale platform engineering capabilities on Kubernetes (Amazon EKS/GKE), with a strong focus on reliability, scalability, and developer productivity. 
This is a highly hands-on role focused on implementing and enhancing cloud-native platforms, CI/CD systems, developer platforms (Backstage), and secure software delivery practices. The role works closely with platform, SRE, and engineering teams to improve system reliability and engineering efficiency. 
The ideal candidate has strong expertise in cloud-native technologies, enterprise CI/CD, and large-scale production environments. 
This is a Hybrid Position located in Frisco, TX. We are only considering candidates within a commutable distance to the Frisco office. You will be required to be onsite on an as-needed basis; when not working onsite, you will work from your home office. Position Details:

About the Role:<ul><li>
Design, implement, and operate large-scale Kubernetes platforms (EKS/GKE), including multi-region deployments for high availability and scalability.</li><li>
Manage Kubernetes cluster lifecycle including provisioning, upgrades, patching, scaling, &amp; BCP/DR.</li><li>
Build and enhance CI/CD pipelines using GitHub Actions, and Harness to improve deployment efficiency and reliability.</li><li>
Design, build, and operate EKS clusters with technologies such as Karpenter, Cilium, Istio/Envoy, and IRSA/Pod Identity.</li><li>
Contributes to the implementation and adoption of Backstage as a developer platform, including templates, scaffolding workflows, and service catalog.</li><li>
Build reusable Infrastructure as Code (Terraform) modules and platform automation frameworks.</li><li>
Implement AI-driven capabilities such as deployment risk analysis, anomaly detection, and pipeline insights (where applicable).</li><li>
Develop strategies for upgrades and patching with minimal downtime and operational risk.</li><li>
Support platform security posture by implementing DevSecOps practices and secure software supply chain controls.</li><li>
Define and contribute to platform observability, including metrics, logs, traces, and operational dashboards.</li><li>
Define SLIs/SLOs and platform health metrics.</li><li>
Participate in incident response, root cause analysis, and reliability improvement initiatives.</li><li>
Collaborate with cross-functional teams to improve developer experience, platform adoption, and operational efficiency.</li></ul>
About You:<ul><li>
5+ years in DevOps / Platform Engineering with strong hands-on experience in Kubernetes (EKS/GKE) at production scale.</li><li>
Proficient in Terraform and CI/CD pipelines (GitHub Actions, Jenkins, Harness) with focus on automation, reliability, and scalability.</li><li>
Strong programming skills in Golang or Python and solid understanding of Kubernetes networking, RBAC, and autoscaling.</li><li>
Hands-on experience with Backstage developer platform, including software templates, scaffolding workflows, and service catalog.</li><li>
Ability to build and contribute to golden paths and reusable developer workflows to improve engineering productivity and adoption.</li><li>
Experience working across multi-cloud environments (AWS + GCP) and understanding cross-cloud deployment patterns.</li><li>
Experience with service mesh (Istio / Envoy), Cilium, and API gateways (Envoy Gateway, Kong).</li><li>
Familiarity with JFrog Artifactory / Curation or similar artifact governance tools.</li><li>
Understanding of Apache Kafka architecture and operations.</li><li>
Exposure to AI-powered DevOps / AIOps solutions for deployment insights and automation.</li><li>
Experience implementing DevSecOps practices and securing software supply chains within CI/CD pipelines.</li><li>
Strong communication, collaboration, and technical documentation skills.</li><li>
Contributions to CNCF ecosystem or Backstage OSS are a plus.</li><li>
Cloud architecture certifications (AWS/GCP Solutions Architect) is a plus.</li><li>
Kubernetes certifications (CKA, CKAD, CKS) is a plus.</li><li>
DevOps &amp; Infrastructure: HashiCorp Terraform Associate or equivalent CI/CD certificate is a plus.</li></ul>
#LI-Hybrid
Company Overview: McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users&rsquo; needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:<ul><li>
Bonus Program</li><li>
401k Retirement</li><li>
Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage</li><li>
Paid Parental Leave</li><li>
Support and Community Involvement</li><li>
14 Paid Company Holidays</li><li>
Unlimited Paid Time Off for Exempt Employees</li><li>
96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year</li></ul>
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Pay Range: The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/Yr. depending on experience and qualifications. Job Applicant Privacy Notice: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.</div>

Sr. DevOps Engineer

Search 10000+ Developer experience engineer jobs near you this August. New roles added regularly across leading industries. Apply today.