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Openshift Developer Jobs in Austin, TX (NOW HIRING)

Frost Bank

Software Engineer III - Open Banking

Austin, TX · On-site

$57 - $76.50/hr

If so, being a Software Engineer III at Frost could be the job for you. At Frost, it's about more ... Experience with containerization and orchestration using Docker, Kubernetes, or OpenShift.

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Openshift Developer information

See Austin, TX salary details

$48.1K

$114.8K

$166.8K

How much do openshift developer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for openshift developer in Austin, TX is $114,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $131,479.00 per year, depending on experience, location, and employer.

What is an OpenShift developer?

An OpenShift Developer is a software professional who designs, builds, deploys, and manages applications on the OpenShift platform. OpenShift is a Kubernetes-based container platform developed by Red Hat, enabling developers to automate deployment, scaling, and management of containerized applications. OpenShift Developers use tools and best practices to create cloud-native applications, integrate CI/CD pipelines, and ensure that applications run efficiently in a containerized environment. They often work closely with DevOps teams to streamline development and operations within cloud or hybrid infrastructures.

What are the key skills and qualifications needed to thrive as an OpenShift developer?

To thrive as an OpenShift Developer, you need strong knowledge of containerization, Kubernetes orchestration, cloud-native application development, and programming skills in languages such as Java, Python, or Go. Familiarity with Red Hat OpenShift, CI/CD pipelines, Docker, and relevant certifications like Red Hat Certified Specialist in OpenShift Administration are highly valued. Effective problem-solving, collaboration, and communication skills help navigate cross-functional teams and complex deployment environments. These competencies are crucial for delivering scalable, resilient solutions and ensuring smooth application lifecycle management in modern DevOps settings.

What are some common challenges OpenShift developers face when deploying applications in a production environment?

Openshift Developers often encounter challenges such as managing resource allocation for scalable deployments, integrating CI/CD pipelines, and ensuring application security within containerized environments. Troubleshooting network configurations and persistent storage can also be complex, especially when dealing with multi-tenant clusters or hybrid cloud setups. Collaborating closely with DevOps and security teams is crucial to address these challenges effectively and maintain smooth application delivery.

What are popular job titles related to Openshift Developer jobs in Austin, TX?

For Openshift Developer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Openshift Developer jobs in Austin, TX look for?

The top searched job categories for Openshift Developer jobs in Austin, TX are:

Openshift Developer jobs near you
Infographic showing various Openshift Developer job openings in Austin, TX as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $114,804 per year, or $55.2 per hour.

Staff Software Engineer - Agentic AI Platform

Cloudera, Inc.

Austin, TX • On-site

Full-time

PTO

Posted 13 days ago

Job description

Business Area:
Engineering
Seniority Level:
Mid-Senior level
Job Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.
Our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.
Join Cloudera's Machine Learning Platform team as a Staff Software Engineer. You will be a core technical leader responsible for designing, building, and delivering our next-generation AI and MLOps platform. You will design, build, and deliver an enterprise-grade platform enabling enterprises to create, deploy, and orchestrate agentic applications and multi-agent platforms using foundation models with enterprise data at scale in a hybrid cloud environment.
As a Staff-level engineer, you will drive technical architecture, advocate for engineering best practices, and collaborate closely with cross-functional teams (Product, Design, Frontend, and Field Engineering) to enhance developer velocity and platform agility.
Our Core Tech Stack:
  • Backend: Python, gRPC, SQL
  • Infrastructure: Kubernetes, Knative, Keda, Docker, Hybrid Cloud (AWS, GCP, Azure, OpenShift)
  • GenAI & ML: LangChain, CrewAI, LlamaIndex, Closed and open source LLMs
  • Data & Vector DBs: Quadrant, Pinecone or Milvus, Redis, Postgres

In this role you will..
  • Architect and Build: Design, code, and implement elegant, scalable, enterprise-quality platform and application services / SDKs that support autonomous agents, multi-agent collaboration, and advanced tool-use capabilities.
  • Implement Agentic Evaluation & Observability: Build automated evaluation pipelines and trajectory tracking to continuously bench, audit, and evaluate agent reasoning loops, tool-calling accuracy, and guardrail compliance.
  • Architect Memory Management Systems: Develop and optimize robust stateful memory architectures for enterprise agents, handling short-term context window strategies, long-term semantic/episodic memory persistence, and secure cross-session state management.
  • Enable RAG use cases: Implement AI application services powered by machine learning models, enabling scalable Retrieval-Augmented Generation (RAG) and semantic search.
  • Lead by Example: Advocate for and establish engineering best practices, coding standards, and rigorous system design methodologies.
  • Enhance Platform Velocity: Work to enhance developer velocity, framework abstraction, and team agility across the AI platform ecosystem.
  • Collaborate Cross-Functionally: Build strong relationships and collaborate with platform and UI engineers, data scientists, quality engineers, UX designers, Product Management, Field Engineering, and external enterprise partners.
  • Cross-Functional Collaboration: Build strong technical relationships with platform engineers, UI developers, UX designers, and Product Management to deliver cohesive user experiences.
  • Mentorship: Act as a senior technical leader on the team, mentoring junior engineers and actively contributing to a culture of engineering excellence and craftsmanship.

What You Bring (Required Experience):
  • Experience: 8+ years of software engineering experience building scalable backend microservices and distributed systems.
  • Core Languages: Deep expertise in Python Go, Java, or C#/C++, along with gRPC and SQL.
  • Cloud & Containerization: Extensive hands-on experience designing and developing microservices on Kubernetes, plus expertise in at least one major cloud platform (AWS, GCP, or Microsoft Azure).
  • Agentic Frameworks & Evaluation: Proven experience with open-source agentic frameworks((e.g., LangGraph, AutoGen, CrewAI) and evaluation tooling (LangSmith/Langfuse or Phoenix).
  • Agentic & Generative AI Mastery: Proven experience building applications utilizing advanced LLM orchestration paradigms (e.g., ReAct loops, planning/reflection frameworks, multi-agent systems) alongside standard foundational models, prompt engineering, and RAG architectures using vector databases (e.g., Pinecone, Milvus).
  • Memory & State Infrastructure: Deep understanding of caching layers, relational databases, and vector databases optimized for agentic state persistence and memory retrieval.
  • System Design: Demonstrated ability to go deep into complex distributed systems, crafting both high-level architecture and low-level technical designs.
  • Education: BS/MS in Computer Science, Software Engineering, or a related field (or equivalent professional experience).
  • Soft Skills: Self-driven with a strong sense of ownership, paired with excellent written and verbal communication skills.

Bonus Points (Preferred Experience)
  • AI/ML Orchestration: Experience with ML orchestration and serving software ( KServe, Knative).
  • Big Data: Familiarity with distributed data technologies like Apache Spark, Hive, etc.
  • Full-Stack Exposure: Experience with React, HTML, and CSS to better collaborate with UI teams.
  • Data Science Ecosystem: Experience building applications alongside data scientists using tools like Python, TensorFlow, PyTorch, MLflow, or R.
  • Agile Environments: A proven track record of collaborating with agile teams across geographically dispersed and remote locations.

This role is not eligible for immigration sponsorship or relocation
What you can expect from us:
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups

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