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Stack Route Learning Jobs (NOW HIRING)

Epitec

Senior Full Stack Engineer

$85/hr

Familiarity with OpenSearch, Route 53, VPC, and KMS . * Experience with relational and NoSQL ... Exposure to data quality, automation, data management, GenAI, data science, or machine learning

Prophecy Technologies

Full-Stack AI Engineer

Tampa, FL · On-site

Implement state management, routing, and reusable component libraries for complex workflows AI / ML ... Develop and deploy machine learning models using Scikit-learn and TensorFlow * Orchestrate ML ...

Prophecy Technologies

Full-Stack AI Engineer

Tampa, FL · On-site

Implement state management, routing, and component libraries for complex application workflows. AI ... Use Azure Machine Learning for model orchestration and deployment. * Integrate LangChain and ...

nextSource

Senior Full Stack Engineer (Contract)

$80 - $90/hr

Experience with AWS services such as KMS, SQS, SNS, OpenSearch, Route 53, and VPC * Experience with ... Interest in learning new business processes, tools, and technologies * Familiarity with data ...

Stack AV

Freight Logistics Manager

Pittsburgh, PA · On-site

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to ... learning, and cloud technologies, empowering us to create innovative solutions that address the ...

Stack AV

Freight Logistics Manager

Pittsburgh, PA · On-site

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to ... learning, and cloud technologies, empowering us to create innovative solutions that address the ...

New

Eliassen Group

Full Stack Engineer

Almont, CO · Remote

Own deliverables, seek feedback, and pursue growth and learning as an engineer. * Conduct code ... routing number) until you have worked with someone clearly associated with Eliassen Group. If you ...

Basata

Forward Deployed Engineer (Full Stack)

Tempe, AZ · On-site

Configure agent behavior (prompts, tools/functions, orchestration logic, routing rules, guardrails ... Always be learning: We're relentless about growth-our own and each other's. We challenge each other ...

Knit

Staff Full Stack Engineer

New York, NY · On-site

... routing, tooluse, memory, evaluation) with deterministic fallbacks, guardrails, and auditable ... This includes oncall ownership, leading incident response, and driving learning through blameless ...

Knit

Staff Full Stack Engineer

New York, NY · On-site

... routing, tool‑use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable ... This includes on‑call ownership, leading incident response, and driving learning through ...

Knit

Senior Full Stack Engineer

New York, NY · On-site

... routing, tooluse, memory, evaluation) with deterministic fallbacks, guardrails, and auditable ... This includes oncall ownership, leading incident response, and driving learning through blameless ...

Knit

Senior Full Stack Engineer

New York, NY · On-site

... routing, tool‑use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable ... This includes on‑call ownership, leading incident response, and driving learning through ...

Agile Defense

IL · On-site

$110K - $150K/yr

... structure, routing, and build configuration. * Develop reusable UI components, forms, and ... and Learning and Development opportunities as well as other optional benefit elections. $110,000 ...

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All JobsStack Route Learning Jobs

Stack Route Learning information

See salary details

$44.5K

$134.8K

$190.5K

How much do stack route learning jobs pay per year?

As of Jun 7, 2026, the average yearly pay for stack route learning in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Stack Route Learning professional, and why are they important?

To thrive as a Stack Route Learning professional, you need a solid background in software development, programming languages (such as Java, Python, or JavaScript), and experience with modern development frameworks, often supported by a relevant degree or certifications. Familiarity with tools like Git, continuous integration platforms, cloud services, and agile project management systems is typically required. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for success in this role. These skills and qualities are important for delivering high-quality software solutions, adapting to evolving technologies, and collaborating efficiently within dynamic development teams.

What is the difference between Stack Route Learning vs Software Developer?

AspectStack Route LearningSoftware Developer
CredentialsBootcamp certification, coding skillsDegree in CS or related field, coding skills
Work EnvironmentTraining programs, project-based learningCorporate offices, tech companies, startups
Industry UsageTraining providers, educational platformsTechnology, IT, software firms
Search & Comparison IntentLearning programs, coding bootcampsJob roles, career growth, skills required

Stack Route Learning focuses on training and skill development through coding bootcamps, while a Software Developer is a professional role requiring specific skills and experience. Both are connected to coding and tech industries, but one is educational and the other is a job position.

What are some common challenges faced by professionals in a Stack Route Learning role, and how can they be addressed?

Professionals in a Stack Route Learning role often encounter challenges such as adapting to rapidly changing technologies, managing diverse learner needs, and delivering engaging, hands-on training in both virtual and in-person settings. Staying current with new tools and frameworks requires continuous professional development and collaboration with industry experts. To address these challenges, it's helpful to actively participate in peer learning sessions, seek feedback from learners, and leverage online resources to keep training content fresh and relevant. Open communication with team members and a proactive approach to learning can make these challenges manageable and rewarding.

What is Stack Route Learning?

Stack Route Learning is an educational platform and learning provider that specializes in offering industry-relevant training programs, particularly in technology and digital skills. The company partners with organizations to deliver immersive, hands-on learning experiences in areas such as full stack development, data engineering, and cloud technologies. Stack Route Learning is known for its bootcamp-style approach, focusing on practical skills and real-world projects to prepare learners for job roles in the tech industry.
Infographic showing various Stack Route Learning job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.
Software Engineer- BIS (Baseten Inference Stack)

Software Engineer- BIS (Baseten Inference Stack)

Baseten

San Francisco, CA • On-site

$180K - $360K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
Baseten's Inference Stack team builds the distributed runtime that powers large-scale LLM inference across our platform. We operate at the intersection of distributed systems, model performance, infrastructure, and developer experience. We enable customers to deploy and operate cutting-edge LLM models with industry-leading performance, scalability, reliability, and ease of use.
As a Software Engineer on the Inference Stack team, you'll work across the stack - from the developer experience customers use to deploy models, the libraries used for features like tool calling and reasoning, all the way down to the systems we use to orchestrate deployments in Kubernetes and route traffic efficiently.
This is an ideal role for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.
EXAMPLE INITIATIVES
Blog Posts
https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/
https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/
https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid
RESPONSIBILITIES
  • Develop infrastructure and orchestration systems for deploying and managing large-scale distributed LLM inference
  • Work across the stack, from customer-facing features to low-level infrastructure components
  • Build platform capabilities related to routing, autoscaling, scheduling, observability, and runtime management
  • Improve the reliability, scalability, and usability of our inference stack
  • Collaborate closely with Model Performance engineers to make new inference optimizations broadly available to customers and easy to configure
  • Help define best practices around testing, release automation, benchmarking, and operational excellence
  • Debug complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads
  • Make thoughtful engineering tradeoffs balancing performance, reliability, operational simplicity, and developer experience
  • Own projects end-to-end: from architecture and implementation through deployment, monitoring, and iteration based on customer feedback

REQUIREMENTS
  • Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field
  • Strong background in distributed systems, backend infrastructure, or platform engineering
  • Experience building and operating production systems where reliability, latency, and scale are first-class concerns
  • Strong sense of developer experience: you think about how systems are used, not just how they work
  • Motivated and willing to learn new languages, frameworks, and systems as needed
  • Ability to debug complex systems across multiple layers of the stack
  • Genuine interest in inference engineering. You don't need to have hands on experience but are willing to learn
  • Excellent communication and collaboration skills

BONUS
  • Experience with Kubernetes, including concepts like operators and custom resources
  • Prior work on Dynamo, vLLM, SGLang, TensorRT-LLM, or similar inference frameworks
  • Experience with distributed scheduling, autoscaling, or service orchestration
  • Experience operating GPU workloads in production
  • Familiarity with observability tooling, CI/CD systems, or release automation
  • Experience contributing to open-source infrastructure or ML systems

BENEFITS
  • Competitive compensation, including meaningful equity.
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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