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Amazon Software Engineer Jobs in Houston, TX (NOW HIRING)

Arva Intelligence

AI Software Engineer

Houston, TX · On-site

$115K - $145K/yr

This role sits at the intersection of applied AI engineering and production software development ... AI frameworks - Building agentic and LLM applications with tools like Amazon Bedrock, LangGraph and ...

Arva Intelligence

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

This role sits at the intersection of applied AI engineering and production software development ... AI frameworks - Building agentic and LLM applications with tools like Amazon Bedrock, LangGraph and ...

New

Medium

Senior Full Stack Software Engineer

Houston, TX · On-site

$172.20 - $206.64/hr

Create and manage applications deployed using various container runtimes (Lambda, Amazon ECS/EKS ... As a Senior Full Stack Software Engineer , you'll play a key role in building secure, scalable ...

New

Hp

Software Systems Engineer

Spring, TX

$147K - $230K/yr

Preferred Certifications Certified Software Systems Engineer (CSSE) Certified Systems Engineering Professional (CSEP) Knowledge & Skills Agile Methodology Amazon Web Services Application Programming ...

Hp

Software Systems Engineer

Spring, TX · On-site

$93K - $143K/yr

Preferred Certifications Certified Software Systems Engineer (CSSE) Certified Systems Engineering Professional (CSEP) Knowledge & Skills Agile Methodology Amazon Web Services Application Programming ...

Entrance

Junior Software Consultant

Houston, TX · On-site

$64K - $83K/yr

A junior software developer collaborates with other developers to design and develop custom ... Familiarity with Amazon Web Services or Microsoft Azure is a plus * Familiarity with ASP.NET is a ...

Entrance

Junior Software Consultant

Houston, TX · On-site

$64K - $83K/yr

A junior software developer collaborates with other developers to design and develop custom ... Familiarity with Amazon Web Services or Microsoft Azure is a plus * Familiarity with ASP.NET is a ...

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All JobsAmazon Software Engineer JobsAmazon Software Engineer Jobs in Houston, TX

Amazon Software Engineer information

See Houston, TX salary details

$60.6K

$140.9K

$196.2K

How much do amazon software engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for amazon software engineer in Houston, TX is $140,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $165,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon software engineer?

To thrive as an Amazon Software Engineer, you need a strong background in computer science, coding proficiency in languages like Java, C++, or Python, and a relevant bachelor’s degree or higher. Familiarity with AWS cloud services, distributed systems, and software development tools such as Git and CI/CD pipelines is highly valued. Strong problem-solving skills, effective communication, and collaboration are crucial soft skills in this fast-paced environment. These abilities enable engineers to deliver scalable, reliable solutions while working efficiently within large, cross-functional teams.

What is an Amazon software engineer?

An Amazon Software Engineer is responsible for designing, developing, and maintaining software systems that support Amazon's vast technical infrastructure. They work on scalable and distributed systems, using languages like Java, Python, or C++. Engineers collaborate with cross-functional teams to build customer-focused solutions, optimize performance, and ensure system reliability. Additionally, they follow Amazon's leadership principles and contribute to innovation in areas like AWS, Alexa, and e-commerce. This role requires strong problem-solving skills, coding expertise, and the ability to handle complex technical challenges at scale.

What are the typical career growth opportunities for an Amazon software engineer?

Amazon offers software engineers a well-defined career path, starting from entry-level roles and advancing to senior engineer, principal engineer, or engineering manager positions. Engineers are encouraged to take on greater responsibilities, lead technical projects, and mentor junior staff as they develop. The company supports professional growth through internal training, skill development programs, and opportunities to work on high-impact, global-scale products. With consistent performance and a proactive approach to learning, you can expect clear advancement opportunities and increased leadership responsibilities at Amazon.

What are the most commonly searched types of Amazon Software Engineer jobs in Houston, TX? The most popular types of Amazon Software Engineer jobs in Houston, TX are:
What are popular job titles related to Amazon Software Engineer jobs in Houston, TX? For Amazon Software Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Amazon Software Engineer jobs in Houston, TX look for? The top searched job categories for Amazon Software Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Amazon Software Engineer jobs? Cities near Houston, TX with the most Amazon Software Engineer job openings:
Amazon Software Engineer jobs near you
Infographic showing various Amazon Software Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $140,881 per year, or $67.7 per hour.

AI Software Engineer

Arva Intelligence

Houston, TX • On-site

$115K - $145K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago

Job description

Reports to: Chief Technology Officer
Location: Remote
Level: 2-5 years of professional software development experience
Base Salary Range: $115K -145K
Position Summary
We are seeking an AI Software Engineer to design, build, and operate the AI-enabled services at the core of the Arva platform. This role sits at the intersection of applied AI engineering and production software development: you will build agent-based systems using frameworks such as LangGraph and LangChain, and you will also build the durable application and data infrastructure including APIs, pipelines, and interfaces that make those systems reliable at scale.
This is a hands-on engineering role for someone who has moved past their first job, ships production code independently, and is looking to apply modern AI techniques to a domain where correctness genuinely matters.
Key Responsibilities
  • Design, build, and maintain LLM-powered and agentic workflows using tools like LangGraph and LangChain, AWS Bedrock AgentCore, including tool use, retrieval, memory, orchestration, and multi-step reasoning pipelines.
  • Develop and productionize AI/ML services in Python, including work with Mixture-of-Experts (MoE) and other multi-model architectures for routing, specialization, and ensemble prediction.
  • Build and extend backend services and APIs in Django, with PostgreSQL (and PostGIS) as the primary data layer.
  • Implement front-end features and internal tooling in TypeScript and Vue.js to expose AI capabilities and analytics to users.
  • Build and optimize data processing pipelines that ingest, clean, normalize, and enrich large volumes of geospatial, agronomic, imagery, and third-party data.
  • Develop and maintain integrations with external partner and customer APIs, including authentication, rate limiting, schema mapping, error handling, and monitoring.
  • Deploy, scale, and operate services on AWS using managed compute, storage, database, queueing, and serverless offerings.
  • Design and execute QA/QC processes for both software and data - automated testing, validation rules, anomaly detection, model evaluation, and regression checks - so that model outputs meet the accuracy and auditability standards our customers and verification bodies require.
  • Participate in code review, architecture discussions, and technical planning; write clear documentation for the systems you build.
  • Partner with data scientists, agronomists, and product stakeholders to translate scientific and business requirements into production systems.
Required Qualifications
  • 2-5 years of professional software development experience building and shipping production systems.
  • Strong proficiency in Python, including experience with modern application frameworks, testing, and packaging practices.
  • Demonstrated experience building applications or services that use large language models or other machine learning models in production.
  • Working knowledge of relational databases and SQL, with practical experience designing schemas and writing performant queries.
  • Experience developing and consuming RESTful APIs.
  • Familiarity with cloud infrastructure (AWS preferred) and standard software delivery practices including version control, CI/CD, and automated testing.
  • Ability to work independently on ambiguous problems, and to communicate technical trade-offs clearly to both technical and non-technical colleagues.
  • Bachelor's degree in Computer Science, Software Engineering, a related technical field, or equivalent practical experience.
Preferred Qualifications
The ideal candidate will bring hands-on experience across several of the following. We do not expect any single candidate to have all of them.
  • AI frameworks - Building agentic and LLM applications with tools like Amazon Bedrock, LangGraph and LangChain.
  • Model architecture - Familiarity with Mixture-of-Experts (MoE) architectures, model routing, and ensemble or multi-model system design.
  • Backend - Production experience with Python and the Django framework.
  • Frontend - Proficiency with TypeScript, JavaScript, and Vue.js.
  • Data storage - Advanced PostgreSQL experience, including performance tuning and the PostGIS extension.
  • Geospatial - Experience with geospatial data formats, coordinate systems, raster and vector processing, satellite or remote sensing imagery, and libraries such as GDAL, rasterio, GeoPandas, or Shapely.
  • Data processing - Building large-scale ETL/ELT pipelines, batch and streaming workflows, and orchestration tooling.
  • AWS - Depth across services such as Lambda, S3, ECS/Fargate, RDS, Batch, SQS/SNS, Step Functions, and IAM.
  • Integrations - Designing and maintaining robust third-party and partner API integrations.
  • QA/QC - Establishing automated quality assurance and quality control processes for software, data, and model outputs.
  • Domain - Prior work in agriculture, agronomy, remote sensing, climate, energy, or environmental markets.
About Arva Intelligence
Arva is a machine learning software-based SaaS company with offices located in Houston, TX and Park City, UT. Arva's platform was built to apply our novel ML technology to the agricultural industry, optimizing and measuring regenerative practices, improving crop yields, and reducing operational costs for producers. Our platform helps our customers and partners capitalize on natural regenerative practices; by providing recommendations that improve environmental and ecological ecosystems. Platform features include practice verification and registration, as well as the sale of environmental asset credits to our corporate buyers. Thus, Arva is helping to keep the planet green by providing a green-tech platform that informs, measures, validates, predicts, and registers carbon exchange opportunities, allowing growers and ranchers to produce and sell credits that are bought by our corporate partners, who endorse sustainable food supply and carbon neutrality.
This job description reflects the core duties of the role but is not intended to be all-inclusive. The role may evolve as the company grows, requiring additional responsibilities or changes in scope.
Why you'll love working here:
  • Be part of building something innovative and foundational in regenerative agriculture and sustainability
  • Contribute to work that's bigger than any one role and drives lasting impact across the globe
  • Meaningful career growth as we scale
  • Target annual bonus
  • 401(k) contribution
  • Flexible PTO
  • Stock options
  • 100% employer-paid health insurance premiums
Employment Eligibility
Only applicants currently eligible to work in the United States will be considered for this position.

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