ZipRecruiter

Log In

2

Remote New Grad Software Engineer Jobs in Katy, TX

TraceSecurity

Software Engineer

Houston, TX · Remote

$55K - $70K/yr

Familiar with backend programming languages (e.g., Java, Go, Python, C#) * Familiar with SQL databases (e.g., PostgreSQL, MySQL) * Familiar with web servers (e.g., Nginx, Apache) * Experienced using ...

CDK

Staff Software Engineer

Houston, TX · On-site +1

$150K - $185K/yr

Experience in design and implementation of transaction-oriented software in a Linux/C environment a plus * Must be an expert in the C# programming language * Expert level capabilities in Php a plus

rightpoint

Copilot Software Engineer

Houston, TX · On-site +1

The Opportunity We're looking for an Copilot Software Engineer to build and scale enterprise-grade ... What Genpact: • Flexible PTO and work schedule • Hybrid or fully remote work options • ...

GMV

Full Stack Software Engineer - Remote

Houston, TX · On-site +1

If you don't know us yet, we are an engineering and technological innovation company working on ... Software design and development * Algorithm development * Fluent in English (C1 or higher)

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Provide software engineering and design expertise and best practices (Python) with a focus on ... Ability and desire to learn and apply new technologies * Ability to logically evolve an ...

IQVIA

Sr Software Development Engineer

Houston, TX · On-site +1

$117K - $154K/yr

Position Summary We are seeking a Senior Software Development Engineer to design, build, and lead ... remote) U.S. residents only; work must be performed within the United States. Experience ...

IQVIA

Sr Software Development Engineer

Houston, TX · On-site +1

$117K - $154K/yr

Position Summary We are seeking a Senior Software Development Engineer to design, build, and lead ... remote) U.S. residents only; work must be performed within the United States. Experience ...

Genpact

M365 Copilot Software Engineer

Houston, TX · On-site +1

The Opportunity We're looking for an M365 Copilot Software Engineer to build and scale enterprise ... What Genpact: • Flexible PTO and work schedule • Hybrid or fully remote work options • ...

Sembix LLC

Be Seen First

AI Engineer (Entry-Level Remote)

Houston, TX · Remote

$60K - $75K/yr

Build AI-integrated software: wire up LLM/AI APIs, design simple agent workflows, and ship AI ... AI-curious: You're excited about LLMs and AI, and you experiment with new tools * Collaborative:

micro1 AI

Bioinformatics Software Engineer

Houston, TX · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

previous pagenext page

Showing results 21-40

All JobsNew Grad Software Engineer JobsRemote New Grad Software Engineer JobsRemote New Grad Software Engineer Jobs in Katy, TX

Remote New Grad Software Engineer information

See Katy, TX salary details

$58.3K

$135.4K

$188.5K

How much do remote new grad software engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote new grad software engineer in Katy, TX is $135,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $158,700.00 per year, depending on experience, location, and employer.

What is a remote new grad software engineer?

A Remote New Grad Software Engineer is an entry-level professional who has recently graduated from college or university with a degree in computer science or a related field and works from a location outside the traditional office setting. These engineers are responsible for designing, developing, testing, and maintaining software applications while collaborating with their teams virtually. Remote positions offer flexibility and the opportunity to work with companies regardless of geographic location, but they also require strong communication skills and self-motivation.

What are the key skills and qualifications needed to thrive as a remote new grad software engineer, and why are they important?

To thrive as a Remote New Grad Software Engineer, you need a solid understanding of programming languages (such as Python, Java, or JavaScript), algorithms, and software development principles, usually supported by a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, collaborative tools (e.g., Jira, Slack), and cloud platforms is typically expected. Strong self-motivation, effective communication, and the ability to learn independently are vital soft skills in a remote environment. These competencies ensure you can contribute to codebases, collaborate across distances, and adapt quickly to evolving technical challenges.

What are some unique challenges new grad software engineers face when starting in a fully remote environment?

New grad software engineers working remotely often encounter challenges such as building strong relationships with teammates, navigating company culture, and getting timely feedback. Without in-person interactions, it can take extra effort to communicate effectively, ask questions, and stay connected with mentors. Proactively reaching out through messaging tools, participating in virtual meetings, and setting up regular check-ins with managers can help ease the transition and ensure continued growth and support.

What is the difference between Remote New Grad Software Engineer vs Remote Software Developer?

AspectRemote New Grad Software EngineerRemote Software Developer
Required CredentialsBachelor's degree in CS or related field, internship experience often preferredSimilar educational background, may require more professional experience
Work EnvironmentEntry-level, mentored, collaborative teams, often in tech companies or startupsCan be entry or mid-level, more autonomous, in various industries
Employer & Industry UsageCommon in tech, startups, large corporations hiring entry-level talentUsed across industries, including tech, finance, healthcare, often for experienced roles

The main difference is that a Remote New Grad Software Engineer is an entry-level role designed for recent graduates, focusing on learning and growth, while a Remote Software Developer may have more experience and responsibilities. Both roles often require similar educational backgrounds and work in similar environments, but the developer role can involve more independent work and complex projects.

What are popular job titles related to Remote New Grad Software Engineer jobs in Katy, TX?

For Remote New Grad Software Engineer jobs in Katy, TX, the most frequently searched job titles are:

What job categories do people searching Remote New Grad Software Engineer jobs in Katy, TX look for?

The top searched job categories for Remote New Grad Software Engineer jobs in Katy, TX are:

What cities near Katy, TX are hiring for Remote New Grad Software Engineer jobs?

Cities near Katy, TX with the most Remote New Grad Software Engineer job openings:

Remote New Grad Software Engineer jobs near you

Sr. Software Engineer - AI Platforms and Automation

IMO Health

Houston, TX • Remote

$140K - $200K/yr

Full-time

Re-posted 4 days ago

Job description

At IMO Health, we combine strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions that enhance access to reliable health information, support clinical decision-making, and improve patient outcomes. 

We are looking for a Senior Software Engineer to own and evolve the internal software platforms that support IMO Health's terminology and knowledge graph initiatives. This role will maintain and enhance production applications, APIs, integrations, and AI-enabled workflows while helping introduce new AI capabilities into existing business processes as the platform continues to evolve. 

The ideal candidate is a software engineer first—someone who enjoys owning and evolving production software while applying AI technologies to solve real business problems. As the platform continues to evolve, you'll help introduce new AI-enabled capabilities into existing business workflows while ensuring the underlying systems remain reliable, scalable, and production-ready. 

WHAT YOU’LL DO:

Own and enhance internal platforms 

  • Maintain and enhance internally developed applications and tooling that supports terminology management, content creation, mapping, workflow automation, and content delivery.  

  • Build and maintain integrations across internal applications, APIs, knowledge bases, databases, and AI services.  

  • Contribute to the design and implementation of new automation and AI-enabled capabilities as business needs evolve.  

Support reliable production systems 

  • Own operational support for AI-enabled applications and workflows in production, including troubleshooting, incident response, release coordination, and ongoing maintenance.  

  • Manage application deployments, infrastructure configuration, monitoring, alerting, and operational support for AWS-hosted applications and services.  

  • Investigate production issues, perform root-cause analysis, and implement durable solutions that improve reliability.  

Enable AI-powered workflows 

  • Support AI agents and workflow automation capabilities as they mature from pilot initiatives into scalable production solutions.  

  • Develop and troubleshoot cloud-based workflows using AWS services such as Bedrock, Lambda, Glue, S3, IAM, CloudWatch, and MWAA/Airflow.  

  • Implement testing, monitoring, and operational readiness practices that improve the quality and reliability of AI-enabled workflows.  

Collaborate across teams 

  • Partner with clinical, terminology, product, data science, and engineering teams to improve AI-enabled workflows while maintaining appropriate human review and auditability.  

  • Mentor team members and promote software engineering best practices for secure, maintainable, and production-ready systems. 

WHAT YOU’LL NEED:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical field; equivalent professional experience will also be considered. 

  • 7+ years of professional experience in software engineering, backend engineering, platform engineering, DevOps, MLOps, cloud engineering, or a related discipline, including experience supporting production systems. 

  • Strong proficiency in Python and experience building maintainable services, APIs, internal tools, jobs, or workflow automation in production environments. 

  • Experience designing, deploying, and supporting cloud-based applications in AWS environments.

  • Experience building or supporting AI-enabled applications using Amazon Bedrock, LLM APIs, knowledge bases, AI agents, retrieval-augmented generation (RAG), or similar technologies. 

  • Experience with CI/CD pipelines, Git-based development workflows, automated testing, configuration management, and release practices. 

  • Experience with Docker, Kubernetes or other containerized services, Terraform or Infrastructure-as-Code, and production monitoring/alerting tools. 

  • Experience with workflow orchestration, data pipelines, or job scheduling tools such as Airflow/MWAA, Glue, Lambda, cron-based jobs, or equivalent technologies. 

  • Working knowledge of SQL and relational databases such as PostgreSQL; experience with distributed data or search systems is a plus. 

  • Experience building or supporting AI-enabled applications using LLM APIs, retrieval-augmented generation (RAG), knowledge bases, AI agents, or similar technologies. 

  • Strong troubleshooting skills, including production issue triage, root-cause analysis, log analysis, and implementation of durable solutions. 

  • Ability to partner effectively with domain experts and translate workflow needs into practical, maintainable technical solutions. 

  • Strong communication, documentation, and collaboration skills in cross-functional environments.

PREFERRED QUALIFICATIONS:

  • Experience scaling AI-enabled applications or agent-based workflows from prototype or pilot phases into reliable production systems. 

  • Experience with modern AI development practices including prompt engineering, tool/function calling, AI evaluation techniques, and AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor. 

  • Experience with AI application frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.  

  • Experience designing or supporting AI evaluation frameworks, quality monitoring practices, or human-in-the-loop workflows for AI-assisted outputs. 

  • Experience in healthcare technology, clinical data, clinical terminology, content curation, or other regulated data environments. 

  • Familiarity with knowledge graph technologies and semantic standards such as RDF, OWL, SPARQL, SHACL, FHIR, SNOMED CT, LOINC, RxNorm, ICD-10, CPT, or related healthcare standards. 

  • Experience working with vector databases, embeddings, search technologies, or other retrieval-based AI architectures. 

  • AWS certifications such as AWS Certified Solutions Architect, AWS Certified Machine Learning – Specialty, or AWS Certified Generative AI Developer – Professional. 

Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.

IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.