Engineering Jobs in Kyle Texas Remote

Job Title: Principal Mechanical Integration Engineer

Job Family : Mechanical Design Engineering 

Organization : Data Center Infrastructure Team

Location: Remote* OR Austin, TX

*Requires up to 20% domestic and/or international travel (rare)

How will you make an impact? 

The Principal Mechanical Design Engineer (Data Center Infrastructure) is a technical leader responsible for the architecture, integration, and validation of advanced mechanical systems supporting hyperscale data center environments. This role requires deep expertise in liquid cooling technologies (single-phase and two-phase), hydronic system design, structural integration, and manufacturable rack-level infrastructure solutions.

This role is responsible for defining system performance requirements, developing technical specifications, selection and integration of critical components, and leading mechanical design from concept through production release. Responsibilities include wetted material selection, thermal and structural analysis, fastening strategies, component layout, and design for manufacturability. Partners cross-functionally to deliver reliable, scalable, and cost-effective Data Center Infrastructure solutions while advancing innovation in liquid cooling performance.

What will you do?

• Lead the end-to-end mechanical design and engineering of hyperscale Data Center Infrastructure (DCI) systems, including liquid-cooled rack assemblies, CDUs, manifolds, enclosures, structural frames, and associated hydronic piping systems.

• Serve as the technical authority for single-phase and two-phase liquid cooling architectures, including primary and secondary loop design, in-rack distribution, and system integration within hyperscale data center environments.

• Define and validate operational performance requirements for liquid-cooled infrastructure, including pressure ratings, hydrostatic limits, temperature ranges, flow rates and uniformity, thermal expansion, durability, and serviceability.

• Design, analyze, and validate machined components, welded fabrications, manifolds, and structural systems using advanced engineering principles, including stress analysis, finite element analysis (FEA), flow modeling, and structural load calculations to ensure mechanical integrity and code compliance.

• Lead wetted material selection and compatibility analysis for liquid cooling systems, including corrosion mitigation strategies, surface treatments, cleanliness standards, and long-term durability considerations.

• Develop and review CAD models and complete technical data packages using CREO, SolidWorks, or equivalent tools; ensure design accuracy, manufacturability, and system-level integration.

• Author and approve technical specifications for piping systems, rack-level cooling infrastructure, and hydronic components, including installation guidelines, maintenance procedures, testing requirements, and compliance with applicable standards (ASME, ISO).

• Establish and oversee validation protocols including hydrostatic pressure testing, leak detection and mitigation, flow resistance analysis, and corrosion verification to ensure regulatory compliance and operational reliability.

• Evaluate customer design proposals and technical specifications to assess feasibility, manufacturability, cost, and risk; provide recommendations to optimize performance and total cost of ownership.

• Lead cross-functional design reviews with electrical, thermal, manufacturing, quality, and supply chain teams to ensure full system integration and compliance with product specifications and applicable plumbing and hydronic codes.

• Optimize rack manifold design and manufacturing processes, including machining, welding, surface finishing, connection interfaces, venting and draining strategies, and flow path optimization to enhance performance and manufacturability.

• Drive continuous improvement in manufacturing assembly methods and tooling in collaboration with production teams and equipment vendors to improve quality, scalability, and cost efficiency.

• Lead root cause investigations for complex mechanical failures identified during validation or field deployment and implement corrective design improvements.

• Provide technical leadership in vendor qualification and management for mechanical components and liquid cooling subsystems.

• Identify and mitigate technical risks impacting performance, schedule, or cost, and contribute to R&D initiatives advancing liquid cooling technologies and system innovation.

MINIMUM QUALIFICATIONS

Education :  

• Bachelor’s degree in Mechanical Engineering, Systems Engineering, or a related engineering discipline from an accredited university.

Experience :  

• 8 years' experience in mechanical design and integration of mission-critical systems.

• Proven track record of successful system designs and implementations in a relevant industry

• Strong understanding of mechanical systems, integration strategy, and system coordination

• Familiarity with industry standards and regulations related to Energy Storage Systems and Data Center Infrastructure is preferred.

• Excellent problem-solving skills and attention to detail

• Strong communication and teamwork abilities

PREFERRED QUALIFICATIONS

• Master’s Degree in Mechanical Engineering

• Professional Engineer (PE) License

**This position supports hybrid work schedule depending on organization needs.**

RESPONSIBILITIES:

• Architect, design, and maintain scalable CI/CD pipelines using Azure/AWS DevSecOps.

• Build and optimize Docker-based microservices, images, and deployment pipelines.

• Lead deployments across Docker Swarm, Kubernetes/EKS, and multi-location environments.

• Develop infrastructure automation using Ansible, bash scripting, Terraform and Git-based workflow.

• Manage release pipelines using container registries, artifact feeds, template pipelines, and multi-stage workflows.

• Design multi-environment strategies for dev, QA, staging, and production deployment.

• Implement cloud-native services with AWS & Azure cloud platforms.

• Implement basic security practices, including IAM roles, secrets management, and access controls.

• Develop secure, modular, reusable build and release systems.

• Work closely with full-stack engineering teams (Angular, Java, Python , backend APIs, database engineers).

• Mentor junior DevOps engineers and lead DevOps roadmap decisions.

KNOWLEDGE REQUIREMENTS:

DevOps Expertise :

Azure DevOps pipelines, YAML templating, CI/CD strategy, Git branching models.

Containerization & Orchestration :

Docker images, Docker Compose, Docker Swarm, multi-node/multi-location deployments.

Cloud Technologies :

Azure deployments & infrastructure, AWS (IAM, Lambda, S3, CloudWatch).

Programming / Scripting Languages :

Python, Bash, Linux/Unix administration, awk, shell automation, groovy.

Infrastructure Automation :

Ansible playbooks, tasks/roles, inventory design, configuration management.

Distributed Deployment Architecture :

Multi-site replication, node selection by IP, dynamic service routing.

Database Stack Experience :

PostgreSQL, MySQL, MariaDB operations & migrations.

Observability & Logging :

CloudWatch monitoring, log collection, Prometheus, Grafana, reporting & metrics.

Version Control & Build Systems :

Azure Devops, Git, Git submodules, artifact storage, registry solutions, Secrets Management.

Nice to have AI knowledge/experience and willingness to learn.

EDUCATION & EXPERIENCE REQUIREMENTS

• BS degree in Electrical/Computer Engineering, Computer Science or related field. MS preferred.
• 7+ years experience in a software devops/development/test capacity with enterprise server, storage or networking products.

Build your career with Jabil! We challenge and empower you to make most of your talents, working with outstanding colleagues from diverse backgrounds who share your drive and passion to make Jabil grow!

Location/Division Specific Information – Austin, TX / USA - Remote

**This position supports hybrid work schedule depending on organization needs.**

How will you make an impact? –

Jabil is seeking a DCI Test Development Engineer who will directly contribute to the transformative growth within our Enterprise and Infrastructure division by applying unique and innovative approaches to solving problems within a large-scale software and data center infrastructure. The DCI Test Development Engineer plays a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and data center infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil’s world-class manufacturing environments.

What will you do?

• Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware.
• Develop and implement automated manufacturing test sequences in Python that interface with BMS and PLC hardware to validate the functional performance, communication protocols, and safety logic of liquid cooling equipment.
• Test Software Development: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports.
• Test Sustaining: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs)
• Documentation: Maintain comprehensive documentation of test procedures, specifications, and Infrastructure
• Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, controls engineer, and quality assurance personnel, to ensure alignment on testing requirements and quality standards
• Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date
• Definition and collaboration on overall test infrastructure and application architectures

How will you get here?  

Education:  

• BS degree in Electrical/Computer Engineering, Computer Science or related field is required

Experience:  

• 5-8 years’ experience in a software manufacturing test development/sustaining with enterprise server, storage or networking products is required
• 10+ years of relevant experience in a software manufacturing test development/ sustaining with enterprise server, storage or networking products and some college coursework in lieu of a 4- yr. degree, will be considered
• Excellent verbal and written communication skills is required

Knowledge, Skills, Abilities:  

• Expertise in the following programming/scripting languages: Python, Java, BASH. C, C++, experience a plus
• Linux development expertise with a solid understanding of its fundamentals: CentOS/Ubuntu
• Python for hardware automation, with a deep understanding of industrial communication protocols (Modbus, BACnet, or Ethernet/IP) and the ability to interpret P&IDs and electrical schematics for cooling systems; experience in designing physical test stations and sensor integration is highly preferred.
• Expertise in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare
• Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP). Arista CloudVision is a plus
• Experience with code versioning tools (Git preferred)
• Strong knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Ability to travel up to 10% globally as required

Job Title : Nuclear Engineer (Naval Reactors Engineer) Category / Component : Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards.

Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation.

What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication.

Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding.

Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields.

Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements.

Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy.

Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter.

Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work.

Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities.

Specific options depend on the Sailor's status, training, and current Navy policy.

Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options.

Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance.

Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed.

Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source.

Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community.

It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes.

Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

Job Title: QA Automation Engineer II

Location: Jersey City, NJ(Hybrid)

Duration: 9+ Months (Extendable)

(\"US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.")

A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $55 to $67 with limited benefits.

Job Description:

• 7+ years of proven experience in software quality assurance with a strong focus on test automation.
• 2+ years of experience in testing and validating ETL processes and data workflows, including data integrity, transformation validation, and end-to-end data pipeline testing.
• Strong experience with automation frameworks using Selenium WebDriver with Java or C#.
• Hands-on experience in API and web services testing using automation tools such as Apache JMeter and Rest Assured.
• Experience designing, developing, and maintaining automated test suites for UI, API, and integration testing.
• Experience executing and managing automated test scripts within CI/CD pipelines using tools such as Jenkins and Bamboo.
• Ability to integrate automated test execution into continuous integration and continuous delivery workflows to support automated validation during builds and deployments.
• Experience analyzing test results, troubleshooting failures, and improving reliability of automated test frameworks.
• Good understanding of test orchestration, and automated test reporting in CI/CD environments.
• Good to have: Experience testing applications deployed in cloud environments such as Amazon Web Services.
• Strong collaboration skills with development, DevOps, and QA teams to ensure high-quality software delivery.

Senior Java/Kotlin engineer
Remote
6+ Month Contract: $70-$80 per hour
Our client is in search of a Senior Java Engineer for a 6+ month contract. You will lead the development and testing of our systems and services Participate in shaping the technical architecture of the product Help translate product requirements into user stories and technical solutions Deliver highly available and scalable services in a production environment Mentor other engineers, support the technical culture, and help grow the team Generate ideas for new initiatives and technologies Communicate with project leads, product managers and other software developers

• Systems Development: Lead and participate in the development and testing of our systems and services.
• Requirement Translation: Help translate product requirements into user stories and actionable technical solutions.
• Production Delivery: Deliver highly available and scalable services in a production environment.
• Cross-Functional Collaboration: Communicate effectively with project leads, product managers, and other software developers.

• Education: Bachelor's Degree in Computer Science or a related field.
• Experience: 4+ years of programming experience, ideally using a modern stack.
• Backend Expertise: 2+ years of experience with Java or Kotlin.
• Core Stack Knowledge: Familiarity with our environment ( Java/Kotlin, Spring, PostgreSQL, React) running on Kubernetes within a service-oriented architecture (100+ services).
• Database Proficiency: A solid understanding of relational databases and ORMs.
• Architecture: Experience working on SOA or microservice-based applications.
• Quality Standards: View Unit and Integration tests as first-class citizens in the software development lifecycle.
• Collaborative Workflow: Experience refining designs, performing code reviews, and managing pull requests in a team environment.
• Ownership & Mindset: * A solid sense of responsibility and the ability to drive projects from inception to completion

• Full-Stack Experience: Additional expertise in any of the following areas:
  • Systems: Kafka, Temporal, Docker, POSIX.
  • Databases: Deep PostgreSQL knowledge.
  • Front-End: JavaScript/TypeScript, React.

We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

LHH is seeking a Senior Databricks AI/ML Engineer to join our client's team in a fully remote role based in Seattle, WA. Candidates must live in one of the following states, and be prepared to pass a background check/identity verification process: WA, OR, ID, OH, SC, NC, TX, or FL

LHH has a dynamic and challenging opportunity for a Senior Databricks AI/ML Engineer to join our client's engineering team. This role focuses on building and deploying scalable AI/ML solutions across key areas of the insurance functions, including underwriting, claims, pricing, customer engagement, and fraud detection, with a strong emphasis on Databricks architecture and ecosystem integration. The engineer will collaborate closely with data scientists, actuaries, product owners, and engineers to operationalize models, transforming them into robust, production-grade systems seamlessly integrated into business workflows and enterprise platforms.

Salary & Benefits:

• $150k to $185k annually (depending on location & experience)
• Medical, dental, and vision insurance
• 401(k) plan with employer match
• Vacation time accrues at a rate of 10 days annually, with increases based on a tenure schedule, up to a maximum of 25 days per year.
• PTO included Four (4) personal days are granted immediately upon hire.
• Paid holidays are provided for the eight (8) holidays observed in this role throughout the calendar year.
• Up to ten (10) days of sick leave are granted immediately upon hire (pro-rated based on hire date and full-time/part-time status).
• Additional paid time off is available for bereavement, jury duty, and employee volunteer activities in the community.
• Life and disability insurance

Minimum Qualifications:

• Bachelor's degree in Computer Science, AI/ML, Data Science/Engineering, or related field (or equivalent experience).
• 6+ years experience in ETL pipelines, SQL Server, and production data workflows.
• 3+ years enterprise experience with Azure & Databricks AI/ML, including data analysis and visual analytics.
• 3+ years applying ML algorithms and transforming data science prototypes into production.
• 5+ years experience with CI/CD workflows for ML models and related code.
• Strong SQL, real-time and batch data pipeline development, and unsupervised learning techniques.
• Familiarity with agile methodologies (e.g., Scrum).

Responsibilities:

• Conduct customer workshops to gather requirements and design analytics architectures using Azure and Databricks AI/ML.
• Serve as Databricks Architect, managing workspace design, deployment, and governance across environments.
• Define and implement Databricks Lakehouse architecture and governance best practices.
• Integrate Databricks with Azure services and lead implementation of Databricks SQL, Delta Live Tables, and MLflow.
• Develop and maintain automated MLOps workflows for model deployment, monitoring, and lifecycle management.
• Set up and configure Azure and Databricks infrastructure for AI/ML workloads.
• Review ML model code and analytics scripts for quality and performance.
• Design and build data pipelines and cloud services for monitoring, analysis, and reporting.
• Develop robust ETL workflows using Databricks, Spark, and SQL Server for structured and unstructured data.
• Provide production support and performance tuning for data engineering workflows.
• Optimize complex SQL queries and stored procedures for data processing and business logic.
• Collaborate with cross-functional teams to ensure data quality and support business decision-making.
• Scale and deploy machine learning models to handle large-scale data.
• Feed raw data into models and build deployment pipelines for new models.
• Implement logging, observability, and performance monitoring for AI/ML systems.
• Conduct architecture reviews and performance testing.
• Perform other duties as assigned.

Preferred Qualifications:

• Master's degree in a related field.
• Experience in the insurance industry (Auto, Home, Umbrella) and related AI/ML applications.
• Proficiency with tools/platforms: Azure ML, Databricks, Microsoft Fabric, Synapse, Power BI, Snowflake, and APIs like Azure OpenAI and Cognitive Services.
• Knowledge of streaming frameworks: Apache Kafka, Azure Event Hubs, Delta Live Tables.
• Strong math, problem-solving, and rapid learning skills.
• Excellent communication, organization, and independent work capabilities.
• Service-oriented mindset with ability to handle ambiguity and build strong relationships.

Equal Opportunity Employer/Veterans/Disabled

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• The California Fair Chance Act

• Los Angeles City Fair Chance Ordinance

• Los Angeles County Fair Chance Ordinance for Employers

• San Francisco Fair Chance Ordinance