Engineering Jobs in Plano Tx Remote

Job Description

Must Have Technical/Functional Skills

GE Proficy Suite (Kepware, Historian, Plant Applications), SQL scripting, Industrial Protocols (OPC, Modbus, MQTT), Windows Server, VMware/Hyper-V

Roles & Responsibilities

• Assess existing GE Proficy infrastructure and develop a comprehensive migration plan.
• Lead the team for End to End migration and support post migration.
• Good communication skills as more customer communication is required.
• Perform upgrades and migrations of Kepware, GE iHistorian and Plant Application and related modules to the latest supported versions.
• Good knowledge in GE Proficy Plant Model Configuration and Debug the Logs. Should know all services involved in GE Plant Apps.
• Collaborate with cross-functional teams to ensure system compatibility and data integrity during migration.
• Design and implement system architecture changes for scalability and performance improvements.
• Develop testing protocols, validation plans, and rollback procedures.
• Troubleshoot and resolve issues related to data flows, communication protocols (OPC, MQTT, Modbus, etc.), and visualization tools.
• Maintain detailed project documentation including system configurations, migration logs, and user guides.

Generic Managerial Skills, If any

• 7+ years of experience with GE Proficy suite (Kepware, Historian, Plant Applications).
• Proven experience with Historian data migration, Plant Application Upgradation and industrial automation systems.
• Familiarity with industrial communication protocols (OPC DA/UA, Modbus etc.).
• Experience with Windows Server environments, SQL Server, virtualization (VMware/Hyper-V), and backup strategies.
• Strong troubleshooting and diagnostic skills.
• Knowledge of SQL scripting is mandatory and programming (VBScript, PowerShell) is a plus.
• After-hours or weekend work may occasionally be necessary during cutover/migration phases.
• On-call support during go-live periods.

Salary Range-$100,000-$140,000 a year

#LI-KR3

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Key Requirements

• 7+ years of experience in embedded software development
• Strong experience with DO-178C DAL A (safety-critical systems)
• Expertise in SDLC, requirements capture, architecture, and design
• Experience with requirements traceability and configuration management
• Hands-on with ARM-based SoC systems and embedded C development
• Familiarity with protocols: Ethernet, SPI, RS485, CAN, I2C
• Experience with DOORS, Git, UML tools (Cameo), AMD Vitis, ARM Compiler, Trace32
• Exposure to Pre-SOI audits and compliance documentation

Responsibilities

• Analyze, build, and enhance existing embedded software codebase (ARM-based SoC)
• Develop and update software to meet DO-178C DAL A compliance
• Perform requirements analysis, design, coding, and testing
• Ensure traceability, documentation, and SDLC compliance
• Support design reviews, audits, and issue resolution
• Prepare technical documentation and compliance reports

FPGA Design Engineer

Plano, Texas

Job Description:

Mandatory Skills:

• 7+ years Senior engineer with emphasis on FPGA design, development, and testing

• Develop requirements, design documentation, and test documentation

• Perform VHDL analysis, develop test bench, simulation, and on-target testing

• Perform FPGA Synthesis, place, route and timing analysis of FPGA designs

Primary Skills:

• Strong technical knowledge related to FPGA development and verification

• Knowledge of chip architecture and design, FPGA tool flow, VHDL, Python/Perl/Tcl, and debugging.

• Solid understanding of industry standard interfaces (e.g, DDR, PCI, I2C, UART and Ethernet, etc.)

• Proven ability to complete tasks and helping team members

• Excellent hardware and software debugging skills

• Familiar with test equipment (e.g. oscilloscopes, logic analysers)

• Working knowledge of Xilinx development tools set

• Working knowledge with LabVIEW and LabVIEW a plus

• Have familiarity with DO-254 process

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

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act

• Los Angeles City Fair Chance Ordinance

• Los Angeles County Fair Chance Ordinance for Employers

• San Francisco Fair Chance Ordinance