Sr. DFT Design Engineer, AWS Machine Learning Acceleration
Senior mechanical engineer job in Austin, TX
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
As a member of the Silicon Optimization Engineering Team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilities
• Develop, implement and verify state-of-the-art Design for Test (DFT) architectures
• Work with block designers to integrate DFT implementations
• Work with physical design team to setup and implement DFT insertion flow
• Develop high coverage and cost effective DFT methodologies
• Perform RTL coding and Verification
• Participate in Silicon debug and write scripts to effectively handle ATE related data
• Communicate and work with team members across multiple disciplines
About the team
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
BASIC QUALIFICATIONS- BS degree in EE, CE, or CS
- 5+ years of practical DFT experience with large processor and/or SoC designs
- Knowledge about industry standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time
- Experience with automation script development
PREFERRED QUALIFICATIONS- MS degree in EE, CE or CS
- Good breadth of knowledge in chip design from micro-architecture through physical design
- Good knowledge of design verification (DV) simulation methodologies
- Experience with large gate-level simulation setup and debug with SDF
- Strong programming and scripting skills in Perl, Python or Tcl
- Experience with industry standard DFT/SCAN/ATPG tools
- Experience with STA constraints development and analysis for DFT modes
- Practical experience with silicon debug
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
Mechanical Design Engineer
Senior mechanical engineer job in Houston, TX
Mechanical Engineer
Houston, Texas
$90,000 - $110,000 + Training + Progression + Annual Bonus + Fantastic Benefits Package
Excellent role on offer for an ambitious mechanical engineer who is looking to join a dynamic, expanding engineering firm where you will work on high-profile, exciting projects with a company that will support your growth and put you through your PE license.
Are you a mechanical engineer with experience in MEP? Are you looking to join a company that is going to provide you full support to gain your PE license?
This well-established engineering firm is one of the most exciting design consultancies in Texas. They are a highly prestigious firm specializing in commercial MEP projects. Their employees have always been at the forefront of the business, and they have gained an outstanding reputation for developing and promoting from within. Due to growth, they are now looking to recruit a mechanical designer to develop and work within their well-established design team.
This position is office-based. You will be responsible for working on several projects simultaneously, collaborating with the senior engineer, and assisting working on designs. You will receive a structured progression plan from the day you join, outlining your path toward management.
This is an exciting opportunity for an ambitious mechanical engineer to join a rapidly expanding business offering clear progression into a Department Manager role. This position would suit someone with MEP experience who is looking to advance into management.
The Role:
• Mechanical Design Engineer
• Office-based position
• Collaborating with Project Management teams and clients on plans and designs
The Person:
• Experience with Revit / MEP
• Desire for structured training and progression
• Desire to gain your PE license
Principal Engineer
Senior mechanical engineer job in Plano, TX
We are seeking a visionary and technically accomplished Principal Software Engineer to lead the design and development of scalable software solutions that power our core operations. This role demands deep expertise in cloud platforms, database architecture, and fullstack development, along with a proven ability to mentor teams and drive strategic technical initiatives.
Key Responsibilities
Architect and lead the development of robust, scalable software applications across the full stack.
Drive technical strategy and decision-making in collaboration with engineering leadership and cross-functional stakeholders.
Mentor and guide software engineers, fostering a culture of technical excellence, code quality, and continuous improvement.
Optimize system performance and scalability through thoughtful design, profiling, and refactoring.
Oversee database design and integration, including messaging systems and high-performance SQL query optimization.
Lead cloud deployment strategies using AWS and Azure, ensuring reliability, security, and cost-efficiency.
Champion DevOps practices, automation, and CI/CD pipelines to streamline development and deployment workflows.
Identify and resolve complex technical issues, ensuring system resilience and maintainability.
Qualifications
Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's preferred).
10+ years of software engineering experience, with a strong track record of technical leadership.
Expertise in JavaScript tech stack (React, Node.js) and modern fullstack development.
Advanced proficiency in SQL, database design, and performance tuning.
Deep experience with cloud platforms (AWS, Azure) and distributed systems.
Strong understanding of software architecture, design patterns, and system integration.
Exceptional problem-solving skills, with a strategic mindset and attention to detail.
Excellent communication and collaboration abilities across technical and non-technical teams.
Demonstrated experience in mentoring, leading teams, and influencing engineering culture.
Teradata Lead Engineer
Senior mechanical engineer job in Plano, TX
Must Have Technical/Functional Skills
• Design Scalable Data Warehousing Solutions using Teradata.
• Develop and maintain normalized (3NF) and dimensional models.
• Optimize physical models and fine tune queries for performance.
• Design and develop Tera Data ETL jobs and data pipeline.
• Design, Develop and support enterprise data warehouse solutions leveraging Teradata and Teradata tools and utilities.
• Extracting data from various data sources, transforming, and loading it into target systems.
• Ensuring data quality, integrity, and consistency across different systems.
• Developing and maintaining data warehouses, data lakes and data mart architecture.
• Optimizing ETL processes for performance, scalability and reliability.
• SQL proficiency (intermediate skill level minimum)
• Ability to manage Teradata/SQL Server/ Oracle database migration including code migration, data loads and server retirements.
• Troubleshooting and resolving data integration issues
• Solid skills with writing/translating SQL queries and SQL data validation.
• Performance tuning of SQL queries.
• Defining, managing, and monitoring job schedules, as well as troubleshooting issues within the Autosys environment
• Understanding and implementing job schedules, dependencies, and workflows within Autosys
• Analyzing and resolving issues with Autosys jobs and processes
Roles & Responsibilities
• Optimizing Database jobs for performance by collaborating with DBAs and implementing SQL coding and design changes within the job structure.
• Actively participated in troubleshooting and resolving issues related to data loading delays and database server outages, ensuring minimal disruption to data flow and system operations.
• Engaged in periodic reviews of job logs and performance metrics to identify trends, proactively addressing potential issues.
• Troubleshooting production issues through meticulous job log reviews, implementing necessary design changes via change management and adhering to the code promotion process.
• Contributed to the development and maintenance of documentation for troubleshooting procedures, best practices, and system configurations, facilitating knowledge sharing within the team and managing Change Requests
• Resolving data issues arising from load delays or database server downtimes, with a focus on ensuring customer satisfaction.
• Collaborated with stakeholders to understand business requirements, providing valuable insights and recommendations for optimizing data processing workflows.
Base Salary Range: $120,000 - $140,000 per an num
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.
Senior Machine Learning Engineer
Senior mechanical engineer job in Austin, TX
Staff Machine Learning Engineer - LLMs / Mixture-of-Experts
(Hybrid Austin, US Citizens Only)
The Role
Are you excited by the challenge of pushing the boundaries of what modern AI models can do - especially when data is limited? A fast-growing AI platform is looking for a Staff Machine Learning Engineer to help shape the next generation of large-scale intelligent systems.
In this role, you'll take the lead on developing advanced Large Language Models (LLMs) and Mixture-of-Experts (MoE) architectures, driving innovation that directly influences product capabilities and performance. If you thrive at the intersection of research and real-world impact, you'll feel right at home here.
This hybrid role is based in Austin, Texas, with relocation support available for qualified candidates. U.S. citizenship is required due to work involving security-sensitive projects.
What You'll Work On
Architect, train, and optimize cutting-edge LLMs and MoE-based systems.
Experiment with novel algorithms to improve efficiency, scalability, and model performance.
Collaborate closely with engineering and product teams to deploy ML capabilities into production.
Contribute to pioneering research in ML and NLP, driving methodological advancements.
Mentor engineers and help shape technical best practices across the organisation.
What We're Looking For
Advanced degree in Computer Science or a related field (PhD preferred).
6+ years of industry experience building and deploying machine learning models at scale.
Deep expertise in LLMs, Mixture-of-Experts architectures, and modern ML frameworks such as PyTorch or TensorFlow.
Demonstrated innovation through impactful research, patents, or production-grade ML systems.
Ability to lead complex, cross-functional technical initiatives.
Strong problem-solving skills and a passion for pushing the boundaries of AI.
Bonus Skills
Publications or conference presentations at leading ML/NLP venues such as NeurIPS, ICML, ICLR, AAAI, EMNLP, NACL, ACL, EACL, CoNLL, or similar.
Experience with cloud platforms (AWS, Azure, GCP) and distributed computing tools (Spark, Hadoop).
Familiarity with containerization and orchestration (Docker, Kubernetes).
Why You'll Love It
You'll join a team that embodies transparency, ownership, tenacity, and humility - values that guide both technical decision-making and collaboration.
You'll also enjoy:
Competitive compensation and performance incentives
Comprehensive medical, dental, and vision benefits
Monthly wellness stipend + annual continuing education credit
A flexible work environment and unlimited approved PTO
Parental and bereavement leave and other employee support programs
This role is hybrid in Austin with relocation assistance offered for the right candidate.
Only U.S. citizens are eligible due to the security clearance requirements.
Project Engineer / Solutions Delivery (MSP Experience Required)
Senior mechanical engineer job in Houston, TX
Houston, TX - Onsite | $120,000 + Full Benefits
About the Company
Join a high-growth Managed Services Provider specializing in secure, modern cloud environments. This MSP has recently broken past the typical mid-market growth ceiling and is now scaling with purpose-backed by proven enterprise leadership, mature cloud security practices, and a strong client base in architecture, engineering, and construction. With an engineering-forward culture and a commitment to delivering polished, business-aligned solutions, this is a place where technical talent can truly influence outcomes and grow.
About the Role
We're hiring a Project Engineer / Solutions Delivery professional to own the design and delivery of infrastructure and cloud projects across hybrid environments. You will bridge the gap between high-level strategy and hands-on execution-partnering closely with the vCIO while guiding delivery teams with clear scopes, architectures, and project plans.
What You'll Do
Scope, design, and deliver infrastructure and hybrid cloud projects
Lead client-facing discovery sessions and translate business needs into actionable project plans
Architect solutions including networking, routing/switching, M365, backup/recovery, virtualization, SANs, site-to-site VPNs, and hybrid cloud topologies
Define project phases, manage timelines, coordinate internal resources, and ensure thorough documentation and closeout
Serve as a technical point of authority during project lifecycle
What You Bring
Must have MSP industry experience
Strong background in hybrid infrastructure, cloud technologies, and project delivery
Ability to communicate confidently with clients and internal teams
A polished, architecture-minded approach to designing scalable solutions
Benefits
401(k) with employer matching
Medical, dental, and vision coverage
Health Savings Account
Life insurance
Generous paid time off
Career growth within a fast-scaling, engineering-centric MSP
If you're a solutions-driven engineer who thrives in high-growth environments and enjoys shaping modern cloud and infrastructure projects from concept to completion, we'd love to connect.
Senior IAM Engineer
Senior mechanical engineer job in Plano, TX
Direct Hire (No C2C or third-party submissions)
Schedule: 2 days onsite weekly
As a Senior IAM Engineer, you will design and implement solutions that address enterprise and cloud cyber risk requirements, with a primary focus on our SailPoint IdentityNow deployment. This role involves delivering SailPoint/IGA integrations with ServiceNow and connecting SailPoint to core systems such as Workday and Azure Active Directory. The ideal candidate will have deep expertise in SailPoint implementation and a strong development/engineering background-specifically in Java and object-oriented programming.
Requirements:
Proven experience integrating SailPoint IdentityNow with CyberArk, Azure AD, ServiceNow, and developing APIs for SailPoint functionalities.
Strong proficiency with RESTful web services, SAML 2.0, SailPoint IdentityNow, OAuth, WS-Security, and other authentication/authorization protocols.
Exceptional communication skills and a track record of collaborating effectively with clients and partners.
Expert-level knowledge of IAM protocols, including SCIM, Web Services, WS-Fed, SAML, OpenID Connect, and OAuth.
Bachelor's degree preferred, or a minimum of 7+ years of hands-on Identity & Access Management (IAM) deployment and engineering experience.
Duties:
Design and implement SailPoint IdentityNow or IdentityIQ (IIQ) solutions and access management frameworks to meet organizational requirements.
Architect and deploy CyberArk solutions, including Enterprise Password Vault (EPV), Privileged Session Manager (PSM), and Privileged Threat Analytics (PTA).
Collaborate with application teams to identify, aggregate, and correlate application/system user accounts with identity cubes in SailPoint.
Configure and develop SailPoint modules such as audit, compliance, lifecycle management, and service account management.
Design, develop, test, and troubleshoot custom system/application connectors within SailPoint IdentityNow.
Demonstrate product expertise in SailPoint IIQ, CyberArk, Microsoft Active Directory, relational databases (Oracle, SQL Server, MySQL, DB2), Java, BeanShell, REST APIs, and web services.
Diagnose and resolve technical issues related to SailPoint and CyberArk platforms.
Perform regular audits and reviews to ensure compliance with security policies and standards.
Create and maintain documentation for processes, procedures, and system configurations.
Mentor and train junior team members on best practices and technologies related to SailPoint and CyberArk.
Senior Cybersecurity Engineer
Senior mechanical engineer job in Austin, TX
This is an onsite role, 5 days a week. Competitive compensation and benefits. Sponsorship is not available for this role.
The Senior Cybersecurity Engineer will act as the primary architect of our organization's digital defense, bridging the gap between Enterprise IT, Cloud Development, and Operational Technology (OT). This role is responsible for operationalizing our security strategy, advising our software development pipeline, and advising on the protection of industrial control systems. This role leads the technical implementation of CMMC 2.0 compliance while ensuring our manufacturing and cloud applications remain resilient against modern threats.
Responsibilities:
Secure Microsoft Azure environments by managing Entra ID (Identity), Defender for Cloud, and Sentinel. Configure and audit conditional access policies and resource grouping
Own the roadmap to CMMC Level 2 assessment readiness. Manage the System Security Plan (SSP) and Plan of Action and Milestones (POAMs) specifically for Defense Industrial Base (DIB) requirements
Conduct continuous security risk assessments, bridging the gap between technical vulnerabilities (CVSS scores) and business impact
Oversee the lifecycle of vulnerability management, from scanning to patch verification, working closely with infrastructure teams to minimize downtime
Develop and enforce policies regarding the use of Generative AI tools (LLMs) within the enterprise to prevent data leakage and IP loss
Collaborate with development teams to integrate security scanners (SAST/DAST) into the CI/CD pipeline, ensuring Security by Design
Translate complex cyber metrics into a "Risk Scorecard" for leadership, highlighting ROI on security investments and current threat levels
Champion security awareness training, running phishing simulations and tabletop exercises to build organizational resilience
Engage with key stakeholders in the development of contingency plans, business continuity strategies, and disaster recovery efforts, ensuring our organization's resilience
Basic Qualifications:
Bachelor's degree in computer science, information systems, or related degree
Minimum 6 years of technical security experience
Minimum 2 years specifically managing cloud security (Azure preferred)
Proven experience preparing an organization for CMMC, NIST 800-171, or ISO 27001 audits
Qualifications and Experience:
Expert knowledge of NIST 800-171, CMMC 2.0, and SOC 2 standards
Direct experience securing Microsoft Azure infrastructure
Ability to manage risk assessments and threat modeling
Skilled in writing technical policies, procedures, and SSPs
Experience coordinating third-party audits and external assessments
Knowledge of DevSecOps pipelines and OT/Industrial security
Ability to work both independently and collaboratively, and handle ambiguity
Excellent communication skills and ability to succinctly present recommendations
Strong ability to prioritize competing deadlines in a fast-paced environment
Adaptability to perform additional duties as business needs evolve
We are an Equal Opportunity Employer and consider all qualified applicants for employment without discrimination based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ethnicity, genetic background, age, marital status, veteran status, disability, or any other legally protected status. When needed, reasonable accommodation will be made to help individuals with disabilities fulfill essential responsibilities.
Japanese Speaking Project Engineer
Senior mechanical engineer job in Dallas, TX
Gray Construction is looking to add a Japanese Speaking Project Engineer with a Mechanical Engineering background to their Charlotte, NC or Atlanta, GA office. Responsibilities Why Gray? Gray is a fully integrated, global service provider deeply rooted in engineering, design, and construction, along with smart manufacturing and equipment manufacturing services. Consistently ranked as a leader in the industry, we focus on the following markets for domestic and international customers: Food & Beverage , Manufacturing , Data Centers , Distribution , Commercial and Advanced Technology .
Founded in 1960, Gray has grown to encompass a complementary family of brands designed to augment and enhance each other's specialized capabilities without gaps or redundancies. Our robust offering-which includes strategy, operational improvements, construction, extensive engineering, automation & controls, and equipment manufacturing-enables us to create one-of-a-kind solutions at the highest levels of customization, delivering unmatched precision and partnership to some of the world's most sophisticated organizations.
Develop, update and monitor job progress using QMS program, including scheduling, estimating and budgeting to ensure that construction of project parallels with schedule.
Perform quantity take off(s), cost estimates and bid solicitation.
Provide research options and regulation information as required.
Purchase and coordinate the delivery of certain materials for the project(s) ensuring optimum prices, quality and conformance to specifications and budget.
Reviews and approves invoices and change orders.
Negotiate with subcontractors and vendors for specific trades ensuring that all scope is encompassed.
Review vendor and subcontractor shop drawing submittals for construction as directed by the supervisor.
Relocate to specific job sites (if required) in order to become familiar with procurement and construction practices.
Attend weekly job site meetings. Assist in the preparation of various reports to assist in the successful management of the project(s), such as: monthly red files, progress analysis/schedules, billings and status reports.
Assist in the organization and maintenance of job files to ensure continuity of work flow. Submit verbal and written reports on project status to supervisor.
Communicate effectively with customer, direct consultants and subcontractors on the project(s).
Responsible for the communication, implementation and enforcement of Gray's safety program on site.
Other duties may be assigned.
Qualifications
Bachelor's degree from four-year college or university and a minimum of three years related experience.
Must possess basic computer skills including the ability to utilize word processing, spreadsheet and e-mail applications. May also require working knowledge of scheduling applications.
The new team member should be an energetic, self-motivated individual who enjoys a team environment, as well as a passion for collaboration and professional development. If you are a high achiever striving to exceed expectations in a fast-paced innovative company, then Gray is the place for you.
The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be physically present in Birmingham office.
Physical Demands & Work Environment
The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this position, the team member is frequently required to stand, walk, sit, use hands and arms, reach, and talk or hear. They are regularly required to climb or balance, stoop, kneel, or crouch. Must frequently lift and/or move up to 25 lbs, and occasionally lift or move up to 100 lbs. Specific vision abilities include accurate near and distant vision.
Frequently in a normal office environment where noise level is moderate and temperature/humidity is controlled. Occasionally exposed to wet and/or humid conditions, moving mechanical parts, and outside weather conditions. May be exposed to high, precarious places, fumes or airborne particles, extreme cold and/or heat, risk of electrical shock, explosives and vibrations. Noise level on the job site is normally moderate to loud. Overtime may be required. Some travel may be required.
Supervisory Responsibilities
Indirectly supervises the activities of subcontractors and field personnel.
EEO Disclaimer
Gray is proud to be an Equal Opportunity Employer and welcomes everyone to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Senior Java BE Engineers (Java, Spring Boot, MongoDB) Contract at Austin TX On Site
Senior mechanical engineer job in Austin, TX
Senior Java BE Engineers (Java, Spring Boot, MongoDB)
Austin TX On Site
- Amazon Web Services (AWS)
- Amazon Web Services EKS (AWS EKS)
- AWS-EC2Full Stack-Java - Git - GitHub - Grafana - Kafka - MongoDB - Redis
- Splunk - Spring - Spring Boot - Spring Web Services
- Experience working with a Platform that spans across multiple tenants like Support
Communities, Developer Forums, and Education Forums.
- Must-Have: 10+ more years with Java
- 5+more years with Mongo, and hands on experience with AI tools like [ RooCode and Claude ]
- design and development of highly available, distributed and scalable enterprise systems.
- SpringBoot, Redis, MongoDB, Kafka, and MicroServices architecture.
- AWS deployments, scaling and EKS cluster management
- GIT, PR process, CI/CD Pipelines and deployments.
- Experience and strong knowledge in developing high throughput, high performance, and zero downtime systems.
- Experience in performance tuning of the applications including JVM tuning, memory profiling, deadlocks and heap analysis.
- Strong knowledge of customer facing web application development, HTTP specs, Load- balancing and understanding of CDN.
- Experience with Java test frameworks such as JUnit and test NG and Familiarity with automated testing methodologies and frameworks.
- Familiarity with template driven rendering and client and server side MVC architectures
- Familiarity with Splunk for investigating or monitoring problems on systems.
- Thorough understanding of Software Development Lifecycle, tools and agile methodologies.
- Sharp troubleshooting skills and real world systems deployment experience.
Principal Kubernetes Engineer-- CDC5697515
Senior mechanical engineer job in Dallas, TX
Minimum Qualifications - Education & Prior Job Experience
Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
5+ years of experience designing, developing, and implementing large-scale solutions in production environments
Preferred Qualifications - Education & Prior Job Experience
Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
Airline Industry experience
Experience working as a platform engineer or in close collaboration with platform engineers
Skills, Licenses, and Certifications
Proficiency with the following technologies:
Programming Languages: Go, Python, React
Deployment Technologies: Kubernetes, Docker
Source Control: GitHub
CICD: GitHub Actions
Data management: PostgreSQL, MongoDB, Redis
Integration/APIs Technologies: Kafka, REST, GraphQL
Cloud Providers such as Azure and AWS
Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity
Ability to concisely convey ideas verbally, in writing, in code, and in diagrams
Ability to optimize system designs spanning multiple teams to allow small, safe, incremental releases
Ability to work through others by cooperatively sharing responsibilities
Ability to combines deep knowledge of a product domain with awareness of advancing technology to introduce solutions that propel the technical capability of the organization forward.
Proficiency in object-oriented design techniques and principles
Proficiency in Agile methodologies, such as SCRUM
Proficiency in DevOps Toolchain methodologies, including Continuous Integration and
Continuous Deployment
Databricks Lead - Data Engineering
Senior mechanical engineer job in Dallas, TX
Job Title: Databricks Lead - Data Engineering
As a Databricks Lead, you will be a critical member of our data engineering team, responsible for designing, developing, and optimizing our data pipelines and platforms on Databricks, primarily leveraging AWS services. You will play a key role in implementing robust data governance with Unity Catalog and ensuring cost-effective data solutions. This role requires a strong technical leader who can mentor junior engineers, drive best practices, and contribute hands-on to complex data challenges.
Responsibilities:
* Databricks Platform Leadership:
* Lead the design, development, and deployment of large-scale data solutions on the Databricks platform.
* Establish and enforce best practices for Databricks usage, including notebook development, job orchestration, and cluster management.
* Stay abreast of the latest Databricks features and capabilities, recommending and implementing improvements.
* Data Ingestion and Streaming (Kafka):
* Architect and implement real-time and batch data ingestion pipelines using Apache Kafka for high-volume data streams.
* Integrate Kafka with Databricks for seamless data processing and analysis.
* Optimize Kafka consumers and producers for performance and reliability.
* Data Governance and Management (Unity Catalog):
* Implement and manage data governance policies and access controls using Databricks Unity Catalog.
* Define and enforce data cataloging, lineage, and security standards within the Databricks Lakehouse.
* Collaborate with data governance teams to ensure compliance and data quality.
* AWS Cloud Integration:
* Leverage various AWS services (S3, EC2, Lambda, Glue, etc.) to build a robust and scalable data infrastructure.
* Manage and optimize AWS resources for Databricks workloads.
* Ensure secure and compliant integration between Databricks and AWS.
* Cost Optimization:
* Proactively identify and implement strategies for cost optimization across Databricks and AWS resources.
* Monitor DBU consumption, cluster utilization, and storage costs, providing recommendations for efficiency gains.
* Implement autoscaling, auto-termination, and right-sizing strategies to minimize operational expenses.
* Technical Leadership & Mentoring:
* Provide technical guidance and mentorship to a team of data engineers.
* Conduct code reviews, promote coding standards, and foster a culture of continuous improvement.
* Lead technical discussions and decision-making for complex data engineering problems.
* Data Pipeline Development & Optimization:
* Develop, test, and maintain robust and efficient ETL/ELT pipelines using PySpark/Spark SQL.
* Optimize Spark jobs for performance, scalability, and resource utilization.
* Troubleshoot and resolve complex data pipeline issues.
* Collaboration:
* Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver solutions.
* Communicate technical concepts effectively to both technical and non-technical stakeholders.
Qualifications:
* Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative field.
* 7+ years of experience in data engineering, with at least 3+ years in a lead or senior role.
* Proven expertise in designing and implementing data solutions on Databricks.
* Strong hands-on experience with Apache Kafka for real-time data streaming.
* In-depth knowledge and practical experience with Databricks Unity Catalog for data governance and access control.
* Solid understanding of AWS cloud services and their application in data architectures (S3, EC2, Lambda, VPC, IAM, etc.).
* Demonstrated ability to optimize cloud resource usage and implement cost-saving strategies.
* Proficiency in Python and Spark (PySpark/Spark SQL) for data processing and analysis.
* Experience with Delta Lake and other modern data lake formats.
* Excellent problem-solving, analytical, and communication skills.
Added Advantage (Bonus Skills):
* Experience with Apache Flink for stream processing.
* Databricks certifications.
* Experience with CI/CD pipelines for Databricks deployments.
* Knowledge of other cloud platforms (Azure, GCP) is a plus.
What We Offer:
* Competitive salary and benefits package.
* Opportunity to work on challenging and impactful data initiatives.
* Collaborative and innovative work environment.
* Professional development and growth opportunities.
[Company Name] is an Equal Opportunity Employer.
Senior Cloud Engineer (GCP)
Senior mechanical engineer job in Dallas, TX
Cloud Architect (Google Cloud Platform - GCP)
Client: IT Service Partner
Engagement: Contract (C2C)
Pay Rate: $55-57.50/hour (C2C)
About the Role
We are seeking an experienced Cloud Architect with deep expertise in Google Cloud Platform (GCP) to support enterprise-level cloud strategy and modernization initiatives for our client, Cognizant. This role will focus on designing, developing, and managing scalable and secure cloud solutions that enable high-performance, resilient, and cost-optimized environments.
As a Cloud Architect, you will lead cloud migration efforts, define architecture standards, guide engineering teams, and ensure best practices across security, automation, and infrastructure-as-code. This is an excellent opportunity to contribute to high-impact digital transformation programs within a global technology organization.
Key Responsibilities
Architect, design, and implement cloud solutions on Google Cloud Platform (GCP), ensuring scalability, reliability, and performance.
Lead and oversee cloud migration projects, including assessments, planning, execution, and optimization.
Collaborate closely with cross-functional teams (engineering, security, DevOps, product) to ensure alignment with business and technical objectives.
Develop architecture diagrams, best-practice documentation, and technical standards to support cloud adoption.
Evaluate business requirements and translate them into secure, efficient cloud solutions.
Maintain strong governance around cloud security, compliance, and resiliency frameworks.
Leverage automation and infrastructure-as-code tools (Terraform, Ansible, Deployment Manager, etc.) to streamline deployments and operations.
Monitor cloud systems and optimize performance, cost, and security posture.
Provide technical leadership, mentoring, and guidance to engineering teams and stakeholders.
Required Skills & Experience
5+ years of hands-on experience as a Cloud Architect or senior cloud engineer.
Strong expertise across GCP services (Compute Engine, Cloud Storage, GKE, VPC, IAM, BigQuery, Cloud Run, Cloud Functions, etc.).
Deep knowledge of cloud security, identity and access management, and compliance controls.
Demonstrated experience leading cloud migration and modernization initiatives.
Proficiency with Infrastructure-as-Code (Terraform, Deployment Manager, Ansible).
Strong background in automation, CI/CD, networking fundamentals, and system design.
Excellent communication, documentation, and problem-solving skills.
Preferred Qualifications
GCP Professional Cloud Architect certification (or equivalent).
Experience in large enterprise environments or consulting organizations.
Familiarity with multi-cloud or hybrid-cloud architectures.
Senior WLAN Engineer
Senior mechanical engineer job in Dallas, TX
Senior WLAN Engineer (High-Density Wi-Fi / RF Optimization)
Contract | Onsite 3 Days/Week | Dallas-Area
A global technology organization specializing in large-venue connectivity is seeking a Senior WLAN Engineer to join their advanced wireless engineering team. This role centers around designing, commissioning, optimizing, and supporting high-density Wi-Fi networks across complex, large-scale environments.
You will collaborate closely with cross-functional engineering teams and customer stakeholders to ensure exceptional wireless performance, reliability, and user experience across mission-critical deployments.
What You'll Be Doing:
Design, engineer, and support enterprise-grade WLAN and Wi-Fi infrastructures across large commercial venues.
Perform peer reviews of predictive RF models using industry-standard wireless design tools.
Conduct onsite and remote site surveys, spectrum analysis, and performance assessments.
Configure and optimize Cisco, Ruckus, and Extreme wireless platforms and their respective controllers.
Provide installation guidance to field teams on access point placement, antenna selection, cabling, and wireless hardware setup.
Deliver operational support, configuration updates, troubleshooting, and change implementations.
Plan, commission, and optimize high-density Wi-Fi environments, including point-to-point wireless links.
Implement WLAN features such as Secure Mobility, Voice over WLAN, Guest Access, and Passpoint/Hotspot 2.0.
Perform RF channel planning, static assignments, and power-level optimization.
Apply best practices across 2.4GHz, 5GHz, and 6GHz deployments.
Evaluate wireless hardware, antennas, and related network components.
Manage priorities and deliver high-quality work within project timelines.
Produce detailed technical documentation for designs, standards, and operational procedures.
Contribute to internal best-practice guidelines and engineering playbooks.
Requirements:
6+ years of hands-on experience designing, deploying, and optimizing WLAN networks in enterprise, MSP, campus, or high-density environments.
Deep expertise in Wi-Fi/RF architecture, RF optimization, and wireless troubleshooting.
Experience with:
Cisco Wireless Controllers (9800/8510/8540)
Ruckus SmartZone / vSZ
Extreme Networks wireless platforms
Strong understanding of 802.11 standards (b/g/n/ac/ax/be) and point-to-point wireless technologies.
Advanced troubleshooting capability in complex wireless environments.
Experience deploying:
Secure Mobility
Voice over WLAN
Guest Access
Passpoint / Hotspot 2.0
Proficiency with Ekahau and modern spectrum analysis tools.
Knowledge of Cisco routing/switching and TCP/IP networking (preferred).
Strong customer-facing communication skills with both technical and non-technical audiences.
Excellent written and verbal communication.
Proficiency with standard documentation tools (e.g., Office, Visio).
Degree in Computer Science, Electrical Engineering, or equivalent experience.
Why This Opportunity?
Work on large-scale, high-density wireless environments with significant technical impact.
Join a team that values innovation, structured design, and engineering excellence.
Gain exposure to next-generation wireless technologies, including the expansion of 6GHz and emerging WLAN standards.
Hands-on involvement in complex RF challenges across diverse commercial venues.
AI Engineering Lead
Senior mechanical engineer job in Dallas, TX
Lead the design and development of AI solutions, driving innovation and technical excellence from concept through implementation. Guide the build of advanced ML/LLM applications, ensuring high performance, quality, and safety. Partner closely with cross-functional teams to translate business priorities across AI ‘plays' into scalable AI products. Mentor and direct a small, high-performing engineering team to deliver impact quickly and reliably.
Position Responsibilities:
§Provide deep into into AI strategy and planning
§Lead development of AI algorithms
§Optimize performance of AI models
§Collaborate cross-functionally
§Stay updated with research & innovation
§Drive architecture and prototyping of LLM applications
§Stand up data ingestions, managing integration with wider Catalyst systems
§Own delivery of use cases
§Implement quality and safety framework
•Senior manager
•Reports to Head of AI
•Leads 2-6 engineers per development pod
Requirements:
§Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field
§Proficiency in agentic frameworks
§Extensive experience in designing and implementing AI models
§Strong programming skills, e.g., Python/TypeScript
AI/ML Lead Engineer
Senior mechanical engineer job in Richardson, TX
Role: AI/ML Lead Engineer - FTE
Job Details
We're seeking a AI/ML Lead Engineer to lead the design and implementation of scalable, intelligent systems that solve sophisticated business problems.
This role is pivotal in transforming data into actionable insights using advanced machine learning, generative AI, and conversational technologies.
Responsibilities:
Business Analytics & Intelligence: Analyze large datasets to uncover trends, patterns, and insights using statistical and machine learning techniques.
Model Engineering: Design, train, and deploy ML models, classifiers, and algorithms for predictive analytics, anomaly detection, and optimization.
Generative & Agentic AI: Build and operationalize generative AI and agentic frameworks using RAG pipelines, vector databases, and prompt chaining.
Conversational AI Development: Architect and fine-tune intelligent virtual assistants and multi-turn dialogue systems using LLMs, transformers, and knowledge graphs.
Knowledge Graph Integration: Leverage semantic modeling and graph databases to enhance contextual understanding and retrieval in AI systems.
Enterprise Fine-Tuning: Apply domain-specific fine-tuning techniques (DPO, ORPO, SPIN) to align LLMs with enterprise knowledge and workflows.
AI Infrastructure: Develop robust ML pipelines using AI/ML Ops tools
Risk Mitigation: Identify and address risks in AI/ML systems including bias, drift, and adversarial vulnerabilities. Implement safeguards and monitoring strategies.
Multi-functional Collaboration: Work with data scientists, engineers, and business collaborators to align AI solutions with strategic goals.
Collaborator Involvement: Present captivating demonstrations and recommendations to business collaborators, translating technical insights into strategic suggestions.
Research & Innovation: Stay ahead of the curve by exploring emerging trends in AI safety, interpretability, and bias mitigation.
Expectations:
To perform this job optimally, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
5+ years of experience in AI/ML engineering, with a solid base in Python
Proficient in ML libraries & toolkits, predictive modeling, pattern recognition, analytics, etc.
Proven experience with LLMs, NLP, and generative AI frameworks
Understanding of neural network architectures including CNNs, RNNs, transformers, and attention mechanisms.
Expertise in knowledge graph construction and integration with conversational systems.
Familiarity with MLOps, model lifecycle management, and secure data governance practices.
Experience with cloud platforms (Azure, AWS, GCP), containerization (Docker/Kubernetes), and CI/CD pipelines.
Strong communication and leadership skills to drive multi-functional initiatives and present to executive audiences.
Generative AI Engineer
Senior mechanical engineer job in Richardson, TX
Crossing Hurdles is a global recruitment firm that partners with US-based companies to help them hire high-quality talent across technology and business functions. We work closely with fast-growing teams to identify professionals who can deliver impact in complex, high-ownership roles.
Location: Richardson, TX / Remote
Employment Type: Full-Time
Seniority: Mid-Senior to Senior
Experience: 8+ years overall (2-3+ years in GenAI/AI systems)
About the Role
As a Generative AI Engineer, you will be a core member of a high-impact engineering pod, responsible for building and integrating agentic AI systems powered by advanced LLM and Generative AI technologies. You will collaborate closely with Tech Leads and Full Stack Engineers to convert AI capabilities into production-ready, enterprise-grade solutions.
What You'll Be Working On
Designing, developing, and deploying agentic AI systems using modern LLM frameworks
Integrating Generative AI models into full-stack applications and internal workflows
Collaborating on prompt engineering, model fine-tuning, and evaluation
Building reusable components for multi-agent orchestration and task automation
Optimizing AI inference pipelines for scalability, latency, and cost efficiency
Participating in architectural discussions and contributing to the technical roadmap
Must-Have Experience
8+ years of software engineering experience
2-3+ years of hands-on experience with AI/ML or Generative AI systems in production
Strong experience using Python for AI/ML integration
Hands-on with LangChain and LlamaIndex
Experience with agentic frameworks such as LangGraph or Google ADK
Understanding of Git, CI/CD, DevOps, and production-grade AI deployment
Familiarity with Google Cloud Platform (Vertex AI, Cloud Run, GKE)
Nice to Have
Experience with embeddings, vector databases, and AI APIs
Fine-tuning open-source LLMs (LLaMA, Mistral) or working with OpenAI APIs
Exposure to multimodal AI systems (text, image, voice)
Familiarity with low-code/no-code workflow tools
Why This Role
Work on real-world, production AI systems
High ownership and hands-on technical impact
Opportunity to build and scale enterprise-grade GenAI solutions
Collaborate with senior engineers on complex AI problems
Generative AI Engineer
Senior mechanical engineer job in Richardson, TX
As a Generative AI Engineer, you'll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You'll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions.
Key Responsibilities
Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks.
Integrate GenAI models into full-stack applications and internal workflows.
Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs.
Build reusable components and services for multi-agent orchestration and task automation.
Optimize AI inference pipelines for scalability, latency, and cost efficiency.
Participate in architectural discussions, contributing to the pod's technical roadmap.
Core Skills & Experience
Must Haves
8 years of software engineering experience with at least 2-3 years in AI/ML or GenAI systems in production
Hands-on experience with Python only for AI/ML model integration.
Experience with LLM frameworks (LangChain, LlamaIndex is a must)
Exposure to agentic frameworks (Langgraph, Google ADK, is a must)
Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices.
Familiarity with Google Cloud Platform (GCP) - e.g. Vertex AI, Cloud Run, and GKE.
Good-to-Have
Experience building AI APIs, embeddings, vector search, and integrating them into applications.
Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with OpenAI APIs.
Exposure to multi-modal AI systems (text, image, or voice).
Familiarity with Low-Code/No-Code tools (e.g., AppSheet) for workflow integration.
Generative AI Engineer
Senior mechanical engineer job in Richardson, TX
57001 Richardson, TX -onsite
As a Generative AI Engineer, you'll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You'll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions.
Key Responsibilities
Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks.
Integrate GenAI models into full-stack applications and internal workflows.
Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs.
Build reusable components and services for multi-agent orchestration and task automation.
Optimize AI inference pipelines for scalability, latency, and cost efficiency.
Participate in architectural discussions, contributing to the pod's technical roadmap.
Core Skills & Experience
Must Haves
8 years of software engineering experience with at least 2-3 years in AI/ML or GenAI systems in production
Hands-on experience with Python only for AI/ML model integration.
Experience with LLM frameworks (LangChain, LlamaIndex is a must)
Exposure to agentic frameworks (Langgraph, Google ADK, is a must)
Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices.
Familiarity with Google Cloud Platform (GCP) - e.g. Vertex AI, Cloud Run, and GKE.
Good-to-Have
Experience building AI APIs, embeddings, vector search, and integrating them into applications.
Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with OpenAI APIs.
Exposure to multi-modal AI systems (text, image, or voice).
Familiarity with Low-Code/No-Code tools (e.g., AppSheet) for workflow integration.
Senior AI/ML Engineer
Senior mechanical engineer job in Irving, TX
Job description below. Data Science Skills
Deploy and maintain knowledge ingestion pipelines and integration into API-based services.
Strong knowledge of data cleansing, NLP, parsing tools, regex, and optimization strategies for RAG.
Experience fine-tuning and deploying LLMs.
Stay current on the latest GenAI trends, frameworks, and coding practices.
Software Development Skills
Solve complex problems by writing and testing application code, developing and validating data pipelines, and automating tests and deployment.
Proficiency in designing and building in cloud environments such as Azure, GCP, or AWS.
Uphold quality through DevOps pipeline, unit-, integration-, and end-to-end testing.
Required Qualifications:
5+ years of experience programming with Python.
3+ years of experience in Git and version control.
3+ years of experience with a public cloud (
4+ years using Scikit-learn
2+ years of Lang chain experience.
2+ years of LLM experience building RAG systems
1+ year experience with vector databases such as MongoDB Atlas or Pinecone
Portfolio of LLM applications and sample projects
5+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful soup
2+ years of LLM experience building RAG systems at scale (10,000+ documents).
5+ years' experience in DevOps with Github Actions or similar CI/CD tools.
5+ years of writing and deploying microservices
3+ years of Kubernetes experience
Strong code refactoring skills
Strong debugging skills.
Familiarity with concepts such as Agents, adding memory to LLMs, routing, moderating content, parsing output
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.
Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ********************
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.