Deepgram Api Key Jobs in Usa

• 6+ years of demonstrable experience in full stack programming building scalable applications

• 6+ years’ experience with Java Spring based frameworks and libraries preferably Spring boot

• 6+ years hands experience in cloud-based technologies, Microsoft Azure (Optional)

• 6+ years hands on experience working with messaging technologies

• 6+ years’ experience building and consuming REST API based integration and microservices architecture

• 6+ years’ experience and understanding of core Java, SOAP Web Service, SAML, REST APIs, Spring, Spring MVC and Spring Boot ,Spring modules including IOC, MVC (REST)

• 6+ years’ experience and understanding of REST concepts and REST APIs using Spring boot with TomCAT and Docker

• Good relational DB knowledge involving SQL and PLSQL

• Understanding and experience working with CI/CD processes and tools such as Jenkins

• Experience with application testing frameworks like Junit

• Strong analytical, technical, and problem-solving skills to understand complex customer needs and transactions

Required Skills/Knowledge

• Java 1.8/J2EE

• Azure/Cloud

• SOAP / REST Web Services (API)

• Sprint Boot, Hibernate

• • SQL, PL/SQL

Head of Business Operations

Brief Summary

The Head of Business Operations owns the configuration, integrity, and scalability of the company's business operations systems, serving as the bridge between business strategy and technical execution reporting directly to the CEO/Co-Founder. This role is responsible for translating institutional knowledge into scalable business processes,

ensuring data integrity, and enabling the transition from ad-hoc decision making to data-driven workflows. This is a senior management role with individual-contributor responsibilities, broad cross-functional authority, and high executive visibility.

The Head of Business Operations will take a lead role in defining the data architecture, implementing process guardrails, and analyzing operational data to drive strategy. This person acts as the cross-functional orchestrator of the business operations system, collaborating with Sales, Production, and Leadership to extract & refine business logic and codify it into streamlined processes. Success in this role requires a strong backbone to enforce higher standards, and an analytical and systems-thinking mindset to visualize downstream effects.

What Success Looks Like

● All core workflows are analyzable, have entrance/exit criteria, and are governed by continuously improving SOPs

● Leadership can answer key operational questions without ad-hoc data pulls

● Administrative overhead for sales and production staff is measurably reduced through intuitive, user-centric workflow design and automation.

● Data integrity is proactively enforced through automated validation gates, ensuring all transactions reaching Production meet technical completeness standards

● Schema changes follow a formal change process without disruptive production breakage

● Cross-team handoffs show measurable reductions in rework or delays

● Operational reporting has shifted from reactive status checks to predictive insights, providing automated triggers for churn risks and production bottlenecks

Duties & Responsibilities

Requirements Engineering (Internal Product Owner)

● Conduct structured interviews with stakeholders (Sales, Production) to extract complex business logic, transforming qualitative requirements into workflow pipelines, binary system gates, and automation triggers.

● Treat internal tools as a "Product" and internal staff as "Users," conducting user research to ensure workflows are intuitive and reduce friction.

● Act as the liaison between business stakeholders and technical teams to ensure alignment.

● Define, mandate, and manage the company's "Data Dictionary" and Standard Operating

Procedures (SOPs), ensuring a unified language and common framework is adopted across all functional teams.

System Ownership & Platform Governance

● Own the configuration and architecture of the company’s operating platform (currently ), defining object relationships and preventing schema drift.

● Translate strategic business objectives into system logic, automation rules, and workflows to create a scalable operating platform that generates measurable, actionable data.

● Define and enforce strict "Entrance and Exit Criteria" for all business process stages to prevent data errors (the enforcement aspect).

● Manage the change control process for system updates to prevent disruption to active workflows.

Business Intelligence

● Responsible for building decision-grade operational reporting and analysis (but not exploratory data science/research or data engineering).

● Query and analyze cross-functional data to drive strategic business decisions, identify performance gaps, and uncover opportunities for revenue optimization and growth (e.g., ROAS, marketing attribution, churn risks, customer LTV).

● Own and facilitate the weekly business review, working with management and leads to refine reporting and insights across the organization.

● Design and maintain management reporting dashboards to track key performance indicators and operational health.

Decision Authority

This role has final decision authority over the following areas:

● Operating system structure and data definitions

● Workflow stage definitions and gating logic

● Approval or rejection of system changes that affect data integrity

Desired Qualifications & Traits

● Systems Thinker: Possesses strong systems thinking capabilities, naturally visualizing the downstream effects of upstream changes (e.g., how a change in the Sales form affects the Production floor). They prioritize long-term scalability over short-term "hacks."

● Pragmatic Architect: Maintains a pragmatic approach to architecture, balancing "perfection with business utility." They know when to implement a rigid constraint and when to allow manual flexibility, always focused on delivering high-utility features.

● Operational Excellence Steward: Demonstrates operational discipline and the ability to define, promote, and enforce process compliance among diverse teams. They value consistency and predictability and are willing to say "No" when requests threaten system integrity and guide the team to the right trade-off.

● Analytical & Problem-Solving Mindset: Possesses an investigative nature, focusing on finding root causes and proactively hunting for "process leaks" and undefined variables. They validate assumptions with data rather than anecdotes.

● Coach & Change Leader: Possesses high emotional intelligence and the teaching ability to re-program legacy habits. They can explain why a new system is better to resistant teams and guide them through the transition with patience and clarity.

● Ambiguity Simplifier: Has the ability to simplify ambiguity, taking chaotic business inputs and structuring the information into linear, standardized processes.

● Translator & Data-Centric Communicator: Has strong communication skills to fluently bridge the gap, explaining technical constraints to non-technical stakeholders in plain English.

● Detail-Oriented: Is highly detail-oriented, obsessed with consistent naming conventions and data definitions. They notice misalignment in data definitions immediately, ensuring organizational clarity and data integrity.

Experience & Educational Requirements & Preferences

Experience & Educational Background

● 7+ years of experience in Business Operations, Systems Administration, or Data Analysis.

● Bachelor’s degree in Business, Information Systems, or related field required, Master's degree preferred.

● People Management and Team Building

Platform Expertise & Architecture

● Low-Code/No-Code Mastery: Advanced proficiency with Low-Code/No-Code platforms ( , Airtable, Salesforce) is required, including the management of complex automation rules, dependencies, and integration webhooks.

● Business Object Modeling / Relational Database Design: Proven experience designing relational database schemas (One-to-Many, Many-to-Many), specifically including the ability to translate flat spreadsheets into relational objects (e.g., separating "Orders" from "Line Items").

● API & Integration Knowledge: Ability to read API documentation to understand system

capabilities/limitations.

● Lightweight Scripting & Automation (Preferred): Proficiency with basic data-related scripting (Python, SQL) or advanced spreadsheet macros (VBA) to independently manipulate datasets or prototype logic is a strong plus.

Process, Intelligence, & Change Management

● Business Process Modeling (BPM): Experience with Business Process Modeling (BPM), including creating detailed swimlane diagrams to visualize hand-offs and defining strict "Entrance and Exit Criteria" for process stages.

● Business Intelligence (BI) & Reporting: Proficiency in designing Business Intelligence (BI) dashboards and reports, with an understanding of how to structure data for customer segmentation and cohort analysis.

● Change Management & Training: Experience managing change, designing rollout plans, and creating training materials and SOPs for users in a fast-paced environment.

Baer is looking for Quality Engineer for a 6+ month project located in Irving, TX

Title: Quality Engineer

Location: Hybrid – Irving, TX (3 days per week onsite)

Duration: 6 months

Rate: All-Inclusive

Alignment: W2 (C2C Not Permitted)

Overview

We are seeking a Quality Engineer to support a large-scale healthcare platform focused on ERP integrations and platform stability. In this role, you will validate complex data flows, APIs, and event-driven systems that support critical business processes. You will work closely with Engineering and Product teams in an Agile environment to ensure reliable, high-quality platform performance.

Description

• Test ERP integrations, APIs, and complex data flows across systems.
• Design and execute test strategies for platforms integrating with SAP, Workday, Oracle, Infor, or similar ERP systems.
• Build and maintain automated tests using Playwright, Postman/Newman, REST Assured, Cypress, or similar tools.
• Perform API, functional, regression, and performance testing.
• Use SQL to validate data transformations and backend pipelines.
• Test event-driven systems such as Azure Event Hub, Service Bus, or Kafka.
• Create and maintain test plans, cases, and defect documentation.
• Collaborate with Engineering and Product teams in Agile ceremonies and quality planning.

Requirements

• Experience testing ERP-integrated and data-intensive systems.
• Hands-on experience with test automation frameworks and API testing tools.
• Strong SQL skills for backend data validation.
• Experience testing distributed or event-driven architectures.
• Solid understanding of Agile/Scrum methodologies.
• Strong analytical, troubleshooting, and communication skills.

Preferred

• Experience in healthcare or regulated industries.
• Experience improving test automation frameworks or strategies.
• Familiarity with AI-assisted testing or workflow automation tools.

Company Overview:

Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.

Baer is an equal opportunity employer including disability/veteran.

ALL OPEN JOBS

Applied AI Engineer

Compensation:

• Up to $150,000 base salary (direct hire w2 only, no c2c, no 1099), (flexibility on base salary for exceptional experience)

Location:

• Hybrid / Onsite - Greater Kansas City Metro Area
• 3 days per week onsite, 2 days remote
• Candidates must currently reside in the KC metro area or be willing to relocate within a reasonable timeframe
• Fully remote candidates cannot be considered

Work Authorization:

• Must be authorized to work in the U.S.
• No current or future visa sponsorship available

Engagement Type:

• Full time, direct hire only
• No third-party agencies, consulting firms, C2C, or 1099 arrangements

About the Opportunity

Vaco Highspring is conducting a confidential search on behalf of a global enterprise organization with a strong technology footprint, including a proprietary SaaS platform and a technology?enabled services business.

The organization is making a focused investment in artificial intelligence to improve internal efficiency, modernize workflows, and embed intelligent capabilities into its software platform. This role offers meaningful ownership and visibility, with a mandate to build and deploy AI systems that have real, production level impact.

The Role

As an Applied AI Engineer, you will play a key role in integrating AI across internal systems and a customer facing SaaS platform. You will work hands on with large language models (LLMs) and modern AI tooling to automate processes, build internal tools, and deliver intelligent product features.

This is a production focused role operating at the intersection of engineering, product, and business operations, with close collaboration across teams in a hybrid/onsite environment. (3-days per week onsite in Greater Kansas City Metro Area, 2-days remote work.)

Key Responsibilities

• Design and build scalable AI powered services and tools to streamline internal workflows across multiple teams (e.g., operations, content, sales, support).
• Develop and deliver intelligent features within a proprietary SaaS platform.
• Integrate, manage, and optimize multiple LLMs and AI APIs (e.g., OpenAI style, Anthropic style, or comparable providers).
• Provide technical leadership and mentorship to other engineers, including guidance on architecture, best practices, and performance.
• Build and maintain backend systems and APIs that support AI functionality across products and services.
• Design infrastructure for model serving, orchestration, monitoring, and lifecycle management.
• Implement fallback strategies, model routing, and cost performance optimization.
• Partner cross functionally with engineering, product, and business stakeholders to identify high impact AI opportunities.
• Apply best practices related to data privacy, security, compliance, and responsible AI use.
• Stay current with advancements in AI, LLMs, and MLOps, introducing new approaches where appropriate.

Qualifications

• 6+ years of engineering experience with multiple years of experience in a production environment deploying AI/ML applications or infrastructure.
• Proven experience applying LLMs or similar AI models to real business or product challenges.
• Strong backend engineering skills (Python and/or TypeScript preferred).
• Experience with AI/ML orchestration and deployment tools (e.g., LangGraph style frameworks, Airflow like systems, Kubeflow, Ray, or workflow automation tools).
• Hands on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Front end development experience in areas like React, Node.js, Web Development, front end web product design
• Solid understanding of MLOps practices, including deployment, monitoring, logging, and evaluation.
• Knowledge of data privacy, security, and ethical AI considerations.
• Experience supporting SaaS platforms or technology driven products is a plus.
• Strong communication skills and the ability to collaborate across technical and non-technical teams.
• Passion for applying AI in practical, high impact ways.

Why This Role

• High visibility and ownership of AI initiatives
• Opportunity to build AI systems that directly impact business outcomes
• Emphasis on production grade systems, not experimentation alone
• Collaborative, hybrid environment with close access to stakeholders

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

**Candidate must be willing to go into office 3 days a week**

Senior Full-Stack AI & Data Engineer – Contract

RBA is an established leader and trusted partner for enterprise and mid-size organizations seeking to transform their business through technology solutions. As a Digital and Technology consultancy, we combine strategic insight with technical expertise to deliver impactful, scalable solutions that align with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging career opportunities with a collaborative, fun work environment.

We are seeking a Senior Full-Stack AI & Data Engineer to join our growing Data & AI practice, supporting a high-impact client. In this role, you will lead the design and development of end-to-end AI-powered applications that drive personalization, predictive analytics, and next-generation digital experiences.

You’ll partner with business stakeholders, product teams, and engineers to build production-grade AI solutions—from data pipelines and model development to APIs and user-facing applications. The ideal candidate brings deep expertise across the full stack, modern data platforms, and generative AI technologies, with a passion for solving complex business challenges through innovative solutions.

Responsibilities

• Design and develop end-to-end AI-powered applications, including backend APIs and user-facing interfaces, to enable scalable and intuitive AI solutions.
• Build and maintain robust APIs using technologies such as Node.js, NestJS, or FastAPI, and develop modern web applications using React or similar frameworks.
• Develop, fine-tune, and deploy machine learning models using frameworks such as PyTorch and Scikit-learn.
• Implement advanced generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines and multi-modal AI applications.
• Design and build agentic AI systems using frameworks such as LangChain, enabling multi-step reasoning, tool use, and automation.
• Architect and optimize end-to-end data pipelines (ETL/ELT) using Python, SQL, and orchestration tools such as Airflow.
• Manage and integrate data workflows within Snowflake, leveraging technologies such as Snowpark or Cortex.
• Implement monitoring and observability for AI systems, including tracking model performance, drift, latency, and reliability.
• Design and deploy cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines across AWS, Azure, or GCP.
• Collaborate with business stakeholders to translate data into actionable insights and intelligent applications.
• Contribute to DevOps best practices, including infrastructure-as-code (Terraform) and automated testing.
• Mentor junior engineers and promote best practices in AI ethics, data governance, and code quality.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience across full-stack development, including backend (Node.js/Python) and frontend frameworks (React or similar).
• Strong experience designing and building data pipelines and modern data platforms, including expertise in SQL and data modeling.
• Proven experience deploying AI/ML solutions in production environments, including MLOps and model lifecycle management.
• Hands-on experience with generative AI technologies, including LLMs, prompt engineering, and RAG architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of DevOps practices, including CI/CD, containerization, and infrastructure-as-code (Terraform).
• Excellent communication skills and ability to work effectively in client-facing environments.

Preferred Qualifications

• Experience with Snowflake, including Snowpark, Cortex, or similar data platform capabilities.
• Experience building agent-based AI systems or working with frameworks such as LangChain.
• Familiarity with vector databases and semantic search architectures.
• Experience developing mobile applications using React Native or Flutter.
• Knowledge of mobile architecture, UI/UX principles, and API integration patterns.
• Experience deploying applications to Apple App Store or Google Play Store.
• Familiarity with security and authentication protocols, including OAuth2, biometric authentication, and secure data handling.
• Cloud or data platform certifications (AWS, Azure, GCP, Snowflake, or similar).

Leadership & Culture

• Demonstrate leadership through mentorship, technical guidance, and promoting engineering best practices.
• Balance innovation with pragmatism—able to work across cutting-edge AI solutions and foundational data engineering tasks.
• Thrive in a collaborative, fast-paced consulting environment with a strong focus on client impact and delivery excellence.

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

The Senior Java Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Responsibilities:

• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 10 -13 years of relevant experience in Apps Development or systems analysis role
• Extensive experience system analysis and in programming of software applications
• Experience in managing and implementing successful projects
• Subject Matter Expert (SME) in at least one area of Applications Development
• Ability to adjust priorities quickly as circumstances dictate
• Demonstrated leadership and project management skills
• Consistently demonstrates clear and concise written and verbal communication

Backend Development (Required):

• Strong hands-on core Java, functional programming, and Spring Boot microservices development experience.
• Understanding of concurrent and parallel programming, including threads, processes, synchronization, and handling race conditions.
• Knowledge of reactive programming for building asynchronous, event/message-driven systems in microservices based applications that are highly concurrent.
• Proficient in containerizing applications, continuous integration, and continuous delivery in Java ecosystem.
• Knowledge of distributed tracing and API Gateway integration for microservices architecture.
• Proficient in functional programming concepts with Streams API, Lambda Expressions and Optional.
• Understanding of secure coding practices, SSL/TLS, OAuth, and JWT token handling in Java-based applications.
• Expertise in integrating Java with NoSQL databases such as MongoDB for scalable, high availability applications.
• Strong experience in data modeling and experience with relational and no-SQL database, Oracle and MongoDB.
• Understanding of integrating APIs with third party libraries/vendors and handle the security around it.
• Understanding of the principles of distributed systems, including data partitioning, replication, and consistency models.
• Strong grasp of data structures and algorithms, especially those relevant to distributed systems like distributed hash tables and load balancing techniques.
• Understanding of microservices architecture, including service discovery, API gateways, and inter-service communication.

Other areas (Required):

• Exceptional Problem-Solving and Analytical Skills to diagnose and resolve issues in distributed environments.
• Above average skills in monitoring, logging, and debugging distributed systems to ensure reliability and performance.
• Expertise in fundamental concepts such as consistency, availability, partition tolerance, fault tolerance, and scalability.
• Familiarity with container orchestration (e.g., Kubernetes), and distributed messaging systems (e.g., Kafka).
• Experience using Git/BitBucket.
• Good communication skills, both written and verbal.

Other areas (Good to have):

• Unix shell scripting.
• Knowledge of ElasticSearch, and GraphQL.
• Experience with building apps which are highly performant and scalable will be great.
• Knowledge of Generating Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs).

Education:

• Bachelor's degree/University degree or equivalent experience
• Master's degree preferred

Duration: Full Time Opportunity

Job Description:

• We are seeking a CMS Consultant specializing in Headless CMS and Digital Experience Platforms (DXP) to design, implement, and optimize modern digital platforms that enable seamless and personalized customer experiences.
• The ideal candidate will have strong experience with headless CMS platforms, content migration, API integrations, and information architecture, while also advising stakeholders on SEO strategy, content analytics, and digital experience optimization.
• This role works closely with business, product, marketing, and engineering teams to ensure digital platforms align with business goals and deliver scalable, high-performance content solutions.

Responsibilities:

• Design and implement Digital Experience Platforms (DXP) that deliver personalized and scalable digital customer experiences.
• Work with stakeholders to analyze business requirements and translate them into CMS and content architecture solutions.
• Lead CMS implementation, configuration, and optimization initiatives.
• Define content models, taxonomies, and governance structures.
• Execute content migration strategies during platform modernization initiatives.
• Build and support API integrations between CMS platforms and enterprise services.
• Provide guidance on SEO strategy, content optimization, and performance analytics.
• Collaborate with marketing, product, engineering, and UX teams to ensure seamless content delivery across digital channels.
• Support sales initiatives (proactive and reactive) by contributing to solution design and technical discussions.
• Deliver value-based conversations with clients to expand engagement opportunities and grow accounts.

Experience:

• Hands-on experience with Headless CMS platforms such as Optimizely, Contentful, Contentstack, Strapi, or similar solutions.
• Strong understanding of content modeling, workflows, content governance, and Information Architecture (sitemaps, taxonomy, content hierarchy).
• Experience with content migration, CMS upgrades, and re-platforming from legacy CMS to modern headless platforms.
• Experience integrating CMS with enterprise systems using REST APIs, GraphQL, and ETL processes.
• Familiarity with SPA (Single Page Applications), PWA (Progressive Web Applications), and API management platforms such as MuleSoft, Dell Boomi, or Apigee.
• Understanding of SEO best practices and web/content analytics tools such as Google Analytics, Adobe Analytics, or DOMO to optimize content performance.

Skills:

• Headless CMS
• CMS Integration

Education:

• Bachelor's degree or equivalent experience.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Recruiter Details:

Name: Deepak

Email:

Internal Id: 26-05821

Position Summary:

The Director of Quality is responsible for leading and overseeing all quality assurance, quality control, and compliance activities across Petrosmith’s manufacturing and service operations. This role ensures that all products and processes meet or exceed customer expectations, regulatory requirements, and applicable industry standards including ASME, API, and customer specifications. The Director of Quality provides strategic direction while remaining actively engaged in day‑to‑day quality execution, fostering a culture of accountability, continuous improvement, and operational excellence throughout the organization.

Essential Job Functions:

• Provides accurate cost estimating services for incoming quotes regarding tanks, pressure vessels, piping, skids, controls, instrumentations and other custom-engineered equipment.

Quality Leadership & Strategy

• Develop, implement, and maintain Petrosmith’s Quality Management System (QMS) across all facilities and product lines
• Establish quality objectives aligned with company goals, customer requirements, and regulatory standards
• Serve as the senior quality authority and advisor to executive leadership

Manufacturing & Process Quality

• Oversee quality activities for fabrication, welding, coating, assembly, and final inspection operations
• Ensure compliance with ASME Code, API Monogram requirements, customer specifications, and internal procedures
• Partner with Operations, Engineering, and Production teams to prevent defects and drive first‑time quality

Compliance, Audits & Certifications

• Act as primary contact for external audits, inspections, and certifications (ASME, API, customer audits)
• Lead internal audits and management reviews to ensure ongoing compliance and readiness
• Maintain documentation, procedures, and records required for regulatory and customer compliance

Nonconformance & Continuous Improvement

• Lead root cause analysis, corrective and preventive action (CAPA) initiatives, and systemic quality improvements
• Track and analyze quality metrics, nonconformances, and customer feedback
• Drive continuous improvement initiatives using data‑driven decision‑making

Supplier & Vendor Quality

• Establish and oversee supplier quality requirements and evaluation processes
• Address supplier nonconformances and collaborate on corrective actions as needed

Team Leadership & Development

• Lead and develop the Quality team, including QC Compliance and inspection personnel
• Provide coaching, training, and performance management to build a strong quality culture
• Promote cross‑functional quality awareness and accountability at all levels of the organisation

Qualifications:

• Bachelor’s degree in Engineering, Manufacturing, Quality, or a related technical field (or equivalent experience)
• 8–10+ years of progressive experience in quality leadership within manufacturing or fabrication environments
• Strong working knowledge of ASME, API, welding, fabrication, and coating processes
• Proven experience leading audits, managing QMS systems, and implementing corrective actions

Preferred

• Quality certifications such as ASQ (CQA, CQE), Six Sigma, or ISO Lead Auditor
• Experience in oilfield equipment, pressure vessels, tanks, or modular systems manufacturing
• Hands‑on manufacturing background (worked up through fabrication or production environments)

Skills & Competencies

• Strong leadership, communication, and cross‑functional collaboration skills
• Ability to balance strategic oversight with hands‑on execution
• Excellent problem‑solving and root cause analysis capabilities
• High attention to detail with a practical, operations‑focused mindset

Work Environment & Physical Demands

Physical demands: While performing the duties of this job, the employee is required to walk;

Sit; use hands to finger, handle objects, tools or controls; reach with hands and arms; balance; stoop; talk or hear. The employee may occasionally lift and/or move up to 50 pounds waist high.

Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to focus.

Work Environment: While performing the duties of this job, the employee is exposed to ambient room temperatures, lighting and traditional office equipment as found in a typical office.The noise level in the work environment will required hearing protection when in the manufacturing shops.Frequently employee may need to engage manufacturing workers in their work environment.