Terraform Github Repository Jobs in Usa

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Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

The Product Security group ensures our platforms are secure by design and compliant with the world's most rigorous industry and government standards. As a Staff Product Security Engineer, you will serve as a technical architect of trust and the primary connective tissue between Security, Product, and Engineering teams. You will be responsible for translating complex global security requirements into actionable, automated engineering solutions, acting as the "go-to" expert for the Security Features team.

As a senior technical member of the team, you will exercise significant latitude in defining technical objectives and architectural approaches to complex challenges. Leveraging a deep understanding of distributed systems and cloud-native platforms, you will lead high-impact, security-driven initiatives across the entire Cloudera product suite.

As a Staff Software Engineer, you will:

• Architect and maintain advanced build tooling to automate and accelerate vulnerability remediation across all engineering pillars.

• Lead Proof of Concepts (POCs) and evaluate third-party security tools to enhance our security posture without compromising developer velocity.

• Design and develop core security features, including FIPS compliance, TLS/Encryption, Secrets Rotation, Identity & Access Management (IAM), and Certificate Management.

• Drive root-cause analysis and triage for complex, product-wide stability issues related to security infrastructure.

• Engineer specialized observability tools, such as encryption inventories, to audit and measure security standards during feature delivery.

• Author comprehensive design specifications and test plans for cross-component security features, providing technical clarity in the face of ambiguity.

• Elevate the team's technical bar through high-quality code reviews, documentation standards, and active mentorship of engineering talent.

• Partner across organizational lines, collaborating with internal stakeholders and senior management to resolve customer escalations and align with long-term objectives.

We're excited about you if you have (Required Qualifications):

• Bachelor's degree in Computer Science or a related field (or equivalent experience) with 6+ years of professional software engineering experience.

• Deep technical expertise in containerized environments, specifically Kubernetes (EKS) and Docker.

• Strong command of general-purpose and scripting languages, including Java, Python, Go, and Bash.

• Proven experience with Infrastructure-as-Code (IaC) tools such as Terraform and Helm to automate secure infrastructure rollouts.

• Expert-level experience automating complex CI/CD pipelines using platforms such as GitLab CI/CD, Jenkins, or GitHub Actions.

• Exceptional troubleshooting skills with a track record of identifying root causes for site outages and resolving P1 escalations.

You may also have (Preferred Qualifications):

• Experience with Post-Quantum Cryptography to support upcoming product transitions.

• Practical experience with FIPS 140-3, TLS 1.3, and modern encryption standards.

• Proven ability to automate CVE remediation and integrate SAST/DAST scanning tools-such as Trivy, Aquasec, Tenable, or Fortify-into developer workflows.

• Familiarity with government compliance frameworks and industry standards including FedRAMP, ISO 27001, and SOC 2.

• Deep understanding of secure coding practices and common vulnerabilities as outlined in the OWASP Top 10.

• Experience working with Identity and Access Management (IAM) or Identity Governance platforms.

• Strong management skills with a demonstrated ability to influence cross-functional teams and drive results in a remote environment.

This role is not eligible for immigration sponsorship

What you can expect from us:

• Generous PTO Policy

• Support work life balance with Unplugged Days

• Flexible WFH Policy

• Mental & Physical Wellness programs

• Phone and Internet Reimbursement program

• Access to Continued Career Development

• Comprehensive Benefits and Competitive Packages

• Paid Volunteer Time

• Employee Resource Groups

EEO/VEVRAA

#LI-BV1

#LI-REMOTE

Pyramid Systems is seeking an Cloud Logging Engineer (Splunk & AWS) who is responsible for ensuring the availability, performance, and security.

• Advise on cost efficiency for future usage and cost optimization for current infrastructure.
• Automate the management and enforcement of policies.
• Create and maintain documentation related to architecture and operational processes for CLS (Centralized Logging Solution).
• Develop a set of best practices and architecture patterns.
• Help maintain regulatory compliance of the CLS (Centralized Logging Solution) infrastructure.
• Help monitor and maintain CLS performance, availability, and capacity.
• Help maintain application container images.
• Offer solutions for ingestion of logs to Splunk via cloud native solutions.
• Maintain all infrastructure as code.
• Provide operations monitoring of CLS platform to enable proactive issue identification, response, and resolution.
• Recommend and execute improvements to the existing CLS architecture and design with growth and scalability in mind to optimize performance, stability, reliability, and agility.
• Responsible for reporting on current infrastructure status, and planning for future usage.
• Responsible for Beats agent deployments and container infrastructure analysis, optimization, and capacity planning.
• Maintain CI/CD pipelines for configuration deployments to applications.
• Support large-scale deployments with data feeds from multiple on premise and cloud data centers.
• Upgrade, install, configure monitoring solution for AWS for Windows and Linux servers.
• Utilize automation tool such as Terraform, Ansible, AWS Cloud Formation, Azure Resource Manager, or similar.
• Participate in a rotating on call schedule and weekly off hours maintenance.

• Splunk certification required***
• Candidate background eligibility requirements are United States citizen or be a Permanent Resident and have lived in the United States for at least 3 years, clean criminal background and able to obtain a Public Trust (High-Risk) Position.

• Bachelor's degree in computer science, electronics engineering or other engineering or technical discipline OR AWS/Azure Certification (AWS Professional / Specialty Cert. OR Azure Expert / Advanced Cert.) OR 4 years of relevant experience in one of the VAECOT suite of tools (Science Logic, Dynatrace, Turbot, AppDynamics)

• Minimum of three (3) years of experience in leading technical teams to achieve objectives and outcomes.

• Minimum of six (6) years setting up, configuring, and using AWS cloud operational tools to ensure service level agreements and performance targets are met, and continued compliance with policies, standards and guidelines.

• Minimum of three (3) years specific to monitoring Centralized Logging Solution (CLS)/Splunk

• Subject matter expertise with ALL VAEC Cloud Service Providers which currently includes Microsoft Azure and Amazon Web Services (AWS).

• Experience with programming with Splunk language (SPL) or equivalent (e.g., Python, Powershell, AWS or Azure CLI).

• One or more of these Splunk certifications: Splunk Core Certified Power User, Splunk Core Certified Advanced Power User, Splunk Enterprise Certified Admin, Splunk Enterprise Certified Architect, Splunk Enterprise Security Certified Admin, Splunk IT Service Intelligence Certified Admin.

• Knowledge of enterprise logging, with a focus on security event logging.

• Solid understanding of cloud concepts, either using Azure or AWS semantics.

• Experience in one or more of the VAECOT suite of tools, shown below:

VAEC Operational Tools (VAECOT)

Some experience in one or more of the following tools:

Third party tools

* Application Performance Monitoring: Dynatrace, AppDynamics

* Cloud Security: Nessus, NetSkope, Enterprise Security External Change Council, Identity and Assessment Management, Continuous Monitoring as a Service, McAfee, eMASS, Centrify

* Cloud Governance: Turbot

* DevOps/Configuration Management/Help Desk: Ansible, Service Desk, ScienceLogic, ServiceNow, SPLUNK, Jira ServiceDesk, Cloudockit, GitHub

* Containerization: Red Hat OpenShift

* Migration: CloudKey, Version One

* Reporting: Apptio

Cloud Service Provider (CSP) Operational Tools Tools/Services

* AWS Security: System Manager (Explorer and OpsCenter), CloudWatch, Config, CloudTrail, Elasticsearch (Kinesis DataStreams), GuardDuty, Inspector, Key Management Service (KMS), Security Hub, Directory Service, Identity and Access Management, Resource Access Manager, Cognito, Secrets Manager, Certificate Manager, Artifact

* Aws Monitoring and Logging: QuickSight, Eventbridge (AWS Kinesis DataStreams), Simple Notification Service (SMS), Elasticsearch (AWS Kinesis DataStreams), CloudTrail, CloudWatch

* Aws Networking: Virtual Private Cloud (VPC), Route S3, API Gateway, Direct Connect, AppStream 2.0, Transit Gateway, Elastic Loadbalancer, Firewall Manager, WAF & Shield

* AWS Storage: Cloud Tiering Services to S3 from On-Prem, Simple Storage Services (S3), S3 Glacier, Storage Gateway, Elastic File System (EFS), Backup

* Azure Security: Monitor (Log Analytics and ASC), Event Hubs, Security Center (ASC), Information Protection (AIP) , Key Vault, PowerBI, Network Watcher (Performance Monitor), Monitor (Log Analytics and ASC)

* Azure Monitoring and Logging: Information Protection (AIP), Advance Threat Protection, Security Center (ASC), Information Protection (AIP), Key Vault, Active Directory, Role Based Access Control (RBAC), Resource Manager (ARM), Resource Graph (ARG), Active Directory B2C, Key Vault, App Service, Service Trust Portal

* Azure Networking: Virtual Network, Traffic Manager, DNS, Application Gateway, Express Route, Web Apps, FrontDoor, VPN Gateway, Loadbalancer, Firewall

* Azure Storage: NetApp File Service, Storage (Blobs, Disks, Files, Queues, Tables), Storage Archive Access Tier, StorSimple, Files, Backup

We areseekingan experienced and forward-thinkingSolution Architect - Data Engineeringto lead the design and implementation of scalable, secure, and high-performance data solutions. The ideal candidate will have deep expertise withPython and SQL, experience with data warehouses (Snowflake or something similar), a strong command ofengineering best practices(includinglinters and code formatters, project organization, and managing environments), and practical experience buildingCI/CD pipelinesto ensure robust, automated delivery of data pipelines and services.

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• Architect Scalable Data Solutions
  Design and implement end-to-end data engineering architectures that are scalable, maintainable, and performant across batch and real-time processing systems.
  

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• Engineering Leadership
  Lead by example with high-quality Python code,utilizinglinters (e.g.,pylint,flake8,black) and enforcing code cleanliness, readability, and best practices across teams.
  

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• CI/CD Pipeline Development
  Build, manage, and optimize CI/CD pipelines using tools such asGitHub Actions,GitLab CI,CircleCI, orJenkinsto automate testing, code quality checks, and deployment of data engineering components.
  

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• Data Governance & Quality
  Establish data validation, logging, and monitoring strategies to ensure data integrity and reliability at scale.
  

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• Collaborate Cross-Functionally
  Work closely with data scientists, software engineers, DevOps, and business stakeholders to translate requirements into technical solutions and ensure alignment with overall enterprise architecture.
  

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• Mentorship & Code Reviews
  Provide guidance to junior developers, lead technical reviews, and enforce clean coding standards throughout the data engineering team.
  

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• 7+ years of experience in software or data engineering, with 3+ years in an architectural or technical leadership role.
  

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• Expert-levelproficiencyinPython and SQL, with a deep understanding of best practices, performance tuning, and maintainable code patterns.
  

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• Proven experience withlinters,formatters, and other static analysis tools to ensure code quality and compliance.
  

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• Hands-on experience designing and implementingCI/CD pipelinesfor data pipelines, APIs, and other backend services.
  

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• Solid knowledge of modern data platforms and technologies (e.g., Spark, Airflow,dbt, Kafka, Snowflake,BigQuery, etc.).
  

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• Strong understanding of software engineering practices such as version control, testing, and continuous integration.
  

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• Experience working in cloud environments (AWS, GCP, or Azure).
  
• Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
  
• Understanding of security, compliance, and governance in data pipelines.
  
• Excellent communication and documentation skills.
  
• Strong leadership presence with the ability to mentor and influence teams.
  
• Problem-solver with a focus on delivering value and simplicity through technology.
  

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family.The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .

Job Description:

Principal Azure Engineer, Platform & Delivery:

The Principal Azure Engineer, Platform & Delivery is a senior technical leader responsible for designing, building, and delivering enterprise-scale Microsoft Azure solutions. This role combines deep hands-on Azure engineering expertise with ownership of delivery outcomes, often serving as the technical lead for initiatives without dedicated project management. The ideal candidate can translate complex or ambiguous business needs into secure, scalable Azure solutions and ensure they are executed predictably and effectively.

Required Qualifications:

• Deep technical experience designing and operating high-availability, scalable infrastructure including networking, storage, virtualization, and identity.
• Developing and maintaining automated deployment modules using tools like Terraform or ARM templates.
• Optimizing delivery pipelines (e.g., Azure DevOps, GitHub Actions) to ensure repeatable, secure platform services.
• Proven experience implementing enterprise Azure networking architectures.
• Experience migrating and modernizing workloads from on-premises environments to Azure.
• Implementing governance frameworks, RBAC, and security baselines using Microsoft Defender for Cloud and Azure Policy.
• Demonstrated ability to lead engineers and influence stakeholders without formal authority.
• Experience defining and implementing monitoring and observability solutions.
• Lead end-to-end delivery of multiple concurrent Azure initiatives from intake and design through implementation and operational handoff.
• Act as the technical project lead for Azure initiatives where no formal project manager is assigned.
• Maintain visibility into all in-flight Azure work and provide regular status updates, risk reporting, and summaries.
• Coordinate work across infrastructure, security, networking, application, and vendor teams.
• Proactively identify delivery risks and blockers and drive resolution to keep initiatives moving forward.
• Balance speed, cost, risk, and compliance when making technical and delivery tradeoff decisions.
• Mentor and guide engineers, establishing technical standards, patterns, and best practices.
• Produce high-quality technical documentation, architectural artifacts, and operational runbooks.
• Foster strong partnerships with application teams to enable successful Azure adoption.

Additional Skills and Experience:

• Deep proficiency in Azure compute (VMs, AKS), storage, networking (VNETs, NSGs), and identity (Microsoft Entra ID).
• Experience operating in regulated environments such as healthcare, financial services, or higher education, including frameworks like HIPAA, HITRUST, SOC 2, or GDPR.
• Working knowledge of IT service management concepts.
• Experience with Azure Cost Management and FinOps practices.
• Strong problem investigation, root cause analysis, and decision-making skills.

Education and Experience:

• Bachelor’s degree or equivalent experience.
• Minimum of 10 years of professional IT experience, with at least 5 years in a senior, architect-level, or principal cloud engineering role.
• Demonstrated experience leading enterprise-scale Azure initiatives with multiple parallel workstreams.

• Role: QE Solution Architect
• Skills: GHCP (GitHub Copilot), Azure OpenAI, AI-based test generation
• Experience: 14 + Years.
• Location: Houston TX.

Role Summary

We are seeking an AI-Driven Quality Engineering (QE) Solution Architect to lead the design and rollout of next‑generation, AI-enabled QE solutions powered by platforms such as GitHub Copilot (GHCP), Azure OpenAI, and intelligent automation toolchains. This role will drive RFP/proposal solutioning, lead strategic AI pilots, and deliver tangible quality, velocity, and cost benefits that accelerate client adoption of AI across the account. The architect will work closely with Sales, Delivery, DevOps, and Enterprise Architecture to position differentiated, automation-first QE solutions and enable account mining.

Key Responsibilities:

1. AI-Enabled QE Solutioning (Primary Charter)

• Architect AI-first QE solutions leveraging GHCP, Generative AI, ML-based defect prediction, autonomous test generation, and intelligent test data creation.
• Define AI use cases across the entire QE lifecycle—test design automation, risk-based optimization, impact analytics, and continuous validation.
• Build reusable AI accelerators, prompts, copilots, templates, and solution kits to differentiate QE offerings.
• Evaluate and recommend best-fit AI/QE platforms for client ecosystems including GHCP, Azure OpenAI, Selenium, Playwright, Tricentis, Katalon, and cloud-native DevOps stacks.
• Establish governance for responsible AI usage in QE.

2. Strategic Projects, Pilots & Account Mining

• Lead AI pilots and proof-of-value (PoV) initiatives to demonstrate measurable impact—cycle time reduction, automation uplift, defect leakage reduction, and cost efficiency.
• Drive cross-account AI adoption by identifying areas for modernization, automation, and AI-led productivity improvements.
• Shape new opportunities within accounts through strategic programs, capability showcases, and client workshops.
• Develop account-specific AI roadmaps, maturity models, and transformation charters.

3. Solutioning & Pre-Sales Leadership

• Own QE solutioning for RFPs, RFIs, and proposals, including estimation, delivery models, staffing, and differentiators.
• Create compelling value narratives highlighting AI-enabled acceleration, automation efficiency, and quality cost reduction.
• Represent QE in orals, client demos, and AI capability walk-throughs.
• Build scalable solution blueprints that integrate functional, automation, performance, security, data, and AI-driven validation.

4. Quality Engineering Leadership

• Provide architectural direction across Functional QA, UI/API automation, Performance, Security, and AI-led QE.
• Recommend enterprise-grade QE toolchains optimized for ERP, CRM, API-led, and cloud-native digital ecosystems.
• Drive QE modernization by introducing self-healing automation, autonomous test generation, shift-left testing, and DevOps‑integrated quality gates.

5. Collaboration, Governance & Delivery Alignment

• Work with Delivery, DevOps, Engineering, and Enterprise Architecture to ensure solution feasibility and adoption.
• Ensure seamless transition from solution to delivery including guardrails, scope clarity, and quality governance.
• Align solutions with organizational cost models, margin expectations, and client value realization frameworks.

Required Skills & Experience

• 12–15 years in QE; 3+ years in QE Architecture, AI-led QE, Solutioning, or Pre-Sales.
• Strong expertise with GHCP (GitHub Copilot), Azure OpenAI, AI-based test generation, and enterprise automation frameworks.
• Demonstrated experience leading client-facing AI pilots/PoVs.
• Ability to create high-quality proposal content—estimates, assumptions, solution writeups, value metrics.
• Excellent communication, storytelling, and stakeholder influence skills.
• Experience working with bid teams and large transformation programs.

Preferred Skills / Certifications

• Experience with AI/QE in ERP (SAP/Oracle/NetSuite), CRM, MuleSoft/API-led integrations, and cloud modernization programs.
• exposure to performance engineering, application security, and DevOps pipelines.
• Certifications: ISTQB, Agile, AWS/Azure, DevOps, GitHub, or AI certifications.

We are seeking a talented Software Engineer 3 (Power BI Developer) to join a leading global financial institution on a long-term contract in Wilmington, DE. This role is ideal for someone with advanced Power BI skills, including DAX, Power Query/M, and complex data modeling, who has experience building executive dashboards and turning complex data into actionable insights. The position involves designing enterprise-level BI solutions, integrating data from multiple sources, and delivering analytics on toolchain adoption, productivity, and business impact. Candidates should have experience with platforms such as Jira, GitHub, Azure DevOps, and CI/CD tools, and be comfortable mentoring junior team members and collaborating with cross-functional teams. This is an exciting opportunity to influence decision-making and contribute to strategic initiatives at a senior level.

Job Title: Software Engineer 3 (Power BI Developer)

Job Location: Wilmington, Delaware 19803

Job Duration: 12 months (with possible extension)

Only W2 Candidates

Join a leading global financial institution and work with some of the brightest minds in the industry. This long-term contract opportunity offers a competitive benefits package and a chance to contribute to innovative solutions in the financial services space. If you’re passionate about leveraging data to drive business impact and enjoy creating insights that influence key decisions, this role is for you.

Required Skills & Experience

• 4+ years of software engineering experience, or equivalent through consulting, training, military service, or education.
• 6+ years of Power BI experience, with at least 3 years focused on advanced development in enterprise environments.
• Proven expertise in designing BI solutions for enterprise software development ecosystems, toolchain adoption, and DevOps maturity.
• Experience connecting Power BI to various toolchain platforms (e.g., Jira, GitHub, Azure DevOps, CI/CD tools) and designing KPIs for adoption, onboarding, and usage.
• Advanced proficiency in DAX, Power Query/M, and complex data modeling for management-level reporting.
• Experience building executive dashboards covering adoption, risk, compliance, automation, productivity, and cost savings.
• Strong data integration skills, including ETL, API extraction, direct query, and on-prem/cloud data source integration.
• Deep understanding of enterprise data governance, security, access controls, and reporting best practices.
• Excellent communication skills with experience collaborating with both technical and business stakeholders.
• Demonstrated leadership in project delivery, solution architecture, and mentoring junior team members.

Desired Skills & Experience

• Expertise in enterprise DevOps, SDLC/ALM toolchains, engineering productivity tooling, or related reporting domains.
• Experience supporting executive or board-level reporting initiatives.
• Microsoft Power BI and/or Power Platform certification.
• Experience in highly regulated or financial services environments.

Key Responsibilities

• Participate in moderately complex software engineering initiatives and contribute to planning and delivery of enterprise solutions.
• Review, analyze, and resolve complex software engineering and BI challenges.
• Collaborate with engineering, operations, and transformation teams to gather requirements, define key metrics, and ensure data accuracy for management reporting.
• Architect, develop, and maintain advanced Power BI dashboards and reports focused on toolchain adoption, process maturity, and business impact.
• Serve as the enterprise subject matter expert in toolchain reporting, with knowledge of common platforms such as Jira, GitHub, Azure DevOps, and CI/CD tools.
• Develop frameworks, data models, and methodologies to assess adoption and maturity metrics (e.g., tool usage, process adherence, automation coverage, delivery impact).
• Integrate data from multiple sources—including APIs, data lakes, internal databases, and vendor platforms—into Power BI using advanced transformations and DAX.
• Deliver meaningful executive and operational insights with robust drill-down capabilities for decision-making.
• Partner with business and IT leadership to present findings, recommend actions, and evolve analytics in alignment with strategic objectives.
• Define, document, and enforce best practices for management reporting, including data governance, security, and lifecycle management.
• Mentor and coach junior engineers and analysts on Power BI and toolchain reporting best practices.
• Maintain, monitor, and continuously enhance reporting solutions as enterprise needs evolve.
• Provide occasional after-hours support for critical reporting or deployment issues.

Project description

The customer is looking for a JavaFS / Spring / C# / CSS

Responsibilities

Collaborates with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements

Maintains and enhances existing enterprise services, applications, and platforms using domain driven design and test-driven development

Troubleshoots and debugs complex issues; identifies and implements solutions

Creates detailed project specifications, requirements, and estimates

Researches and implements new technologies to enhance current processes, security, and performance

Supports the development of coding standards and adheres to best practices and security guidelines

Works closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs"

Skills

Must have

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 TOP Skills Required: Java FullStack / focus on Front End

REACT .NET/C# SQL DataFactory UI Skills, Licenses & Certifications

Proficiency in Full Stack Development

Proficiency with the following technologies:

Programming Languages: C# required, PySpark and Python is a plus.

Frameworks: Spring/SpringBoot, FastAPI, .Net Core, .Net Framework

Front End Technologies: CSS, jQuery, AJAX, Hands on experience in Single Page Architectures such as React is required

Source Control: GitHub, Azure DevOps

CICD: GitHub Actions, Azure DevOps

Data management: PostgreSQL, MS SQL

Integration/APIs Technologies: Kafka, REST, GraphQL

Cloud Providers such as Azure

Other Dev Ops Toolchain: Selenium, SonarQube, GitHub, Kibana, New Relic 10. Proficiency in Networking and security concepts: OAuth, VNet Injection, VNet Integration, Private Endpoints, Azure Firewall 1

Proficiency in object-oriented design techniques and principles 1

Proficiency in Development Tools: Visual Studio, Visual Studio Code, SQL Server Management Studio, Azure Data Studio

Ability to concisely convey ideas verbally, in writing, in code, and in diagrams

Ability to work through others by cooperatively sharing responsibilities

Proficiency in Agile methodologies, such as SCRUM

Role:

Join project teams across the U.S. as the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.

Location: New Haven, Connecticut

Responsibilities:

• Opportunity hunting and workflow redesign – Lead Lean/Six Sigma discovery workshops; map value streams, assess process and data maturity, and log low-effort/high-impact AI use cases.
• Process and data maturity assessment – Evaluate each jobsite’s current workflows and underlying data; surface gaps that block AI adoption and develop phased improvement plans with Operations Excellence to establish the right process baseline before deploying agents.
• Assess the market solutions – Evaluate off-the-shelf and platform tools; launch pilots, measure impact, and scale wins.
• Rapid AI-agent builds – Convert user stories into production-ready agents in Copilot Studio / Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks within days; wire them to Teams/SharePoint on the front end and Databricks Lakehouse or other sources on the back end.
• Enterprise-grade engineering & LLMOps – Build RAG pipelines backed by Delta tables, Unity Catalog, and Databricks Vector Search; automate infra with GitHub Actions / Posit; monitor latency, cost, adoption, and drift.
• Data integrations – Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents.
• Cross-cloud orchestration – Blend OpenAI, Azure OpenAI, and AWS Bedrock behind secure custom connectors; package agents for seamless rollout.
• Change enablement – Train crews, gather feedback, iterate, and track adoption and ROI metrics; apply influence model principles to embed agents into daily routines and SOPs, and track behavior change KPIs.
• Stakeholder communication – Brief project leadership and clients on agent impact in clear business terms; contribute use cases and playbooks for “Construction Site of the Future.”
• Escalation & hand-off – Draft clear user stories, data specs, and acceptance criteria for any complex solution that requires the central AI Solution Engineers or Data Engineering / Data Science team to lean in.

Qualifications:

• 3+ years in AI engineering / full-stack data applications or data science, including 2+ years building production LLM/RAG solutions.
• Bachelor’s in CS, Engineering, Physics, or a related field; Master’s preferred.
• Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus.
• Demonstrated process excellence background (Lean/Six Sigma Green Belt or equivalent) with experience diagnosing process and data gaps and supporting change management plans with Operations Excellence.
• Strong facilitation and communication skills.
• Hands-on expertise with Copilot Studio, Power Apps/Automate, custom connectors, and CoE Toolkit governance.
• Programming & data stack: Python, SQL, Databricks Lakehouse, vector stores.
• DevOps & IaC: GitHub Actions (or Azure DevOps) and Posit Workbench/Connect automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
• Integration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.
• Willing and able to travel and work on active jobsites.