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About Digital Harbor Digital Harbor has been a pioneering innovator of Composite Risk & Compliance solutions for over a decade. Our award-winning platform is trusted by some of the largest U.S. Financial Institutions, Government Intelligence Agencies, and Healthcare organizations. Currently, Digital Harbor is driving the integration of Web 3.0 into enterprise solutions through its Social Enterprise Technology (SET) platform. We are seeking creative and innovative engineers who are passionate about building scalable cloud platforms and enabling modern software development. Location: Hybrid (Remote + In-Office) Office Location: Lehi, UT 84043 Job Description As a DevOps Engineer at Digital Harbor, you will play a critical role in building, automating, and scaling the cloud platform that powers our SaaS products. You will work shoulder-to-shoulder with software engineers to improve developer productivity, automate software delivery, and build reliable, secure infrastructure that enables rapid product innovation. This role is ideal for someone who began their career as a Software Engineer or Software Developer and transitioned into DevOps, Platform Engineering, or Site Reliability Engineering. You understand modern software development because you've built software yourself and now enjoy improving how software is delivered at scale. Your primary objective will be to build world-class cloud infrastructure and developer platforms that empower engineering teams to rapidly deliver secure, scalable enterprise software. Ideal Candidate Background The strongest candidates will typically have career paths similar to: Software Engineer → DevOps Engineer Software Engineer → Platform Engineer Backend Engineer → DevOps Engineer Full Stack Engineer → DevOps Engineer We're seeking someone who understands software development from firsthand experience and enjoys building platforms, automation, and developer tooling that enable engineering teams to move faster. Experience working within a software product company or SaaS organization is strongly preferred. Key Responsibilities Build, automate, and deploy application code through modern CI/CD pipelines. Design, provision, and maintain scalable AWS cloud infrastructure. Build and maintain developer platforms that improve engineering productivity and deployment reliability. Design and optimize Continuous Integration (CI) and Continuous Delivery (CD) environments. Automate cloud infrastructure and operational processes using Infrastructure as Code. Partner daily with Software Engineers, QA Engineers, Product teams, and Architects to improve developer experience and software delivery. Troubleshoot and resolve issues related to application availability, scalability, performance, and reliability. Support modern microservices-based architectures, container orchestration, and cloud-native applications. Contribute to software development initiatives using technologies such as Java/Spring Boot and JavaScript/Node.js. Research emerging technologies, build proof-of-concept solutions, and recommend improvements to engineering platforms. Required Qualifications Experience Professional experience as a Software Engineer, Software Developer, or similar software-focused engineering role before transitioning into DevOps, Platform Engineering, or Site Reliability Engineering strongly preferred. 3+ years of DevOps, Platform Engineering, or SRE experience supporting modern software delivery. Experience working within a software product company or SaaS organization strongly preferred. Experience partnering closely with software engineering teams throughout the software development lifecycle. Demonstrated ownership of engineering platforms, automation, and cloud infrastructure. AWS & Cloud Technologies Strong experience with AWS services including ECS, EC2, S3, CloudFront, IAM, VPC, and related cloud technologies. Experience designing and supporting highly available, multi-tier cloud architectures. Experience automating cloud infrastructure using Infrastructure as Code. Programming & Development Strong software development experience using Java, JavaScript, Python, Go, or similar programming languages. Comfortable reading, debugging, and contributing application code when necessary. Experience using Git-based workflows within CI/CD environments. Strong understanding of REST APIs, distributed systems, and microservices architectures. Experience deploying and operating services on Kubernetes. Infrastructure & Databases Knowledge of Linux system administration. Familiarity with Elasticsearch and Redis. Strong understanding of relational and NoSQL databases. Experience supporting highly available cloud-native infrastructure. Methodologies & Collaboration Experience working within Agile software development environments. Experience collaborating with distributed engineering teams. Familiarity with Jira and modern engineering collaboration tools. Excellent written and verbal communication skills. Comfortable working in a remote-first engineering organization. Engineering Mindset Builder mentality with strong ownership of engineering outcomes. Passion for improving developer productivity through automation. Comfortable contributing code, automation, and infrastructure improvements. Continuously seeks opportunities to simplify engineering workflows. Bias toward automation over manual processes. Leads by example as a highly collaborative individual contributor. Preferred Qualifications Experience with Terraform or other Infrastructure-as-Code (IaC) platforms. Experience with CI/CD technologies such as GitHub Actions, Jenkins, GitLab CI, or equivalent. Experience with Docker and Kubernetes in production environments. Previous experience working for a software product company or SaaS organization. Experience supporting engineering organizations building commercial software products. Experience building developer platforms or internal engineering tooling. Education Bachelor's degree in Computer Science, Software Engineering, Engineering, or a related technical field preferred. Why Join Digital Harbor? At Digital Harbor, DevOps is an engineering discipline, not simply infrastructure management. You'll help shape the platform that enables our engineering teams to deliver secure, scalable SaaS products while working alongside experienced software engineers in a highly collaborative environment. If you enjoy solving engineering problems through automation, cloud technologies, and platform design, you'll have the opportunity to make a significant impact on products used by some of the world's most demanding organizations. Digital Harbor is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state, and local laws that prohibit employment discrimination. Reasonable accommodations are available on request for candidates taking part in all aspects of the selection process.

REQUIRES AN ACTIVE/EXISTING TS/SCI WITH CI POLYGRAPH Location: Charleston, SC (Preferred) or Washington, DC Position Overview DAn Solutions is seeking a Senior DevOps Engineer to design, automate, deploy, and maintain secure cloud infrastructure supporting mission applications and enterprise services. The ideal candidate will have strong hands-on experience with AWS, Kubernetes, Infrastructure as Code, CI/CD automation, and cloud security within government environments. Key Responsibilities Design, build, and maintain AWS cloud infrastructure. Develop Infrastructure as Code and Ansible automation for consistent deployments. Deploy and manage containerized applications using Kubernetes and Red Hat OpenShift. Develop and maintain CI/CD pipelines supporting automated builds, testing, security checks, and deployments. Integrate automated security testing and vulnerability remediation into development workflows. Support AWS GovCloud and DoD Impact Level 5 environments. Implement centralized logging, monitoring, and alerting. Manage platform access controls, secrets management, and certificate handling. Troubleshoot Linux, cloud networking, storage, and container orchestration issues. Automate patching, deployment validation, rollback, and recovery processes. Maintain technical documentation and operational procedures. Required Qualifications Active TS/SCI clearance with CI Polygraph. Bachelor's degree in Computer Science, Engineering, Information Technology, Mathematics, or a related field. Typically 10 years of professional software engineering experience. Previous Intelligence Community experience. Hands-on AWS infrastructure experience, including networking, compute, storage, and IAM. Experience managing Kubernetes environments. Experience with Ansible, Infrastructure as Code, and CI/CD pipelines. Strong Linux administration and troubleshooting skills. Experience scripting with Python, Bash, or similar languages. Experience with Git and version-controlled infrastructure. Experience with Agile, DevOps, or DevSecOps practices. Agile Developer or Certified Scrum Developer certification. Preferred Qualifications Master's degree in a relevant discipline. DoD 8140/8570 IAM Level II or III qualifications. Experience with Red Hat OpenShift. AWS GovCloud and DoD IL5 experience. Terraform, AWS CloudFormation, and reusable Ansible automation. Automated application security testing and container image scanning. Experience supporting stateful services, databases, and recovery procedures. AWS, Kubernetes, Red Hat, or infrastructure automation certifications. Work Location This is a full-time, on-site position at a government facility. Charleston, SC is preferred; highly qualified candidates in the National Capital Region will also be considered. Salary Range Disclaimer: The posted salary range represents the good-faith minimum and maximum compensation DAn Solutions expects to pay for this position. The position may be filled at different Labor Category (LCAT) levels depending on the selected candidate's qualifications and applicable contract requirements. Final compensation within the posted range will be determined based on the applicable LCAT and factors including education, relevant experience, certifications, and other required qualifications

Mission GroqMetal is building the infrastructure platform that turns large-scale physical compute into a reliable, isolated, customer-consumable product. As a Kubernetes Platform Engineer, you will build and operate production software within the GroqMetal platform, helping deliver Kubernetes as a commercial product for customers running large-scale AI training and inference workloads. You will own meaningful platform components, work alongside experienced infrastructure engineers, and develop deep expertise in Kubernetes, distributed systems, and large-scale AI infrastructure. Location: This role will be based in one of our three hiring hubs: the Dallas, San Francisco, or New York City area . The person hired for this role must be based in one of these three areas. You'll have the flexibility to work remotely while we establish our local Groq office, with the expectation that this role will transition to onsite once the office opens. Responsibilities & Opportunities In This Role Build production Kubernetes platform capabilities: Implement APIs, controllers, operators, automation, and platform services that support the GroqMetal product by extending Kubernetes. Own components end to end: Take responsibility for well-defined platform capabilities from design and implementation through testing, deployment, operation, and continuous improvement. Operate what you build: Improve reliability, observability, performance, and operational efficiency, and participate in diagnosing and resolving production issues. Build a Kubernetes platform as a commercial platform: Develop capabilities used by dedicated customers running large-scale AI training and inference workloads. Develop distributed systems expertise: Build software that handles retries, failures, concurrency, reconciliation, and changing infrastructure state correctly. Improve the platform: Identify reliability, scalability, and usability problems and work with the team to deliver durable solutions. Collaboration is a core skill: Work within a team of experts to elevate the collective efforts of our team. Collaborate with engineers across infrastructure, inference, networking, infosec, and related teams to integrate platform capabilities holistically. Grow your technical scope: Contribute to design discussions, engineering practices, and technical decisions while developing toward ownership of increasingly complex platform systems. Ideal Candidates Have/are Software engineers first: Experience designing, implementing, testing, shipping, and maintaining production software. Hands-on Kubernetes experience: Experience building or operating Kubernetes-based systems, including areas such as controllers/operators, CRDs, cluster lifecycle, node management, scheduling, networking, or platform services. Production infrastructure experience: Experience operating software in production and debugging problems across application, Kubernetes, networking, compute, and infrastructure layers. Solid distributed-systems fundamentals: An understanding of failure handling, retries, idempotency, consistency, reconciliation, availability, and recovery, with an interest in developing deeper expertise. Experience with disciplined software development: Comfortable with code review, automated testing, CI/CD, observability, deployment, and production operations. Product-minded infrastructure engineers: Experience building Kubernetes, cloud infrastructure, or platform capabilities consumed by customers is highly valued, but not required. Hands-on experience with modern development tools: Experience using coding agents such as Codex, Claude Code, or similar tools in substantive engineering work is valued. Interested in the AI infrastructure domain: Experience with hyperscalers, neoclouds, GPUs, accelerator infrastructure, or AI workloads is valuable, but candidates with strong platform engineering fundamentals can develop this expertise in the role. Comfortable growing through ambiguity: Able to independently solve well-scoped problems, ask good questions when requirements are unclear, and work with senior engineers on broader architectural decisions. Why Join Us Purposeful Hiring: You're not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build what matters. Builders Wanted: You're not just riding the rocket ship, you're building it. Your work directly shapes the trajectory of our company. Mission-Driven Work: We're here to make a real impact. Our mission fuels everything we do. Tackling Hard Problems: If easy isn't your thing, you're in the right place. We solve some of the most complex and exciting challenges in our space. Excellence Is The Standard: High performance isn't just encouraged, it's the baseline. And it's contagious. If this sounds like you, we'd love to hear from you! Compensation Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay. The total cash salary ranges for this position, which is inclusive of the potential bonus value, is dependent by level: Engineer: $184,800 - $250,000 Sr. Engineer: $223,600 - $302,500 Individual placement within these ranges is determined by your geographic location, experience, skills, and alignment with internal compensation standards. These ranges are specific to candidates located in the United States. Compensation for international candidates will vary based on local market dynamics. Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits.

We are seeking 4 experienced Senior GCP Cloud DevOps Engineers (US) with deep expertise in Google Cloud Platform (GCP), Terraform, Infrastructure as Code (IaC), and DevOps practices. The ideal candidate will be responsible for designing, building, automating, and managing enterprise-scale GCP cloud infrastructure while ensuring security, scalability, reliability, and operational excellence. Responsibilities Design, develop, and maintain reusable Terraform modules for enterprise cloud environments. Implement Infrastructure as Code (IaC) best practices across development, testing, staging, and production environments. Provision and manage GCP infrastructure using Terraform and automation frameworks. Build complete cloud environments from scratch using GCP services and infrastructure automation. Design, deploy, and manage cloud-native solutions leveraging GCP services. Configure and maintain Cloud Run, BigQuery, Cloud Storage, Firestore, IAM, Secret Manager, and Load Balancing services. Develop and maintain CI/CD pipelines for infrastructure and application deployments. Experience in GCP-native data platforms (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer Implement infrastructure versioning, automated code reviews, governance controls, and deployment strategies. Ensure platform reliability, scalability, high availability, and disaster recovery readiness. Configure and manage networking components including VPCs, Subnets, Firewall Rules, Private Connectivity, DNS, and SSL Certificates. Manage Identity and Access Management (IAM), Service Accounts, and security controls. Implement monitoring, alerting, logging, and observability solutions using Cloud Monitoring and related tools. Experience building APIs and data connectors (Python, Cloud Functions, Cloud Run) that serve downstream applications or AI/ML systems Proficiency with IaC (Terraform) and CI/CD (Cloud Build, GitHub Actions, or equivalent) for pipeline deployment Experience with GCP IAM, VPC networking, and container platforms (GKE, Cloud Run) Troubleshoot production issues and execute root cause analysis for critical incidents. Develop operational runbooks, architecture documentation, and support procedures. Collaborate with Data Engineering and AI/ML teams to build secure and scalable data and AI platforms. Support infrastructure required for Vertex AI Agent Engine, Vertex AI Search, Model Armor, and AI-driven workloads. Implement security, compliance, and governance standards across cloud environments.

We are seeking 4 experienced Senior GCP Cloud DevOps Engineers (US) with deep expertise in Google Cloud Platform (GCP), Terraform, Infrastructure as Code (IaC), and DevOps practices. The ideal candidate will be responsible for designing, building, automating, and managing enterprise-scale GCP cloud infrastructure while ensuring security, scalability, reliability, and operational excellence. Responsibilities Design, develop, and maintain reusable Terraform modules for enterprise cloud environments. Implement Infrastructure as Code (IaC) best practices across development, testing, staging, and production environments. Provision and manage GCP infrastructure using Terraform and automation frameworks. Build complete cloud environments from scratch using GCP services and infrastructure automation. Design, deploy, and manage cloud-native solutions leveraging GCP services. Configure and maintain Cloud Run, BigQuery, Cloud Storage, Firestore, IAM, Secret Manager, and Load Balancing services. Develop and maintain CI/CD pipelines for infrastructure and application deployments. Experience in GCP-native data platforms (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer Implement infrastructure versioning, automated code reviews, governance controls, and deployment strategies. Ensure platform reliability, scalability, high availability, and disaster recovery readiness. Configure and manage networking components including VPCs, Subnets, Firewall Rules, Private Connectivity, DNS, and SSL Certificates. Manage Identity and Access Management (IAM), Service Accounts, and security controls. Implement monitoring, alerting, logging, and observability solutions using Cloud Monitoring and related tools. Experience building APIs and data connectors (Python, Cloud Functions, Cloud Run) that serve downstream applications or AI/ML systems Proficiency with IaC (Terraform) and CI/CD (Cloud Build, GitHub Actions, or equivalent) for pipeline deployment Experience with GCP IAM, VPC networking, and container platforms (GKE, Cloud Run) Troubleshoot production issues and execute root cause analysis for critical incidents. Develop operational runbooks, architecture documentation, and support procedures. Collaborate with Data Engineering and AI/ML teams to build secure and scalable data and AI platforms. Support infrastructure required for Vertex AI Agent Engine, Vertex AI Search, Model Armor, and AI-driven workloads. Implement security, compliance, and governance standards across cloud environments.

GCP Infrastructure - Strategic Cloud Engineer or Cloud Consultant Curriculum Strategic Cloud Engineer with over 5 years of experience architecting and deploying scalable, secure infrastructure on Google Cloud Platform . Expert in driving digital transformation for enterprise clients by leveraging Terraform for IaC, for Landing zone, designing and implementing Infrastructure Foundations , orchestrating containerized workloads via GKE , GCE, GCVE, GCS and designing high-availability networking solutions, such as VPC, Cloud Firewall, Cloud Router, Interconnect, VPN, IP Subnets, also IAM, Observability (logging and monitoring), Resource Management, Cost Optimization, FinOps and CI/CD . Experience in large Data Center Exit and Public Cloud migration to GCP. Proven track record in Professional Services and Technical Consulting , excelling at bridging the gap between complex technical requirements and executive business goals. Ability to work in complex environments, great communication, collaboration, negotiation and project management skills. Expertise in AI agents to automate, expedite and de-risk complex infrastructure migrations. Desired Certifications If you are aiming for Google's Professional Services team, having one of these on your profile is Almost a Requirement ❖ Google Professional Cloud Architect ❖ Google Professional Cloud Network Engineer ❖ Google Professional Cloud DevOps Engineer Languages Portuguese or Spanish native Job Post (waiting approval from my lead) Minimum Qualifications Bachelor's degree in Computer Science or equivalent practical experience. 6 years of experience architecting and deploying scalable, secure infrastructure on Google Cloud Platform (GCP) , including expertise with IaC (Infrastructure as Code) , DevOps , and CI/CD processes. Experience designing and implementing cloud enterprise solutions, including a proven track record in Professional Services or Technical Consulting , and demonstrated project management, communication, collaboration, and negotiation skills . Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C, or C++)

Job Title: GCP Vertex Data Engineer Level Required for Primary Skill Advanced (12+ years of US experience) Location: Fort Lauderdale/Irving/NJ/NY(Hybrid) Responsibilities Design, develop, and maintain reusable Terraform modules for enterprise cloud environments. Implement Infrastructure as Code (IaC) best practices across development, testing, staging, and production environments. Provision and manage GCP infrastructure using Terraform and automation frameworks. Build complete cloud environments from scratch using GCP services and infrastructure automation. Design, deploy, and manage cloud-native solutions leveraging GCP services. Configure and maintain Cloud Run, BigQuery, Cloud Storage, Firestore, IAM, Secret Manager, and Load Balancing services. Develop and maintain CI/CD pipelines for infrastructure and application deployments. Experience in GCP-native data platforms (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer Implement infrastructure versioning, automated code reviews, governance controls, and deployment strategies. Ensure platform reliability, scalability, high availability, and disaster recovery readiness. Configure and manage networking components including VPCs, Subnets, Firewall Rules, Private Connectivity, DNS, and SSL Certificates. Manage Identity and Access Management (IAM), Service Accounts, and security controls. Implement monitoring, alerting, logging, and observability solutions using Cloud Monitoring and related tools. Experience building APIs and data connectors (Python, Cloud Functions, Cloud Run) that serve downstream applications or AI/ML systems Proficiency with IaC (Terraform) and CI/CD (Cloud Build, GitHub Actions, or equivalent) for pipeline deployment Experience with GCP IAM, VPC networking, and container platforms (GKE, Cloud Run) Troubleshoot production issues and execute root cause analysis for critical incidents. Develop operational runbooks, architecture documentation, and support procedures. Collaborate with Data Engineering and AI/ML teams to build secure and scalable data and AI platforms. Support infrastructure required for Vertex AI Agent Engine, Vertex AI Search, Model Armor, and AI-driven workloads. Implement security, compliance, and governance standards across cloud environments.

Senior Azure Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Senior Azure Engineer Location: 100% Remote (United States) Position Type: Full-time, Direct W2 Salary Range: $120,000–$170,000 Annually Experience: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking a skilled Azure Cloud Engineer to design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. In this role you will own the end-to-end cloud engineering lifecycle, including architecture, infrastructure-as-code, automation, security hardening, cost optimization, observability, and ongoing operational excellence for production workloads. The ideal candidate will combine deep technical expertise across Azure services with strong DevOps engineering practices, and will partner closely with application development, security, and SRE teams to deliver cloud-native solutions that meet demanding business requirements for scalability, reliability, and compliance. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical discipline Five or more years of cloud engineering experience, with at least three years focused on Microsoft Azure in production environments Strong hands-on experience with Azure core services, including compute, storage, networking, identity, and platform-as-a-service offerings Production-level experience with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates Solid experience designing and operating Azure Kubernetes Service (AKS) clusters at scale Hands-on experience with Azure DevOps or GitHub Actions for CI/CD across infrastructure and applications Strong scripting skills in PowerShell, Bash, and Python, with the ability to write maintainable automation code Deep understanding of cloud security principles, identity management, and compliance frameworks Experience implementing monitoring, alerting, and observability strategies across distributed workloads Strong troubleshooting, communication, and documentation skills Preferred Qualifications Microsoft Certified: Azure Solutions Architect Expert or Azure DevOps Engineer Expert certification Experience operating hybrid cloud or multi-cloud environments spanning Azure and on-premises infrastructure Familiarity with service mesh technologies such as Istio or Linkerd on AKS Exposure to FinOps practices and cloud cost-management tooling Experience with regulated environments such as HIPAA, PCI-DSS, SOC 2, or FedRAMP How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899 . Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR XwYqOILCgs

Job Purpose We are seeking a highly motivated and technically proficient Mid-Level DevOps Engineer with strong expertise in Python, AWS Cloud Infrastructure, and DevOps practices. This role focuses on cloud engineering and infrastructure automation responsibilities. The ideal candidate will have extensive experience designing, deploying, and supporting scalable cloud solutions. The candidate will play a key role in automating infrastructure deployment, managing CI/CD pipelines, optimizing cloud environments, and ensuring the reliability, security, and performance of enterprise applications across multiple environments. The ideal candidate is an experienced self-starter, strong attention to details, with excellent written and verbal skills. Enjoys working in a collaborative, fast-paced, environment and is willing to take on roles outside of comfort zone. Technical aptitude and being well versed in Machine Learning and Data Science tools and processes is a must. The role will work closely with the multiple engineering teams. Req ID 12278BR Work Location Options Alternate Locations: Albertville, AL; La Grange, IL City Fort Worth State: Texas Company Description Progress Rail stands at the intersection of legacy and innovation—driving the future of rail with a pioneering spirit. Since its founding in 1983, the company has grown to become one of the world's largest and most trusted providers of railroad products, services, and technologies. Today, Progress Rail delivers a comprehensive portfolio of cost-effective solutions to railway customers around the globe. From the rails themselves to the EMD® locomotives that ride them, the company's products are in operation across more than 100 countries—powering progress and connecting communities. In 2006, Progress Rail joined Caterpillar Inc., further strengthening its ability to lead the rail industry with cutting-edge technology, unmatched expertise, and a commitment to excellence. At Progress Rail, the team is not just building the future of rail—they are making history every day. Key Job Elements Design, implement, and maintain CI/CD pipelines using industry-standard DevOps tools and best practices. Automate infrastructure provisioning and configuration management using Terraform and Infrastructure as Code (IaC) principles. Manage and support AWS cloud environments, including deployment automation, scalability, and operational excellence. Build, configure, and maintain cloud-native solutions across development, testing, staging, and production environments. Implement deployment strategies to ensure high availability, reliability, and security. Collaborate with development teams to streamline software delivery processes and improve release efficiency. Provision, manage, and optimize AWS services, including but not limited to: EC2,ECS,EKS,Lambda,S3,RDS/Aurora,DynamoDB,CloudFront,Route 53,API Gateway,IAM,CloudWatch,SNS/SQS,EventBridge,VPC, Security Groups, NACLs,AWS Backup and Disaster Recovery solutions. Implement AWS security best practices and cloud governance standards. Design scalable, cost-effective, and highly available cloud architectures. Monitor cloud resource utilization and recommend optimization opportunities. Monitor application and infrastructure health using cloud-native and third-party monitoring tools. Troubleshoot production incidents, application performance issues, deployment failures, and infrastructure-related problems. Conduct root cause analysis and implement permanent corrective actions. Support application deployments and infrastructure changes across multiple environments. Maintain operational documentation, runbooks, and disaster recovery procedures. Participate in on-call support rotations as required. Education / Training Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related technical field. Strong academic foundation in software development, algorithms, data structures, and cloud computing. Qualifications And Experience Required Technical Skills Programming & Automation: Strong proficiency in Python development for automation, scripting, and infrastructure tooling. DevOps & Automation: Strong understanding of DevOps methodologies and Software Development Life Cycle (SDLC). Experience with Git, GitHub/GitLab, Jenkins, AWS CodePipeline, AWS CodeBuild, Docker, Kubernetes, Terraform, Infrastructure as Code (IaC), and CI/CD pipeline automation. Cloud & AWS: Deep knowledge of AWS cloud architecture and services, including the design, deployment, and support of secure, scalable, and highly available cloud-native solutions. Strong expertise in IAM, VPCs, networking, monitoring, logging, security controls, disaster recovery, performance optimization, and cloud cost management. Databases: Experience with PostgreSQL, MySQL, SQL Server, and NoSQL databases. Strong understanding of database design, query optimization, and data integration. Preferred Qualifications AWS Certifications such as: AWS Solutions Architect Associate/Professional AWS DevOps Engineer Professional Knowledge of container orchestration platforms such as Kubernetes (EKS). Experience with enterprise-scale cloud migration and modernization initiatives. Familiarity with security frameworks, compliance requirements, and cloud governance best practices. Soft Skills Strong analytical and problem-solving abilities. Excellent written and verbal communication skills. Ability to work independently and collaboratively within cross-functional teams. Strong organizational and documentation skills. Ability to manage multiple priorities in a fast-paced environment. Experience Requirements 7+ years of experience in AWS Cloud Infrastructure and DevOps Engineering. 3+ years of experience in Python development for automation and tooling. Proven experience supporting enterprise applications and cloud-native platforms in production environments. Essential and Physical Activities Functions: Strength – Position typically involves work in a standard office environment. Occasional standing and walking. Heavy lifting (up to 35 lbs) is rare but may be required; Motion – Position regularly requires standard repetitive motions and hand/eye coordination associated with office communications. May require bending, lifting, standing, climbing, kneeling, crouching, walking, etc.; Vision/Hearing Requirements – Significant verbal communications, including both talking and hearing; Work Environment – Work in temperature-controlled environment; Emotional Demands – Required to liaise with multiple levels within and outside the organization, including senior leaders and managers. Individual must be well-spoken, able to manage multiple priorities and individual requests on a daily basis, with a professional and supportive attitude; Safety – Position required to follow all safety guidelines and requirements. EEO Progress Rail is an Equal Opportunity Employer, including Veterans and Individuals with Disabilities. Job Category Engineering PRS Facility Location Leased Office - Southlake, TX - 477

Hi Position: Cloud Engineer with AWS Terraform Location : Jersey City, NJ Seeking an experienced Cloud Platform Engineer with strong expertise in AWS, Terraform, and Python to design, build, and automate enterprise-scale cloud infrastructure. The ideal candidate will have 5+ years of software engineering experience, technical leadership skills, and deep knowledge of cloud networking, compute, storage, security, and platform automation. Key Responsibilities: Design and deliver scalable AWS platform solutions across networking, EC2, and storage services. Develop and maintain reusable Terraform modules and Infrastructure as Code (IaC) frameworks. Build automation tools and platform services using Python. Implement CI/CD pipelines and promote secure-by-default cloud architecture. Drive operational excellence through automation, resiliency, monitoring, and standardization. Mentor engineers and collaborate with architecture, security, and application teams. Champion Agile practices and modern software development methodologies. Required Skills: AWS (Networking, Compute, Storage) Terraform (Enterprise-scale IaC) Python Automation CI/CD, DevOps, SDLC Cloud Security, IAM, KMS Infrastructure Automation Agile/Scrum Production Support & Operational Stability

Job Description Cloud Engineer I We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States. Join a Company that Empowers you to Build your Future We are seeking a highly skilled and motivated Cloud Engineer to join the Lennar Technology Group (LTG) Cloud Operations team. The Cloud Engineer will be responsible for designing, deploying, and managing our cloud-based systems and applications. This role requires a strong understanding of cloud platforms, infrastructure as code, automation, and security best practices to ensure the reliability, scalability, and cost-effectiveness of our cloud environment. A career with purpose. A career built on making dreams come true. A career built on building zero defect homes, cost management, and adherence to schedules. Your Responsibilities On The Team Cloud Infrastructure Management: Design, implement, and maintain scalable, secure, and resilient cloud infrastructure (e.g., virtual machines, networking, storage, databases) on major cloud platforms, including AWS and Azure. Configure and manage cloud services, including compute, storage, networking, security, and identity and access management. Develop and maintain infrastructure as code using tools like Terraform, CloudFormation, or Azure Resource Manager for automated provisioning and management. Cloud Application and Service Development: Collaborate with development teams to design, deploy, and maintain cloud-native applications, microservices, and serverless functions. Implement and manage CI/CD pipelines for automated software delivery to cloud environments. Integrate cloud solutions with on-premises infrastructure where necessary. Performance Optimization and Cost Management: Monitor cloud resource utilization, performance metrics, and costs. Identify and implement strategies for cost optimization (e.g., right-sizing resources, auto-scaling, reserved instances). Troubleshoot and resolve performance bottlenecks and other cloud-related issues. Security and Compliance: Implement and enforce robust cloud security measures, including network security, access controls, data encryption, and vulnerability management. Ensure compliance with industry regulations and internal security policies. Conduct regular security audits and maintain documentation of security configurations. Automation and Scripting: Automate routine tasks and operational processes using scripting languages such as Python, PowerShell, and Bash. Develop and maintain automation scripts for deployment, monitoring, and alerts. Troubleshooting and Support: Diagnose and resolve complex technical issues related to cloud infrastructure and applications. Provide expert-level support to internal teams and end-users on cloud-related matters. Develop and maintain disaster recovery and backup strategies to ensure business continuity. Collaboration and Documentation: Collaborate effectively with cross-functional teams, including developers, operations, security, and architects. Create and maintain comprehensive documentation for cloud architecture, configurations, and operational procedures. Stay updated on emerging cloud technologies, trends, and best practices. Requirements Education Requirements: College diploma or university degree in the field of computer science or engineering and/or +5 years equivalent work experience. Relevant cloud certifications, such as AWS Certified Solutions Architect and Azure Administrator Associate. Experience Requirements: 3 years of experience in cloud engineering or a related role. Technical Skills: Proficiency with one or more major cloud platforms such as AWS, Azure, etc. Strong understanding of networking concepts (TCP/IP, DNS, VPNs, Load Balancing, VPCs/VNets). Experience with infrastructure as code tools (Terraform, CloudFormation, ARM Templates). Experience with monitoring and logging tools (CloudWatch, Azure Monitor). Proficiency in scripting languages such as Python, PowerShell, and Bash. Familiarity with containerization technologies such as Docker and Kubernetes. Knowledge of DevOps principles and CI/CD pipelines. Understanding of database technologies, including SQL and MySQL. Firm grasp of cloud security principles and best practices. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences. Ability to work independently and collaboratively in a fast-paced environment. Strong attention to detail and organizational skills. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Apply

As a Cloud Engineer , you will support the design, implementation, operation, and continuous improvement of secure AWS cloud environments supporting critical government missions. You will work across cloud infrastructure, automation, security, operations, and architecture to help deliver reliable and scalable cloud services. We know that you can't have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. What you'll do: Design, deploy, configure, operate, and maintain secure AWS cloud infrastructure in classified government environments. Work with AWS services such as EC2, EBS, S3, IAM, VPC, Lambda, CloudFormation, and related cloud technologies. Troubleshoot cloud infrastructure, access, networking, application, and service issues in complex environments. Communicate technical issues, recommendations, and solutions clearly to both technical and non-technical stakeholders. Stay current on AWS services, cloud technologies, security requirements, and emerging engineering practices. Participate in team knowledge sharing and contribute to the continuous improvement of cloud engineering and operational processes. What you'll need to succeed: Active TS/SCI with CI Poly security clearance. Relevant cloud, systems, infrastructure, or engineering experience appropriate to the level for which you are being considered. Hands-on experience designing, building, supporting, or troubleshooting cloud infrastructure. Strong AWS experience, including services such as EC2, EBS, S3, IAM, VPC, Lambda, and CloudFormation. Experience supporting AWS GovCloud, classified AWS environments, or other secure government cloud environments. Experience with infrastructure-as-code tools such as Terraform, CloudFormation, or Ansible. Experience implementing cloud security controls and working within established security and compliance requirements. Experience with IAM, authentication, authorization, SSO, federation, or similar enterprise identity technologies. Experience securing and hardening Linux or Windows cloud systems. Scripting and automation experience using Python, PowerShell, Bash, or a similar language. Understanding of cloud architecture patterns, networking, microservices, serverless computing, and container technologies. Experience with Docker, Kubernetes, EKS, or similar container platforms. Strong troubleshooting, analytical, and problem-solving skills. Ability to work independently as well as collaboratively with technical and cross-functional teams. Strong written and verbal communication skills with the ability to explain technical concepts to technical and non-technical audiences. Leveling and Salary: This position may be filled at the Cloud Engineer I, II, or III level. The level offered will be determined based on the candidate's relevant experience, technical depth, level of independence, architecture experience, and overall qualifications. Cloud Engineer I: 4–7 years of relevant experience | $150,000–$185,000 Cloud Engineer II: 8–9 years of relevant experience | $190,000–$210,000 Cloud Engineer III: 10+ years of relevant experience | $200,000–$235,000 Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration. Additional Compensation : This role may also be eligible for bonuses and/or additional incentives based on individual and company performance. Benefits : All full-time employees are eligible to participate in our benefits programs: Health, dental, and vision insurance 401(k) retirement plan with company match Paid time off (PTO) and holidays Parental Leave and dependent care Flexible work arrangements Professional development opportunities Employee assistance and wellness programs Like we said, we are big fans of our people. That's why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. What we want you to know: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Not ready to apply now? Sign up to join our newsletter here.