Platform Engineer Remote Jobs in New Jersey (US)
This page tracks remote platform engineer openings that are location-eligible for New Jersey.
This page tracks remote platform engineer openings that are location-eligible for New Jersey.
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747 Jobs
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• Collaborate with data platform architects to design and specify platform tooling, services, and integrations • Build data lake and lake house architectures • Build streaming data architectures to support data platform tooling and services • Collaborate with software teams to integrate streaming and batch architectures with software products • Collaborate with data scientists, analysts, and business stakeholders to MVP optimal solutions • Collaborate with data governance teams and data platform architects to build governance into technical solutions • Maintain systems and services that provide transparency and observability into our critical systems • Implement and promote engineering and architectural patterns, perform code reviews, and collaborate in architectural reviews • Collaborate with product team data engineers and architects to MVP data products, maintain data models, and promote data modeling best practice • Provide technical leadership and mentorship to product and data engineers, guiding their growth and professional development and enabling their ability to use platform tooling and services • Lead by example through hands-on contributions to designing, coding, and troubleshooting complex data systems • Identify and address performance bottlenecks and optimization opportunities within data pipelines, databases, and processing frameworks • Optimize data processing workflows to improve efficiency and reduce latency • Lead efforts to diagnose and resolve data-related incidents in a timely manner • Will participate in the grooming of stories • Will be responsible for their own tasking towards the completion of stories • Will mentor junior members of the team and guide junior members on best practice • Will participate in design • Will be responsible for the quality of their own code and will participate in code review of others product • Will be responsible for integrating their own code with the team's DevOps plan and implementation
Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world. The estimated base salary range for this role to be performed in the US, regardless of the state, is $198,000.00 - $286,000.00 USD. The estimated base salary range for this role to be performed in Canada, regardless of the province, is $194,000.00 - $280,000.00 CAD. The salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of your total compensation. For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have openings that are lower/higher level than the ones advertised.
Role Description Within the Modular Platform Engineering group, we seek to understand and apply the capabilities that drive software delivery performance at Modular. We are heavily data driven and make use of the dora metrics to track progress as we run experiments to determine the impact of our team’s initiatives and investments. We are looking for candidates based on both their breadth and depth of experience from any number of specialties such as: - Software engineering - IAAS and PAAS - Test, build, compiler, kernel - Hardware - Machine learning We focus on compounding improvements of customer value delivery and exponential gains in velocity and quality. The goal is to bring together diverse, collaborative teams for intensive project work. We are a growing team who collaborate across disciplines on a day to day basis. A strong cross-collaborator is a must. Come and be part of our team and architect our software development life cycle at Modular. Join our world-leading AI infrastructure team and help drive our AI infrastructure stack forward. LOCATION: Candidates based in the US or Canada are welcome to apply. You can work out of one of our offices in Los Altos, CA, or remotely from home. What you will do: - Build monitoring, alerting and observability for Modular Software Development Life Cycle services. - Support internal engineers to help facilitate the future of ML software stacks. - Develop highly reliable and scalable services for developing, testing, and benchmarking across diverse OS and hardware targets. Qualifications - 4+ years of systems design experience such as distributed systems, high-performance concurrency, etc. - Experience building, deploying, and supporting cloud services (bonus points for multi-cloud). - Ability to create durable, reusable software frameworks that are leveraged across teams and functions. - Develops secure and high-quality production code, and reviews and debugs code written by others. - Experience with one or more cloud application programming languages (C, C++, Java, C#, Go etc.) and modern scripting languages (Bash, Python, etc). - Strong collaboration skills, ability to share information with internal and external engineering and product teams. - Experience, or deep interest, in machine learning technologies and use cases. - Creativity and curiosity for solving complex problems, a team-oriented attitude that enables you to work well with others, and alignment with our culture. - Experience using open source software components in production. - Devotion to quality and engineering excellence. - Strong written and verbal communication skills. - Strongly identifies with our core company cultural values. Requirements - Helpful but not required: LLVM, MLIR, or Python experience is a bonus. Benefits - Amazing Team: We are a progressive and agile team with some of the industry’s best engineering and product leaders. - Flexible Location: We want you to work where you are most productive and we are a remote-first company. We have offices in Palo Alto, CA and Seattle, WA for collaboration, and will open more next year. - World-class Benefits: In order to attract the best, we need to offer the best. Premier insurance plans, up to 5% 401k matching, very generous WFH setup stipends, flexible paid time off, and more are available to you! - Competitive Compensation: We offer very strong compensation packages, including stock options. We want people to be focused on their best work and believe in tailoring compensation plans to meet the needs of our workforce. - Team Building Events: We organize regular team onsites and local meetups in different cities. Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world.
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• Build Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, setup platform for transitioning experimental Data Science models into robust, high-availability production services. • Real-Time Inference at Scale: Build automation for deploying low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults. • Feature Engineering & Data Strategy: You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains. • End-to-End MLOps: You will work with the Infrastructure team to build and operate core ML platform components for training and experimentation enablement considering developer experience. You will champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability for ML systems to ensure data drift and model degradation are caught and addressed instantly.
• Own the technical architecture of the data platform end-to-end: ingestion, storage, transformation, orchestration, serving, and observability layers. • Author and maintain the platform architectural vision document; lead quarterly architecture reviews to assess alignment with organizational goals and technology trends. • Define and evolve the target-state architecture for the platform, establishing a multi-year technology roadmap in partnership with engineering leadership. • Evaluate emerging technologies, frameworks, and make evidence-based adoption recommendations. • Serve as the final technical escalation point for complex design questions, cross-team conflicts, and build-vs-buy decisions affecting the platform. • Lead the planning, execution, and delivery of multi-quarter platform initiatives involving multiple engineers, cross-functional dependencies, and significant organizational impact. • Break down large, ambiguous programs into scoped workstreams; assign technical leads per workstream, define milestones, and manage cross-team dependencies and risk. • Drive initiative kick-offs with clear problem framing, success criteria, architectural constraints, and delivery phasing — from 0-to-1 exploration through production hardening. • Maintain stakeholder alignment throughout delivery: proactively communicate status, surface trade-offs, and escalate blockers to leadership before they become risks. • Lead post-mortems and retrospectives for large initiatives; document and socialize lessons learned to raise the organizational bar on delivery excellence. • Exercise functional oversight across the EDAP team: review technical designs, set quality gates, approve architectural decisions, and ensure consistency of implementation patterns. • Define, document, and socialize platform engineering standards including coding conventions, testing requirements, CI/CD practices, schema design guidelines, and SLA frameworks. • Establish and own the platform's technical review process (design review): triage incoming projects, chair review sessions, and ensure decisions are documented and traceable. • Identify and drive resolution of technical debt, redundancy, and architectural drift that impede platform reliability, developer productivity, or scalability. • Partner with security, compliance, and infrastructure teams to ensure platform systems meet governance, data privacy, and regulatory requirements by design. • Serve as a primary technical mentor for junior and senior data platform engineers across the platform; provide structured coaching on system design, technical communication, and engineering judgment. • Conduct and lead design reviews, architecture critiques, and technical deep-dives that strengthen the overall capability of the engineering team. • Define what technical excellence looks like at each level of engineers and participate in calibration discussions. • Represent the data platform in engineering-wide forums, all-hands, and external venues (conferences, open-source communities, recruiting events). • Build a culture of documentation, reliability, and platform-as-a-product thinking across all data platform engineering functions. • Participate in goal planning cycles as a technical voice; define engineering-led goals that improve platform reliability, developer experience, and data quality.
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• Iteratively design and develop scalable, resilient, and efficient platform solutions using cloud services and modern software design frameworks. • Create modular, reusable infrastructure using Terraform and related tools. • Partner interdepartmentally and cross-functionally to strengthen DevOps practices through automation. • Architect, develop, and maintain CI/CD pipelines for platform functions and customer needs at scale. • Deliver solutions based on event-driven, object-oriented, and functional design patterns. • Own the design and implementation of monitoring and logging solutions to ensure reliability and performance. • Support the definition and maintenance of a lifecycle process for platform systems to ensure updates, patches, and security compliance. • Apply deep expertise in platform engineering while leveraging cross-disciplinary knowledge to drive effective collaboration across development, operations, and security teams. • Resolve cloud infrastructure issues quickly, analyze performance, and implement improvements. • Analyze system performance and implement optimizations to improve speed, efficiency, and resource utilization. • Anticipate and plan infrastructure scaling to meet the growing needs of the business. • Apply a security-first approach, ensuring SOC, SOC2, HIPAA, NIST, and regulatory requirements are met. • Implement and manage IAM, firewalls, and SIEM solutions. • Integrate diverse and non-traditional systems to deliver practical, forward-thinking outcomes. • Navigate challenges creatively and find effective solutions when conventional approaches fall short. • Lead assigned projects, driving cross-team collaboration, execution delivery, and accountability. • Write clean, efficient, and well-documented code while following best practices and established development standards. • Take part in the on-call rotation to ensure the reliability and availability of platform services. • Use generative AI tools such as Claude, Copilot, or ChatGPT to improve productivity and deliver high-quality outcomes.
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• Design and enforce RBAC/ABAC policies, SCIM provisioning, and SSO/MFA for Databricks workspaces. • Manage identity lifecycle, including onboarding/offboarding and periodic access reviews. • Integrate Databricks and AWS services with enterprise IAM solutions (e.g., Azure AD, Okta). • Implement AWS IAM roles, policies, and permission boundaries for secure data access. • Ensure secure integration between AWS, Databricks, and Microsoft Power BI for reporting. • Develop and maintain security architecture for AWS and Databricks environments supporting Power BI analytics. • Design secure data pipelines and enforce encryption in transit and at rest across AWS S3, Databricks, and Power BI. • Implement network security controls (VPC, security groups, private endpoints) for AWS and Databricks connectivity. • Lead requirements gathering sessions with stakeholders to define security needs for AWS, Databricks, and Power BI integrations. • Document security requirements, architecture diagrams, and implementation plans. • Maintain detailed security design documentation and update as environments evolve. • Investigate and respond to IAM-related and platform security incidents and defects. • Ensure adherence to SOC 2, HIPAA, GDPR, and internal security standards across AWS and Databricks. • Implement data governance policies for sensitive data used in Power BI reporting. • Apply Databricks Security Profile features (CIS-hardened images, FIPS 140 encryption, TLS 1.2+). • Validate secure cluster configurations and enforce encryption policies in Databricks and AWS. • Harden AWS services (EC2, S3, IAM) following CIS benchmarks and best practices. • Partner with data engineering, BI, and cloud teams to implement security best practices. • Provide security posture reports and IAM metrics to leadership. • Support secure integration of Power BI with AWS and Databricks for enterprise reporting.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
Role Description We are looking for a Senior Platform Engineer to provide hands-on engineering support for an internal audit and code-modification platform built on GitLab CI/CD pipelines and LLM-powered agentic workflows. This is a three-month project engagement. - Provide hands-on engineering support for an internal audit and code-modification platform; - Execute against an existing backlog and deliver tactical platform improvements; - Improve system reliability, observability, and operational visibility; - Support telemetry, logging, debugging, and run management processes; - Enhance the developer experience for reviewing AI-generated merge requests using Python; - Support system maintenance, operational improvements, and GitLab CI/CD pipeline execution; - Work with LLM-powered and agentic workflows, ensuring reliability and usability; - Support internal engineering teams and platform users; - Improve the reliability, visibility, and usability of the current platform; - Contribute to code review workflows, automated remediation processes, and platform enhancements. Qualifications - 5+ years of experience with GitLab CI/CD pipelines, merge request workflows, and pipeline debugging; - Senior-level backend or platform engineering experience, ideally with Python; - Experience working with LLM, prompt-driven, or agentic workflows, including input/output validation and deterministic execution patterns; - Strong understanding of observability, including logging, telemetry, debugging, run tracking, and operational visibility; - Experience supporting internal developer tools or platforms used by multiple engineering teams; - Ability to execute tactical improvements independently without requiring extensive direction or re-architecture; - Comfortable reviewing and improving generated code changes, codemods, and automated merge requests; - Strong communication skills for supporting internal engineering customers and translating use cases into implementation work; - Upper-intermediate English level. Requirements - Experience building or maintaining developer experience tooling for code review, audits, or automated remediation; - Familiarity with GitHub or GitLab extensions, repository audits, or large-scale source-code analysis; - Experience with codemod frameworks or automated code transformation across large codebases; - Experience optimizing LLM token usage, cost tracking, and per-job reporting; - Knowledge of MCP, internal orchestration systems, or agent gateway patterns; - Prior experience supporting centralized engineering platforms used across multiple product teams. Benefits - Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive compensation. - Exciting projects: Join projects with modern solutions development and top-tier clients, including Fortune 500 enterprises and leading product brands. - Flextime: Tailor your schedule for an optimal work-life balance, with options for remote work and flexible hours.
• Architect and implement scalable, secure, and cloud-native solutions on Azure • Lead design and development of CI/CD pipelines using Terraform • Partner with Digital Technology Platform Engineer for Azure landing zone definition • Support workload consolidation onto Azure and observability stack build-out • Build and operate Azure platform for integration-heavy workloads • Support reconciliation and financial close workloads • Collaborate with integration developers to deliver production-ready services • Establish and operate Azure observability stack • Build FinOps foundations on Azure • Conduct architecture and code reviews
Title: Azure Cloud Engineer Location: Continental United States Job Description: Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled Azure Cloud Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Azure Cloud Engineer Job Title: Azure Cloud Engineer Salary Range: 100k$/Annum-150k$/Annum Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 5+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits. Employment Terms & Visa Policy This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. 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. Key Responsibilities - Design and implement enterprise-grade Azure cloud architectures spanning compute, networking, storage, identity, and data services, with explicit attention to scalability, security, and total cost of ownership. - Develop, maintain, and continuously improve infrastructure-as-code using Terraform, Bicep, or ARM templates, treating infrastructure changes with the same rigor as application code through version control and peer review. - Configure and manage Azure landing zones, virtual networks, subnets, route tables, and network security groups to enforce strong segmentation and least-privilege connectivity between workloads. - Implement secure identity, access management, and governance controls using Azure Active Directory, conditional access, role-based access control, and Azure Policy to ensure compliance with internal and regulatory standards. - Architect and operate Azure Kubernetes Service (AKS) clusters, including node pool design, auto-scaling, network policy, and integration with container registries and service meshes. - Deploy, scale, and tune Azure data and analytics platforms such as Azure SQL, Cosmos DB, Synapse Analytics, Data Factory, and Event Hubs to meet specific workload patterns and SLAs. - Build and operate comprehensive CI/CD pipelines using Azure DevOps or GitHub Actions, enabling fast, automated, and auditable releases of both infrastructure and application code. - Design and implement robust observability practices using Azure Monitor, Log Analytics, Application Insights, and third-party tooling, with thoughtful dashboards, alerting, and SLO tracking. - Drive Azure cost optimization initiatives, including right-sizing, reserved-instance planning, lifecycle policies, and architectural changes that meaningfully reduce monthly cloud spend. - Implement disaster-recovery and business-continuity strategies, including backup, geo-replication, failover testing, and documented runbooks that have been validated through regular drills. - Strengthen security posture by integrating Microsoft Defender for Cloud, Sentinel, key vault, and managed identities, and by routinely remediating findings from compliance scans. - Collaborate closely with application teams to architect cloud-native solutions, advising on patterns, anti-patterns, and Azure-native services that best fit each problem domain. - Develop automation scripts and tooling in PowerShell, Bash, and Python to streamline repetitive operational work and reduce time-to-resolution for common incidents. - Mentor junior engineers, lead architecture reviews, and contribute actively to internal communities of practice around Azure and DevOps. 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.
Title: PLM Platform Engineer (Windchill / Teamcenter) Location: Remote Job Description: Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled PLM Platform Engineer (Windchill / Teamcenter) to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. PLM Platform Engineer (Windchill / Teamcenter) Job Title: PLM Platform Engineer (Windchill / Teamcenter) Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 5+ years Salary: 100K to 150K Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits. Employment Terms & Visa Policy This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. Job Summary We are seeking a PLM Platform Engineer with deep experience operating either PTC Windchill or Siemens Teamcenter (preferably both) in large enterprise environments. In this role you will own the technical operation of the PLM platform — installation, configuration, performance tuning, upgrades, integrations, and high availability — and partner with functional, engineering, and manufacturing teams to deliver a reliable, performant, and secure PLM ecosystem. The ideal candidate will bring strong PLM administration fundamentals, hands-on experience with PLM upgrades and migrations, and a measurement-driven approach to platform reliability. Key Responsibilities - Install, configure, and operate Windchill or Teamcenter environments across development, test, and production. - Lead PLM upgrades, patches, and platform migrations with minimal disruption. - Manage PLM application servers, web servers, database connectivity, and method servers. - Operate file vaults, replication services, and CAD data management subsystems. - Implement and tune HA/DR strategies for PLM environments, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards. - Optimize PLM performance through query tuning, caching, indexing, and JVM tuning. - Manage user provisioning, security configurations, and audit support, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards. - Operate PLM integration brokers and middleware connectors, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards. - Develop automation scripts using shell, Python, or Ansible to reduce operational toil. - Monitor PLM health using native tooling and integrated observability platforms. - Provide hands-on post-go-live and hypercare support, working closely with operations teams to triage incidents quickly, identify root causes, and drive durable fixes that improve long-term system stability. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. - Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time. - Drive continuous improvement of the PLM platform, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards. Required Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of PLM platform administration experience. - Hands-on experience with either PTC Windchill or Siemens Teamcenter in production. - Strong experience with PLM upgrades and migrations. - Working knowledge of Oracle and SQL Server database administration. - Strong Linux/Unix administration skills. - Experience operating HA/DR for PLM environments. - Familiarity with PLM integration brokers and middleware. - Scripting skills in shell, Python, or Ansible. - Excellent troubleshooting and documentation skills. Preferred Qualifications - Experience operating PLM on cloud platforms (AWS, Azure, OCI). - Exposure to infrastructure-as-code for PLM environments. - Familiarity with CI/CD patterns for PLM change management. - PTC or Siemens PLM certifications. - Experience with CAD integration patterns at scale. 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.
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Python, Azure, Observability/Monitoring, Cloud, AWS, Terraform