Engineering Structures Jobs in Irvine California Remote

Data Analyst 1 (Logistics Risk Analyst)

Santa Ana, CA(Fully onsite)

12 months

**Bilingual Korean not required but strongly preferred

Role Summary

• Logistics Risk Analyst focuses on data-driven identification, analysis, and monitoring of logistics risks. This role serves as the analytical engine of the logistics risk management function, transforming operational data into actionable insights.

Key Responsibilities

• Analyze logistics data from TMS, WMS, ERP, and claims systems to identify risk patterns and anomalies.
• Develop and maintain logistics risk dashboards, KPIs, and early-warning indicators.
• Track trends in loss, damage, delay, and service failures.
• Support root cause analysis with quantitative evidence and data modeling.
• Prepare regular risk reports and ad-hoc analyses for management review.
• Partner with IT and operations teams to improve data quality and system integration.
• Support audits, compliance reviews, and risk assessments with data analysis.
• Recommend process improvements based on data findings.

Qualifications:

• Bachelor's degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.
• 2 years of experience in logistics analytics, operations analytics, or supply chain data analysis.
• Hands-on experience with Excel, SQL, and BI tools (Power BI, Tableau, etc.).
• Familiarity with TMS/WMS and logistics performance metrics.
• Experience handling large datasets and building dashboards.

Core Competencies

• Strong analytical and quantitative skills
• High attention to detail and data accuracy
• Ability to translate data into business insights
• Structured analysis.

Education and Years of Experience:

• Bachelor's degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.
• 2 years of experience in logistics analytics, operations analytics, or supply chain data analysis.

Top Skills:

• Excel(Pivot, Lookup, data matching & compare),
• Communication
• Analysis

Position Title: Applied AI Systems Engineer

Location: Orange County, California (Hybrid)

Reports To: Head of Operations

Position Summary

This role is responsible for architecting, building, and deploying a production-grade AI operating system that automates core workflows across leasing, property management, accounting, construction coordination, and asset management.

The engineer will design and implement AI agents, document intelligence systems, and workflow automation pipelines that reduce manual processing, improve accuracy, and increase operational scalability across a commercial real estate portfolio.

This position requires strong systems thinking, rigorous technical execution, and the ability to translate complex operational processes into reliable automation.

Core Objectives

• Build an internal AI platform that automates high-volume operational workflows
• Reduce manual processing time and administrative overhead
• Improve accuracy, speed, and decision visibility across departments
• Establish scalable systems that support portfolio growth without proportional staffing increases

Primary Responsibilities

• AI Platform Architecture & Development
• Design and deploy AI agents to automate operational and administrative workflows
• Build LLM-powered systems for document review, data extraction, and decision support
• Develop retrieval-based systems leveraging leases, financial data, contracts, and SOPs
• Implement evaluation, monitoring, and continuous improvement frameworks

Lease & Document Intelligence Automation

• Build tools to extract key lease terms, obligations, and risk clauses
• Automates lease abstraction and document comparison workflows
• Develop compliance and deadline tracking systems
• Enable searchable knowledge retrieval across lease and legal documents

Leasing & Asset Management Automation

• Automate LOI comparison and deal workflow summaries
• Build dashboards summarizing tenant performance, lease milestones, and risk exposure
• Support market intelligence and tenant prospecting research
• Develop underwriting support and reporting tools

Property Management & Financial Workflow Automation

• Automate CAM reconciliation data processing and variance detection
• Streamline tenant reporting and communication workflows
• Track vendor contracts, compliance deadlines, and service obligations
• Extract and structure financial data from operational documents

Data Infrastructure & Knowledge Systems

• Structure internal documents and data for AI retrieval and automation
• Build document ingestion, indexing, and retrieval pipelines
• Implement vector search and knowledge retrieval systems
• Maintain data integrity, access control, and auditability

Systems Integration & Deployment

• Integrate AI tools with property management, accounting, CRM, and document platforms
• Deploy systems within secure cloud environments
• Implement logging, monitoring, performance, and cost controls
• Ensure reliability and scalability of deployed systems

Collaboration & Implementation

• Translate operational workflows into technical automation solutions
• Work directly with leadership to prioritize automation opportunities
• Train teams and implement adoption workflows
• Establish standards for responsible and secure AI usage

Required Qualifications

• Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
• Demonstrated success in a rigorous academic or research environment
• 3–7+ years building production software, automation systems, or applied AI solutions
• Strong Python development and API integration experience
• Experience working with structured and unstructured data
• Experience deploying systems in cloud environments
• Strong understanding of system architecture and data pipelines
• Exceptional analytical and problem-solving ability

Preferred Qualifications

• Experience building document intelligence or contract analysis systems
• Experience with retrieval systems and vector databases
• Experience automating financial or operational workflows
• Experience integrating AI into business operations environments
• Experience in real estate, finance, logistics, or operations-heavy industries
• Evidence of research, technical publications, competitive programming, or open-source contributions

Technical Environment (Representative)

• Python and API-based architectures
• LLM platforms and agent orchestration frameworks
• Cloud infrastructure (AWS, Azure, or GCP)
• SQL and vector databases
• Workflow orchestration and automation tools
• Version control, logging, and monitoring systems

Success Metrics

• Performance in this role will be evaluated by:
• Reduction in manual administrative workload
• Automation coverage across operational workflows
• Accuracy and reliability of AI-driven outputs
• Adoption and usage across departments
• Operational efficiency gains and cost reductions

Work Environment

• Hybrid work model with in-person collaboration in Orange County
• Direct collaboration with executive leadership and operational teams
• High autonomy in system architecture and implementation decisions

Sales / Bidding Estimator – Position Summary:

The Sales / Bidding Estimator is responsible for preparing accurate and competitive bids for construction projects while also serving as a client-facing representative of the company. This hybrid role combines technical estimating skills with strong sales abilities to ensure both profitable project acquisition and positive client engagement. The ideal candidate thrives in a dynamic environment, communicates effectively with clients and internal teams, and has deep knowledge of construction methods, materials, and costs.

Key Responsibilities:

• Business Development & Client Acquisition: Proactively identify and pursue new project opportunities in industrial markets such as manufacturing, food & beverage, chemical, and utilities. Networking with decision-makers, attend industry events, and maintain a pipeline of qualified leads to support company growth.

• Client Relationship Management: Build, maintain, and strengthen long-term relationships with existing and prospective clients. Act as the primary point of contact during the preconstruction phase, responding quickly to client inquiries, clarifying scope, and providing professional guidance to establish trust and credibility.

• Estimating & Takeoffs: Review and analyze drawings, specifications, and bid documents to identify project scope and requirements. Perform accurate quantity takeoffs for labor, materials, and equipment, ensuring estimates are complete and aligned with project objectives.

• Subcontractor & Vendor Coordination: Solicit and evaluate pricing from subcontractors and vendors, ensuring competitive coverage and compliance with project requirements. Develop and maintain a reliable network of trade partners to support accurate, timely bids.

• Bid & Proposal Development: Prepare detailed cost estimates, budgets, and proposals that clearly define scope, inclusions, exclusions, and assumptions. Present proposals to clients in a professional and compelling manner, highlighting value-engineering options when appropriate.

• Market & Cost Intelligence: Monitor construction cost trends, commodity pricing, and competitor activity to refine estimating strategies and maintain competitive positioning in the marketplace.

• Collaboration & Handoff: Work closely with project managers, engineers, and operations staff to ensure awarded projects transition smoothly from estimating to execution. Provide detailed handoff documents, clarifications, and support to ensure project success.

• Documentation & Reporting: Maintain organized estimate files, bid logs, client communications, and historical cost databases. Track bid outcomes, hit rates, and margin performance to support continuous improvement.

• Risk Management: Identify potential project risks and develop mitigation strategies to minimize impact.

• Alignment with Mission, Vision, and Core Values: Understand and support the company's mission. Contribute to achieving the company's vision. Uphold and promote the company's core values.

Qualifications:

• Minimum of 3–5 years of experience in sales, estimating, or project management within the industrial construction sector (structural steel, process piping, equipment installation, millwright). Experience with design-build or EPC environments is a plus.

• Strong ability to read and interpret blueprints, specifications, P&IDs (Piping & Instrumentation Diagrams), and bid documents. Familiarity with industry codes and standards.

• Proficiency with estimating software (e.g., Bluebeam, Sage Estimating, Trimble, or similar), takeoff programs, and Microsoft Excel. Ability to build and manage detailed cost models.

• Proven ability to build and maintain client relationships, develop proposals, and present to decision-makers. Strong negotiation and persuasion skills.

• Ability to analyze cost data, subcontractor quotes, and historical performance metrics to prepare accurate and competitive bids.

• Excellent verbal, written, and presentation skills to clearly convey information to clients, subcontractors, and internal stakeholders.

• Strong multitasking ability to manage multiple bids and deadlines simultaneously, while maintaining high accuracy and attention to detail.

• Understanding of profit margins, risk management, and market conditions that affect pricing and competitiveness.

• Flexibility to adjust to changing bid requirements, client needs, and market conditions.

• Professionalism & Integrity: High ethical standards, commitment to client satisfaction, and alignment with company mission, vision, and core values.

• Training or certification in estimating, project management, or business development (e.g., ASPE, CMAA, or similar) is desirable.

Physical Responsibilities:

• The role requires visiting construction sites, which may involve exposure to various weather conditions, noise, and hazardous materials.

• The position involves physical activities such as walking, standing, and occasionally lifting and carrying materials or equipment.

Reporting Structure:

• Reports to: Executive team, Operations Manager

• Collaborates with: Executive team, Customers, Project Teams including subcontractors and internal staff.

$95,000.00 - $115,000.00 annually

*In addition to the base wage, this role will include a commission structure based on performance and results.

Benefits:

• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Referral program
• Vision insurance

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience applying NLP techniques to unstructured text
• Hands-on experience working with LLMs, including:
• Prompt design and iteration
• Using pre-trained models for classification or extraction tasks
• Foundational understanding of model fine-tuning, such as:
• Fine-tuning transformer models or LLMs for classification or information extraction
• Adapting existing training scripts or examples to new datasets
• Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
• Experience working with labeled datasets and annotation outputs, including reviewing label quality
• Understanding of common ML problem types, including binary and multi-label classification
• Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
• Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)

OTHER SKILLS and ABILITIES:

• Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
• Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
• Familiarity with RAG architectures and retrieval-based grounding
• Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Introductory experience with weak supervision or noisy-label learning
• Interest in healthcare or biomedical NLP
• Curiosity about knowledge graphs, ontologies, or structured prediction
• Familiarity with secure data handling practices
• Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

EXPERIENCE:

• Bachelor’s Degree in related field
• 1–2 years of experience in machine learning, applied NLP, or software engineering
• Demonstrated some experience training or fine-tuning ML models, not just using APIs
• Ability to collaborate with senior engineers and domain experts and incorporate feedback

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

Senior Product Designer – Softgoods (Golf Bags & Luggage)

Ghost Golf | Irvine, California | Full-Time | On-Site

Ghost Golf is one of the fastest-growing premium brands in golf. We design high-performance golf bags, accessories, and apparel for golfers who demand exceptional quality, thoughtful functionality, and modern design.

As our brand continues to grow, we are making a significant investment in expanding our golf bag and travel product categories, including the development of a complete luggage ecosystem designed specifically for the modern golf traveler.

We are seeking an experienced Senior Product Designer – Softgoods to help lead the design and development of these products. This role will focus heavily on golf bags, travel bags, and luggage, and requires deep experience in softgoods design, materials, construction, and factory development.

The ideal candidate has experience designing and bringing complex bag products to market and understands the entire process from concept to manufacturing.

This position is based in Irvine, California and requires full-time, in-office work. Remote or hybrid arrangements are not available.

Role Overview

The Senior Product Designer will play a critical role in shaping the future of Ghost Golf’s golf bag and travel product lines.

This role involves improving existing products while designing entirely new categories of bags and travel gear. The position requires a strong balance of creative design, technical product development, and factory collaboration.

You will work closely with internal teams and manufacturing partners to ensure products are designed, developed, and produced at the highest level of quality and performance.

Essential Job Duties and Responsibilities

Design and develop premium golf bags, travel bags, and luggage systems that align with the Ghost Golf brand and product standards.

Responsibilities include:

• Designing new golf bags and improving existing bag products
• Leading the design and development of a complete luggage system for golf travel, including carry-on luggage, check-in luggage, duffels, backpacks, garment bags, and travel accessories
• Translating product concepts into technical drawings and production-ready tech packs
• Selecting and sourcing materials including fabrics, trims, hardware, zippers, and structural components
• Working directly with factories to review samples, refine construction methods, and solve development challenges
• Managing the sampling and prototype process through development and pre-production
• Ensuring designs meet requirements for functionality, durability, quality, and manufacturability
• Collaborating with product, sourcing, and leadership teams throughout the development process
• Researching new materials, technologies, and manufacturing techniques relevant to softgoods design
• Managing multiple product developments while maintaining development timelines

Minimum Requirements and Qualifications

A suitable background would include the following experience and qualifications:

• Minimum 7+ years of experience designing softgoods products
• Experience designing golf bags, travel bags, luggage, or similar technical bag products
• Degree from a recognized design school (Industrial Design, Product Design, Fashion Design, or related field)
• Proven ability to create detailed tech packs for manufacturing
• Strong understanding of softgoods construction, materials, and bag engineering
• Experience working directly with overseas factories and manufacturing partners
• Strong knowledge of fabrics, trims, hardware, and bag construction techniques
• Proficiency in Adobe Illustrator and standard product development tools
• Ability to manage multiple product developments simultaneously
• Strong communication and collaboration skills

Preferred Experience

• Direct experience designing golf bags
• Experience developing luggage systems or travel collections
• Experience working with premium materials and high-end products
• Experience working with Asian manufacturing partners

Candidates without golf industry experience may still be considered if they bring exceptional experience designing luggage or technical softgoods products.

To Be Successful in This Role

The ideal candidate demonstrates:

• Deep understanding of bag design and softgoods construction
• Strong attention to detail and product execution
• Ability to balance design vision, functionality, and manufacturability
• Comfort working directly with factories to refine designs
• Passion for building exceptional products and pushing design forward

Location

This role is based in Irvine, California.

This is a full-time, in-office position.

Remote or hybrid work arrangements are not available.

How to Apply

To be considered for this role, candidates must email their application materials directly.

Please send the following to:

Include:

• Resume

• Portfolio link or PDF showcasing softgoods design work

• Examples of bags, luggage, travel gear, or similar products you have designed

Email Subject Line: Senior Softgoods Designer Application – [Your Name]

Applications submitted through LinkedIn or other job platforms without emailing the required materials will not be reviewed.

Title: Lead Software Engineer - AI Application Platform

Mode of interview 1 round in person

Location: Must be in Charlotte, NC to work Hybrid Model

Main Skill set: Python, AI and Angular

Description:

Lead Software Engineer - AI Application Platform

The Opportunity

We are seeking a Lead Software Engineer to guide the architectural development and execution of the client, a sophisticated AI-powered application generation platform. This role suits a proven technical leader with deep, hands-on expertise across the full software stack who finds enabling a team to build better software deeply satisfying.

You will shape critical systems, mentor senior and junior developers through complex technical decisions, conduct rigorous code reviews across multiple technology domains, and directly influence the platform's trajectory through strategic engineering leadership.

This is for someone who:

• Engages thoughtfully when a junior developer asks targeted architectural questions—because you see an opportunity to shape how someone thinks about systems
• Takes time to explain subtle type-safety issues in code review, understanding that feedback is a teaching moment
• Can present architecture clearly to executives and confidently explain both what we're building and why it matters
• Finds more energy in the code your team ships than in the code you write individually
• Has proven depth across the full stack and a track record of developing engineers into stronger contributors

This is not a single-language codebase. The role requires the ability to make informed decisions on TypeScript design patterns, Python FastAPI architecture, AWS security posture, and Terraform state management in context with one another.

The Platform Challenge

The client is fundamentally a Platform-as-a-Service (PaaS) for dynamic application generation. This differs from building a traditional SaaS product. Rather than building one application, you're building infrastructure that enables users to build their own applications.

What this means architecturally:

• Dynamic Content Generation at Scale: Unlike traditional development where code is fixed, AppGen generates JSON form schemas, validation rules, and UI layouts on demand. The FormBuilder component doesn't know what fields will exist until runtime. The layout engine renders user-designed screens from configuration, not hardcoded templates.
• Multi-Tenant Isolation & Data Segregation: Each user gets their own generated app, potentially deployed to their own AWS environment. The architecture must account for data isolation, namespace management, and cross-tenant security considerations.
• User-Defined Data Structures: Traditional applications are built with predetermined database schemas. AppGen works differently—form structures, field types, and validation rules emerge from user conversations with Claude. This brings engineering challenges: How do you safely execute validation logic that users define? When users modify existing forms that have thousands of submissions, how do you maintain backward compatibility? How do you version schemas?
• Content Rendering, Not Code Generation: Unlike traditional no-code platforms where users drag-and-drop to build, AppGen uses AI instead. Users chat with Claude, Claude generates a form schema, and your platform renders that schema reliably across diverse field types, validation patterns, and workflows. The system renders configurations for immediate use, rather than generating code for later deployment.

Experience that directly transfers:

• You've contributed to or led development of low-code/no-code platforms (visual builders, workflow engines, configuration-driven systems)
• You've worked on SaaS platforms with multi-tenant architecture and understand isolation strategies, rate limiting, and per-customer customization
• You've built dynamic rendering systems that handle unknown/arbitrary schemas at runtime
• You've addressed the unique challenges of treating data configurations as user-created content (form builders, report designers, automation workflows)
• You understand the difference between platform infrastructure and applications built on that infrastructure—and the architectural implications of each

Core Responsibilities

1. Technical Architecture & Systems Thinking (40%)

• Shape architectural decisions across the full stack: How should the component layer handle dynamically generated forms? What's the right approach to validate complex cross-field dependencies in the FormBuilder? What separation of concerns makes sense between the Generator Lambda and the Parent Backend?
• Guide architecture discussions: Help senior developers think through design trade-offs. Should we use NgRx or Angular signals for this feature? When does a new Lambda function become worthwhile given cold-start costs?
• Identify and address system-wide bottlenecks: Work across layers to improve performance. Explore Lambda cold-start optimization, RDS query efficiency, and DynamoDB access patterns.
• Establish patterns and guide consistency: Define coding conventions that work across Python, TypeScript, and Terraform. Help new team members understand the reasoning behind architectural choices.
• What this looks like in practice: You're able to justify architectural decisions with technical reasoning. When someone questions an approach, you can explain the trade-offs you considered. You can write code in multiple languages to validate an approach if needed.

2. Code Review & Technical Guidance (30%)

• Full-stack PR reviews: Review Python FastAPI endpoints and Angular components with equal depth, understanding how they interact.
• Deep technical review: Catch issues thoughtful code review can surface:
• RxJS Observable lifecycle and potential memory patterns in Angular
• Query efficiency and data loading patterns in SQLAlchemy
• Terraform module organization and state management implications
• Type safety and TypeScript coverage gaps
• AWS security and IAM configurations
• Educational feedback: Your code reviews help the team learn. When you identify an issue, reviewees understand not just what changed, but how to think about similar problems in the future.
• Define quality expectations: Work with the team to establish what \"production-ready\" means for this platform and support consistent application of those standards.
• What this requires: Experience reviewing code across teams and multiple languages. You know how to write feedback that resonates—clear, constructive, and focused on helping people improve.

3. Mentorship & Team Development (20%)

• Expand specialist capabilities: Help backend specialists learn to contribute to the forms-engine. Support frontend experts in understanding FastAPI patterns.
• Accelerate junior developers: Pair on complex problems. Explain the reasoning behind patterns like DataState. Connect architectural choices to implementation details and performance implications.
• Identify and address gaps: Recognize when someone is struggling with a technology and provide targeted support—training, pair programming, or guidance through architectural decisions.
• Create growth opportunities: Stretch the team into new areas. A backend engineer working on their first Terraform contribution. A frontend specialist implementing an AWS Lambda authorizer.
• What this requires: Genuine investment in people's growth. You've walked developers through major transitions (generalist to specialist, specialist to full-stack, or into new technology areas). You understand that team strength grows when individuals expand their capabilities.

4. Stakeholder Communication & Technical Leadership (10%)

• Explain to diverse audiences: Translate architectural choices and trade-offs for product managers, executives, and business stakeholders. Connect \"optimizing DynamoDB queries\" to \"improving form submission latency by 30%.\"
• Shape technical direction: Contribute the engineering perspective on feasibility, risk, and what unlocks future capabilities.
• Support release confidence: You understand the code changes, comprehend the risks, and know what to monitor. You can stand behind releases.

Required Qualifications

Technical Skills

Frontend (Production Experience)

• 5+ years of Angular (including handling version migrations, optimizing change detection, and guiding teams through reactive patterns)
• Strong TypeScript skills with generics, discriminated unions, and strict mode
• RxJS depth: You understand hot vs. cold observables, unsubscription patterns, and can identify potential memory issues in reviews
• NgRx state management: You've designed stores at scale, optimized selectors, and evaluated architectural implications
• CSS Grid & Responsive Design: You can assess component hierarchy and layout decisions
• Material Design: You've worked within it and know when and how to extend it

Backend (Production Experience)

• 5+ years of Python (async/await, type hints, data modeling)
• FastAPI production experience: session management, dependency injection, middleware
• SQL and ORMs (SQLAlchemy): You write efficient queries and review them critically
• AWS services: Understanding of Lambda behavior, IAM least-privilege patterns, VPC networking
• REST API design: Versioning, error handling, idempotency
• Testing frameworks: pytest, testing st

*Securian Financial Groups internal position title isInfrastructure Consultant.

Position Summary:

We are looking for an AWS Dev OpsEngineer with hands-on experience in AWS Tools to help build and maintain cloud infrastructure that supports our data and analytics platforms. This role is ideal for someone with a solid foundation in cloud engineering who is ready to take ownership of infrastructure components and collaborate across teams to deliver scalable, secure, and efficient solutions. Executes projects to research, proof of concept, and implement new solutions. Maintains awareness of trends and technologies to meet new and emerging stakeholder requirements.

Responsibilities include but not limited to:

• Champion the selection of Data and Analytics platforms and tools to be used across the enterprise.
• Engage with users and vendors to execute technology proof of concepts that validate use cases and the value of new solutions.
• Onboard new platforms and tools to ensure solutions are adopted effectively across the organization.
• Collaborate with Data Engineering and Data Science teams to identify tooling gaps and inefficiencies and partner to implement solutions for their needs.
• Build and maintain AWS infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
• Configure and manage core AWS services including EC2, S3, IAM, RDS, Lambda, Glue, Redshift and VPC Networking.
• Support data engineering and analytics teams by provisioning and optimizing cloud resources for data pipelines and analytics workloads.
• Implement monitoring, logging, and alerting solutions using tools like CloudWatch.
• Participate in CI/CD pipeline development and deployment automation.
• Ensure infrastructure security through proper IAM policies, encryption, and network configurations.
• Collaborate with data engineers, data scientists, and solution architects to improve infrastructure design and performance.
• Document infrastructure processes and configurations for operational transparency and team knowledge sharing.
• Ability to work with ambiguity and organize requirements to identify options.
• Ability to build productive relationships and collaborate with partners and stakeholders.
• Proficient in managing and maintaining Linux-based systems, including installation, configuration, performance tuning, and troubleshooting. Experienced with shell scripting, system security, user management, and automation tools to ensure reliable and efficient server operations.

Qualifications:

• 2-5 years of experience in cloud infrastructure engineering, with a focus on AWS.
• Experience working with structured and unstructured data and data storage technology RDS Postgres, S3
• Proficiency in Infrastructure as Code tools (Terraform, CloudFormation, or AWS CDK).
• Experience with AWS services relevant to data and analytics (e.g., Glue, Redshift).
• Familiarity with DevOps tools and practices (e.g., Git, GitHub, CI/CD, Docker).
• Basic scripting skills in Python, Bash, or PowerShell.
• Understanding of cloud networking, security, and cost optimization principles.
• Strong communication and collaboration skills.

Preferred Qualifications:

• AWS certification (e.g., AWS Certified Solutions Architect - Associate, Associate Developer or Associate Machine Learning Engineer).
• Exposure to big data tools and frameworks (e.g., Spark, Hive). Airflow, Control M, Streamsets
• Cloud Data Platforms: Snowflake, AWS Redshift, RDS, Postgres
• Data Governance & Cataloging: Informatica Intelligent Data Management Cloud (IDMC), Cloud Data Governance and Catalog (CDGC)
• Master Data Management: Reltio MDM for authoritative data domains
• AI Enablement: SageMaker, AWS Bedrock, Textract, etc. for AI development, MLflow for model lifecycle management
• Experience working in agile or cross-functional teams.

#LI-Hybrid**This position willhave a hybrid working arrangement, workingin-officefor a minimum of3days aweek.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. Ifyou'reina commutable distance (90 minutes)you'lljoin us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*

Summary

As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.

This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.

You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.

Responsibilities include but are not limited to:

AI Solution Development & Deployment

• Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.

• Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).

Operational Model Support & Optimization

• Monitor model performance, data drift, and operational KPIs.

• Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.

• Establish measurement frameworks to quantify operational impact of deployed solutions.

Data Engineering & Analytical Execution

• Transform structured, semi-structured, and unstructured data into actionable features and insights.

• Perform exploratory analysis and visualization to identify operational improvement opportunities.

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

• Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.

• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

• Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.

Required Qualifications

• Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.

• Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.

• Experience building operationalized data science solutions (not just prototypes).

• Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.

• Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.

• Strong ethical judgment with a commitment to responsible and unbiased AI development.

Preferred Qualifications

• 2+ years of hands-on experience in data science, applied AI, or machine learning.

• Experience supporting AI solutions in operational or production environments.

• Familiarity with MLOps practices, model governance frameworks, and automation tooling.

• Experience working in regulated industries (financial services preferred).

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

The Clinical Affairs Manager will provide clinical expertise, insight, and support to clinical end-users, clinical sales specialists, sales team, Regulatory, Engineering, marketing, and other corporate departments on safe and effective use of the Teleflex Medical product portfolio with primary emphasis on the Coronary/Structural Heart franchise. This position will support the appropriate clinical application of the Coronary/Structural Heart franchise via didactic, web-based, and teleconference education, and understanding of these products and best practices. Clinical support will be provided to physicians, nurses, techs, etc., to include support for live cases/proctorships in the therapeutic areas related to focus products. The Clinical Affairs Manager will drive innovation by identifying product attributes necessary to expand into new markets, or capitalize on new clinical applications; identify new, clinically driven product and market opportunities; and perform other related duties as required. Provide support during society engagements, facilitating the exchange of scientific information in close collaboration with CMA leadership and the broader clinical affairs interventional team.

Customer Experience Representing Teleflex in a customer-facing position is a tremendous responsibility and opportunity. All CMA colleagues are expected to perform with the highest levels of professionalism, service, and ethics to strengthen the Teleflex brand and relationship with our customers. Continuous Improvement - Demonstrates initiative and critical thinking to identify, prioritize process and performance gaps. Develops solutions to deliver improved results. Exemplifies continuous improvement thought processes and focus. Culture and Values Exemplifies Teleflex values and ensures a fair, open, and productive climate that is engaging, ethical, and legally compliant. Strives to work effectively across boundaries in a complex matrix environment. Identify and support BU field efforts for the Coronary/Structural Heart franchise through clinical and educational customer needs assessment, product and procedural training, live case coverage, and assist with customer follow-up for ongoing clinical support as needed. Maintain and develop expertise on the Coronary/Structural Heart Interventional product portfolio related to the specific clinical specialty area and expertise. Identify and expand the customer base through professional networking, consultation related to best practices and the appropriate clinical use of Teleflex products, and timely professional follow-up. Support Coronary/Structural Heart educational programs with aligned educational goals and needs of the Interventional Business Unit. Support scientific exchanges of information with medical societies. Pre-conference & in-booth educational programs, meetings with scientific committees, education grant support, and research submissions (in collaboration with the Global Research & Scientific Services team). Off-label support for Teleflex products in accordance with Teleflex policy & local legal regulations

Manage utilization of HCPs in accordance with Teleflex IPPs. Coordinate efforts between cross-functional partners, including Medical Affairs, Global Research & Scientific Services, marketing, and R&D. Coordinate, participate, and manage educational, scientific activities at identified local, regional, and national trade shows/exhibitions. Serve as part of the CMA clinical expert team on product applications and troubleshooting when interfacing with SBU Leadership, Clinical Sales Specialists, and Teleflex team members. Participate as a clinical expert on project teams, committees, and in meetings with various corporate departments to provide guidance as to the clinical perspectives for the Coronary/Structural franchise. Build and support infrastructure for speaker programs supporting Teleflex Academy, webinars, training content, and programs. Coordinate and participate in content development and review of education material as needed by IA BU or CMA. Manage all business-associated administrative tasks and responsibilities to support job-related activities, to include strict adherence to the Teleflex Medical T&E policies and procedures, timely filing of required and/or requested reports, and documentation of activities via approved documents and forms. Adhere to applicable Teleflex IPPs, Teleflex Code of Ethics, and all Company policies, rules, procedures, and housekeeping standards.

Bachelor's degree is required, preferably in clinical, biology, health sciences, or engineering. Procedural experience within Interventional Cardiology and/or Structural Heart Possess a minimum of five years' clinical exposure in the medical field in the Cardiology environment. Medical Device industry supporting Clinical and Medical Affairs, strongly preferred. Proficient in Microsoft Word, Excel, and PowerPoint required; SalesForce experience preferred.

• Preferred three to five (3 to 5) years of experience in implementing and managing Windows and Open Systems server infrastructure hybrid cloud solutions in an enterprise environment; healthcare experience preferred.
• Highly experienced information systems professional with a strong technical background and proven track record of accomplishments in a large, complex multi-level organization .
• Strong technical knowledge of VMWare ESX and Microsoft Hyper-V.
• Expertise in Microsoft Windows, Linux and AIX operating systems and management.
• Familiar with hyperconverged infrastructures such as VxRail.
• Familiar with Microsoft Azure Arc, System Center, Admin Center and SCCM.
• Familiar with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience in infrastructure-as-code (e.g., Terraform, CloudFormation) and containerization (e.g., Docker, Kubernetes).
• Experience in scripting (PowerShell, Python, Bash, etc.)
• Familiar with application delivery solutions such as Citrix.
• Experience with storage and data protection replication methodologies.
• Experience with Epic Infrastructure such as Hyperspace.
• Experience with ITSM functionalities such as change control, CMDB and ticketing systems.
• Strong knowledge of healthcare information systems (e.g., Epic, Cerner), cybersecurity and clinical operations.
• Prior experience delivering high availability systems in a 24/7 environment across geographically dispersed business units.
• Demonstrated ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals.
• Demonstrated commitment to customer service who has provided responsive and effective support, developed solid working relationships with customers, and delivered high quality, value-added services that met/exceeded customer expectations.
• Equally adept at developing technology strategies and the operation of existing technical infrastructures. Significant experience and knowledge of computing architecture and implementation of networked computing structures.
• Polished professional with demonstrated information technology experience and strong communication skills that can rapidly gain and maintain credibility with customers and IT colleagues.
  
  

• Bachelor’s degree in Information Technology, Computer Science, Healthcare Administration or related field strongly desired or an equivalent combination of education and experience.
  
  

• Preferred certifications include Microsoft Certified: Azure Fundamentals, VCP-DCV, ECSA.
  
  

• Responsible for installation and maintenance of server infrastructure along with upgrading/configuration and the life cycle management of hardware.
• Monitors functions of server infrastructure to ensure acceptable performance.
• Creates and maintains documentation related to server configuration and environments.
• Serves as subject matter expert across server operating systems and solutions (Microsoft Windows Server, Linux, AIX, VMWare ESX, Microsoft Hyper-V)
• Troubleshoots and resolves server and virtualization incidents.
• Maintain server patching to address security vulnerabilities.
• Collaborate with cloud compute architect to design and build functional server environments.
• Provide level 2 escalation support and troubleshooting to resolve complex server incidents and tasks.
• Stay current on cloud and systems engineering trends (e.g., serverless computing, containerization, AI-driven automation) and evaluate their potential to enhance TGC operations.
• Ensure systems, applications and data are high availability, backed up and/or replicated to meet disaster and business recovery requirements.
• Implement and enforce security requirements to protect Azure-based systems and data.
• Anticipates and provides solutions for complex problems and issues, recommends upgrades and enhancements. Rapidly absorbs complex technical and conceptual information to identify issues and implications. Able to present understandable alternatives to both technical and non-technical individuals at all levels of the organization.
• Monitors industry trends, maintains knowledge of developments in cloud computing, database, storage, data protection, virtualization, hyperconverged infrastructure, server automation, monitoring and application delivery.
• Promotes the use of TGC’s PMO methodology and standards to manage IT initiatives.
• Demonstrates commitment to customer service by providing responsive and effective support, developing solid working relationships with customers and IT colleagues, and delivering high quality, value-added services that exceed customer expectations.
• Demonstrates a commitment to excellence in Customer Service with all internal and external customers of TGC.
• Performs related duties as assigned and unrelated duties as requested.