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Mechanical Design Engineering
Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 20% domestic and/or international travel (rare)
The Principal Mechanical Design Engineer (Data Center Infrastructure) is a technical leader responsible for the architecture, integration, and validation of advanced mechanical systems supporting hyperscale data center environments. This role requires deep expertise in liquid cooling technologies (single-phase and two-phase), hydronic system design, structural integration, and manufacturable rack-level infrastructure solutions.
This role is responsible for defining system performance requirements, developing technical specifications, selection and integration of critical components, and leading mechanical design from concept through production release. Responsibilities include wetted material selection, thermal and structural analysis, fastening strategies, component layout, and design for manufacturability. Partners cross-functionally to deliver reliable, scalable, and cost-effective Data Center Infrastructure solutions while advancing innovation in liquid cooling performance.
Lead the end-to-end mechanical design and engineering of hyperscale Data Center Infrastructure (DCI) systems, including liquid-cooled rack assemblies, CDUs, manifolds, enclosures, structural frames, and associated hydronic piping systems.
Serve as the technical authority for single-phase and two-phase liquid cooling architectures, including primary and secondary loop design, in-rack distribution, and system integration within hyperscale data center environments.
Define and validate operational performance requirements for liquid-cooled infrastructure, including pressure ratings, hydrostatic limits, temperature ranges, flow rates and uniformity, thermal expansion, durability, and serviceability.
Design, analyze, and validate machined components, welded fabrications, manifolds, and structural systems using advanced engineering principles, including stress analysis, finite element analysis (FEA), flow modeling, and structural load calculations to ensure mechanical integrity and code compliance.
Lead wetted material selection and compatibility analysis for liquid cooling systems, including corrosion mitigation strategies, surface treatments, cleanliness standards, and long-term durability considerations.
Develop and review CAD models and complete technical data packages using CREO, SolidWorks, or equivalent tools; ensure design accuracy, manufacturability, and system-level integration.
Author and approve technical specifications for piping systems, rack-level cooling infrastructure, and hydronic components, including installation guidelines, maintenance procedures, testing requirements, and compliance with applicable standards (ASME, ISO).
Establish and oversee validation protocols including hydrostatic pressure testing, leak detection and mitigation, flow resistance analysis, and corrosion verification to ensure regulatory compliance and operational reliability.
Evaluate customer design proposals and technical specifications to assess feasibility, manufacturability, cost, and risk; provide recommendations to optimize performance and total cost of ownership.
Lead cross-functional design reviews with electrical, thermal, manufacturing, quality, and supply chain teams to ensure full system integration and compliance with product specifications and applicable plumbing and hydronic codes.
Optimize rack manifold design and manufacturing processes, including machining, welding, surface finishing, connection interfaces, venting and draining strategies, and flow path optimization to enhance performance and manufacturability.
Drive continuous improvement in manufacturing assembly methods and tooling in collaboration with production teams and equipment vendors to improve quality, scalability, and cost efficiency.
Lead root cause investigations for complex mechanical failures identified during validation or field deployment and implement corrective design improvements.
Provide technical leadership in vendor qualification and management for mechanical components and liquid cooling subsystems.
Identify and mitigate technical risks impacting performance, schedule, or cost, and contribute to R&D initiatives advancing liquid cooling technologies and system innovation.
Bachelor’s degree in Mechanical Engineering, Systems Engineering, or a related engineering discipline from an accredited university.
8 years' experience in mechanical design and integration of mission-critical systems.
~ Proven track record of successful system designs and implementations in a relevant industry
~ Strong understanding of mechanical systems, integration strategy, and system coordination
~ Familiarity with industry standards and regulations related to Energy Storage Systems and Data Center Infrastructure is preferred.
~ Master’s Degree in Mechanical Engineering
~
Remote working/work at home options are available for this role.
How will you make an impact?
We are looking for a Principal Thermal Rack Engineer within the Intelligent Infrastructure Segment to drive advanced cooling solutions for high-performance computing systems. This role involves incorporating thermal components such as direct liquid cooling (DLC) systems, coolant distribution units (CDUs), and manifolds into network and server racks (EIA 19” and ORv3). You will leverage CFD tools to perform rack and system-level thermal and fluid analysis, ensuring optimal flow distribution, pressure drop, and temperature performance. Additionally, you will create 3D CAD designs for seamless hardware integration, lead validation testing, and resolve thermal or flow issues through root cause analysis and corrective actions. Collaboration with cross-functional teams, customers, and global vendors is essential to align thermal architectures with overall system design and international standards.
What will you do?
- Lead the end-to-end integration and testing of rack thermal solutions, including liquid cooling systems in varying form factors and product lines.
- Use CFD tools (FloTherm or Macroflow) to perform switch, rack, and system-level thermal/fluid analysis (flow distribution, pressure drop, and temperature profiling).
- Design and optimize thermal components using 3D CAD (Creo or SolidWorks) to support seamless hardware integration and testing.
- Participate in customer engagements and site visits to understand and document deployment constraints and gather feedback for design improvements.
- Partner with factory teams to ensure racks are built with proper airflow, hose routing, and thermal safeguards, while establishing best practices that improve build consistency across deployments.
- Collaborate with Architects/Compliance/Reliability and global vendors to align thermal architectures with total system design and international data center/thermal/mechanical standards (e.g., UL, OCP, ASHRAE, ISTA, ASTM, NEBS).
- Conduct thermal, mechanical, and reliability testing, analyzing airflow, coolant flow rates, pressure drops, and structural integrity to ensure compliance with the end-users’ specifications.
- Develop and maintain design documentation including BOMs, wetted materials compliance, test plans, and engineering change orders (ECOs).
- Manage relationships with mechanical/thermal component vendors to build out a robust partner ecosystem consisting of racks, CDUs, hoses, manifolds, QDs, and cold plates.
- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (e.g., in-row cooling, in-rack cooling, rear door heat exchangers).
- Conduct root cause analysis and corrective actions for mechanical and thermal failures or field issues.
- May perform other duties and responsibilities as assigned.
How will you get here?
Education:
- Bachelor’s Degree in Mechanical/Thermal Engineering, Systems Engineering, or related field is required
Experience:
- Minimum of 7+ years of experience in thermal/mechanical systems integration
- 3+ years of specific experience in rack-scale thermal design and analysis
- Strong understanding of mechanical systems, integration strategies, and large-scale program management
- Familiarity with server design, heatsinks, cold plates, hoses, and blind-mate connectors
- Proficiency in CFD simulation (e.g. ANSYS, 6Sigma, etc.) and 3D modeling software (e.g. SolidWorks, Creo)
- Hands-on experience with thermal chambers, fans, and coolant
- Excellent English communication skills (verbal and written) with strong technical leadership capabilities
Knowledge, Skills, Abilities:
- Excellent interpersonal and communication skills
- Creative, self-motivated, accountable, and team-oriented
- Able to work independently with minimal oversight
- Capable of assessing projects, articulating risks, and developing project milestones
- Skilled in writing reports, business correspondence, and procedural guides
- Effective at presenting information and responding to management and customers
- Capable of influencing others and sharing best practices
- Familiar with stage-gate processes in project lifecycle management (PLCM)
- Ability to travel both domestically and internationally up to 30%
Preferred Qualifications:
- Master’s Degree in Mechanical Engineering, Systems Engineering or related field is preferred
- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
- Active Professional Engineer (PE) license preferred.
- Hands-on experience with prototype fabrication and testing; experience working with global suppliers and contract manufacturers a plus.
About Jabil’s Intelligent Infrastructure Group:
- Headquartered in Austin, TX, with a flagship facility located near The Domain and the Austin FC stadium
- Growing rapidly, with a team of more than 100 employees in Austin (500+ worldwide) and significant expansion planned through 2026
- Generated over $12 billion in FY25 revenue, driven largely by partnerships with major hyperscale customers
- Delivers cutting‑edge engineering, supply chain, and manufacturing solutions that power the world's AI infrastructure and global data center ecosystems
As part of the total rewards package, this position is eligible for:
- Annual bonus opportunity
- Medical, dental, and vision insurance plans
- Paid time off (PTO)
- 4 weeks of paid parental leave
- 11 company-paid holidays (9 fixed holidays and 2 optional floating holidays), subject to change yearly
- 401(k) retirement plan
- Employee stock purchase plan
Remote working/work at home options are available for this role.
*Securian Financial the internal position title is Engineering Sr Analyst or Engineering Consultant. Title and salary will be determined based on applied skills.*
Position Summary:
Join theEnterprise Partner Solutions (EPS)team as aLicensing and Compensation Engineer, where you'll drive innovation in partner experience using cutting-edge SAP technologies. This team envisions a future where every financial producer is empowered from day one through intuitive, reliable, and scalable technology. Our engineering team is committed to transforming the producer experience by delivering back-end systems that simplify onboarding, ensure compliance in licensing, and guarantee timely and accurate compensation. We strive to be the trusted backbone of producer operations, enabling our company to grow with confidence and integrity. If you're passionate about engineering solutions that make a measurable impact, this is your opportunity to shape the future of partner engagement at scale.
Responsibilities include but not limited to:
Support and maintain SAP technologies related to partner compensation and licensing, including APM (ICM), ALM, OK2, and Advanced Workflow.
Perform analysis, design, development, and integration on medium to high level complexity assignments.
Develop and support automation capabilities through webservices and APIs.
Troubleshoot and resolve incidents across the licensing and compensation platform, including integrations with internal and external systems.
Collaborate with product analysts, quality engineers, and business stakeholders to deliver enhancements and ensure platform stability.
Analyze job failures, support tickets, and backlog stories to identify trends and drive continuous improvement.
Participate in Agile ceremonies and contribute to sprint planning, story refinement, and retrospectives.
Document technical processes and contribute to knowledge sharing across the EPS team.
Qualifications:
Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
3+ years of experience supporting SAP technologies, preferably in compensation or licensing domains.
Familiarity with SAP ICM/APM and ALM modules.
Strong problem-solving skills and ability to manage multiple priorities.
Excellent communication skills and ability to work cross-functionally.
Experience with Agile methodologies and DevOps practices is a plus.
Preferred Qualifications:
SAP Certification in relevant Modules
Development Languages: Java, Groovy, SQL, Git, IntelliJ, webservices
Understanding of compensation payment structures for agents and familiarity with licensing and regulatory compliance frameworks governing producer eligibility to sell products.
Ability to work independently and as part of a collaborative team.
Commitment to continuous learning and process improvement.
#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:
$72,000.00 - $134,000.00Pay 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).
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Remote working/work at home options are available for this role.
LHH is seeking a Senior Databricks AI/ML Engineer to join our client's team in a fully remote role based in Seattle, WA. Candidates must live in one of the following states, and be prepared to pass a background check/identity verification process: WA, OR, ID, OH, SC, NC, TX, or FL
LHH has a dynamic and challenging opportunity for a Senior Databricks AI/ML Engineer to join our client's engineering team. This role focuses on building and deploying scalable AI/ML solutions across key areas of the insurance functions, including underwriting, claims, pricing, customer engagement, and fraud detection, with a strong emphasis on Databricks architecture and ecosystem integration. The engineer will collaborate closely with data scientists, actuaries, product owners, and engineers to operationalize models, transforming them into robust, production-grade systems seamlessly integrated into business workflows and enterprise platforms.
Salary & Benefits:
- $150k to $185k annually (depending on location & experience)
- Medical, dental, and vision insurance
- 401(k) plan with employer match
- Vacation time accrues at a rate of 10 days annually, with increases based on a tenure schedule, up to a maximum of 25 days per year.
- PTO included Four (4) personal days are granted immediately upon hire.
- Paid holidays are provided for the eight (8) holidays observed in this role throughout the calendar year.
- Up to ten (10) days of sick leave are granted immediately upon hire (pro-rated based on hire date and full-time/part-time status).
- Additional paid time off is available for bereavement, jury duty, and employee volunteer activities in the community.
- Life and disability insurance
Minimum Qualifications:
- Bachelor's degree in Computer Science, AI/ML, Data Science/Engineering, or related field (or equivalent experience).
- 6+ years experience in ETL pipelines, SQL Server, and production data workflows.
- 3+ years enterprise experience with Azure & Databricks AI/ML, including data analysis and visual analytics.
- 3+ years applying ML algorithms and transforming data science prototypes into production.
- 5+ years experience with CI/CD workflows for ML models and related code.
- Strong SQL, real-time and batch data pipeline development, and unsupervised learning techniques.
- Familiarity with agile methodologies (e.g., Scrum).
Responsibilities:
- Conduct customer workshops to gather requirements and design analytics architectures using Azure and Databricks AI/ML.
- Serve as Databricks Architect, managing workspace design, deployment, and governance across environments.
- Define and implement Databricks Lakehouse architecture and governance best practices.
- Integrate Databricks with Azure services and lead implementation of Databricks SQL, Delta Live Tables, and MLflow.
- Develop and maintain automated MLOps workflows for model deployment, monitoring, and lifecycle management.
- Set up and configure Azure and Databricks infrastructure for AI/ML workloads.
- Review ML model code and analytics scripts for quality and performance.
- Design and build data pipelines and cloud services for monitoring, analysis, and reporting.
- Develop robust ETL workflows using Databricks, Spark, and SQL Server for structured and unstructured data.
- Provide production support and performance tuning for data engineering workflows.
- Optimize complex SQL queries and stored procedures for data processing and business logic.
- Collaborate with cross-functional teams to ensure data quality and support business decision-making.
- Scale and deploy machine learning models to handle large-scale data.
- Feed raw data into models and build deployment pipelines for new models.
- Implement logging, observability, and performance monitoring for AI/ML systems.
- Conduct architecture reviews and performance testing.
- Perform other duties as assigned.
Preferred Qualifications:
- Master's degree in a related field.
- Experience in the insurance industry (Auto, Home, Umbrella) and related AI/ML applications.
- Proficiency with tools/platforms: Azure ML, Databricks, Microsoft Fabric, Synapse, Power BI, Snowflake, and APIs like Azure OpenAI and Cognitive Services.
- Knowledge of streaming frameworks: Apache Kafka, Azure Event Hubs, Delta Live Tables.
- Strong math, problem-solving, and rapid learning skills.
- Excellent communication, organization, and independent work capabilities.
- Service-oriented mindset with ability to handle ambiguity and build strong relationships.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers
• San Francisco Fair Chance Ordinance
Remote working/work at home options are available for this role.
How will you make an impact?
We are looking for a Principal Thermal Rack Engineer within the Intelligent Infrastructure Segment to drive advanced cooling solutions for high-performance computing systems. This role involves incorporating thermal components such as direct liquid cooling (DLC) systems, coolant distribution units (CDUs), and manifolds into network and server racks (EIA 19” and ORv3). You will leverage CFD tools to perform rack and system-level thermal and fluid analysis, ensuring optimal flow distribution, pressure drop, and temperature performance. Additionally, you will create 3D CAD designs for seamless hardware integration, lead validation testing, and resolve thermal or flow issues through root cause analysis and corrective actions. Collaboration with cross-functional teams, customers, and global vendors is essential to align thermal architectures with overall system design and international standards.
What will you do?
- Lead the end-to-end integration and testing of rack thermal solutions, including liquid cooling systems in varying form factors and product lines.
- Use CFD tools (FloTherm or Macroflow) to perform switch, rack, and system-level thermal/fluid analysis (flow distribution, pressure drop, and temperature profiling).
- Design and optimize thermal components using 3D CAD (Creo or SolidWorks) to support seamless hardware integration and testing.
- Participate in customer engagements and site visits to understand and document deployment constraints and gather feedback for design improvements.
- Partner with factory teams to ensure racks are built with proper airflow, hose routing, and thermal safeguards, while establishing best practices that improve build consistency across deployments.
- Collaborate with Architects/Compliance/Reliability and global vendors to align thermal architectures with total system design and international data center/thermal/mechanical standards (e.g., UL, OCP, ASHRAE, ISTA, ASTM, NEBS).
- Conduct thermal, mechanical, and reliability testing, analyzing airflow, coolant flow rates, pressure drops, and structural integrity to ensure compliance with the end-users’ specifications.
- Develop and maintain design documentation including BOMs, wetted materials compliance, test plans, and engineering change orders (ECOs).
- Manage relationships with mechanical/thermal component vendors to build out a robust partner ecosystem consisting of racks, CDUs, hoses, manifolds, QDs, and cold plates.
- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (e.g., in-row cooling, in-rack cooling, rear door heat exchangers).
- Conduct root cause analysis and corrective actions for mechanical and thermal failures or field issues.
- May perform other duties and responsibilities as assigned.
How will you get here?
Education:
- Bachelor’s Degree in Mechanical/Thermal Engineering, Systems Engineering, or related field is required
Experience:
- Minimum of 7+ years of experience in thermal/mechanical systems integration
- 3+ years of specific experience in rack-scale thermal design and analysis
- Strong understanding of mechanical systems, integration strategies, and large-scale program management
- Familiarity with server design, heatsinks, cold plates, hoses, and blind-mate connectors
- Proficiency in CFD simulation (e.g. ANSYS, 6Sigma, etc.) and 3D modeling software (e.g. SolidWorks, Creo)
- Hands-on experience with thermal chambers, fans, and coolant
- Excellent English communication skills (verbal and written) with strong technical leadership capabilities
Knowledge, Skills, Abilities:
- Excellent interpersonal and communication skills
- Creative, self-motivated, accountable, and team-oriented
- Able to work independently with minimal oversight
- Capable of assessing projects, articulating risks, and developing project milestones
- Skilled in writing reports, business correspondence, and procedural guides
- Effective at presenting information and responding to management and customers
- Capable of influencing others and sharing best practices
- Familiar with stage-gate processes in project lifecycle management (PLCM)
- Ability to travel both domestically and internationally up to 30%
Preferred Qualifications:
- Master’s Degree in Mechanical Engineering, Systems Engineering or related field is preferred
- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
- Active Professional Engineer (PE) license preferred.
- Hands-on experience with prototype fabrication and testing; experience working with global suppliers and contract manufacturers a plus.
About Jabil’s Intelligent Infrastructure Group:
- Headquartered in Austin, TX, with a flagship facility located near The Domain and the Austin FC stadium
- Growing rapidly, with a team of more than 100 employees in Austin (500+ worldwide) and significant expansion planned through 2026
- Generated over $12 billion in FY25 revenue, driven largely by partnerships with major hyperscale customers
- Delivers cutting‑edge engineering, supply chain, and manufacturing solutions that power the world's AI infrastructure and global data center ecosystems
As part of the total rewards package, this position is eligible for:
- Annual bonus opportunity
- Medical, dental, and vision insurance plans
- Paid time off (PTO)
- 4 weeks of paid parental leave
- 11 company-paid holidays (9 fixed holidays and 2 optional floating holidays), subject to change yearly
- 401(k) retirement plan
- Employee stock purchase plan
Remote working/work at home options are available for this role.
Job Family: Mechanical Design Engineering
Organization: Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 20% domestic and/or international travel (rare)
How will you make an impact?
The Principal Mechanical Design Engineer (Data Center Infrastructure) is a technical leader responsible for the architecture, integration, and validation of advanced mechanical systems supporting hyperscale data center environments. This role requires deep expertise in liquid cooling technologies (single-phase and two-phase), hydronic system design, structural integration, and manufacturable rack-level infrastructure solutions.
This role is responsible for defining system performance requirements, developing technical specifications, selection and integration of critical components, and leading mechanical design from concept through production release. Responsibilities include wetted material selection, thermal and structural analysis, fastening strategies, component layout, and design for manufacturability. Partners cross-functionally to deliver reliable, scalable, and cost-effective Data Center Infrastructure solutions while advancing innovation in liquid cooling performance.
What will you do?
- Lead the end-to-end mechanical design and engineering of hyperscale Data Center Infrastructure (DCI) systems, including liquid-cooled rack assemblies, CDUs, manifolds, enclosures, structural frames, and associated hydronic piping systems.
- Serve as the technical authority for single-phase and two-phase liquid cooling architectures, including primary and secondary loop design, in-rack distribution, and system integration within hyperscale data center environments.
- Define and validate operational performance requirements for liquid-cooled infrastructure, including pressure ratings, hydrostatic limits, temperature ranges, flow rates and uniformity, thermal expansion, durability, and serviceability.
- Design, analyze, and validate machined components, welded fabrications, manifolds, and structural systems using advanced engineering principles, including stress analysis, finite element analysis (FEA), flow modeling, and structural load calculations to ensure mechanical integrity and code compliance.
- Lead wetted material selection and compatibility analysis for liquid cooling systems, including corrosion mitigation strategies, surface treatments, cleanliness standards, and long-term durability considerations.
- Develop and review CAD models and complete technical data packages using CREO, SolidWorks, or equivalent tools; ensure design accuracy, manufacturability, and system-level integration.
- Author and approve technical specifications for piping systems, rack-level cooling infrastructure, and hydronic components, including installation guidelines, maintenance procedures, testing requirements, and compliance with applicable standards (ASME, ISO).
- Establish and oversee validation protocols including hydrostatic pressure testing, leak detection and mitigation, flow resistance analysis, and corrosion verification to ensure regulatory compliance and operational reliability.
- Evaluate customer design proposals and technical specifications to assess feasibility, manufacturability, cost, and risk; provide recommendations to optimize performance and total cost of ownership.
- Lead cross-functional design reviews with electrical, thermal, manufacturing, quality, and supply chain teams to ensure full system integration and compliance with product specifications and applicable plumbing and hydronic codes.
- Optimize rack manifold design and manufacturing processes, including machining, welding, surface finishing, connection interfaces, venting and draining strategies, and flow path optimization to enhance performance and manufacturability.
- Drive continuous improvement in manufacturing assembly methods and tooling in collaboration with production teams and equipment vendors to improve quality, scalability, and cost efficiency.
- Lead root cause investigations for complex mechanical failures identified during validation or field deployment and implement corrective design improvements.
- Provide technical leadership in vendor qualification and management for mechanical components and liquid cooling subsystems.
- Identify and mitigate technical risks impacting performance, schedule, or cost, and contribute to R&D initiatives advancing liquid cooling technologies and system innovation.
MINIMUM QUALIFICATIONS
Education:
- Bachelor’s degree in Mechanical Engineering, Systems Engineering, or a related engineering discipline from an accredited university.
Experience:
- 8 years' experience in mechanical design and integration of mission-critical systems.
- Proven track record of successful system designs and implementations in a relevant industry
- Strong understanding of mechanical systems, integration strategy, and system coordination
- Familiarity with industry standards and regulations related to Energy Storage Systems and Data Center Infrastructure is preferred.
- Excellent problem-solving skills and attention to detail
- Strong communication and teamwork abilities
PREFERRED QUALIFICATIONS
- Master’s Degree in Mechanical Engineering
- Professional Engineer (PE) License
Remote working/work at home options are available for this role.
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
Remote working/work at home options are available for this role.
Sr. Data Engineer (Hybrid)
Chicago, IL
The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.
At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.
We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.
We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.
As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.
RESPONSIBILITIES:
Data Engineering & AI Enablement
- Build and maintain scalable data pipelines and
ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
cases. - Implement best practice patterns for ingestion,
transformation, modeling, and orchestration within a modern lakehouse
environment (e.g., Databricks, Delta Lake, Azure Data Lake). - Develop highperformance
data models and curated datasets with strong attention to quality, usability,
and interoperability; create reusable engineering components and automation. - Collaborate with the Architecture Team, the Data
Platform Lead, and federated IT teams to optimize storage, compute, and
architectural patterns for performance and costefficiency. - Build model-ready data sets and feature
pipelines to support AI/ ML use cases; serve as a technical coordination point
supporting business units' AI-related infrastructure needs. - Collaborate with data scientists and AI Working
Group to operationalize models responsibly and maintain ongoing monitoring
signals.
Governance, Quality & Compliance
- Embed data governance, metadata standards,
lineage tracking, and quality controls directly into engineering workflows;
ensure technical implementation and alignment within engineering workflows. - Work with the Data Governance Lead and business
stakeholders to operationalize stewardship, classification, validation,
retention, and access standards. - Implement privacybydesign and securitybydesign
principles, ensuring compliance with internal policies and regulatory
obligations. - Maintain documentation for pipelines, datasets,
and transformations to support transparency and audit requirements.
Platform Reliability, Observability & Optimization
- Monitor and troubleshoot pipeline failures,
performance bottlenecks, data anomalies, and platformlevel issues. - Implement observability tooling, alerts,
logging, and dashboards to ensure endtoend reliability. - Support cost governance by optimizing compute
resources, refining job schedules, and advising on efficient architecture. - Collaborate with the Data Platform Lead on
scaling, configuration management, CI/CD pipelines, and environment management. - Collaborate with business units to understand
data needs, translate them into engineering requirements, and deliver
fit-for-purpose data solutions; share and apply best practices and emerging
technologies within assigned initiatives. - Work with IT Security and Legal/ Compliance to
ensure platform and datasets meet risk and regulatory standards.
Staff Management
- Lead, mentor, and provide management oversight
for staff. - Responsible for setting objectives, evaluating
employee performance, and fostering a collaborative team environment. - Responsible for developing staff knowledge and
skills to support career development.
May include other responsibilities as assigned
REQUIREMENTS:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
- 5+ years of experience in data engineering within cloud environments
- Experience in people management preferred.
- Demonstrated hands-on experience with modern data platforms (Databricks preferred).
- Proficiency in Python, SQL, and data
transformation frameworks. - Experience designing and operationalizing
ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
CI/CD processes. - Solid understanding of data modeling,
structured/unstructured data patterns, and schema design. - Experience implementing governance and quality
controls: metadata, lineage, validation, stewardship workflows. - Working knowledge of cloud architecture, IAM,
networking, and security best practices. - Demonstrated ability to collaborate across
technical and business teams. - Exposure to AI/ML engineering concepts, feature
stores, model monitoring, or MLOps patterns. - Experience with infrastructureascode
(Terraform, CloudFormation) or DevOps tooling.
The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.
This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.
We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.
THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION
Apply NowShare Save JobRemote working/work at home options are available for this role.
*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:
$89,000.00 - $164,300.00Pay 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
Remote working/work at home options are available for this role.
*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:
$72,000.00 - $134,000.00Pay 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
Remote working/work at home options are available for this role.
