Engineering Jobs in Carnegie Pennsylvania Remote

Structural Department Manager

Pittsburgh, Pennsylvania Office

RT Patterson (Powered by Allied Resources Group) has an immediate opening in our Pittsburgh, Pennsylvania office for a full-time Structural Department Manager to design and implement heavy industrial facility (new and existing) equipment and structural foundations, piles, mill buildings, structures/platforms, and pipe racks/supports. To do well in this role we you are a licensed professional engineer and have extensive experience as a Civil/Structural engineer conforming to the following responsibilities and requirements.

Structural Engineer Responsibilities:

• Perform basic and advanced engineering analysis and design for heavy industrial facilities. Implement design or analysis tasks in accordance with building code requirements.
• Collect. review, and prepare data and information (Design Criteria) needed for project design.
• Conduct field/site trips and investigations associated with a project where you will obtain needed information and measurements.
• Supervise the work of other engineers and CAD technicians/designers.
• Manage design work from beginning to end.
• Review of construction drawings.
• Review and approval of fabrication drawings.
• Ensuring compliance with specifications, codes, or customer requirements by directing or coordinating installation, manufacturing, construction, maintenance, documentation, support, or testing activities.
• Writing reports and compiling data regarding existing and potential structural engineering projects and studies.
• Preparing civil/structural construction specifications.
• Training of project team members.
• Estimating material, labor, or construction costs for budget preparation.
• Manage engineering projects and deliver them on time.
• Define customer needs and requirements.
• Collaborate with engineers and CAD technicians/designers from other disciplines as well as other companies. Work in a team environment.

Structural Engineer Requirements:

• Minimum of bachelor’s degree in civil/structural engineering degree from an ABET accredited school.
• 5+ years relevant work experience, including internship or cooperative program experience.
• Licensed as a professional engineer. (required)
• Knowledge of AISC, ACI, ASCE, IBC, Mill Building standards.
• Proficient in design and calculation software – STAAD.Pro and/or RISA 3D.
• Knowledge of civil/structural Excel spreadsheets and MathCAD preferred.
• Proven expertise as a Structural Engineer.
• Must have a working knowledge of AutoCAD. Knowledge of Advanced Steel is a plus.
• Proficient in the use of Word, Excel, PowerPoint, and other Office Suite software.
• Ability to travel to client sites to obtain needed information.
• Problem-solving abilities.
• Written and spoken English proficiency.
• Proficient in writing and editing project specifications, technical reports, and proposals.
• Demonstrated ability to meet deadlines.
• Attention to detail.
• Strong oral and written communication skills.
• Strong organizational skills.

Other:

-Salary commensurate with experience.

-An Approximate range is $150,000 - $155,000

-Hybrid, 3 days in office

-Office is in Downtown Pittsburgh - a Parking pass is provided

This is a great opportunity for someone to grow in their career!

Senior Automation Controls & Vision Engineer

Travel: Up to 25% (including international)

Local - Pittsburgh, PA

Benefits- Medical, Dental, Vision, Life and Disability Insurance, and 401K. In addition ESP Plan, and Tuition Reimbursement.

About Us

Our Client is a global medical technology company dedicated to improving the quality, effectiveness, and efficiency of health care. Their innovative solutions address advanced hospital technologies, plasma collection systems, and products that enable labs and centers to collect high-demand blood components.

Position Summary

The Senior Automation Controls & Vision Engineer leads the design, integration, and optimization of advanced automation and vision-based inspection systems across our global manufacturing operations. This role partners closely with R&D, Manufacturing, Quality, and Software Engineering to deploy high-performance, defect-detection and quality control solutions.

Key Responsibilities

• Integrate and optimize machine vision systems (Cognex, Keyence, Teledyne, SICK, Fanuc, KUKA, Dalsa).
• Configure lighting, lensing, positioning, and vibration control to ensure inspection reliability.
• Design and program Allen-Bradley PLC systems (ControlLogix, CompactLogix, FactoryTalk).
• Develop HMIs, safety interlocks, and integrated automation architectures.
• Program and integrate Epson and/or ABB robots (preferred).
• Lead projects from concept through validation and deployment.
• Drive continuous improvement, Industry 4.0, and data-driven manufacturing initiatives.

Qualifications

• Bachelor’s Degree in Engineering (Electrical, Computer, or related field preferred).
• 5+ years of experience in automation controls and/or vision system engineering.
• Strong Allen-Bradley PLC programming expertise.
• Hands-on machine vision setup and optimization experience.
• Programming experience in C++ or Python.
• Medical device manufacturing experience preferred.
• Lean/Six Sigma certification a plus.

Job Title : Nuclear Engineer (Naval Reactors Engineer) Category / Component : Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards.

Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation.

What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication.

Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding.

Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields.

Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements.

Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy.

Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter.

Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work.

Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities.

Specific options depend on the Sailor's status, training, and current Navy policy.

Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options.

Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance.

Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed.

Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source.

Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community.

It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes.

Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

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:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. 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

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

PM22
#Remote

PI7087748e2d7e-3631

*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:

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