Engineering Structures Jobs in Quincy Massachusetts Remote

The Role

As Senior Project Engineer, you will work alongside senior project managers serving as owner's representative on behalf of a confidential defense tech client. You will be a critical part of the project delivery team, supporting the day-to-day execution of complex construction projects from the owner's side. This is a hands-on, high-visibility role with real exposure to executive-level clients and mission-critical work.

What You'll Own

• Support senior PMs in managing proposals, drafting meeting minutes, contract creation, and client reporting documents
• Assist in the creation and ongoing updates of project budgets and schedules
• Manage document control, change order processing, monthly invoicing, TI allowance reimbursement, and project closeout in coordination with project managers
• Day-to-day involvement across multiple concurrent, complex construction projects
• Interface directly with PMs, clients, and brokers on evolving project requirements

What We're Looking For

• 1-4 years of experience in the construction industry, preferably as a Project Engineer or Senior Project Engineer
• Experience with tenant improvement projects required
• Hands-on experience with invoice processing, schedule and budget creation and updates, and meeting minutes required
• A strong tendency toward leadership and a solid understanding of the design, permitting, bidding, construction, and closeout process
• Highly proficient in Bluebeam, Microsoft Excel, Microsoft Word, and Microsoft Project
• Sharp communicator, written and verbal, comfortable interfacing with senior stakeholders
• Self-directed and deadline-driven, with the ability to juggle multiple tasks and adapt quickly to shifting priorities

Compensation & Details

• Competitive base salary commensurate with experience ranging from $80,000-$110,000
• Competitive benefits package and long-term career growth
• Combination of in-office and onsite project work
• Travel as required to support client projects
• Bachelor's degree required, preferably in Construction Management, Engineering, or Architecture

About the Company

Our client is a well-established global insurance and financial services organization known for its strong reputation, financial stability, and long-term commitment to innovation. The company is investing heavily in modern technology and data platforms to transform how insurance products are delivered to professionals and small businesses.

Within this organization, a rapidly growing digital product team is focused on simplifying insurance through modern technology, data-driven decision making, and scalable cloud infrastructure. The team operates in a collaborative, fast-paced environment and places a strong emphasis on engineering excellence, ownership, and continuous improvement.

About the Role

Our client is seeking a Senior Data Engineer to join their Platform Engineering team in Boston. This role will play a key part in designing, building, and scaling a modern cloud-native data platform used to support analytics, business intelligence, and data-driven decision making across the organization.

This individual will work closely with engineering leaders, data teams, and business stakeholders to develop scalable data integration pipelines and build the foundation for enterprise analytics. The role is highly hands-on and ideal for someone who enjoys building data platforms, working with cloud technologies, and enabling self-service analytics.

The team operates in an Agile environment and values collaboration, ownership, and continuous improvement.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL Server
• Build configuration-driven ingestion processes to support batch and near real-time data pipelines
• Integrate and transform data from multiple sources including APIs, JSON, CSV, XLS, and other structured and semi-structured formats
• Design and document data models, data flows, and data dictionaries to support enterprise analytics
• Implement Lakehouse architecture using Medallion data modeling patterns
• Develop datasets and reporting pipelines supporting Power BI and enterprise analytics
• Maintain the health, security, and scalability of the Azure-based data platform
• Implement best practices for data governance, metadata management, lineage, and access control
• Build and maintain CI/CD pipelines for data infrastructure using tools such as GitHub Actions or CircleCI
• Implement monitoring, alerting, and observability for data pipelines and platform performance
• Optimize data pipelines for performance, scalability, and cost efficiency
• Work cross-functionally with engineering, product, and business teams to define and deliver data products
• Participate in Agile ceremonies including sprint planning, backlog refinement, and delivery cycles
• Mentor junior engineers and contribute to the ongoing development of the data engineering team
• Stay current on emerging technologies and best practices in data engineering

Qualifications

• 7+ years of professional experience in data engineering or data platform development
• Strong experience working in Azure environments, particularly: Azure Data Factory, Databricks, SQL Server / T-SQL
• Experience building scalable ETL / ELT data pipelines
• Experience integrating data from multiple sources including APIs, JSON, XML, CSV, and other formats
• Strong understanding of data warehousing, dimensional modeling, and Lakehouse architecture
• Experience with Power BI, SSRS, or other reporting platforms
• Hands-on experience with CI/CD pipelines and DataOps practices
• Familiarity with data governance, data quality, metadata management, and MDM
• Experience working in Agile development environments
• Strong communication and collaboration skills with the ability to work across technical and business teams
• Experience mentoring or guiding other engineers is a plus

Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance

Join us to build the technical foundation for AI accountability.

The Role

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.

The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.

What You'll Do

Months 1–3: Learn the System

Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.

Months 4–6: Build for Scale

Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.

Months 7–12: Expand

Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.

Why This Role Is Difficult

This is infrastructure for a scientific standard, not a product feature.

Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.

You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like \"operationalizing an ethical construct\" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.

The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.

You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.

You're probably the right person if

You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime

You're comfortable with GCP and have deployed containerized workloads in a real production context

You've worked with LLM APIs and understand their reliability and reproducibility characteristics

You can read a paper about measurement methodology and turn it into a working data structure

You build for durability. Your code is still running 18 months later because you thought about the next person

You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook

You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow

You're probably not the right fit if

Enterprise environments make up most of your experience. This is not a large-team context

You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists

You're based on the West Coast US or expect West Coast US working hours

You mainly build user-facing APIs and features — this is systems and infrastructure work

You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.

Hard Skills

These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.

• Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
• Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
• API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
• Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
• LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
• Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
• Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
• Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically

What you get

The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.

The comp: Base salary $110,000.

The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.

The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.

Freelance Sales Director Global Technology Staffing & Remote Workforce

Location: Boston, Massachusetts, United States

Experience: 8+ Years

People Prime is a global talent solutions company specializing in helping organizations build high-performing technology teams through Remote hiring, Staff augmentation, and Offshore delivery models.

Headquartered in India, People Prime connects companies worldwide with highly skilled technology professionals across emerging and advanced digital domains. We enable organizations to scale faster by providing access to a curated network of experienced engineers, AI specialists, data professionals, and technology consultants who can work remotely or as part of distributed global teams.

People Prime focuses on enabling companies to hire high-quality remote technology talent from India, one of the world’s largest and fastest-growing technology talent markets. Through our strong recruitment ecosystem and technical screening process, we provide organizations with access to professionals across a wide range of digital and enterprise technologies.

1. Artificial Intelligence & Machine Learning: Machine Learning Engineers: Generative AI Engineers: Prompt Engineers: Natural Language Processing (NLP) Specialists: Computer Vision Engineers: AI Model Training & Fine-Tuning Experts
2. Data Engineering & Analytics: Data Engineers, Data Architects: Data Scientists: Big Data Specialists, Data Platform Engineers: Analytics & BI Professionals
3. Cloud & DevOps: Cloud Architects (AWS, Azure, GCP): DevOps Engineers: Platform Engineers, Kubernetes Specialists: Infrastructure Automation Experts
4. Software Engineering: Full Stack Developers: Backend Engineers: Frontend Engineers: Mobile Application Developers: Microservices & API Developers
5. Enterprise Platforms: SAP Consultants: Salesforce Experts: ServiceNow Professionals: ERP & Digital Transformation Specialists

Key Responsibilities:

• Identify and acquire new clients seeking technology staffing or remote engineering teams

• Generate opportunities for contract staffing, staff augmentation, and distributed engineering teams

• Develop relationships with technology companies, startups, and enterprise clients

• Present People Prime’s global talent and offshore delivery capabilities

• Build and manage a strong pipeline of staffing opportunities

• Collaborate with delivery and recruitment teams in India to fulfill client requirements

• Negotiate client contracts, rate cards, and service agreements

• Track hiring trends in AI, data engineering, cloud, and software development

Required Qualifications:

• 8+ years’ experience in IT staffing business development or recruitment sales

• Proven track record of generating staffing opportunities and closing new clients

• Strong network within technology companies, startups, or enterprise organizations

• Experience selling staff augmentation or contract staffing services

• Excellent communication, negotiation, and relationship management skills

Preferred Experience:

• Experience selling offshore technology talent or remote engineering teams

• Exposure to hiring in AI, data engineering, cloud, or software development domains

• Understanding of distributed workforce and remote hiring models

Success Metrics:

Success in this role will be measured by:

• New client acquisitions

• Remote staffing requirements generated

• Revenue from staffing engagements

• Successful onboarding of consultants

• Client retention and satisfaction

Performance expectation:

Minimum 4 Contract placements per month

Compensation:

USD 1500 Payable on Every AI/ Technology Contractor Successful onboarding ( Minimum 5 Onboards Expected Every Month )

6% of gross margin for the first 6 months of each engagement

Why Join People Prime:

• Sell high-demand global technology talent solutions

• Work with a scalable offshore delivery model with great cost advantage to clients

• High earning potential with strong commission structure

• Exposure to fast-growing sectors such as AI, cloud, and data engineering

• Opportunity to build long-term partnerships with global technology companies

Senior Software Engineer – Deployment & Reliability (Digital Pathology / Medical Imaging)

A fast-growing technology company operating in the digital pathology and medical imaging space is seeking a Senior Software Engineer to support the deployment, configuration, and long-term reliability of advanced imaging and AI-driven software systems.

This role sits at the intersection of software deployment, infrastructure engineering, and site reliability, ensuring complex software platforms are successfully installed, integrated with customer IT environments, and maintained at high levels of performance and stability.

You will work closely with engineering, customer support, and monitoring teams to ensure a smooth transition from system deployment to ongoing operational support while contributing to improvements that make deployments more scalable and reliable over time.

Key Responsibilities

Deployment & Configuration

• Lead end-to-end deployments of imaging, AI, and data management software systems at customer environments
• Configure and integrate servers, clusters, and storage systems within hospital or laboratory IT infrastructures
• Work with networking, authentication, storage, and security configurations to ensure successful installations
• Collaborate with field engineering teams during system installation and commissioning
• Develop standardized deployment playbooks, documentation, and validation checklists

System Reliability & Upgrades

• Manage software version rollouts, upgrades, and patching across deployed customer environments
• Work with monitoring and observability teams to track system performance and health
• Troubleshoot complex issues across multi-component systems including imaging software, AI inference pipelines, and storage layers
• Improve automation around upgrades, rollbacks, and maintenance processes

Engineering Collaboration & Continuous Improvement

• Identify recurring deployment or performance challenges and work with R&D teams to design long-term solutions
• Provide structured feedback from field deployments to improve product architecture and deployment workflows
• Validate new deployment tools, frameworks, and configuration approaches prior to wider rollout
• Contribute to improving the scalability and resilience of the overall platform

Customer IT & Cross-Functional Collaboration

• Serve as a technical liaison with customer IT teams regarding networking, infrastructure, security, and data access
• Ensure deployments comply with institutional IT policies and healthcare regulatory requirements
• Collaborate closely with support and monitoring teams to align escalation processes and root cause investigations
• Participate in post-deployment reviews to improve operational processes and reliability

Documentation & Knowledge Sharing

• Maintain detailed installation and configuration documentation
• Develop deployment guides, troubleshooting documentation, and internal knowledge resources
• Support and mentor field teams on standardized deployment and configuration practices

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related discipline
• 5+ years of experience in software deployment, DevOps, infrastructure engineering, or systems engineering
• Strong Linux (Ubuntu) administration and scripting skills
• Experience with containerization and orchestration technologies (Docker, Kubernetes)
• Experience with database technologies such as PostgreSQL or MongoDB
• Familiarity with web service configuration (Nginx or Apache)
• Solid understanding of networking concepts including VPNs, firewalls, and authentication systems
• Ability to troubleshoot complex distributed systems across software, infrastructure, and data layers
• Strong communication and collaboration skills when working with cross-functional teams and customer IT stakeholders

Preferred Experience

• Exposure to medical imaging systems, digital pathology, or healthcare technology environments
• Familiarity with DICOM or PACS systems
• Experience deploying or supporting AI/ML models in production environments
• Experience with observability and monitoring tools (Prometheus, Grafana, ELK)
• Knowledge of regulated environments and healthcare compliance frameworks (HIPAA, GDPR, IVDR)
• Experience supporting hardware and software integrated systems

Why This Role

This position offers the opportunity to work on advanced digital pathology and imaging technologies that support clinical diagnostics and research globally. The role combines hands-on technical deployment with the chance to influence how complex systems are designed, automated, and scaled across a growing global customer base.

Title: Lead Software Engineer - AI Application Platform

Mode of interview 1 round in person

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

Main Skill set: Python, AI and Angular

Description:

Lead Software Engineer - AI Application Platform

The Opportunity

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

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

This is for someone who:

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

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

The Platform Challenge

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

What this means architecturally:

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

Experience that directly transfers:

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

Core Responsibilities

1. Technical Architecture & Systems Thinking (40%)

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

2. Code Review & Technical Guidance (30%)

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

3. Mentorship & Team Development (20%)

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

4. Stakeholder Communication & Technical Leadership (10%)

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

Required Qualifications

Technical Skills

Frontend (Production Experience)

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

Backend (Production Experience)

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

*Securian Financial Groups internal position title isInfrastructure Consultant.

Position Summary:

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

Responsibilities include but not limited to:

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

Qualifications:

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

Preferred Qualifications:

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

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

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

The estimated base pay range for this job is:

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

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

Paid time off:

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

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

• Holidays: Securian provides nine company paid holidays.

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

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

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

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

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

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

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

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

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

Summary

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

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

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

Responsibilities include but are not limited to:

AI Solution Development & Deployment

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

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

Operational Model Support & Optimization

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

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

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

Data Engineering & Analytical Execution

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

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

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

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

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

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

Required Qualifications

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

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

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

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

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

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

Preferred Qualifications

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

• Experience supporting AI solutions in operational or production environments.

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

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

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

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

The estimated base pay range for this job is:

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

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

Paid time off:

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

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

• Holidays: Securian provides nine company paid holidays.

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

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

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

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

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

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

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

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

To view our privacy statement click here

To view our legal statement click here

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

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

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

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

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

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

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

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