Information Technology Jobs in Everett Massachusetts Remote

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

General Summary of Position:

We are seeking a highly skilled and motivated Software Engineer II with experience in full-stack development, specifically with proficiency in TypeScript, React, CI/CD, Kafka, and application scaling. The ideal candidate will have a strong understanding of software development best practices and experience building scalable, high-performance applications.

Duties and Responsibilities:

• 
  
• Design, develop, and maintain software applications using various programming languages and frameworks
  
• Collaborate with cross-functional teams to understand software requirements and design solutions
  
• Write clean, maintainable, and efficient code that is scalable and follows best practices
  
• Participate in code reviews and ensure that all solutions are aligned with specifications
  
• Debug and troubleshoot software issues and implement fixes
  
• Implement and maintain CI/CD pipelines to ensure code quality and rapid deployment
  
• Monitor and optimize application performance to ensure optimal scalability
  
• Continuously learn and stay up-to-date with emerging technologies and programming languages
  
• Participate in the design and implementation of software architecture and design patterns
  
• Ensure that all software solutions are secure and adhere to security best practices
  
• Collaborate with other team members to improve software development processes and tools
  
• Communicate with stakeholders and other team members to provide status updates and gather feedback
  
• Participate in agile development methodologies and contribute to sprint planning and retrospectives
  
• Work with customers, vendors, and other stakeholders to gather requirements and provide technical expertise
  
• Document and maintain software documentation, including user manuals and technical documentation.
  

Required Qualifications:

• 
  
• 1-3+ years' experience and knowledge of at least one programming language (e.g. Python, C++, C#, JavaScript, etc.)
  
• Bachelor's or higher degree in computer science or related field preferred (or equivalent experience)
  
• Experience with software development methodologies (e.g. Agile, Scrum, etc.)
  
• Experience with version control systems (e.g. Git)
  
• Strong understanding of data structures and algorithms
  
• Familiarity with databases and SQL
  
• Strong problem-solving and analytical skills
  
• Experience with testing and debugging
  
• Good communication and teamwork skills
  
• Ability to learn and adapt to new technologies and programming languages
  
• Experience with operating systems (specificallty Linux or MacOS)
  
• Experience with software design and architecture
  
• Understanding of software development best practices and design patterns
  
• Experience with cloud platforms (e.g. AWS, Azure, Google Cloud)
  
• Experience with CI/CD
  
• Experience with React
  
• Knowledge of microservices and containerization technologies like Docker, Kubernetes.
  
• Experience with data storage and management technologies like SQL and NoSQL
  
• Experience with security best practices and technologies
  
• Experience with or understanding of distributed systems and scalability
  
• Understanding of performance optimization techniques
  
• Understanding of accessibility and internationalization best practices.
  

#LI-SR1

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

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

Location: CHA Somerville Campus 
Work Days: 8-hour shifts, varied days, no weekends/holidays 
Category: Registered Nurse
Department: CHA Obstetrics & Gynecology Center Somerville  
Job Type: PT20Plus HPW  
Work Shift: Day / Evening 
Hours/Week: 24.00 
Union Name: MNA Somerville

Cambridge Health Alliance (CHA) is a vibrant, mission-driven health system committed to providing high-quality, culturally responsive care to the communities across Cambridge, Somerville, and Boston’s metro-north region. Our Obstetrics & Gynecology (OB/GYN) Center is a cornerstone of this mission, offering comprehensive, patient-centered reproductive health care in a collaborative, multidisciplinary environment. 

At CHA OB/GYN, our dynamic interdisciplinary team of board-certified OB/GYN physicians, certified nurse midwives, advanced practice providers, and dedicated support staff work together to deliver compassionate and personalized obstetric and gynecological services to our richly diverse patient population. With our dedication to health equity and reproductive justice, we offer a unique and rewarding opportunity to make a meaningful impact in the lives of our patients and communities. 

The OB/GYN Registered Nurse provides high-quality patient care in accordance with the established standards of nursing practice at Cambridge Health Alliance. This role requires strong clinical knowledge, initiative, and evidence-based nursing skills to care for patients with diverse and complex needs. 

The RN is responsible for the assessment, planning, implementation, and evaluation of nursing care, collaborating with an interdisciplinary care team to deliver safe, patient-centered, and culturally responsive care.

Patient-Centered Care

• Provide compassionate, respectful, and culturally responsive care to patients and families throughout the perinatal experience

• Demonstrate empathy, emotional intelligence, and strong interpersonal skills in all patient interactions

• Advocate for patient values, preferences, and needs while supporting informed decision-making

• Develop meaningful patient relationships and deliver individualized care plans

Clinical Practice & Judgment

• Perform comprehensive patient assessments and interpret clinical data to guide care decisions

• Identify changes in patient conditions and respond promptly and appropriately

• Prioritize care needs and implement evidence-based nursing interventions

• Utilize clinical technologies and electronic medical records (EPIC) to support patient care and documentation

Collaboration & Teamwork

• Work closely with physicians, midwives, and interdisciplinary team members to coordinate patient care

• Participate in multidisciplinary rounds, team meetings, and care planning discussions

• Seek diverse perspectives and resources to support optimal patient outcomes

Quality Improvement & Evidence-Based Practice

• Follow evidence-based standards and clinical guidelines

• Participate in quality improvement initiatives and identify opportunities to enhance care delivery

• Use data and research to inform clinical practice and improve patient outcomes

Education & Facilitation of Learning

• Provide meaningful education to patients and families using effective teaching strategies such as teach-back and motivational interviewing

• Support colleagues, students, and ancillary staff as a role model and clinical resource

• Participate in ongoing professional development and learning opportunities

Leadership & Professionalism

• Contribute to initiatives that improve patient care, work environment, and team effectiveness

• Participate in process improvement and policy development

• Demonstrate accountability, ethical practice, and professional integrity

• Promote collaboration and positive team relationships across departments

Patient Safety & Compliance

• Adhere to National Patient Safety Goals and established safety protocols

• Follow regulatory and documentation standards including DPH, TJC, DMH, and Medicare requirements

• Ensure safe medication administration and accurate clinical documentation

• Utilize available technologies and systems to support safe and effective patient care

• Education: A graduate of an accredited school of nursing; BSN preferred

• Licensure: Current or conditional Massachusetts RN Licensure required

• Certifications: Maintains current American Heart Association BLS Provider certification 

Please note that the final offer may vary within the listed Pay Range, based on a candidate's experience, skills, qualifications, and internal equity considerations.

In keeping with federal, state and local laws, Cambridge Health Alliance (CHA) policy forbids employees and associates to discriminate against anyone based on race, religion, color, gender, age, marital status, national origin, sexual orientation, gender identity, veteran status, disability or any other characteristic protected by law. We are committed to establishing and maintaining a workplace free of discrimination. We are fully committed to equal employment opportunity. We will not tolerate unlawful discrimination in the recruitment, hiring, termination, promotion, salary treatment or any other condition of employment or career development. Furthermore, we will not tolerate the use of discriminatory slurs, or other remarks, jokes or conduct, that in the judgment of CHA, encourage or permit an offensive or hostile work environment. 

Cambridge Health Alliance brings Care to the People - including your neighbors, friends and family. Our local hospitals and care centers serve our vibrant, diverse communities, and play an integral role in improving health. As passionate advocates for the underserved, we actively partner with our communities to take on challenging public health issues, and conduct important research to help reduce barriers to care. We believe that everyone deserves access to high quality, convenient health care. This is why our employees believe in where they work and why many build long, rewarding careers at CHA.

Healthcare is changing rapidly. CHA has a strategic plan that charts a proactive course for our future. It is built on a vision of equity and excellence for everyone, every time. It also recognizes that our workforce is our most valuable asset and prioritizes competitive salaries, benefits and professional development opportunities for employees. The strategic plan is changing the way we provide care and improving the health and experience of our patients; we are looking for smart, committed, compassionate people who want to be part of making our vision of better health and equity a reality.

At CHA, you can believe in where you work and go home every day knowing you made a difference. Join our team and help us bring Care to the People.

The Opportunity

The Head of Enterprise Productivity & Collaboration Tools is a senior leader responsible for the strategic direction, integration, and optimization of MassMutual’s core collaboration and productivity platforms—including ServiceNow, Microsoft 365, Slack, Zoom, Teams, and Atlassian—with a strong focus on AI enablement and automation. This role will drive the adoption of AI-powered capabilities across platforms to enhance employee experience, operational efficiency, and business agility.

The Team

You will lead a multi-disciplinary global team, including senior managers and specialized platform experts. The team is collaborative, agile, and focused on innovation and accountability. You will foster a high-performance, inclusive culture and develop talent strategies to build AI fluency and platform expertise across the organization.

The Impact:

• Develop and execute a 1–3+ year strategic roadmap for enterprise enablement platforms with a focus on AI integration, automation, and intelligent workflows
• Partner with Enterprise Architecture and Research & Development teams to embed AI capabilities into platform services (e.g., virtual agents, intelligent routing, predictive analytics)
• Lead platform modernization efforts, ensuring alignment with digital transformation and AI-first strategies
• Promote a culture of innovation by enabling employees to contribute ideas and participate in proof-of-concept initiatives
• Oversee platform governance, performance, and lifecycle management across enterprise platforms including ServiceNow, Microsoft, Slack, Zoom, Teams, and Atlassian
• Define and monitor KPIs, SLAs, and AI-driven metrics to ensure platform reliability, adoption, and value realization
• Optimize licensing, usage, and cost efficiency through data-driven insights and automation
• Serve as a strategic advisor to senior leadership on platform and AI enablement opportunities
• Collaborate with business, IT, security, and compliance stakeholders to ensure alignment and adoption
• Lead change management efforts to drive user engagement and maximize ROI from platform investments
• Manage, coach, and motivate a global team while building a strong, diverse talent pipeline
• Manage vendor relationships and external partnerships
• Execute operational strategy with latitude in day-to-day decision-making
• Implement short- to medium-term strategies (1–3 years); contribute to broader strategic planning
• Manage teams performing multiple functions/disciplines, including exempt and non-exempt employees

The Minimum Qualifications

• Bachelor’s degree in Technology, Business, or related field
• 10+ years of experience in enterprise technology, with 5+ years in senior leadership roles
• Proven track record in managing and scaling enterprise platforms (ServiceNow, Microsoft Copilot, Slack, Zoom, Teams, Atlassian)
• Deep understanding of AI technologies and their application in enterprise environments
• Experience leading platform modernization and AI transformation initiatives
• Strong financial acumen with experience managing large-scale budgets
• Exceptional communication, stakeholder management, and strategic planning skills
• Authorized to work in the U.S.

The Ideal Qualifications

• Experience with AI/ML platforms (e.g., Azure AI, OpenAI, ServiceNow AI, Microsoft Copilot)
• Familiarity with agile, DevOps, and product management methodologies
• MBA or advanced degree in a relevant field
• Excellent facilitation, collaboration, and change management skills
• Strong financial acumen and data-driven decision-making
• Ability to work across all organizational levels and in complex environments
• Global travel flexibility and self-driven work ethic
• Excellent written and communication skills
• Ability to multitask, solve problems resourcefully, and work well under pressure
• Experience with strategic planning, business development, or stakeholder management

#LI-MC1

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#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

*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

• Collaborate with Product Owners and stakeholders to gather, analyze, and translate business requirements into clear user stories and technical requirements
• Manage and maintain the Azure DevOps (ADO) backlog, including story prioritization and grooming
• Lead User Acceptance Testing (UAT) including test planning, execution oversight, and issue tracking
• Provide sprint summaries and milestone updates to business and technical stakeholders
• Coordinate with business users to manage testing, feedback cycles, and feature rollouts

• Facilitate Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives
• Remove blockers and support the team to maintain delivery momentum
• Monitor team velocity, sprint health, and workflow improvements
• Promote Agile best practices and foster a collaborative team environment
• Support the Product Owner with sprint goals and stakeholder alignment

• 5–8 years of experience in Business Analyst and Scrum Master roles within digital or website environments
• Strong experience with enterprise websites and digital marketing platforms
• Hands-on expertise with Adobe Experience Manager (AEM) is required
• Experience with Adobe Customer Journey Analytics, Adobe Launch, or Adobe Target is a plus
• Knowledge of UX best practices, SEO fundamentals, QA/testing workflows, and digital analytics
• Strong understanding of Agile/Scrum methodologies
• Experience using Azure DevOps or similar backlog management tools
• Ability to write clear user stories and define acceptance criteria
• Excellent communication and stakeholder collaboration skills
• Agile certification (CSM, PSM, etc.) preferred

• Health, vision, and dental insurance (single and family coverage)
• 401(k) plan (employee contributions only)

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