Information Technology Jobs in Wakefield Remote

Business Systems Analyst – Investment Management Technology (ETX)

(Hybrid, Boston)

Do you want to be part of a team that encourages your growth, supports your ambitions and makes it a priority for you to reach your goals? Is helping people part of who you are? MassMutual assists millions in achieving financial freedom, providing protection and future planning. We do this by building trust with our customers by being knowledgeable problem solvers and prioritize their needs above all else. We Live Mutual.

The Opportunity

This position is required to provide subject matter expertise for BlackRock Aladdin Accounting Platform and related applications.

Recognized as subject matter expert in business analysis field. Has responsibility for instructing, directing, and checking the work of other Business Analysts. Formulate and define business and/or systems scope and objectives based on both user needs and a thorough understanding of industry requirements. Devise or modify procedures to solve highly complex problems considering limitations, operating time, and form of desired results. Provide analysis of business and user needs, documentation of requirements, and translation into proper business and/or system requirements. Consider the business implications of the application of technology to the current and future business environment. Act as a team leader for complex projects.

The Team

You will be joining MassMutual's Investment Management Technology team. Our mission is to build reliable automation solutions for the Investment Operations business team. You will be part of a team that is technical, highly motivated and excels at working in a fast paced and always evolving environment with agility and resilience.

The Impact:

The Business Systems Analyst is responsible for the analysis, design, and testing of complex applications and system integration processes supporting MassMutual's Investment Management Unit. This role supports strategic investment initiatives within these areas and ensures recommended solutions are aligned with business and MassMutual IT strategies while adhering to relevant technology standards.

This role leverages problem solving and analytical skills to design technical solutions related to data management and system integration challenges and contributes to troubleshooting efforts across multiple functional areas including General Investment Accounts, Separate Investment Accounts, Securities & various technology platforms supporting Investments.

This is a critical role in maintaining the cohesion between the business stakeholders and the technology delivery teams. It requires a deep and broad technology background conducive to that found in a "master application developer" but this is not a development position but will participate and guide technology decisions and best practices. It also requires a strong work ethic, the ability to work independently or in collaboration, exceptional communication skills, and knowledge of, or the aptitude to learn the investment management data domain.

• Perform analysis of business process, procedures, data and rules
• Experience with data-centric architectures, multi-dimensional time series, and techniques to guarantee robust data integrity
• Demonstrated ability to identify and understand critical business features that drive value, and translate those into solid technical solutions
• Excellent written and oral communication skills, ability to effectively and confidently interact with business and technical personnel, at all levels in the organization
• Proven technical leadership and mentoring skills
• Strong knowledge of the investment accounting across multiple asset classes, public and private, including derivatives
• Candidates must combine an attention to detail with the ability to see the big picture
• Demonstrated ability to communicate effectively using verbal and written methods to all levels of an organization
• Proficient with standard documentation tools (Lucid Chart, Excel, Word)
• Capable of applying knowledge to handle all but the most complex problems independently
• Drives continuous improvement and efficiencies beyond own scope of responsibility

The Minimum Qualifications

• Bachelor's degree
• 8 + years of experience with designing and implementing complex solutions
• 5+ years of investment data experience with an understanding of systems and data management.
• 3+ years of experience with BlackRock Aladdin ABOR/IBOR
• 5+ years of experience with investment management systems (from front office to middle office, to back office)
• 5+ years of data analysis experience working with large data sets and multiple sources of data.

The Ideal Qualifications

Technical Skills

• Expert user of excel and proficient with SQL/Oracle query tools
• Experience with platforms like BlackRock Aladdin OMS is highly preferred
• Experiene with BalckRock Aladdin ABOR implementaion is preferred
• Ability to apply technical and business knowledge across multiple business functions
• Ability to work in close collaboration with project/program managers, architects, developers, and testers to optimize the quality of the developed product
• Skilled in interacting between internal business partners, internal IT teams, and offshore partners
• Ability to effectively estimate time to complete design and development tasks
• Influence design & architecture inclusive of technical (non-functional) requirements
• Ability to communicate clearly and to simplify complex topics for a wide range of audiences (both written and verbal)
• Ability to work through complex issues, identify themes, and develop solutions, in time-critical situations.
• Ability to develop a strong understanding of business processes and functional requirements and skill to be able to translate business requirements into succinct functional / technical specifications, experience writing ETL requirements, and providing close oversight of specifications
• Ability to quickly learn new technologies and platforms
• Ability to adhere to project schedules and meet deadlines in the execution of job responsibilities

Soft Skills

• Self-managed and motivated individual with strong leadership skills.
• Excellent written, oral and presentation skills.
• Works with minimal oversight and proactively communicates status and risks to project leadership.
• Ability to work well in a team environment.

#LI-RK1

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

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.

*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