Principal Software Engineer

The Cigna Group

Principal Engineer at The Cigna Group driving enterprise impact through data products and platform strategy. Leading architecture and mentoring teams in software engineering best practices.

Posted 7/15/2026full-timeBloomfield • Connecticut • 🇺🇸 United StatesLead💰 $149,000 - $248,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading architecture and solution design for scalable data platforms and products, with a strong focus on engineering standards, governance practices, and cross-team collaboration. Proven ability to drive improvements in data quality and operational excellence while mentoring the next generation of technical leaders.

Highest-signal resume keywords

Data Platform ArchitectureCross-Team Initiative LeadershipEngineering Standards EstablishmentAI and Machine Learning ApplicationLarge-Scale Platform Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringDistributed SystemsData GovernanceAPI DesignAnalytics SystemsProblem SolvingData Quality ImprovementTechnical DirectionPrototypingComplex Troubleshooting

Soft Skills

Influencing DecisionsMentoringCollaborationNavigating AmbiguityOrganizational Complexity Management

Tools & Technologies

APIsData ProductsLarge-Scale Data PlatformsAdvanced Analytics TechnologiesLLMsSemantic SearchVector DatabasesAgent FrameworksEnterprise AI Governance

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Data LifecycleOperational ExcellenceEngineering EffectivenessPlatform MaturityCustomer Value

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Lead architecture and solution design for complex data products, platforms, and cross-team initiatives, ensuring scalable, secure, and resilient systems
Act as the senior technical authority for high-impact, ambiguous challenges involving data platforms, analytics, governance, and monetization capabilities
Drive the design and evolution of reusable data products, platform services, APIs, and shared capabilities that can be leveraged across customers and business domains
Establish and champion engineering standards, data contracts, governance practices, observability, and operational excellence across the ecosystem
Contribute directly to critical work, including architecture, prototyping, design reviews, complex troubleshooting, and technical problem solving
Align technical direction across teams to reduce duplication, increase reuse, and strengthen platform consistency and scalability
Partner with engineering, product, operations, and business leaders to align technology investments with strategic business outcomes
Drive improvements in data quality, lineage, traceability, governance, and trust across the data lifecycle
Evaluate technical tradeoffs through the lens of customer value, adoption, scalability, maintainability, and cost efficiency
Operate as a force multiplier by improving engineering effectiveness, platform maturity, and delivery velocity across teams
Represent engineering in cross-functional and executive discussions, influencing decisions that shape product and platform strategy
Mentor senior engineers and help develop the next generation of technical leaders and architects
Support hiring and leveling decisions and contribute to building strong engineering talent and technical culture

Requirements

What you’ll need

10+ years of experience in software engineering, architecture, distributed systems, and large-scale platform development
Proven ability to lead complex, cross-team initiatives and deliver enterprise-scale solutions
Strong problem-solving skills with demonstrated success navigating ambiguity and organizational complexity
Experience designing and operating large-scale data platforms, analytics systems, or customer-facing data products
Demonstrated success establishing engineering standards, governance practices, and technical direction across multiple teams
Experience driving adoption of reusable platforms, services, APIs, or data products
Experience applying AI, machine learning, and advanced analytics technologies to create new business capabilities, improve decision-making, and accelerate data product innovation
Familiarity with modern AI ecosystems, including LLMs, semantic search, vector databases, agent frameworks, and enterprise AI governance practices.
Bachelor's degree in Computer Science or related field

Benefits

Comp & perks

Health insurance
401(k)
Company paid life insurance
Tuition reimbursement
Minimum of 18 days of paid time off per year
Paid holidays
Leaves of absence