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Lead Software Engineer

Job in Greensboro, Guilford County, North Carolina, 27497, USA
Listing for: Lincoln Financial Group
Full Time position
Listed on 2026-10-27
Job specializations:
  • Software Development
    AWS, Backend Developer, DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 120000 - 193000 USD Yearly USD 120000.00 193000.00 YEAR
Job Description & How to Apply Below
What you'll be doing
  • Lead the design, development, and delivery of AWS cloud-native and serverless applications using AWS Lambda, API Gateway, DynamoDB, Event Bridge, SQS, SNS, and Step Functions.
  • Design and implement RESTful APIs, microservices, and event-driven architectures supporting enterprise integrations.
  • Provide hands‑on development using Java, Node.js, and Python, including code reviews, troubleshooting, performance optimization, and production support.
  • Design and manage infrastructure as code using AWS CDK and Cloud Formation.
  • Build and maintain secure CI/CD pipelines using Git Lab, including automated testing, security scanning, and deployment automation.
  • Implement asynchronous processing, retry mechanisms, dead‑letter queues, idempotency, and resilient integration patterns.
  • Collaborate with Security and Identity teams on OAuth 2.0, mutual TLS (mTLS), IAM, Secrets Manager, and secure API integrations.
  • Drive application observability and production troubleshooting using Cloud Watch, Splunk, and New Relic.
  • Lead technical design discussions, architecture reviews, estimation, and implementation planning across distributed Agile teams.
  • Identify opportunities to modernize legacy applications, reduce technical debt, improve system reliability, and optimize AWS costs.
  • Promote engineering excellence through secure coding, automated testing, peer reviews, and responsible adoption of AI‑assisted development tools.
  • Assess emerging technology trends and advise senior management on their potential impact, particularly in AWS, microservices, cloud architecture, and artificial intelligence.
  • Identify and lead process improvements that reduce defects, shorten code turnaround time, strengthen pipelines, improve cost and performance, and enhance application security.
  • Provide business and technical subject matter expertise to team members and internal and external stakeholders on complex assignments and initiatives.
  • Lead technical response and solution coordination for production issues; support resolution estimation, root‑cause analysis, remediation, and service restoration.
  • Direct and enhance organizational initiatives by positively influencing and supporting change management and/or departmental/enterprise initiatives within assigned area(s) of responsibility including but not limited to transition to AIDLC, enterprise cloud migration, etc. that support IT partners in delivering applications that increase adoption of self‑service capabilities.
What we’re looking for

Must-haves:

  • 5+ years of experience designing, developing, and supporting enterprise applications.
  • 2+ years of experience providing technical leadership to distributed Agile development teams.
  • Strong hands‑on experience with AWS serverless services, including Lambda, API Gateway, DynamoDB, Event Bridge, and SQS.
  • Proficiency in one or more backend technologies, including Java, Node.js, or Python.
  • Experience designing RESTful APIs, microservices, event‑driven integrations, and distributed systems.
  • Hands‑on experience with infrastructure as code, preferably AWS CDK or Cloud Formation.
  • Experience developing and maintaining Git Lab CI/CD pipelines, automated testing, and secure deployment processes.
  • Understanding of cloud security, IAM, OAuth 2.0, API authentication, and secure integration patterns.
  • Experience with application monitoring, troubleshooting, performance optimization, and production support.
  • Demonstrated ability to apply generative AI responsibly within the software development lifecycle, including validating AI‑generated outputs, protecting confidential information, following secure coding practices, and complying with enterprise AI governance and intellectual property requirements.
  • Hands‑on experience using AI‑assisted software development tools…
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