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Lead Software Engineer

Truist•2h ago
United StatesOnsiteFull-timeSenior Level5+ yrs exp
H-1B sponsor
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Software EngineerSoftware Engineer Ii
  • The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only
  • other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: The Lead Software Engineer is a senior, hands-on engineering role responsible for designing, building, and operating enterprise platforms that enable software delivery to produce reliable, secure, and compliant outcomes at scale. This role operates with full domain expertise across the software delivery ecosystem and is accountable for implementing systems that embed quality, testing, and control outcomes directly into execution, eliminating reliance on manual processes, approvals, or after the fact validation. This position is explicitly a hands-on keyboard engineering role, not a people management role, with direct responsibility for writing code, building platform capabilities, and integrating systems that enforce delivery behaviors. The Lead Software Engineer defines and implements platform capabilities that standardize, automate, and enforce critical outcomes across the portfolio, enabling order of magnitude improvements in delivery speed, quality, and operational efficiency. The role designs and operationalizes policy driven and agent driven execution models, leveraging policy as code frameworks such as Open Policy Agent (OPA), observability systems, and Generative and Agentic AI capabilities to create intelligent, self-enforcing platforms. These platforms ensure that all applications and pipelines operate within defined guardrails and produce consistent, auditable, and machine-readable evidence as a byproduct of execution. Acting as a technical authority across engineering, product, and control partners, this role drives platform strategy through direct implementation, builds self service capabilities that scale without central intervention, and ensures enterprise platforms deliver exponential impact without increasing operational friction. The outcome is a system where correct behavior is enforced by design, enabling delivery teams to move faster while maintaining reliability, transparency, and compliance. *****For this opportunity: Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)****** *****Position has in office expectations 5 days per week. Role is NOT remote.*** To be located in our Charlotte, NC, Greensboro, NC or Raleigh, NC offices.***** Lead Software Engineer, Expected Outcomes: 1. SDLC control system enforces by default
  • All onboarded applications execute within a platform enforced system where quality, testing, and compliance outcomes are produced automatically
  • Manual validation, approval gates, and evidence collection are eliminated or materially reduced
  • Non-compliant execution is prevented or automatically remediated through policy enforcement 2. Evidence is generated automatically and audit ready
  • All testing, control validation, and pipeline activity produces structured, immutable, machine-readable evidence
  • Evidence is audit ready at creation with no manual reconciliation or post processing
  • Full traceability exists from code change to execution to control validation to produced evidence 3. Policy as code is embedded and enforceable at scale
  • Enterprise policies are implemented as code and executed directly within the platform
  • Policy decisions are consistent and deterministic across all pipelines
  • Violations trigger automated enforcement actions, not advisory signals 4. Self-service platform drives scaled adoption and acceleration
  • Teams onboard and execute through fully self-service mechanisms with no ticket gating
  • Platform guardrails enforce correct behavior independent of team maturity
  • Delivery speed, cycle time, and validation throughput improve materially through automation and removal of human bottlenecks 5. Platform operates as an intelligent, integrated system
  • CI/CD, testing, security, and compliance capabilities operate as a single cohesive platform with standardized execution patterns
  • Observability provides real time visibility into execution, failures, and control violations with immediate action
  • Human effort is reserved for exception handling and risk decisions, all repetitive execution is automated or AI assisted ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor
  • are not mentioned below. Specific activities may change from time to time. 1. Implements software architecture and engineering approaches for complex, high impact initiatives that support strategic goals set by executives and senior leadership
  • establishes technical plans for the area of responsibility. 2. Adopts, refines
  • promotes advanced software engineering standards, practices
  • governance mechanisms within the domain, enabling multiple teams to improve quality, reliability
  • delivery outcomes. 3. Partners with senior technology leadership, product
  • architecture teams to shape technology strategy for the domain, providing deep technical insight and proposing solution patterns that influence roadmaps and priorities. 4. Leads the end-to-end technical design and implementation of scalable, secure
  • highly available software solutions, delivering reference implementations that inform new products and platforms. 5. Resolves complex technical issues in the area of responsibility, designing innovative architectures and performance, reliability
  • scalability improvements that advance business objectives. 6. Provides technical leadership, guidance, coaching
  • training to engineers across teams, raising the technical bar through reviews, design sessions
  • knowledge sharing activities. 7. Evaluates emerging technologies and research relevant to the domain, building prototypes and solution concepts that provide measurable input into new products, features
  • capabilities. 8. Contributes directly to long-term technical plans for the area of responsibility through well reasoned recommendations, design proposals
  • implementation experience. 9. Leads large, complex projects and processes, coordinating technical work across multiple teams to ensure cohesive, high-quality outcomes. 10. Works independently with substantial autonomy, demonstrating technical innovation while balancing risk
  • making engineering decisions that meaningfully impact results for the division. Qualifications Required Qualifications The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor’s degree in Computer Science, Software Engineering
  • related field. 2. Minimum of 10 years of professional experience in software development. 3. Deep knowledge of multiple programming languages, software architecture
  • design principles. 4. Deep understanding of software development lifecycle, testing, deployment
  • security practices. Preferred Qualifications 1. Deep platform engineering experience designing, building
  • operating large scale enterprise platforms that span software delivery, testing, compliance
  • control systems across diverse application portfolios 2. Expertise across the full software delivery lifecycle including infrastructure as code, source control, build orchestration, artifact management, automated testing, security scanning
  • deployment strategies 3. Proven ability to write production grade code and directly implement platform capabilities, integrations
  • automation systems, not just design or oversee them 4. Demonstrated experience implementing policy as code frameworks, including Open Policy Agent (OPA), to enforce reliability, security
  • compliance requirements at scale 5. Experience designing systems that produce structured, immutable
  • audit ready evidence as a direct output of execution rather than manual collection or post processing 6. Strong experience with automation first architecture, eliminating manual testing, validation
  • approval patterns in favor of system enforced outcomes 7. Deep knowledge of observability and telemetry practices, including logging, monitoring, tracing
  • performance validation, enabling real time enforcement, traceability
  • system level visibility 8. Demonstrated experience applying Generative AI and Agentic AI patterns to software delivery systems, including intelligent automation, autonomous execution
  • decision augmentation 9. Ability to design and scale agent driven and policy driven execution models that materially reduce human intervention and accelerate delivery 10. Experience building platforms that enable order of magnitude improvements (10x to 100x) in delivery speed, quality
  • operational efficiency across large enterprise portfolios 11. Ability to define and enforce platform guardrails and standards that are consumable through self-service onboarding and require minimal centralized support 12. Experience evaluating, selecting
  • integrating enterprise tooling ecosystems to ensure interoperability, consistency
  • scalability across platforms 13. Demonstrated ability to operate as a technical authority across complex, cross functional systems, influencing engineering and product direction through direct implementation and system design 14. Experience designing and operating platforms that support autonomous or semi-autonomous delivery workflows, reducing dependency on manual orchestration and human decision points 15. Strong understanding of secure and compliant system design principles, with the ability to embed enforcement directly into platform execution rather than relying on downstream controls General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts
  • a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated)
  • paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site . Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position
  • division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status
  • other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

Required skills

software engineeringpolicy as codeCI/CDobservabilityautomationGenerative AIOpen Policy Agent
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