Sr Software EngineerThe Senior Software Engineer is responsible for designing, developing, and maintaining scalable, secure, and high-performing software systems. This role works cross-functionally with Product, Architecture, and Engineering teams to deliver business value through high-quality, reliable software.This is a hands-on role focused on building production-ready solutions, while contributing to technical direction, mentoring engineers, and leveraging modern tools—including AI and spec-driven development—to improve engineering productivity and outcomes.Key Responsibilities:Software Development & DesignDesign, develop, test, and deploy software across the full technology stackTranslate business and functional requirements into clear, well-defined technical specificationsEnsure systems are scalable, resilient, maintainable, and secureApply modern engineering standards and best practicesDelivery & ExecutionBreak down specs and features into clear, actionable, and estimable tasksDeliver incremental value using Agile methodologiesOwn end-to-end delivery of features or servicesAlign development with architectural standards and system designQuality & ReliabilityWrite and maintain automated unit, integration, and end-to-end testsEnsure code quality, performance, and adherence to specificationsTroubleshoot and resolve production issuesIdentify risks, dependencies, and deviations earlyAI-Transformed EngineeringLeverage AI-assisted tools (e.g., Copilot, LLM-based tools) to improve productivity and code qualityUse AI for code generation, test creation, debugging, and documentationValidate and refine AI-generated outputs for correctness, security, and maintainabilityContribute to team practices around AI usage and prompt engineeringSpec-Driven DevelopmentDrive spec-driven development, where features are defined through clear, structured specifications before implementationCreate and refine technical specs (APIs, contracts, workflows, data models) that serve as the source of truth for developmentUse specifications to enable alignment across engineering, product, and QALeverage specs to support automation, testing, and AI-assisted development workflowsEnsure implementations are traceable back to specifications and meet defined acceptance criteriaCollaborationPartner with Product, QA, and Architecture teams to deliver solutionsParticipate in design discussions and technical decision-makingCommunicate progress, trade-offs, and blockers clearlyTechnical Leadership & GrowthContribute to coding standards and engineering best practicesMentor junior engineers through code reviews and guidanceContinuously learn and adopt new technologies, including AI-driven techniquesSpec-Driven + AI RequirementsExperience working in spec-driven or contract-first development environmentsAbility to define clear technical specifications (e.g., API contracts, schemas, workflows)Experience using AI-assisted development tools effectivelyAbility to validate, refine, and safely adopt AI-generated outputsUnderstanding of responsible AI usage in software developmentRequired QualificationsApplicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.Bachelor's degree Computer Science or a related discipline and 4+ years of experience in a related field, OR master's degree and 2+ years of experience, OR Ph.D. and up to 1 year of experience, OR 18+ years of directly relevant experience.Strong proficiency in at least one programming language (e.g., Java, Python,.NET)Experience with cloud platforms (e.g., AWS) and distributed systemsSolid understanding of system design, APIs, and data modelsExperience with automated testing and CI/CD practicesIn Office 3 days a week required.Preferred QualificationsExperience building large-scale or mission-critical systemsFamiliarity with microservices and event-driven architecturesExperience integrating AI capabilities into applications (e.g., LLM APIs, search, recommendations)Experience improving engineering workflows through automation or AIStrong debugging and performance tuning skills
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