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Job Title:
Software Engineer IIJob Description
We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.Duties and Responsibilities
• Develop and support application, procedures and functions
• Create and monitor batch jobs utilizing a job scheduler
• Analyze, troubleshoot and provide solutions
• Interface with stakeholders to obtain a full understanding of the project requirements in order to recommend the appropriate technology to accomplish requirements
• Provide project timeline estimates
• Monitor actual deliverable deadlines against scheduled completion dates
• Participate in all phases of Software Development Lifecycle
• Support both client and department programming standards
• Perform unit testing of all applications developed and/or enhancements to systems
• Work with Quality Assurance team to ensure quality of work produced
• Mentor other team members
• Monitor application efficiencies to identify means of enhancing performance
• Ability to be self-directed, able to focus on personal assignments while remaining part of a larger team with proven ability to multi-task.
• Complete all assigned, mandatory training within the timeframe provided
• Conduct and/or participate in regularly scheduled 1:1 meetings with direct manager and/or direct reports.
Qualifications
• SQL Server experience
• Possess ability to develop complex database queries using SQL
• Working knowledge of source code management tool and job scheduler
• Strong business analysis skills with proven experience in proposing and developing solutions
• Strong systems analysis experience
• Comfortable with maintenance of existing code base as well as new development
• Well organized with proven success in managing assignments (supporting end users) to timely completion
• Strong business Acumen
• AI-native engineer: Demonstrated expert-level, daily use of AI assistants (e.g., Gemini, Claude, ChatGPT, Copilot or equivalent) to accelerate delivery across the SDLC (design, implementation, testing, debugging, documentation, and operations).
• Own the outcome: Uses AI to increase speed and quality, but remains fully accountable for correctness, security, maintainability, and production readiness.
• Validation discipline: Can verify AI outputs (tests, code review rigor, threat/security checks, performance considerations) and explain why a solution is correct—not just that the tool suggested it.
• Practical workflows: Experienced applying AI to real engineering work such as: refactoring, test generation, CI/CD automation, log/trace analysis, incident triage, runbooks, and writing clear technical docs/ADRs.
• Secure and responsible use: Understands safe AI usage (no sensitive data leakage, compliant handling of customer/company information, proper IP awareness, follows enterprise guardrails).
• Force multiplier mindset: Proactively shares patterns and best practices; senior engineers are expected to coach/mentor others on effective AI-assisted engineering.
Location:
PHL Laguna Work-at-HomeLanguage Requirements:
Time Type:
Full time