Software Engineer II

Job Title:

Job Description

The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.

In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in today’s hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of Integrated Services.

Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year.

We embrace our game-changers with open arms, people from diverse backgrounds, who are curious and willing to learn. Your natural talent to help others and go beyond WOW for our customers will fit right in with what we do and who we are.

Join us and be part of this journey towards greater opportunities and brighter futures.

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.

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