Develops expertise in the Pricefx ecosystem, understand platform capabilities and best practices, and contributes to the design and delivery of scalable, maintainable pricing solutions on Pricefx platform.
Some flexibility in daily schedule may be expected, on an as-needed basis, to allow for reasonable working-hour overlap with global colleagues, supporting collaboration across regions including North America and Europe.
Key Responsibilities
Technical Delivery & Architecture
Apply OOP/SOLID principles, design patterns, and data structures & algorithms confidently, and guide juniors on the same - with a focus on code maintainability and readability. Actively contribute to design discussions and code reviews, helping prioritize vulnerability and quality fixes.
Apply secure programming practices and leverage approved frameworks/libraries to build efficient, secure software. Use AI coding assistants confidently for generation, debugging, and refactoring, and guide juniors on responsible usage, output validation, and AI's limitations.
Interpret functional, non-functional, and business requirements across development, testing, and operations; build strong understanding of the team's business domain and enterprise architecture patterns to explain solution trade-offs clearly.
Design and implement features that integrate approved AI services, understanding cost, latency, and model trade-offs; stay open to learning new languages, frameworks, and tools as team needs evolve.
Develop and maintain solutions on the Pricefx SaaS platform using the Pricefx application framework, configuring and extending platform capabilities to meet business requirements.
Complete Pricefx training and successfully obtain the Pricefx Configuration Engineer certification, building expertise in the Pricefx application framework and platform capabilities.
Delivery, Quality & Operations
Manage version control and branching practices, and operate proficiently within the team's project methodology (Scrum, Kanban etc.); support release management planning and scheduling.
Drive code quality - implementing best practices, guiding peers, and participating in reviews - while writing effective unit/integration tests and delivering solutions with minimal production defects. Hold AI-generated code and tests to the same review rigor as human-written work.
Perform root cause analysis independently, resolving issues from straightforward through medium complexity, using approved monitoring tools (e.g., DataDog, CloudWatch).
Contribute comfortably to DevOps and cloud tasks, remediate vulnerabilities using approved security tooling, and integrate cloud services with an understanding of cost, security, and performance trade-offs.
People & Stakeholder Management
Communicate clearly and constructively, verbally and in writing, maintaining transparent two-way communication within the team; actively participate in ceremonies and planning, including accurate task estimation.
Support task planning and mentor junior members - identify teammates who need extra support and communicate with team leadership.
Grow awareness of the business impact of technical decisions; document and share knowledge, recommend learning resources for less experienced engineers, and stay current on industry and AI trends.
Proactively evaluate new technologies, tools, and AI-driven improvement ideas that could benefit the team, discussing outcomes collaboratively.
Participate in technical interviews as needed, assessing candidates' coding and problem-solving skills to help maintain a high engineering bar.
Requirements
Technical Skills
Strong command of OOP/SOLID principles, design patterns, and data structures & algorithms, with practical secure programming knowledge.
Confident use of design patterns/reference architectures with clear articulation of trade-offs.
Comfortable with at least one cloud platform (AWS/GCP/Azure), DevOps/CI-CD fundamentals, and IaC.
Judgment-driven use of AI coding assistants, including validating output and guiding others on safe usage.
Exposure to Groovy programming language and scripting concepts is considered an added advantage.
Leadership & Soft Skills
Strong verbal and written communication, both upward and downward within the team.
Demonstrated mentorship of junior engineers.
Autonomous problem-solving within an assigned domain, without requiring close supervision.
Reliable task estimation and self-management within a defined project methodology.
Experience & Education
Bachelor's degree in Computer Science, Engineering, or related field.
2+ years of professional software engineering experience.
Benefits
Performance-based annual bonus
Performance rewards and recognition
Agile Benefits - special allowances for Health, Wellness & Academic purposes Entertainment allowance
Team engagement allowance
Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws
Hybrid work arrangement
Sysco LABS is an Equal Opportunity Employer.
