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Staff Software Engineer – Backend, Frontend
Syngenta Group. Establish and enforce technical direction and architectural decisions for analytics, insights, prediction services, and product integrations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in software engineering with a focus on system architecture, technical leadership, and hands-on coding in Python or Java. Proven ability to mentor engineering talent and manage complex technical projects while ensuring adherence to engineering quality standards.
Highest-signal resume keywords
Expert-Level Backend Engineering Skills In Python Or JavaAdvanced Technical LeadershipPerformance Optimization And Scalability AnalysisSystem Architecture CapabilityExperience With Incident Response And Post-Mortem Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringSystem DesignCoding ProficiencyTechnical InvestigationPerformance OptimizationScalability AnalysisSystem Reliability EngineeringAPI DesignDocument Ingestion PipelinesAI Coding Tools
Soft Skills
Mentoring Engineering TalentCommunication Of Technical Trade-OffsCollaboration With Stakeholders
Tools & Technologies
PythonJavaReactAngularAI-Assisted Engineering
Industry Keywords
AnalyticsMachine LearningPrediction ServicesTechnical GovernanceArchitectural Review Processes
Tech Stack
Tools & technologiesAngularDistributed SystemsJavaPythonReact
About the role
Key responsibilities & impact- Establish and enforce technical direction and architectural decisions for analytics, insights, prediction services, and product integrations
- Develop, review, prototype, and investigate complex technical problems
- Establish and maintain engineering quality standards, testing protocols, documentation, and code review practices
- Collaborate with Product Managers, engineers, and stakeholders to define priorities, constraints, and technical risks
- Provide technical leadership across relevant teams
- Contribute to cross-functional engineering standards and disseminate proven technical patterns
- Participate in technical discussions and governance processes
- Drive resolution of critical technical challenges
- Direct performance optimization, scalability improvements, and reliability enhancements across backend and frontend services
- Mentor junior and mid-level engineers
- Assess emerging technologies and frameworks for analytics and AI-assisted engineering
- Lead incident response and post-mortem processes
- Own the Knowledge Management area, including technology selection, integration patterns, data access architecture, API design, and AI-assisted document ingestion and retrieval systems
- Perform hands-on engineering for 50–60% of the role, coding and reviewing in Python or Java
- Define and enforce engineering quality standards for the area
- Align technical standards across engineering groups
- Serve as primary technical counterpart to Product Management
- Translate roadmap priorities into technical delivery estimates and surface technical risks
- Engage with regulatory specialists as required
Requirements
What you’ll need- Demonstrated expertise in software engineering with proven success building and operating production systems at scale
- Mastery of system design and ability to evaluate technical trade-offs and assume accountability for architectural decisions in production environments
- Hands-on proficiency in coding, code review, prototyping, and technical investigation
- Expert-level backend engineering skills in Python or Java
- Architecture-level understanding of data access patterns, API design, document ingestion pipelines, and text embedding model integration
- Expert-level system architecture capability
- Advanced technical leadership without requiring formal line authority
- Proficiency in both backend and frontend technologies, with documented depth in at least one domain
- Working knowledge of React or Angular
- Extensive experience with performance optimization, scalability analysis, and system reliability engineering across distributed systems
- Proven track record mentoring and developing engineering talent at multiple career levels
- Demonstrated success managing complex technical projects to completion
- Experience with incident response, post-mortem analysis, and continuous improvement methodologies
- Participation in or leadership of technical governance, standards-setting, and architectural review processes across multiple teams
- Expert practice using AI coding tools as a primary workflow and ability to critically evaluate AI-generated code
- Commitment to test coverage, merge-gate rules, agent-consumable interfaces, and documentation-as-code standards
- Ability to communicate technical trade-offs clearly to regulatory specialists and product teams
- Ability to learn domain requirements and establish credibility with stakeholders
- Experience with software supporting analytics, machine learning, prediction services, or integrations
- Full-time availability
Benefits
Comp & perks- Generous pension scheme
- Bonus scheme
- Private medical insurance
- Life insurance
- Up to 31.5 days annual holiday
- Flexible working
- Learning culture
- Wide range of training options