Mobile Engineering Lead at Auror tackling theft and crime via technology. Leading a specialized mobile team with a focus on clarity, collaboration, and strategic delivery.
About the role
- Lead/Principal Software Engineer delivering scalable integration solutions at Salesforce. Collaborating with cross-functional teams and guiding engineering practices in a dynamic tech environment
Responsibilities
- Lead the design and development of core integration capabilities and scalable connectivity solutions across MuleSoft, Salesforce, and Agentforce
- Collaborate with cross-functional teams to define requirements and translate them into technical solutions
- Set technical direction and help shape long-term strategy and team growth
- Drive innovation through new ideas, improved processes, and bold experimentation
- Provide technical leadership and mentorship to engineering teams, promoting best practices in coding, design, and architecture
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 6+ years of experience building and operating production-grade software systems
- Strong proficiency in Java and Spring Boot, or in comparable languages and frameworks for building scalable backend systems
- Hands-on experience designing and building APIs, asynchronous workflows, and event-driven systems
- Experience working with large codebases and influencing design decisions across teams
- Ability to think holistically about architecture, performance, and operational stability
- Strong troubleshooting skills with the ability to triage complex issues and identify opportunities to improve product quality and reliability
- Ability to communicate complex ideas clearly and work effectively with engineers, designers, and product teams
- Bonus points: Hands-on experience with MuleSoft platform (Anypoint Studio, Mule Runtime, Anypoint Connectors), Expertise in Salesforce platform, including Apex, Lightning Components, and Salesforce APIs, Solid experience with system performance tuning, memory management, and optimizing resource usage in distributed environments, Familiarity with container runtimes such as Docker and orchestration tools like Kubernetes, Familiarity with large language models (LLMs), RAG architecture, and integration of AI into developer workflows.
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
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