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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, developing, and operating scalable software systems, particularly in the context of Enterprise AI products. Proficient in collaborating with cross-functional teams and leading technical projects while maintaining high standards of quality and reliability.
Highest-signal resume keywords
Software Engineering ExperienceProficiency In Python, Java, Go, Or C++Experience With Distributed SystemsAI Or Machine Learning Product DevelopmentCloud Infrastructure And Data Platforms
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 Development LifecycleAutomated TestingCode ReviewsTechnical DesignTroubleshootingObservabilityScalable Software SystemsDistributed SystemsAI TechnologiesMachine Learning
Soft Skills
Clear CommunicationCollaborationOwnershipMentoringProblem-Solving
Tools & Technologies
Cloud InfrastructureData PlatformsAPIsProduction ObservabilityLarge Language Models
Certifications & Qualifications
Bachelor’s Degree In Computer ScienceEngineering Or Related Technical Field
Industry Keywords
Enterprise AIIntelligent AutomationModel ServingRetrieval-Augmented GenerationProduction Systems
Tech Stack
Tools & technologiesCloudDistributed SystemsJavaPythonC++Go
About the role
Key responsibilities & impact- Design, develop, test, and operate scalable software systems powering Enterprise AI products and capabilities
- Translate ambiguous business and technical problems into clear engineering solutions
- Collaborate with product managers, data scientists, machine learning engineers, and partner teams to deliver AI-enabled experiences
- Own projects through the full software development lifecycle, from technical design and implementation through launch, monitoring, and continuous improvement
- Contribute through code reviews, design discussions, automated testing, observability, documentation, and operational best practices
- Help shape the technical direction of the Enterprise AI team by identifying opportunities, evaluating approaches, and sharing knowledge
- Investigate problems deeply and make progress while maintaining quality and reliability
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
- At least five years of professional software engineering experience building and operating production systems
- Proficiency in at least one modern programming language, such as Python, Java, Go, or C++
- Experience designing, implementing, testing, and troubleshooting distributed or highly scalable software systems
- Experience collaborating with cross-functional partners to define requirements and deliver software from concept through production
- Ability to communicate technical decisions clearly, participate in constructive code and design reviews, and take ownership of complex projects
- Preferred: Experience building AI- or machine learning-enabled products, platforms, or developer tools
- Preferred: Experience with large language models, retrieval-augmented generation, intelligent automation, model serving, or related Enterprise AI technologies
- Preferred: Experience with cloud infrastructure, data platforms, APIs, distributed systems, and production observability
- Preferred: Experience improving reliability, performance, security, or cost efficiency of software systems at scale
- Preferred: Ability to lead technical projects, mentor engineers, and influence decisions across organizational boundaries
- Preferred: Experience working effectively in a fast-changing environment
Benefits
Comp & perks- Flex First work arrangement with flexibility to work from home, an office, or a favorite coffee shop
- Regular in-person events
- New hire equity grant
- Annual refresh grants
- Market-competitive compensation and benefits
