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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and operating distributed platform services and APIs using Java and Python, with a strong focus on system design, reliability, and observability. Proficient in cloud-native engineering and integrating AI capabilities into platform solutions.
Highest-signal resume keywords
Java ProficiencyPython ProficiencyKubernetes ExperienceMicroservices ArchitectureSystem Design Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Distributed SystemsAPI DesignCloud-Native EngineeringCI/CDSpark ExperienceMLOps PracticesIncident ManagementObservabilityData ProtectionLow-Level Design
Soft Skills
Technical JudgmentOwnershipMentoring
Tools & Technologies
KubernetesHadoopHDFSHiveKafkaGenAI ToolingAgentic Workflows
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Engineering
Industry Keywords
Operational ExcellenceEngineering ExcellenceEvent-Driven PatternsService ContractsFault Tolerance
Tech Stack
Tools & technologiesCloudDistributed SystemsHadoopHDFSJavaKafkaKubernetesMicroservicesPythonScalaSparkC++Go
About the role
Key responsibilities & impact- Design, build, and operate distributed platform services and APIs using Java and Python on Kubernetes or equivalent cloud-native infrastructure
- Apply system design and low-level design rigor to evaluate dependencies, trade-offs, failure modes, scalability, and cost
- Contribute to Spark-based data pipelines and processing jobs alongside platform work
- Build AI, GenAI, and agentic-powered platform capabilities, including developer tooling, workflow automation, agentic services, and AI-assisted operational tooling
- Own reliability, scalability, and observability, including SLOs, distributed tracing, alerting, and incident response
- Contribute to architecture and system design across microservices, event-driven systems, and enterprise integrations
- Partner with data engineers, data scientists, and ML engineers on services supporting data pipelines, feature stores, and model-serving paths
- Participate in architecture, design, code, and production readiness reviews
- Provide technical judgment, mentor early-career engineers, and improve engineering quality
- Evaluate emerging platform, cloud, and AI/agentic technologies for reliability, productivity, and business value
Requirements
What you’ll need- 5+ years of professional software engineering experience building and operating distributed platforms
- Strong proficiency in Java and Python; production coding, code review, and debugging
- Operational Excellence and Engineering Excellence mindset, including SLO/SLA ownership, incident management, blameless post-incident reviews, reliability and quality metrics, and continuous improvement
- Bachelor's or Master's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience
- Experience with microservices architectures, distributed systems, event-driven patterns, API design, service contracts, and enterprise system integration
- Strong system design and low-level design (LLD) skills
- Experience with cloud-native engineering, CI/CD, containerization, Kubernetes or equivalent orchestration, infrastructure automation, and production operations
- Working-level Spark experience; familiarity with Hadoop/HDFS, Hive, or Kafka
- Hands-on experience integrating model APIs and GenAI/LLM tooling
- Experience building or operating agentic workflows, embeddings/vector search, and MLOps practices
- Knowledge of observability, distributed tracing, logging, metrics, alerting, incident response, capacity planning, and fault tolerance
- Knowledge of authentication, authorization, data protection, and secure API design
- Ability to translate technical/business problems into execution plans
- Strong ownership, technical judgment, and autonomy in a 0-to-1 environment
- Additional experience with Go, C++, or Scala is a plus
Benefits
Comp & perks- Incentive awards for performance
- Maternity and parental leave
- PTO
- Health benefits
- Flexible personal-life management around daily office work
- Compensation package