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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in building and operating large-scale distributed platforms using Java and Python, with a strong focus on microservices architectures, system design, and operational excellence. Proficient in leveraging AI and GenAI technologies to enhance platform capabilities and ensure reliability and scalability.
Highest-signal resume keywords
Java ProficiencyPython ProficiencyMicroservices ArchitectureKubernetes OrchestrationOperational Excellence
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 DesignDomain-Oriented DesignLow-Level DesignCI/CDSparkMLOpsEvent-Driven PatternsInfrastructure AutomationSecure API Design
Soft Skills
Technical JudgmentOwnershipMentoring
Tools & Technologies
KubernetesHadoopHDFSHiveKafkaGenAILLM Tooling
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Engineering
Industry Keywords
ObservabilityDistributed TracingIncident ResponseCapacity PlanningFault 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 domain-oriented design, system design, and low-level design rigor to platform problems
- Contribute to Spark-based data pipelines and processing jobs
- Build AI, GenAI, and agentic-powered platform capabilities, including developer tooling, workflow automation, agentic services, and AI-assisted operational tooling
- Own platform reliability, scalability, observability, SLOs, distributed tracing, alerting, and incident response
- Guide architecture and system design across microservices, event-driven systems, and enterprise integrations
- Partner with data engineers, data scientists, and ML engineers on platform primitives for data pipelines, feature stores, and model-serving paths
- Establish engineering standards through architecture, design, code, and production readiness reviews
- Set technical direction and best practices across multiple teams and mentor engineers
- Evaluate and adopt emerging platform, cloud, and AI/agentic technologies pragmatically
Requirements
What you’ll need- 12+ years of professional software engineering experience building and operating large-scale distributed platforms
- Strong proficiency in Java and Python required
- Additional experience with Go, C++, or Scala is a plus
- 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 a related technical field, or equivalent practical experience
- Deep experience with microservices architectures, distributed systems, event-driven patterns, API design, service contracts, and enterprise system integration
- Strong system design, domain-oriented design (DDD), and low-level design (LLD) skills
- Deep understanding of CI/CD, containerization, Kubernetes or equivalent orchestration, infrastructure automation, and production operations
- Working-level Spark required; 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
- Grounding in security, privacy, authentication, authorization, data protection, and secure API design
- Ability to translate ambiguous technical/business problems into execution plans
- Strong ownership and technical judgment in a 0-to-1 environment
- Minimum qualification alternative: Bachelor's degree in a specified technical field and 5 years’ experience in software engineering or related area, or 7 years’ experience in software engineering or related area
Benefits
Comp & perks- Incentive awards for performance
- Maternity and parental leave
- PTO
- Health benefits