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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in backend microservices architecture and development, with a strong focus on ETL performance and data pipeline orchestration. Proficient in leveraging cloud platforms and database technologies to optimize data-intensive systems and ensure production reliability.
Highest-signal resume keywords
Backend Engineering ExperienceMicroservices ArchitectureAWS or GCP ProficiencyRelational and Analytical Database TechnologiesInfrastructure-as-Code Using Terraform
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Microservices DevelopmentETL Performance OptimizationAPI DesignData Pipeline OrchestrationSystem DesignAutomated TestingPostgresDatabricksSnowflakePython Proficiency
Soft Skills
Technical MentorshipCollaboration
Tools & Technologies
AWSGCPTerraformFastAPIFlaskPySpark
Certifications & Qualifications
BSc in Computer Science
Industry Keywords
Distributed SystemsData-Intensive SystemsHigh-Throughput PipelinesObservabilityGenerative AI Integration
Tech Stack
Tools & technologiesAWSETLFlaskGoogle Cloud PlatformMicroservicesPostgresPySparkPythonSnowflakeSparkTerraform
About the role
Key responsibilities & impact- Lead the architecture and development of backend microservices for the distributed export ETL infrastructure
- Own microservices end-to-end, including architecture, API design, production deployment, observability, and execution tuning
- Drive ETL performance, throughput, and sub-second reliability using profiling and operational metrics
- Build, orchestrate, and scale high-throughput batch and real-time streaming data pipelines
- Support analytics, export workflows, and UI platform integrations
- Collaborate with Product, Data Science, Analytics, and cross-domain R&D teams
- Conduct design reviews, code reviews, asynchronous architecture discussions, and technical mentorship
Requirements
What you’ll need- 5+ years of backend engineering experience designing, operating, and scaling distributed microservices
- Hands-on experience architecting data-intensive systems and high-throughput batch or real-time pipelines
- Strong proficiency with relational and analytical database technologies, including Postgres, Databricks, and Snowflake
- Experience optimizing complex queries and data storage at scale
- Strong foundation in system design, data structures, clean API design, automated testing, and production observability
- Excellent proficiency with AWS or GCP
- Experience with Infrastructure-as-Code using Terraform
- Demonstrated use of AI tools and comfort integrating generative AI into daily workflows
- BSc in Computer Science or equivalent practical experience
- Nice to have: strong Python proficiency, including FastAPI or Flask, asynchronous tasks, and testable Python packages
- Nice to have: hands-on PySpark experience with batch and streaming jobs, Spark optimization, data skew, memory allocation, and shuffle reduction
Benefits
Comp & perks- Competitive salary
- Excellent benefits
- Fully remote
- Opportunity to take a central and critical role at Placer.ai
- Work with and learn from top-notch talent