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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and operating distributed production systems, with a strong focus on backend engineering in Python and REST API design. Proven ability to mentor engineers and collaborate effectively with cross-functional teams to deliver high-quality, data-intensive solutions.
Highest-signal resume keywords
Distributed Production SystemsPython MasteryEvent-Driven ArchitectureSLO ManagementTypeScript/Vue Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonFastAPIKafkaREST API DesignTypeScriptVueCloud Infrastructure ManagementIncident ManagementTelemetry ValidationData Quality Frameworks
Soft Skills
MentoringTechnical GuidanceCollaborationStakeholder Engagement
Tools & Technologies
AWSAirflowElasticsearchIoT TelemetryTime-Series Data
Industry Keywords
EnergyOil & GasGlobal Commodities Markets
Tech Stack
Tools & technologiesAirflowAWSCloudElasticSearchIoTKafkaPythonScalaTypeScriptVue.js
About the role
Key responsibilities & impact- Design, build, and operate major platform components end-to-end, from high-throughput streaming ingestion using Kafka, Airflow, and Python/FastAPI to web applications using TypeScript/Vue
- Lead subsystem architecture through design specifications, peer reviews, and pragmatic build-versus-adapt decisions
- Ensure production operational excellence through SLO management, system observability, on-call rotation, and incident response
- Architect data quality frameworks including telemetry validation, reconciliation, and time-series monitoring
- Collaborate with marine tracking and data platform teams to integrate inland data feeds into Kpler’s broader platform architecture
- Mentor mid-level engineers through technical design guidance, code reviews, and pair programming
- Establish team-wide engineering conventions
- Partner with early customers and product leaders to demonstrate features, gather feedback, and shape product roadmaps
- Extend Kpler’s real-time trade intelligence platform into North American inland supply chains
- Fuse pipeline sensor telemetry, rail, and waterway data with existing maritime tracking
- Deliver a unified, production basin-to-export-terminal intelligence platform to paying customers
Requirements
What you’ll need- 5+ years of professional software engineering experience building and operating distributed production systems
- Proven experience architecting event-driven or data-intensive systems using streaming technologies like Kafka or similar message queues
- Strong backend engineering mastery in Python and REST API design (e.g., FastAPI)
- Comfort contributing to frontend surfaces using TypeScript/Vue
- Direct experience managing production cloud infrastructure, AWS preferred
- Experience with SLO establishment, incident management, and deep observability
- Demonstrated capability to mentor engineers, guide technical discussions, and engage directly with end-users or stakeholders
- Nice to have: Experience with Scala or running Elasticsearch clusters at scale
- Nice to have: Hands-on background handling IoT telemetry, remote sensor feeds, time-series data, or geospatial datasets
- Nice to have: Domain knowledge in energy, oil & gas, or global commodities markets
- Nice to have: Prior experience as an early or founding engineer in a new product initiative
Benefits
Comp & perks- Equal opportunity employer
- Inclusive and diverse work environment
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