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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive backend expertise in Python and experience with AI-driven development, focusing on building scalable data-intensive systems and pipelines. Proficient in designing and implementing reliable AI features while collaborating effectively with product teams to deliver impactful solutions.
Highest-signal resume keywords
Backend Expertise In PythonData Modelling And ProcessingAI-Driven DevelopmentAWS ExperienceScalable System Design
ATS Keywords
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Hard Skills
PythonJavaC++Data ProcessingData ModellingAI Feature ImplementationDistributed Data PipelinesAsynchronous WorkflowsEvent-Driven PipelinesProduction-Ready Feature Development
Soft Skills
Clear CommunicationCollaborationProblem-SolvingAdaptabilityStorytelling
Tools & Technologies
AWSAI TelemetryAnomaly DetectionFeedback LoopsEvaluation Harnesses
Industry Keywords
FinOpsAI Cost IntelligenceCloud BillingUsage AnalyticsHigh-Ownership Environment
Tech Stack
Tools & technologiesAWSCloudJavaPythonC++
About the role
Key responsibilities & impact- Design and build backend-heavy platform features for the FinOps and AI cost intelligence platform
- Productionalise AI-enabled capabilities such as anomaly detection, recommendations, and agent-based workflows
- Implement AI across prototyping, testing, iteration, and deployment
- Design and build distributed data pipelines processing cloud billing, usage, and AI telemetry
- Build reliable systems handling backfills, late-arriving data, and historical reprocessing
- Design scalable data models and APIs powering customer-facing analytics and AI cost insights
- Collaborate closely with Product to turn vision into shipped features
- Identify blockers early, communicate clearly, and iterate quickly
- Shape engineering standards and patterns as the product matures
- Build AI features with evaluation criteria, feedback loops, and guardrails for accuracy, latency, cost, and explainability
- Ship at least two production-ready features in the first 6–12 months
- Establish repeatable AI engineering practices, including evaluation harnesses, rollout strategies, and rollback mechanisms
Requirements
What you’ll need- 8+ years of professional software engineering experience
- Deep backend expertise in Python; Java or C++ as secondary languages
- Experience building and operating data-intensive backend systems or pipelines in production
- Strong understanding of data modelling, reliability, and data processing
- Ability to design scalable systems and take them from concept through production
- Experience with AI driven development to accelerate and drive product development
- Hands-on experience building on AWS
- Demonstrated experience using AI in real production systems, not just experimentation
- Comfortable working in ambiguity with product-led direction
- Ability to architect backend services supporting asynchronous workflows, event-driven pipelines, and AI agents
- Comfort articulating AI trade-offs around latency, explainability, data availability, and long-term maintainability
- Ability to tell a compelling story about a product journey and explain decisions and trade-offs
- Ability to clearly articulate technical roadblocks and collaborate on solutions
- Ability to thrive in a fast-paced, high-ownership environment
Benefits
Comp & perks- Fully remote work
- High ownership, high trust environment
- Opportunity to own and shape technical delivery at scale
- Work closely with experienced engineering and delivery teams
- Exposure to broader cloud optimisation and consulting initiatives over time
- Near-founding-engineer level autonomy and influence
- Direct impact on product direction and commercial outcomes
- Opportunity to help shape a platform with standalone, licensable AI capabilities