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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building automation frameworks and CI/CD pipelines, with strong proficiency in Python, AWS, and Kubernetes. Capable of optimizing performance and troubleshooting across distributed systems and infrastructure.
Highest-signal resume keywords
Python DevelopmentAWS ExperienceKubernetes/EKS ExperienceCI/CD Pipeline DevelopmentObservability and Monitoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Automation Framework DevelopmentDebugging SystemsPerformance TestingSystems OptimizationLinux SkillsCLI SkillsApache SparkIcebergDistributed Data SystemsComplex Workflow Automation
Soft Skills
Problem-SolvingIndependent Work
Tools & Technologies
GitHub ActionsPrometheusGrafanaCloudWatchEMRS3EC2
Industry Keywords
QA AutomationDevOpsInfrastructure EngineeringCloud EnvironmentsDistributed Systems
Tech Stack
Tools & technologiesApacheAWSCloudDistributed SystemsEC2GrafanaKubernetesLinuxPrometheusPythonSpark
About the role
Key responsibilities & impact- Build robust automation frameworks for testing, validating, orchestrating, and releasing software
- Develop internal tools in Python to automate complex workflows, debugging, testing, and release processes
- Design and maintain CI/CD pipelines using GitHub Actions, ensuring every release meets high standards of correctness and performance
- Build monitoring and observability across distributed systems using Prometheus, Grafana, and CloudWatch
- Work hands-on with AWS and Kubernetes/EKS to build and operate scalable infrastructure
- Investigate complex system failures and performance issues across the application, container, cloud, and Linux layers
- Work closely with low-level systems and engineering teams, creating automated feedback loops that help drive system and hardware-level optimization
Requirements
What you’ll need- 6 years of experience in Software Development, QA Automation, DevOps, or Infrastructure Engineering in cloud or distributed environments
- Strong Python development skills, with experience building modular automation frameworks, tools, SDKs, or debugging systems
- Hands-on AWS experience, particularly with EMR, S3, and EC2
- Hands-on Kubernetes/EKS experience, including orchestration and networking
- Experience building and maintaining CI/CD and automated release pipelines
- Experience with observability and monitoring of distributed systems
- Strong Linux and CLI skills, with the ability to troubleshoot issues across OS, containers, and infrastructure
- Strong problem-solving skills and the ability to work independently in a technically challenging environment
- Experience with Apache Spark, Iceberg, or large-scale distributed data systems
- Background in performance testing, benchmarking, or systems optimization
- Experience working with low-level, hardware, or systems engineering teams
Benefits
Comp & perks- Significant ownership and the opportunity to shape the foundations of the environment from the ground up