Job description

About Infinitive: Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 7 times most recently in 2024. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” Job Summary: We are seeking a highly skilled DevOps and Data Engineer to design, deploy, and optimize infrastructure and data pipelines while implementing best-in-class observability practices using New Relic. This role is ideal for someone with a strong background in CI/CD, containerization, cloud infrastructure, and data engineering workflows who can also ensure platform reliability and performance through monitoring and alerting solutions. Key Responsibilities: • DevOps & Infrastructure: • Design and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI. • Manage cloud infrastructure (AWS, Azure, or GCP) using infrastructure-as-code tools like Terraform or CloudFormation. • Automate deployment, scaling, and monitoring of containerized applications (Docker, Kubernetes). • Data Engineering: • Build and maintain data ingestion pipelines using Python, PySpark, or Spark. • Integrate data pipelines with cloud data lakes (e.g., S3, GCS) and warehouses (e.g., Snowflake, Redshift, BigQuery). • Ensure data quality, transformation, and scheduling through orchestration tools (e.g., Airflow, Cloud Composer). • Observability & Monitoring: • Implement and manage observability strategies using New Relic for application performance monitoring, logs, metrics, and alerts. • Define and track SLAs, SLOs, and error budgets to uphold platform reliability. • Provide actionable insights by analyzing telemetry data from distributed systems. • Collaboration & Operations: • Work closely with software, data, and product teams to ensure smooth integration and high system performance. • Participate in incident response, root cause analysis, and post-mortem documentation. • Drive process improvement for deployment automation, cost optimization, and system resilience. Required Qualifications: • 5+ years of experience in DevOps, Site Reliability, or Data Engineering roles. • Hands-on experience with New Relic for observability and incident diagnostics. • Proficient in cloud platforms (AWS, GCP, or Azure), especially for infrastructure and data pipeline setup. • Strong coding/scripting in Python, Bash, or Go. • Experience with CI/CD pipelines, Docker, Kubernetes, and IaC tools like Terraform. • Experience with data processing frameworks such as Spark, PySpark, or Kafka. • Familiarity with log aggregation tools and practices (e.g., ELK Stack, Fluentd). Preferred Qualifications: • Experience with New Relic integrations for Kubernetes, serverless, and custom instrumentation. • Prior exposure to Databricks, Airflow, or similar platforms. • Knowledge of security best practices and compliance standards (SOC2, HIPAA, etc.). • Experience with cost monitoring and optimization for observability and cloud spend. Nice-to-Have Certifications: • AWS Certified DevOps Engineer or GCP Professional Data Engineer • New Relic Certified Performance Pro or equivalent i7auLNMuvF

Requirements