Fullstack Engineer - U.S. Citizen (Remote)

ArcheSys Inc is a technology firm specializing in innovative cloud solutions and services for clients across various industries. They are seeking a highly motivated Fullstack Engineer to design, develop, and maintain Grafana dashboards and data pipelines while enhancing system visibility and reliability through AWS and DevOps practices.

Responsibilities:

• Design, develop, and maintain comprehensive, intuitive, and real-time Grafana dashboards that visualize key operational metrics, business KPIs, and application logs
• Collaborate with SRE, development, and product teams to gather requirements and translate complex data into clear, actionable visualizations
• Optimize Grafana dashboards for performance, scalability, and usability, ensuring quick loading times and effective data presentation
• Implement alerting rules within Grafana to proactively notify teams of anomalies and potential issues
• Design and implement robust ETL/ELT pipelines to extract, transform, and load data from various sources (e.g., Prometheus, Splunk, CloudWatch, RDS, OpenTelemetry, custom APIs) into data stores consumable by Grafana
• Write and optimize complex queries (SQL, PromQL, Splunk SPL, etc.) to ensure data accuracy and efficiency
• Develop and maintain APIs to facilitate data exchange and integration between different system components and monitoring tools
• Implement data quality checks, performance tuning (indexing, partitioning), and backup/restore strategies for data sources
• Design, deploy, and manage scalable and resilient AWS infrastructure to support Grafana instances, data sources, and related services
• Utilize AWS services such as EC2, ECS/EKS, Lambda, S3, RDS, CloudWatch, Kinesis, DynamoDB, and others to build and optimize our observability platform
• Implement security best practices within the AWS environment, including IAM roles, security groups, and network configurations
• Design, implement, and maintain robust CI/CD pipelines for automating the build, testing, and deployment of Grafana dashboards, underlying data pipelines, and infrastructure as code
• Utilize tools like AWS CodePipeline, Jenkins, GitLab CI, or similar for continuous integration and continuous deployment
• Develop and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, or Ansible for managing all AWS resources
• Automate operational tasks, monitoring deployments, and testing processes to improve efficiency and reliability
• Apply SRE principles to ensure the reliability, scalability, and performance of our monitoring and observability infrastructure
• Participate in on-call rotations, responding to alerts and incidents related to dashboard functionality, data accuracy, and performance
• Conduct root cause analysis (RCA) for incidents and implement corrective actions to prevent recurrence
• Define and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for key services, ensuring dashboards reflect these metrics accurately
• Work closely with cross-functional teams (development, operations, product) to understand monitoring needs and provide expert guidance on observability best practices
• Create and maintain comprehensive documentation detailing dashboard designs, data sources, query logic, AWS architecture, and operational procedures
• Contribute to code reviews, promote best practices, and mentor junior team members

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience
• 4-7 years of experience in a Fullstack Development, Data Engineering, or SRE role with a strong focus on monitoring, observability, and AWS infrastructure
• Proven hands-on experience designing, developing, and maintaining complex Grafana dashboards
• Strong proficiency in at least one backend programming language (e.g., Python, Go, Java, Node.js)
• Extensive experience with various data sources for Grafana (e.g., Prometheus, Loki, Splunk, SQL databases, CloudWatch)
• Deep hands-on experience with AWS cloud services, including but not limited to EC2, ECS/EKS, Lambda, S3, RDS, CloudWatch, Kinesis, DynamoDB
• Proven experience designing and implementing robust CI/CD pipelines and DevOps automation using tools like AWS CodePipeline, Jenkins, GitLab CI, or similar
• Strong experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
• Solid understanding of SRE principles, including SLOs, SLIs, error budgets, toil reduction, and incident management
• Experience with containerization technologies (Docker, Kubernetes)
• Excellent analytical and problem-solving skills with a keen eye for detail
• Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly to diverse audiences
• Ability to work independently and collaboratively in a fast-paced, dynamic environment
• AWS Certifications (e.g., Solutions Architect, DevOps Engineer)
• Experience with other observability tools (e.g., Datadog, New Relic, OpenTelemetry)
• Knowledge of distributed tracing concepts and tools (e.g., Jaeger, Tempo)
• Experience with machine learning for anomaly detection in time-series data
• Contributions to open-source projects related to Grafana or observability