Fullstack Engineer

Archesys

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Design, develop, and maintain Grafana dashboards
Optimize Grafana dashboards for performance, scalability, and usability
Implement alerting rules within Grafana
Design and implement ETL/ELT pipelines
Write and optimize complex queries (SQL, PromQL, Splunk SPL, etc.)
Develop and maintain APIs for data exchange
Implement data quality checks, performance tuning, and backup/restore strategies
Design, deploy, and manage AWS infrastructure
Implement security best practices within the AWS environment
Design, implement, and maintain CI/CD pipelines
Develop and maintain Infrastructure as Code (IaC)
Automate operational tasks, monitoring deployments, and testing processes
Apply SRE principles to ensure reliability, scalability, and performance
Participate in on-call rotations
Conduct root cause analysis (RCA) for incidents
Define and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs)
Create and maintain comprehensive documentation
Contribute to code reviews
Promote best practices
Mentor junior team members

Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience
4-7 years of experience in Fullstack Development, Data Engineering, or SRE role
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 (EC2, ECS/EKS, Lambda, S3, RDS, CloudWatch, Kinesis, DynamoDB)
Proven experience designing and implementing robust CI/CD pipelines and DevOps automation (AWS CodePipeline, Jenkins, GitLab CI, or similar)
Strong experience with Infrastructure as Code (IaC) tools (Terraform, CloudFormation, or Ansible)
Solid understanding of SRE principles (SLOs, SLIs, error budgets, toil reduction, incident management)
Experience with containerization technologies (Docker, Kubernetes)
Excellent analytical and problem-solving skills
Keen eye for detail
Strong communication and interpersonal skills
Ability to articulate complex technical concepts clearly
Ability to work independently and collaboratively

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

Skills