Jobs via Dice
Overview
Job Title: SRE Lead Location: Atlanta, GA (Day 1 Hybrid) | Hybrid: Thursday to Wednesday work from office. Looking for W2 candidates. No C2C. Client: QTech US Inc. Apply via Dice. Responsibilities
Work with the team to define SRE maturity model, observability strategy, identify gaps, and AWS reliability roadmap. Translate business SLAs into SLIs/SLOs/Error Budgets. Lead and implement AWS serverless reliability architecture (multi-region, failover, self-healing). Define observability blueprints (logs, metrics, traces, UX telemetry). Define cost-optimized Data Observability and Resiliency solutions. Design and implement fault-tolerant, highly available AWS architectures. Experience with DynamoDB global tables, RDS failovers, and capacity planning. Apply SRE principles: SLIs, SLOs, SLAs, error budgets, and toil reduction. Drive chaos engineering, disaster recovery, and capacity planning exercises. Qualifications / Experience
Experience in building and operating reliable, scalable systems on AWS. Strong understanding of observability, incident response, and reliability engineering practices. Familiarity with DynamoDB global tables, RDS failovers, and capacity planning. Ability to translate business requirements into technical SLIs/SLOs. Notes
Signature and contact details removed from this description to maintain focus on the role responsibilities and requirements.
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Job Title: SRE Lead Location: Atlanta, GA (Day 1 Hybrid) | Hybrid: Thursday to Wednesday work from office. Looking for W2 candidates. No C2C. Client: QTech US Inc. Apply via Dice. Responsibilities
Work with the team to define SRE maturity model, observability strategy, identify gaps, and AWS reliability roadmap. Translate business SLAs into SLIs/SLOs/Error Budgets. Lead and implement AWS serverless reliability architecture (multi-region, failover, self-healing). Define observability blueprints (logs, metrics, traces, UX telemetry). Define cost-optimized Data Observability and Resiliency solutions. Design and implement fault-tolerant, highly available AWS architectures. Experience with DynamoDB global tables, RDS failovers, and capacity planning. Apply SRE principles: SLIs, SLOs, SLAs, error budgets, and toil reduction. Drive chaos engineering, disaster recovery, and capacity planning exercises. Qualifications / Experience
Experience in building and operating reliable, scalable systems on AWS. Strong understanding of observability, incident response, and reliability engineering practices. Familiarity with DynamoDB global tables, RDS failovers, and capacity planning. Ability to translate business requirements into technical SLIs/SLOs. Notes
Signature and contact details removed from this description to maintain focus on the role responsibilities and requirements.
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