Cloud Engineer - Sr

AKAASA TECHNOLOGIES INC

Richmond, United States of America

1 month ago

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Job location

Richmond, United States of America

Tech stack

Java

API

Amazon Web Services (AWS)

Cloud Engineering

Continuous Integration

Data Files

Python

Newrelic

SQL Databases

Systems Architecture

Systems Integration

Datadog

Backend

Amazon Web Services (AWS)

Drilldown

GraphQL

Splunk

New Relic (SaaS)

Docker

Jenkins

Databricks

Job description

SRE background required, AWS, Python/Java, Expertise in observability tools like Splunk, New Relic, Observe (Must have) Working on journey mapping on DFS intent Focus: Full-Stack Observability, System Traceability, & Executive Health Scoring

Requirements

We are seeking a hands-on Observability Specialist to accelerate the adoption of our Observe based platform. The ideal candidate possesses an SRE mindset-the ability to explore how complex systems interact and identify the exact data sets needed to provide a 360-degree view of the environment. You will bridge the gap between disparate Lines of Business (LOBs) to build E2E traceability and unified "Health Indices" that reduce mean-time-to-detect (MTTD) from hours to minutes.\Technical Skill Requirements

Core Observability & Tooling

Platform Expertise: Deep experience with modern observability platforms. While we use Observe, proficiency in New Relic, Splunk, or Databricks is required for rapid ramp-up.
Query & Data Fluency: Expert-level ability to write complex queries (SQL-based or proprietary like NRQL/SPL) to aggregate API success rates, latency, and crash-free session data.
Dashboard Architecture: Proven track record of building "Drill-Down" architectures-moving from high-level user journeys (e.g., Login) directly into microservice-level logs and traces.

The Modern Tech Stack

Infrastructure: Hands-on experience with AWS (ECS/Fargate/Lambda) and Docker.
Languages: Ability to navigate and instrument code in Python or Java.
Integrations: Familiarity with GraphQL for data fetching and Jenkins for CI/CD pipeline monitoring.
Instrumentation: Hands-on experience with OTel, and familiarity with NewRelic APM or Datadog APM

SRE & Systems Architecture Mindset

Cross-Domain Traceability: Experience monitoring digital customer engagement across disparate system boundaries (e.g., Comms, Phone, and Backend APIs) to expose "silent failures."
Telemetry Mapping: Ability to map technical metrics to business outcomes, specifically creating Unified Health Indices for Senior Leadership (SLT)Root Cause Analysis (RCA): Skill in configuring alerts and correlations that enable instant pinpointing of failures within complex user flows.