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Site Reliability Engineer- Only candidates from GA location required

Alpharetta, GA, US • Posted 8 hours ago • Updated 4 hours ago

Contract W2

Contract Independent

Contract Corp To Corp

12 Months

No Travel Required

On-site

Depends on Experience

Zealogics

Fitment

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Job Details

Skills

Description: Role Overview The Site Reliability Engineer will support Cyber Data Risk & Resilience by ensuring the reliability
availability
performance
and operational visibility of critical cybersecurity platforms and services. This role is responsible for keeping production systems running
instrumenting infrastructure and application layers
building meaningful monitoring and actionable alerting
supporting incident response
and continuously improving dashboards used by engineering
operations
risk
and executive stakeholders. Responsibilities Maintain and improve the reliability
scalability
and performance of cybersecurity platforms
services
and supporting infrastructure Support day-to-day operational stability by monitoring system health
identifying risks
responding to incidents
and driving timely resolution of service-impacting issues Instrument infrastructure
applications
APIs
data pipelines
and cloud components to provide end-to-end visibility into system behavior and service health Design
build
and continuously refine monitoring
alerting
logging
tracing
and observability capabilities across distributed systems and cloud environments Develop meaningful and actionable alerts that reduce noise
improve signal quality
and enable teams to respond quickly to emerging issues Define and track key reliability metrics
including availability
latency
throughput
error rates
saturation
service-level indicators
service-level objectives
and operational risk indicators Build
maintain
and enhance dashboards for engineering
product
and executive stakeholders
ensuring information is accurate
timely
and decision-ready Continuously modify and improve executive dashboards to support regular leadership reviews of service health
reliability trends
incidents
risks
and operational performance Partner with engineering
cybersecurity
infrastructure
cloud
and application teams to identify reliability gaps and implement long-term improvements Participate in incident response
root-cause analysis
problem management
and post-incident reviews to prevent recurrence and improve operational maturity Automate operational tasks
health checks
reporting
deployment validation
and recovery procedures to improve efficiency and reduce manual effort Collaborate with application and platform teams to embed reliability
monitoring
and supportability requirements into the software development lifecycle Support CI/CD
DevOps
and release management practices by validating operational readiness
monitoring coverage
rollback plans
and production support requirements Contribute to resiliency engineering efforts
including capacity planning
performance tuning
failover validation
disaster recovery readiness
and chaos/resilience testing where applicable Ensure monitoring
dashboards
and operational processes align with enterprise security
compliance
and governance standards Required Qualifications 7 to 10+ years of experience in site reliability engineering
systems engineering
software engineering
infrastructure engineering
or production operations Strong experience supporting highly available
distributed
cloud-based
or mission-critical technology platforms Hands-on experience with observability practices
including monitoring
metrics
and service health reporting Experience instrumenting applications
databases
and cloud components to enable end-to-end operational visibility Strong understanding of reliability engineering concepts
including SLIs
SLOs
SLAs
error budgets
incident management
capacity management
and operational readiness Experience designing actionable alerts that support rapid issue detection
triage
escalation
and resolution Experience building and maintaining operational dashboards for technical teams
support teams
and senior/executive stakeholders Strong scripting or programming skills using Python
Java
Bash
PowerShell
or similar languages for automation and operational tooling Experience with cloud platforms such as AWS
Azure
or GCP Experience with Infrastructure-as-Code tools such as Terraform or similar technologies Experience working with CI/CD pipelines
DevOps workflows
release processes
and production support models Experience troubleshooting distributed systems
REST services
event-driven architectures
messaging platforms
and service-to-service integrations Familiarity with relational and non-relational databases
such as PostgreSQL
MSSQL
MongoDB
or similar platforms Strong analytical
troubleshooting
and problem-solving skills with the ability to diagnose complex technical issues across multiple layers of the stack Strong written and verbal communication skills
including the ability to translate technical issues into clear business and executive-level updates Preferred Skills Experience supporting cybersecurity
resilience
or enterprise security platforms Experience with observability and monitoring tools such as Splunk
Grafana
Prometheus
Datadog
Dynatrace
New Relic
Azure Monitor
CloudWatch
OpenTelemetry
or similar platforms Experience creating executive-level service health dashboards
reliability scorecards
operational risk reporting
or incident trend reporting Experience developing automated health checks
synthetic monitoring
service dependency maps
and operational runbooks Experience with incident response
major incident management
postmortems
and problem management practices Experience with containerized and cloud-native environments
including Kubernetes
Docker
serverless services
or managed cloud platforms Experience with distributed messaging or streaming platforms such as Apache Kafka Familiarity with cloud-native security
governance
and policy tooling such as Azure Policy
AWS SCP
GCP constraints
or related controls Familiarity with Cloud Security Posture Management tools such as Wiz
Prisma
CloudGuard
or similar platforms Experience with cloud-based AI services such as Azure AI
AWS Bedrock
or Google Vertex AI
particularly from an operational monitoring
reliability
or governance perspective Experience supporting Linux and Windows environments through scripting
automation
and operational troubleshooting Exposure to web technologies
front-end services
or user-facing application monitoring Additional Skills Strong ownership mindset with a focus on operational excellence and service reliability Ability to operate effectively in fast-paced
production-focused environments with minimal supervision Strong ability to prioritize issues based on customer impact
business risk
service criticality
and operational urgency Effective collaboration skills across engineering
and executive stakeholder groups Ability to communicate service health
operational risks
and reliability trends clearly to both technical and non-technical audiences Proactive and continuous-improvement mindset with a focus on automation
simplification
and measurable outcomes Strong attention to detail when building dashboards
defining metrics
tuning alerts
and preparing executive-level operational reporting
Site Reliability Engineer
Site Reliability
Reliability Engineer
SRE
FOCUS
Failover
Good Clinical Practice
Google Cloud Platform
Information Security Governance
Kubernetes
Leadership
Linux
Management
Messaging
Microsoft Azure
Microsoft Windows
Operational Excellence
Operational Risk
PostgreSQL
Problem Solving
Production Support
Python
RESTful
Recovery
Regulatory Compliance
Relational Databases
Release Management
Reliability Engineering
Root Cause Analysis
SCP
Scripting
Service Level
Software Development
Splunk
Streaming
Terraform
Testing
Vertex
Windows PowerShell
Workflow
Attention To Detail
CHAOS
Amazon Web Services
Analytical Skill
Collaboration
Communication
Conflict Resolution
Apache HTTP Server
Artificial Intelligence
Budget
Cloud Computing
Cyber Security
Cloud Security
Continuous Delivery
Continuous Improvement
Continuous Integration
Dashboard
Database
Disaster Recovery

Summary

Description:

Role Overview

The Site Reliability Engineer will support Cyber Data Risk & Resilience by ensuring the reliability, availability, performance, and operational visibility of critical cybersecurity platforms and services. This role is responsible for keeping production systems running, instrumenting infrastructure and application layers, building meaningful monitoring and actionable alerting, supporting incident response, and continuously improving dashboards used by engineering, operations, risk, and executive stakeholders.

Responsibilities

Maintain and improve the reliability, availability, scalability, and performance of cybersecurity platforms, services, and supporting infrastructure
Support day-to-day operational stability by monitoring system health, identifying risks, responding to incidents, and driving timely resolution of service-impacting issues
Instrument infrastructure, applications, services, APIs, data pipelines, and cloud components to provide end-to-end visibility into system behavior and service health
Design, build, and continuously refine monitoring, alerting, logging, tracing, and observability capabilities across distributed systems and cloud environments
Develop meaningful and actionable alerts that reduce noise, improve signal quality, and enable teams to respond quickly to emerging issues
Define and track key reliability metrics, including availability, latency, throughput, error rates, saturation, service-level indicators, service-level objectives, and operational risk indicators
Build, maintain, and enhance dashboards for engineering, operations, product, risk, and executive stakeholders, ensuring information is accurate, timely, and decision-ready
Continuously modify and improve executive dashboards to support regular leadership reviews of service health, reliability trends, incidents, risks, and operational performance
Partner with engineering, cybersecurity, infrastructure, cloud, and application teams to identify reliability gaps and implement long-term improvements
Participate in incident response, root-cause analysis, problem management, and post-incident reviews to prevent recurrence and improve operational maturity
Automate operational tasks, health checks, reporting, deployment validation, and recovery procedures to improve efficiency and reduce manual effort
Collaborate with application and platform teams to embed reliability, monitoring, and supportability requirements into the software development lifecycle
Support CI/CD, DevOps, and release management practices by validating operational readiness, monitoring coverage, rollback plans, and production support requirements
Contribute to resiliency engineering efforts, including capacity planning, performance tuning, failover validation, disaster recovery readiness, and chaos/resilience testing where applicable
Ensure monitoring, alerting, dashboards, and operational processes align with enterprise security, risk, compliance, and governance standards

Required Qualifications

7 to 10+ years of experience in site reliability engineering, systems engineering, software engineering, DevOps, infrastructure engineering, or production operations
Strong experience supporting highly available, distributed, cloud-based, or mission-critical technology platforms
Hands-on experience with observability practices, including monitoring, alerting, logging, metrics, tracing, dashboards, and service health reporting
Experience instrumenting applications, services, APIs, infrastructure, databases, and cloud components to enable end-to-end operational visibility
Strong understanding of reliability engineering concepts, including SLIs, SLOs, SLAs, error budgets, incident management, capacity management, and operational readiness
Experience designing actionable alerts that support rapid issue detection, triage, escalation, and resolution
Experience building and maintaining operational dashboards for technical teams, support teams, and senior/executive stakeholders
Strong scripting or programming skills using Python, Java, Bash, PowerShell, or similar languages for automation and operational tooling
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
Experience with Infrastructure-as-Code tools such as Terraform or similar technologies
Experience working with CI/CD pipelines, DevOps workflows, release processes, and production support models
Experience troubleshooting distributed systems, REST services, event-driven architectures, messaging platforms, and service-to-service integrations
Familiarity with relational and non-relational databases, such as PostgreSQL, MSSQL, MongoDB, or similar platforms
Strong analytical, troubleshooting, and problem-solving skills with the ability to diagnose complex technical issues across multiple layers of the stack
Strong written and verbal communication skills, including the ability to translate technical issues into clear business and executive-level updates

Preferred Skills

Experience supporting cybersecurity, risk, resilience, compliance, or enterprise security platforms
Experience with observability and monitoring tools such as Splunk, Grafana, Prometheus, Datadog, Dynatrace, New Relic, Azure Monitor, CloudWatch, OpenTelemetry, or similar platforms
Experience creating executive-level service health dashboards, reliability scorecards, operational risk reporting, or incident trend reporting
Experience developing automated health checks, synthetic monitoring, service dependency maps, and operational runbooks
Experience with incident response, major incident management, postmortems, root-cause analysis, and problem management practices
Experience with containerized and cloud-native environments, including Kubernetes, Docker, serverless services, or managed cloud platforms
Experience with distributed messaging or streaming platforms such as Apache Kafka
Familiarity with cloud-native security, governance, and policy tooling such as Azure Policy, AWS SCP, Google Cloud Platform constraints, or related controls
Familiarity with Cloud Security Posture Management tools such as Wiz, Prisma, CloudGuard, or similar platforms
Experience with cloud-based AI services such as Azure AI, AWS Bedrock, or Google Vertex AI, particularly from an operational monitoring, reliability, or governance perspective
Experience supporting Linux and Windows environments through scripting, automation, monitoring, and operational troubleshooting
Exposure to web technologies, APIs, front-end services, or user-facing application monitoring

Additional Skills

Strong ownership mindset with a focus on operational excellence and service reliability
Ability to operate effectively in fast-paced, production-focused environments with minimal supervision
Strong ability to prioritize issues based on customer impact, business risk, service criticality, and operational urgency
Effective collaboration skills across engineering, operations, cybersecurity, infrastructure, risk, and executive stakeholder groups
Ability to communicate service health, operational risks, incidents, and reliability trends clearly to both technical and non-technical audiences
Proactive and continuous-improvement mindset with a focus on automation, simplification, resilience, and measurable outcomes
Strong attention to detail when building dashboards, defining metrics, tuning alerts, and preparing executive-level operational reporting

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90824428
Position Id: 8983803
Posted 8 hours ago

Company Info

About Zealogics

Welcome to Zealogics

Zealogics LLC provides a broad range of IT consulting, systems implementation and application outsourcing services through an optimized global delivery model. Zealogics also built deep knowledge of traditional product engineering across mechanical, electronics and software platforms, to enable clients to navigate their digital transformation.

Zealogics value engineering techniques, automation frameworks, and reference models are refined through engagements with Fortune 500 enterprises and OEMs. We combine customer-centric product strategies with a collaborative approach to execution. It helps harmonize processes, identify bottlenecks, and eliminate non-value adding tasks to deliver world-class products.

We also focus on connecting the right people with the right positions whether for a full-time career opportunity or a temporary assignment. Our long-term relationships with employees and clients have been built in an environment of integrity and commitment, with a shared goal of mutual success. We hire talented people to solve a wide array of IT and Engineering challenges that our clients face day to day. Here at Zealogics we provide the best services for the best price in town. That s our guarantee.

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Alpharetta, Georgia

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Description: The Technical Program Manager will support the delivery of large scale security initiatives within the Technology and Operations Risk organization. This role partners with engineering, product, and business stakeholders to plan, coordinate, and execute complex programs, ensuring alignment to portfolio roadmaps, delivery standards, and business objectives. Key Responsibilities:-Partner with product and engineering teams to support development and execution of portfolio roadmap.-Plan,

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