Ontrac Solutions

Cloud Engineer

• Optimise GCP cloud spend through rightsizing, autoscaling, workload efficiency, cost allocation, and usage analysis
• Build cost-observability dashboards using Grafana, BigQuery, and billing exports
• Partner with engineering teams to architect cost-efficient solutions
• Operate GKE and multi-cluster Kubernetes platforms, including cluster lifecycle, upgrades, node pools, scaling, ingress, domain routing, secrets, environment variables, and service deployments
• Manage multi-tenant SaaS customer lifecycle infrastructure events
• Own and evolve Terraform provisioning
• Support and optimise GitLab CI/CD rollout pipelines
• Automate customer provisioning and environment configuration
• Operate platform services and observability tooling including VictoriaMetrics, StatsD, Grafana, Google Cloud Monitoring, Elasticsearch/OpenSearch, and Apache Airflow
• Troubleshoot distributed systems and production incidents
• Provision and decommission instances, map domains, and support infrastructure across providers including Hetzner
• Participate in an on-call rotation
• Use AI-assisted tools and agent-based development workflows to accelerate infrastructure development, automate runbooks, and improve CI/CD and distributed-systems debugging

Strategic Cloud Engineer – GCP Platform, FinOps

DevOps Engineer

• Participate in an on-call rotation responding to production availability incidents and support service engineers with customer incidents
• Use on-call shifts to prevent incidents from recurring
• Operate infrastructure with Ansible, Puppet, Terraform, and Kubernetes
• Build monitoring and alerting focused on symptoms rather than outages
• Document actions and convert findings into repeatable procedures and automation
• Improve the deployment process
• Design, build, and maintain core infrastructure scaling to hundreds of thousands of concurrent users
• Debug production issues across services and stack levels
• Plan infrastructure growth
• Code infrastructure automation with Ansible and Terraform
• Improve Prometheus monitoring and build new metrics
• Help release managers deploy and fix new application versions
• Plan and execute migration from AWS virtual machines to cloud-native, container-based Kubernetes deployments on EKS
• Develop relationships with product groups and define SRE KPIs

Site Reliability Engineer

• Convert standard operating procedures into automation routines
• Optimize the daily efficiency of systems and cloud management
• Build automation runbooks for the cloud engineering team
• Support core systems management, advanced Windows server management at scale, and SaaS application platforms
• Work across a portfolio of products, technologies, data sets, and operational problems
• Participate in an on-call pager rotation

Cloud Engineer – Windows, Linux Platform Automation

Support Engineer

• Isolate, troubleshoot, and resolve customer issues to a satisfactory outcome.
• Guide customers on best practices for setup/configuration to achieve desired results.
• Analyze legacy practices/data and configure appropriately in new environments.
• Conduct customer reviews prior to release to confirm acceptance of data/configuration.
• Maintain accurate activity records and timely updates for reporting and (where applicable) billing.
• Improve and contribute to knowledge articles and support processes (including ServiceNow incident management enhancements).
• Manage escalations, defect/problem resolution, and ensure crisp handoffs across teams (Incident Managers, Engineers, Account Management).
• Act as a trusted ambassador in customer interactions; collaborate with partners and internal workgroups.

Senior Google Workspace Support Engineer

• Build and manage GCP infrastructure across core services including Compute, networking, IAM, storage, and GKE.
• Support and execute migrations from on-premises or multi-cloud environments into GCP, including lift-and-shift and replatforming strategies.
• Implement and maintain infrastructure using Terraform to ensure repeatable, scalable, and production-ready deployments.
• Troubleshoot infrastructure and application performance issues while identifying opportunities to improve reliability, efficiency, and cloud cost management.
• Partner with engineering, DevOps, and client stakeholders to ensure successful delivery across the full project lifecycle.

GCP Cloud Platform Engineer

Architect

• Prepare, revise, and maintain architectural drawing packages and store layouts
• Support high-volume retail planning initiatives across multiple concurrent projects
• Update test fits, fixture plans, and layout documentation based on evolving business requirements
• Review consultant drawing sets for quality, completeness, and alignment with established standards
• Execute markups and revisions using Bluebeam Revu and related collaboration tools
• Coordinate with internal stakeholders and external consultants to resolve design and documentation issues
• Incorporate redlines, comments, and revisions efficiently within aggressive delivery timelines
• Ensure drawing packages remain accurate, organized, and code compliant
• Support internal store planning and architectural leadership teams in maintaining execution velocity

Architectural Designer – Retail Store Planning

Backend Engineer

• Support a critical customer engagement focused on application and platform modernization.
• Lead modernization efforts and breaking down monolithic architectures into container-based services on GCP.
• Work closely with engineering managers and customer stakeholders to ensure project success from initial definition through final delivery.
• Drive application and platform modernization across internal network-automation services.
• Drive language and library upgrades (Python 3.11+, PHP 8.4.x, OpenSSL), own design and reviews, and mentor junior developers.
• Build and extend metrics paths as the platform moves from a legacy metrics system to Chronosphere, Prometheus, and Grafana.
• Collaborate with product engineers on OS and package shifts and cloud migrations, owning feature delivery in support of the broader digital transformation.
• Collaborate with cross-functional teams, including product managers, designers, and other engineering teams, to define requirements and drive technical solutions.
• Drive the adoption of best practices for software development, including testing, code reviews, and continuous integration and delivery.
• Troubleshoot and debug complex issues across the distributed system, identifying root causes and implementing effective solutions.

Staff/Senior Software Engineer, Python/PHP

Network Engineer

• Support a critical customer engagement focused on hybrid cloud networking, network automation, and infrastructure reliability.
• Work closely with cloud platform engineering team and customer stakeholders to ensure project success from initial definition through final delivery.
• Troubleshooting complex routing, DNS, and load balancing issues.
• Building and managing infrastructure via Terraform.
• Designing secure network architectures, including segmentation and firewall policies.
• Automating repetitive tasks to improve overall system reliability.

Staff/Senior Network Engineer, GCP

QA Engineer

• Support a critical customer engagement as a Senior/Staff QA Engineer.
• Own quality end-to-end for a fast-moving agentic AI product.
• Work closely with the Delivery Lead/Solutions Architect and customer engineering stakeholders to ensure product quality from initial test planning through final release.

Senior/Staff QA Engineer – Agentic AI Platform

Infrastructure Engineer

• Support a critical customer engagement focused on edge infrastructure, consent and privacy compliance, and global system reliability
• Collaborate closely with the program manager and customer stakeholders to ensure project success from initial definition through final delivery
• Maintain full technical ownership of the customer’s cookie and consent management plugin, including its deployment, performance, and stability across all consuming properties
• Formalize and drive the technical roadmap and operational excellence for the system, leading the design and architecture of medium-to-large components and driving cross-team standardization
• Serve as the technical lead for high-risk, cross-functional consent and compliance rollouts that directly impact advertising revenue and legal requirements
• Lead strategic initiatives such as third-party CDN proofs of concept to establish repeatable architectural patterns for the customer’s edge organization
• Establish system guardrails and improve core system quality, including comprehensive automated test coverage and platform-agnostic testing frameworks to eliminate critical regressions and ensure service stability
• Translate complex technical and legal requirements across privacy, legal, and advertising teams, and provide mentorship and guidance to peers and dependent teams
• Translate ambiguous, high-level business and compliance needs into reliable, globally-deployed system solutions

Senior Software Development Engineer – Edge Infrastructure

Production Engineer

• Supporting a critical customer engagement focused on OS modernization, infrastructure hardening, packaging migration, automation, and production reliability.
• Leading complex OS modernization efforts, configuration management migrations, and infrastructure hardening initiatives.
• Executing hands-on runbooks, automation, incident response, and service onboarding.
• Working closely with SRE, platform engineering, application development teams, and customer stakeholders to ensure project success from initial planning through final delivery.

Senior Production Engineer

Full-stack Engineer

• Act as the primary platform Administrator, Consultant, and Trainer for the BigPanda ecosystem, steering its long-term roadmap and maturity.
• Design and maintain seamless ingestion pipelines from Google Cloud Platform (GCP) telemetry streams (including GCP Cloud Monitoring/Logging) into the BigPanda correlation platform.
• Own the end-to-end observability lifecycle, explicitly driving strategy for high-scale data ingestion, normalization, deduplication, correlation, and enrichment across enterprise cloud ecosystems.
• Architect seamless integrations between BigPanda, incoming monitoring systems (like Moogsoft, Netcool, Dynatrace), and downstream ITSM ticketing/incident response workflows.
• Apply advanced AIOps concepts to reduce alert fatigue, drastically lower Mean Time to Resolution (MTTR), and automate root-cause analysis.
• Lead training sessions and strategy workshops for cross-functional engineering teams, utilizing a clear, confidence-inspiring "whiteboard approach" to explain complex data relationships.

Senior BigPanda Engineer – AIOps Subject Matter Expert

• Architect, optimize, and maintain observability frameworks across cloud environments, with a specific focus on implementing Google Cloud Platform (GCP) observability tools (Cloud Logging, Cloud Monitoring, Trace, and Profiler).
• Design, deploy, and maintain robust observability stacks across hybrid ecosystems, utilizing Prometheus, Grafana, and cloud-native integrations.
• Drive infrastructure-as-code (IaC) initiatives using Terraform and Ansible to ensure consistent, automated deployments of infrastructure and observability tooling.
• Build, maintain, and optimize deployment workflows within Kubernetes and Google Kubernetes Engine (GKE) / OpenShift environments using GitHub, Harness, and other CI/CD pipelines.
• Deeply analyze Linux/Unix system administration architectures, optimizing compute resource metrics and performance tuning across complex, distributed environments.
• Implement SRE best practices, establishing meaningful Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets to ensure platform reliability.