Ontrac Solutions

• 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.

• 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.

Role Description We are looking for a Senior BigPanda Engineer and AIOps subject matter expert with over 5 years of dedicated platform experience. This position requires a rare blend of deep technical administration, strategic consulting, and mentorship capability. You will serve as the chief architect of our event correlation engine, transforming high-volume telemetry data from multi-cloud environments and hybrid monitoring systems into actionable, automated operational insights. Key Responsibilities - Platform Ownership: Act as the primary platform Administrator, Consultant, and Trainer for the BigPanda ecosystem, steering its long-term roadmap and maturity. - GCP Data Ingestion: Design and maintain seamless ingestion pipelines from Google Cloud Platform (GCP) telemetry streams (including GCP Cloud Monitoring/Logging) into the BigPanda correlation platform. - Lifecycle Architecture: Own the end-to-end observability lifecycle, explicitly driving strategy for high-scale data ingestion, normalization, deduplication, correlation, and enrichment across enterprise cloud ecosystems. - ITSM & Tool Integration: Architect seamless integrations between BigPanda, incoming monitoring systems (like Moogsoft, Netcool, Dynatrace), and downstream ITSM ticketing/incident response workflows. - AIOps Strategy: Apply advanced AIOps concepts to reduce alert fatigue, drastically lower Mean Time to Resolution (MTTR), and automate root-cause analysis. - Mentorship & Enablement: Lead training sessions and strategy workshops for cross-functional engineering teams, utilizing a clear, confidence-inspiring "whiteboard approach" to explain complex data relationships. Qualifications - BigPanda Expertise: 5+ years of hands-on experience spanning the lifecycle of BigPanda implementation, configuration, and day-to-day administration. - GCP Exposure: Practical experience working with Google Cloud Platform (GCP) monitoring frameworks and understanding how cloud-native events map to correlation engines. - Monitoring Ecosystem: Solid foundational experience with enterprise monitoring and APM tools such as Moogsoft, Netcool, and Dynatrace. - AIOps & ITSM: Deep conceptual and practical understanding of algorithmic event correlation, alert noise reduction, and modern ITSM processes. - Communication: Exceptional verbal and visual communication skills, with a proven ability to map out complex technical workflows on the fly. Benefits - Ontrac Solutions has partnered with PinpointVerify to help genuine applicants rise above the noise. - Qualified candidates are prioritized over non-verified candidates with comparable experience. - If you're hired, Ontrac reimburses the full cost of your verification.

Role Description We are seeking a highly skilled and experienced Senior Network Engineer to support a critical customer engagement focused on hybrid cloud networking, network automation, and infrastructure reliability. This role is ideal for an experienced network engineer who is proficient in cloud. The successful candidate will work closely with the cloud platform engineering team and customer stakeholders to ensure project success from initial definition through final delivery. Qualifications - Hands-on experience with Google Cloud networking, including: - VPC - VPN - Interconnect - Load balancing - Firewall policies - Advanced Terraform skills, including module design/refactoring and JSON-driven hydration module work. - Familiarity with Azure networking, especially VNet management. - Google Cloud and networking certifications, named with dates. - Experience designing or operating hybrid (on-premise to cloud) network architectures. Requirements - Good understanding of Azure networking (especially VNet management). - Extensive experience with Google Cloud networking (VPC, VPN, Interconnect, load balancing, firewall policies). - Advanced expertise in Terraform, specifically with the ability to build and refactor JSON-driven hydration modules. - Proven ability to design, implement, install, maintain, and administer infrastructure systems (hardware, software, and configurations). - Proactive performance monitoring, issue identification, and root cause analysis on failed components. Benefits - Applicants who complete verification are prioritized over non-verified candidates with comparable experience. - If hired, Ontrac reimburses the full cost of your verification. Scope and Solution Expectations The contractor is expected to design and operate hybrid networking architectures that bridge on-premise environments with Google Cloud. Key responsibilities include: - 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.

• Use your knowledge and experience together with the team to develop new state-of-the-art solutions • Participate in the refinement and planning of the work done by your scrum team • Demonstrate solutions to customers and senior leadership • Contribute to the continuous improvement of the product development processes • Develop yourself by researching new concepts and ideas and expand your knowledge of programming languages

• Ensure the quality and reliability of software products through both manual and automated testing • Design, implement, and maintain effective test plans and test cases • Automate repeatable scenarios using the Cucumber test automation framework • Develop and execute test cases and scripts for web applications • Conduct functional, regression, and integration testing • Collaborate closely with developers, product managers, and Agile teams to ensure quality is embedded throughout the software development lifecycle • Identify, document, and track defects through to resolution in close cooperation with development teams • Maintain clear, up-to-date test documentation and report test outcomes effectively • Participate in code reviews and contribute to the evolution of QA best practices

• Own end-to-end Annual Recurring Revenue (ARR) reporting, including monthly reporting, forecasting, and variance analysis • Analyze key drivers of ARR performance (new logo, expansion, contraction, churn, and FX impacts) • Partner with Sales Ops, RevOps, and Accounting to ensure ARR data accuracy and consistency • Maintain and enhance ARR models and reporting tools for efficiency and accuracy • Build high-quality reporting packages for internal leadership and board members

Innovate. Create. Elevate. Ontrac Solutions is a strategic consulting and technology partner helping organizations innovate, create, and elevate through modern digital solutions. We support our clients with product development, cloud consulting, automation, data solutions, and staff augmentation by connecting them with high-quality talent ready to make an immediate impact. We are currently hiring on behalf of one of our clients for a Senior Python Engineer to support a critical customer engagement. Position Overview We are seeking a highly skilled and experienced Senior Python Engineer to join a fast-moving engagement supporting enterprise-level software initiatives. This role is ideal for an engineer with deep Python expertise, strong software engineering fundamentals, and a clear understanding of the software development lifecycle within enterprise-grade environments. The ideal candidate will be comfortable working across application, system, and runtime layers, and will bring a practical understanding of Linux, networking, software delivery pipelines, and debugging in production environments. This individual will work closely with customer stakeholders and technical teams to help deliver reliable, maintainable, and production-ready solutions from initial definition through final delivery. Required Credentials - 5+ years of software engineering experience, ideally within enterprise-grade organizations - Bachelor’s degree in Engineering, Computer Science, Information Technology, or equivalent practical experience Required Qualifications - 5+ years of professional software engineering experience with strong hands-on Python development - Expert-level proficiency in Python, including writing clean, maintainable, well-tested, and production-ready code - Experience reading, understanding, and making minor modifications to Perl code - Strong understanding of networking fundamentals and how network behavior impacts the software development lifecycle - Strong understanding of software delivery pipelines and the full deployment lifecycle, including build, test, release, and production workflows - Strong understanding of Linux environments and debugging techniques, with the ability to diagnose and resolve complex issues across application, system, and runtime layers - Ability to work effectively in enterprise environments with an emphasis on reliability, automation, and operational readiness Preferred Qualifications - Relevant security certifications such as CISM, CISSP, or CEH - Experience with monitoring, telemetry, and alerting tools such as Prometheus, Grafana, or ELK-based stacks - Familiarity with packet filtering and host-based firewall technologies such as iptables or IPFW - Working knowledge of modern data formats including JSON, YAML, and XML Scope of Work / Delivery Expectations This role will be responsible for delivering end-to-end software solutions that are reliable, maintainable, and production-ready. The engineer will be expected to apply deep Python expertise, strong programming fundamentals, and defensive coding practices to build systems that perform effectively in real-world enterprise environments. This individual should demonstrate strong ownership across the full software lifecycle, including: - Solution design - Development - Testing - Deployment - Post-release support Successful delivery in this role will require a solid understanding of Linux, networking, debugging, and software delivery pipelines, along with the ability to identify root causes, resolve complex technical issues, and continuously improve system quality, resilience, and operational performance. Why Join Ontrac Solutions At Ontrac Solutions, we work closely with our clients to solve meaningful business and technology challenges. We pride ourselves on pairing strong talent with impactful opportunities where they can contribute quickly and effectively. If you are a senior engineer who enjoys solving complex problems, working in enterprise environments, and delivering high-quality solutions, we’d love to hear from you.

About Ontrac Solutions Ontrac Solutions is a leading technology consulting firm, specializing in cutting-edge solutions that drive business transformation. We partner with organizations to modernize their infrastructure, streamline processes, and deliver tangible results. By creating value beyond the hype, we help businesses modernize technology and build new strategies that fuel growth. Our team is committed to innovation, collaboration, and excellence, empowering our clients to succeed in an evolving digital landscape. The Role We are seeking an experienced GCP Cloud Platform Engineer to support our client on a critical cloud infrastructure initiative. This role is ideal for a hands-on engineer with strong migration experience who can work independently to build, manage, and optimize production-ready infrastructure in Google Cloud Platform. The ideal candidate will bring a strong foundation in GCP infrastructure, cloud migrations, Linux, networking, and Infrastructure as Code. You will work closely with internal engineering teams and client stakeholders to support projects from initial definition through final delivery, ensuring scalable, secure, and reliable cloud environments. Key Responsibilities Cloud Infrastructure Delivery: Build and manage GCP infrastructure across core services including Compute, networking, IAM, storage, and GKE. Migration Execution: Support and execute migrations from on-premises or multi-cloud environments into GCP, including lift-and-shift and replatforming strategies. Infrastructure as Code: Implement and maintain infrastructure using Terraform to ensure repeatable, scalable, and production-ready deployments. Performance & Cost Optimization: Troubleshoot infrastructure and application performance issues while identifying opportunities to improve reliability, efficiency, and cloud cost management. Cross-Functional Collaboration: Partner with engineering, DevOps, and client stakeholders to ensure successful delivery across the full project lifecycle. What We Are Looking For Experience Cloud Infrastructure / DevOps: 6-8+ years of experience in cloud infrastructure, platform engineering, or DevOps. GCP Expertise: 4-6+ year of proven hands-on experience working with GCP in production environments, with a strong understanding of Compute Engine, VPC, IAM, and storage. Migration Experience: Experience executing cloud migrations from on-premises or multi-cloud environments into GCP. Independent Execution: Ability to work independently in a contract or client-facing delivery environment. Technical Skills Infrastructure as Code: Strong experience with Terraform preferred. Containers & Kubernetes: Exposure to Docker and Kubernetes, including GKE, is highly valuable. Linux & Networking: Solid Linux systems knowledge and strong networking fundamentals. Automation & Scripting: Experience with CI/CD pipelines, infrastructure automation, and scripting in Python or Bash. Monitoring & Optimization: Familiarity with monitoring, logging, and cloud cost optimization best practices. Hybrid / Multi-Cloud Exposure: Experience working across hybrid or multi-cloud environments is a plus. Required Credentials GCP Certification: Relevant Google Cloud certification required. Production GCP Experience: Demonstrated experience working with GCP in live production environments. What We Offer Competitive Compensation: Compensation will be commensurate with experience. Our Commitment to Diversity and Inclusion At Ontrac Solutions, diversity is at the core of our success. We are committed to fostering an inclusive environment where employees feel valued and empowered to bring their unique perspectives. We are proud to be an equal-opportunity employer and encourage applicants from all backgrounds to apply. How to Apply Please submit your resume and our hiring team will be in touch. I can also turn this into a more polished job-board version with a stronger opening and tighter language if you want.

• 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.