• Execute installation, commissioning, startup, and infrastructure validation activities for modular data center deployments • Perform hands-on technical work across electrical, mechanical, controls/BAS, networking, and low-voltage systems • Execute deployment procedures, commissioning plans, operational readiness testing, and infrastructure validation processes • Conduct site assessments and maintain field documentation including commissioning reports, punch lists, and as-built updates • Ensure deployment activities are completed in accordance with Armada operational, engineering, and safety standards • Troubleshoot infrastructure issues across power, cooling, controls, monitoring, and network-connected systems • Read, interpret, and apply electrical schematics, mechanical drawings, and control diagrams during deployment and operational activities • Utilize field diagnostic tools and test equipment to identify and resolve infrastructure issues • Participate in root cause analysis and corrective action implementation during deployment and operational incidents • Exercise independent technical judgment while escalating high-risk or complex issues appropriately • Execute BMS, EPMS, and DCIM integration and validation activities • Support system startup, alarm validation, monitoring verification, and operational turnover processes • Verify infrastructure systems meet operational, performance, and quality requirements prior to deployment completion • Participate in incident response and operational recovery activities as required • Partner with Senior Deployment Engineers, Engineering, Manufacturing, Supply Chain, and Customer Operations teams during deployment execution • Coordinate field activities with vendors, subcontractors, and third-party service providers • Provide operational feedback and field observations that improve deployment quality, repeatability, and infrastructure reliability • Maintain clear communication with internal and external stakeholders throughout deployment activities

• Ensure the availability, reliability, and performance of high-traffic Java-based applications in a distributed environment • Troubleshoot and resolve complex issues across production and non-production environments • Participate in pre- and post-deployment performance testing and monitoring to continuously improve application performance • Design, build, and operate agentic AI workflows that automate operational tasks such as alert triage and root cause analysis

• Ensure the availability, reliability, and performance of high-traffic Java-based applications in a distributed environment. • Troubleshoot and resolve complex issues across production and non-production environments. • Participate in pre- and post-deployment performance testing and monitoring to continuously improve application performance. • Optimize Java application performance with a focus on JVM tuning, efficient resource utilization, and horizontal scaling. • Deploy and manage the Grafana stack (Grafana, Prometheus, Loki, Mimir, Alloy) to deliver real-time monitoring, logging, and alerting. • Implement and refine observability strategies that enhance visibility into application and infrastructure health. • Create and maintain dashboards, alerts, and log queries for comprehensive system health monitoring. • Integrate AI/ML models into the observability pipeline for anomaly detection, predictive alerting, and intelligent alert correlation and noise reduction. • Design, build, and operate agentic AI workflows that automate operational tasks such as alert triage, root cause analysis, runbook execution, and incident summarization. • Develop tool-calling LLM agents that interact with infrastructure APIs (Kubernetes, Grafana, Jira, Slack, PagerDuty) to execute diagnostic and remediation actions autonomously or with human-in-the-loop approval. • Build and maintain MCP (Model Context Protocol) servers and integrations that expose internal systems as tool surfaces for AI agents. • Evaluate, select, and operationalize LLM frameworks and orchestration platforms (e.g., LangChain, LangGraph, CrewAI, n8n, or custom solutions) for production-grade agentic systems. • Implement guardrails, evaluation harnesses, and feedback loops to ensure AI agent outputs are accurate, safe, and continuously improving. • Champion the adoption of AI-assisted development and operations practices across the SRE and broader engineering organization. • Support the operations team’s incident response efforts, conduct post-mortems, and identify root causes to prevent recurrence. • Leverage AI tools to accelerate incident timelines, auto-generate post-mortem drafts, and surface patterns across historical incidents. • Document and share lessons learned, contributing to a culture of continuous improvement. • Identify repetitive operational workflows and engineer AI-augmented or fully automated replacements. • Build self-service tools and chatbot interfaces that allow engineering teams to query system status, retrieve logs, and execute standard operating procedures through natural language. • Measure and report on toil reduction metrics to quantify the impact of automation initiatives. • Work closely with developers, architects, and data/ML engineers to design solutions that improve reliability and leverage AI capabilities. • Collaborate with DevOps and NOC teams to support the application platform. • Communicate SRE practices, AI/automation capabilities, and operational insights to technical and non-technical stakeholders. • Provide feedback on application performance, potential improvements, and observability metrics.

Role Description We are looking for a Senior DevOps Engineer - Multi - Cloud. Qualifications - Experience in DevOps practices and tools. - Strong knowledge of cloud platforms (AWS, Azure, GCP). - Proficiency in scripting and automation. - Experience with CI/CD pipelines. - Familiarity with containerization technologies (Docker, Kubernetes). Requirements - Ability to work in a remote-first environment. - Strong communication skills. - Problem-solving mindset. - Team player with a collaborative approach. Benefits - Flexible hours and remote-first mode. - Competitive compensation. - Complete Hardware/Software setup – anything you need for work. - Open-door culture, transparent communication, and top management at a handshake distance. - Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave. - Access to our learning & development center: workshops, webinars, training platform, and edutainment events. - Virtual team buildings and social activities. Company Description Innovecs is a global digital services company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Collaboration Tech, and Gaming. - Included in the Inc. 5000, the list of fastest-growing private companies in the US. - Ranked as one of the best global outsourcing service providers by IAOP. - Honored with the Global Good Awards for Employee Engagement & Wellbeing. - Won gold at the Employer Brand Management Awards. - Included in the Global Top 100 Inspiring Workplaces Ranking.