• Globalstar pioneered personal safety by introducing its SPOT Satellite GPS Messenger in 2007. • Today, leveraging its low-earth orbit (LEO) satellite constellation, Globalstar reliably connects and protects assets, transmits key operational data, and saves lives – from any location – for consumers, industrial companies and government agencies in over 120 countries. • With a portfolio that includes SPOT GPS messengers, next-generation IoT products and modems, and cloud-based telematics solutions, Globalstar’s cost effective satellite-powered innovations give users visibility and intelligence for improving safety and operational efficiencies.

• Provide support and ensure the reliability of datacenter environments • Perform advanced troubleshooting on critical infrastructure • Monitor and ensure the availability of environments • Work with physical servers and administer operating systems • Support high-severity incidents and conduct root cause analysis • Collaborate with Infrastructure, Network, and Security teams • Identify improvements in performance, stability, and observability • Support technical documentation and operational procedures.

Role Description This is a remote position. We are looking for DevOps Engineers to support enterprise cloud and infrastructure delivery programmes focused on CI/CD automation, Kubernetes environments, and Infrastructure as Code. The role focuses on modernising development environments, improving platform reliability, and supporting secure enterprise deployment processes. This is a hands-on engineering position requiring practical experience with Kubernetes, Azure DevOps, automation, scripting, and cloud infrastructure within enterprise-scale environments. - Build and maintain development tools and infrastructure environments - Implement and optimise CI/CD pipelines - Automate development and release processes - Implement Infrastructure as Code solutions based on project requirements - Work with PowerShell and Linux Shell scripting - Support deployment and maintenance of applications on Kubernetes - Identify infrastructure and deployment issues and implement fixes - Ensure environments remain secure and aligned with cybersecurity standards - Work closely with software engineering teams to support stable delivery processes - Support patching, vulnerability remediation and security improvements Qualifications - Minimum 2–3 years of commercial DevOps or infrastructure engineering experience - Strong knowledge of Windows or Linux systems - Experience deploying and maintaining applications on Kubernetes (Helm, Ingress) - Experience with Azure DevOps, TeamCity, Octopus, Ansible, or similar tooling - Practical Infrastructure as Code experience, preferably Terraform - Strong understanding of networking concepts including DNS, Routing, Firewalls, TLS/SSL, Subnets - Experience with patching and vulnerability remediation processes - Knowledge of vulnerability scanning tools such as Veracode, Qualys, Gradar or similar - Experience with cloud environments, preferably Azure, but AWS/GCP also relevant - Scripting experience for automation tasks - Good English communication skills Requirements - Azure, AWS or GCP certifications (Nice to have) - Azure Solution Architect Expert (AZ-305) certification (Nice to have) - Experience with enterprise data pipelines (Nice to have) - Experience in regulated or enterprise environments (Nice to have) Benefits - Solid, competitive salary - Work in multilingual, multinational and multicultural environment on international projects - Comprehensive healthcare - Long-term B2B contract with stable project pipeline - Fully remote work model

Role Description Confluent Cloud processes millions of events per second across AWS, GCP, and Azure. When incidents happen in a multi-cloud streaming platform, they happen at scale—data in motion, exactly-once semantics, and cascading failure modes that require deep systems thinking. We need an expert-level engineer who can drive proactive reliability improvements that prevent these incidents before they occur. This role combines hands-on technical work with strategic program ownership. You'll spend roughly 75% of your time on engineering: - Building automation - Improving tooling - Analyzing systemic failure patterns - Designing reliability improvements The remaining 25% is teaching and coordination: - Coaching teams through post-mortems - Training incident commanders - Evolving our incident response practices You'll be part of a global team with follow-the-sun coverage, with clean handoffs that keep everyone working sustainable hours. Confluent has 800-1000 engineers across highly autonomous teams. This role sits within Cloud Architecture and Reliability - Supportability (CAR-S), a horizontal team that owns reliability standards and tooling across engineering. You're the person who makes us need incident management less. What You Will Do - Proactive Reliability Engineering (~75% of role) - Analyze systemic failure patterns and design improvements that prevent incident recurrence - Define and maintain SLO/SLA frameworks; use error budgets to guide reliability investments - Build tooling and automation to reduce incident response toil and scale team impact - Own Rootly configuration, workflows, and integrations with PagerDuty, Jira, Confluence, and Slack - Analyze reliability data to identify systemic improvements; build dashboards that drive action - Explore AI-assisted approaches to documentation quality and incident analysis - Design scalable reliability standards that reduce reactive workload over time - Incident Management Program (~25% of role) - Own standards, practices, and continuous improvement of incident response - Serve as an on-call Incident Commander for production incidents, including acting as escalation IC when incidents exceed a team's management chain - Develop and deliver training programs for engineering teams at all levels - Coach teams through post-mortems and on developing actionable corrective actions - Customer Root Cause Analysis (CRCA) - Edit and review customer-facing incident documents to ensure quality and clarity - Drive turnaround SLAs while maintaining technical accuracy - Ensure clear explanation of what happened, why, and how we'll prevent recurrence - Cross-Team Leadership - Partner with engineering leaders to elevate reliability practices - Be the expert who teams proactively engage for guidance Qualifications - 10+ years in SRE, incident management, or reliability engineering - Cloud experience with at least one of AWS, GCP, or Azure - Deep expertise with incident management tooling (Rootly, PagerDuty, or similar platforms) - Strong understanding of distributed systems and failure modes at scale—Kafka/event streaming expertise preferred, or demonstrated rapid mastery of complex systems - Deep experience with observability: metrics, logging, tracing—ability to diagnose complex issues - Kubernetes and container orchestration experience - Understanding of CI/CD pipelines and release processes - Systems thinking: understanding how infrastructure design choices affect failure modes and recovery - Familiarity with SLO/SLA frameworks - Track record as a trusted advisor across engineering organizations - Experience driving org-wide process and cultural changes - Strong written communication (design docs, one-pagers, runbooks) - Post-mortem facilitation experience - Experience with async collaboration across time zones - Large company experience navigating reliability/incident programs at 500+ engineer organizations What Gives You an Edge - Multi-cloud experience (minimum 2+ of AWS/GCP/Azure) - Modern CI/CD, GitHub, AI-assisted workflows—you'll have the freedom to build what you need Benefits - Belonging isn’t a perk here. It’s the baseline. - We work across time zones and backgrounds, knowing the best ideas come from different perspectives. - We make space for everyone to lead, grow, and challenge what’s possible. - We’re proud to be an equal opportunity workplace.