Role Description Für unseren Kunden aus der Transportbranche in Bern, suchen wir eine:n erfahrene:n, motivierte:n und aufgeschlossene:n Senior DevOps Engineer AWS. - Betrieb, Betreuung und kontinuierliche Weiterentwicklung der DevOps-Toolchain (u. a. Bitbucket, Artifactory, Jenkins und Docker) - Entwicklung und Wartung von Infrastructure-as-Code-Lösungen mit AWS CDK und TypeScript - Entwicklung von AWS-Lambda-Funktionen und cloudbasierten Automatisierungslösungen - Aufbau, Betrieb und Optimierung von modernen CI/CD- und GitOps-Pipelines - Bereitstellung und Weiterentwicklung automatisierter Release- und Deployment-Pipelines inklusive Auditierung - Sicherstellung von kontinuierlichen Updates und Deployments mit minimalen oder keinen Ausfallzeiten - Betrieb und Weiterentwicklung von AWS-Infrastrukturen mit Fokus auf EC2-, VPC- und Auto Scaling Group (ASG)-Architekturen - Monitoring und Performance-Überwachung der Systeme - Beratung und Unterstützung agiler Entwicklungsteams bei der Nutzung der Infrastruktur- und Softwarelösungen - Mitarbeit in agilen Teams nach Scrum und Kanban - Gelegentliche Übernahme von Pikettdiensten (Rufbereitschaft) Qualifications - Mehrjährige Erfahrung als DevOps Engineer, System Engineer oder in einer vergleichbaren Funktion - Sehr gute Kenntnisse im Umgang mit Git sowie modernen Branching- und Pull-Request-Konzepten - Fundierte Cloud-Kenntnisse sowie langjährige praktische Erfahrung mit AWS - Sehr gute Kenntnisse in AWS-Architekturen, insbesondere EC2, VPC und Auto Scaling Groups - Sehr gute Kenntnisse im Bereich Shell Scripting - Erfahrung im Software Engineering mit TypeScript - Erfahrung im Aufbau und Betrieb von CI/CD-Umgebungen - Kenntnisse in Prometheus und Grafana von Vorteil - Erfahrung in der Zusammenarbeit mit verteilten bzw. Remote-Teams - Teamorientierte Persönlichkeit mit Freude an der Zusammenarbeit in agilen Umfeldern - Verhandlungssichere Deutschkenntnisse zwingend, gute Englischkenntnisse Company Description Die Coopers Group AG ist eine agile Schweizer Recruiting Agentur, die Spezialisten und Führungskräfte in den Bereichen IT, Life Sciences, Engineering und Finance vermittelt. Mit flexiblen Ansätzen bringen wir Kandidat:innen und Unternehmen zusammen, die nicht nur fachlich, sondern auch menschlich zusammenpassen.

Role Description Tabby builds financial products used by millions of users across the GCC. Our services run on large-scale cloud infrastructure and must meet strict requirements for reliability, security, and regulatory compliance. This internship is not educational by default. It is an engineering role with real responsibility. Key Responsibilities - Work on the runtime and development platforms that power all product teams. - Manage cloud infrastructure, Kubernetes platforms, CI/CD pipelines, observability, and security foundations. - Grow as infrastructure and platform engineers by being embedded into real DevOps teams. - Work with production systems and meet engineering standards from day one. Qualifications - Strong fundamentals in Linux and operating systems. - Understanding of basic networking concepts (TCP/IP, HTTP, DNS). - Basic understanding of cloud platforms and distributed systems. - Familiarity with containers and Kubernetes concepts. - Ability to read and understand infrastructure and service configurations. - Basic scripting or programming skills. - Experience with Git and standard development workflows. - Structured thinking and attention to reliability. - Open to constructive feedback. - English sufficient for documentation and team communication. - Hands-on experience with Kubernetes. - Experience with any public cloud (GCP, AWS, or Azure). - Familiarity with CI/CD systems. - Experience with infrastructure-as-code tools. - Basic understanding of observability and monitoring. - Interest in security, reliability, and platform engineering. - Expert-level knowledge of Linux, Kubernetes, or any specific cloud platform. - Prior professional DevOps, SRE, or platform engineering experience. - Mastery of all listed tools, IaC frameworks, or CI/CD systems. - Deep knowledge of distributed systems, networking internals, or production reliability practices. - Saudi nationals only. Requirements - Self-funded internship by Tabby. - Full-time level of engagement throughout the internship. - Flexibility for classes or exams can be aligned with the mentor in advance. Benefits - Paid internship. - Full integration into an engineering team. - Distributed engineering team across multiple countries. - Location flexible — candidates may be based outside KSA. - Office-first in Riyadh where possible. - Clear path to a junior DevOps or platform engineer role based on performance. - This internship is intentionally demanding and designed for candidates aiming for fast professional growth in DevOps and platform engineering.

Role Description You'll connect with the role if you enjoy... - supporting and developing our AWS cloud infrastructure (EC2, Docker, MongoDB, ElasticSearch, Redis) - working with the team on our primary goals: high availability, scalability, security and performance - managing Kubernetes infrastructure and Linux-based EC2 instances - solving complex technical problems with clean, sustainable solutions - taking over some tasks in security management and monitoring - supporting our build management/deployment (GitLab, Maven, Docker) - taking care of the development and optimisation of the CI/CD pipelines together with our developers Our current tech stack in the SRE team is: - Infrastructure: Kubernetes, AWS, ArgoCD, Terraform, HAProxy, GitLab CI - Data storage and querying: MongoDB, Redis, Elasticsearch - Monitoring and performance tools: Prometheus, Datadog Qualifications - professional experience as a Site Reliability Engineer or a similar role - scripting skills in at least one of the following languages: Bash, Python, Go - in-depth knowledge of Linux and Networking - in-depth knowledge of the following technologies: Kubernetes, AWS or GCP, Continuous Integration, GitLab - a good command of written and spoken technical English - willingness to take part in on-call rotations - a running or completed education in the field of computer science or engineering - some experience with system monitoring platforms (e.g. Prometheus, Datadog) Benefits - Our remote-first culture lets you work remotely from one of our designated countries - Flexible working hours to suit your schedule and priorities - Annual personal development budget to invest in conferences, courses, or career coaching - Home office allowance to create a workspace that fits your needs - Regular events and trips to connect, celebrate, and have fun with the team - Workations of up to 90 days per year within the EU, combining travel and productivity - Wellbeing support, including mental health resources and employee assistance programs - Additional country-specific benefits based on your location

Title: Site Reliability Engineer Location: San Francisco (Hybrid) Engineering San Francisco (Hybrid) Share on: Department: Engineering Job Description: About the role We’re hiring a Site Reliability Engineer (SRE) to ensure the reliability, performance, and scalability of Plenful’s production systems as we continue to grow. This role is centered on operating real systems at scale — not just building infrastructure, but deeply understanding how it behaves under load, fails in production, and recovers. You’ll define reliability standards, own production health, and build the feedback loops that make our systems more resilient over time. You’ll work closely with backend, data, and ML engineers to ensure our platform is highly available, measurable, and continuously improving. This includes everything from incident response and performance debugging to SLO design and system-level optimization. What You’ll Do Reliability Engineering & System Ownership - Define and implement SLIs, SLOs, and error budgets across core services - Own production system health, including uptime, latency, and availability targets - Continuously improve system resilience through proactive reliability work - Identify and mitigate single points of failure across distributed systems Production Operations & Incident Response - Participate in and improve on-call rotations and incident response processes - Lead incident triage, mitigation, and resolution in real time - Conduct blameless postmortems and ensure follow-through on action items - Build tooling and automation to reduce MTTR (Mean Time to Recovery) Observability & System Insight - Design and evolve observability systems across: - - Metrics, logs, and distributed tracing (OpenTelemetry) - Tooling including Datadog, CloudWatch, Grafana, Sentry - Improve signal quality to reduce noise and alert fatigue - Develop dashboards and alerts that reflect real system health and user impact - Use observability data to drive performance and reliability improvements Performance & Scalability - Analyze system performance under load and identify bottlenecks - Optimize latency, throughput, and resource utilization across: - - Serverless systems (AWS Lambda) - Containerized services (ECS) - Data systems (Aurora Postgres, ClickHouse) - Partner with engineering teams to improve system efficiency and scaling behavior Automation & Reliability Tooling - Build automation to eliminate repetitive operational work - Improve deployment safety through reliability checks and safeguards - Contribute to CI/CD pipelines (GitHub Actions) with a focus on system stability - Develop tools for: - - Incident response - Debugging - Capacity planning Security, Compliance & Operational Maturity - Partner with security and compliance to ensure systems meet operational standards - Support audit readiness and reliability-related compliance requirements (Vanta) - Integrate monitoring and alerting into security and SIEM workflows - Help mature operational practices across the engineering team Environment & Technical Context You’ll work across a modern distributed stack: - Cloud: AWS (ECS, Lambda, RDS Aurora Postgres, CloudWatch) - Infrastructure: Terraform, Ansible, Linux - CI/CD: GitHub Actions - Observability: Datadog, Grafana, CloudWatch, OpenTelemetry, Sentry, pganalyze - Data Systems: Postgres, ClickHouse - Security & Compliance: Vanta, SIEM tooling - Product & Analytics: Amplitude - ML/Platform Infra: TrueFoundry What Success Looks Like - Clear, enforced SLOs and error budgets across critical systems - Incidents are well-managed, rare, and decrease over time - Engineers have high-confidence signals about system health - Alerts are actionable, not noisy - Systems scale predictably under load without degradation - Postmortems lead to real, measurable improvements - Reliability is treated as a shared engineering responsibility, not a reactive function Ideal Background Must Have - 5+ years in Site Reliability Engineering, SRE-adjacent roles, or production infrastructure - Strong experience operating and debugging distributed systems in production - Hands-on experience with: - - Observability tooling (Datadog, Grafana, OpenTelemetry, etc.) - Incident response and on-call practices - Performance and reliability debugging - Experience defining and working with SLOs / SLIs / error budgets - Familiarity with: - - AWS environments - Serverless and container-based architectures - Postgres or similar relational databases - Ability to write code/scripts (Python, Bash, etc.) for automation and tooling - Strong systems thinking and ability to reason about failure modes Nice to Have - Experience in high-growth or high-scale environments - Background in regulated industries (healthcare, fintech) - Experience with ClickHouse or analytical systems at scale - Familiarity with chaos engineering or load testing frameworks - Exposure to ML infrastructure or data platforms Plenful perks - Comprehensive Benefits Package: Enjoy unlimited PTO, fully covered health insurance (medical, dental, and vision), meal stipend, health & wellness stipend, 401(k) matching, and stock options. - Mission-Driven, World-Class Team: Join an exceptional group of professionals aligned around a meaningful mission and committed to making an impact. - Opportunities for Growth: Strengthen your partnership expertise through collaboration with experienced, high-performing leaders across the organization. - Flexible Work Environment: Employees based in the Bay Area enjoy two days per week in a brand-new downtown San Francisco office. Employees based in other cities enjoy a fully remote work environment with the ability to travel for collaboration.