Posted today · be early

Senior Site Reliability Engineer

Unifonic

WorldwideremotePosted today

Skill Required

Site-Reliability-EngineeringInfrastructure-EngineeringDevOpsCloud-EngineerProduction-OperationsSenior-Site-Reliability-EngineerSite-Reliability-EngineerSenior-Site-Reliability-Engineering-ArchitectPrincipal-Site-Reliability-EngineerSite-Reliability-Engineering-LeadSite-Reliability-Operations-EngineerSite-Reliability-Engineer-IIDevOps-Site-Reliability-EngineerSite Reliability EngineerSystem AdministrationAWSSystem DesignQuery OptimizationBackup and RecoveryAzureDockerGitHub ActionstroubleshootingMicroservicesObservabilityGCPEngineeringPostgreSQLKubernetesPrometheusanalyticalautomationdevelopingTerraformdesigningRabbitMQsecuritybuildingJenkinsFulltime

Key highlights

8+ years of experience required
Competitive salary and bonus
Unifonic share scheme
On-call night availability is a MUST
30 holiday days after first anniversary
Great Place to Work® certified

Role overview

Unifonic is a dynamic startup in the CPaaS space revolutionizing business communication, consisting of 500 energetic and passionate 'Unifones' serving over 5000 customer-centric companies. The Engineering team designs, develops, and maintains systems and technologies to ensure products meet customer needs through cutting-edge communication and engagement solutions. As a Senior Infrastructure Engineer in the Production Operations (Live) team, you will be part of an elite SRE team responsible for enhancing system reliability, scalability, and resilience, driving continuous improvement across cloud infrastructure and ensuring high performance of distributed messaging platforms.

Responsibilities

Owning the reliability, uptime, and scalability of critical production services 24/7.
Participating in the on-call rotation to respond to incidents, troubleshoot live production issues, and lead post-incident analysis 24/7.
Building robust operational playbooks, escalation paths, and improve Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR).
Ensuring operational excellence by proactively detecting and addressing reliability risks through SLO monitoring, chaos testing, and capacity planning.
Automating operational tasks to minimize human intervention.
Being available at night during the usual non-working hours of the rest of the team according to the on-call schedule.
Architecting, implementing, and managing infrastructure across AWS, Oracle Cloud Infrastructure (OCI), and OpenStack environments.
Optimizing cloud resources to balance performance, security, and cost-efficiency.
Managing Kubernetes clusters (EKS, OKE, Rancher RKE2), ensuring scalability, availability, and robust performance.
Deploying advanced containerization strategies and troubleshooting.
Managing and optimizing high-performance messaging and caching systems including Kafka, RabbitMQ, and Redis.
Ensuring efficient, reliable message and data delivery critical to Unifonic's SMS and distributed systems.
Managing and optimizing production-grade MySQL and PostgreSQL databases.
Ensuring high availability, performance tuning, backups, and recovery processes for critical databases.
Leading the planning and execution of comprehensive disaster recovery strategies.
Developing and maintaining robust business continuity plans.
Implementing advanced observability solutions (Prometheus, Grafana, CloudWatch).
Defining, measuring, and enforcing Service Level Objectives (SLOs) and Service Level Indicators (SLIs) in alignment with SRE best practices.
Proactively identifying issues, minimizing downtime, and enhancing system transparency.
Driving automation initiatives using Terraform, Helm, Jenkins, Tekton or GitLab CI/CD.
Streamlining deployment pipelines and reduce manual intervention through innovative automation.
Integrating security best practices into infrastructure and application layers.
Performing regular audits ensuring compliance and robust security posture.
Collaborating with cross-functional teams (engineering, product, QA) to foster SRE culture.
Mentoring junior engineers, enhancing team capabilities and promoting knowledge sharing.

Requirements

Bachelor's or master's degree in computer science, Engineering, or a related technical field.
8+ years of hands-on production experience in SRE, DevOps, or cloud engineering roles.
Strong expertise in AWS, OCI, OpenStack environments.
Deep understanding of Kubernetes ecosystems (EKS, OKE, Rancher RKE2).
Proven experience with Kafka, RabbitMQ, Redis, and distributed messaging and caching systems.
Solid experience managing MySQL and PostgreSQL in production environments.
Expert-level scripting and automation skills (Python, Bash, Go).
Advanced proficiency with Helm, Terraform, and modern CI/CD toolchains.
Demonstrable experience with Linux system administration and troubleshooting.
Being available at night during the usual non-working hours of the rest of the team according to the on-call schedule is a MUST.
Distributed Systems & Architecture — Scalability, fault tolerance, consistency models, microservices.
Cloud Platforms — Hands-on with Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
Infrastructure as Code — Terraform, AWS CloudFormation.
Containers & Orchestration — Docker, Kubernetes.
CI/CD & Automation — Jenkins, GitHub Actions, GitLab CI.
Observability — Prometheus, Grafana, ELK Stack.
Incident & Reliability — RCA, postmortems, SLIs/SLOs, MTTR reduction.
Analytical thinking and problem-solving – approach problems clearly, use data, and find solutions.
Ownership and accountability – take responsibility and follow projects through to completion.
Communication – explain ideas clearly and listen to others across teams.
Collaboration – work well with others and support team goals.
Adaptability and learning – adjust to change and keep learning new skills or tools.
Mentorship and knowledge sharing – help others grow and share what you know.
Resilience – stay calm under pressure and handle setbacks constructively.
Quality and attention to detail – do work carefully and strive for improvement.
Advocacy and innovation – encourage best practices, efficiency, and new ideas.
AI mindset and utilization – Leverage AI tools to enhance productivity and drive efficient, data-informed outcomes.