• Build and maintain infrastructure for development and CI/CD • Automate workflows with Python, Go, Bash, and YAML • Develop and operate internal tooling and platforms • Improve deployment, testing, and release automation • Provide and manage data for engineering and analysis

• Design, build, and maintain AWS cloud infrastructure using Infrastructure as Code tooling (Terraform or equivalent), ensuring consistency, repeatability, and version control. • Manage and improve Kubernetes platforms (EKS or similar), including cluster configuration, scaling, upgrades, and reliability. • Build, maintain, and improve CI/CD pipelines to support fast, reliable software delivery across development teams. • Monitor platform health and performance, respond to incidents, and drive root cause analysis and resolution to maintain high availability. • Automate operational processes and repetitive tasks to reduce toil and improve team efficiency. • Implement and maintain cloud security best practices including IAM policies, network security, secrets management, and vulnerability scanning. • Support development teams with platform tooling, onboarding to infrastructure services, and resolving environment-level issues. • Manage container image pipelines and registry, including security scanning and lifecycle management. • Maintain clear and up-to-date documentation of infrastructure, processes, runbooks, and architectural decisions. • Contribute to cost monitoring and optimisation across cloud services, identifying inefficiencies and recommending improvements.

Role Description The ideal candidate for the Junior Remote DevOps / Site Reliability Engineer (SRE) role is a recent graduate or an early-career professional with up to 2 years of experience and a strong interest in cloud infrastructure, automation, and system reliability. The candidate will work alongside experienced engineers to build and maintain scalable infrastructure, support CI/CD pipelines, automate operational tasks, and help ensure the reliability and performance of cloud-based services running on AWS. - Design, deploy, and maintain scalable AWS environments using Terraform for Infrastructure as Code (IaC). - Build and manage CI/CD pipelines to automate testing, code reviews, and deployments using tools like Jenkins, GitLab CI. - Develop systems in Python (or Go) to streamline operational tasks and improve system performance. - Work on containerized environments using Docker and orchestrate them with ECS/Fargate. - Collaborate with development teams to integrate automation and deployment best practices. - Ensure high reliability and availability of cloud-based services by implementing robust monitoring, logging, and alerting systems with tools like DataDog, Grafana, CloudWatch, and ELK. - Optimize system performance and troubleshoot issues to reduce downtime and enhance system scalability. - Design and implement disaster recovery and backup strategies for critical infrastructure. - Improve incident response processes to minimize resolution times and ensure operational excellence. - Integrate security best practices into DevOps workflows, focusing on IAM, encryption, and secure pipelines. Qualifications - Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field is required. - Fresh graduate or up to 2 years of experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or a similar technical role. Internship or academic project experience with AWS or DevOps tools is a plus. - Basic understanding of CI/CD pipelines, Infrastructure as Code (IaC), and containerization technologies. - Eagerness to learn, strong problem-solving skills, and a passion for cloud technologies and automation. Requirements - Basic proficiency in Python (Go experience is a plus). - Familiarity with AWS services such as EC2, S3, RDS, and Lambda through coursework, internships, or personal projects. - Basic knowledge of Terraform or willingness to learn Infrastructure as Code concepts. - Exposure to monitoring and logging tools such as DataDog, Grafana, CloudWatch, or ELK is a plus. - Basic understanding of Docker and containerization concepts. Exposure to Kubernetes is a plus. - Familiarity with Git for source code management and collaboration. - Excellent communication, teamwork, and willingness to learn in a fast-paced environment.

Role Description We are seeking a skilled DevOps Engineer to enhance our development and operational processes. You will drive automation, streamline CI/CD pipelines, and manage containerized applications using Docker and Kubernetes. A strong foundation in scripting, cloud technologies (Azure, AWS, or GCP), and networking fundamentals will enable you to build resilient and scalable infrastructure while ensuring seamless application delivery and support. Responsibilities - Cloud Infrastructure (Azure) - Design, provision, and maintain Azure infrastructure using Bicep/Terraform — modular, parameterized, environment-aware - Manage AKS clusters: node pools, upgrades, RBAC, network policies, CNI (Azure CNI / Overlay), ingress (NGINX/AppGW), HPA, pod security standards - CI/CD & Automation - Author and maintain multi-stage Azure Pipelines (YAML) with reusable templates, variable groups, environments, and approval gates - Write PowerShell automation for provisioning, release rollout, and environment management (non-negotiable) - Security & Compliance - Triage and remediate CVEs; track and close VAPT findings within agreed SLAs - Apply pod security standards, network policies, and least-privilege RBAC across Kubernetes namespace - Observability & Reliability - Build and maintain KQL-based alerts, dashboards, and workbooks in Log Analytics - Manage Prometheus + Grafana stacks for Kubernetes workload observability - Docker & Container Management - Author optimized multi-stage Dockerfiles; enforce image size and vulnerability standards - Manage image lifecycle in ACR (tagging strategy, retention policies, geo-replication) Nice to Have - MLOps experience: vLLM deployment on Azure ML, LoRA adapter management, LiteLLM proxy configuration - Familiarity with AI/ML model gateway patterns (OpenAI - compatible APIs, model routing) Qualifications - Graduate/Master's degree in Computer Science, Engineering, or related discipline - Ability to manage and prioritize multiple tasks while working both independently and within a team Requirements - 2+ years of experience in DevOps - Azure — AKS, Azure DevOps (Pipelines, Repos, Boards), Key Vault, ACR, Monitor, Log Analytics, App Configuration - Kubernetes — workload deployment, RBAC, network policies, ingress, HPA, pod security, troubleshooting - Docker — multi-stage builds, image optimization, registry management - Bicep / Terraform — authoring modular, parameterized IaC; ARM comprehension at minimum - Azure Pipelines — multi-stage YAML, templates, variable groups, environments, approval gates - PowerShell — release automation, provisioning scripts (non-negotiable); Bash for Linux containers - Security (critical) — container image scanning (Trivy/Veracode/Defender), CVE triage and remediation, VAPT awareness - Secrets management — Azure Key Vault, Managed Identity - Observability — KQL, Log Analytics alerts, Prometheus + Grafana, Application Insights - Networking — VNets, NSGs, private endpoints, AKS CNI models, TLS/cert-manager - Agile/ADO — sprint ceremonies, Boards, runbook authoring - Nice to have — MLOps (vLLM, Azure ML) Benefits - Flexible working environment - Support for work-life balance - Opportunities for professional growth and development