Senior DevOps Engineer

Cogniify Ai — Canada · Posted ~21 hours ago

Senior Full-time

Skills

AWS Cloud infrastructure DevOps Automation Infrastructure design Cloud

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Summary ✨ AI‑Generated

A senior DevOps engineer will design, build, and scale cloud infrastructure, create automation tools, and support engineering teams with reliable deployment solutions.

Highlights

Build and scale highly available cloud infrastructure while mentoring engineers and improving deployment reliability.

Description

Role- Sr DevOps engineer Location - Vancouver, British Columbia, Canada please share the profile to parveza@cogniify.ai OR Apply on below https://app.dover.com/apply/Cogniify/72b57b6e-7d86-48ca-806e-6bc919a05c78/?rs=76643084 The Identity Solutions – ‘Cloud Infrastructure - Edge’ team is looking for a ‘Sr Software Engineer (DevOps)’ to help support, design, and build our highly available and scalable AWS Cloud infrastructure which our products are built on. The team builds infrastructure for Engineering projects, extends our platform for the future, and improves the availability and performance of our applications. This position also designs, develops systems, automation, and tools to help make it easier for Engineering teams to deploy services in a fast, automated and reliable fashion. In this role You will: · Be a team and highly accountable member in a geo-diverse team. Mentoring the more junior members and being an SME. · Plan, design, build, and scale our infrastructure. · Work with tools such as Jenkins, Ansible, Argo CD, Terraform, CloudFormation, Resource Manager and many more to ensure that our stack is well represented as Infrastructure as Code. · Manage, design, and improve security and availability monitoring and processes for all services, ensure defined security policies are consistently implemented across all environments. · Deploy and supervise workloads to cloud environments, proven experience with all of the core services within AWS including instance management, IAM configuration, Database, Caching and general support/troubleshooting. · Have a deep understanding of the core components required to run Kubernetes (EKS) and be able to build a cluster from scratch or scale out if needed. · Have perfected load balancing, service mesh and always looking for ways to improve availability, response time, and uptime. · Maintain, and manage quality documentation for systems owned by the Infrastructure team. · Design, build, and improve monitoring tools to identify and resolve issues before they happen. Mainly with Prometheus. · Help and advise other teams, troubleshoot and solve failures and performance problems, participate in on-call rotations. · Have a basic passion for working with Go, Python, Rust or even Bash to build custom tools and improve system integration. Take code ownership to the next level and act as an advocate for writing code that aligns with industry best practice. All About You: · Excellent spoken and written English skills. Is a team player and values collaboration. · BS degree in Computer Science or equivalent experience. · Led / been a leader within a team and projects. · AWS Networking Services · Proficiency with: o Amazon Virtual Private Cloud (VPC) o AWS Direct Connect o Transit Gateway o Elastic Load Balancing (ELB) o Route 53, Resolver endpoints, DNS firewall o Security Groups and NACLs o AWS Firewall o VPC flow log analysis · Understanding of hybrid connectivity (VPNs, Direct Connect) and multi-region architectures · Understand implementation of latency reduction techniques and tools - iperf, sockperf · Proven deep skills with Linux or UNIX systems and related protocols/software with 3+ years’ experience. Robust DevOps and/or BizOps experiecne. · A command of Linux systems including troubleshooting, memory management, tuning, I/O subsystem, RAID, and security. · Experience with provisioning tools such as Ansible/Chef/Terraform. · Experience with Jenkins or other CI/CD tools. · Programming aptitude in Go, Python, and Bash. · Knowledge of database systems such as MySQL or PostgreSQL. · Experience building and deploying Containers, including orchestration tools such as EKS, Kubernetes, Mesos, or Docker Swarm. · Experience with AWS cloud providers (AWS, Azure, GCP)