
DevOps Engineer
Há 6 horas
3 days ago Be among the first 25 applicants
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you
What You Will Do
- Kubernetes Operations: Design, deploy, and operate scalable and robust Kubernetes environments (EKS or similar) supporting data and analytics workloads;
- Argo Workflows: Build, automate, and maintain complex data pipelines using Argo Workflows for orchestration, scheduling, and workflow automation;
- GitLab/Git Migration Projects: Lead or support migration of source code repositories and CI/CD pipelines to GitLab or other Git-based platforms. Automate and optimize testing, deployment, and delivery using GitOps principles;
- Infrastructure as Code: Develop and manage infrastructure with Terraform and related tools, implementing infrastructure automation and repeatable deployments in AWS and Kubernetes;
- Data Platform Reliability: Support high-availability S3-based data lake environments and associated data tooling, ensuring robust monitoring, scalability, and security;
- Observability: Instrument, monitor, and create actionable alerts and dashboards for Kubernetes clusters, Argo workflows, and data platforms to quickly surface and resolve operational issues;
- Incident & Problem Management: Participate in incident, problem, and change management processes, proactively drive improvements in reliability KPIs (MTTD/MTTR/availability);
- Collaboration: Work cross-functionally with Data Engineering, SRE, Product, and Business teams to deliver resilient solutions and support key initiatives like Git migration and cloud modernization;
- Security & Networking: Apply best practices in networking (Layer 4-7), firewalls, VPNs, IAM, and data encryption across the cloud/data stack;
- Capacity & Performance: Engage in capacity planning, forecasting, and performance tuning for large-scale cloud and Kubernetes-based workloads.
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience;
- 5+ years of production experience operating and managing Kubernetes clusters (preferably in AWS, EKS, or similar environments);
- Strong hands-on experience with AWS cloud services;
- Deep hands-on experience with Argo Workflows, including developing, deploying, and troubleshooting complex pipelines;
- Experience with Git, GitLab, and CI/CD, including leading or supporting migration projects and the adoption of GitOps practices;
- Effective at developing infrastructure as code with Terraform and related automation tools;
- Practical experience in automating data workflows and orchestration in a cloud-native environment;
- Proficient in SQL and basic scripting (Python or similar);
- Sound understanding of networking (Layer 4-7), security, and IAM in cloud environments;
- Proficient in Linux-based systems administration (RedHat/CentOS/Ubuntu/Amazon Linux);
- Strong written and verbal communication skills;
- Ability to collaborate in cross-functional environments;
- Track record delivering reliable, secure, and scalable data platforms in rapidly changing environments;
- Experience working with S3-based data lakes or similar large, cloud-native data repositories;
- Upper-Intermediate English level.
- Exposure to regulated or healthcare environments;
- Familiarity with data modeling, analytics/BI platforms, or DBT;
- Experience leading software/tooling migrations (e.g., Bitbucket to GitLab), or managing large-scale CI/CD consolidations.
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at AgileEngine by 2x
Site Reliability Engineer ID38563 ($3,000 signing bonus) Site Reliability Engineer - Remote Work | REF# AWS Migration Engineer - Remote - Latin AmericaWe're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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