DevOps Engineer (Senior/Lead) ID43756 at AgileEngine

, jalisco, Mexico -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DevOps, AWS, ECS, RDS, Aurora, Lambda, S3, CloudWatch, CDK, Networking, Docker, GitHub Actions, Postgres, Automation, Scripting, Observability

Industry

Software Development

Description

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. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE As a Lead DevOps Engineer, you’ll own and evolve cloud infrastructure that powers AI-driven products, ensuring scalability, reliability, and security across distributed systems. You’ll lead modernization efforts in AWS, streamline CI/CD pipelines, and champion automation and observability best practices. This role combines hands-on technical leadership with strategic impact, offering the opportunity to shape infrastructure standards and drive innovation in a fast-paced, collaborative environment. WHAT YOU WILL DO Lead cross-cutting infrastructure projects not tied to app/platform changes, such as domain migrations for pipelines and customer-facing sites, networking redesigns to avoid IP exhaustion, and medium-sized automation initiatives. Design and evolve AWS networking and environments to support more dev/test sites, future SaaS infrastructure, and sandboxes where dev teams can experiment safely. Define and implement a disaster recovery strategy and secondary region or DR zone to improve resilience and recovery time. Implement cost, reliability, observability, and monitoring improvements across services, using metrics and logs to guide optimization. Design, maintain, and evolve AWS-based infrastructure, including ECS, RDS/Aurora, Lambda, S3, CloudWatch, CDK, VPCs, subnets, security groups, Route 53, and load balancers. Upgrade AWS Aurora Postgres clusters to the latest supported versions, ensuring high availability, data integrity, and minimal downtime. Own and improve CI/CD pipelines using GitHub Actions for production deployments, covering containerized services and Lambda-based workloads. Manage infrastructure as code using AWS CDK (TypeScript) and other IaC practices to drive automation, consistency, and repeatability. Consolidate and optimize shared tooling, utility scripts, and reusable components across multiple repositories. Collaborate with engineering and leadership to define the infrastructure roadmap, influence architecture decisions, and promote DevOps culture and best practices. MUST HAVES 6+ years of experience in DevOps / Site Reliability Engineering, including ownership of multi-quarter infrastructure projects or leadership roles. Strong expertise with AWS services such as ECS, RDS/Aurora, Lambda, S3, CloudWatch, CDK, and core networking (VPC design, routing, subnets, security groups, NAT, DNS/Route 53, load balancers). Proficient with Docker, GitHub Actions, and modern CI/CD patterns for cloud-native applications.. Deep knowledge of Postgres administration, including upgrades, backups, and performance tuning. Strong scripting and automation skills with TypeScript, Python, or Bash. Proven ability to architect scalable, secure, and reliable cloud environments, including DR strategies and cost-optimization practices. Experience improving observability (metrics, logs, traces, alerting) and using it to guide reliability and cost improvements Excellent communication and collaboration skills, with a track record of working closely with engineers and stakeholders to execute infra roadmaps. Self-driven, practical, and detail-oriented, comfortable making decisions, documenting trade-offs, and delivering high-quality results with limited supervision. Upper-intermediate English level. NICE TO HAVES Familiarity with AI/ML workflows or cloud-based AI services. Experience with AWS Bedrock or similar generative AI platforms. Exposure to Cursor or other modern AI-enhanced developer tools. Understanding of security and scaling best practices for distributed environments. Experience with monitoring and observability tools (Datadog, Prometheus, CloudWatch, etc.). PERKS AND BENEFITS 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.

Responsibilities

As a Lead DevOps Engineer, you will own and evolve cloud infrastructure for AI-driven products, ensuring scalability, reliability, and security. You will lead modernization efforts in AWS and streamline CI/CD pipelines while promoting automation and observability best practices.