Senior Cloud Devops & Sre — 100% Remote (Usd)
Bluelightconsulting
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Job summary
AgileEngine is seeking a Senior DevOps Engineer to design, operate, and scale cloud infrastructure and deployment platforms supporting Data and AI teams. You will own IaC with Terraform, manage CI/CD pipelines, and run Kubernetes workloads across AWS/Azure/GCP, while ensuring security and PCI-compliant practices.
You’ll collaborate across India and U.S. teams to improve reliability and developer experience.
Qualifications
- 4+ years of DevOps, SRE, or platform engineering experience operating production services.
- 3+ years building CI/CD pipelines and infrastructure as code.
- Kubernetes (EKS/AKS/GKE) experience and container tooling know-how.
- Scripting in Python/Bash/Go; solid cloud platform experience (AWS/Azure/GCP).
- Observability stacks experience (Prometheus, Grafana, OpenTelemetry, ELK, Datadog).
- Cloud security and PCI-compliant environment understanding.
- Ability to work independently and across time zones.
Responsibilities
- Design, build, and operate cloud infrastructure as code with Terraform.
- Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI.
- Operate Kubernetes clusters (EKS/AKS/GKE) and containers.
- Build observability with Prometheus, Grafana, OpenTelemetry, ELK, Datadog.
- Implement security and compliance controls across platforms.
- Lead incident response and post-mortems to improve reliability.
- Collaborate with developers on dev experience and internal standards.
Skills
Education
Tools
Job 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.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
We are looking for a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI-compliant environment.
- 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services.
- 3+ years of hands-on experience building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, or CircleCI) and managing infrastructure as code (Terraform, Pulumi, or CloudFormation).
- Working knowledge of Kubernetes (EKS, AKS, or GKE) and container tooling (Docker, Helm, ArgoCD, or Flux).
- Strong scripting skills in Python, Bash, or Go ; solid SQL skills and strong comfort with at least one cloud platform (AWS, Azure, or GCP).
- Hands-on experience with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
- Solid understanding of cloud security and compliance practices, particularly in PCI-compliant or regulated environments .
- Proven ability to work independently and within a team, managing priorities across concurrent projects and time zones, including on-call rotations.
- Strong written and verbal communication skills; able to work effectively with both technical and non-technical stakeholders.
- Experience operating Dataiku DSS, Snowflake, or other large-scale data and analytics platforms in production.
- Experience with service meshes (Istio, Linkerd), API gateways, and zero-trust networking.
- Experience with policy-as-code (OPA / Rego, Checkov, tfsec) and supply-chain security (SBOM, Sigstore).
- Experience with FinOps practices and cloud cost optimization.
- Experience supporting ML or LLM workloads — GPU scheduling, model-serving infrastructure, vector databases, or LangSmith / Langfuse.
- Experience with database administration / reliability for PostgreSQL, MySQL, or Snowflake.
- Experience in loyalty, martech, adtech, or a comparable data-rich B2B domain.
- Strategy, Roadmap & Vision – build the roadmap for DevOps and observability in Data & AI teams.
- Design and build cloud infrastructure as code with Terraform (or Pulumi / CloudFormation), packaging reusable modules for AWS, Azure, or GCP.
- Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI — build, test, security scanning, blue-green or canary deploys, and automated rollback.
- Operate Kubernetes clusters (EKS, AKS, or GKE) and container workloads with LENS, Helm, ArgoCD, or Flux — including autoscaling, ingress, secrets, and policy.
- Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog — metrics, logs, traces, dashboards, and SLO-driven alerting.
- Implement security and compliance controls: IAM, SSO, secrets management (Vault / KMS), vulnerability scanning, policy-as-code (OPA, Checkov), and PCI-aware patterns.
- Lead incident response — on-call, runbooks, blameless post-mortems, and continuous reliability work to drive down MTTR and toil.
- Partner with developers on local dev experience, golden paths, internal platform tooling, and developer self-service.
- Help shape internal platform standards as the stack evolves, contributing to design reviews and sharing knowledge across the India and U.S. teams.
- Participate in a collaborative DevOps environment, working closely with developers, AI engineers, QA, DBAs, and product partners across environments.
- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
- Exciting projects : Modern solutions with Fortune 500 and top product companies.
- Flextime : Flexible schedule with remote and office options.
- Location: Anywhere in LATAM
- Work Model: 100% Remote
- Engagement: Full-time Contractor
- Payment: USD
- Project: Identity Security / Cybersecurity Platform
- Seniority: Senior
- Location: Anywhere in LATAM
- Work Model: 100% Remote
- Engagement: Full-time Contractor
- Payment: USD
- Project: Identity Security / Cybersecurity Platform
- Seniority: Senior
- English Level: B2 / C1
At Darwoft, we build custom software solutions and partner with international companies to create high-impact digital products.
We are a Latin American technology company with a people-first culture, strong professional standards, and a long-term partnership mindset. We work with distributed teams, complex technical challenges, and clients whose technology has a direct impact on their businesses and users.
We are partnering with an innovative cybersecurity company developing a modern Identity Security and Identity Observability platform .
The product enables enterprise security teams to monitor identity activity, identify security gaps, detect suspicious behavior, and reduce identity-related risks across cloud, SaaS, network, and on-premise environments .
Its architecture relies heavily on distributed systems, real-time data processing, cloud-native infrastructure, advanced analytics, and an increasingly AI-driven security roadmap .
As the platform continues to scale, infrastructure reliability, automation, observability, security, and developer productivity are critical engineering priorities.
We're looking for a Senior DevOps Engineer to design, automate, operate, and continuously improve the cloud infrastructure and deployment platform supporting a high-scale cybersecurity product.
You’ll work primarily with AWS, Kubernetes/EKS, Terraform, Docker, CI/CD, and observability technologies , partnering closely with Software Engineering, QA, Security, and IT teams.
This role goes beyond maintaining infrastructure. You’ll actively contribute to platform engineering , helping engineers ship software faster and more reliably while improving automation, security, operational visibility, scalability, and cloud cost efficiency.
You’ll have a high degree of ownership over production infrastructure and participate directly in architectural decisions, incident resolution, platform improvements, and DevOps best practices.
- Design, build, and operate highly available and scalable cloud infrastructure primarily on AWS .
- Build and maintain Infrastructure as Code using Terraform .
- Deploy, manage, scale, and troubleshoot workloads running on Kubernetes , particularly Amazon EKS .
- Develop automation for infrastructure provisioning, environment configuration, and application deployment.
- Build and maintain reliable CI/CD pipelines using tools such as GitHub Actions, Jenkins, or GitLab CI .
- Improve deployment processes, release reliability, and developer experience across engineering teams.
- Manage containerized applications using Docker and Kubernetes .
- Design and improve observability across infrastructure and applications.
- Implement monitoring, dashboards, alerts, and centralized logging using technologies such as:
- Prometheus
- Grafana
- AWS CloudWatch
- OpenSearch / Elasticsearch
- ELK
- Participate in production incident response, troubleshooting, mitigation, and root cause analysis .
- Identify recurring operational issues and automate their resolution.
- Implement AWS and Kubernetes security best practices.
- Collaborate with Security teams to strengthen infrastructure security and support compliance initiatives.
- Improve platform resilience, high availability, scalability, and disaster recovery capabilities.
- Optimize AWS resource utilization and contribute to cloud cost optimization and FinOps initiatives .
- Automate operating system and infrastructure configuration using Ansible or similar tools .
- Develop operational tooling and automation using Python and Bash .
- Collaborate with Engineering teams on platform architecture and deployment strategies.
- Continuously evaluate new DevOps, cloud, Kubernetes, observability, and platform engineering technologies.
- 5–8+ years of experience working in DevOps, Platform Engineering, Site Reliability Engineering, Cloud Engineering, or similar roles.
- Strong hands-on production experience with AWS .
- Strong experience managing Kubernetes clusters , ideally Amazon EKS .
- Advanced experience with Terraform and Infrastructure as Code.
- Strong experience with Docker and containerized environments .
- Hands-on experience building and maintaining CI/CD pipelines with:
- GitHub Actions
- Jenkins
- GitLab CI
- or similar platforms
- Strong Linux administration skills.
- Experience with configuration management tools such as Ansible .
- Good scripting and automation capabilities with:
- Python
- Bash
- Experience implementing observability using technologies such as:
- Prometheus
- Grafana
- CloudWatch
- OpenSearch / Elasticsearch
- ELK
- Strong understanding of networking concepts including:
- VPCs
- Subnets
- Load Balancers
- DNS
- VPNs
- Firewalls
- Routing
- Security Groups
- Experience troubleshooting complex distributed systems and production environments.
- Solid understanding of cloud security and infrastructure security best practices.
- Experience supporting highly available, production-grade cloud environments.
- Strong communication skills and ability to collaborate with engineering, security, QA, and business stakeholders.
- High degree of autonomy, ownership, and analytical problem-solving ability.
- Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, or a related technical discipline, or equivalent professional experience.
You'll work with technologies including:
- AWS
- Kubernetes / EKS
- Docker
- Terraform
- Ansible
- GitHub Actions
- Jenkins
- Linux
- Python
- Bash
- Prometheus
- Grafana
- CloudWatch
- OpenSearch / Elasticsearch
- Experience with HashiCorp Nomad .
- Experience with HashiCorp Consul .
- Broader experience with the HashiCorp ecosystem.
- Experience operating Kafka in production.
- Experience supporting data infrastructure based on:
- ClickHouse
- Elasticsearch
- MongoDB
- Redis
- Experience with distributed systems and high-volume data platforms.
- Previous experience in cybersecurity, identity security, or security SaaS platforms .
- Experience working with cloud security controls and compliance frameworks.
- Experience with FinOps and cloud cost optimization .
- Experience designing internal developer platforms or platform engineering capabilities.
- Exposure to infrastructure supporting AI/ML or LLM-based applications .
Success in this role means:
- Increasing infrastructure reliability and availability.
- Reducing deployment friction and improving engineering velocity.
- Increasing infrastructure automation and reducing manual operational work.
- Improving observability and reducing mean time to detection and resolution.
- Operating Kubernetes workloads reliably at scale.
- Strengthening security throughout cloud infrastructure and deployment processes.
- Improving AWS cost efficiency without compromising reliability.
- Contributing reusable platform capabilities that allow engineering teams to move faster.
- Continuously improving production readiness as the platform scales.
- Contractor agreement with payment in USD
- 100% remote work
- Argentina's public holidays
- English classes
- Referral program
- Access to learning platforms
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