Remote Senior Aws Devops & Sre - Ci/Cd + Security

Bluelightconsulting; Quilmes; Remote; ARS 4,200,000 - 7,200,000; Full time

Benefits offered by this job

Mentorship

Tech Talks

Education budgets

Flextime

Job summary

AgileEngine is seeking a Senior DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI‑compliant environment. You will own infrastructure projects end‑to‑end, ensuring scalable, secure, and highly available systems running 24/7.

The role emphasizes advanced AWS, Terraform, containerization, and responsible DevOps practices, with on‑call responsibilities and collaboration across global teams. Strong English and problem‑solving are essential.

Qualifications

• 5+ years in DevOps, SRE, or Platform Engineering.
• 4+ years supporting Kubernetes in production.
• Experience deploying and operating AWS-hosted applications.
• Experience leading technical implementation efforts with minimal supervision.
• Strong troubleshooting and root-cause analysis skills.
• Kubernetes experience with EKS, Helm, ArgoCD, and service-mesh technologies.

Responsibilities

• Design, deploy, and maintain scalable, secure, highly available AWS infrastructure.
• Manage containerized workloads using ECS/Fargate, ALB/NLB, and autoscaling.
• Develop and maintain reusable Terraform modules and Jenkins/Groovy CI/CD pipelines.
• Operate and optimize streaming platforms, data infrastructure, and distributed systems.
• Implement monitoring, logging, alerting, and proactive incident resolution.
• Continuously optimize AWS costs through resource right‑sizing and cost-conscious architecture decisions.
• Automate operational processes using Python, Bash, and AWS Lambda.
• Strengthen infrastructure security, vulnerability management, and CI/CD security controls.

Skills

AWS

Kubernetes

CI/CD

Python

Bash

Go

Linux

Observability

Security

On‑call

Education

Bachelor's or Master's degree

Tools

Docker

Kubernetes

Terraform

Jenkins

GitHub Actions

GitLab CI

Job description

Senior DevOps Engineer

We are looking for a Senior DevOps Engineer with strong expertise in AWS, infrastructure automation, CI/CD, and managing high‑availability, high‑throughput, low‑latency production environments.

The ideal candidate will ensure infrastructure scalability, reliability, security, and cost efficiency while supporting mission‑critical systems operating 24/7.

Experience

Experience: 5+ years in DevOps, SRE, or Platform Engineering, supporting 24/7 production environments.

Advanced AWS

Advanced AWS: ECS/Fargate, ALB/NLB, Auto Scaling, VPC, Transit Gateway, Route 53, ACM, CloudFront, IAM, KMS, Secrets Manager, SSM, CloudTrail across multiple AWS accounts.

Infrastructure as Code

Infrastructure as Code: Advanced Terraform expertise, including reusable versioned modules, S3 remote state, version pinning, and multi‑environment deployments (Dev, QA, Integration, Prod).

Containerization

Containerization: Docker, Dockerfiles, ECR image management, base images, and ECS task definitions.

CI/CD

CI/CD: Jenkins, Groovy, Jenkinsfiles, shared libraries, Java/Maven builds, and Shift‑Left security practices.

Streaming & Data Infrastructure

Streaming & Data Infrastructure: Production experience with Kafka (AWS MSK), Aerospike, and Multi‑AZ architectures. Experience with EMR/EMR Serverless, Flink, Airflow, Athena, and S3 Tables.

Monitoring & Observability

Monitoring & Observability: Prometheus, Grafana, Graphite, CloudWatch, Fluent Bit, Logstash, OpenSearch, Slack, and SNS alerting.

Automation

Automation: Strong Python (boto3), Bash scripting, and AWS Lambda.

Security

Security: Vulnerability management, system patching, credential protection, API key security, and least‑privilege access.

Tools & Collaboration

Tools & Collaboration: Git, Pull Requests, Jira, Confluence, and AI‑powered development tools.

Strong problem‑solving skills, independent work capabilities, proactive communication, and data‑driven decision‑making.

Key Responsibilities

• Design, deploy, and maintain scalable, secure, highly available AWS infrastructure.
• Manage containerized workloads using ECS/Fargate, ALB/NLB, and autoscaling.
• Develop and maintain reusable Terraform modules and Jenkins/Groovy CI/CD pipelines.
• Operate and optimize streaming platforms, data infrastructure, and distributed systems.
• Implement monitoring, logging, alerting, and proactive incident resolution.
• Continuously optimize AWS costs through resource right‑sizing, waste reduction, and cost‑conscious architecture decisions.
• Automate operational processes using Python, Bash, and AWS Lambda.
• Strengthen infrastructure security, vulnerability management, and CI/CD security controls.
• Own infrastructure projects end‑to‑end, from design and deployment to documentation and ongoing support.
• Create clear technical documentation and step‑by‑step runbooks for first‑level support teams.
• Manage infrastructure changes through reviewed Pull Requests using a single main branch.
• Use performance metrics, operational data, and cost analysis to guide technical decisions and advise leadership.
• Leverage AI tools to improve productivity while maintaining code quality and review standards.

Nice to Have

• Experience in AdTech or Real‑Time Bidding (RTB) environments.
• AWS CloudFormation.
• Java development experience.

Requirements

Experience: 5+ years of DevOps, SRE, Platform Engineering, or Cloud Engineering experience. 4+ years supporting Kubernetes in production environments. Demonstrated experience deploying and operating AWS‑hosted applications. Experience leading technical implementation efforts with minimal supervision. Strong troubleshooting and root‑cause analysis skills. Kubernetes experience with EKS, Helm, ArgoCD, and service‑mesh technologies. AWS experience with VPC, EC2, IAM, Route 53, ALB/NLB, RDS, CloudWatch, S3, Secrets Manager, and Systems Manager Parameter Store. CI/CD & Automation experience with GitLab, GitLab CI/CD, GitOps workflows, Infrastructure as Code, Terraform. Bash, Python, or Go automation skills. Upper‑intermediate English level.

About the Company

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 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!

Job Description

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.

Must Haves

• 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.
• Upper‑intermediate English level.

Nice to Haves

• 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.

What You Will Do

• 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.

Perks & Benefits

• 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.

Why Join Us?

We’re a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards.

Job Description

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.

What You Will Do

Lead the design, architecture, and management of CI/CD pipelines using GitHub Actions (and similar tools), ensuring fast, reliable, and reproducible software delivery.

Implement and enforce test‑driven deployment systems, integrating automated testing, validation, and monitoring to maintain code quality and accelerate feedback cycles.

Containerize applications and microservices with Docker, optimize image builds, and manage deployment pipelines for distributed environments.

Develop and maintain cross‑platform build pipelines using CMake or equivalent tools, ensuring consistent compilation and release workflows across web, desktop, and mobile.

Automate end‑to‑end release processes, including tagging, building, signing, and distributing mobile, web, and desktop applications.

Define and manage Infrastructure as Code (IaC) to provision and maintain reliable, scalable, and secure infrastructure environments.

Collaborate closely with development, QA, and operations teams to troubleshoot deployment issues, optimize performance, and improve release reliability.

Continuously improve observability and feedback loops, leveraging monitoring and alerting systems to maintain operational excellence.

Mandatory:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
• 3+ years of hands‑on experience architecting and maintaining CI/CD pipelines using GitHub Actions or equivalent tools at scale in a production environment.
• Strong proficiency in test‑driven deployment methodologies, including writing and maintaining automated test suites for integration and end‑to‑end validation.
• Expertise in containerization technologies such as Docker, including image creation, registry management, and basic orchestration patterns.
• In‑depth knowledge of C++ build systems, specifically CMake, with proven experience optimizing native build and deployment pipelines.
• Advanced Linux system administration and networking skills, including shell scripting, package management, performance troubleshooting, firewalls, and VPN configuration.
• Excellent communication, problem‑solving, and collaboration skills, with the ability to work effectively in globally distributed teams.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, AWS CDK or AWS CloudFormation.
• Experience with mobile CI/CD automation, including build, tagging, and publication for iOS and Android applications.
• Advanced knowledge of release management practices, including automated versioning, signing, and artifact distribution.

Preferred:

• Exposure to observability and monitoring systems, leveraging tools like Prometheus, Grafana, or ELK for deployment health tracking.
• Experience working in high‑availability, security‑sensitive environments, especially in fintech, blockchain, or distributed systems contexts.
• Experience deploying and managing blockchain‑based applications.
• Exposure to AI/ML pipelines, including automated model training, evaluation, and deployment using frameworks like PyTorch or TensorFlow.

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