Senior DevSecOps Engineer – Remote, AWS & Kubernetes

Openkrill; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Remote-first culture

4 weeks paid time off

Floating holidays

Macbook provided

Flexible schedule

Medical/dental/vision insurance

Wellness resources

Job summary

Bellese Technologies is hiring a DevSecOps Engineer to join our remote-first team building scalable microservices on AWS. You will participate in architecture discussions, drive CI/CD, implement IaC with Terraform, CDK, or CloudFormation, and promote security best practices across pipelines.

You should have hands-on experience with AWS services (EKS, Lambda, EC2, S3), Kubernetes, GitHub, and monitoring tools like CloudWatch or DataDog.

Qualifications

• Proficiency in Go, Python, or TypeScript and Bash scripting.
• Experience implementing CI/CD pipelines, IaC, and DevSecOps practices.
• Strong problem-solving, communication, and collaboration skills.

Responsibilities

• Participate in architecture and design discussions to select technologies and tooling.
• Contribute to Agile ceremonies and ensure cross-team collaboration.
• Estimate, prioritize, and plan development tasks to deliver on time and within budget.
• Implement and maintain CI/CD pipelines, containerization, and IaC (Terraform, CDK, or CloudFormation) for AWS-based microservices and APIs.
• Develop monitoring, logging, and performance optimization for observability and resilience.
• Engage in security reviews, risk assessments, and vulnerability management for AWS infrastructure.

Skills

Go

Python

TypeScript

Bash scripting

Agile methodologies

Tools

AWS EKS

Kubernetes

Terraform

AWS CDK

CloudFormation

GitHub

Docker

CodePipeline

Jenkins

DataDog

PagerDuty

Job description

Bellese Technologies is hiring a DevSecOps Engineer to join our remote-first team building scalable microservices on AWS. You will participate in architecture discussions, drive CI/CD, implement IaC with Terraform, CDK, or CloudFormation, and promote security best practices across pipelines.

You should have hands-on experience with AWS services (EKS, Lambda, EC2, S3), Kubernetes, GitHub, and monitoring tools like CloudWatch or DataDog.