Weekday

Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020

Description

  • Identify and automate manual, repetitive operational workflows across development, infrastructure, deployment, and security.
  • Design, implement, and maintain cloud infrastructure as code and reusable infrastructure modules.
  • Manage and troubleshoot AWS services across compute, networking, storage, IAM, and databases.
  • Own and optimize CI/CD pipelines, including testing, security scanning, artifact management, and deployments.
  • Develop reusable pipeline patterns, shared libraries, automation tools, templates, and scripts.
  • Use AI coding agents to implement automation solutions and review AI-generated outputs for correctness, security, and architectural consistency.
  • Investigate production incidents and pipeline failures, perform root-cause analysis, and implement preventive measures.
  • Improve observability, monitoring, alerting, operational runbooks, and system reliability.
  • Integrate secure-by-design practices, secrets management, policy-as-code, and compliance controls into delivery workflows.
  • Collaborate with distributed engineering, product, security, and operations teams on standards, tool improvements, and migrations.

Requirements

  • 3+ years of experience building and supporting production SaaS applications or platforms.
  • 2+ years of hands-on AWS experience, including services such as EC2, ECS/EKS, S3, IAM, VPC, RDS, and CloudWatch.
  • Production Infrastructure as Code experience with Terraform, OpenTofu, Pulumi, CloudFormation, CDK, or similar tools.
  • Experience owning production CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, CircleCI, Azure DevOps, or comparable tools.
  • Knowledge of public-cloud architecture, containerization, serverless computing, event-driven architecture, and RESTful APIs.
  • Proficiency in Python, Go, or a comparable programming language.
  • Strong system design and distributed-systems knowledge, including failure handling, state management, idempotency, and reliability.
  • Experience using AI coding agents, prompt engineering, and agentic workflows, with the ability to validate generated outputs and manage AI security risks.
  • Strong production troubleshooting, analytical, written communication, and documentation skills.
  • Bachelor's degree in a relevant technical field or equivalent experience; ability to work across time zones and attend late-evening meetings; U.S. work authorization and commuting distance to San Jose, CA, or Albuquerque, NM, are required.

Benefits

  • Salary range of INR 20–30 LPA.
  • Remote work location listed in India.

Interested in this position?

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