Software Development Engineer I - DevOps Engineer

1 - 3 years

0 Lacs

bengaluru

Posted:7 hours ago| Platform: GlassDoor logo

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Skills Required

software development devops security ai cybersecurity risk transparency learning support management engineering automation code pipeline jenkins github provisioning terraform ansible aws microservices monitoring datadog reliability analysis tracking reporting gcp azure orchestration scripting logging kafka sql nosql optimization kubernetes deployment scaling data governance

Work Mode

On-site

Job Type

Part Time

Job Description

At SAFE Security, our mission is bold and ambitious: We Will Build CyberAGI — a super-specialized system of intelligence that autonomously predicts, detects, and remediates threats. This isn’t just a vision—it’s the future we’re building every day, with the best minds in AI, cybersecurity, and risk. At SAFE, we empower individuals and teams with the freedom and responsibility to align their goals, ensuring we all move towards this goal together.

We operate with radical transparency, autonomy, and accountability—there’s no room for brilliant jerks. We embrace a culture-first approach, offering an unlimited vacation policy, a high-trust work environment, and a commitment to continuous learning. For us, Culture is Our Strategy—check out our Culture Memo to dive deeper into what makes SAFE unique.

Job Overview

As an SDE I – DevOps Engineer, you’ll be part of a high-impact team that builds and maintains secure, scalable, and reliable infrastructure to support our digital risk management platform. You'll work closely with engineering and operations teams, contributing to automation, CI/CD, infrastructure as code, and cloud optimization—gaining real-world experience while solving meaningful challenges.

This role is ideal for someone early in their DevOps career (1–3 years of experience), passionate about infrastructure, automation, and continuous improvement

Core Responsibilities:

    • CI/CD Pipeline Support: Assist in building, maintaining, and improving CI/CD pipelines using tools like Jenkins and GitHub Actions to support faster and safer software delivery.
    • Automation & DevOps Tooling: Contribute to automating infrastructure provisioning and deployments using tools like Terraform, Ansible, or similar.
    • Infrastructure Management: Support the provisioning and management of AWS-based infrastructure, including Dockerized microservices running on ECS or Kubernetes.
    • Monitoring & Observability: Set up and manage monitoring tools (e.g., Prometheus, Grafana, Datadog) to ensure system reliability and performance.
    • Incident Response: Participate in incident resolution, root cause analysis, and postmortems to improve system reliability and response processes.
    • Collaboration: Work with engineering and operations teams to implement DevOps best practices and promote a culture of operational excellence.
    • Cloud Cost Optimization: Assist in tracking and reporting cloud resource usage and identifying opportunities to optimize costs.
    • Continuous Learning: Stay up to date with industry trends and emerging tools/technologies in DevOps and cloud computing.

Qualifications/ Essential Skills/ Experience:

    • 1–3 years of hands-on experience in a DevOps, SRE, or infrastructure-focused role.
    • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
    • Exposure to AWS or other cloud providers (GCP, Azure) and understanding of cloud-based architecture.
    • Practical knowledge of Infrastructure as Code (Terraform, CloudFormation, Ansible, etc.).
    • Experience working with Docker and basic understanding of container orchestration with ECS or Kubernetes.
    • Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitHub Actions).
    • Basic scripting skills in Bash, Python, or similar.
    • Exposure to monitoring and logging tools like Prometheus, Grafana, Datadog, or New Relic.
    • Understanding of microservices and experience working with at least one message broker (e.g., Kafka, RabbitMQ).
    • Exposure to SQL or NoSQL databases and knowledge of basic performance optimization techniques.

Preferred Skills (Nice to Have)

    • Experience with Kubernetes (deployment, scaling, troubleshooting).
    • Exposure to deploying or managing data pipelines, and AI models..
    • Interest in cloud cost governance and optimization tools (e.g., AWS Cost Explorer, CloudHealth).
If you’re passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that’s redefining security—we want to hear from you!

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