Site Reliability Engineer - 1

About Us

Signzy is a digital trust system. We create Identification, background checks, forgery detection, and contract management systems which enable contracting in a trustable, safe, legal, and convenient manner. Our biometric-based authentication system and Blockchain-based digital trail ensure non-repudiation. This increases compliance and enforceability in the court of law. These among many are the reasons why Signzy was awarded The Most Innovative Company award by the Reserve Bank of India.

Working at Signzy

At Signzy we breathe software and exploit the latest technologies to create the most amazing products. We comprise a tech-savvy team and are backed by investors who are enthusiastic about creating solutions using technology.

Responsibilities

• Design, deploy, and operate reliable and scalable systems across cloud and Kubernetes environments.
• Automate infrastructure provisioning, deployments, and operational workflows.
• Build and maintain tools for deployment, monitoring, and system operations.
• Monitor system health and performance, and proactively identify areas for improvement.
• Troubleshoot and resolve issues across development, test, and production environments.
• Participate in incident response, root cause analysis, and reliability improvements.
• Collaborate with engineering teams to improve system operability and deployment safety.
• Support and operate large-scale systems, including data-intensive or AI-driven workloads.

Requirements

• 2-3 years of experience managing and operating
• production infrastructure and services
• in cloud environments such as AWS, Azure, or GCP.
• Strong hands-on experience with
• Linux systems
• in production environments.
• Experience working with
• containerized workloads and Kubernetes
• in real-world scenarios.
• Working knowledge of
• Infrastructure as Code
• tools such as

Terraform, Terragrunt, or Crossplane

• .
• Experience designing and maintaining
• CI/CD pipelines
• using tools such as
• GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar
• .

Familiarity with

• GitOps principles and tools
• such as

Argo CD or Flux

• .
• Solid understanding of
• cloud networking concepts
• , load balancing, and service connectivity.

Experience with

• monitoring, logging, and alerting systems
• such as
• Prometheus, Grafana, ELK/EFK, Datadog, or equivalent
• .
• Proficiency in at least one
• scripting or programming language
• (e.g., Bash, Python).
• Experience working with
• relational databases
• ; exposure to NoSQL or data platforms is a plus.
• Experience participating in
• on-call rotations
• , responding to production incidents, and performing root cause analysis.

Understanding of

• SLIs, SLOs, and error budgets
• , and how they are used to guide reliability and operational decisions.
• Strong problem-solving skills and the ability to debug complex production issues.
• Good verbal and written communication skills, especially during incidents and technical discussions.

Nice to Have

• Experience operating systems at scale or in high-availability environments.
• Exposure to on-prem or hybrid infrastructure.
• Experience supporting data platforms, analytics, or AI/ML workloads.

What We Value

• A strong sense of
• ownership
• and responsibility for production systems.
• A focus on
• automation, reliability, and operational simplicity
• .
• The ability to balance speed, stability, and long-term maintainability.
• Curiosity and willingness to continuously improve systems and processes.