Site Reliability Engineer

Hackajob; Ahmedabad District, Gurugram District, Mumbai; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Hackajob in India seeks a Site Reliability Engineer to own the reliability of critical services, progressively taking on project ownership and independent delivery.

You will leverage AWS cloud, observability tools, and AI‑enabled capabilities to improve incident triage, monitoring and runbooks while reducing toil and ensuring security and auditability. Collaborate across teams to design resilient systems and maintain operational hygiene.

Qualifications

• Formal software engineering training with 2+ years applied experience.
• Proficient in site reliability culture and SLI/SLO/SLA and error budgets.
• Experience in observability using tools like Grafana, Dynatrace, Prometheus, Datadog, Splunk.
• Hands‑on system design, resiliency, testing, operational stability, and disaster recovery.
• Strong AWS expertise (EC2, S3, RDS, VPC, IAM) and networking.
• Proficient in Python or Java/Spring Boot for automation.
• Experience with CI/CD tooling and production incident management with cross‑functional teams.
• Experience with Jenkins, GitLab, or Terraform.
• Cloud experience in AWS supporting production services with debugging distributed systems.
• Knowledge of enterprise AI capabilities in SRE workflows and data sensitivity handling.

Responsibilities

• Executes small to medium projects independently with initial direction and graduates to delivering projects solo.
• Leverages technology to solve business problems by writing high quality, maintainable code.
• Participates in triaging, diagnosing, and resolving incidents with cross‑functional collaboration.
• Works to eliminate toil via systems engineering or code improvements.
• Implements observability patterns, monitoring, and alerting for transparency and analysis.
• Uses enterprise AI capabilities to speed up incident triage and analysis with proper controls.
• Assesses AI‑assisted recommendations for correctness and risk, ensuring resiliency and security.

Skills

Site reliability culture

SLI/SLO/SLA

Observability

Cloud AWS

Python/Java

CI/CD tooling

Incident management

Distributed systems debugging

Education

Formal software engineering training or certification

Tools

Grafana

Dynatrace

Prometheus

Datadog

Splunk

Jenkins

GitLab

Terraform

Job description

Job responsibilities

• Executes small to medium projects independently with initial direction and eventually graduates to designing and delivering projects by yourself
• Leverages technology to solve business problems by writing high quality, maintainable, and robust code following best practices in software engineering
• Participates in triaging, examining, diagnosing, and resolving incidents and work with others to solve problems at their root
• Recognizes the toil within your role and proactively works towards eliminating it through either systems engineering or updating application code
• Understands observability patterns and strives to implement and improve service level indicators, objectives monitoring, and alerting solutions for optimal transparency and analysis
• Uses enterprise-authorized AI capabilities within the work environment to speed up incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements
• Applies enterprise-authorized AI capabilities within the work environment to identify recurring toil and reliability risks from operational signals, prioritizing reuse-first improvements and measurable SLO outcomes

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform, including strong understanding of SLI/SLO/SLA and error budgets
• Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Geneos, Prometheus, Datadog, Splunk, and others
• Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, AI, Android, etc.), including hands‑on experience in system design, resiliency, testing, operational stability, and disaster recovery
• Strong expertise in AWS services, including EC2, S3, RDS, VPC, IAM, and networking.
• Proficient in at least one programming language such as Python, Java/Spring Boot for AI/ML modeling and automation to reduce operational toil by building tools for repeated tasks
• Experience with continuous integration and continuous delivery tooling, along with experience running production incident calls and managing incident resolution in collaboration with cross-functional teams
• Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform
• Practical cloud experience in AWS supporting production services (visibility/troubleshooting, deployments, and operational hygiene) and strong debugging fundamentals across distributed systems (logs/metrics, latency analysis, dependency failures, data issues)
• Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows (e.g., troubleshooting support and runbook drafting) with strong validation habits and awareness of data sensitivity. Ability to assess AI-assisted operational recommendations for correctness and risk, and apply appropriate controls to maintain resiliency, security, and auditability

Preferred qualifications, capabilities, and skills

• Experience with continuous integration and continuous delivery tooling
• Experience applying AI-assisted tooling to reduce support toil
• Familiarity with container and container orchestration and troubleshooting common networking technologies and issues
• Ability toidentifynew technologiesand relevant solutions to ensure design constraints are met by the software team
• Ability toinitiateand implement ideas to solve business problems