Forward Deployed Engineer – Observability & Platform – Associate

Jobtailor; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Jobtailor is seeking a capable SRE/DevOps professional in Bengaluru to manage and optimize production systems on AWS, with a strong focus on Kubernetes and container orchestration. You will implement automation frameworks, drive incident management, and leverage AI-assisted tools to enhance operations and response.

Collaboration with delivery teams and stakeholders is essential. The role requires 2+ years of experience, a Bachelor’s degree, and proficiency in English.

Qualifications

• Bachelor's degree required.
• Experience in operating production systems on AWS.
• Experience running Kubernetes and containers in production.
• Scripting in Python and/or Bash.
• AWS Certified Solutions Architect - Associate or actively pursuing it.

Responsibilities

• Support the transition and management of outsourced services.
• Collaborate with delivery teams to optimize processes and tools for managed services.
• Engage in project management tasks to streamline operations and improve efficiency.
• Apply automation frameworks to drive continuous process improvement.
• Participate in designing and developing automation solutions for business processes.
• Gather and analyze data to identify patterns for optimization.
• Contribute to service management strategies to meet client needs.
• Plan and execute deliverables to validate timely project delivery.
• Engage with stakeholders to understand requirements and manage expectations.
• Uphold professional and technical standards per firm guidelines.
• Maintain reliable production systems on AWS.
• Run Kubernetes and containers in production.
• Own monitoring and observability using SLIs, SLOs, and error budgets.
• Manage production incidents end to end, including on-call.
• Use automation and AI-assisted tools in incident triage and resolution.

Skills

AWS Production System Management

Kubernetes Container Management

Monitoring & Observability

Incident Management

Python Bash Scripting

Education

Bachelor's degree

Tools

AWS

Kubernetes

Containers

Automation Tools

Job description

• Support the transition and management of outsourced services to enhance client operations
• Collaborate with delivery teams to optimize processes and tools for managed services
• Engage in project management tasks to streamline operations and improve efficiency
• Apply automation frameworks to drive continuous process improvement
• Participate in the design and development of automation solutions for business processes
• Gather and analyze data to identify patterns and inform process optimization
• Contribute to service management strategies to meet client needs
• Assist in planning and executing deliverables to validate timely project delivery
• Engage with stakeholders to understand requirements and manage expectations
• Uphold professional and technical standards in alignment with firm guidelines
• Maintain reliable production systems on AWS
• Run Kubernetes and containers in production
• Own monitoring and observability using SLIs, SLOs, and error budgets
• Manage production incidents end to end, including on-call
• Use automation and AI-assisted tools in incident triage and resolution

Requirements

• At least a Bachelor's degree
• At least 2 years of experience
• Oral and written proficiency in English required
• Proven experience keeping production systems reliable on AWS in an SRE or similar role
• Hands-on experience running Kubernetes and containers in production
• Working knowledge of core AWS services and cloud-native operations
• Experience owning monitoring and observability and working to SLIs, SLOs, and error budgets
• Experience managing production incidents end to end, including on-call
• Scripting ability in Python and/or Bash
• Understanding of AI-assisted tools for operations and comfort using them in incident triage and resolution
• AWS Certified Solutions Architect - Associate, or actively working towards it

Core Competencies

Demonstrates expertise in managing production systems on AWS, with a strong focus on Kubernetes and container orchestration. Proficient in applying automation frameworks and AI-assisted tools to enhance operational efficiency and incident management.

Highest-signal resume keywords

• AWS Production System Management
• Kubernetes Container Management
• Monitoring and Observability Using SLIs and SLOs
• Incident Management and Resolution
• Python and Bash Scripting

ATS Optimization Keywords

Hard Skills

• AWS Services
• Kubernetes
• Automation Frameworks
• Data Analysis
• Process Optimization
• Incident Management
• Scripting in Python
• Scripting in Bash
• AI-Assisted Tools
• Service Management Strategies

Soft Skills

• Collaboration
• Stakeholder Engagement
• Communication

Certifications & Qualifications

• AWS Certified Solutions Architect - Associate

Industry Keywords

• Outsourced Services
• Managed Services
• Process Improvement
• Production Systems
• Cloud-Native Operations

Tools & Technologies

• AWS
• Kubernetes
• Containers
• Automation Tools