Site Reliability Engineer

Role Overview

Results-driven Site Reliability Engineer with experience in building and scaling observability solutions across cloud-native and data engineering platforms on AWS. Skilled in leveraging Dynatrace, Splunk, Datadog, and OpenTelemetry to implement proactive monitoring, define SLIs/SLOs, and enhance service reliability.

Experienced in collaborating with developers, platform engineers, and business stakeholders to embed observability into the software delivery lifecycle and improve operational excellence.

Proficient in automating infrastructure and monitoring deployments using Terraform, Ansible, Jenkins, and AWS services, while developing actionable dashboards, telemetry pipelines, and AIOps-driven solutions to improve system performance and customer experience.

Primary Responsibility

Hands-on experience using Apache Spark for batch data processing.

Familiarity with AWS services such as Amazon S3, AWS Glue, AWS Lambda, AWS Step Functions, AWS Batch, and CloudWatch.

Experience working with structured and semi-structured data formats, including Parquet and JSON.

Experience across the full software development lifecycle and application lifecycle management tools such as Bitbucket and Jira.

• Collaborate with Business Units (BUs), Developers, and Platform Engineers to embed observability into the software delivery lifecycle and improve developer experience.
• Define and implement SLIs/SLOs and error budgets with Business Units to support reliability engineering and improve service health visibility.
• Enhance operational excellence by enabling proactive monitoring, reducing customer pain points, and streamlining incident workflows.
• Amplify AIOps outcomes by integrating observability data into intelligent automation and decision-making across technology and business teams.
• Design and implement monitoring and observability solutions using Dynatrace and Splunk (must-have), along with Datadog and Open Telemetry, to build scalable, automated, and developer-friendly platforms
• Develop reusable patterns, templates, and automation scripts to drive consistency across observability practices and reduce manual effort in telemetry onboarding.
• Build and maintain dashboards that deliver actionable insights into system performance, reliability, and user experience.
• Integrate observability into CI/CD workflows using Jenkins and related tooling to enable continuous feedback and faster incident detection.
• Automate infrastructure provisioning and deployment using Terraform and Ansible to support observability at scale.
• Implement and manage Open Telemetry pipelines for standardized collection of traces, metrics, and logs, supporting vendor-agnostic ingestion strategies.

AWS & Cloud Operations

Manage and operate systems hosted on AWS (EC2, EKS/ECS, RDS, S3, Lambda, CloudWatch, IAM, VPC)

Support cloud deployments and infrastructure changes following best practices

Assist with backup, disaster recovery, and resiliency planning

Incident Management

Participating in production incident response, troubleshooting, and service restoration

Perform root cause analysis (RCA) and contribute to post‑incident reviews

Help implement preventive actions to avoid incident recurrence

Reliability & Operations

Support high availability, scalability, and performance of production systems

Implement and maintain SLIs, SLOs, and SLAs for services

Identify and reduce operational toil through automation and process improvement

Support design and implementation of fault tolerant and resilient systems

Collaboration

Work closely with application and Engineering teams to embed reliability into system design

Act as a strong team player, sharing knowledge and supporting team goals

Communicate effectively with technical and nontechnical stakeholders

Overall: 5+ years of experience in production support and building scalable, automated, and developer-friendly observability platforms.

• Cloud Expertise: Minimum 3+ years of hands on experience with AWS environments Must have Skills Cloud platform expertise: AWS, with 3+years of experience Monitoring & observability: Over 3 years of hands-on experience with Dynatrace, Splunk, and Datadog, with expertise in developing dashboards using logs, metrics, and traces Good to have Hands-on experience with Data Engineering concepts and working on similar AWS-based projects.

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