Site Reliability Engineer

Experience: 8+ Years

Location: Hyderabad / Bangalore

Mandatory Skills: Production Support, SRE, Linux/Unix, AI/ML Infrastructure Knowledge

Job Description:

• Provide production support for mission-critical applications, including incident management, troubleshooting, RCA, deployments, monitoring, and service restoration.
• Implement SRE practices to improve system reliability, availability, and performance.
• Support AI/ML platforms and GPU infrastructure; knowledge of GenAI and AI/ML workloads is preferred.
• Automate repetitive support activities using Python and Shell scripting.
• Monitor systems using tools such as Splunk and AppDynamics.
• Identify performance bottlenecks and drive continuous improvement.
• Collaborate with infrastructure, application, and business teams to resolve production issues.

Required Skills:

• 8+ years of experience in Production Support and SRE.
• Strong Linux/Unix administration and troubleshooting skills.
• Experience with incident management, RCA, monitoring, and automation.
• Knowledge of AI/ML platforms, GPU infrastructure, and GenAI concepts.
• Python/Shell scripting knowledge.
• Exposure to Hadoop, Spark, or Elasticsearch is an advantage.
• Willingness to work in 24x7 shifts.
• 
  

Job Summary:

We are looking for a Senior SRE/DevOps Engineer with strong experience in site reliability, automation, monitoring, observability, and production support. The candidate will be responsible for ensuring the reliability, availability, security, and performance of enterprise platforms.

Key Responsibilities:

• Own reliability, availability, security, and performance of enterprise browser platforms.
• Manage access and identity controls, Group Policy, and SAML/SSO integrations.
• Handle CI/CD deployments, configuration management, monitoring, and health checks.
• Develop automation and operational workflows using Python and Bash.
• Perform performance monitoring and production troubleshooting.
• Implement and maintain observability frameworks.
• Work with monitoring tools such as Datadog, Splunk, Dynatrace, Prometheus, and Grafana.
• Participate in incident management, RCA, and continuous improvement activities.
• Support highly available production environments in a 24/7 shift model.
• Collaborate with application, infrastructure, security, and operations teams.

Mandatory Skills:

• 10+ years of experience in SRE / DevOps.
• Strong hands-on experience in Python and Bash scripting.
• Experience with CI/CD and configuration management.
• Strong knowledge of monitoring and observability.
• Hands-on experience with Datadog, Splunk, Dynatrace, Prometheus, or Grafana.
• Experience with SAML/SSO, Identity & Access Management, and Group Policy.
• Banking domain experience.

Site reliability engineer - Experience: 5+ Years

Location: mumbai

Mandatory Skills: SRE (site reliability engineering) , aws cloud , and devops

Site reliability engineer - Experience: 8+ Years

Location: Hyderabad / Bangalore

Mandatory Skills: Production Support, SRE, Linux/Unix, AI/ML Infrastructure Knowledge

Job Summary

We are looking for an experienced Site Reliability Engineer (SRE) with strong expertise in networking, DNS, load balancing, and hybrid cloud environments. The candidate will be responsible for maintaining the reliability, availability, performance, and scalability of production infrastructure and services.

The ideal candidate should have strong troubleshooting skills and experience working across network, cloud, infrastructure, and application environments.

Key Responsibilities

• Monitor and maintain the availability and reliability of production systems and services.
• Troubleshoot complex network, infrastructure, and application connectivity issues.
• Manage and troubleshoot DNS services, DNS resolution, records, and configuration issues.
• Configure, manage, and troubleshoot Load Balancers and traffic routing.
• Work with Layer 4 and Layer 7 networking and understand TCP/IP, HTTP/HTTPS, routing, and network connectivity.
• Support hybrid cloud environments involving on-premises infrastructure and public cloud platforms.
• Troubleshoot connectivity between on-premises data centers and cloud environments.
• Participate in production incidents, troubleshooting, root cause analysis (RCA), and problem management.
• Develop automation scripts and tools to reduce manual operational activities.
• Configure and maintain monitoring, alerting, and observability solutions.
• Work closely with Network, Cloud, DevOps, Security, and Application teams.
• Participate in on-call support and resolve production issues within defined SLAs.
• Document infrastructure, troubleshooting procedures, incident reports, and operational processes.
• Identify opportunities to improve system reliability, performance, and scalability.

We are looking for an experienced SRE with DevOps expertise to ensure the reliability, availability, scalability, and performance of production systems. The candidate should have hands-on experience in cloud infrastructure, CI/CD automation, monitoring, incident management, and infrastructure as code.

Responsibilities

• Monitor production environments and ensure high availability, reliability, and performance.
• Build and maintain CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions.
• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
• Manage cloud infrastructure on AWS, Azure, or GCP.
• Work with Docker and Kubernetes for containerization and orchestration.
• Implement monitoring, logging, and alerting using Prometheus, Grafana, Splunk, ELK, or Datadog.
• Handle incident management, root cause analysis, troubleshooting, and post-incident reviews.
• Develop automation scripts using Python, Bash, or Shell scripting.
• Improve system reliability by reducing manual tasks, toil, and recurring incidents.
• Manage deployments, releases, disaster recovery, and production support activities.
• Define and monitor SLIs, SLOs, and SLAs to improve service reliability.

Required Skills

• Strong experience in SRE and DevOps practices.
• Hands-on experience with AWS / Azure / GCP.
• CI/CD tools: Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
• Infrastructure as Code: Terraform, Ansible, or CloudFormation.
• Containerization: Docker and Kubernetes.
• Scripting: Python, Bash, or Shell.
• Monitoring and observability: Prometheus, Grafana, Splunk, ELK, or Datadog.
• Strong Linux/Unix administration and troubleshooting skills.
• Experience in production support, incident management, and root cause analysis.
• Good understanding of networking, system performance, high availability, and disaster recovery.

We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps Engineering
• Production Support
• Linux Administration
• Cloud Infrastructure (AWS / Azure / GCP)
• Kubernetes and Docker
• CI/CD pipelines
• Monitoring and Observability
• Scripting using Python / Shell
• Incident Management and Root Cause Analysis

ob Summary

We are looking for an experienced Site Reliability Engineer (SRE) / Production Support Engineer with strong hands-on experience in application and production support, incident management, monitoring, cloud operations, automation, and infrastructure technologies.

The ideal candidate will be responsible for ensuring the availability, reliability, performance, and stability of production applications and infrastructure. The role involves troubleshooting critical production issues, monitoring applications and infrastructure, supporting deployments, managing incidents, and driving automation and operational improvements.

Key Responsibilities

• Provide L2/L3 Application and Production Support for critical business applications.
• Monitor production applications, infrastructure, batch jobs, and system health.
• Handle and troubleshoot critical production incidents, ensuring timely resolution and minimal business impact.
• Participate in Incident, Problem, and Change Management processes.
• Perform root-cause analysis (RCA) for recurring and major production issues.
• Troubleshoot issues related to applications, networks, load balancers, databases, operating systems, and infrastructure.
• Monitor application and infrastructure performance using Splunk, APM, and other monitoring tools.
• Create and maintain Splunk queries, dashboards, alerts, and operational monitoring.
• Support production deployments, including Blue-Green and Canary deployment strategies.
• Work with cloud infrastructure and perform day-to-day Cloud Operations activities.
• Manage and troubleshoot containerized applications using Docker and Kubernetes.
• Work with Terraform / Infrastructure as Code (IaC) for infrastructure provisioning and automation.
• Support Linux and Windows server administration.
• Develop and maintain Shell scripts and Python automation scripts to reduce manual operational activities.
• Monitor and analyze SLIs, SLOs, Error Budgets, and Burn Rates.
• Identify reliability risks and proactively implement solutions to improve system availability and performance.
• Collaborate with Development, DevOps, Infrastructure, Network, Database, and Cloud teams during production incidents.
• Leverage GenAI tools such as GitHub Copilot, Claude, or similar tools to improve troubleshooting, automation, documentation, and operational efficiency.
• Participate in on-call/shift-based production support as required by business and customer needs.

Mandatory / Key Skills

• Production / Application Support
• Incident Management
• Production Monitoring & Batch Monitoring
• Splunk – Queries, Dashboards & Monitoring
• APM / Application Performance Monitoring
• SLI / SLO / Error Budget / Burn Rate
• Cloud Operations
• Kubernetes
• Docker
• Terraform / Infrastructure as Code
• Linux & Windows Administration
• Shell Scripting
• Python Scripting / Automation
• Production Deployment Support
• Blue-Green & Canary Deployments
• Network, Load Balancing & Database Troubleshooting

​

Key Responsibilities

Platform Monitoring and Reliability

• Monitor the health and performance of EDM’s advertiser, publisher, broker, and internal platforms.
• Maintain monitoring, alerting, logging, and system-health dashboards.
• Investigate platform outages, degraded performance, failed transactions, delayed data, and integration errors.
• Respond to production incidents and coordinate resolutions with the appropriate engineers and vendors.
• Perform root-cause analysis and document corrective and preventive actions.
• Help maintain defined uptime, response-time, recovery-time, and system-reliability targets.
• Identify recurring problems and recommend permanent solutions.

Cloud Infrastructure and Systems Operations

• Maintain and support cloud infrastructure, servers, databases, networks, storage, and production environments.
• Support development, staging, and production environments.
• Assist with infrastructure scaling, system upgrades, patching, backups, and disaster recovery.
• Monitor cloud usage and help control infrastructure and technology costs.
• Maintain access controls, service accounts, certificates, domain configurations, and environment variables.
• Ensure production systems are properly documented and recoverable.

Deployment and Release Support

• Support safe and consistent application deployments.
• Maintain or improve continuous integration and deployment workflows.
• Coordinate release schedules, deployment validation, rollback procedures, and post-release monitoring.
• Help engineering teams identify configuration or infrastructure problems before releases reach production.
• Maintain deployment documentation, technical checklists, and change logs.
• Reduce manual deployment work through automation.

API and Integration Support

• Monitor and troubleshoot third-party APIs, webhooks, postbacks, dialer connections, CRM integrations, payment systems, tracking platforms, and compliance services.
• Investigate failed lead deliveries, missing postbacks, duplicate records, delayed reporting, and authentication problems.
• Support ping-post, real-time bidding, call-routing, SIP, and data-transfer workflows.
• Work with advertisers, publishers, and vendors to diagnose technical integration problems.
• Create clear documentation for common integration methods and troubleshooting procedures.
• Develop alerts that identify integration failures before clients report them.

Call and Lead Operations

• Monitor call-routing, tracking, recording, attribution, and disposition systems.
• Investigate calls that fail to route, connect, record, track, or report correctly.
• Support number provisioning, routing rules, caps, schedules, geographic restrictions, buyer availability, and failover logic.
• Validate that leads, calls, and transactions are properly attributed to the correct advertiser, publisher, campaign, and payout.
• Assist with discrepancies involving call duration, billable events, conversions, payouts, and reporting.
• Help protect revenue by identifying technical leakage and delivery failures.

Data and Reporting Support

• Monitor data pipelines, scheduled jobs, reporting processes, and database performance.
• Investigate discrepancies between platform reporting, billing records, payment records, and third-party systems.
• Write and maintain database queries for troubleshooting, validation, and operational reporting.
• Assist with data corrections using controlled and documented procedures.
• Support dashboards and operational alerts for revenue, margin, consumption, conversion, and platform activity.
• Maintain appropriate controls around production data access and modification.

Security and Access Management

• Support role-based access controls, multifactor authentication, audit logging, encryption, and secure system configuration.
• Provision and remove employee, contractor, client, and vendor access.
• Monitor suspicious activity and report potential security incidents.
• Assist with vulnerability remediation, security reviews, access audits, and incident-response procedures.
• Protect consumer, advertiser, publisher, employee, and company information.
• Follow company policies for credentials, production access, sensitive data, and change management.

Automation and Process Improvement

• Automate repetitive operational tasks using scripts, workflows, APIs, and infrastructure tools.
• Reduce manual work associated with monitoring, deployments, reporting, reconciliation, onboarding, and support.
• Build internal tools that improve visibility and response times.
• Identify operational bottlenecks that affect revenue, margin, client satisfaction, or employee productivity.
• Maintain clear runbooks and standard operating procedures for recurring technical tasks.

Technical Support and Documentation

• Serve as an escalation point for complex platform and integration issues.
• Translate technical problems into clear explanations for nontechnical teams.
• Create and maintain architecture diagrams, system inventories, runbooks, troubleshooting guides, and incident reports.
• Track incidents and technical requests through completion.
• Document known issues, temporary workarounds, permanent resolutions, and system dependencies.
• Participate in an on-call rotation for urgent production incidents.

First 90-Day Priorities

The successful candidate will be expected to:

• Learn EDM’s platforms, infrastructure, integrations, call-routing systems, reporting processes, and revenue workflows.
• Document critical systems, dependencies, credentials ownership, vendor contacts, and escalation procedures.
• Review existing monitoring, alerting, backups, access controls, and deployment procedures.
• Establish baseline metrics for uptime, incident volume, response time, recovery time, deployment success, and integration failures.
• Resolve high-priority recurring production and integration issues.
• Improve alerting for call-routing failures, API errors, delayed data, failed jobs, and reporting discrepancies.
• Create runbooks for the company’s most common and highest-risk technical incidents.
• Identify at least three meaningful automation or cost-saving opportunities.
• Participate in production support and demonstrate ownership of incidents through resolution.

Performance Expectations

Success will be measured by:

• Platform uptime and reliability
• Mean time to acknowledge and resolve incidents
• Reduction in recurring production problems
• Deployment success and rollback rates
• API, postback, webhook, and call-routing reliability
• Reporting and data accuracy
• Backup and recovery readiness
• Quality of technical documentation
• Security and access-control compliance
• Reduction in manual operational work
• Infrastructure costs relative to platform volume
• Responsiveness to internal teams, clients, and technical partners

Required Qualifications

• Three or more years of experience in operations engineering, DevOps, site reliability engineering, cloud infrastructure, systems administration, or production support.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience supporting Linux-based production environments.
• Working knowledge of networking, DNS, SSL certificates, firewalls, load balancing, and application security.
• Experience with relational databases and SQL.
• Experience troubleshooting REST APIs, webhooks, authentication, and third-party integrations.
• Familiarity with monitoring, logging, alerting, and incident-management tools.
• Experience with scripting languages such as Python, Bash, JavaScript, or PowerShell.
• Understanding of source control, deployment pipelines, and release management.
• Strong troubleshooting, documentation, and communication skills.
• Ability to prioritize incidents based on business and revenue impact.
• Availability to participate in an on-call rotation.

Preferred Qualifications

• Experience in ad-tech, mar-tech, affiliate marketing, lead generation, pay-per-call, telecommunications, or SaaS.
• Familiarity with SIP, VoIP, dialers, call-tracking platforms, routing systems, and phone-number provisioning.
• Experience with containers, infrastructure as code, and automated deployment tools.
• Experience with Docker, Kubernetes, Terraform, GitHub Actions, or similar technologies.
• Familiarity with payment processing, usage-based billing, reconciliation, and commission systems.
• Experience working with real-time bidding, ping-post, lead distribution, or high-volume transactional systems.
• Understanding of TCPA-related controls, consent records, DNC suppression, data privacy, or regulated marketing environments.
• Experience with security audits, disaster-recovery testing, and compliance documentation.

Ideal Candidate

The ideal candidate:

• Takes ownership instead of waiting for someone else to fix the problem.
• Remains calm and methodical during high-impact incidents.
• Understands the difference between applying a temporary fix and eliminating a root cause.
• Communicates technical problems clearly and directly.
• Recognizes that production reliability is a business and revenue responsibility.
• Automates repetitive work whenever practical.
• Documents systems so the company is not dependent on one person’s memory.
• Protects security and stability without creating unnecessary bureaucracy.
• Is comfortable working in a fast-moving entrepreneurial environment.
• Can manage competing priorities while maintaining attention to detail.

Required Skills:

• Strong experience in Site Reliability Engineering (SRE) and DevOps practices.
• Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.
• Strong knowledge of AWS, Azure, or GCP cloud platforms.
• Experience with Docker, Kubernetes, and container orchestration.
• Hands-on experience with Terraform, Ansible, or other Infrastructure as Code (IaC) tools.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Splunk, ELK, or Datadog.
• Good scripting skills in Python, Bash, or Shell scripting.
• Understanding of SLI, SLO, SLA, error budgets, and service reliability.
• Experience in incident management, troubleshooting, root-cause analysis (RCA), and production support.
• Knowledge of system performance monitoring, capacity planning, high availability, and disaster recovery.
• Experience with Linux/Unix administration and networking fundamentals.
• Familiarity with Agile methodologies, Git, and automated deployment practices.