Lead | Senior Site Reliability Engineer

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

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We are looking for an SRE with DevOps expertise to maintain production system reliability, availability, and performance through automation, monitoring, and efficient incident management.

Responsibilities

• Monitor production systems and troubleshoot incidents.
• Manage Linux/Unix servers and cloud infrastructure.
• Develop and maintain CI/CD pipelines.
• Automate operational tasks using scripting.
• Manage infrastructure using Terraform or Ansible.
• Work with Docker and Kubernetes.
• Perform root cause analysis (RCA) and improve system reliability.

Required Skills

• SRE and DevOps experience.
• Linux/Unix administration.
• AWS, Azure, or GCP.
• CI/CD tools: Jenkins, GitLab, or GitHub Actions.
• Docker and Kubernetes.
• Terraform and Ansible.
• Python, Shell, or Bash scripting.
• Monitoring tools: Prometheus, Grafana, Splunk, or Datadog.
• Incident management and troubleshooting.

Senior Cloud Site Reliability Engineer (CSRE) – Azure

About Searce:

Searce is an AI-native, engineering-led modern technology consultancy that empowers

clients to futurify their businesses by delivering real, intelligent business outcomes. As a

trusted partner for over 3,000 clients globally, Searce specializes in cloud modernization,

data engineering, applied AI, and robust cloud platform security. Driven by a "HAPPIER"

cultural mindset and our proprietary evlos problem-solving framework, we eliminate

bureaucratic fluff to build working prototypes fast and scale enterprise production

environments intelligently. We don't just fix systems; we leverage multi-cloud technologies

to transform client operations into distinct competitive advantages.

Position Overview:

We are looking for a high-caliber Senior or Lead Cloud Site Reliability Engineer (CSRE) to

architect, secure, and stabilize next-generation hybrid and multi-cloud environments.

Operating at the intersection of infrastructure design, security compliance, and production

operations, you will serve as the technical Subject Matter Expert (SME) across GCP, Azure,

and AWS.

Whether optimizing a microservice mesh on GKE, tuning autoscaling on AKS, or driving a

massive disaster recovery drill across AWS regions, your focus will be absolute reliability. For

the Lead path, you will couple this deep engineering toolkit with stakeholder management

and mentorship to drive an elite operational culture.

Experience & Level Expectation:

Years of Experience: 3 to 10 years of intensive, hands-on production operations

experience in a dedicated DevOps, Cloud Platform Engineering, or SRE role.

Associate level (3-5 Years): Expected to show flawless execution of IaC, advanced

triaging of infrastructure failures, and ownership of the CI/CD and deployment

lifecycles.

Intermediate level (5-10 Years): Expected to take architectural ownership, serve as

primary Incident Commander for complex outages, design cross-cloud governance

frameworks, and act as a reliable bridge between technical teams and client

leadership.

Key Responsibilities & Role Expectations:

Multi-Cloud Platforms & Orchestration: Design, configure, and maintain

production-grade Kubernetes clusters across major platforms (AKS).

Manage advanced network routing, service meshes (e.g., Istio), and multi-tenant

isolation.

Infrastructure as Code (IaC) & GitOps: Build declarative, enterprise-grade, reusable

infrastructure components using Terraform or Crossplane. Standardize automated

environment provisioning to eliminate configuration drift across multi-branch

environments.

Incident Management & Reliability (SRE): Own and optimize the production on-call

rotation. Lead rapid mitigation strategies for Sev-1/Sev-2 system outages, reducing

Mean Time to Recovery (MTTR) through centralized log and metric correlation.

Root Cause Analysis (RCA): Facilitate rigorous, blameless post-incident reviews to

identify core architectural vulnerabilities and establish long-term fixes preventing

recurrence.

Lifecycle, Patching & Upgrades: Plan and execute zero-downtime cluster upgrades,

operating system patching strategies (Linux/Windows), database lifecycle updates,

and multi-region Disaster Recovery (DR) failover drills.

Core Core Operations & Legacy Integration: Manage enterprise-level hybrid

networking architecture (VPCs, Firewalls, Load Balancers, DNS routing, and DHCP

configurations) while effectively connecting cloud native services to legacy

infrastructures like Active Directory.

Security & Governance: Embed Zero Trust policies, secure secrets management

(Secrets Manager/Key Vault), and continuous vulnerability patching into the

automated SDLC pipeline.

Required Technical Skills:

- Microsoft Azure: Azure Virtual Machines, Virtual Networks, Azure Active Directory, Azure Update Management.

- Containers & Orchestration

• Production-level management of GKE, AKS, and EKS.
• Advanced mastery of Docker, Helm, Kubernetes StatefulSets, Pod Disruption

Site Reliability Engineer (SRE) / Production Support Engineer

Experience: 5–10 Years

Location: Hyderabad

Work Mode: Face-to-Face Drive

Shift: Rotational Shifts

Job Description

Looking for an experienced SRE / Production Support Engineer with strong experience in application and production support, incident management, monitoring, troubleshooting, and cloud operations.

Key Skills

Production Support, Incident Management, Splunk, APM, SLI/SLO, Cloud, Kubernetes, Docker, Terraform, Linux/Windows Administration, Shell Scripting and Python.

Good understanding of production deployments, batch monitoring, network/load balancing, and troubleshooting is required.

Candidates from SRE, Production Support, Application Support, Cloud Operations, or DevOps backgrounds are preferred.

Responsibilities:

• Add a new feature to existing infrastructure platforms.
• Collaborate across teams and lead technical discussions with clients and internal teams.
• Mentor junior team members through mob-pairing/1:1 pairing sessions.
• Adapt to different roles and technologies as project needs evolve.
• Proactive mindset with excellent client communication, collaboration, and writing skills.
• Use methodologies like Agile and Lean to manage projects and deliverables.
• Document technical solutions and knowledge for team reference.
• Stay current with industry trends and emerging technologies.

Requirements:

• Experience with managing large-scale infrastructure systems.
• Experience as a reliability engineer is good.
• Proficiency in at least one programming language.
• Good understanding of software delivery principles.
• Ability to adapt to different roles and technologies when needed

Required Technical Skills:

• You have spent some time building software systems or self-service systems for internal teams.
• You have a good understanding of Linux, software-defined, and cloud networking.
• You have work experience in configuration management and using tools like Ansible and Chef.
• You must have a good understanding of continuous integration and continuous delivery concepts, not just tools.
• Experience with tools like Jenkins, GitHub Actions, GitLab CI, etc. is required.
• It would be a plus if you have worked with GitOps tools like Argo CD or Flux CD.
• You are familiar with the cloud-native ecosystem and tools like Prometheus, OpenTelemetry, and Envoy.
• In-depth understanding of containers and container orchestrators like Nomad, Kubernetes, etc.
• You should deeply understand managing and organizing infrastructure as code and have worked with tools such as Terraform, Pulumi, CloudFormation, and AWS CDK.
• You are familiar with at least one primary cloud provider, such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
• You understand observability well and can collaborate with dev teams to improve their observability systems.
• You have a good understanding of the principles of distributed systems.
• You understand how SQL and NoSQL databases work and what is needed to manage them.
• You have familiarity with basic cloud security.

Site reliability engineer - Experience: 5+ Years

Location: mumbai

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

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

Role Overview: Take full ownership of infrastructure architecture, scaling, and uptime. Establish the technical roadmap, shape and formalize the SRE function, and coach engineers. Design, deploy, and run AI-scale infrastructure that enables real-time healthcare workflows.

Serve as a Founding Member, owning end-to-end infrastructure capabilities and introducing AI-first DevOps, SRE, and MLOps best practices, with direct collaboration alongside the Founder, Co-Founder, and Head of Engineering.

Key Responsibilities:

Architecture & Platform

• Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads
• Lead IaC standards and reusable modules org-wide; own GitOps practices
• Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration

Reliability Engineering

• Define and drive reliability targets (SLOs/SLIs); establish SRE practice
• Lead incident management, RCA, and blameless post-mortems for critical systems
• Partner on infrastructure hardening and compliance (SOC 2, HIPAA)

AI-First Engineering

• Lead AI/ML inference and GPU infrastructure scaling in production
• Evaluate and introduce AI tooling, platforms, and automation best practices
• Contribute to LLM deployment pipelines and AI systems reliability

Leadership & SDLC

• Mentor L1/L2 engineers; influence cross-team infrastructure decisions
• Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
• Evaluate and introduce new tooling and platforms

Key Requirements:

• 4–8 years infrastructure/platform/DevOps/SRE
• Deep expertise in AWS & GCP large-scale production systems
• Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)
• AI/ML inference or GPU infrastructure scaling (production track record)
• Strong Terraform / equiv. and GitOps practices
• Python, Go, or Bash scripting and automation
• Track record in scale, reliability, and cost efficiency
• Lead incident response and on-call practices

Nice-to-Have

• LLM Gateway architecture and optimization
• Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)
• DevSecOps maturity: SBOM, supply-chain security, policy-as-code
• Open-source contributions or platform-team leadership

Why This Role?

• Build infrastructure and products powering real-world healthcare AI
• Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
• Mission-driven impact — improve patient outcomes and save thousands of staff hours
• High ownership, rapid learning, and significant career upside
• Global collaboration across India and the US
• Seed-stage growth — scale from Seed to Series A alongside the team
• Founding Member role and own the entire infrastructure capabilities, including bringing best AI-first practices in DevOps, SRE and MLOps; direct access to work with the Founder, Co-Founder and Head of Engineering

Job Summary

We are looking for an experienced SRE DevOps Engineer to manage production infrastructure, improve system reliability, automate operational tasks, and support scalable cloud environments. The candidate should have strong experience in Site Reliability Engineering (SRE), DevOps tools, monitoring, incident management, and automation.

Key Responsibilities

• Monitor application and infrastructure performance to ensure high availability and reliability.
• Manage production incidents, troubleshooting, root cause analysis, and resolution.
• Implement and maintain CI/CD pipelines for automated deployments.
• Manage cloud infrastructure on AWS, Azure, or GCP.
• Automate repetitive operational tasks using Python, Shell, or Bash scripting.
• Work with Docker, Kubernetes, and container orchestration technologies.
• Implement monitoring and alerting using tools such as Prometheus, Grafana, Splunk, or Datadog.
• Manage infrastructure as code using Terraform or Ansible.
• Define and monitor SLIs, SLOs, and SLAs.
• Collaborate with development, infrastructure, and support teams to improve system reliability.
• Participate in on-call support and disaster recovery activities.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps and Production Support
• Linux/Unix Administration
• Cloud Platforms: AWS, Azure, or GCP
• CI/CD Tools: Jenkins, GitLab CI, or GitHub Actions
• Scripting: Python, Shell, or Bash
• Docker and Kubernetes
• Monitoring and Observability: Splunk, Grafana, Prometheus, or Datadog
• Incident Management and Root Cause Analysis

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.