SRE with Network

SRE – Network / DNS / Load Balancer

Experience: 7–11 Years

Location: Hyderabad

Work Mode: WFO

Availability: Immediate Joiner

Job Description:

• Strong experience in Site Reliability Engineering (SRE) with focus on infrastructure and application reliability.
• Hands-on experience with Network, DNS and Load Balancer troubleshooting and administration.
• Monitor system performance, availability, latency and infrastructure health.
• Troubleshoot network connectivity, DNS resolution, routing and load-balancing issues.
• Experience with load balancers such as F5, BIG-IP, HAProxy or similar technologies.
• Good understanding of TCP/IP, HTTP/HTTPS, LAN/WAN, SSL/TLS and networking concepts.
• Experience with DNS technologies such as BIND, Infoblox or equivalent.
• Work on incident management, root cause analysis and problem resolution.
• Collaborate with application, network, cloud and infrastructure teams to resolve production issues.
• Experience with monitoring and alerting tools such as Splunk, Grafana, Prometheus, AppDynamics or similar tools.
• Strong troubleshooting, production support and communication skills.
• Willingness to work from Hyderabad office (WFO) and join immediately. 

About the Role

We are looking for a proactive and detail-oriented Senior Site Reliability Engineer (SRE) to ensure the reliability, performance, and availability of our applications. The role involves monitoring production systems, troubleshooting issues, and collaborating with cross-functional teams to drive faster resolution and continuous improvement. You will play a key role in maintaining system stability and enhancing observability across our microservices-based platform.

Key Responsibilities

• Handle MFS application issues by investigating, troubleshooting, and escalating to engineering teams when needed
• Perform initial root cause analysis (RCA) and support resolution of recurring or moderately complex issues
• Ensure timely incident resolution in line with SLAs, including proper documentation of fixes and workarounds
• Identify and analyze system bottlenecks, and assist in deploying fixes via change management processes
• Collaborate with cross-functional teams (Development, SRE/DevOps, QA, Business) to resolve incidents and improve systems
• Use observability tools (Grafana, Loki, ELK) to monitor system health, availability, performance, and resiliency
• Participate in incident/severity calls, ensuring clear communication and coordination
• Develop and maintain knowledge bases, SOPs, and runbooks for standardized operations and troubleshooting

Required Skills & Experience

• Strong understanding of Linux/Unix systems for application support
• Hands-on experience troubleshooting applications in staging and production environments
• Ability to monitor system performance and identify root causes using logs and metrics
• Experience working with Kubernetes and microservices-based architectures
• Proficiency in observability and monitoring tools such as Grafana, Loki, and ELK (Elasticsearch, Logstash, Kibana)
• Familiarity with CI/CD practices and tools (e.g., Jenkins, GitOps)
• Experience in API testing and validation using tools like Postman and Swagger/OpenAPI
• Hands-on experience with PostgreSQL and MongoDB for troubleshooting and ad-hoc reporting
• Experience with ticketing and documentation tools such as Jira and Confluence
• Minimum 4+ years of experience in application support or reliability engineering

Education & Certifications

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Relevant certifications (Cloud, Kubernetes, Microservices) are a plus

Work Schedule

• Willingness to work in a 24x7 environment, including weekends and on-call rotations

SRE / Success Engineering role focused on production operations, reliability, AWS infrastructure, monitoring, incident management, and platform support for the ZT platform.

Core responsibilities include:

• Production monitoring and debugging of live systems.
• Incident investigation, troubleshooting, and problem resolution.
• AWS cloud infrastructure support and maintenance.
• Deployment and operational support activities.
• Supporting a 24x7 production environment.
• Working with GitHub-based development workflows.
• Technical debt remediation and platform improvements.
• Customer issue investigation and support.
• Security and compliance-related work, including FedRAMP initiatives.

Preferred Skills:

AWS (especially S3 and EC2)

Strong debugging and troubleshooting skills

Site Reliability Engineering (SRE) experience

GitHub experience

Basic software development skills

TypeScript/JavaScript knowledge

C# preferred

AI experience is a plus.

Candidate should be a hands-on engineer with strong AWS, SRE, operational ownership, production support, and debugging capabilities, rather than a pure application or full-stack developer.

We're looking for a Site Reliability Engineer to keep our production systems fast, reliable, and scalable. Sitting at the intersection of software engineering and operations, you'll treat infrastructure as code, automate away toil, and build the observability that lets us catch problems before customers do. You'll own uptime and on-call for critical services, lead incident response and blameless postmortems, and continuously harden the platform against failure. This role suits an engineer who is as comfortable debugging a production incident at 2 a.m. as they are writing the automation that prevents the next one.

Key Responsibilities

• Own reliability, availability, and performance of production services, including on-call rotation
• Build and maintain monitoring, alerting, and observability (metrics, logs, traces)
• Automate deployments, scaling, and operational tasks to reduce manual toil
• Manage containerized workloads on Kubernetes and cloud infrastructure
• Design and maintain CI/CD pipelines for safe, frequent releases
• Lead incident response and drive blameless postmortems with clear follow-ups
• Perform capacity planning, performance tuning, and cost optimization
• Define and track SLIs/SLOs and error budgets with product teams

Requirements

• 3+ years in SRE, DevOps, or production-focused engineering
• Strong Linux administration and hands-on Kubernetes experience
• Solid experience with monitoring/observability tools (Prometheus, Grafana, ELK, or similar)
• Cloud experience with AWS, GCP, or Azure
• CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation)
• Proficient scripting in Python and/or Bash

Nice to have

• Experience with service meshes, Helm, or GitOps (ArgoCD/Flux)
• Background in high-traffic or distributed systems

Job Title: Senior Site Reliability Engineer 

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 6+ years

About Compnay

It is driving the electric mobility revolution through cutting-edge software, infrastructure, and professional services. Our technology empowers utilities, cities, fleets, transit agencies, and automakers to deploy EV charging infrastructure at scale safely, efficiently, and sustainably. With a global footprint spanning three continents and operations in 13 countries, we are passionate about shaping the future of sustainable transport.

Operating over 70,000 charge points globally, It is driving the transition toward cleaner, smarter, and more efficient mobility. The India team serves as a critical operational hub, supporting global platforms focused on decarbonization, digitalization, and scalable infrastructure growth.

We value purpose-driven individuals who want to make a meaningful impact and help create a cleaner, smarter, and more connected world.

Role Overview

We are seeking a skilled and proactive Site Reliability Engineer (SRE) to join our growing team. In this role, you will be responsible for maintaining system reliability, scalability, and performance across our EV charging platforms. You will collaborate closely with development and operations teams to build resilient, automated, and observable systems.

Key Responsibilities

• Ensure high availability, performance, and reliability of production systems
• Design, implement, and manage scalable infrastructure solutions
• Build and maintain CI/CD pipelines for efficient software delivery
• Monitor system health using observability tools and respond to incidents proactively
• Automate operational processes using scripting and Infrastructure as Code (IaC)
• Manage containerized environments using Docker and Kubernetes
• Collaborate with cross-functional teams to improve system architecture and resilience
• Participate in on-call rotations and incident management processes
• Continuously optimize cloud infrastructure for cost, performance, and scalability

Required Qualifications & Skills

• Bachelor’s degree in Computer Science, IT, or related field
• 4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure roles
• Strong experience with containerization (Docker) and orchestration (Kubernetes)
• Proficiency in Linux administration, networking, and system security
• Hands-on experience with cloud platforms, especially AWS (EKS, EC2, S3, RDS, Lambda)
• Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or similar
• Knowledge of Infrastructure as Code tools (Terraform, AWS CloudFormation, Ansible)
• Proficiency in scripting languages (Python, Bash, or PowerShell)
• Experience with monitoring tools like Dynatrace, Prometheus, Grafana, or Zabbix
• Solid understanding of system architecture, microservices, and SaaS/PaaS models
• Strong analytical and problem-solving skills   

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

Site Reliability Engineer (SRE) / DevOps Engineer (Walk-In Drive)

Location: Gurgaon Experience: 3–6 Years

About the Role

We are looking for a hands-on Site Reliability Engineer (SRE) / DevOps Engineer with strong programming and automation skills.

The role will initially involve development and automation work, helping the engineer build a strong understanding of the applications and platform. Over time, the role will expand into broader DevOps and SRE responsibilities, including CI/CD, cloud infrastructure, observability, production reliability, incident management, and operational automation.

The ideal candidate should be comfortable working with both application code and production systems and should use engineering and automation to improve reliability and reduce manual effort.

Key Responsibilities

· Develop and enhance internal applications, automation tools, APIs, utilities, and platform capabilities using Python.

· Write clean, maintainable, testable, and production-ready code.

· Participate in code reviews, debugging, testing, and technical discussions.

· Build, maintain, and improve CI/CD pipelines and automated deployment processes.

· Work with Docker and Kubernetes for application deployment and operations.

· Support on prem and cloud-based application and infrastructure deployments.

· Maintain reliable, scalable, secure, and highly available production environments.

· Implement and manage monitoring, logging, alerting, and observability solutions.

· Contribute to defining and tracking SLIs, SLOs, and error budgets.

· Troubleshoot application and production issues and perform Root Cause Analysis (RCA).

· Identify recurring operational problems and address them through automation and engineering improvements.

· Support incident response, change management, deployment governance, and disaster recovery practices.

· Maintain runbooks, SOPs, incident documentation, and technical documentation.

· Collaborate with Engineering, Product, Platform, Security, Operations, and external teams.

Technical Skills

· Strong hands-on experience with Python for development and automation.

· Experience developing scripts, APIs, integrations, utilities, or backend services.

· Good understanding of software engineering principles, debugging, logging, testing, and exception handling.

· Experience with REST APIs, JSON, Git, pull requests, and code reviews.

· Strong knowledge of Linux/Unix environments and basic Windows administration.

· Good understanding of networking concepts including DNS, TCP/IP, HTTP/HTTPS, load balancing, and firewalls.

· Experience with at least one cloud platform: AWS, Azure, or GCP.

· Hands-on experience with Docker and Kubernetes.

· Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or equivalent.

· Familiarity with Infrastructure-as-Code tools such as Terraform is preferred.

· Experience with monitoring and observability tools such as Grafana, Prometheus, Power BI, or equivalent.

· Ability to analyze logs, metrics, alerts, and traces for troubleshooting.

· Understanding of SRE concepts including SLIs, SLOs, availability, reliability, error budgets, and RCA.

· Experience with JIRA, ServiceNow, and Confluence is desirable.

Preferred Experience

· 3–6 years of experience in SRE, DevOps, Platform Engineering, Cloud Engineering, or related roles.

· Strong Python development or automation experience.

· Experience supporting applications across development, deployment, and production environments.

· Exposure to cloud-native, distributed, or production-grade systems.

· Understanding of security and compliance best practices.

· Familiarity with AI-assisted engineering tools such as GitHub Copilot, Claude Code, or similar tools.

Soft Skills

· Strong analytical and troubleshooting skills.

· Engineering and automation mindset.

· Good written and verbal communication skills.

· Effective cross-functional collaboration.

· Ownership-driven approach to problem solving.

· Ability to remain structured during production incidents.

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

Senior Platform & Site Reliability Engineer

Location: Remote Employment Type: Contract

The Role

This role carries full architectural and operational ownership of the platform layer across a growing SaaS portfolio. The Cloud Architect owns AWS infrastructure standards — VPCs, account structures, networking, and compute design. Everything outside that lane is yours: the CI/CD platform, the observability and reliability stack, the event streaming infrastructure, the deployment pipelines, and the incident engineering model.

Architectural decisions are yours to make and defend, standards are yours to define and enforce, and the reliability of 20+ enterprise SaaS products depends on what you and your team build.

This is an AI-native engineering organisation. Where it is practical and safe to do so, you are expected to use automation and AI-assisted tooling to reduce toil — in CI/CD triage, infrastructure provisioning, observability workflows, and acquisition onboarding. The expectation is not to replace engineering judgement with automation, but to free it up for the problems that genuinely require it.

The Scale You Will Operate At

The portfolio consists of 20+ live, enterprise-grade SaaS solutions running concurrently. Each product serves enterprise customers and processes millions to billions of real-time requests. The architecture is serious: event streaming for real-time data pipelines, batch processing workloads running alongside live transaction flows, and multi-tenant enterprise-grade reliability expectations across every product.

You will design and operate the platform infrastructure that underpins all of it — scaling horizontally as each new acquisition joins the portfolio, without proportionally scaling cost, complexity, or headcount.

What You Will Own

Platform Architecture

• Full architectural ownership of the non-AWS toolchain: CI/CD, observability, event streaming, automation, secrets, and deployment infrastructure
• Define, build, and enforce platform standards across portfolio products
• Terraform IaC for all infrastructure — nothing provisioned manually, everything versioned and reviewed
• Self-service developer platform so product teams ship without waiting on platform

Event Streaming & Pipeline Infrastructure

• Own the event streaming architecture, operational standards, and health monitoring across all products using real-time pipelines
• Design and maintain batch processing infrastructure alongside live event flows
• Ensure pipeline reliability, throughput, and cost are actively managed at scale

CI/CD & Deployment

• Build and maintain CI/CD pipelines (GitHub Actions) across all portfolio products
• Automate triage and retry logic for known failure classes — flaky tests, dependency timeouts, OOM kills — so engineers are only paged for genuinely novel failures
• Deployment standards: release management, rollback mechanisms, canary and blue-green patterns where justified

Observability & Reliability

• Own the full observability stack: Grafana, Prometheus, and Loki across all products
• SLOs and error budgets defined per product; reliability tracked consistently
• Build alerting that correlates signals and surfaces diagnostic context alongside notifications — so on-call engineers arrive at an incident with hypotheses, not a blank screen
• Incident response: on-call design, escalation playbooks, post-mortem facilitation
• Automated remediation scoped to safe, idempotent actions — container restarts, ECS task scaling, known rollback patterns; novel or ambiguous failures escalate to a human with full context attached

Acquisition Onboarding

• Platform audit and gap analysis for every new acquisition — assessing CI/CD maturity, IaC coverage, observability gaps, and security posture
• Migration plan and execution for each portfolio company joining the platform — sequenced to avoid disrupting live operations
• Target: full platform integration within a defined window per acquisition

A Note on Automation

Where automation is safe and failure modes are well understood — routine provisioning, known CI/CD failure classes, secrets rotation, cost anomaly flagging — aggressive automation is expected. Where automation would act on ambiguous signals or carry significant blast radius, human judgement stays in the loop. The goal is to reduce toil on solved problems, not to automate decisions that require engineering expertise.

Platform Stack

Area Stack / Standard IaC Terraform OSS / OpenTofu CI/CD GitHub Actions Event Streaming Architecture and tooling chosen for the workload Observability Grafana, Prometheus, Loki Log Management AWS CloudWatch, Grafana Loki Incident Management OpsGenie (startup tier) or Better Uptime Secrets AWS Secrets Manager / HashiCorp Vault OSS Containers ECS (default), EKS only where justified Cost Monitoring AWS Cost Explorer with custom dashboards What We’re Looking For

• 8–12 years in platform engineering, DevOps, or SRE — with clear evidence of increasing ownership over time
• Strong Terraform depth across multi-environment, multi-account setups
• CI/CD ownership across a multi-product environment with GitHub Actions
• Experience with event streaming infrastructure at production scale — design, operations, reliability, and cost management
• Hands-on Grafana, Prometheus, and Loki in production
• AWS operational depth: ECS, EKS, RDS, IAM, VPC, CloudWatch, Cost Explorer
• SRE fundamentals: SLOs, error budgets, on-call design, post-mortem culture
• Acquisition or greenfield platform integration experience strongly preferred

How You Work

• Comfortable operating across multiple products simultaneously — context-switching without dropping standards
• Cost-efficiency instinct — you optimise spend as a habit, not as a project
• You treat automation as a tool for eliminating toil, not a substitute for engineering judgement
• You document decisions, enforce standards through code, and build platforms that other engineers find intuitive to use

Why This Role

The platform function is being built from the ground up. You will have architectural ownership of the entire non-AWS platform layer across a growing portfolio of enterprise SaaS products, with the freedom — and responsibility — to build the reliability and delivery culture of the organisation.

This is not a role that inherits someone else’s decisions and maintains them. Every major architectural choice is still to be made. If you want to build something that lasts and that other engineers depend on, this is the role.

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.

Read less

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.