Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 3 hours agoWe saw it 46 min after it went up

Site Reliability Engineer

Jobgether3,797 open roles

Where
India
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSite Reliability EngineerJobgether · India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Jobgether's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Jobgether postings stay open a median of 5 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 3 hours ago

Jobgether median: 5 days open

The posting

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Site Reliability Engineer based in India.

This is a fully remote engineering role focused on building resilient, highly available, and scalable production systems. You will operate at the intersection of software engineering, cloud infrastructure, observability, and platform reliability. The role involves designing automation, strengthening monitoring, reducing operational toil, and improving the reliability of cloud-native services. You will work extensively with AWS and GCP, Kubernetes, Terraform, and modern GitOps practices while supporting mission-critical systems. You will also contribute to disaster recovery, incident response, and reliability engineering standards across distributed services. This opportunity is well suited to an engineer who enjoys solving complex production problems through code and continuously improving operational maturity.

Accountabilities

  • Design, deploy, and maintain highly available, reliable, and performant production systems and APIs across AWS and GCP.
  • Define and operationalize SLIs, SLOs, and error budgets in partnership with application engineering teams.
  • Build and improve end-to-end observability across microservices and cloud infrastructure using Datadog or comparable monitoring platforms.
  • Implement actionable monitoring around the Golden Signals—latency, traffic, errors, and saturation—to improve detection times and reduce unnecessary alerts.
  • Participate in on-call rotations, incident response, troubleshooting, and blameless post-incident reviews, using incidents to drive systemic improvements.
  • Manage production Kubernetes environments, including EKS clusters, container orchestration, and GitOps delivery workflows using tools such as Argo CD and Kargo.
  • Provision, manage, and secure multi-cloud infrastructure using modular Terraform and Infrastructure-as-Code practices.
  • Develop and maintain disaster recovery dashboards, runbooks, failover automation, and validation tests aligned with defined RTO and RPO targets.
  • Build production-grade Python or Go automation tools and scripts to eliminate repetitive operational work and reduce engineering toil.
  • Use AI-assisted development tools to accelerate scripting, runbook creation, troubleshooting, and incident triage.
  • Monitor cloud infrastructure costs, support resource optimization, and improve cost visibility through appropriate allocation and FinOps practices.
  • Configure and troubleshoot production service meshes and high-availability proxy solutions.
  • Contribute to CI/CD, DevSecOps, resilience testing, secrets management, and other platform engineering initiatives where required.
  • Proactively identify reliability, performance, security, and operational improvements across the production environment.
  • 5+ years of professional software engineering experience in Site Reliability Engineering, DevOps, Platform Engineering, or a related discipline supporting 24/7 mission-critical systems.
  • Strong hands-on programming skills in Python or Go, with experience building SRE tools, automation, scripts, and cloud integrations.
  • Production experience operating Kubernetes clusters and containerized workloads, including experience with GitOps tools such as Argo CD.
  • Strong Infrastructure-as-Code experience using Terraform, including writing, maintaining, and modularizing configurations.
  • Direct experience operating cloud workloads on AWS or GCP, with knowledge of services such as EKS, IAM, VPC networking, Route 53, ALB/NLB, or comparable cloud infrastructure.
  • Practical FinOps experience, including cost-allocation tagging, resource right-sizing, cloud cost analysis, or development of cost-visibility dashboards.
  • Experience designing or operating disaster recovery solutions, conducting failover exercises, and monitoring recovery metrics.
  • Strong observability and incident-management experience using Datadog or similar tools, PagerDuty, alerting systems, and SLI/SLO frameworks.
  • Hands-on experience configuring and troubleshooting production service meshes such as Istio or equivalent technologies.
  • Experience managing high-availability proxy solutions such as HAProxy, NGINX, or comparable platforms.
  • Strong troubleshooting and problem-solving skills, with a demonstrated ability to improve operational efficiency through engineering and automation.
  • Experience with CI/CD platforms such as GitHub Actions or GitLab Pipelines is preferred.
  • Familiarity with chaos engineering or resilience testing in staging or production environments is a plus.
  • Knowledge of secrets-management solutions such as HashiCorp Vault, AWS Secrets Manager, or External Secrets Operator is beneficial.
  • Basic understanding of DevSecOps practices and Infrastructure-as-Code security scanning and remediation is preferred.
  • Strong collaboration and communication skills, with the ability to work effectively across distributed engineering teams.
  • Fluent written and spoken English, as the role involves working with global teams and conducting interviews and business communication primarily in English.
  • Willingness and ability to participate in an on-call rotation and respond during assigned shifts.
  • Fully remote position for candidates based in India.
  • Opportunity to work on highly available, mission-critical cloud-native systems at scale.
  • Hands-on exposure to AWS, GCP, Kubernetes, Terraform, GitOps, observability, and modern reliability engineering practices.
  • Opportunity to use AI-assisted engineering tools to improve automation, incident response, and development productivity.
  • Significant scope to influence platform resilience, operational maturity, disaster recovery, and engineering efficiency.
  • Collaboration with experienced, globally distributed engineering teams.
  • Fast-paced SaaS environment offering challenging technical problems and opportunities for continuous learning.
  • Opportunity to contribute to reliability standards and engineering practices across distributed systems.
  • Supportive environment that values collaboration, innovation, continuous improvement, and technical ownership.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Jobgether's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Jobgether's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Jobgether's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.