Hey everyone,

Looking for some perspective from senior engineers or architects who have managed to build a side income or solo business on the side.

Here's my dilemma. I'm currently with a large UK firm. My day-to-day involves high-level system design, multi-region architecture, platform engineering, and enterprise governance.

I'd love to start a side business (father of 2 and another one's on the way). Naturally, leveraging my background would be ideal, though I'm open to other areas. And honestly, it doesn't even have to be about tech as long as it makes money.

Our client is a leading technology-driven organization leveraging cloud infrastructure, artificial intelligence, and large-scale data platforms to deliver innovative digital experiences. The company operates complex, high-availability systems and promotes collaboration across international engineering teams.

We are looking for an experienced DevOps Engineer to support the development, deployment, and operation of a large-scale AI-powered personalization platform. The ideal candidate has strong expertise in Linux, cloud infrastructure, automation, and container orchestration, with a proven track record of maintaining reliable production systems.

In this role, you will collaborate with software engineers, data scientists, and infrastructure specialists to improve platform scalability, automate delivery processes, and ensure high availability across cloud and on-premises environments. This is an excellent opportunity for an engineer who enjoys solving complex technical challenges and driving continuous improvements in infrastructure reliability and operational efficiency.

Key Responsibilities

Platform Operations

• Operate, maintain, and continuously improve production infrastructure supporting large-scale recommendation and personalization services.
• Participate in production operations, incident response, root-cause analysis, and service recovery.
• Establish operational standards and improve service reliability and maintainability.

Infrastructure Engineering

• Design, implement, and manage scalable, highly available, and fault-tolerant infrastructure across public cloud and on-premises environments.
• Optimize infrastructure performance, resource utilization, and operational costs.
• Support the deployment and operation of distributed applications and data-intensive workloads.

Automation & Continuous Delivery

• Develop and maintain CI/CD pipelines to improve the speed, consistency, and safety of software releases.
• Implement infrastructure as code and configuration management practices.
• Automate repetitive operational tasks using scripting and software engineering best practices.

Monitoring & Reliability

• Build and maintain monitoring, logging, alerting, and observability solutions.
• Define and improve operational metrics to identify performance bottlenecks and prevent service disruptions.
• Troubleshoot complex issues involving applications, infrastructure, networking, and distributed systems.

Cross-functional Collaboration

• Work closely with software engineers, data scientists, and platform engineering teams to bring AI models and services into production.
• Coordinate with cloud, network, and infrastructure teams to resolve technical challenges and improve platform capabilities.
• Share technical knowledge and contribute to engineering standards across geographically distributed teams.

Continuous Improvement

• Evaluate emerging technologies, tools, and operational practices.
• Identify opportunities to improve automation, reliability, scalability, and engineering productivity.
• Contribute to the evolution of infrastructure supporting real-time processing and deployment across multiple regions.

Technical Environment

• Programming & Scripting: Python, Groovy, Shell scripting
• Cloud & Infrastructure: Google Cloud Platform (GCP), Linux, on-premises infrastructure
• Containers & Orchestration: Docker, Kubernetes
• Infrastructure Automation: Terraform, Ansible, Infrastructure as Code
• CI/CD: Jenkins, GitLab CI/CD, Cloud Build
• Monitoring & Logging: Prometheus, Grafana, ELK Stack
• Data & Distributed Systems: Apache Spark, Apache Kafka, NoSQL databases

Required Qualifications

・Bachelor's degree or above in Computer Science, Computer Engineering, System Administration or a related technical field.

・More than 5 years of experience in building, deploying and operating production-grade services. (Ideally 7+ years of professional experience)

・Strong experience with Linux systems and shell scripting.

・Experience with automation and infrastructure-as-code tools (e.g., Terraform, Ansible, Chef).

・Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD, Cloud Build).

・Experience with containerization and orchestration (Docker, Kubernetes).

・Hands-on experience with a major cloud platform, preferably GCP (More than 3 years).

・Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).

・Knowledge of distributed systems and high-availability architectures.

・Good understanding of networking fundamentals.

・Awareness of good development practices (pull requests, unit tests, continuous integration and delivery).

・Business-level communication skills in English, and the ability to work in an international, distributed team of senior engineers.

Preferred Qualifications

・Scripting or development experience in Python, Scala, Java or Ruby.

・Previous experience with Spark, Kafka, Couchbase or Redis.

・GCP Professional Cloud Engineer or equivalent certification.

・Contributions to open-source projects.

・Interest in data analytics, machine learning and personalization systems.

Working Environment

Fast-paced, dynamic global environment with collaborative teams across multiple locations

Salary: ¥9M – ¥12M JPY per year (Senior Level)
Location: Hybrid (4 days in the office, 1 day remote)
Office Location: Tokyo, Japan
Working Hours: Flexible schedule with core hours from 11:00 AM to 3:00 PM
Visa Sponsorship: Available
Language Requirement: English only

Apply now or contact us for further information:
[Aleksey.kim@tg-hr.com](mailto:Aleksey.kim@tg-hr.com)

[Hiring] Recrutez pentru mai multe roluri IT în București – Go, Kubernetes, Cloud, Security, Java, Engineering Management

Salutare tuturor! 👋

Sunt recruiter IT și în perioada aceasta lucrez la câteva oportunități tehnice pentru echipe internaționale, în special în zona de Cloud Infrastructure, Software Engineering, Platform Engineering și Cybersecurity.

M-am gândit să le las și aici, poate sunt persoane interesate sau cunoașteți pe cineva care ar fi potrivit.

📍 Locație: București (modalitatea de lucru diferă în funcție de rol)

1. Engineering Manager – Cloud Platform

• Go (Golang), Kubernetes, Cloud Infrastructure
• Technical Leadership & People Management
• Experiență cu sisteme distribuite și platforme cloud
• Potrivit pentru Engineering Managers sau Tech Leads cu experiență hands-on

2. Senior Cloud Engineer

• Go (Golang), Kubernetes, Linux
• OpenStack, Terraform, Infrastructure as Code
• Cloud Infrastructure, automatizare și sisteme distribuite
• Experiență solidă în Platform Engineering / DevOps

3. Senior Cloud Security Platform Engineer

• Kubernetes Security, OpenStack, Linux Security
• Go/Python, Terraform, HashiCorp Vault
• SIEM/EDR, SentinelOne, Kyverno/OPA, eBPF
• Cloud Security, DevSecOps și Security Automation

4. Senior Software Engineer – Cloud Infrastructure (IaaS)

• Go / Golang, Cloud Infrastructure
• OpenStack, Kubernetes, Linux
• API Development, Distributed Systems, Automation
• Dezvoltarea și scalarea serviciilor de infrastructură cloud

5. Senior Software Engineer – Java

• Java, Spring Boot, AWS, Kubernetes
• Microservices și sisteme enterprise
• Germană B2+ obligatorie
• București, hybrid

6. Test Architect / QA Architect

• Test Architecture & Automation
• Test Strategy, CI/CD, Quality Engineering
• Experiență în proiecte software complexe și colaborare cu echipe tehnice

Ce este important de știut?

✅ Roluri cu responsabilități tehnice complexe și oportunități de dezvoltare

✅ Echipe internaționale și tehnologii moderne

✅ Senioritatea și cerințele exacte diferă în funcție de poziție

✅ Pot oferi mai multe detalii despre proiect, responsabilități, beneficii și procesul de recrutare în privat

Dacă unul dintre roluri vă atrage atenția, îmi puteți scrie direct în DM, cu rolul care vă interesează și, dacă aveți, un profil LinkedIn sau GitHub.

Nu trebuie să fiți neapărat în căutare activă. Putem avea și o discuție exploratorie.

De asemenea, dacă știți pe cineva cu experiență în Go, Kubernetes, OpenStack sau Cloud Security, recomandările sunt binevenite.

Mulțumesc și spor la coding! 🚀

Hey everyone,

I'm Saboor, a DevOps Engineer with 5 years of experience.

In the last 4 months I cracked 8 offer letters in DevOps.

Now I will be teaching you:

- How to find a DevOps job
- How to crack interviews (real questions that were asked to me)
- Resume tips, roadmaps, and salary negotiation tips

If you are looking for a job or preparing for interviews, connect with me on Instagram. Link is on my profile.
instagram

Happy to help.
- Saboor

I'm interested in how candidates prepare for practical DevOps and Linux interviews.

Imagine you're asked to investigate one of these situations:

• A Linux server suddenly shows high CPU usage.
• A production service is down, but the process is still running.
• A Docker container keeps restarting.
• An EC2 instance is unreachable over SSH.
• An application cannot access an S3 bucket.
• A Bash script fails when run through cron but works manually.

Which scenario would you find most challenging, and what would you investigate first?

I'm exploring ways to help candidates practise these kinds of questions in mock interviews, including Linux, Production Support, Docker, AWS (EC2, EKS and S3), and Bash/python scripting

I'd love to hear what candidates are struggling with most right now.

Hi there i am freshly graduated and looking for a job in devops/cloud i have done projects in my internships where i touched many things like
SSO Entra ID configuration of sonarqube
Security best practices: Identity Federation to authenticates ci/cd to ARM
Devsecops with (DAST) Owasp ZAP to scan authenticated backends and SAST with SonarQube
Deployment of initila config with terraform and helm chart on aks
I did the gateway api and DNS records , debugging is inmy skill
i did migration of Ingress nginx to gateway api with envoy since it's goiing to be deprecated

I did automation to generate test cases in jira with ai through pythin and ai token

in my personal projects:
i worked on SRE with Grafana and prometheuse, sending aletrs through emails whenever there is something wrong to us

built a k8s from ec2 instances to understand how things work

i have certs:
- AWS SAA - AZ-104 - RHCSA - RHCE(completed a course)

But i still can not find a job in devops
please dm me if anyone can help find a decent job
location: Morocco + Europe if there is visa sponshorship

I’m a DevOps Engineer from LATAM with 7+ YOE, currently making around $53k USD/year.

I’ve been testing the market lately, and most opportunities seem to fall within the $36–54k range, with very few offering more.

For those making $80–100k+ while based in LATAM, how did you get there?

What’s your experience, technical expertise, and how did you land your role?

Any advice for those of us trying to break past that salary ceiling?

can i get a job with Azure sertificate as a junior devops engineer ? help me guys, need your advices

DEVOPS ENGINEER ******** Services (SaaS Platform) | Jan 2020 - Present

Architected a custom dynamic content caching strategy using a third-party CDN to front AWS infrastructure, slashing AWS data egress fees and reducing origin load by 25%.

Slashed customer environment provisioning time from 30 minutes to under 5 minutes by developing a Python serverless onboarding API utilising AWS Lambda and API Gateway.

Built and operated hardened production Amazon EKS environments, managing secure RBAC, ingress controllers, autoscaling, and node lifecycles to guarantee infrastructure reliability and scalability.

Engineered an Ansible powered Internal Developer Platform (IDP) that automated Docker provisioning with self-configuring reverse proxies, automated SSL renewals, and container self-healing.

Applied a defensive engineering mindset to production operations, treating every infrastructure update as a potential failure vector; designed automated rollback mechanisms and strict canary testing that significantly minimised deployment blast radiuses.

Provisioned and managed multi-environment AWS infrastructure using modular, reusable Terraform code, successfully eliminating configuration drift and enforcing deployment consistency.

Automated CI/CD and GitOps delivery via GitHub Actions and Argo CD, shifting security left by embedding policy engines, SAST, DAST, and container vulnerability scanning into the release pipeline.

Eliminated repetitive operational tasks by developing a comprehensive library of reusable Python and Bash scripting tools, streamlining troubleshooting and incident response triage.

Maintained 99.99% application availability by engineering comprehensive monitoring and alerting topologies across AWS and EKS environments using Prometheus, Grafana, and CloudWatch.

Guaranteed an aggressive 1-hour RPO and 30-minute RTO by implementing automated hourly backup pipelines and regularly executing simulated disaster recovery restore workflows.

Developed a Django based customer onboarding platform integrated with Stripe payments, seamlessly handling 2,500+ monthly active users and streamlining registration pipelines.

Hi everyone!

I'm currently looking for my first opportunity in IT infrastructure and would really appreciate any job leads, referrals, or guidance from this community.

My background:

\- BBA graduate with 1.5 years of professional experience in operations at Cotiviti India.

\- Completed Linux System Administration training (RHCSA-level) and Cloud & DevOps training.

\- Hands-on practice with RHEL, VMware, AWS EC2, Ansible, Git/GitHub, Bash scripting basics, users and permissions, LVM, SELinux, firewalld, systemd, and troubleshooting.

\- Worked on Linux and cloud-related hands-on projects as part of my learning.

Roles I'm looking for:

\- Junior Linux System Administrator

\- Linux Support / Linux Engineer (Fresher)

\- Junior DevOps Engineer

\- Cloud & DevOps Intern / Trainee

\- Junior System Administrator

I'm primarily looking for fresher-friendly roles that offer an opportunity to learn and grow. I'm open to opportunities across India, including Kerala, Bangalore, Chennai, Hyderabad, and other locations.

If your company has any suitable openings or you could refer me to a relevant role, I'd be very grateful. Any advice from people who started their careers in Linux or DevOps would also be appreciated.

I can share my resume via DM.

Thank you for your time and support!

I’ve been working in software for about 15 years, mostly backend, and I specialize in Go. I also have around 3 years of DevOps/SRE experience, though that was about five years ago and in a small company.

Lately, my backend role is almost entirely prompting and reviewing AI-generated code. At my company, even people who aren’t engineers can open PRs.. Management thinks that "help" us, but thanks no thanks, 1k+LOC PR is not helping anyone... They want us to build some magical "harness" that will produce exactly the feature you want with all good practices embedded.
I worry that my job is heading toward purely supervising AI-driven workflows rather than writing and designing software.

I’ve been considering moving back toward SRE, platform, or DevOps work. Perhaps it's naive, but I think it's less exposed to the AI frienzy, as it's not directly part of product. I get that a lot of things get automated (incident response, dashboard) but that's kind of in the spirit of devops ?
I see it as more job secure and more interesting in this day and age, as you'll always need people to run your infra for ai workflows (right anakin ?)

Also part of the appeal is that these roles seem more available where I live, while remote backend jobs have been hard to find. Devops skills can be reused in a lot of company of various sizes.

Question for you: how has AI changed your day-to-day work? Is it making the work more interesting, or just shifting more of it toward reviewing generated configs and automation? How do you see it evolving or enduring ?

Hi everyone,

I just finished my Computer Engineering coursework in Mexico City (degree paperwork in progress) and I have no formal job experience yet. My hands-on experience is my university social-service project: I designed and deployed a web portal on a physical server with 2 GB of RAM using FastAPI, Nginx, K3s, Argo CD and MySQL. I also built a personal GitOps/SLO project with Prometheus and Grafana.

I’m studying for the CKA (KodeKloud + Killer.sh), and after that I plan to take the Terraform Associate and build a small Terraform project on AWS. Longer term, I’d like to move toward DevSecOps. I’m also starting to learn how AI agents work, since I think knowing how to supervise them will matter.

To be honest, the job search has been tough and I’ve been feeling a bit down lately, so I really appreciate any advice and experiences you’re willing to share.

Questions:

1. For entry-level cloud ops / Linux admin / infra-adjacent roles, does a CKA help a candidate with no job experience, or do recruiters mostly ignore it?
2. How do you see the path from DevOps to DevSecOps? Is it a realistic branch for someone just starting out, and what would you focus on first (IAM, secrets management, container/IaC scanning, something else)?
3. Does my order (CKA → Terraform → AWS project) make sense, or would you change it?

Thanks, any honest feedback is welcome!!!

Most interview advice tells you what to say. The harder part is delivering a clear answer under pressure.

ZoeVera Interview Prep (https://prepare.zoevera.com) lets you practice answering interview questions on camera and get feedback on your responses, including speaking pace, filler words, structure, and relevant terminology.

You can tailor practice to a job role, company, and job description. It offers behavioral and technical interview practice, with sample answers to compare against your own.

It won’t guarantee a job or replace real interview experience, but it can help you spot weaknesses before an actual interview.

Worth considering if you have an interview coming up and want more than a list of common questions.

I'm looking to connect with someone who has strong, hands-on experience with Apache Kafka in production environments.

I'm particularly interested in expertise across Kafka architecture, cluster operations, partitioning and replication, performance tuning, reliability, troubleshooting, and production-scale deployments.

Deep technical expertise matters more than prior training experience. I'm looking for someone who understands how Kafka works under the hood, has dealt with real-world production challenges, and can translate that experience into practical, technically rigorous learning.

If this sounds like you, or you know someone who fits the bill, let's connect. Please DM me with a brief overview of your Kafka experience.

I have been studying devops/cloud technologies in parallel to my job and trying to change my roles but not getting any interview, every posted job for cloud roles requires experience, i am so frustrated of not getting any interview call. Suggest something I can do.

Hello I’m looking for volunteer work in devops. Please suggest how can I find it? If there is any slack and any other groups. I do have certificates as well. Thanks

Hi everyone, so I'm currently in my 2nd year of college computer science program. And I dont really know what to do, what to study for, and these past few days i became curious about devops, I learned that it really is not an entry level job so im thinking of putting my time into this. My question is would you say that devops is good as a career and what would you suggest to learn first.

If your platform or DevOps function is stretched thin, or a senior hire is stuck in the pipeline, we can step in as a fractional platform lead: roadmap, CI/CD modernization, on-call maturity, and mentoring your engineers, scoped monthly with a clear hours cap.

No long-term lock-in. I can send a one-page overview if useful.

Hey everyone,

I'm currently working in a defence IT environment, managing and troubleshooting Linux/Red Hat servers, storage, networking, databases, replication, and other production systems including whole IT infrastructure.

The experience has been valuable, but I'm worried the tools and technologies I'm working with might not be relevant outside this domain. I had previously learned AWS, Terraform, Ansible, Docker, and DevOps deeply, but that knowledge is slowly fading since I'm not using it regularly.

I want to switch to Cloud/DevOps but feel confused about how to bridge the gap. Am I overthinking this, or should I focus on rebuilding my DevOps skills through projects while using my Linux and infrastructure experience as a foundation?

Would really appreciate guidance from someone experienced or a senior who has made a similar transition.

I’m from Mumbai and recently graduated from college. I got a full-time DevOps job after working as a Linux Administrator for 6 months.

I’m facing a lot of difficulties in my new organization because they’re using a very advanced tech stack and architecture that I’m not familiar with.

They started assigning me tasks without really knowing whether I have the knowledge or experience to handle them.

I’m working remotely, and unfortunately, there isn’t really anyone available to guide or mentor me. Everyone is busy completing their own work, so I’m often left struggling to troubleshoot issues on my own. There’s also a lot of micromanagement, which makes the situation even more stressful.

Right now, I’m trying to understand their architecture and learn all the tools and technologies they’re using, but it’s overwhelming.

Has anyone been in a similar situation? How did you handle it? Any advice on how I can survive, learn the environment quickly, and become productive without constantly depending on others?

Hi

I have around 1.5 years of experience as a DevOps Engineer and recently cleared the first round for a DevOps/SRE role.

The first round was quite technical, and I struggled with a few questions because I couldn't explain some concepts in the depth expected. Somehow, I still cleared it, and now I'm happy but also anxious about the second round on Monday

The next round will be face-to-face, and I'm overthinking what they might expect from me.

The job description mentions around 10–15 tools and technologies, and I'm struggling to figure out how deeply I should prepare each one. I have hands-on experience with several of them, but I'm not equally confident in everything.

So when I am studying linux I feel like oh let's practice k8s troubleshooting first, no no networking part please then what about AWS scenario and architecture questions, Waitt what if I couldn't explain things from my resume such a bad impression but worst impression if I couldn't recall that linux command which is so basic... That's how I wasted 5-6 days and now I am left with 2 days for preparation

Would really appreciate some advice on how to prepare without overwhelming myself!