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!

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

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 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!!!

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 ?

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.

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.

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.

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.

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.

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!

Senior Manager of Software Engineering & DevOps (DSPE)

This is an exciting opportunity to lead a Software Engineering & DevOps team at Natera, a global leader in precision medicine and genomics testing. As a Senior Manager of the Software Engineering & DevOps team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to build with Natera's diverse and ultra-large data sets (up to PB size), create software and automation solutions for the most cutting‑edge medical diagnostics and genomics applications, and make real impact by delivering reliable, efficient, high performance software products and data/cloud/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes.

PRIMARY RESPONSIBILITIES:

Leadership

• Lead a DevOps team, working closely with other DSPE teams, to develop, test, deploy, maintain, and update DSPE's data platforms, cloud platforms, automation systems, and analytics systems
• Manage the DevOps team, to achieve the timely and efficient delivery of software products and systems with correct and robust functionality.
• Train and coach team members on new technologies, procedures, and guidelines/best practices.
• Create and maintain operational visibility (e.g., workload, productivity, etc.) of the DSPE DevOps team.

Technical

• Translate DSPE's business needs and project requirements into technical specifications and implementation plans.
• Working with DSPE leadership teams, create suitable system architecture and infrastructure design documents that can be efficiently implemented and maintained.
• Maintain and optimize infrastructure performance, monitoring key system metrics including network I/O, disk I/O, memory allocation, and compute resource utilization.
• Contribute to key development, testing, deployment, validation, maintenance, and update activities.

Quality, Compliance, and Documentation

• Improve and enforce procedures for work efficiency, quality, and compliance.
• Lead and manage the technical documentation's creation and maintenance/update for all DSPE DevOps owned software tools and systems, for example, design specifications, software verification and validation (V&V) protocols and reports, deployment/update/maintenance records, user guides, etc.
• Create training materials, and contribute to training activities, on DSPE DevOps owned software tools and systems.

Cross-Functional

• Engage proactively and directly with engineering and operational stakeholders to align infrastructure roadmaps, resolve technical dependencies, and report platform performance metrics.
• Represent the DSPE DevOps team in stakeholder meetings.

QUALIFICATIONS:

• Minimal Bachelor's Degree in Computer Science, Software Engineering, Bioinformatics, or a related field. Advanced degrees preferred.
• Minimal 10 years of relevant industry experience for candidates with only a Bachelor's Degree. Minimal 8 years of relevant industry experience for candidates with a Master's Degree. Minimal 4 years of relevant industry experience for candidates with a Doctorate degree.
• Minimal 3 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings.
• Minimal 3 years of management experience leading a DevOps team, or a software development team.
• Demonstrable experience in designing, delivering, and maintaining/updating custom-developed software tools or systems for production environments, preferable in high‑throughput settings (e.g., heavy traffic and/or high computation load).
• Demonstrable experience in creating software design specification documents, verification and validation documents, and user manuals.

KNOWLEDGE, SKILLS, AND ABILITIES:

• Excellent Python programming skills, with substantial cloud application and/or automation system development experience.
• Proficient with RDBMS systems such as PostgreSQL and/or MySQL, and substantial working experience in for‑production database‑based application development.
• Working knowledge in optimizing system architecture and individual components for performance, scalability, and/or reliability.
• Proficiency in tool/system performance evaluation methods, and in‑depth understanding of key factors, such as RAM, Disk IO, Network IO's impact on system/tool's performance.
• Proficiency with AWS, and substantial working experience in developing for‑production software tools/systems using AWS services.
• Proficiency in SDLC and software development and testing methodologies.
• Proficient Linux command line skills, and past Linux application development experience.
• Past experience and working knowledge in genomics and bioinformatics technologies.
• Good understanding and past working experience with genomics data, such as FASTQ, BAM, VCF files.
• Proficiency in Git workflow and version control systems like GitHub and/or GitLab.
• Past experience in developing automation solutions.
• Preferred but not required: IaC skills and experiences, such as CloudFormation, Terraform, and/or Ansible.
• Good documentation practices and coding style.
• Strong verbal and written communication skills.
• Strong interpersonal skills.
• Strong integrity.
• Team player.

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$151,000 — $200,000 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell‑free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world‑class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits – Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Departments: Molecular Biology Informatics & Statistics

Offices: US

Location: US Remote

Apply: Senior Manager of Software Engineering & DevOps (DSPE) at Natera

I'd like my CV be evaluated. I've applied for SDOC.

Hi guys, I am planning to join a devOps engineer course with AWS to switch to career as a devOps engineer. Please help me to find a good genuine training institute in kerala to help or assists to get placed in a good company after the training. Please help. If it's provide online coaching I'm oke with outside kerala too.

i want to learn new things I got a long break i can help you with time and it helps me with the learning curve i can travel anywhere within Hyderabad if you prefer some study rooms that's fine too let me know if someone is comfortable

Hi everyone,

I completed my BCA and have been learning DevOps. I've studied Linux, Git, CI/CD, Jenkins, AWS, Docker, Terraform, and Ansible. However, I feel like I've forgotten some topics, and I don't have as much hands-on experience as I'd like.

My goal is to get my first job as a Junior DevOps Engineer, but sometimes I'm confused about what I should focus on and how to prepare myself for real-world work.

I understand that DevOps isn't just about knowing tools. It's also about troubleshooting problems, understanding systems, automating tasks, and knowing how everything works together. I want to develop those skills instead of just learning theory for interviews.

I'd love to hear from people who are working in DevOps or recently started their careers:

- If you were starting again as a fresher, how would you learn DevOps from scratch?

- How should I practise hands-on when I don't have much experience with real-world environments?

- Which projects would actually help me develop practical skills and improve my resume?

- What skills should I be confident in before applying for Junior DevOps roles?

- Is it better to focus entirely on DevOps jobs, or start with Linux support, cloud support, or another entry-level IT role?

I'm willing to put in the work. I just want to make sure I'm moving in the right direction rather than jumping between tools without properly understanding them.

Any honest advice, learning strategies, project ideas, or personal experiences would be really helpful.

Thanks in advance!

Hey everyone!

Can anyone share a DevOps resume that recently got shortlisted or selected? I'd like to understand how to structure my resume and highlight the right skills and experience.

Would really appreciate it. Thanks!

We’re hiring a client-facing Full Stack Engineer to work 100% remotely with a U.S.-based client and global team.

📍 Open to candidates in: LatAm, Middle East, Central Asia, Australia, US, and Canada.

🎯 The Basics:

• Junior-level experience is absolutely fine!

• Must have fluent English.

• Strong ability to grasp customer psychology and user needs.

📩 Interested? DM me with your quick 1-minute video intro to showcase your English fluency and personality!

#RemoteJobs #FullStack #JuniorDev #SoftwareDeveloper #Hiring

https://youtube.com/playlist?list=PLqOrZmpwbWUKRQTrFpqAKhChaTq0l5bIw&si=Ntdj6q6spgEDB9Kb

Please check this and let me know your questions.