DevOps Engineer (GCP - Google cloud platform)

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

We are looking to fill the role of AWS devops engineer . To join our growing team, please review the list of responsibilities and qualifications.

Responsibilities:

• Engineer solutions using AWS services (Cloud Formation, EC2, Lambda, Route 53, ECS, EFS )
• Balance hardware, network, and software layers to arrive at a scalable and maintainable solution that meets requirements for uptime, performance, and functionality
• Monitor server applications and use tools and log files to troubleshoot and resolve problems
• Maintain 99.99% availability of the web and integration services
• Anticipate, identify, mitigate, and resolve issues relating to client facing infrastructure
• Monitor, analyse, and predict trends for system performance, capacity, efficiency, and reliability and recommend enhancements in order to better meet client SLAs and standards
• Research and recommend innovative and automated approaches for system administration and DevOps tasks
• Deploy and decommission client environments for multi and single tenant hosted applications following and updating as needed established processes and procedures
• Follow and develop CPA change control processes for modifications to systems and associated components

Practice configuration management, including maintenance of component inventory and related documentation per company policies and procedures.

Qualifications :

• Git/GitHub version control tools
• Linux and/or Windows Virtualisation (VMWare, Xen, KVM, Virtual Box )
• Cloud computing (AWS, Google App Engine, Rackspace Cloud)
• Application Servers, servlet containers and web servers (WebSphere, Tomcat)
• Bachelors / Masters Degree - 2+ years experience in software development
• Must have experience with AWS VPC networking and security

DevOps Engineer

Job Description:

The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.

Skills:

• Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
• Strong hands-on over Ansible is preferred
• Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
• Should have core knowledge in Linux and System operations.
• Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
• Conduct and automate audits for network and systems infrastructure.
• Do software deployments, per documented processes, with no impact to customers.
• Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
• Troubleshoot connectivity problems across network, systems or applications.
• Follow security guidelines, both policy and technical to protect our customers.
• Ability to automate recurring tasks to increase velocity and quality.
• Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
• Should have knowledge and hands-on experience in managing ELK clusters.
• Scripting Knowledge in Shell/Python is added advantage.
• Hands-on Experience over K8s based Microservice Architecture is added advantage.

Engineering Leader, Cloud Infrastructure.

Bengaluru, Karnataka, India

Do you thrive on solving complex technical problems? Do you want to be at the cutting edge of technology? If so,we’re interested in speaking with you!

Your Impact:

We’re looking for a seasoned engineering leader in the Cloud team that is responsible for building, operating, and maintaining a customer-facing DBaaS service in multiple public clouds (AWS, GCP, and Azure). The service supports unified multiverse management of YugabyteDB, including fault-domain aware provisioning, rolling upgrades, security,

networking, monitoring, and day-2 operations (backups, scaling, billing etc). If you’re a strong leader who exemplifies collaboration, who is driven and thrive in a fast-paced startup environment, and who has a strong desire to build an internet-scale, extensible cloud based service with strong emphasis on simplicity and user experience, this job is for

you.

You Will:

Lead, inspire, and influence to make sure your team is successful

Partner with the recruiting team to attract and retain high-quality and diverse talent

Establish great rapport with other development teams, Product Managers, Sales and Customer Success tomaintain high levels of visibility, efficiency, and collaboration

Ensure teams have appropriate technical direction, leadership and balance between short-term impact andlong term architectural vision.

Occasionally contributing to development tasks such as coding and feature verifications to assist teamswith release commitments, to gain an understanding of the deeply technical product as well as to keepyour technical acumen sharp.

You'll need:

BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams

Strong fundamentals in distributed systems design and development

Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management

Experience running production services in Public Clouds such as AWS, GCP, and Azure

Experience with running large stateful data systems in the Cloud

Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization,orchestration, elastic scalability)

A great track record of shipping features and hitting deadlines consistently; should be able to move fast,build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them

Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team.

ABOUT US: TURGAJO TECHNOLOGIES PVT TLD (http://www.turgajo.com">www.turgajo.com )

We are a product-based company, on a mission to capitalize on the evolution of new technologies and the new opportunities they present. We develop cutting-edge software solutions for the service industry and are working on some exciting projects that we believe have the power to fundamentally change and enhance the systems used by businesses every day.

ROLE AND RESPONSIBILITIES

  At least 3+ years of experience as a system administrator.

• Knowledge of server technologies (cloud and on-prem).
• Work with both development and QA teams with a focus on automating builds & deployments.
• Knowledge of a range of current information technologies and computing platforms, such as cloud computing, Monitoring systems (Azure, AWS, VMw.are, commvault), Automation Tools (Azure/AWS Cloud, SCCM).
• Good Knowledge of Cloud-Based Software like Azure and AWS.
• Proficiency to manage the CI/CD process cycle includes the complete knowledge of Jenkins/TFS and Github.
• Ensure team collaboration using Jira, Confluence, and other tools.
• Build environments for unit tests, integration tests, system tests, and acceptance tests.
• Experience with virtualization (Azure, AWS, VMware).
• Experience and hands-on experience in Azure and AWS platforms.
• Azure and AWS monitoring and log analysis.
• Azure and AWS server and network security.
• Cloud-native engineer.
• Automate infrastructure provisioning and configuration (PowerShell scripting, etc.).
• Fixing skills, problem-solving, and resolution (root cause identification).
• VM’s deployment.
• Azure and AWS Site Recovery.
• Excellent Communication Skill is Mandatory.

QUALIFICATIONS AND EDUCATION REQUIREMENTS

• Bachelor's degree in computer science or related field required
• 3 years of experience in hands-on DevOps engineering
• Working experience with C#
• Maintain and administer Jenkins systems
• Expert in using Azure and AWS toolkits
• Good understanding of cloud application design patterns and practices preferably AWS
• Ability to quickly learn new technologies
• Strong problem-solving skills
• Excellent oral and written English communication skills
• Experience implementing CI/CD
• Experience using a wide variety of open source technologies and cloud services
• Experience with infrastructure automation solutions (Ansible, Chef, Puppet, etc.)
• Experience with Azure and AWS
• Defined and implemented the configuration for high throughput and scale with capacity planning load balancing strategies.

PREFERRED SKILLS

Experience with Jenkins or any other CI/CD tool

Strong experience in automating CI/CD & application deployment using various tools like GitLab, Jenkins, and AWS.

Please email your resume at hraturgajodotcom