Cloud Solutions Architect

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.

JOB DETAILS:

* Job Title: Lead I - Azure, Terraform, GitLab CI 

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 3-5 years

* Location: Trivandrum/Pune

Job Description

Job Title: DevOps Engineer

Experience: 4–8 Years 

Location: Trivandrum & Pune 

Job Type: Full-Time

Mandatory skills: Azure, Terraform, GitLab CI, Splunk

Job Description

We are looking for an experienced and driven DevOps Engineer with 4 to 8 years of experience to join our team in Trivandrum or Pune. The ideal candidate will take ownership of automating cloud infrastructure, maintaining CI/CD pipelines, and implementing monitoring solutions to support scalable and reliable software delivery in a cloud-first environment.

Key Responsibilities

• Design, manage, and automate Azure cloud infrastructure using Terraform.
• Develop scalable, reusable, and version-controlled Infrastructure as Code (IaC) modules.
• Implement monitoring and logging solutions using Splunk, Azure Monitor, and Dynatrace.
• Build and maintain secure and efficient CI/CD pipelines using GitLab CI or Harness.
• Collaborate with cross-functional teams to enable smooth deployment workflows and infrastructure updates.
• Analyze system logs, performance metrics, and s to troubleshoot and optimize performance.
• Ensure infrastructure security, compliance, and scalability best practices are followed.

Mandatory Skills

Candidates must have hands-on experience with the following technologies:

• Azure – Cloud infrastructure management and deployment
• Terraform – Infrastructure as Code for scalable provisioning
• GitLab CI – Pipeline development, automation, and integration
• Splunk – Monitoring, logging, and troubleshooting production systems

Preferred Skills

• Experience with Harness (for CI/CD)
• Familiarity with Azure Monitor and Dynatrace
• Scripting proficiency in Python, Bash, or PowerShell
• Understanding of DevOps best practices, containerization, and microservices architecture
• Exposure to Agile and collaborative development environments

Skills Summary

Azure, Terraform, GitLab CI, Splunk (Mandatory) Additional: Harness, Azure Monitor, Dynatrace, Python, Bash, PowerShell

Skills: Azure, Splunk, Terraform, Gitlab Ci

******

Notice period - 0 to 15days only

Job stability is mandatory

Location: Trivandrum/Pune

Job Title: Senior DevOps Engineer

Location: Sector 39, Gurgaon (Onsite)

Employment Type: Full-Time

Working Days: 6 Days (Alternate Saturdays Working)

Experience Required: 5+ Years

Team Role: Lead & Mentor a team of 3–4 engineers

About the Role

We are seeking a highly skilled Senior DevOps Engineer to lead our infrastructure and automation initiatives while mentoring a small team. This role involves setting up and managing physical and cloud-based servers, configuring storage systems, and implementing automation to ensure high system availability and reliability. The ideal candidate will have strong Linux administration skills, hands-on experience with DevOps tools, and the leadership capabilities to guide and grow the team.

Key Responsibilities

Infrastructure & Server Management (60%)

• Set up, configure, and manage bare-metal (physical) servers as well as cloud-based environments.
• Configure network bonding, firewalls, and system security for optimal performance and reliability.
• Implement and maintain high-availability solutions for mission-critical systems.

Queue Systems (Kafka / RabbitMQ) (15%)

• Deploy and manage message queue systems to support high-throughput, real-time data exchange.
• Ensure reliable event-driven communication between distributed services.

Storage Systems (SAN/NAS) (15%)

• Configure and manage Storage Area Networks (SAN) and Network Attached Storage (NAS).
• Optimize storage performance, redundancy, and availability.

Database Administration (5%)

• Administer and optimize MariaDB, MySQL, MongoDB, Redis, and Elasticsearch.
• Handle backup, recovery, replication, and performance tuning.

General DevOps & Automation

• Deploy product updates, patches, and fixes while ensuring minimal downtime.
• Design and manage CI/CD pipelines using Jenkins or similar tools.
• Administer and automate workflows with Docker, Kubernetes, Ansible, AWS, and Git.
• Manage web and application servers (Apache httpd, Tomcat).
• Implement monitoring, logging, and alerting systems (Nagios, HAProxy, Keepalived).
• Conduct root cause analysis and implement automation to reduce manual interventions.
• Mentor a team of 3–4 engineers, fostering best practices and continuous improvement.

Required Skills & Qualifications

✅ 5+ years of proven DevOps engineering experience

✅ Strong expertise in Linux administration & shell scripting

✅ Hands-on experience with bare-metal server management & storage systems

✅ Proficiency in Docker, Kubernetes, AWS, Jenkins, Git, and Ansible

✅ Experience with Kafka or RabbitMQ in production environments

✅ Knowledge of CI/CD, automation, monitoring, and high-availability tools (Nagios, HAProxy, Keepalived)

✅ Excellent problem-solving, troubleshooting, and leadership abilities

✅ Strong communication skills with the ability to mentor and lead teams

Good to Have

• Experience in Telecom projects involving SMS, voice, or real-time data handling.

We are looking for an experienced Sr.Devops Consultant Engineer to join our team. The ideal candidate should have at least 5+ years of experience.

We are retained by a promising startup located in Silicon valley backed by Fortune 50 firm with veterans from firms as Zscaler, Salesforce & Oracle. Founding team has been part of three unicorns and two successful IPO’s in the past and well funded by Dell Technologies and Westwave Capital. The company has been widely recognized as an industry innovator in the Data Privacy, Security space and being built by proven Cybersecurity executives who have successfully built and scaled high growth Security companies and built Privacy programs as executives.

Responsibilities:

• Develop and maintain infrastructure as code using tools like Terraform, CloudFormation, and Ansible
• Manage and maintain Kubernetes clusters on EKS and EC2 instances
• Implement and maintain automated CI/CD pipelines for microservices
• Optimize AWS costs by identifying cost-saving opportunities and implementing cost-effective solutions
• Implement best security practices for microservices, including vulnerability assessments, SOC2 compliance, and network security
• Monitor the performance and availability of our cloud infrastructure using observability tools such as Prometheus, Grafana, and Elasticsearch
• Implement backup and disaster recovery solutions for our microservices and databases
• Stay up to date with the latest AWS services and technologies and provide recommendations for improving our cloud infrastructure
• Collaborate with cross-functional teams, including developers, and product managers, to ensure the smooth operation of our cloud infrastructure
• Experience with large scale system design and scaling services is highly desirable

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field
• At least 5 years of experience in AWS DevOps and infrastructure engineering
• Expertise in Kubernetes management, Docker, EKS, EC2, Queues, Python Threads, Celery Optimization, Load balancers, AWS cost optimizations, Elasticsearch, Container management, and observability best practices
• Experience with SOC2 compliance and vulnerability assessment best practices for microservices
• Familiarity with AWS services such as S3, RDS, Lambda, and CloudFront
• Strong scripting skills in languages like Python, Bash, and Go
• Excellent communication skills and the ability to work in a collaborative team environment
• Experience with agile development methodologies and DevOps practices
• AWS certification (e.g. AWS Certified DevOps Engineer, AWS Certified Solutions Architect) is a plus.

Notice period : Can join within a month

• Discussing project aims with the client and development team.
• Designing and building web applications using Laravel.
• Troubleshooting issues in the implementation and debug builds.
• Working with front-end and back-end developers on projects.
• Testing functionality for users and the backend.
• Ensuring that integrations run smoothly.
• Scaling projects based on client feedback.
• Recording and reporting on work done in Laravel.
• Maintaining web-based applications.
• Presenting work in meetings with clients and management.

• A degree in programming, computer science, or a related field.
• Experience working with PHP, performing unit testing, and managing APIs such as REST.
• A solid understanding of application design using Laravel.
• Knowledge of database design and querying using SQL.
• Proficiency in HTML and JavaScript.
• Practical experience using the MVC architecture.
• A portfolio of applications and programs to your name.
• Problem-solving skills and critical mindset.
• Great communication skills.
• The desire and ability to learn.

We are front runners of the technological revolution with an inexhaustible passion for technology! DevOn is the technical organization that originated from Prowareness. We are the company at the forefront of leading DevOps transformations and setting up High Performance Distributed DevOps teams with leading companies worldwide. DevOn helps market leaders to take the next step in software delivery. We consist of a dynamic team, in which personal growth is central!

About You

You have 6+ years of experience in AWS infra Automation. This is a fantastic opportunity to work in a fast-paced operations environment and to develop your career in Cloud technologies, particularly Amazon Web Services.

You are building and monitoring CI/CD pipeline in AWS cloud. This is a highly scalable backend application building on Java platform. We need a resource who can troubleshoot, diagnose and rectify system service issues.

You’re cloud native with Terraform as an orchestration. You would use Terraform as a key Orchestration in Infrastructure as Code.

You're comfortable driving. You prefer to own your work streams and enjoy working in autonomy to progress towards your goals.

 You provide an incredible support to the team. You sweat the small stuff but keep the big picture in mind. You know that a pair programming can give better result

An ideal candidate is/are:

This is a key role within our DevOps team and will involve working as part of a collaborative agile team in a shared services DevOps organization to support and deliver innovative technology solutions that directly align with the delivery of business value and enhanced customer experience. The primary objective is to provide support to Amazon Web Services hosted environment, ensure continuous availability, working closely with development teams to ensure best value for money, and effective estate management.

• Setup CI/CD Pipeline from scratch along with integration of appropriate quality gates.
• Expertise level knowledge in AWS cloud. Provision and configure infrastructure as code using Terraform
• Build and configure Kubernetes-based infrastructure, networking policies, LBs, and cluster security. Define autoscaling and cost strategies.
• Automate the build of containerized systems with CI/CD tooling, Helm charts, and more
• Manage deployments and rollbacks of applications
• Implement monitoring and metrics with Cloud watch, Newrelic
• Troubleshoot and optimize containerized workload deployments for clients
• Automate operational tasks, and assist in the transition to service ownership models.

REVOS is a smart micro-mobility platform that works with enterprises across the automotive shared mobility value chain to enable and accelerate their smart vehicle journeys. Founded in 2017, it aims to empower all 2 and 3 wheeler vehicles through AI-integrated IoT solutions that will make them smart, safe, connected. We are backed by investors like USV and Prime Venture.

 Duties and Responsibilities :

• Automating various tasks in cloud operations, deployment, monitoring, and performance optimization for big data stack.
• Build, release, and configuration management of production systems.
• System troubleshooting and problem-solving across platform and application domains.
• Suggesting architecture improvements, recommending process improvements.
• Evaluate new technology options and vendor products.
• Function well in a fast-paced, rapidly-changing environment
• Communicate effectively with people at all levels of the organization

Qualifications and Required Skills:

• Overall 3+ years of experience in various software engineering roles.
• 3+ years of experience in building applications and tools in any tech stack, preferably deployed on cloud
• Recent 3 years’ experience must be on Serverless/cloud-native development in AWS (preferred)/Azure
• Expertise in any of the programming languages – (NodeJS or Python preferable)
• Must have hands-on experience in using AWS/Azure - SDK/APIs.
• Must have experience in deploying, releasing, and managing production systems
• MCA or a degree in engineering in Computer Science, IT, or Electronics stream

Creates, modifies, and maintains software applications individually or as part of a team.  Provides technical leadership on a team, including training and mentoring of other team members.  Provides technology and architecture direction for the team, department, and organization.

• Develops software applications and supporting infrastructure using established coding standards and methodologies
• Sets example for software quality through multiple levels of automated tests, including but not limited to unit, API, End to End, and load.
• Self-starter and self-organized - able to work without supervision
• Develops tooling, test harnesses and innovative solutions to understand and monitor the quality of the product 
• Develops infrastructure as code to reliably deploy applications on demand or through automation
• Understands cloud managed services and builds scalable and secure applications using them
• Creates proof of concepts for new ideas that answer key questions of feasibility, desirability, and viability
• Work with other technical leaders to establish coding standards, development best practices and technology direction
• Performs thorough code reviews that promote better understanding throughout the team
• Work with architects, designers, business analysts and others to design and implement high quality software solutions
• Builds intuitive user interfaces with the end user persona in mind using front end frameworks and styling
• Assist product owners in backlog grooming, story breakdown and story estimation
• Collaborate and communicate effectively with team members and other stakeholders throughout the organization
• Document software changes for use by other engineers, quality assurance and documentation specialists
• Master the technologies, languages, and practices used by the team and project assigned
• Train others in the technologies, languages, and practices used by the team
• Trouble shoot, instrument and debug existing software resolving root causes of defective behavior
• Guide the team in setting up the infrastructure in the cloud.
• Setup the security protocols for the cloud infrastructure
• Works with the team in setting up the data hub in the cloud
• Create dashboards for the visibility of the various interactions between the cloud services
• Other duties as assigned

• BA/BS in Computer Science, a related field or equivalent work experience

• Mastered advanced programming concepts, including object oriented programming
• Mastered technologies and tools utilized by team and project assigned
• Able to train others on general programming concepts and specific technologies
• Minimum 8 years’ experience developing software applications

• Must be expert in advanced programming skills and database technology
• Must be expert in at least one technology and/or language and proficient in multiple technologies and languages:
• (Specific languages needed will vary based on development department or project)
• .Net Core, C#, Java, SQL, JavaScript, Typescript, Python
• Additional desired skills:
  • Single-Page Applications, Angular (v9), Ivy, RXJS, NGRX, HTML5, CSS/SASS, Web Components, Atomic Design
  • Test First approach, Test Driven Development (TDD), Automated testing (Protractor, Jasmine), Newman Postman, artillery.io
  • Microservices, Terraform, Jenkins, Jupyter Notebook, Docker, NPM, Yarn, Nuget, NodeJS, Git/Gerrit, LaunchDarkly
  • Amazon Web Services (AWS), Lambda, S3, Cognito, Step Functions, SQS, IAM, Cloudwatch, Elasticache
  • Database Design, Optimization, Replication, Partitioning/Sharding, NoSQL, PostgreSQL, MongoDB, DynamoDB, Elastic Search, PySpark, Kafka
  • Agile, Scrum, Kanban, DevSecOps
• Strong problem-solving skills
• Outstanding communications and interpersonal skills
• Strong organizational skills and ability to multi-task
• Ability to track software issues to successful resolution
• Ability to work in a collaborative fast paced environment
• Setting up complex AWS data storage hub
• Well versed in setting up infrastructure security in the interactions between the planned components
• Experienced in setting up dashboards for analyzing the various operations in the AWS infra setup.
• Ability to learn new development language quickly and apply that knowledge effectively