DevOps Engineer

About the opportunity:

This role is with Sporty Group. CareersInCloud shares this opportunity to help professionals discover relevant technology careers.

Hiring Company: Sporty Group

Sporty Group is looking for an experienced DevOps Engineer to join its remote engineering team.

This role involves managing AWS cloud infrastructure, Kubernetes environments, CI/CD pipelines, monitoring, automation, and improving system reliability.

Key Responsibilities:

• Manage AWS infrastructure and cloud operations

• Maintain Kubernetes clusters and Docker environments

• Build and improve CI/CD pipelines

• Monitor production systems using Grafana, Prometheus, and CloudWatch

• Troubleshoot Linux, networking, and infrastructure issues

Requirements:

• 3+ years of DevOps experience

• Strong AWS and Kubernetes experience

• Experience with Docker, Linux, CI/CD tools

• Good understanding of cloud infrastructure and automation

Apply here:

https://careersincloud.com/jobs/sporty-group-hiring-devops-engineer-remote-experienced

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.

About the Role

We are looking for a DevOps Engineer to build and maintain scalable, secure, and high-

performance infrastructure for our next-generation healthcare platform. You will be

responsible for automation, CI/CD pipelines, cloud infrastructure, and system reliability,

ensuring seamless deployment and operations.

Responsibilities

1. Infrastructure & Cloud Management

• Design, deploy, and manage cloud-based infrastructure (AWS, Azure, GCP)

• Implement containerization (Docker, Kubernetes) and microservices orchestration

• Optimize infrastructure cost, scalability, and performance

2. CI/CD & Automation

• Build and maintain CI/CD pipelines for automated deployments

• Automate infrastructure provisioning using Terraform, Ansible, or CloudFormation

• Implement GitOps practices for streamlined deployments

3. Security & Compliance

• Ensure adherence to ABDM, HIPAA, GDPR, and healthcare security standards

• Implement role-based access controls, encryption, and network security best

practices

• Conduct Vulnerability Assessment & Penetration Testing (VAPT) and compliance

audits

4. Monitoring & Incident Management

• Set up monitoring, logging, and alerting systems (Prometheus, Grafana, ELK,

Datadog, etc.)

• Optimize system reliability and automate incident response mechanisms

• Improve MTTR (Mean Time to Recovery) and system uptime KPIs

5. Collaboration & Process Improvement

• Work closely with development and QA teams to streamline deployments

• Improve DevSecOps practices and cloud security policies

• Participate in architecture discussions and performance tuning

Required Skills & Qualifications

• 2+ years of experience in DevOps, cloud infrastructure, and automation

• Hands-on experience with AWS and Kubernetes

• Proficiency in Docker and CI/CD tools (Jenkins, GitHub Actions, ArgoCD, etc.)

• Experience with Terraform, Ansible, or CloudFormation

• Strong knowledge of Linux, shell scripting, and networking

• Experience with cloud security, monitoring, and logging solutions

Nice to Have

• Experience in healthcare or other regulated industries

• Familiarity with serverless architectures and AI-driven infrastructure automation

• Knowledge of big data pipelines and analytics workflows

What You'll Gain

• Opportunity to build and scale a mission-critical healthcare infrastructure

• Work in a fast-paced startup environment with cutting-edge technologies

• Growth potential into Lead DevOps Engineer or Cloud Architect roles

About The Role:

The products/services of Eclat Engineering Pvt. Ltd. are being used by some of the leading institutions in India and abroad. Our services/Products are rapidly growing in demand. We are looking for a capable and dynamic Senior DevOps engineer to help setup, maintain and scale the infrastructure operations. This Individual will have the challenging responsibility of channelling our IT infrastructure and offering customer services with stringent international standard levels of service quality. This individual will leverage the latest IT tools to automate and streamline the delivery of our services while implementing industry-standard processes and knowledge management.

Roles & Responsibilities:

- Infrastructure and Deployment Automation: Design, implement, and maintain automation for infrastructure

provisioning and application deployment. Own the CI/CD pipelines and ensure they are efficient, reliable, and

scalable.

- System Monitoring and Performance: -Take ownership of monitoring systems and ensure the health and

performance of the infrastructure. Proactively identify and address performance bottlenecks and system issues.

- Cloud Infrastructure Management: Manage cloud infrastructure (e.g., AWS, Azure, GCP) and optimize resource

usage. Implement cost-saving measures while maintaining scalability and reliability.

- Configuration Management: Manage configuration management tools (e.g., Ansible, Puppet, Chef) to ensure

consistency across environments. Automate configuration changes and updates.

- Security and Compliance: Own security policies, implement best practices, and ensure compliance with industry

standards. Lead efforts to secure infrastructure and applications, including patch management and access controls.

- Collaboration with Development and Operations Teams: Foster collaboration between development and

operations teams, promoting a DevOps culture. Be the go-to person for resolving cross-functional infrastructure

issues and improving the development process.

- Disaster Recovery and Business Continuity: Develop and maintain disaster recovery plans and procedures. Ensure

business continuity in the event of system failures or other disruptions.

- Documentation and Knowledge Sharing: Create and maintain comprehensive documentation for configurations,

processes, and best practices. Share knowledge and mentor junior team members.

- Technical Leadership and Innovation: Stay up-to-date with industry trends and emerging technologies. Lead efforts

to introduce new tools and technologies that enhance DevOps practices.

- Problem Resolution and Troubleshooting: Be responsible for diagnosing and resolving complex issues related to

infrastructure and deployments. Implement preventive measures to reduce recurring problems.

Requirements:

● B.E / B.Tech / M.E / M.Tech / MCA / M.Sc.IT (if not should be able to demonstrate required skills)

● Overall 3+ years of experience in DevOps and Cloud operations specifically in AWS.

● Experience with Linux Administrator

● Experience with microservice architecture, containers, Kubernetes, and Helm is a must

● Experience in Configuration Management preferably Ansible

● Experience in Shell Scripting is a must

● Experience in developing and maintaining CI/CD processes using tools like Gitlab, Jenkins

● Experience in logging, monitoring and analytics

● An Understanding of writing Infrastructure as a Code using tools like Terraform

● Preferences - AWS, Kubernetes, Ansible

Must Have:

● Knowledge of AWS Cloud Platform.

● Good experience with microservice architecture, Kubernetes, helm and container-based technologies

● Hands-on experience with Ansible.

● Should have experience in working and maintaining CI/CD Processes.

● Hands-on experience in version control tools like GIT.

● Experience with monitoring tools such as Cloudwatch/Sysdig etc.

● Sound experience in administering Linux servers and Shell Scripting.

● Should have a good understanding of IT security and have the knowledge to secure production environments (OS and server software).

Who we are :

Stanza Living is India's largest and fastest growing tech-enabled, managed accommodation company that delivers a hospitality-led living experience to migrant students and young working professionals across India. We have a full-stack business model that focuses on design, development and delivery of daily living solutions tailored to the young consumers' lifestyle. From smartly-planned residences, host of amenities and services for hassle-free living to exclusive community engagement programmes - everything is seamlessly integrated through technology to ensure the highest consumer delight.

Today, we are :

• India's largest managed accommodation company with over 75,000+ beds under management across 25+ cities
• Most capitalized player in the managed accommodation space, backed by global marquee investors - Falcon Edge, Equity International, Sequoia Capital, Matrix Partners, Accel Partners
• Recognized as the Best Real Estate Tech company across the Globe in 2020 by leading analysis agency, Tracxn
• LinkedIn Top Startup to Work for - 2019

Objectives of this role :

- Work in tandem with our engineering team to identify and implement the most optimal cloud-based solutions for the company

- Define and document best practices and strategies regarding application deployment and infrastructure maintenance

- Provide guidance, thought leadership, and mentorship to developer teams to build their cloud competencies

- Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design

- Manage cloud environments in accordance with company security guidelines

Job Description :

- Excellent understanding of Cloud Platform (AWS)

- Strong knowledge on AWS Services, design, configuration on enterprise systems

- Good knowledge on Kubernetes configuration, Dockers

- Understanding the needs of the business for defining AWS system specifications

- Understand Architecture Requirements and ensure effective support activities

- Evaluation and choosing suitable AWS Service or and suggesting methods for integration

- Overseeing assigned programs and guiding the team members

- Providing assistance when technical problems arise

- Making sure the agreed infrastructure and architecture are implemented

- Addressing the technical concerns, suggestions, and ideas

- Configure Monitoring systems to make sure they meet business goals as well as user requirements

- Excellent knowledge of AWS IaaS Layer

- Ability to lead & implement PS workloads or POCs

- Ensure continual knowledge management

Experience of Linux

Experience using Python or Shell scripting (for Automation) 

Hands-on experience with Implementation of CI/CD Processes 

Experience working  with one cloud platforms (AWS or Azure or Google) 

Experience working with configuration management tools such as Ansible & Chef 

Experience working with   Containerization tool Docker.

Experience working with Container Orchestration tool Kubernetes.

Experience in source Control Management including SVN and/or Bitbucket

& GitHub

Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools 

Hands-on experience in Linux, Scripting Language & AWS is mandatory

Troubleshoot and Triage development, Production issues

We are looking for an experienced DevOps (Development and Operations) professional to join our growing organization. In this position, you will be responsible for finding and reporting bugs in web and mobile apps & assist Sr DevOps to manage infrastructure projects and processes. Keen attention to detail, problem-solving abilities, and a solid knowledge base are essential.

As a DevOps, you will work in a Kubernetes based microservices environment. 

Experience in Microsoft Azure cloud and Kubernetes is preferred, not mandatory.

Ultimately, you will ensure that our products, applications and systems work correctly.  

Responsibilities:

• Detect and track software defects and inconsistencies
• Apply quality engineering principals throughout the Agile product lifecycle
• Handle code deployments in all environments
• Monitor metrics and develop ways to improve
• Consult with peers for feedback during testing stages
• Build, maintain, and monitor configuration standards
• Maintain day-to-day management and administration of projects
• Manage CI and CD tools with team
• Follow all best practices and procedures as established by the company
• Provide support and documentation  

Required Technical and Professional Expertise

• Minimum 2+ years if DevOps
• Have experience in SaaS infrastructure development and Web Apps
• Experience in delivering microservices at scale; designing microservices solutions
• Proven Cloud experience/delivery of applications on Azure
• Proficient in configuration Management tools such as Ansible or any of Terraform Puppet, Chef, Salt, etc
• Hands-on experience in Networking/network configuration, Application performance monitoring, Container performance, and security.
• Understanding of Kubernetes, Python along with scripting languages like bash/shell
• Good to have experience in Linux internals, Linux packaging, Release Engineering (Branching, versioning, tagging), Artifact repository, Artifactory, Nexus, and CI/CD tooling (Concourse CI, Travis, Jenkins)
• Must be a proactive person  
• You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies
• An ambitious individual who can work under their own direction towards agreed targets/goals and with a creative approach to work.
• An intuitive individual with an ability to manage change and proven time management
• Proven interpersonal skills while contributing to team effort by accomplishing related results as needed.

Specific responsibilities commensurate with experience and include:

• Ability to react quickly and effectively to identify and resolve issues that heavily impact CI/CD system (immediate mitigation of impact, long-term resolution including strategies for risk mitigation/monitoring/alert for proactive resolution of potential future occurrences)
• Design, develop, unit test, and implement build automation scripts including environment configuration validation processes
• Automate and improve development process by evaluation and introduction of new tools and scripts, and manage their life cycle and validation
• Determine branching strategy and maintain branches for various components, products, and product lines
• Come up with solutions to open-ended problems that focus on workflow improvements for the Software department
• Address issues with well-defined requirements efficiently; come up with short-term and long-term solutions and staged deployment strategies
• Self-driven-- takes action to move tickets from start to completion with minimal oversight
• Ability to communicate with and consider perspectives of stakeholders including but not limited to: IT, software development, verification
• Ability to break down a problem into smaller components and solve them in a logical, controlled, clearly explainable approach
• Lead the creation and maintenance of a pre-production environment as a testbed for build process improvements and changes before deployment to the production environment
• Gather metrics via direct input, data based on analysis of developer working habits analysis and pain points to assess current state and areas requiring further improvement
• Define chain of communication and immediate paths of action in the case of a build fault state
• Ability to work within constraints of the internal network without access to commercial cloud solutions
• Create metrics that define ‘efficiency’ and ‘reliability’ in measurable terms, and track them
• Perform static code and security analysis
• Design and execute unit tests and perform code coverage analysis
• Able to work in Agile development team environment

• Bachelor’s degree (or higher) in Electrical Engineering, Computer Engineering, Computer Science or equivalent
• 6+ years (minimum) experience handling Build, Release, and Deployment of software on Windows and/or Linux environments (on-premise)
• Experience with the development and deployment of CM processes and tools
• Build automation for .NET using TeamCity (Jenkins is an asset)
• Scripting languages: Windows batch scripting, Powershell, Ant/NAnt
• Source control systems usage, branching strategies, and workflow (Git preferred, Subversion)
• 6+ years of hands-on programming experience with C# and .NET (both Framework and Core)
• Troubleshooting and debugging-- what information to gather when there are issues with CI/CD system, and how to gather it (i.e., analyzing network communication? Windows crash dumps, java logs, etc.)
• 6+ years (minimum) in web/desktop application software development experience
• Excellent problem solving, critical and analytical thinking
• Strong team player who understands SDLC and QA methodologies
• A professional, results-oriented individual with a high degree of self-motivation
• Excellent written and verbal communication skills and the ability to coordinate work/activities with multiple software/IT teams
• Working with virtual machines and build management on virtual machines (VMware preferred).
• Managing configurations for multiple build environments
• OS administration and scripting experience (Windows is a must, Linux desired)
• Experience with test automation tools (NUnit, customer inhouse frameworks) and strategies is an asset
• Creation and maintenance of monitoring and alert systems (Zabbix)
• Familiarity with databases (SQL-based) - create, modify, optimize (via script)
• Data and metrics gathering, aggregation, and reporting
• Experience with work management and documentation tools: JIRA and Confluence