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

NOTE- This is a contractual role for a period of 3-6 months.

Responsibilities:

● Set up and maintain CI/CD pipelines across services and environments

● Monitor system health and set up alerts/logs for performance & errors ● Work closely with backend/frontend teams to improve deployment velocity

● Manage cloud environments (staging, production) with cost and reliability in mind

● Ensure secure access, role policies, and audit logging

● Contribute to internal tooling, CLI automation, and dev workflow improvements

Must-Haves:

● 2–3 years of hands-on experience in DevOps, SRE, or Platform Engineering

● Experience with Docker, CI/CD (especially GitHub Actions), and cloud providers (AWS/GCP)

● Proficiency in writing scripts (Bash, Python) for automation

● Good understanding of system monitoring, logs, and alerting

● Strong debugging skills, ownership mindset, and clear documentation habits

● Infra monitoring tools like Grafana dashboards

Role Overview:

As a DevOps Engineer (L2), you will play a key role in designing, implementing, and optimizing infrastructure. You will take ownership of automating processes, improving system reliability, and supporting the development lifecycle.

Key Responsibilities:

• Design and manage scalable, secure, and highly available cloud infrastructure.
• Lead efforts in implementing and optimizing CI/CD pipelines.
• Automate repetitive tasks and develop robust monitoring solutions.
• Ensure the security and compliance of systems, including IAM, VPCs, and network configurations.
• Troubleshoot complex issues across development, staging, and production environments.
• Mentor and guide L1 engineers on best practices.
• Stay updated on emerging DevOps tools and technologies.
• Manage cloud resources efficiently using Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.

Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.
• Proven experience with CI/CD pipelines and tools like Jenkins, GitLab, or Azure DevOps.
• Advanced knowledge of cloud platforms (AWS, Azure, or GCP) with hands-on experience in deployments, migrations, and optimizations.
• Strong expertise in containerization (Docker) and orchestration tools (Kubernetes).
• Proficiency in scripting languages like Python, Bash, or PowerShell.
• Deep understanding of system security, networking, and load balancing.
• Strong analytical skills and problem-solving mindset.
• Certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) are a plus.

What We Offer:

• Opportunity to work with a cutting-edge tech stack in a product-first company.
• Collaborative and growth-oriented environment.
• Competitive salary and benefits.
• Freedom to innovate and contribute to impactful projects.

• Strong experience working with tools and platforms like Helm charts, Circle CI, Jenkins,
• and/or Codefresh
• Excellent knowledge of AWS offerings around Cloud and DevOps
• Strong expertise in containerization platforms like Docker and container orchestration platforms like Kubernetes & Rancher
• Should be familiar with leading Infrastructure as Code tools such as Terraform, CloudFormation, etc.
• Strong experience in Python, Shell Scripting, Ansible, and Terraform
• Good command over monitoring tools like Datadog, Zabbix, Elk, Grafana, CloudWatch, Stackdriver, Prometheus, JFrog, Nagios, etc.
• Experience with Linux/Unix systems administration.

• Understanding of maintenance of existing systems (Virtual machines), Linux stack
• Experience running, operating and maintainence of Kubernetes pods
• Strong Scripting skills
• Experience in AWS
• Knowledge of configuring/optimizing open source tools like Kafka, etc.
• Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
• Optimizing and standardizing monitoring, alerting.
• Experience in Google cloud platform
• Experience/ Knowledge  in Python will be an added advantage
• Experience on Monitoring Tools like Jenkins, Kubernetes ,Terraform  etc

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.

Position Summary-

This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.

Required experience

1. 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
2. Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
3. Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
4. Basic understanding of SQL
5. Experience working with technologies like S3, Kubernetes experience preferred.
6. Databricks/Hadoop/Kafka experience preferred but not required

Our Client is a B2B2C tech Web3 startup founded by founders - IITB Graduates who are experienced in retail, ecommerce and fintech.
Vision: Our Client aims to change the way that customers, creators, and retail investors interact and transact at brands of all shapes and sizes. Essentially, becoming the Web3 version of brands driven social ecommerce & investment platform.

• Mandatory: Docker, AWS, Linux, Kubernete or ECS
• Prior experience provisioning and spinning up AWS Clusters / Kubernetes
• Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
• Experience supporting a managed cloud services infrastructure
• Ability to maintain, monitor and optimise production database servers
• Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
• Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
• Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
• In-depth knowledge on Linux Environment.
• Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
• Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
• Experience in handling large production deployments and infrastructure.
• DevOps based infrastructure and application deployments experience.
• Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
• Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
• He/she should be able to validate that the environment meets all security and compliance controls.
• Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
• Proven written and verbal communication skills.
• Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
• Previous NOC experience.
• Client Facing Experience with excellent Customer Communication and Documentation Skills