
environment. He/she must demonstrate a high level of ownership, integrity, and leadership
skills and be flexible and adaptive with a strong desire to learn & excel.
Required Skills:
- 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.

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About the Job
This is a full-time role for a Lead DevOps Engineer at Spark Eighteen. We are seeking an experienced DevOps professional to lead our infrastructure strategy, design resilient systems, and drive continuous improvement in our deployment processes. In this role, you will architect scalable solutions, mentor junior engineers, and ensure the highest standards of reliability and security across our cloud infrastructure. The job location is flexible with preference for the Delhi NCR region.
Responsibilities
- Lead and mentor the DevOps/SRE team
- Define and drive DevOps strategy and roadmaps
- Oversee infrastructure automation and CI/CD at scale
- Collaborate with architects, developers, and QA teams to integrate DevOps practices
- Ensure security, compliance, and high availability of platforms
- Own incident response, postmortems, and root cause analysis
- Budgeting, team hiring, and performance evaluation
Requirements
Technical Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 7+ years of professional DevOps experience with demonstrated progression.
- Strong architecture and leadership background
- Deep hands-on knowledge of infrastructure as code, CI/CD, and cloud
- Proven experience with monitoring, security, and governance
- Effective stakeholder and project management
- Experience with tools like Jenkins, ArgoCD, Terraform, Vault, ELK, etc.
- Strong understanding of business continuity and disaster recovery
Soft Skills
- Cross-functional communication excellence with ability to lead technical discussions.
- Strong mentorship capabilities for junior and mid-level team members.
- Advanced strategic thinking and ability to propose innovative solutions.
- Excellent knowledge transfer skills through documentation and training.
- Ability to understand and align technical solutions with broader business strategy.
- Proactive problem-solving approach with focus on continuous improvement.
- Strong leadership skills in guiding team performance and technical direction.
- Effective collaboration across development, QA, and business teams.
- Ability to make complex technical decisions with minimal supervision.
- Strategic approach to risk management and mitigation.
What We Offer
- Professional Growth: Continuous learning opportunities through diverse projects and mentorship from experienced leaders
- Global Exposure: Work with clients from 20+ countries, gaining insights into different markets and business cultures
- Impactful Work: Contribute to projects that make a real difference, with solutions generating over $1B in revenue
- Work-Life Balance: Flexible arrangements that respect personal wellbeing while fostering productivity
- Career Advancement: Clear progression pathways as you develop skills within our growing organization
- Competitive Compensation: Attractive salary packages that recognize your contributions and expertise
Our Culture
At Spark Eighteen, our culture centers on innovation, excellence, and growth. We believe in:
- Quality-First: Delivering excellence rather than just quick solutions
- True Partnership: Building relationships based on trust and mutual respect
- Communication: Prioritizing clear, effective communication across teams
- Innovation: Encouraging curiosity and creative approaches to problem-solving
- Continuous Learning: Supporting professional development at all levels
- Collaboration: Combining diverse perspectives to achieve shared goals
- Impact: Measuring success by the value we create for clients and users
Apply Here - https://tinyurl.com/t6x23p9b
Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
Roles and Responsibilities:
- AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
- Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
- Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
- Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
- Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
- Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements.
Mandatory Skills:
- Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
- Strong proficiency in automated provisioning and cloud management.
- Experience with Infrastructure as Code tools, particularly Terraform and Packer.
- Solid understanding of CI/CD pipelines and version control systems.
- Strong scripting skills (e.g., Python, Bash) for automation tasks.
- Excellent problem-solving and troubleshooting skills.
- Good interpersonal and communication skills for effective collaboration.
Secondary Skills:
- AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of microservices architecture and serverless computing.
- Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).
We are looking for very hands-on DevOps engineers with 3 to 6 years of experience. The person will be part of a team that is responsible for designing & implementing automation from scratch for medium to large scale cloud infrastructure and providing 24x7 services to our North American / European customers. This also includes ensuring ~100% uptime for almost 50+ internal sites. The person is expected to deliver with both high speed and high quality as well as work for 40 hours per week (~6.5 hours per day, 6 days per week) in shifts that will rotate every month.
This person MUST have:
-
B.E Computer Science or equivalent
-
2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
-
1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
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1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
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1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
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Experience configuring/maintaining one monitoring tool.
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Excellent verbal & written communication skills.
-
Candidates with certifications - AWS, GCP, CKA, etc will be preferred
-
Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).
Experience:
-
Min 3 years of experience as DevOps automation engineer buildingg, running, and maintaining production sites.
-
Not looking for candidates who have experience only as L1/L2 or Build & Deploy.
Location: Remotely, anywhere in India.
Timings:
-
The person is expected to deliver with both high speed and high quality as well as work for 40 hours per week (~6.5 hours per day, 6 days per week) in shifts that will rotate every month.
Position:
-
Full time/Direct
-
We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
-
We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
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.
General Description:
Owns all technical aspects of software development for assigned applications.
Participates in the design and development of systems & application programs.
Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation.
Required Skills:
In depth experience configuring and administering EKS clusters in AWS.
In depth experience in configuring **DataDog** in AWS environments especially in **EKS**
In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**
In depth knowledge of observability concepts and strong troubleshooting experience.
Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.
Experience in **Terraform** and Infrastructure as code.
Experience in **Helm**
Strong scripting skills in Shell and/or python.
Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.
Must have a good understanding of cloud concepts (Storage /compute/network).
Experience in Collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.
Experience with Git and GitHub.
Proficient in developing and maintaining technical documentation, ADRs, and runbooks.
We are an on-demand E-commerce technology and Services Company and a tech-enabled 3PL (third party logistics). We unlocks ecommerce for companies by managing the entire operations lifecycle:
Sell, Fulfil & Reconcile.
Using us, companies can: -
• Store their inventory in our fulfilment centers (FCs)
• Sell their products on multiple sales channels (online marketplaces like Amazon, Flipkart, and their own website)
• Get their orders processed within a defined SLA
• Reconcile payments against the sales company combines infrastructure and dedicated experts to give brands: accountability, peace of mind, and control over the ecommerce journey.
The company is working on a remarkable concept for running an E-commerce business- starting from establishing an online presence for many enterprises. It offers a combination of products and services to create a comprehensive platform and manage all aspects of running a brand online, including the development of an exclusive web store, handling logistics, integrating all marketplaces and so on.
Who are we looking for?
We are looking for a skilled and passionate DevOps Engineer to join our Centre of Excellence to build and scale effective software solutions for our Ecommerce Domain.
Wondering what your Responsibilities would be?
• Building and setting up new development tools and infrastructure
• Provide full support to the software development teams to deploy, run and roll out new services and new capabilities in Cloud infrastructure
• Implement CI/CD and DevOps best practices for software application teams and assist in executing the integration and operation processes
• Build proactive monitoring and alerting infrastructure services to support operations and system health
• Be hands-on in developing prototypes and conducting Proof of Concepts
• Work in an agile, collaborative environment, partnering with other engineers to bring new solutions to the table
• Join the DevOps Chapter where you’ll have the opportunity to investigate and share information about technologies within the DevOps Engineering Community
What Makes you Eligible?
• Bachelor’s Degree or higher in Computer Science or Software Engineering with appropriate experience
• Minimum of 1 year of proven experience as DevOps Engineer
• Experience in working with a DevOps culture, following Agile Software Development methodologies of Scrum
• Proven experience in source code management tools like Bitbucket and Git
• Solid experience in CI/CD pipelines like Jenkins
• Shown ability with configuration management tools (e.g., Terraform, Ansible, Docker and Kubernetes) and repository tools like Artifactory
• Experience in Cloud architecture & provisioning
• Knowledge in Programming / Querying NoSQL databases
• Teamwork skills with a problem-solving attitude
About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Implement consistent observability, deployment and IaC setups
- Lead incident management and actively respond to escalations/incidents in the production environment from customers and the support team.
- Hire/Mentor other Infrastructure engineers and review their work to continuously ship improvements to production infrastructure and its tooling.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Lead infrastructure security audits
Requirements
- At least 7 years of experience in handling/building Production environments in AWS.
- At least 3 years of programming experience in building API/backend services for customer-facing applications in production.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Experience in security hardening of infrastructure, systems and services.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Exposure/Experience in setting up or managing Cloudflare, Qualys and other related tools
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – Hands-on experience with Nginx, Postgres, Postfix, Redis or Mongo systems.
Position Summary
Cloud Engineer helps to solutionize, enable, migrate and onboard clients to a secure cloud
platform, which offload the heavy lifting for the clients so that they can focus on their own business
value creation.
Job Description
- Assessing existing customer systems and/or cloud environment to determine the best migration approach and supporting tools used
- Build a secure and compliant cloud environment, with a proven enterprise operating model, on-going cost optimisation, and day-to-day infrastructure management
- Provide and implement cloud solutions to reduce operational overhead and risk, and automates common activities, such as change requests, monitoring, patch management, security, and backup services, and provides full-lifecycle services to provision, run, and support their infrastructure
- Collaborate with internal service teams to meet the clients’ needs for their infrastructure and application deployments
- Troubleshoot complex infrastructure deployments, recreate customer issues, and build proof of concept environments that abide by cloud-best-practices & well architecture frameworks
- Apply advanced troubleshooting techniques to provide unique solutions to our customers’ individual needs
- Work on critical, highly complex customer problems that will span across multiple cloud platforms and services
- Identify and drive improvements on process and technical related issues. Act as an escalation point of contact for the clients
- Drive clients meetings & communication during reviews
Requirement:
- Degree in computer science or a similar field.
- At least 2 year of experience in the field of cloud computing.
- Experience with CI/CD systems.
- Strong in Cloud services
- Exposure to AWS/GCP and other cloud-based infrastructure platforms
- Experience with AWS configuration and management – EC2, S3, EBS, ELB, IAM, VPC, RDS, CloudFront etc
- Exposure in architecting, designing, developing, and implementing cloud solutions on AWS platforms or other cloud server such as Azure, Google Cloud
- Proficient in the use and administration of all versions of MS Windows Server
- Experience with Linux and Windows system administration and web server configuration and monitoring
- Solid programming skills in Python, Java, Perl
- Good understanding of software design principles and best practices
- Good knowledge of REST APIs
- Should have hands-on experience in any deployment orchestration tool (Jenkins, Urbancode, Bamboo, etc.)
- Experience with Docker, Kubernetes, and Helm charts
- Hands on experience in Ansible and Git repositories
- Knowledge in Maven / Gradle
- Azure, AWS, and GCP certifications are preferred.
- Troubleshooting and analytical skills.
- Good communication and collaboration skills.
- Strong Understanding of Linux administration
- Good understanding of using Python or Shell scripting (Automation mindset is key in this role)
- Hands on experience with Implementation of CI/CD Processes
Experience working with one of these cloud platforms (AWS, Azure or Google Cloud) - Experience working with configuration management tools such as Ansible, Chef
Experience in Source Control Management including SVN, Bitbucket and GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus
Troubleshoot and triage development and Production issues - Understanding of micro-services is a plus
Roles & Responsibilities
- Implementation and troubleshooting on Linux technologies related to OS, Virtualization, server and storage, backup, scripting / automation, Performance fine tuning
- LAMP stack skills
- Monitoring tools deployment / management (Nagios, New Relic, Zabbix, etc)
- Infra provisioning using Infra as code mindset
- CI/CD automation
















