Job Description:
Mandatory Skills:
Should have strong working experience with Cloud technologies like AWS and Azure.
Should have strong working experience with CI/CD tools like Jenkins and Rundeck.
Must have experience with configuration management tools like Ansible.
Must have working knowledge on tools like Terraform.
Must be good at Scripting Languages like shell scripting and python.
Should be expertise in DevOps practices and should have demonstrated the ability to apply that knowledge across diverse projects and teams.
Preferable skills:
Experience with tools like Docker, Kubernetes, Puppet, JIRA, gitlab and Jfrog.
Experience in scripting languages like groovy.
Experience with GCP
Summary & Responsibilities:
Write build pipelines and IaaC (ARM templates, terraform or cloud formation).
Develop ansible playbooks to install and configure various products.
Implement Jenkins and Rundeck jobs( and pipelines).
Must be a self-starter and be able to work well in a fast paced, dynamic environment
Work independently and resolve issues with minimal supervision.
Strong desire to learn new technologies and techniques
Strong communication (written / verbal ) skills
Qualification:
Bachelor's degree in Computer Science or equivalent.
4+ years of experience in DevOps and AWS.
2+ years of experience in Python, Shell scripting and Azure.

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GCP DevOps Engineer – Job Description (2+ Years Experience)
We are looking for a motivated and skilled GCP DevOps Engineer with 2+ years of hands-on experience in cloud infrastructure, CI/CD pipelines, automation, and deployment processes on Google Cloud Platform (GCP). The ideal candidate should have experience in cloud operations, monitoring, containerization, and DevOps best practices.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for application deployment.
- Manage and monitor cloud infrastructure on Google Cloud Platform (GCP).
- Work with development and QA teams to automate build, deployment, and release processes.
- Handle infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform.
- Manage containerized applications using Docker and Kubernetes (GKE).
- Monitor system performance, troubleshoot issues, and ensure high availability.
- Implement security best practices, backup strategies, and access management.
- Support production deployments and resolve environment-related issues.
- Maintain documentation for infrastructure, deployment, and operational procedures.
Required Skills
- 2+ years of experience in DevOps or Cloud Engineering.
- Hands-on experience with Google Cloud Platform (GCP).
- Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Cloud Build.
- Knowledge of Docker and Kubernetes (GKE).
- Experience with Terraform or other IaC tools.
- Strong understanding of Linux administration and shell scripting.
- Experience with version control tools like Git.
- Knowledge of monitoring tools such as Prometheus, Grafana, or Cloud Monitoring.
- Understanding of networking, security, and cloud architecture concepts.
Good to Have
- Experience with Ansible or other configuration management tools.
- Knowledge of Python, Bash, or scripting languages.
- GCP Certifications are an added advantage.
- Exposure to Agile/Scrum environments.
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 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
About the role:
We are seeking a highly skilled Azure DevOps Engineer with a strong background in backend development to join our rapidly growing team. The ideal candidate will have a minimum of 4 years of experience and has have extensive experience in building and maintaining CI/CD pipelines, automating deployment processes, and optimizing infrastructure on Azure. Additionally, expertise in backend technologies and development frameworks is required to collaborate effectively with the development team in delivering scalable and efficient solutions.
Responsibilities
- Collaborate with development and operations teams to implement continuous integration and deployment processes.
- Automate infrastructure provisioning, configuration management, and application deployment using tools such as Ansible, and Jenkins.
- Design, implement, and maintain Azure DevOps pipelines for continuous integration and continuous delivery (CI/CD)
- Develop and maintain build and deployment pipelines, ensuring that they are scalable, secure, and reliable.
- Monitor and maintain the health of the production infrastructure, including load balancers, databases, and application servers.
- Automate the software development and delivery lifecycle, including code building, testing, deployment, and release.
- Familiarity with Azure CLI, Azure REST APIs, Azure Resource Manager template, Azure billing/cost management and the Azure Management Console
- Must have experience of any one of the programming language (Java, .Net, Python )
- Ensure high availability of the production environment by implementing disaster recovery and business continuity plans.
- Build and maintain monitoring, alerting, and trending operational tools (CloudWatch, New Relic, Splunk, ELK, Grafana, Nagios).
- Stay up to date with new technologies and trends in DevOps and make recommendations for improvements to existing processes and infrastructure.
- ontribute to backend development projects, ensuring robust and scalable solutions.
- Work closely with the development team to understand application requirements and provide technical expertise in backend architecture.
- Design and implement database schemas.
- Identify and implement opportunities for performance optimization and scalability of backend systems.
- Participate in code reviews, architectural discussions, and sprint planning sessions.
- Stay updated with the latest Azure technologies, tools, and best practices to continuously improve our development and deployment processes.
- Mentor junior team members and provide guidance and training on best practices in DevOps.
Required Qualifications
- BS/MS in Computer Science, Engineering, or a related field
- 4+ years of experience as an Azure DevOps Engineer (or similar role) with experience in backed development.
- Strong understanding of CI/CD principles and practices.
- Expertise in Azure DevOps services, including Azure Pipelines, Azure Repos, and Azure Boards.
- Experience with infrastructure automation tools like Terraform or Ansible.
- Proficient in scripting languages like PowerShell or Python.
- Experience with Linux and Windows server administration.
- Strong understanding of backend development principles and technologies.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Problem-solving and analytical skills.
- Experience with industry frameworks and methodologies: ITIL/Agile/Scrum/DevOps
- Excellent problem-solving, critical thinking, and communication skills.
- Have worked in a product based company.
What we offer:
- Competitive salary and benefits package
- Opportunity for growth and advancement within the company
- Collaborative, dynamic, and fun work environment
- Possibility to work with cutting-edge technologies and innovative projects
Q2 is seeking a team-focused Lead Release Engineer with a passion for managing releases to ensure we release quality software developed using Agile Scrum methodology. Working within the Development team, the Release Manager will work in a fast-paced environment with Development, Test Engineering, IT, Product Management, Design, Implementations, Support and other internal teams to drive efficiencies, transparency, quality and predictability in our software delivery pipeline.
RESPONSIBILITIES:
- Provide leadership on cross-functional development focused software release process.
- Management of the product release cycle to new and existing clients including the build release process and any hotfix releases
- Support end-to-end process for production issue resolution including impact analysis of the issue, identifying the client impacts, tracking the fix through dev/testing and deploying the fix in various production branches.
- Work with engineering team to understand impacts of branches and code merges.
- Identify, communicate, and mitigate release delivery risks.
- Measure and monitor progress to ensure product features are delivered on time.
- Lead recurring release reporting/status meetings to include discussion around release scope, risks and challenges.
- Responsible for planning, monitoring, executing, and implementing the software release strategy.
- Establish completeness criteria for release of successfully tested software component and their dependencies to gate the delivery of releases to Implementation groups
- Serve as a liaison between business units to guarantee smooth and timely delivery of software packages to our Implementations and Support teams
- Create and analyze operational trends and data used for decision making, root cause analysis and performance measurement.
- Build partnerships, work collaboratively, and communicate effectively to achieve shared objectives.
- Make Improvements to processes to improve the experience and delivery for internal and external customers.
- Responsible for ensuring that all security, availability, confidentiality and privacy policies and controls are adhered to.
EXPERIENCE AND KNOWLEDGE:
- Bachelor’s degree in Computer Science, or related field or equivalent experience.
- Minimum 4 years related experience in product release management role.
- Excellent understanding of software delivery lifecycle.
- Technical Background with experience in common Scrum and Agile practices preferred.
- Deep knowledge of software development processes, CI/CD pipelines and Agile Methodology
- Experience with tools like Jenkins, Bitbucket, Jira and Confluence.
- Familiarity with enterprise software deployment architecture and methodologies.
- Proven ability in building effective partnership with diverse groups in multiple locations/environments
- Ability to convey technical concepts to business-oriented teams.
- Capable of assessing and communicating risks and mitigations while managing ambiguity.
- Experience managing customer and internal expectations while understanding the organizational and customer impact.
- Strong organizational, process, leadership, and collaboration skills.
- Strong verbal, written, and interpersonal skills.
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.
What is the role?
As a DevOps Engineer, you are responsible for setting up and maintaining the GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, and Cloud security.
Key Responsibilities
- Set up, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi-hosting cloud environments.
- Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
- Work on Docker images and maintain Kubernetes clusters.
- Develop and maintain the automation scripts using Ansible or other available tools.
- Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
- Work on Cloud security tools to keep applications secured.
- Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve a successful implementation of integrated solutions within the portfolio.
- Have the necessary technical and professional expertise.
What are we looking for?
- Minimum 5-12 years of experience in the IT industry.
- Expertise in implementing and managing DevOps CI/CD pipeline.
- Experience in DevOps automation tools. Well versed with DevOps Frameworks, and Agile.
- Working knowledge of scripting using Shell, Python, Terraform, Ansible, Puppet, or chef.
- Experience and good understanding of any Cloud like AWS, Azure, or Google cloud.
- Knowledge of Docker and Kubernetes is required.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
- Experience working with ticketing tools.
- Middleware technologies knowledge or database knowledge is desirable.
- Experience with Jira is a plus.
What can you look for?
A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact, and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being here.
We are
It is a rapidly growing fintech SaaS firm that propels business growth while focusing on human motivation. Backed by Giift and Apis Partners Growth Fund II,offers a suite of three products - Plum, Empuls, and Compass. Works with more than 2000 clients across 10+ countries and over 2.5 million users. Headquartered in Bengaluru, It is a 300+ strong team with four global offices in San Francisco, Dublin, Singapore, New Delhi.
Way forward
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.
- Have 3+ years of experience in Python development
- Be familiar with common database access patterns
- Have experience with designing systems and monitoring metrics, looking at graphs.
- Have knowledge of AWS, Kubernetes and Docker.
- Be able to work well in a remote development environment.
- Be able to communicate in English at a native speaking and writing level.
- Be responsible to your fellow remote team members.
- Be highly communicative and go out of your way to contribute to the team and help others
- Strong experience using Java programming languages or DevOps on Google Cloud.
- Strong communication skills.
- Experience in Agile methodologies
- Certification on Professional Google Cloud Data engineer will be an added advantage.
- Experience on Google Cloud Platform.
- Experience on Java or DevOps
Required Key Skills :
- Excellent verbal and written communication and interpersonal skills.
- Ability to work independently and within a team environment.
- Interpersonal skills
- GCP, Cloud, Programming
- Agile
- Java programming language or DevOps experience.
CTC- 4L - 7L

Total Experience: 6 – 12 Years
Required Skills and Experience
- 3+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
- 3+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
- Building and running Docker images and deployment on Amazon ECS
- Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
- Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
- Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
- Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
- Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
- Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
- Understanding of IAM, RBAC, NACLs, and KMS
- Good communication skills
Good to have:
- Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
- Knowledge of database administration such as MongoDB.
- Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.
Responsibilities
- Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
- Establish and promote DevOps thinking, guidelines, best practices, and standards.
- Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.









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