
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 Spark Eighteen
About
Similar jobs (10)
GCP Cloud Engineer:
- Proficiency in infrastructure as code (Terraform).
- Scripting and automation skills (e.g., Python, Shell). Knowing python is must.
- Collaborate with teams across the company (i.e., network, security, operations) to build complete cloud offerings.
- Design Disaster Recovery and backup strategies to meet application objectives.
- Working knowledge of Google Cloud
- Working knowledge of various tools, open-source technologies, and cloud services
- Experience working on Linux based infrastructure.
- Excellent problem-solving and troubleshooting skills
About the company
The client is a US-based cybersecurity startup prevents, detects, and responds to software supply chain attacks by analyzing behavior across the full software development lifecycle for both developers and AI coding agents. They are building a vertical AI agent for supply chain security across three pillars: securing AI agents on developer machines, OSS package security, and CI/CD security, covering the entire agentic pipeline from dev environment to cloud.
Founded by ex-Microsoft, 21 years & ex-Uber, Microsoft, Plaid founders, they are a 16-person team working on hard problems at the intersection of security, AI, and open source.
Why this role is exciting
They are at the forefront of supply chain security research and product development. They were the first to detect several major supply chain attacks in 2025 and 2026, including the axios npm compromise and tj-actions. Their research is regularly cited by Bloomberg, TechCrunch, Hacker News, and Dark Reading. The US Cybersecurity and Infrastructure Security Agency (CISA) has published advisories citing the company.
Beyond their enterprise customers, the company has been adopted by more than 15,000 open-source projects, including projects from Microsoft, Google, Amazon, and Datadog.
This is a zero-to-one platform role. Today the AWS cost, service health visibility, and their release process are owned in pieces by engineers who are also shipping product. You will own all three end to end, as the first dedicated platform hire, with meaningful early-stage equity upside.
Their stack
GitHub.com for code repositories. GitHub Actions for CI/CD pipelines. AWS serverless for hosting our services: Lambda, API Gateway, DynamoDB, and S3. Backend services are written in Golang.
What you'll do
- Own AWS cost. Build real visibility into where our cloud spend goes, then drive it down. Put guardrails and anomaly alerting in place so cost regressions get caught in days, not at the end of the month.
- Build service health visibility. Define and instrument the metrics that tell us whether the platform is healthy. Build the dashboards, set the SLOs, and wire up alerting that pages on real problems and stays quiet otherwise.
- Own the release process. Design and implement how code gets from a pull request to production, including staged rollouts, rollback, release approvals, and change management that satisfies our enterprise customers and our ISO 27001 obligations without slowing engineers down.
- Improve stability. Run infrastructure as code, tighten our incident response and on-call practices, and drive postmortems to actual fixes.
- Secure our own pipelines. We sell CI/CD and cloud security, so our own build and deploy path should be the best reference implementation we have. You will run it that way.
What we're looking for
- 2 to 5 years of experience with strong engineering fundamentals.
- Demonstrated AWS cost reduction. We want to hear what the spend was, what you did, and what it became.
- Hands-on depth with AWS serverless in production, not just in theory.
- Experience implementing metrics, dashboards, and alerting for service health, and evidence that it changed how the team operated.
- Experience building or significantly improving CI/CD and release processes, ideally with GitHub Actions.
- Comfortable writing code. Golang or Python, plus infrastructure as code.
- An AI-native mindset, with prior hands-on experience building with or operating AI agents.
- Early-stage startup experience. You are extremely hands-on and can drive a problem end to end without a team behind you.
- A security background is a plus but not required.
Job Responsibilities:
Section 1 -
- Responsible for managing and providing L1 support to Build, design, deploy and maintain the implementation of Cloud solutions on AWS.
- Implement, deploy and maintain development, staging & production environments on AWS.
- Familiar with serverless architecture and services on AWS like Lambda, Fargate, EBS, Glue, etc.
- Understanding of Infra as a code and familiar with related tools like Terraform, Ansible Cloudformation etc.
Section 2 -
- Managing the Windows and Linux machines, Kubernetes, Git, etc.
- Responsible for L1 management of Servers, Networks, Containers, Storage, and Databases services on AWS.
Section 3 -
- Timely monitoring of production workload alerts and quick addressing the issues
- Responsible for monitoring and maintaining the Backup and DR process.
Section 4 -
- Responsible for documenting the process.
- Responsible for leading cloud implementation projects with end-to-end execution.
Qualifications: Bachelors of Engineering / MCA Preferably with AWS, Cloud certification
Skills & Competencies
- Linux and Windows servers management and troubleshooting.
- AWS services experience on CloudFormation, EC2, RDS, VPC, EKS, ECS, Redshift, Glue, etc. - AWS EKS
- Kubernetes and containers knowledge
- Understanding of setting up AWS Messaging, streaming and queuing Services(MSK, Kinesis, SQS, SNS, MQ)
- Understanding of serverless architecture. - High understanding of Networking concepts
- High understanding of Serverless architecture concept - Managing to monitor and alerting systems
- Sound knowledge of Database concepts like Dataware house, Data Lake, and ETL jobs
- Good Project management skills
- Documentation skills
- Backup, and DR understanding
Soft Skills - Project management, Process Documentation
Ideal Candidate:
- AWS certification with between 2-4 years of experience with certification and project execution experience.
- Someone who is interested in building sustainable cloud architecture with automation on AWS.
- Someone who is interested in learning and being challenged on a day-to-day basis.
- Someone who can take ownership of the tasks and is willing to take the necessary action to get it done.
- Someone who is curious to analyze and solve complex problems.
- Someone who is honest with their quality of work and is comfortable with taking ownership of their success and failure, both.
Behavioral Traits
- We are looking for someone who is interested to be part of creativity and the innovation-based environment with other team members.
- We are looking for someone who understands the idea/importance of teamwork and individual ownership at the same time.
- We are looking for someone who can debate logically, respectfully disagree, and can admit if proven wrong and who can learn from their mistakes and grow quickly
JOB DETAILS:
- Job Title: Lead DevOps Engineer
- Industry: Ride-hailing
- Experience: 6-9 years
- Working Days: 5 days/week
- Work Mode: ONSITE
- Job Location: Bangalore
- CTC Range: Best in Industry
Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)
Criteria:
1. Candidate must be from a product-based or scalable app-based start-ups company with experience handling large-scale production traffic.
2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members at least)
4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed
5. Candidate must have Self experience in database migration from scratch
6. Must have a firm hold on the container orchestration tool Kubernetes
7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
8. Understanding programming languages like GO/Python, and Java
9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
10. Working experience on Cloud platform -AWS
11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.
Description
Job Summary:
As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.
Job Responsibilities:
● Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
● Codify our infrastructure
● Do what it takes to keep the uptime above 99.99%
● Understand the bigger picture and sail through the ambiguities
● Scale technology considering cost and observability and manage end-to-end processes
● Understand DevOps philosophy and evangelize the principles across the organization
● Strong communication and collaboration skills to break down the silos
Job Requirements:
● B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience
● Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
● Must have a firm hold on the container orchestration tool Kubernetes
● Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
● Strong problem-solving skills, and ability to write scripts using any scripting language
● Understanding programming languages like GO/Python, and Java
● Comfortable working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
What’s there for you?
Company’s team handles everything – infra, tooling, and self-manages a bunch of databases, such as
● 150+ microservices with event-driven architecture across different tech stacks Golang/ java/ node
● More than 100,000 Request per second on our edge gateways
● ~20,000 events per second on self-managed Kafka
● 100s of TB of data on self-managed databases
● 100s of real-time continuous deployment to production
● Self-managed infra supporting
● 100% OSS
ROLE & RESPONSIBILITIES:
We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.
KEY RESPONSIBILITIES:
1. Cloud Security (AWS)-
- Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
- Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
- Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
- Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
- Ensure encryption of data at rest/in transit across all cloud services.
2. DevOps Security (IaC, CI/CD, Kubernetes, Linux)-
Infrastructure as Code & Automation Security:
- Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
- Enforce misconfiguration scanning and automated remediation.
CI/CD Security:
- Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
- Implement secure build, artifact signing, and deployment workflows.
Containers & Kubernetes:
- Harden Docker images, private registries, runtime policies.
- Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
- Apply CIS Benchmarks for Kubernetes and Linux.
Monitoring & Reliability:
- Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
- Ensure audit logging across cloud/platform layers.
3. MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-
Pipeline & Workflow Security:
- Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
- Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.
ML Platform Security:
- Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
- Control model access, artifact protection, model registry security, and ML metadata integrity.
Data Security:
- Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
- Enforce data versioning security, lineage tracking, PII protection, and access governance.
ML Observability:
- Implement drift detection (data drift/model drift), feature monitoring, audit logging.
- Integrate ML monitoring with Grafana/Prometheus/CloudWatch.
4. Network & Endpoint Security-
- Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
- Conduct vulnerability assessments, penetration test coordination, and network segmentation.
- Secure remote workforce connectivity and internal office networks.
5. Threat Detection, Incident Response & Compliance-
- Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
- Build security alerts, automated threat detection, and incident workflows.
- Lead incident containment, forensics, RCA, and remediation.
- Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
- Maintain security policies, procedures, RRPs (Runbooks), and audits.
IDEAL CANDIDATE:
- 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
- Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
- Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
- Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
- Strong Linux security (CIS hardening, auditing, intrusion detection).
- Proficiency in Python, Bash, and automation/scripting.
- Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
- Understanding of microservices, API security, serverless security.
- Strong understanding of vulnerability management, penetration testing practices, and remediation plans.
EDUCATION:
- Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
- Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits

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
- Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
- Design and build tools and frameworks that support deployment and management and platforms
- Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
- Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
- Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
- Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
- Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
- Work independently across multiple platforms and applications to understand dependencies
- Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
- Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
- Competencies
- Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
- Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
- Working knowledge of Amazon Web Services and related APIs
- Ability to deliver and manage web or cloud-based services
- General familiarity with monitoring tools
- General familiarity with configuration/provisioning tools such as Terraform
- Experience
- Experience working within an Agile type environment
- 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
- 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes
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).
● Explore
○ As a devops engineer, you will have multiple ways, tools & technologies to solve
a particular problem. We want you to take things in your own hands and figure
out the best way to solve it.
● PDCT
○ Plan, design, code & write test cases for problems you are solving
● Tuning
○ Help to tune performance and ensure high availability of infrastructure, including
reviewing system and application logs
● Security
○ Work on code-level application security
● Deploy
○ Deploy, manage and operate scalable, highly available, and fault-tolerant
systems in client environments.
Technologies (4 out of 5 are required) :
● Terraform*
● Docker*
● Kubernetes*
● Bash Scripting
● SQL
(* marked are a must)
The challenges are great (as are the rewards). If you are looking to take these DevOps
challenges head on & wish to learn a great deal out of it and contribute to the company along
the way, this is the role for you.
Ready?
If developing impactful product for a initial stage startup sounds appealing to you, let’s
have a conversation. (Confidential, of course)
- Candidate should be able to write the sample programs using the Tools (Bash, PowerShell, Python or Shell scripting)
- Analytical/logical reasoning
- GitHub Actions
- Should have good working experience with GitHub Actions
- Repository/Workflow Dispatch, writing reusable workflows, etc
- AZ CLI commands
- Hands-on experience with AZ CLI commands








