
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
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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 Title: Senior DevOps Engineer (Cybersecurity & VAPT)
Location: Vashi (On-site)
Shift: 10:00 AM – 7:00 PM
Experience: 5+ years
Job Summary
Hiring a Senior DevOps Engineer with strong cloud, CI/CD, automation skills and hands-on experience in Cybersecurity & VAPT to manage deployments, secure infrastructure, and support DevSecOps initiatives.
Key Responsibilities
Cloud & Infrastructure
Manage deployments on AWS/Azure
Maintain Linux servers & cloud environments
Ensure uptime, performance, and scalability
CI/CD & Automation
Build and optimize pipelines (Jenkins, GitHub Actions, GitLab CI/CD)
Automate tasks using Bash/Python
Implement IaC (Terraform/CloudFormation)
Containerization
Build and run Docker containers
Work with basic Kubernetes concepts
Cybersecurity & VAPT
Perform Vulnerability Assessment & Penetration Testing
Identify, track, and mitigate security vulnerabilities
Implement hardening and support DevSecOps practices
Assist with firewall/security policy management
Monitoring & Troubleshooting
Use ELK, Prometheus, Grafana, CloudWatch
Resolve cloud, deployment, and infra issues
Cross-Team Collaboration
Work with Dev, QA, and Security for secure releases
Maintain documentation and best practices
Required Skills
AWS/Azure, Linux, Docker
CI/CD tools: Jenkins, GitHub Actions, GitLab
Terraform / IaC
VAPT experience + understanding of OWASP, cloud security
Bash/Python scripting
Monitoring tools (ELK, Prometheus, Grafana)
Strong troubleshooting & communication
Job Summary:
We are looking for a highly skilled and experienced DevOps Engineer who will be responsible for the deployment, configuration, and troubleshooting of various infrastructure and application environments. The candidate must have a proficient understanding of CI/CD pipelines, container orchestration, and cloud services, with experience in AWS services like EKS, EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment. The DevOps Engineer will be responsible for monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration, among other tasks. They will also work with application teams on infrastructure design and issues, and architect solutions to optimally meet business needs.
Responsibilities:
- Deploy, configure, and troubleshoot various infrastructure and application environments
- Work with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment
- Monitor, automate, troubleshoot, secure, maintain users, and report on infrastructure and applications
- Collaborate with application teams on infrastructure design and issues
- Architect solutions that optimally meet business needs
- Implement CI/CD pipelines and automate deployment processes
- Disaster recovery and infrastructure restoration
- Restore/Recovery operations from backups
- Automate routine tasks
- Execute company initiatives in the infrastructure space
- Expertise with observability tools like ELK, Prometheus, Grafana , Loki
Qualifications:
- Proficient understanding of CI/CD pipelines, container orchestration, and various cloud services
- Experience with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc.
- Experience in monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration
- Experience in architecting solutions that optimally meet business needs
- Experience with scripting languages (e.g., Shell, Python) and infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation)
- Strong understanding of system concepts like high availability, scalability, and redundancy
- Ability to work with application teams on infrastructure design and issues
- Excellent problem-solving and troubleshooting skills
- Experience with automation of routine tasks
- Good communication and interpersonal skills
Education and Experience:
- Bachelor's degree in Computer Science or a related field
- 5 to 10 years of experience as a DevOps Engineer or in a related role
- Experience with observability tools like ELK, Prometheus, Grafana
Working Conditions:
The DevOps Engineer will work in a fast-paced environment, collaborating with various application teams, stakeholders, and management. They will work both independently and in teams, and they may need to work extended hours or be on call to handle infrastructure emergencies.
Note: This is a remote role. The team member is expected to be in the Bangalore office for one week each quarter.
LogiNext is looking for a technically savvy and passionate Principal DevOps Engineer or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.
Responsibilities:
Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations to automate daily tasks Ensure High Availability and Auto-failover with minimum or no manual interventions
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 8 to 10 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in query analysis, peformance tuning, database redesigning, Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
Profile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days
Job Descrtiption:
Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB
Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.
Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application
Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator
Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support, implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.
KaiOS is a mobile operating system for smart feature phones that stormed the scene to become the 3rd largest mobile OS globally (2nd in India ahead of iOS). We are on 100M+ devices in 100+ countries. We recently closed a Series B round with Cathay Innovation, Google and TCL.
What we are looking for:
- BE/B-Tech in Computer Science or related discipline
- 3+ years of overall commercial DevOps / infrastructure experience, cross-functional delivery-focused agile environment; previous experience as a software engineer and ability to see into and reason about the internals of an application a major plus
- Extensive experience designing, delivering and operating highly scalable resilient mission-critical backend services serving millions of users; experience operating and evolving multi-regional services a major plus
- Strong engineering skills; proficiency in programming languages
- Experience in Infrastructure-as-code tools, for example Terraform, CloudFormation
- Proven ability to execute on a technical and product roadmap
- Extensive experience with iterative development and delivery
- Extensive experience with observability for operating robust distributed systems – instrumentation, log shipping, alerting, etc.
- Extensive experience with test and deployment automation, CI / CD
- Extensive experience with infrastructure-as-code and tooling, such as Terraform
- Extensive experience with AWS, including services such as ECS, Lambda, DynamoDB, Kinesis, EMR, Redshift, Elasticsearch, RDS, CloudWatch, CloudFront, IAM, etc.
- Strong knowledge of backend and web technology; infrastructure experience with at-scale modern data technology a major plus
- Deep expertise in server-side security concerns and best practices
- Fluency with at least one programming language. We mainly use Golang, Python and JavaScript so far
- Outstanding analytical thinking, problem solving skills and attention to detail
- Excellent verbal and written communication skills
Requirements
Designation: DevOps Engineer
Location: Bangalore OR Hongkong
Experience: 4 to 7 Years
Notice period: 30 days or Less
Requirements:-
- Must have good understanding of Python and Shell scripting with industry standard coding conventions
- Must possess good coding debugging skills
- Experience in Design & Development of test framework
- Experience in Automation testing
- Good to have experience in Jenkins framework tool
- Good to have exposure to Continuous Integration process
- Experience in Linux and Windows OS
- Desirable to have Build & Release Process knowledge
- Experience in Automating Manual test cases
- Experienced in automating OS / FW related tasks
- Understanding of BIOS / FW QA is a strong plus
- OpenCV experience is a plus
- Good to have platform exposure
- Must have good Communication skills
- Good Leadership capabilities & collaboration capabilities, as individual will have to work with multiple teams and single handedly maintain the automation framework and enable the Manual validation team
We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead ( and/or CTO ) to identify and establish DevOps practices in the company.
You will help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
Responsibilities
- Implement and own the CI.
- Manage CD tooling.
- Implement and maintain monitoring and alerting.
- Build and maintain highly available production systems.
Qualification- B.tech in IT









