DevSecOps Engineer at AdTech Industry · Noida · 8 - 12 years · ₹50L - ₹75L / yr · Posted 22 Dec 2025

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

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Key Responsibilities
- Automate application deployments from Bitbucket to servers using CI/CD pipelines.
- Design and manage scalable, highly available AWS infrastructure.
- Implement Auto Scaling, ELB, and Route 53 for traffic management and high availability.
- Work with AWS services including IAM, RDS, DynamoDB, EC2, and other cloud services.
- Build and manage Docker containers and server images.
- Deploy and manage applications using Kubernetes.
- Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible.
- Develop automation scripts using Python and Bash.
- Implement monitoring and logging using tools such as Prometheus, Grafana, and ELK.
- Integrate security and compliance practices into CI/CD pipelines.
- Optimize infrastructure for security, scalability, performance, and cost.
Required Skills
- 3+ years of experience in DevOps or a similar role.
- Strong knowledge of AWS beyond EC2.
- Hands-on experience with Jenkins or similar CI/CD tools.
- Experience with Docker and Kubernetes.
- Good understanding of Terraform/IaC and automation.
- Proficiency in Python and/or Bash scripting.
- Knowledge of DevSecOps, security, and compliance best practices.
- Strong troubleshooting and problem-solving skills.
About the Role
The non-negotiable is deep, hands-on infrastructure expertise spanning hybrid cloud and self-hosted systems. You will architect and maintain our unique infrastructure combining AWS CDN, bare metal servers, and Kubernetes clusters. This is not just maintenance work: you will establish company-wide DevOps policy, build security-hardened environments, and create the documentation and processes that scale with us. You will design our CI/CD pipelines, implement zero-trust networking, and guide the technical team on how to keep our production systems robustly online. This role is hands-on, autonomous, and sets the standard for how we approach infrastructure as the company grows.
What You'll Build
- Hybrid Infrastructure Management: Architect and maintain our unique infrastructure spanning AWS CDN, bare metal servers, and Kubernetes clusters for computationally intensive facial analysis workloads.
- CI/CD Pipeline Architecture: Design and implement CircleCI or Jenkins pipelines with comprehensive build testing, versioning, and change logging.
- Zero-Trust Networking: Build and maintain mesh topology networks using Tailscale or Wireguard to securely connect our hybrid infrastructure.
- Security-First Culture: Establish and enforce security policies including key rotation, access controls, compliance frameworks, and employee security management.
- Infrastructure as Code: Document and codify all infrastructure decisions, creating repeatable, auditable deployments.
- Containerization Strategy: Implement and optimize Docker/K8s deployments for our AI/ML workloads.
- Cost Optimization: Continue our approach of strategic compute placement using owned, rented or borrowed infrastructure where it makes financial sense without sacrificing security or reliability.
- Observability & Monitoring: Implement comprehensive logging, monitoring, and alerting across our distributed systems.
What We're Looking For
- 5+ years of DevOps or infrastructure engineering experience, with a track record of building from scratch
- Hybrid infrastructure expertise: experience managing both cloud (AWS) and self-hosted infrastructure, understanding the tradeoffs and security risks of each
- Kubernetes production experience: deep knowledge of cluster design, operations, and scaling
- Networking mastery: strong understanding of VPCs, mesh networks, VPNs, and zero-trust architectures
- Security-first mindset: experience with security compliance, key management, IAM policies, and hardening production systems
- CI/CD expertise: hands-on experience building robust pipelines for build testing before deployment
- Infrastructure as Code: proficiency with Terraform, Ansible, or similar tools
- Scripting and automation: strong Python, Bash, or Go skills for tooling and automation
- Policy and documentation: ability to establish best practices and document them clearly for team adoption
- Leadership mentality: comfortable setting standards and directing technical decisions, not just executing them
Nice to Have
- Experience architecting infrastructure for AI/ML workloads
- Background in a fast-moving startup or scale-up environment
- H ands-on experience with cost optimization across cloud and on-premises infrastructure
Why Join
- Opportunity to solve real healthcare problems with cutting-edge technology
- Well-funded startup with a strong market presence
- Work with advanced AI technology in a healthcare context
- Collaborate with a talented team in a fast-paced environment
- Competitive salary with equity options
- Performance and quarterly bonuses
- Professional development opportunities
Compensation and Logistics
- Remote, full-time
- Reports to: Head of Engineering
- Competitive based on experience
Job Description:
- Infrastructure Management: Design, implement, and manage scalable, reliable, and secure cloud infrastructure using AWS, GCP, and/or Azure.
- CI/CD Pipelines: Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines to streamline the development lifecycle.
- Automation: Automate infrastructure provisioning, configuration management, and application deployment processes.
- Monitoring and Performance: Implement monitoring, logging, and alerting solutions to ensure system health, performance, and reliability.
- Security: Ensure the security of cloud infrastructure and applications, including identity management and compliance with industry standards.
- Collaboration: Work closely with client and development teams to integrate DevOps practices and deliver high-quality software.
- Documentation: Maintain comprehensive documentation of infrastructure, configurations, and processes.
- Innovation: Stay current with emerging technologies and industry trends, integrating them into the DevOps strategy as appropriate.
Qualifications:
- Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
- Experience: 7 - 10 years of overall experience with relevant experience of at least 7 years in DevOps and served as a lead or senior engineer.
Job Title : DevOps Engineer / Site Reliability Engineer (SRE)
Experience : 5+ Years
Location : Gurugram, Haryana
Work Mode : On-site (Full-time)
About the Role :
We are looking for a skilled DevOps Engineer with 5+ years of experience in cloud infrastructure, CI/CD, automation, Kubernetes, and Site Reliability Engineering (SRE). The ideal candidate will be responsible for building scalable cloud infrastructure, automating deployments, improving system reliability, and ensuring high availability across production environments.
Mandatory Skills :
AWS, Terraform, Ansible, CloudFormation, Jenkins, GitLab CI, GitHub Actions, Docker, Kubernetes, Helm, Python, Bash, Grafana, Prometheus, ELK Stack, CloudWatch, New Relic, SRE, CI/CD, Infrastructure as Code (IaC), Linux
Key Responsibilities :
- Design, deploy, and manage cloud infrastructure primarily on AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB, Auto Scaling, Lambda).
- Build and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation.
- Develop and optimize CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
- Deploy and manage containerized applications using Docker, Kubernetes, and Helm.
- Implement monitoring and observability using Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
- Drive SRE practices by defining SLIs, SLOs, SLAs, handling production incidents, conducting RCA, and improving system reliability.
- Automate operational tasks using Python, Bash, and Groovy scripting.
- Collaborate with Development, QA, Security, and Operations teams to ensure reliable and secure software delivery.
Required Skills & Qualifications :
- Bachelor's degree in Computer Science, IT, Electronics, or a related field.
- 5+ years of experience in DevOps, SRE, or Cloud Infrastructure.
- Strong expertise in AWS, with exposure to Azure/GCP.
- Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
- Strong scripting skills in Python and Bash.
- Experience with monitoring tools such as Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
- Good understanding of Linux, networking, SQL, and cloud security best practices.
Preferred Skills :
- Experience with multi-cloud environments and DevSecOps practices.
- Knowledge of disaster recovery, automation, and microservices architecture.
- Strong troubleshooting, communication, and problem-solving skills.
Location: Bangalore preferred / Hybrid as applicable
Experience: 3+ years
Education: B.E/B.Tech in Computer Science, Engineering or a related technical discipline
Salary: Above market standards, flexible for the right candidate
Career growth: Long-term opportunity with potential to lead DevOps architecture and cloud platform operations
About FrontM
FrontM builds software platforms for frontline workforces operating in remote and low-connectivity environments, with a strong focus on the maritime industry. The platform supports communication, collaboration, healthcare, learning, welfare and operational workflows across mobile, web, kiosk and connected device environments.
The platform runs across cloud infrastructure, constrained networks and specialised customer environments, requiring reliable DevOps practices, strong observability, secure architecture and careful operational discipline.
Role Summary
As a Senior DevOps Engineer, you will take ownership of FrontM’s AWS cloud infrastructure, CI/CD pipelines, platform reliability and technical operations. You will work closely with the VP of Delivery, CTO and CEO to maintain secure, scalable and high-availability infrastructure for FrontM’s production systems.
This role requires strong hands-on DevOps experience, broad AWS knowledge, Kubernetes experience and the ability to troubleshoot complex networking and production issues across multi-domain SaaS environments.
Key Responsibilities
Cloud Infrastructure & DevOps Architecture (≈45%)
· Own, maintain and improve AWS cloud infrastructure for FrontM platforms
· Create and maintain Terraform scripts for infrastructure deployment and management
· Manage Kubernetes workloads deployed within AWS EKS
· Support multi-zone AWS infrastructure design for availability, resilience and scale
· Maintain AWS services including Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda
· Contribute to DevOps architecture planning in line with FrontM’s platform roadmap
CI/CD, Operations & Platform Reliability (≈35%)
· Build, maintain and improve CI/CD pipelines for backend and platform services
· Oversee technical operations with hands-on administration, monitoring and release support
· Ensure continuous server uptime, stability, performance and maintainability
· Debug, respond to and restore system outages in production and staging environments
· Improve observability across infrastructure and applications, including migration from Elastic stack to logz.io
· Support backend stability, scale and performance across Node.js, Java and related services
Security, Networking & Production Support (≈20%)
· Maintain AWS security configurations, access controls and monitoring practices
· Support complex networking requirements across multi-domain SaaS implementations
· Troubleshoot network, infrastructure and access issues with internal teams and customer-side users
· Work with backend teams to support API integrations and infrastructure abstractions for complex requirements
· Document operational procedures, incident findings and technical support steps clearly
Required Technical Skills
Cloud Infrastructure & AWS
· Strong hands-on experience with AWS infrastructure and cloud operations
· Experience with Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda
· Experience with AWS security setup, monitoring and multi-zone infrastructure
· Ability to manage infrastructure using Terraform
Kubernetes, CI/CD & Observability
· Strong experience with Kubernetes, preferably AWS EKS
· Extensive CI/CD and DevOps experience
· Experience with infrastructure observability and application monitoring tools
· Ability to diagnose production bottlenecks, server failures and performance issues
Backend, Networking & SaaS Operations
· Experience supporting Node.js, Java and backend system procedures for stability and scale
· Good understanding of APIs, integrations and backend service dependencies
· Experience with complex networking and multi-domain SaaS implementations
· Ability to troubleshoot technical issues with non-technical end users
Nice to Have
· Experience with MongoDB clusters in MongoDB Atlas
Personal Attributes
· Strong ownership mindset for uptime, reliability and production stability
· Practical problem-solving approach with the ability to act quickly during incidents
· Clear written and spoken communication in English
· Ability to work independently and coordinate with senior management when required
· Comfortable working in fast-moving engineering teams
· Attention to detail in security, monitoring, documentation and operational processes
Why join FrontM?
Long-Term Career Growth
Opportunity to work on cloud infrastructure used by global maritime and remote workforce customers, with scope to grow into DevOps architecture and platform leadership roles.
Engineering Challenges That Matter
Work on infrastructure that supports applications used in remote, low-bandwidth and operationally demanding environments.
Broad Technical Ownership
Take responsibility across cloud infrastructure, Kubernetes, CI/CD, observability, networking, security and production reliability.
Apply now
Join a team focused on building reliable software infrastructure for real-world use cases and contribute to systems used across the global maritime workforce.
This is a senior role in our Application & Database Modernization pillar, on a specific mission: leading a large-scale VMware-to-AWS migration and landing it in production. VMware estates are exactly where modernization programs go to stall — sprawling dependency graphs, undocumented workloads, and a hypervisor bill that grows while the migration deck gathers dust. Our customers need that estate moved, cut over, and retired, on a date in the contract.
You'll lead the design and implementation of the target infrastructure: Landing Zones built to AWS best practices, EKS-based container platforms, Infrastructure as Code across the stack with Terraform and CloudFormation, and HA, DR, security, and backup strategies that hold up in production. Aedeon absorbs the discovery, dependency-mapping, and validation grind that would otherwise consume the project's first two quarters. You own the judgment calls, architecture tradeoffs, cutover sequencing, risk decisions and you carry them through to production. You'll also mentor engineers and shape long-term infrastructure strategy with customer stakeholders. If you want your migration experience to end in retired VMware clusters rather than revised project plans, this is the role.
What you will do?
- Lead the design and implementation of infrastructure for a large-scale VMware-to-AWS migration — from discovery through production cutover.
- Architect and build secure, scalable, and highly available AWS environments, including Landing Zones that follow AWS best practices.
- Design and implement containerized application platforms on Amazon EKS; exposure to ECS is a plus.
- Implement Infrastructure as Code using Terraform and AWS CloudFormation.
- Define and enforce best practices across security, backups, high availability (HA), disaster recovery (DR), monitoring, and operations.
- Enable configuration management using tools such as Ansible, Chef, or similar.
- Build CI/CD pipelines and manage the complete build and release lifecycle for customer applications.
- Drive automation across provisioning, deployment, and operational workflows.
- Retire legacy infrastructure and land cloud-native architectures in its place.
- Improve and maintain DevOps platforms: Jenkins, Git repositories, monitoring, and observability stacks.
- Provide L3-level support for complex infrastructure and platform issues.
- Work with stakeholders on technical strategy and long-term architecture.
- Mentor engineers, contribute to talent evaluation, and support team development.
What are we looking for?
- 6+ years of hands-on DevOps experience, with strong expertise in designing and managing cloud infrastructure.
- Strong experience in VMware-to-AWS migration projects or large-scale infrastructure migrations.
- 4+ years of Terraform and CloudFormation for Infrastructure as Code (IaC).
- 4+ years in configuration management, systems engineering, and managing production-grade infrastructure.
- Solid Linux and/or Windows administration background.
- Deep understanding of AWS services, including VPC, EC2, IAM, EKS, ECS, RDS, S3, Backup, CloudWatch, etc.
- Experience with Kubernetes (EKS), ECS, and Docker in production environments.
- Hands-on experience designing HA, DR, security, and backup strategies.
- Experience with Landing Zone setup, multi-account strategy, and AWS governance frameworks.
- Proficiency in Git with a strong understanding of branching and merging strategies.
- Experience with CI/CD pipelines, automation, and operational tooling.
- A problem-solving mindset that's proactive and oriented toward reliability, performance, and scalability.
You will be preferred if
- Experience across multiple cloud platforms (AWS, Azure, GCP).
- AWS certifications such as Solutions Architect Associate/Professional or DevOps Engineer Professional.
- Exposure to data platforms such as Amazon EMR, Redshift, Lake Formation, and SageMaker.
- Experience designing cloud architectures at an L3/Architect level.
Job Title : DevOps Engineer / Site Reliability Engineer (SRE)
Experience : 4+ Years
Location : Gurugram, Sector 48, Haryana (On-site)
Employment Type : Full-Time
Working Days : Monday to Saturday (1st & 3rd Saturday Off)
About the Role :
We are looking for a hands-on DevOps Engineer / Site Reliability Engineer (SRE) with strong experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, and production application deployments.
The ideal candidate should have real-world production experience, excellent troubleshooting skills, and the ability to manage both infrastructure and application-level issues.
Mandatory Skills :
Linux, AWS, Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, CI/CD, Infrastructure as Code (IaC), Python, Bash, Git, Grafana, Prometheus, ELK, CloudWatch, New Relic, SRE (SLI/SLO/SLA), Networking (DNS, HTTP/HTTPS, TCP/IP, Load Balancer), Production Application Deployment & Troubleshooting
Key Responsibilities :
- Manage and maintain AWS cloud infrastructure.
- Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
- Deploy, monitor, and troubleshoot applications across production environments.
- Automate infrastructure using Terraform and Ansible.
- Manage Docker containers and Kubernetes clusters.
- Monitor systems using Grafana, Prometheus, ELK, CloudWatch, and New Relic.
- Perform Linux server administration and troubleshooting.
- Handle production incidents, Root Cause Analysis (RCA), and improve system reliability.
- Collaborate with development teams to support application releases and automation.
Required Qualifications :
- Bachelor's degree in Computer Science or related field.
- 4+ years of hands-on experience in DevOps / SRE.
- Strong Linux administration and production troubleshooting skills.
- Experience with AWS and modern DevOps toolchains.
- Hands-on experience with application deployment and production support.
What We're Looking For :
- Strong practical Linux and cloud knowledge.
- Real production experience with application deployments.
- Ability to troubleshoot both infrastructure and application issues.
- Experience handling live production incidents.
- Excellent communication and problem-solving skills.
- Candidates should be comfortable with scenario-based technical discussions and demonstrate genuine hands-on expertise.
Interview Process :
- HR Screening
- Technical Round
- Client Technical Round
- Final Discussion
Note : The interview will focus on practical hands-on experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, application deployment, production troubleshooting, and real-world DevOps scenarios.
As a DevOps Engineer at YOYO, you'll own the infrastructure and delivery backbone that keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and observability that let a small, fast-moving team ship confidently and you'll keep our AI and data workloads reliable and affordable at scale. This is a hands-on role with real ownership: you won't be maintaining someone else's setup, you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make deployment boring, incidents rare, and scaling a non-event.
If you are Interested DM me on LinkedIn - Saquib Mundagnur
What You'll Own
CI/CD & developer experience - Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible automated testing, rollbacks, and release controls.Cloud infrastructure & IaC - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.
Containers & orchestration - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch processing for the speech pipeline.
Reliability & observability (SRE) - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.
Data & pipeline infrastructure - Support the infrastructure behind large-scale, edge-to-cloud data movement and processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.
Security & compliance - Bake security into the platform: secrets management, IAM/least-privilege, encryption in transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security requirements) for a product that handles sensitive customer conversations.
Cost & scale - Own cloud cost visibility and optimization; make scaling decisions that balance reliability and spend.
What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production systems at meaningful scale.
- Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and Infrastructure-as-Code (**Terraform** or equivalent).
- Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, Jenkins, Argo, or similar).
- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong automation-first mindset.
- Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, OpenTelemetry, or similar) and running incident response / on-call.
- A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team
🚀 Job Title : DevOps Engineer / Site Reliability Engineer (SRE)
Experience Level : 4+ Years
Location : Gurugram Sector 48, Haryana (On-site)
Employment Type : Full Time Opportunity
About the Role :
We are looking for a proactive DevOps / Site Reliability Engineer (SRE) with around 4 years of hands-on experience designing, automating, and scaling cloud infrastructure and CI/CD delivery pipelines.
In this role, you will bridge the gap between development and operations. You will be responsible for orchestrating containerized applications, automating infrastructure via Code (IaC), establishing SRE best practices (SLIs, SLOs, SLAs), and ensuring maximum uptime, resiliency, and operational efficiency across multi-cloud environments (AWS/Azure/GCP).
Mandatory Skills :
AWS, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Python, Bash, CI/CD, Infrastructure as Code (IaC), Grafana, Prometheus, ELK, New Relic, CloudWatch, SRE, SLI/SLO/SLA, Linux
Key Responsibilities :
1. Cloud Infrastructure & Infrastructure as Code (IaC) :
- Provision, configure, and maintain scalable, high-availability infrastructure on multi-cloud platforms, primarily AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB/ASG, Lambda, EBS).
- Build, deploy, and manage Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation to enforce consistency and eliminate configuration drift.
- Execute disaster recovery (DR) planning, automated failover / failback mechanisms, and chaos engineering exercises to validate system resiliency.
2. CI/CD, Automation & Development :
- Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
- Automate release pipelines, versioning, branching strategies, and approval gates using Groovy, Python, and Bash scripting. Integrate automated code quality and security scanning tools (SonarQube, Black Duck, or Fortify) directly into delivery pipelines.
- Develop custom tools, scripts, or microservices (e.g., Python / Node.js) to automate manual operational tasks and operational toil.
3. Containerization & Orchestration :
- Onboard and orchestrate containerized microservices utilizing Docker and Kubernetes (including Helm charts).
- Ensure high availability, auto-scaling, resource management, and fault tolerance for Kubernetes pod deployments.
4. Observability, SRE & Incident Management :
- Drive Site Reliability Engineering (SRE) maturity by establishing, tracking, and reporting SLIs, SLOs, and SLAs with cross-functional engineering teams.
- Build, configure, and manage full-stack observability tools : Grafana, Prometheus, New Relic, Elasticsearch / Logstash / Kibana (ELK), Sentry, and AWS CloudWatch.
- Set up real-time alerting, custom metric dashboards, and automated log rotation / pruning scripts.
- Handle production incidents, lead Root Cause Analysis (RCA) investigations, and implement preventive measures to reduce Mean Time to Resolution (MTTR).
Required Qualifications & Skills :
- Education : Bachelor’s Degree in Electronics and Communication Engineering, Computer Science, or a related technical field.
- Experience : ~4 years of experience in DevOps, SRE, or Cloud System Administration roles.
- Cloud & Infrastructure : Hands-on experience with AWS (Core services like EC2, S3, VPC, RDS, IAM, Lambda, Auto Scaling) and exposure to Azure / GCP.
- CI/CD & Version Control : Proficiency with Jenkins, GitLab CI, GitHub Actions, and Git workflows.
- Containerization : Core proficiency in Docker and Kubernetes cluster management / onboarding.
- Infrastructure as Code : Expertise in Ansible, Terraform, or AWS CloudFormation.
- Scripting & Languages : Strong hands-on automation skills with Python, Bash, and foundational knowledge of Node.js, Java or C++.
- Observability & Logging : Strong experience with Grafana, Prometheus, New Relic, ELK stack, or Splunk.
- Database & SQL : Familiarity with relational databases (MySQL, RDS) for monitoring setup and operational analytics.
Job Description:
Pre-requisite skills required for a DevOps Engineer role include:
- 6+yrs exp in DevOps
- Experience working on Linux based infrastructure
- knowledge in AWS, docker, CI/CD tools
- Hands on exp in Python/shell scripting language
- hands on exp in AWS and Azure
- Work exp in Docker, Terraform, Ansible, Kubernetes, LINUX
- Excellent understanding of Ruby, Python, Perl, and Java
- Configuration and managing databases such as MySQL, Mongo
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies, and cloud services






