Senior devops engineer at Hiring for a gaming company · Delhi · 4 - 8 years · ₹14L - ₹15L / yr · Posted 2 May 2022
Amazon Web Services (AWS)
Docker
Kubernetes- Must have a minimum of 3 years of experience in managing AWS resources and automating CI/CD pipelines.
- Strong scripting skills in PowerShell, Python or Bash be able to build and administer CI/CD pipelines.
- Knowledge of infrastructure tools like Cloud Formation, Terraform, Ansible.
- Experience with microservices and/or event-driven architecture.
- Experience using containerization technologies (Docker, ECS, Kubernetes, Mesos or Vagrant).
- Strong practical Windows and Linux system administration skills in the cloud.
- Understanding of DNS, NFS, TCP/IP and other protocols.
- Knowledge of secure SDLC, OWASP top 10 and CWE/SANS top 25.
- Deep understanding of Web Sockets and their functioning. Hands on experience of ElasticCache, Redis, ECS or EKS. Installation, configuration and management of Apache or Nginx web server, Apache/Tomcat Application Server, configure SSL certificates, setup reverse proxy.
- Exposure to RDBMS (MySQL, SQL Server, Aurora, etc.) is a plus.
- Exposure to programming languages like JAVA, PHP, SQL is a plus.
- AWS Developer or AWS SysOps Administrator certification is a plus.
- AWS Solutions Architect Certification experience is a plus.
- Experience building Blue/Green, Canary or other zero down time deployment strategies, advanced understanding of VPC, EC2 Route53 IAM, Lambda is a plus.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)Docker
PythonCompany Overview:
Planview is hiring a DevOps Engineer in Bengaluru, India to support Planview SaaS applications across the product line. You will work in a global, collaborative team — owning CI/CD pipelines, cloud infrastructure, and automation to keep deployments fast and systems reliable.
Responsibilities
- Build and maintain CI/CD pipelines in Jenkins for reliable, fast delivery.
- Manage containerized workloads on Docker and ECS — task definitions, services, and clusters.
- Provision and manage AWS infrastructure using Terraform (CloudFormation a plus).
- Automate configuration and deployment tasks using Python (Ansible a plus).
- Set up and maintain monitoring and alerting via New Relic (CloudWatch, Datadog, or Prometheus/Grafana a plus).
- Write Shell and Python scripts to automate operations and reduce manual work.
- Manage Git workflows — branching, merge strategies, and pull request reviews.
- Administer and support MSSQL databases underpinning the product line — backups, restores, and basic performance troubleshooting.
- Troubleshoot deployment, performance, and infrastructure issues with development teams.
- Participate in on-call rotations and drive incident response.
- Continuously improve infrastructure resilience and deployment speed.
- Apply AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code) to speed up IaC authoring, pipeline debugging, and day-to-day scripting.
Qualifications
Must-Have Skills
- Experience: 4–6 years of experience in DevOps, SRE, or Infrastructure Engineering.
- OS: Linux & Windows administration (systemd, package management, log analysis).
- Cloud: AWS (Active Directory, ECS, EC2, CloudFront, S3, VPC, IAM, RDS, Lambda basics).
- Source Control: Git — branching, merge/rebase, PR reviews.
- CI/CD (Jenkins): Pipeline creation and basic Groovy scripting.
- Containerization (Docker + ECS): Task definitions, services, and clusters.
- IaC: Terraform.
- Monitoring: New Relic.
- Scripting: Bash and Python scripting for automation.
- Networking Basics: DNS, load balancers, security groups, VPNs.
- Logging: ELK stack / CloudWatch Logs.
- Database: MSSQL administration — backups, restores, basic performance troubleshooting.
- Infrastructure Automation: Hands-on experience automating infrastructure provisioning, configuration, and deployment end-to-end.
- AI-Assisted Engineering: Comfortable working with AI coding/DevOps assistants (e.g., GitHub Copilot, Claude Code) for IaC generation, scripting, and troubleshooting — verified via a mandatory AI proficiency assessment during interviews.
Nice-to-Have Skills
• Configuration Management: Ansible.
• Additional IaC: CloudFormation.
• Architecture: Knowledge of microservices architecture.
• Cloudflare: DNS, CDN, WAF.
• Artifact Repositories: Nexus, JFrog Artifactory, ECR.
• Other CI/CD Tools: GitHub Actions.
• AWS cost optimization / FinOps awareness.
• Datadog, CloudWatch, or Prometheus/Grafana.
• AIOps: Exposure to AI-driven anomaly detection, root-cause analysis, or incident triage (e.g., Dynatrace Davis AI, Datadog Bits AI, Harness AIDA).
• Database Basics: RDS backups, restores, performance tuning.
PythonDockerGCP 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
Amazon Web Services (AWS)
grafanaKey Responsibilities
DevOps Strategy & Leadership
- Define and execute the end-to-end DevOps strategy for high-frequency trading and fintech platforms.
- Lead, mentor, and scale a high-performing DevOps team focused on automation, reliability, and performance.
- Partner closely with engineering and product leaders to ensure infrastructure strategy supports business and technical goals.
CI/CD & Infrastructure Automation
- Architect, implement, and optimize enterprise-grade CI/CD pipelines for ultra-low-latency trading systems.
- Drive Infrastructure as Code (IaC) adoption using Terraform, Helm, Kubernetes, and advanced automation toolsets.
- Establish robust release management, deployment workflows, and versioning best practices for mission‑critical environments.
Cloud & On‑Prem Infrastructure Management
- Design and manage hybrid infrastructures across AWS, GCP, and on-premise data centers ensuring high availability and fault tolerance.
- Implement sophisticated networking strategies for low-latency workloads including routing optimization and performance tuning.
- Lead multi‑cloud scalability, cost optimization, and environment standardization initiatives.
Performance Monitoring & Optimization
- Oversee large-scale monitoring systems using Prometheus, Grafana, ELK, and related observability tools.
- Implement predictive alerting, automated remediation, and system‑wide health checks for zero‑downtime operations.
- Conduct root-cause analyses and performance tuning for systems processing millions of transactions per second.
Security & Compliance
- Champion DevSecOps practices and embed security across the entire development and deployment lifecycle.
- Ensure adherence to financial regulatory standards (SEBI and global frameworks) with strong audit and compliance mechanisms.
- Lead security automation efforts, vulnerability management, and advanced IAM policy implementation.
Required Skills & Qualifications
- 10+ years of DevOps experience, with 5+ years in a leadership capacity.
- Deep hands-on expertise in CI/CD tools such as Jenkins, GitLab CI/CD, and ArgoCD.
- Strong command of AWS, GCP, and hybrid cloud infrastructures.
- Expert-level knowledge of Kubernetes, Docker, and large-scale container orchestration.
- Advanced proficiency in Terraform, Helm, and overall IaC workflows.
- Strong Linux administration, networking fundamentals (TCP/IP, DNS, Firewalls), and system internals.
- Experience with monitoring and observability platforms (Prometheus, Grafana, ELK).
- Excellent scripting skills in Python, Bash, or Go for automation and tooling.
- Deep understanding of security principles, encryption, IAM, and compliance frameworks.
Good to Have
- Experience with ultra-low-latency or high-frequency trading systems.
- Knowledge of FIX protocol, FPGA acceleration, or network‑level optimizations.
- Familiarity with Redis, Nginx, or other high‑throughput systems.
- Exposure to micro‑second‑level performance tuning or network acceleration technologies.
Why Join Us?
- Be part of a team that consistently raises the bar and delivers exceptional engineering outcomes.
- A culture where innovation, ownership, and bold thinking are valued.
- Exceptional growth opportunities—ideal for someone who thrives in fast-paced, high-impact environments.
- Build systems that influence markets and redefine the fintech landscape.
This isn’t just a role—it’s a challenge, a platform, and a proving ground.
Ready to step up? Apply now.
KubernetesDockerJob Details
- Job Title: Lead DevOps Engineer
- Industry: Consumer Internet, Technology & Travel and Tourism Platform
- Function - IT
- Experience Required: 7-10 years
- Employment Type: Full Time
- Job Location: Bengaluru
- CTC Range: Best in Industry
Criteria:
- Strong Lead DevOps / Infrastructure Engineer Profiles.
- Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
- Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
- Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
- Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
- Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
- Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
- Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
- Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
- (Company) – Must be from B2C Product Companies only.
- (Education) – B.E/ B.Tech
Preferred
- Experience working in microservices architecture and event-driven systems.
- Exposure to cloud infrastructure, scalability, reliability, and cost optimization practices.
- (Skills) – Understanding of programming languages such as Go, Python, or Java.
- (Environment) – Experience working in high-growth startup or large-scale production environments.
Job Description
As a DevOps Engineer, 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
DockerKubernetesAmazon Web Services (AWS)DESIRED SKILLS AND EXPERIENCE
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure
Experience must include a combination of:
o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux
o Networking knowledge – Firewalls, VPNs, Load Balancers
o Web/Application servers, Nginx, JVM environments
o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.
o Familiarity with logging systems - Logstash, Elasticsearch, Kibana
o Git, Jenkins, Jira
Amazon Web Services (AWS)DockerKubernetes- 2+ years work experience in a DevOps or similar role
- Knowledge of OO programming and concepts (Java, C++, C#, Python)
- A drive towards automating repetitive tasks (e.g., scripting via Bash, Python, etc)
- Fluency in one or more scripting languages such as Python or Ruby.
- Familiarity with Microservice-based architectures
- Practical experience with Docker containerization and clustering (Kubernetes/ECS)
- In-depth, hands-on experience with Linux, networking, server, and cloud architectures.
- Experience with CI/CD tools Azure DevOps, AWS cloud formation, Lamda functions, Jenkins, and Ansible
- Experience with AWS, Azure, or another cloud PaaS provider.
- Solid understanding of configuration, deployment, management, and maintenance of large cloud-hosted systems; including auto-scaling, monitoring, performance tuning, troubleshooting, and disaster recovery
- Proficiency with source control, continuous integration, and testing pipelines
- Effective communication skills
Job Responsibilities:
- Deploy and maintain critical applications on cloud-native microservices architecture.
- Implement automation, effective monitoring, and infrastructure-as-code.
- Deploy and maintain CI/CD pipelines across multiple environments.
- Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them.
- Analyze how customers are using the platform and help drive continuous improvement.
- Support and work alongside a cross-functional engineering team on the latest technologies.
- Iterate on best practices to increase the quality & velocity of deployments.
- Sustain and improve the process of knowledge sharing throughout the engineering team
- Identification and prioritization of technical debt that risks instability or creates wasteful operational toil.
- Own daily operational goals with the team.
DockerKubernetesAmazon Web Services (AWS)knowledge of EC2, RDS and S3.
● Good command of Linux environment
● Experience with tools such as Docker, Kubernetes, Redis, NodeJS and Nginx
Server configurations and deployment, Kafka, Elasticsearch, Ansible, Terraform,
etc
● Bonus: AWS certification is a plus
● Bonus: Basic understanding of database queries for relational databases such as
MySQL.
● Bonus: Experience with CI servers such as Jenkins, Travis or similar types
● Bonus: Demonstrated programming capability in a high-level programming
language such as Python, Go, or similar
● Develop, maintain and administer tools which will automate operational activities
and improve engineering productivity
● Automate continuous delivery and on-demand capacity management solutions
● Developing configuration and infrastructure solutions for internal deployments
● Troubleshooting, diagnosing and fixing software issues
● Updating, tracking and resolving technical issues
● Suggesting architecture improvements, recommending process improvements
● Evaluate new technology options and vendor products. Ensuring critical system
security through the use of best in class security solutions
● Technical experience or in a similar role supporting large scale production
distributed systems
● Must understand overall system architecture , improve design and implement new
processes.
KubernetesExperience: 8-10yrs
Notice Period: max 15days
Must-haves*
1. Knowledge about Database/NoSQL DB hosting fundamentals (RDS multi-AZ, DynamoDB, MongoDB, and such)
2. Knowledge of different storage platforms on AWS (EBS, EFS, FSx) - mounting persistent volumes with Docker Containers
3. In-depth knowledge of Security principles on AWS (WAF, DDoS, Security Groups, NACL's, IAM groups, and SSO)
4. Knowledge on CI/CD platforms is required (Jenkins, GitHub actions, etc.) - Migration of AWS Code pipelines to GitHub actions
5. Knowledge of vast variety of AWS services (SNS, SES, SQS, Athena, Kinesis, S3, ECS, EKS, etc.) is required
6. Knowledge on Infrastructure as Code tool is required We use Cloudformation. (Terraform is a plus), ideally, we would like to migrate to Terraform from CloudFormation
7. Setting CloudWatch Alarms and SMS/Email Slack alerts.
8. Some Knowledge on configuring any kind of monitoring tool such as Prometheus, Dynatrace, etc. (We currently use Datadog, CloudWatch)
9. Experience with any CDN provider configurations (Cloudflare, Fastly, or CloudFront)
10. Experience with either Python or Go scripting language.
11. Experience with Git branching strategy
12. Containers hosting knowledge on both Windows and Linux
The below list is *Nice to Have*
1. Integration experience with Code Quality tools (SonarQube, NetSparker, etc) with CI/CD
2. Kubernetes
3. CDN's other than CloudFront (Cloudflare, Fastly, etc)
4. Collaboration with multiple teams
5. GitOps
KubernetesDockerAmazon Web Services (AWS) Implement DevOps capabilities in cloud offerings using CI/CD toolsets and automation
Defining and setting development, test, release, update, and support processes for DevOps
operation
Troubleshooting techniques and fixing the code bugs
Coordination and communication within the team and with client team
Selecting and deploying appropriate CI/CD tools
Strive for continuous improvement and build continuous integration, continuous
development, and constant deployment pipeline (CI/CD Pipeline)
Pre-requisite skills required:
Experience working on Linux based infrastructure
Experience of scripting in at-least 2 languages ( Bash + Python / Ruby )
Working knowledge of various tools, open-source technologies, and cloud services
Experience with Docker, AWS ( ec2, s3, iam, eks, route53), Ansible, Helm, Terraform
Experience with building, maintaining, and deploying Kubernetes environments and
applications
Experience with build and release automation and dependency management; implementing
CI/CD
Clear fundamentals with DNS, HTTP, HTTPS, Micro-Services, Monolith etc.
KubernetesAmazon Web Services (AWS)DockerPython2. Has done Infrastructure coding using Cloudformation/Terraform and Configuration also understands it very clearly
3. Deep understanding of the microservice design and aware of centralized Caching(Redis),centralized configuration(Consul/Zookeeper)
4. Hands-on experience of working on containers and its orchestration using Kubernetes
5. Hands-on experience of Linux and Windows Operating System
6. Worked on NoSQL Databases like Cassandra, Aerospike, Mongo or
Couchbase, Central Logging, monitoring and Caching using stacks like ELK(Elastic) on the cloud, Prometheus, etc.
7. Has good knowledge of Network Security, Security Architecture and Secured SDLC practices
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon