Amazon Web Services (AWS)
PythonGeneral Description:
Owns all technical aspects of software development for assigned applications.
Participates in the design and development of systems & application programs.
Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation.
Required Skills:
In depth experience configuring and administering EKS clusters in AWS.
In depth experience in configuring **DataDog** in AWS environments especially in **EKS**
In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**
In depth knowledge of observability concepts and strong troubleshooting experience.
Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.
Experience in **Terraform** and Infrastructure as code.
Experience in **Helm**
Strong scripting skills in Shell and/or python.
Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.
Must have a good understanding of cloud concepts (Storage /compute/network).
Experience in Collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.
Experience with Git and GitHub.
Proficient in developing and maintaining technical documentation, ADRs, and runbooks.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)
Docker
Kubernetes
JenkinsAbout 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
DockerKubernetesAmazon Web Services (AWS)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
KubernetesType, Location
Full Time @ Anywhere in India
Desired Experience
2+ years
Job Description
What You’ll Do
● Deploy, automate and maintain web-scale infrastructure with leading public cloud vendors such as Amazon Web Services, Digital Ocean & Google Cloud Platform.
● Take charge of DevOps activities for CI/CD with the latest tech stacks.
● Acquire industry-recognized, professional cloud certifications (AWS/Google) in the capacity of developer or architect Devise multi-region technical solutions.
● Implementing the DevOps philosophy and strategy across different domains in organisation.
● Build automation at various levels, including code deployment to streamline release process
● Will be responsible for architecture of cloud services
● 24*7 monitoring of the infrastructure
● Use programming/scripting in your day-to-day work
● Have shell experience - for example Powershell on Windows, or BASH on *nix
● Use a Version Control System, preferably git
● Hands on at least one CLI/SDK/API of at least one public cloud ( GCP, AWS, DO)
● Scalability, HA and troubleshooting of web-scale applications.
● Infrastructure-As-Code tools like Terraform, CloudFormation
● CI/CD systems such as Jenkins, CircleCI
● Container technologies such as Docker, Kubernetes, OpenShift
● Monitoring and alerting systems: e.g. NewRelic, AWS CloudWatch, Google StackDriver, Graphite, Nagios/ICINGA
What you bring to the table
● Hands on experience in Cloud compute services, Cloud Function, Networking, Load balancing, Autoscaling.
● Hands on with GCP/AWS Compute & Networking services i.e. Compute Engine, App Engine, Kubernetes Engine, Cloud Function, Networking (VPC, Firewall, Load Balancer), Cloud SQL, Datastore.
● DBs: Postgresql, MySQL, Elastic Search, Redis, kafka, MongoDB or other NoSQL systems
● Configuration management tools such as Ansible/Chef/Puppet
Bonus if you have…
● Basic understanding of Networking(routing, switching, dns) and Storage
● Basic understanding of Protocol such as UDP/TCP
● Basic understanding of Cloud computing
● Basic understanding of Cloud computing models like SaaS, PaaS
● Basic understanding of git or any other source code repo
● Basic understanding of Databases(sql/no sql)
● Great problem solving skills
● Good in communication
● Adaptive to learning
DockerKubernetesAmazon Web Services (AWS)We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The candidate will be responsible for automating the deployment of cloud infrastructure and services to support application development and hosting (architecting, engineering, deploying, and operationally managing the underlying logical and physical cloud computing infrastructure).
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless, microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
●Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team ● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, Networking
● Collaborate with Product Management and Product Engineering teams to drive excellence in Google Cloud products and features.
● Ensures efficient data storage and processing functions by company security policies and best practices in cloud security.
● Ensuring scaled database setup/monitoring with near zero downtime
DockerKubernetesRequirements
DockerKubernetesAmazon Web Services (AWS)Skills required:
Strong knowledge and experience of cloud infrastructure (AWS, Azure or GCP), systems, network design, and cloud migration projects.
Strong knowledge and understanding of CI/CD processes tools (Jenkins/Azure DevOps) is a must.
Strong knowledge and understanding of Docker & Kubernetes is a must.
Strong knowledge of Python, along with one more language (Shell, Groovy, or Java).
Strong prior experience using automation tools like Ansible, Terraform.
Architect systems, infrastructure & platforms using Cloud Services.
Strong communication skills. Should have demonstrated the ability to collaborate across teams and organizations.
Benefits of working with OpsTree Solutions:
Opportunity to work on the latest cutting edge tools/technologies in DevOps
Knowledge focused work culture
Collaboration with very enthusiastic DevOps experts
High growth trajectory
Opportunity to work with big shots in the IT industry
Amazon Web Services (AWS)KubernetesDockerGoodera is looking for an experienced and motivated DevOps professional to be an integral part of its core infrastructure team. As a DevOps Engineer, you must be able to troubleshoot production issues, design, implement, and deploy monitoring tools, collaborate with team members to improve the existing and develop new engineering tools, optimize company's computing architecture, design and conduct security, performance, availability and availability tests.
Responsibilities:
This is a highly accountable role and the candidate must meet the following professional expectations:
• Owning and improving the scalability and reliability of our products.
• Working directly with product engineering and infrastructure teams.
• Designing and developing various monitoring system tools.
• Accountable for developing deployment strategies and build configuration management.
• Deploying and updating system and application software.
• Ensure regular, effective communication with team members and cross-functional resources.
• Maintaining a positive and supportive work culture.
• First point of contact for handling customer (may be internal stakeholders) issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
• Develop tooling and processes to drive and improve customer experience, create playbooks.
• Eliminate manual tasks via configuration management.
• Intelligently migrate services from one AWS region to other AWS regions.
• Create, implement and maintain security policies to ensure ISO/ GDPR / SOC / PCI compliance.
• Verify infrastructure Automation meets compliance goals and is current with disaster recovery plan.
• Evangelize configuration management and automation to other product developers.
• Keep himself updated with upcoming technologies to maintain the state of the art infrastructure.
Required Candidate profile :
• 3+ years of proven experience working in a DevOps environment.
• 3+ years of proven experience working in AWS Cloud environments.
• Solid understanding of networking and security best practices.
• Experience with infrastructure-as-code frameworks such as Ansible, Terraform, Chef, Puppet, CFEngine, etc.
• Experience in scripting or programming languages (Bash, Python, PHP, Node.js, Perl, etc.)
• Experience designing and building web application environments on AWS, including services such as ECS, ECR, Foregate, Lambda, SNS / SQS, CloudFront, Code Build, Code pipeline, Configuring CloudWatch, WAF, Active Directories, Kubernetes (EKS), EC2, S3, ELB, RDS, Redshift etc.
• Hands on Experience in Docker is a big plus.
• Experience working in an Agile, fast paced, DevOps environment.
• Strong Knowledge in DB such as MongoDB / MySQL / DynamoDB / Redis / Cassandra.
• Experience with Open Source and tools such as Haproxy, Apache, Nginx and Nagios etc.
• Fluency with version control systems with a preference for Git *
• Strong Linux-based infrastructures, Linux administration
• Experience with installing and configuring application servers such as WebLogic, JBoss and Tomcat.
• Hands-on in logging, monitoring and alerting tools like ELK, Grafana, Metabase, Monit, Zbbix etc.
• A team player capable of high performance, flexibility in a dynamic working environment and the ability to lead.
d ability to rain others on technical and procedural topics.
Machine Learning (ML)KubernetesPythonDevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery
Amazon Web Services (AWS)
Python
Ruby
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon