Inside sales executive

The candidate should have a background in development/programming with experience in at least one of the following: .NET, Java (Spring Boot), ReactJS, or AngularJS.

Primary Skills:

1. AWS or GCP Cloud
2. DevOps CI/CD pipelines (e.g., Azure DevOps, Jenkins)
3. Python/Bash/PowerShell scripting

Secondary Skills:

1. Docker or Kubernetes

Top college graduate with experience in Founder’s Office / GTM Strategy / Growth / Strategy / Operations / Revenue Ops roles, preferably in startup or high-growth environments

Mandatory (Experience 1): Must have 6+ years of experience in roles such as Founder’s Office, GTM Strategy, Growth, Strategy, Consulting, Revenue Ops, Startup leadership, VC, or Ex-Founder roles

Mandatory (Experience 2): Must have direct experience working with founders and/or senior leadership, owning high-impact initiatives with end-to-end responsibility

Mandatory (Experience 3): Must have hands-on experience building and leading GTM teams, including 2-level team management, with direct people leadership of 4–5+ members

Mandatory (Experience 4): Must have played a key role in scaling journeys such as 0→1, 1→10, or 1→100, including building processes, charters, and execution frameworks from scratch

Mandatory (Experience 5): Must demonstrate strong first-principles thinking with hands-on execution, not limited to advisory or planning-only roles

Mandatory (Graduation): Undergrduation from Top 7 IITs (Kharagpur, Mumbai, Madras, Kanpur, Delhi, Roorkee, Guwahati) or BITS Pilani – Pilani campus

Mandatory (Graduation Year): Candidates should have graduated in 2019 or before

Mandatory (Current CTC): Should be greater than 35L

Designation – Deputy Manager - TS

Job Description

1. Total of  8/9 years of development experience Data Engineering . B1/BII role
2. Minimum of 4/5 years in AWS Data Integrations and should be very good on Data modelling skills.
3. Should be very proficient in end to end AWS Data solution design, that not only includes strong data ingestion, integrations (both Data @ rest and Data in Motion) skills but also complete DevOps knowledge.
4. Should have experience in delivering at least 4 Data Warehouse or Data Lake Solutions on AWS.
5. Should be very strong experience on Glue, Lambda, Data Pipeline, Step functions, RDS, CloudFormation etc.
6. Strong Python skill .
7. Should be an expert in Cloud design principles, Performance tuning and cost modelling. AWS certifications will have an added advantage
8. Should be a team player with Excellent communication and should be able to manage his work independently with minimal or no supervision.
9. Life Science & Healthcare domain background will be a plus

Qualifications

BE/Btect/ME/MTech

Please Apply - https://zrec.in/FQVXt?source=CareerSite

About Us

Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.

Job Description

Job Title:             Associate DevOps Engineer

Department:       Technology

Location:             Gurgaon

Work Mode:         On-site

Working Hours:   10 AM - 7 PM 

Terms:                 Permanent

Experience:     6 Months - 24 Months

Education:           B.Tech/MCA/BCA

Notice Period:     Immediately

Infra360.io is searching for an Associate DevOps Engineer to lead our group of IT specialists in maintaining and improving our software infrastructure. You'll collaborate with software engineers, QA engineers, and other IT pros in deploying, automating, and managing the software infrastructure. As an Associate DevOps engineer you will also be responsible for setting up CI/CD pipelines, monitoring programs, and cloud infrastructure. 

Below is a detailed description of the roles and responsibilities, expectations for the role.

Tech Stack :

• Kubernetes: Deep understanding of Kubernetes clusters, container orchestration, and its architecture.
• Terraform: Extensive hands-on experience with Infrastructure as Code (IaC) using Terraform for managing cloud resources.
• ArgoCD: Experience in continuous deployment and using ArgoCD to maintain GitOps workflows.
• Helm: Expertise in Helm for managing Kubernetes applications.
• Cloud Platforms: Expertise in AWS, GCP or Azure will be an added advantage.
• Debugging and Troubleshooting: The Associate DevOps Engineer must be proficient in identifying and resolving complex issues in a distributed environment, ranging from networking issues to misconfigurations in infrastructure or application components.

Key Responsibilities:

• CI/CD and configuration management
• Doing RCA of production issues and providing resolution
• Setting up failover, DR, backups, logging, monitoring, and alerting
• Containerizing different applications on the Kubernetes platform
• Capacity planning of different environment's infrastructure
• Ensuring zero outages of critical services
• Database administration of SQL and NoSQL databases
• Infrastructure as a code (IaC)
• Keeping the cost of the infrastructure to the minimum
• Setting up the right set of security measures
• CI/CD and configuration management
• Doing RCA of production issues and providing resolution
• Setting up failover, DR, backups, logging, monitoring, and alerting
• Containerizing different applications on the Kubernetes platform
• Capacity planning of different environment's infrastructure
• Ensuring zero outages of critical services
• Database administration of SQL and NoSQL databases
• Infrastructure as a code (IaC)
• Keeping the cost of the infrastructure to the minimum
• Setting up the right set of security measures

Ideal Candidate Profile:

• A graduation/post-graduation degree in Computer Science and related fields
• 1-2 years of strong DevOps experience with the Linux environment.
• Strong interest in working in our tech stack
• Excellent communication skills
• Worked with minimal supervision and love to work as a self-starter
• Hands-on experience with at least one of the scripting languages - Bash, Python, Go etc
• Experience with version control systems like Git
• Strong experience of Amazon Web Services (EC2, RDS, VPC, S3, Route53, IAM etc.)
• Strong experience with managing the Production Systems day in and day out
• Experience in finding issues in different layers of architecture in production environment and fixing them
• Knowledge of SQL and NoSQL databases, ElasticSearch, Solr etc.
• Knowledge of Networking, Firewalls, load balancers, Nginx, Apache etc.
• Experience in automation tools like Ansible/SaltStack and Jenkins
• Experience in Docker/Kubernetes platform and managing OpenStack (desirable)
• Experience with Hashicorp tools i.e. Vault, Vagrant, Terraform, Consul, VirtualBox etc. (desirable)
• Experience with managing/mentoring small team of 2-3 people (desirable)
• Experience in Monitoring tools like Prometheus/Grafana/Elastic APM.
• Experience in logging tools Like ELK/Loki.

Responsibilities:

• Collaborating with data scientists and machine learning engineers to understand their requirements and design scalable, reliable, and efficient machine learning platform solutions.
• Building and maintaining the applications and infrastructure to support end-to-end machine learning workflows, including inference and continual training.
• Developing systems for the definition deployment and operation of the different phases of the machine learning and data life cycles.
• Working within Kubernetes to orchestrate and manage containers, ensuring high availability and fault tolerance of applications.
• Documenting the platform's best practices, guidelines, and standard operating procedures and contributing to knowledge sharing within the team.

Requirements:

• 3+ years of hands-on experience in developing and managing machine learning or data platforms
• Proficiency in programming languages commonly used in machine learning and data applications such as Python, Rust, Bash, Go
• Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes.
• Familiarity with CI/CD pipelines for automated model training and deployment. Basic understanding of DevOps principles and practices.
• Knowledge of data storage solutions and database technologies commonly used in machine learning and data workflows.

• To appoint Block Sales Manager in their respective Districts.
• To manage sales operations in assigned district to achieve revenue goals.
• To supervise sales team members on daily basis and provide guidance whenever needed.
• To identify skill gaps and conduct trainings to sales team.
• To work with team to implement new sales techniques to obtain profits.
• To assist in employee recruitment, promotion, retention and termination activities.
• To conduct employee performance evaluation and provide feedback for improvements.