SAP BRIM SOM

DevOps Engineer

AiSensy  

Gurugram, Haryana, India (On-site)

About AiSensy

AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco., Wipro, Asian Paints, India Today Group Skullcandy, Vivo, Physicswallah, Cosco grow their revenues via WhatsApp.

• Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing
• 400Crores + WhatsApp Messages done between Businesses and Users via AiSensy per year
• Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more
• High Impact as Businesses drive 25-80% Revenues using AiSensy Platform
• Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors

Now, we’re looking for a DevOps Engineer to help scale our infrastructure and optimize performance for millions of users. 🚀

What You’ll Do (Key Responsibilities)

🔹 CI/CD & Automation:

• Implement, manage, and optimize CI/CD pipelines using AWS CodePipeline, GitHub Actions, or Jenkins.
• Automate deployment processes to improve efficiency and reduce downtime.

🔹 Infrastructure Management:

• Use Terraform, Ansible, Chef, Puppet, or Pulumi to manage infrastructure as code.
• Deploy and maintain Dockerized applications on Kubernetes clusters for scalability.

🔹 Cloud & Security:

• Work extensively with AWS (Preferred) or other cloud platforms to build and maintain cloud infrastructure.
• Optimize cloud costs and ensure security best practices are in place.

🔹 Monitoring & Troubleshooting:

• Set up and manage monitoring tools like CloudWatch, Prometheus, Datadog, New Relic, or Grafana to track system performance and uptime.
• Proactively identify and resolve infrastructure-related issues.

🔹 Scripting & Automation:

• Use Python or Bash scripting to automate repetitive DevOps tasks.
• Build internal tools for system health monitoring, logging, and debugging.

What We’re Looking For (Must-Have Skills)

✅ Version Control: Proficiency in Git (GitLab / GitHub / Bitbucket)

✅ CI/CD Tools: Hands-on experience with AWS CodePipeline, GitHub Actions, or Jenkins

✅ Infrastructure as Code: Strong knowledge of Terraform, Ansible, Chef, or Pulumi

✅ Containerization & Orchestration: Experience with Docker & Kubernetes

✅ Cloud Expertise: Hands-on experience with AWS (Preferred) or other cloud providers

✅ Monitoring & Alerting: Familiarity with CloudWatch, Prometheus, Datadog, or Grafana

✅ Scripting Knowledge: Python or Bash for automation

Bonus Skills (Good to Have, Not Mandatory)

➕ AWS Certifications: Solutions Architect, DevOps Engineer, Security, Networking

➕ Experience with Microsoft/Linux/F5 Technologies

➕ Hands-on knowledge of Database servers

Your Role

• Should have worked on end to end talent management - hire to retire model Should be able to take us through the employee lifecycle process
•  Should be good at interacting with people and should have done the following: Conduct review and appraisal cycle across teams
•  Look after employees' growth
•  who is ready for promotion, who needs to do something different within the organization, who are the high potentials 
• How to measure performance
•  Benchmarking compensation across companies
•  Attrition planning
•  Succession planning
•  Driving Learning & Development across company
•  Ensuring cultural homogeneity
•  Employee engagement 
• Performance Management and its process
• Compensation benchmarking

Onboarding & Induction - Should have done the following:

•  Plan and execute staff welfare programs.
•  Provide a presentation to new joiners about HR policies of the company.
•  Discuss about future planning and expansion of company with employees
•  Organize health awareness programs for employees. 
• Take care of maintaining a good relationship between employee and employer.

Employee Grievance Handling: Should have been involved in the below: 

• Prepare and maintain employee retention policy. 
• Handle and resolve grievances of employees. 
• Resolve problems between employee and employer regarding different issues eg: compensation, processes, policies, etc. Share instances of any difficult issue resolved.

HR Compliances & Organizational Development 

Should have worked closely with other HR stakeholders for the following.

•  Coordinate with HR Ops for registering new employees in EPF, ESI and medical benefits. 
• Check and clear expense reports of employees with HR Ops 
• Responsible for joining and exit interviews. 
• Implementation of new policies according to the system. 
• Alignment of staffing philosophy, strategies, and values with business goals. Maintain a record of all employees data- joiners, leavers Work with auditors for all HR Audit purposes.

Must Haves

• 3-5 Years of experience in HRBP Functions in a Startup company.
• Developing HR strategies, policies, and practices.
• Excellent communication skills.
• Being Data Oriented is a must.
• Analytical skills.
• Problem-solving skills.
• Proactive nature.
• Excellent interpersonal skills.
• Meticulous attention to details.
• Highly organized.
• Great people skills.

Why is this exciting to you?

•  You are interested in being a part of a young and fast paced environment; to implement market best practice.
•  You are keen to put in place strong processes, and systems, and this is a chance to work in a company which is not burdened by legacy systems.
•  You realize that you are joining the team at an early stage, and can play a pivotal growth role as the company grows; you are excited to be early at the table.
•  You care about people and your team members, and you want to influence positive change.

Job Description

• Responsible for growth in organic traffic & lead generation by designing & implementing strategies for SEO & digital marketing growth.
• Experince in B2B is must.
• Craft content strategies that guide the content team based on keyword research.
• Deliver new keyword clusters, keywords, and topic clusters for new content generation and old content revamp.
• Lead content marketing outreach & high-quality link building campaigns and initiate communication with prospective websites & influencers
• Analyze the performance of SEO campaigns, and assess against goals (ROI & KPI)
• Collaborate with internal teams to create landing pages and optimize the user experience
• Identify SEO issues with a continuous audit process and ensure that those issues are reported to concerned teams on time.
• Work closely with the content team to ensure the generation of SEO-friendly content
• Manage all types of search engine tools like XML sitemaps, webmaster tools for analytics, and diagnostics reporting
• Experience with or willingness to learn additional marketing channels such as PPC, email marketing, affiliate, etc is a plus as we are expanding our marketing channels.

Requirements

• Excellent communication skills (both written and verbal)
• Proven working experience in SEO.
• Strong technical SEO knowledge based on Search Console & other industry tools.
• Sound knowledge of concepts like crawl budget, cannibalization, content pruning, etc.
• Sound knowledge of SEO best practices and the latest trends.
• Solid knowledge of website analytics tools (e.g., Google Analytics)
• Strong analytical skills and data-driven thinking
• Experience in doing SEO for SaaS/large publications is a plus.

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

 Excellent verbal/written communication in English.

·         Must be able to communicate with users of different levels from a developer to an IT executive.

·         Capable of articulating/writing technical documentation that helps all system users understand and use the product.

·         The candidate must be well versed in creating online help, end-user or technical manuals/guides, business communications, release mailers.

·         The candidate must be capable of articulating processes and products in all possible formats like print, video guides, online self-help guides, and other electronic means.

·         In addition to research, copywriting, language, writing, and revision skills, the candidate must also possess following attributes:

• Business analysis, Illustration/graphic design using power point presentation, Indexing of all help content, Training, E-learning, User interfaces, Video editing, Website content management

·         A technical writer must be able to elicit information from SMEs and conducts the research necessary to write and compile technically accurate content independently.

·         The candidate must be able to prioritize their tasks with project leader and able to multi task for different projects within the program.