Graphic Designer _ Manager

About AiSensy

AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Skullcandy, Vivo, Rentomojo, 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

➕ Experience on AWS Sagemaker, AWS Bedrock

Primary Responsibilities

• Understand current state architecture, including pain points.
• Create and document future state architectural options to address specific issues or initiatives using Machine Learning.
• Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.
• Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining.
• Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them
• Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
• Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
• Make recommendations and assess proposals for optimization.
• Identify operational issues and recommend and implement strategies to resolve problems.

Must have:

• 3+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads development
• Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS CodeBuild & CodePipeline, Jenkins, AWS CloudFormation, and others
• Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.
• Strong programming skillset with high proficiency in Python, R, etc.
• Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
• Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
• Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
• Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
• Willing to flex daily work schedule to allow for time-zone differences for global team communications
• Strong interpersonal and communication skills

Our client is a Leading Indian consumer electronics start-up and is one of the fastest-growing start-ups. They have also emerged as the fifth largest wearable brand globally. They are super passionate about the impact that they are making in people’s lives and are looking for a fellow self-starter to join our ambitious bunch.

Responsibilities -

• Support analytics roadmap and strategy by ensuring that the landscape is mature, resilient, and flexible to meet the business requirements without deviating from the overall IT vision

• Collaborate with businesses to identify opportunities, and pain areas, incubate analytics product ideas and deliver analytics applications in a digital native manner

• Hold the analytics program together

• Manage the analytics vertical end to end from setting up a platform grounds (a data lake equivalent) and deliver business value through analytics for starters and gradually by bringing in intelligence in everything we do.

• Play a key role in transforming the company into an intelligent enterprise.

• Deliver analytics use cases that directly contributes to our top-line growth

• Be responsible for overall data hygiene, governance, monitoring of data pipelines and

continuously delivering business value through data

Requirements -

• 5 - 7 years experience in a similar role

• Bachelor’s degree in computer science/ analytics

• Master’s degree (business administration/equivalent) with a focus on Analytics, data science

• Good verbal and written communication skills

• Good networking skills

• Thrives in a dynamic, unstructured environment and transcends job boundaries and descriptions.

JOB DESCRIPTION:

• Experience range – 4 to 7 years

• Good understanding of software engineering practices, SDLC.
• Strong in analytical, design and problem-solving skills, with a strong desire to create new things, dive in wherever there’s a need and learn new things
• Hands-on experience in Java / J2EE application development using open-source frameworks like Spring.
• Experience in unit test frameworks like JUnit
• Need to optimize code and test programming modules
• Excellent Object-Oriented Analysis & Design skills.
• Must have experience in Software design using design patterns. Exposure to technical solutions will be an advantage
• Must have experience in relational database technologies with experience on databases such as PostgreSQL, MySQL
• Strong proficiency with Java programming - Must have experience on Micro-Services using Spring boot.
• Good to have experience in JavaScript
• Good to have previously worked on distributed systems
• Good to have a working knowledge of Redis
• Good to have exposure to stream processing and functional programming
• Strong sense of ownership and accountability.
• Excellent communication and teamwork skills

ROLES & RESPONSIBILITIES:

• Lead a team of 4- 8 engineers closely with complete authority and accountability to deliver high-quality software products in a fast-paced environment.
• Lead your team to design and develop applications based on Microservices architecture.
• Guide your team members on the latest technologies including Java, Spring, Spring-Boot, Angular, Hibernate, Redis, Hazelcast, Bootstrap, jQuery etc.
• Leverage development tools including AWS, GIT, Nginx, Jira, Confluence, Jenkins etc.
• Collaborate with other technical managers, architects, and product owners to build an integrated enterprise-class software product suite

Skills

• Java, Spring Boot – Must, Spring Data, ReactJS, DevOps, HTML5, CSS3, JavaScript ES6 & above – Good to have

The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.

Responsibilities

• Develop quality software and web applications
• Analyze and maintain existing software applications
• Design highly scalable, testable code
• Discover and fix programming bugs

Qualifications

• Bachelor's degree or equivalent experience in Computer Science or related field
• Development experience with programming languages Python, Javascript, NodeJS
• At least 2-3 years of experience in Python and React
• SQL database or relational database skills
• Strong understanding of the software development cycle
• Self-motivation and the ability to work under minimal supervision are a must
• Excellent oral and written communication skills to interact with all levels in the organization

• An outstanding communicator, you will also demonstrate excellent interpersonal and analytical skills.
• Planning, implementing and monitoring our digital marketing campaigns across all digital networks
• Optimize content for the social media platforms
• Ensure that the brand message is consistent
• Work with your team to brainstorm new and innovative growth strategies.
• Oversee and manage all contests, giveaways, and other digital projects.
• With Good Communication Skills
• Candidates from Marketing Agency can apply.
• Immediate with 15 days joinees preferred.
• An ideal candidate would be someone who handles end to end digital marketing