Senior Automation Engineer

Job Title: Principal Backend Engineer

Experience: 7+ Years

Location: Panchkula (Onsite)

📍 Office will move to IT Park, Chandigarh from February

Work Mode: Onsite | 5 Days a Week

About the Role

We are looking for a Principal Backend Engineer to architect, scale, and lead the development of robust backend systems. This is a hands-on leadership role where you’ll drive technical decisions, mentor engineers, collaborate closely with clients and product teams, and help modernize platforms using scalable architectures and emerging technologies, including AI/ML where relevant.

Tech Stack

• Backend: PHP (Laravel / CodeIgniter), Node.js
• Databases: MySQL, MongoDB
• Architecture: Microservices / Modular Monolith
• Cloud (Good to Have): AWS / GCP

Key Responsibilities

Backend Architecture & Development

• Own and evolve backend architecture across PHP and Node.js services
• Design and review scalable, maintainable systems (microservices or modular monoliths)
• Manage and optimize integrations across MySQL and MongoDB (data modeling, indexing, performance tuning)

Technical Leadership

• Lead system design discussions, architecture reviews, and code quality initiatives
• Establish backend development standards, best practices, and documentation
• Mentor mid and senior engineers on design patterns, testing strategies, and CI/CD pipelines
• Drive decisions around refactoring legacy systems and platform modernization

Client & Stakeholder Communication

• Act as the technical SPOC for backend architecture and integrations
• Translate business and product requirements into technical solutions
• Explain trade-offs, constraints, and backend workflows to non-technical stakeholders
• Present PoCs and technical approaches confidently to clients

AI & ML Integration (Strategic / Optional)

• Identify backend use cases for AI such as personalization, recommendations, fraud detection, or data enrichment
• Design backend APIs, services, or cron jobs that interact with AI/ML models
• Collaborate with data teams and stay updated on AI tools/APIs (e.g., OpenAI, LangChain)

Scalability, Security & Performance

• Ensure API security, role-based access control, and rate limiting
• Optimize system performance using caching, queues, and query optimization
• Plan and support horizontal/vertical scaling on cloud infrastructure

What We’re Looking For

• 8+ years of backend development experience in PHP and/or Node.js
• Strong expertise in database design (MySQL & MongoDB)
• Proven experience leading architecture decisions and mentoring engineers
• Ability to clearly communicate technical concepts to clients and stakeholders
• Proactive mindset toward scalability, performance, and system resilience
• Bonus: Experience or curiosity around AI APIs and real-world AI integration

Why Join uEngage?

• Work on high-impact systems used by thousands of users
• Collaborate with product, design, data, and client teams
• High ownership and freedom to architect and innovate
• Competitive compensation and a collaborative work culture

·         Maintained a high profile in the professional and business communities.

·         Skilled in cold calling, consultative selling and partnering with others.

·         Preparing analysis reports for clients.

·         Working on Email campaign.

·         Coordinate efforts to improve the customer experience at the point of sale.

·         Manage product sales growth and individual sales effectiveness by reviewing sales activity schedule.

·         Maintain strong relationships with key contacts in existing clients and develop new clients.

·         Liaise between the technical team and clients, as well as senior management and stakeholders.

·         Managing a team &Motivating team members to achieve sales target.

·         Negotiating contracts and making partnership with clients.

·         Working on campaign management and lead nurturing.

·         Develop incentive and marketing programs for customers

·         Oversee high volume pipeline management 

• Infrastructure support and escalation management
• Effective management of infrastructure
• Proactive maintenance of Infrastructure at branches and HO
• Timely closure of tickets with in SLA

• Maintaining 100% uptime of Network.
• Proactive monitoring maintenance of network and Internet bandwidth

• Maintaining the working condition of the IT assets.
• Preparing the IT assets for the new joinees in a timely and effective manner.

• On-time execution of assigned projects;
• Proper utilization of the existing and newly added infra tools and assets. i.e EPM, Antivirus, etc.

• Ensure the regular Security measures are taken on the infrastructure.
• Ensure the process adherence as per IT Policies

• 3 + years of overall experience in IT Infrastructure domain.
• Degree in Computer Sciences / IT or equivalent

• Keen interest in experimenting with new Technology/gadgets/systems
• Should take the responsibility for Infrastructure needs and fulfill the same
• Should be a great team player and a good manager
• A great multitasker who should be able to work in a demanding environment
• Should be well connected with the vendor community
• Strong written and oral communication and interpersonal skills
• Must have a go-getter attitude.
• High social responsibility & Integrity
• Compliance twitho policies, rules, and regulations
• Belief in Teamwork & Effective leadership

• Good Knowledge on the end point infra support and server support
• Good Knowledge on IT security
• Linux, Windows OS knowledge
• Good knowledge on Networking and network security

• Escalation handling
• Vendor management
• Good Decision making skill

Position Title: Lead Software Engineer

Level: Mid - Senior L5

Years: 6-8 Yrs

Job Location: Delhi/NCR (Hybrid)

Position: 1

About Omni.US

Omni is the ultimate B2B outreach platform backed by the decade-long expertise of co-founders in cold outreach and scaling SaaS companies. We've obsessively focused on cold outreach and built a powerful tool perfect for Enterprise and SMB companies to get clients.  Our team has deep experience building and scaling B2B SaaS companies to millions in ARR. We understand what it takes to create a successful product, so we're excited about Omni.  

Meet your Team Members

Alex Berman, Co-Founder

Navjyotsingh Rajput, Co-Founder

Madhuri Pandit, Product Owner

About the Role

As a Lead Engineer, you will need to produce and implement functional software solutions. You will work with a senior engineer to define software requirements and take the lead on operational and technical projects. In this role, you should be able to work with minimal supervision.  Your goal will be to develop high-quality software that is aligned with customer needs and business goals.

Responsibilities

• You will need to ensure that software deliverables comply with quality standards and are completed on time.
• Experience or proactive working in mission-critical 24*7 systems.
• Review the performance of the operating system used in the Company and upgrade it as and when required. 
• Conducts peer code reviews and design reviews. 
• Should have knowledge and experience working with SAAS-based applications in early or mid-stage startups. 
• Undertaking engineering tasks that are complex in nature and also working on big modules and defining the architectural layouts, both on the Application, API, and Database levels. 
• Demonstrates broad and deep expertise in multiple computer languages and frameworks (e.g., open-source).
• Designs, Develop and approve end-to-end functionality of a product line, platform, or infrastructure.
• 3+ Years of experience as Technical Lead. 
• 6+ years of software development experience with at least one full-cycle implementation.
• Strong exposure working on projects related to MERN stack. Maintains deep technical knowledge within areas of expertise
• Experience in building highly scalable distributed systems

Desired Experience

Technical Skills: 

• Programming and working with mobile or website systems & security principles. 
• Strong experience in Tech Stack - MERN (Node.JS, Express, React.JS, Mongodb) with GraphQl as preferred API. 
• Experience working in Product lifecycle management from requirement gatherings to user experience. 
• Strong experience in JS libraries. 
• Must have delivered at least 1 product (which should be available in the public domain for reference)

Soft Skills: 

• Creating end goals for their team.
• Experience in a delegation of responsibilities. 
• Can multitask and Should have experience managing/working with a team of 5- 10 resources.
• Offering support and guidance to the team when needed, able to provide clear instructions and set expectations.
• Prior experience working with Startups and Senior developers or Tech leads. 

Interview Process

• 1st Round - Technical 
• 2nd Round - Product Manager 
• 3rd Round - Manager 
• 3rd Round - HR Manager

Qualifications

• BE/BTech/MCA/ME/MTech-E&C/IT/CS or equivalent experience.

About RARA NOW :

• RaRa Now is revolutionizing instant delivery for e-commerce in Indonesia through data-driven logistics.

• RaRa Now is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimization technology. RaRa makes it possible for anyone, anywhere to get same-day delivery in Indonesia. While others are focusing on - one-to-one- deliveries, the company has developed proprietary, real-time batching tech to do - many-to-many- deliveries within a few hours. RaRa is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan, and many more.

• We are a distributed team with the company headquartered in Singapore, core operations in Indonesia, and a technology team based out of India.

Future of eCommerce Logistics :

• Data driven logistics company that is bringing in same-day delivery revolution in Indonesia

• Revolutionizing delivery as an experience

• Empowering D2C Sellers with logistics as the core technology

About the Role :

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Prior experience on working on Big Query, Redshift or other data warehouses

• Solid background and proven experience in the tech stacks
• Strong proficiency in JavaScript
• Proficiency in HTML, CSS, JavaScript and jQuery
• Familiar with JavaScript frameworks such as jQuery, ReactJS
• Understanding and Work experience in ES6, Redux, Regex, MaterialUI and MUIdatatables is a plus
• Should be familiar with REST API’s
• Excellent communication and team handling skills
• Great attention to detail and problem-solving skills

Required Skills

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