



- Being involved across all aspects of the product codebase (Current and future)
- Building, leading, developing and providing hands-on leadership for Developers
- Creating clear career paths for team members to help them grow with regular and deep mentoring, attracting and retaining top talent keeping long term goals in mind
- Driving strategy and vision across teams in a rapidly evolving environment
- Providing thought partnership to the product team and ensuring collaboration among product, engineering, and business operation teams
- Driving agility in execution, creating a strong team culture of responsiveness by leading by example and owning decision making around prioritization for better predictability
- Maintaining strong partnership with product and business teams to demonstrate effective collaboration and communication across multiple stakeholders
What you need to have:
- Btech/ Mtech from Premium Institute
- Strong Logical and Analytical skills.
- Extensive experience in LAMP and/ or MERN/ MEAN Stack.
- JavaScript Framework/ Library experience a bonus.
- Extensive experience in and understanding of OOPS & MVC concepts.
- Strong back-end background; Experienced in Restful APIs, DB Mgt & SQL.
- Consumer Tech Orientation.
- Excited at the problem being solved.
- Individual contributor; As well as ability to work in and eventually lead a team.

Similar jobs
Job Title: Linux System Engineer - Client Site Deployment
Company: TechMonarch Infocom LLP
Location: Ahmedabad, Gujarat
Experience: 2+ Years
Job Summary:
TechMonarch, a leading IT Managed Services provider, is seeking a skilled and customer-focused Linux System Engineer to join our dynamic team. This role is crucial for providing on-site technical support and expertise to our valued clients. The ideal candidate will possess a strong foundation in Linux system administration, hardware, networking, cloud infrastructure, and basic firewall management. Furthermore, excellent professional conduct and communication skills are paramount, as this individual will represent our company directly at client locations.
Responsibilities:
• Provide on-site technical support and troubleshooting for client Linux-based systems and infrastructure.
• Install, configure, and maintain Linux servers (e.g., CentOS, Ubuntu, Red Hat Enterprise Linux).
• Perform system monitoring, performance tuning, and capacity planning.
• Troubleshoot hardware issues related to servers and related peripherals.
• Assist with basic network configuration and troubleshooting (TCP/IP, DNS, DHCP).
• Interact with cloud infrastructure platforms (e.g., AWS, Azure, GCP) for deployment, management, and troubleshooting.
• Implement and maintain basic firewall rules and configurations.
• Perform regular system backups and recovery procedures.
• Document technical issues, solutions, and configurations clearly and accurately.
• Collaborate effectively with internal teams and client IT personnel.
• Maintain a professional demeaner, appearance, and communication style at client site.
• Adhere to client-specific security policies and procedures.
• Proactively identify potential issues and recommend solutions.
• Stay up-to-date with the latest technologies and industry best practices.
Required Skills and Experience:
• Minimum of 2 years of hands-on experience as a Linux System Administrator/Engineer.
• Proven ability to install, configure, and manage various Linux distributions (e.g., CentOS, Ubuntu, RHEL).
• Solid understanding of server hardware components and troubleshooting.
• Basic knowledge of networking concepts (TCP/IP, DNS, DHCP, subnetting) and troubleshooting tools.
• Familiarity with cloud infrastructure platforms (AWS, Azure, GCP) and their core services.
• Basic understanding of firewall concepts and the ability to manage basic firewall rules.
• Experience with scripting languages (e.g., Bash, Python) for automation is a plus.
• Strong problem-solving and analytical skills.
• Excellent communication (verbal and written) and interpersonal skills.
• Ability to work independently and as part of a team.
• Strong organizational and time management skills.
• Must possess a professional and customer-oriented attitude.
• Willingness to travel frequently to client sites within the Ahmedabad region.
Desired Skills (Good to Have):
• Experience with monitoring tools (e.g., Nagios, Zabbix, Prometheus).
• Familiarity with security best practices for Linux systems.
• Relevant certifications (e.g., Linux+, LPIC, AWS/Azure/GCP certifications).
Personal Attributes:
• Professional and presentable demeaner.
• Excellent communication and interpersonal skills.
• Strong work ethic and a proactive approach.
• Ability to build rapport and maintain positive relationships with clients.
• Adaptability and flexibility to work in different client environments.
• Problem-solving mindset with a focus on finding effective solutions.
• Reliable and punctual.
Education:
• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent practical experience).
Vasu GalaJob Title: Linux System Engineer - Client Site Deployment Company: TechMonarch Infocom LLP Location: Ahmedabad, Gujarat Experience: 2+ Years Job Summary: TechMonarch, a leading IT Managed Services provider, is seeking a skilled and customer-focused Linux System Engineer



Hello,
Greetings for the day !!!
Tridat Technologies is hiring " Technical Architect" for one of the international MNC specialized into Hardware & Networking based @ Bangalore !!!
Position: Technical Architect
General Summary:
- The Technical Architect is responsible for the overall architecture, design, implementation, and integrity of the organization’s applications consumed by TSPs. The architect is responsible for ensuring that the solution delivered to business units is engineered in accordance with organization’s architecture tenets and infrastructure standards.
- This position is for the Business Management Software division that enables the MSPs to streamline, manage their operations, and achieve operational maturity with the following products and many more.
Our Global Engineering team works in the following Tech Environments:
Languages: .NET, python, golang, java, javascript, typescript
Frameworks: .NET core, spring, react, mui
Cloud Platform: AWS, Azure
Runtime: Docker, kubernetes, ecs, eks, ec2
Databases: Postgres, SQL Server, Cassandra, MongoDB, DynamoDB, Document DB, Snowflake, ElasticSearch
IDEs: VS Code, IntelliJ, Visual Studio
Others: Kafka, EMR, S3, SQS, Trino, Sage maker
Essential Duties & Responsibilities:
- Hands-on development experience using current software patterns including web services, web APIs, message queues, service-oriented & microservices architecture.
- Candidates should have designed products on AWS or any other public cloud.
- Should have an understanding of the Infrastructure, involved in hosting on AWS, pricing, and load balancer.
- Have expertise in one or more areas like building and scaling web apps, Machine Learning, UI Engineering, Information Visualization, CRM solutions
- The candidate must have demonstrated the capability of Architecting a scalable SAAS-based platform.
- Should have experience in enterprise applications in the cloud or on-premise environments, and multi-tenancy applications.
- Candidate must have Continuous integration experience, and conceptual knowledge on continuous delivery.
- Should have experience in any NoSQL database (Cassandra/MongoDB is preferred).
- As an architect, the person would be responsible for the suggestion and implementation of new technologies.
- Has delivered multiple versions of a SaaS-based product to production.
- Has made design decisions for a product & lived with the consequences of decisions. Has successfully introduced new technology.
What is the interview process?
- Your application will be screened within 30 days.
- All Engineering positions will go through 3 rounds of technical interviews.
- Each round will be approximately 1 hr which is then followed by a managerial round and an HR Round.
- Please note all rounds will be done subject to feedback provided in the earlier round.
- There will be a face-to-face interview at the Bangalore office during the final 2 rounds.
What can you expect in the Technical Interview?
- Questions that show you have a problem-solving ability
- We would love to see you code and how you solve technical problem(s).
- Questions about modules you have used to date while developing applications.
- Agility and Adaptability to technology and environment
- The architect will be expected to be hands-on with the Amazon Cloud Platform on products integrating with Microsoft 365, Azure, and third-party vendors in addition to enhanced reporting using data mashups to improve MSP (Managed Service Provider) Operational Maturity model.
EXPERTISE AND QUALIFICATIONS
Knowledge, Skills, and/or Abilities Required:
- Hands-on architect in multiple programming languages and willing to work on new tech stacks.
- Ability to work constructively and independently under stress and pressure in a fast-paced, multi-tasking environment. ·
- Ability to interact positively and openly with colleagues and external business contacts, with strong verbal and written communication skills
- Maintains a deep understanding of programming and coding fundamentals, architecture, and design in multiple languages.
- Drives technology transformation initiatives, working with cross-functional teams to identify and implement new technologies, frameworks, and tools that can improve the team's productivity and efficiency.
- Ensures that the team follows software development best practices, including coding standards, code reviews, automated testing, and continuous integration and deployment.
- Recommends new tools, processes, and practices that can improve the team's productivity and efficiency.
- Leads the technical design and architecture of software products, ensuring that they are scalable, maintainable, and meet the needs of the business.
- Presents technology transformation plans and progress reports in a clear and concise manner to leadership cross-functionally.
- A strong proponent of engineering best practices for Unit Testing, Coverage, Code Quality, Continuous Integration & Continuous Deployment.
- Candidate must have demonstrated capability to optimize usage of AWS/Cloud resources
- Strong ability and desire to coach engineers to adopt industry best practices and design strategies
- Experience in Agile Scrum processes, including a solid understanding of how to deliver an MVP and build on it.
Educational/Vocational/Previous Experience Recommendations:
- BE/BTECH(CS/ECE) / Post Graduation · 10+ years of relevant experience
- Deep Experience leading technology transformation initiatives, including the adoption of new technologies, frameworks, and tools
- Domain experience in one or more areas Fintech, Accounting, ITSM, and Data Visualization.
- Stays up to date with emerging technologies and software development
Working Conditions: Hybrid
Employment Mode: Permanent
Working Days: Mon to Fri
Location: Bangalore
Thank You & Regards,
Shraddha Kamble
HR Recruiter


XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Company Background
Zimyo HRMS (A product of Zimyo | www.zimyo.com), is one of the fastest-growing employee experience platforms in the world serving over 1000+ organizations and empowering over 200,000+ employees through our SaaS-based HRMS and Benefits Platform. We help organizations streamline their entire HR and Payroll processes, with a particular focus on helping their employees with financial solutions like salary advances, personal loans, health insurance, etc.
We are a team of Product Management and FinTech honchos & alumni of distinguished institutions (IIT/IIM/ICAI) and we are building something at the cutting edge of HR & FinTech Universe (Embedded Finance is the word)! We have most recently raised Series A funding from IndiaMart and BeeNext and looking to expand our team.
We are building something that is unique, real, and Impactful. If you carry a similar passion, we'd love to hear from you!
Job Description
We are looking to hire Senior QA Automation Engineers with the below expertise:
- Minimum 3+ years of total QA experience and out of that 1+ years should be on Automation.
- Should have a working knowledge of SQL and UNIX Good test analysis and defect reporting skills.
- API Testing experience.
- Should be capable in Integration, Regression, Compatibility, and Performance Testing.
- Database Testing experience.
- Manual and Automation Testing experience.
- Language: Java and/or Node.js.
What is in it for you:
- Opportunity to learn, grow and be a role model for young team members
- One of the best ESOP programs
- Group health insurance and other financial benefits
- Meritocratic culture with the promise of rapid career progression.
- Experience of a growing company with a focus on the personal growth of all team members
- Opportunity to work with the Founders
- 5 days working (Mon-Fri)

- Designing user interactions on web pages.
- Developing back end website applications.
- Creating servers and databases for functionality.
- Ensuring cross-platform optimization for mobile phones.
- Ensuring responsiveness of applications.
- Working alongside graphic designers for web design features.
- Seeing through a project from conception to finished product.
- Designing and developing APIs.
- Meeting both technical and consumer needs.
- Staying abreast of developments in web applications and programming languages.




