Presales Business Analyst

Key Responsibilities

• Manage daily accounting operations in Tally ERP
• Handle Accounts Payable: invoice verification, vendor payments & reconciliation
• Prepare and file GST returns, maintain GST records & ensure compliance
• Calculate, deduct & file TDS returns
• Maintain ledgers, books of accounts & financial records
• Coordinate with vendors for billing, statements, and payment follow-ups
• Assist in monthly, quarterly & yearly closing activities
• Support internal & external audits with proper documentation
• Prepare MIS and financial reports as needed

🎯 Requirements

• 1–3 years of experience in accounting
• Strong knowledge of Tally ERP, GST, TDS, Accounts Payable
• Good understanding of accounting principles and compliance
• Proficiency in MS Excel
• Detail-oriented with good communication & organizational skills

We are looking for a highly skilled Senior .NET Developer / Team Lead to drive backend development, mentor engineering teams, and deliver scalable enterprise-grade applications. The ideal candidate should have strong expertise in .NET Core, microservices, REST APIs, and cloud-native application development, along with hands-on team leadership experience.

Key Responsibilities

Mentor and guide a team of .NET developers while ensuring high coding standards and best practices.

Drive architectural discussions, design reviews, and code reviews.

Develop scalable and high-performance backend services using .NET Core / ASP.NET Core.

Design and implement RESTful APIs and microservices-based solutions.

Ensure application security, performance optimization, and clean architecture principles.

Collaborate with Product Owners, QA, DevOps, and UI/UX teams for successful project execution.

Convert business requirements into technical specifications and development tasks.

Participate in sprint planning, retrospectives, and Agile ceremonies.

Troubleshoot and resolve complex technical issues across the application stack.

Manage timelines, deliverables, risks, and dependencies effectively.

Promote continuous improvement, innovation, and engineering excellence within the team.

Required Skills & Experience

5–7 years of software development experience with 1–2 years in a Team Lead role.

Strong expertise in:

.NET Core / ASP.NET Core

Entity Framework Core

REST API Development

Microservices Architecture

Experience with:

SQL Server / PostgreSQL

CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)

Cloud Platforms (Azure / AWS)

Docker & Kubernetes

Strong understanding of:

SOLID Principles

Design Patterns

Clean Architecture

Excellent problem-solving, analytical, communication, and leadership skills.

Educational Qualification

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or related field.

Equivalent practical experience will also be considered.

Preferred Candidate Profile

Experience working in Agile/Scrum environments.

Ability to manage teams and drive technical decision-making.

Passion for scalable system design and backend optimization.

Job Overview

We are seeking a proactive and analytical Salesforce Administrator to own our Salesforce CRM and ensure it works seamlessly with our financial systems. The ideal candidate will manage day-to-day configuration, maintain high-quality data, automate accounting-related workflows (like quote-to-cash), and act as a bridge between the Sales and Finance departments. 

Key Responsibilities

• Salesforce Administration & Accounting Integration:
• Oversee daily operations of the Salesforce org, including managing users, profiles, roles, and security.
• Maintain and optimize integrations between Salesforce and accounting software (e.g., QuickBooks, NetSuite, Certinia) to ensure seamless data flow.
• Automate the quote-to-cash process, from opportunity closing to invoice generation.
• Data Integrity & Reporting:
• Ensure data accuracy between Sales and Finance, performing regular data audits to detect and resolve discrepancies.
• Create advanced custom reports and dashboards for financial forecasting, revenue recognition, and sales performance.
• Manage custom objects, fields, and validation rules related to financial tracking.
• Process Improvement & Automation:
• Develop and maintain complex Flows to automate financial approvals, contract management, and billing triggers.
• Collaborate with the finance team to translate business requirements into technical solutions.
• User Support & Training:
• Provide support for technical issues, acting as the point of contact for all internal user Salesforce requests, specifically regarding finance-related queries.
• Train team members on using Salesforce for accurate data entry. 

Required Knowledge, Skills, and Abilities

• Certifications: Certified Salesforce Administrator (required); Certified Advanced Administrator or CPQ Specialist (preferred).
• Experience: 2–4 years of experience as a Salesforce Administrator, preferably with exposure to accounting or financial services, or a strong background in financial/accounting systems.
• Technical Skills: Deep knowledge of Salesforce configuration, including Data Loader, Flow Builder, and Validation Rules.
• Accounting Understanding: Understanding of basic accounting principles (accounts payable/receivable, invoicing, revenue recognition) is a strong plus.
• Soft Skills: Strong analytical skills, attention to detail, and the ability to communicate technical information to non-technical users. 

Why This Role Matters

This position is critical for bridging the gap between sales activity and financial reporting, allowing for faster, more accurate revenue recognition and improved operational efficiency.

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

Midas is a fintech company that specializes in building state-of-the-art technological solutions for algorithmic trading, investments, and analytics for global financial markets. Headquartered in Mumbai, Midas aims to establish a strong presence in GIFT City (Gandhinagar), London, New York, and Singapore in the near future.

Our team consists of highly motivated and skilled individuals who serve sophisticated clients across various segments, including affluent individuals, high-net-worth individuals, ultra-high net-worth individuals, family offices, and institutions. We offer an excellent platform for personal and professional development within a highly committed and collaborative team in a mission-driven and results-oriented environment.

1. The ideal candidate should possess expert-level knowledge in technologies such as JavaScript, TypeScript, Node JS, MongoDB, Redis, Linux servers, and networking protocols (TCP and UDP). This includes understanding how to use these technologies to develop and deploy backend systems, as well as troubleshooting and optimizing them.
2. Proficient in automation technology, the candidate should be able to optimize existing infrastructure, identify and implement design patterns, and understand data structures and algorithms. This includes an ability to evaluate and recommend new technologies that can improve the performance and scalability of the system.
3. The candidate should be familiar with version control and project management tools such as GIT, JIRA, etc. and be able to use them effectively to manage and collaborate on code development.
4. Strong understanding of multithreading and multiprocessing concepts, and the ability to make tweaks and optimizations in similar domains for the purpose of improving performance and scalability.
5. Understanding of clustering and load balancing, including the ability to design and implement solutions that can improve the availability and scalability of the system.
6. Understanding of cyber security protocols and their application in the development and deployment of backend systems. This includes knowledge of best practices for securing systems, as well as the ability to identify and mitigate potential security threats.
7. Ability to implement CI/CD pipelines when needed. This includes an understanding of the various steps involved in creating, testing, and deploying code, as well as knowledge of the tools and technologies used to automate these processes.
8. Familiarity with tools such as NGINX or HAProxy and understanding how they can be used to improve the performance and scalability of the system.
9. Eagerness to learn and upgrade skills as per the demands of the product. This includes an ability to stay current with new technologies and best practices in the field, as well as a willingness to continuously improve one's own skills.
10. Proven experience in the industry and ability to work in a fast-paced environment. The candidate should have a solid understanding of the financial markets and the technology used to support them.
11. Strong problem-solving and analytical skills, ability to work independently and as part of a team. The candidate should be able to identify and solve complex problems and work effectively with others to achieve common goals.
12. Strong communication and interpersonal skills. The candidate should be able to effectively communicate with both technical and non-technical stakeholders, and work well in a team environment.

Backend Developer

Qualification: B.Tech./MCA, BCA in Computer Science or equivalent

Experience:     3 - 6 Years

Skills Required:

• Must Have: Java, Spring/ springboot
• Any 2 (Must) out of the below mentioned list :

1. JPA/Hibernate
2. Messaging queue/Kafka/SQS/distributed message/SNS/JMS
3. NOSQL/ Aerospike/ Reddis /Cassendra
4. Microservices

Roles and Responsibilities:

• Technical design, implementation, deployment, and support.
• Partner with Business Analysts to review and implement business

requirements.

• Perform development and unit testing, working closely with Business.
• Mentors and oversees development of resources, including reviewing designs and performing code reviews.
• Ensure designs are in compliance with specifications
• Contribute in all phases of the development lifecycle
• Developing high - volume, low - latency applications for mission - critical systems and delivering high - availability and performance
• Should have experience of working on Core Java/J2EE & OOPS concept
• Should be well versed with Spring/Struts & Apache Came l (OSGI Framework)
• Should have a good understanding of Hibernate and Other ORMs
• Should have an understanding of working on Web Service (SOAP/REST) and Maven
• Build tool such as Jenkins
• Caching Technique(Radis, Hazlecast, Aerospike)
• Database Knowledge- Oracle, MySQL

• Maintain UNIX/Linux Operating System
• Create and maintain environment for running batch jobs associated with daily batch cycle and batch reporting subsystem
• Work with LAN/Network personnel to ensure compatibility with LAN applications and peripheral hardware to provide end users with reliable and stable working environment
• Support and maintain other vendor database software installed on the LAN servers
• Perform User Access Management.
• Experience supporting day-today administration functions including user account management and script creation
• Apply Patches and Upgrades as necessary. Perform tasks for Backup and Recovery Management including High Availability
• Install and configure storage arrays and allocate SAN and NAS storage to different OS platforms and/or administer ZFS storage pools, file system, snapshots, and clones.
• Experience in Linux hypervisors KVM, XEN.
• Good knowledge on open stack administration and service operations.
• Good experience on veritas net backup software.
• Strong experience in public clouds AWS, AZURE, GCP.
• Solid knowledge of protocols such as DNS, HTTP, LDAP, SMTP and SNM
• Good understanding on AWS outposts hybrid environment.
• Good experience in the windows server and OS side.
• Experience in Monitoring platforms like Zabbix, ELK, Grafana.
• Troubleshoot Hardware Issues, Installation, and testing of computer peripherals
• Perform/Implement Security Monitoring and audit to identify any possible security intrusions or breaches.
• Collaborate with other teams and team members to develop automation strategies and deployment processes

Qualifications:

1. Degree in Computer Science, Computer Engineer, or other related courses
2. Minimum of 10 years’ experience
3. In-depth knowledge of Linux: RedHat, CentOS, Debian, etc.
4. In-depth knowledge in Linux virtualization
5. good knowledge of UNIX and LINUX Operating systems, file systems, storage environments, and networking protocols
6. Knowledgeable in Unix, Linux, Unix, Linux shell scripting. Practical scripting skills in Shell, PERL, Batch, Python
7. good DBA skills MySQL, MariaDB, PostgreSQL, Timescale, MongoDB
8. Basic Messaging and Collaboration concepts and tools, Server Virtualization
9. Practical understanding of Networking - routing, subnets, UDP, TCP, IP, and VLANs
10. Backup and Storage Management (Netback up mandatory).
11. Familiar and can identify or interpret crash dump files and core dump files and monitor System Logs