Hashone Careers

Job Description

We are seeking a highly skilled Sr. Fullstack Web Developer with a passion for crafting exceptional web experiences and robust backend systems. This role demands a deep understanding of React, Node.js, and modern cloud ecosystems like AWS, combined with a commitment to best practices and continuous improvement.

As part of our team, you will work closely with cross-functional teams to design, build, and maintain high-performance web applications and scalable backend solutions for our clients. The ideal candidate is a team player with a growth mindset, a passion for excellence, and the ability to energize and inspire those around them.

Key Responsibilities

Frontend Development

Design, develop, and maintain scalable and responsive web applications using React.

Implement user-friendly and accessible UI/UX designs, ensuring cross-browser compatibility and performance optimization.

Leverage modern frontend tools and frameworks to deliver high-quality and maintainable code.

Backend Engineering

Build and maintain scalable and secure backend systems using Python or Node.js and cloud platforms like AWS.

Design and implement RESTful & GraphQL APIs and server-side logic to power web applications.

Work with SQL and NoSQL databases to create efficient and scalable data solutions.

CI/CD and Automation

Set up and manage CI/CD pipelines to streamline development, testing, and deployment processes.

Automate repetitive tasks and workflows to improve team productivity and code reliability.

Programming Best Practices

Write clean, maintainable, and well-documented code adhering to best programming practices.

Conduct code reviews, implement test-driven development (TDD), and ensure high-quality software delivery.

Collaboration and Communication

Collaborate closely with designers, product managers, and other developers to deliver features that align with project goals and client expectations.

Communicate effectively with team members and stakeholders to ensure alignment and clarity throughout the development process.

Continuous Learning and Innovation

Stay up-to-date with the latest trends and technologies in web development, and actively contribute to process and technology improvements.

Explore and integrate modern tools, including AI-driven copilots, to enhance development workflows and efficiency.

Soft Skills and Leadership

Exhibit a team-first attitude, contributing to a positive and collaborative team culture.

Provide mentorship to junior developers, sharing knowledge and fostering a culture of continuous learning and growth.

Requirements

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

Experience: 4+ years of professional experience as a Fullstack Developer, with at least 3 years specialising in React for web development.

Proven expertise in building and maintaining scalable web applications in a services business environment.

Strong proficiency in Python or Node.js and familiarity with modern cloud platforms such as AWS.

Hands-on experience working with both SQL and NoSQL databases for designing and optimising data structures.

Expertise in setting up and managing CI/CD pipelines, as well as automating workflows.

Deep understanding of frontend and backend development best practices, including clean code principles, test-driven development (TDD), and code reviews.

Familiarity with tools like JIRA, Git, and DevOps practices to support efficient development workflows.

Strong problem-solving skills and the ability to troubleshoot complex technical challenges.

Excellent communication and collaboration skills, with experience working in cross-functional teams.

Demonstrated commitment to continuous learning and staying updated on emerging technologies and frameworks.

A team player with a growth mindset, passion for software craftsmanship, and attention to detail.

Prior experience working with a services company is a must.

Benefits

Mentorship: Work next to some of the best engineers and designers.

Freedom: An environment where you get to practice your craft. No micromanagement.

Comprehensive healthcare: Healthcare for you and your family.

Growth: A tailor-made program to help you achieve your career goals. Click here to read more about our career ladder.

A voice that is heard: We don't claim to know the best way of doing things. We like to listen to ideas from our team.

Job Title

Java/Golang Developer - Hyderabad

Job Description

Experience: 6 – 7 Years

Location: Hyderabad (5 days, work from office)

Employment Type: Fulltime

Key Responsibilities

•     Design, develop, and implement backend services using Java (latest version), Spring Boot, and Microservices architecture/ Golang
•     Participate in the end-to-end development lifecycle, from requirement analysis to deployment and support.
•     Collaborate with cross-functional teams (UI/UX, DevOps, Product, Testing) to deliver high-quality, scalable software solutions.
•     Integrate APIs and manage data flow between services and front-end systems.
•     Ensure performance, security, and scalability of services in production.
•     Contribute to technical documentation, code reviews, and best practice implementations.

Required Skills

•     Strong hands-on experience with Core Java (latest versions), Spring Boot, and    Microservices.
•     Solid understanding of RESTful APIs, JSON, and distributed systems.
•     Exposure to CI/CD pipelines, version control (Git), and deployment automation.
•     Familiarity with security best practices, logging, and monitoring tools.

Preferred Skills

•     Familiarity with payment gateway integrations or fintech applications.

Job Description

Role: Data Analyst

Experience: 6 - 9 Years

Location: Hyderabad

WorkMode: Work from Office (5 Days)

Overview

We are seeking a highly skilled Data Analyst with 6+ years of experience in analytics, data modeling, and advanced SQL. The ideal candidate has strong expertise in building scalable data models using dbt, writing efficient Python scripts, and delivering high-quality insights that support data-driven decision-making.

Key Responsibilities

Design, develop, and maintain data models using dbt (Core and dbt Cloud).

Build and optimize complex SQL queries to support reporting, analytics, and data pipelines.

Write Python scripts for data transformation, automation, and analytics workflows.

Ensure data quality, integrity, and consistency across multiple data sources.

Collaborate with cross-functional teams (Engineering, Product, Business) to understand data needs.

Develop dashboards and reports to visualize insights (using tools such as Tableau, Looker, or Power BI).

Perform deep-dive exploratory analysis to identify trends, patterns, and business opportunities.

Document data models, pipelines, and processes.

Contribute to scaling the analytics stack and improving data architecture.

Required Qualifications

6 - 9 years of hands-on experience in data analytics or data engineering.

Expert-level skills in SQL (complex joins, window functions, performance tuning).

Strong experience building and maintaining dbt data models.

Proficiency in Python for data manipulation, scripting, and automation.

Solid understanding of data warehousing concepts (e.g., dimensional modeling, ELT/ETL pipelines).

Understanding with cloud data platforms (Snowflake, BigQuery, Redshift, etc.).

Strong analytical thinking and problem-solving skills.

Excellent communication skills with the ability to present insights to stakeholders.

Trino and lakehouse architecture experience good to have

Job Description: DevOps Engineer

Location: Bangalore / Hybrid / Remote

Company: LodgIQ

Industry: Hospitality / SaaS / Machine Learning

About LodgIQ

Headquartered in New York, LodgIQ delivers a revolutionary B2B SaaS platform to the

travel industry. By leveraging machine learning and artificial intelligence, we enable precise

forecasting and optimized pricing for hotel revenue management. Backed by Highgate

Ventures and Trilantic Capital Partners, LodgIQ is a well-funded, high-growth startup with a

global presence.

Role Summary:

We are seeking a Senior DevOps Engineer with 5+ years of strong hands-on experience in

AWS, Kubernetes, CI/CD, infrastructure as code, and cloud-native technologies. This

role involves designing and implementing scalable infrastructure, improving system

reliability, and driving automation across our cloud ecosystem.

Key Responsibilities:

• Architect, implement, and manage scalable, secure, and resilient cloud

infrastructure on AWS

• Lead DevOps initiatives including CI/CD pipelines, infrastructure automation,

and monitoring

• Deploy and manage Kubernetes clusters and containerized microservices

• Define and implement infrastructure as code using

Terraform/CloudFormation

• Monitor production and staging environments using tools like CloudWatch,

Prometheus, and Grafana

• Support MongoDB and MySQL database administration and optimization

• Ensure high availability, performance tuning, and cost optimization

• Guide and mentor junior engineers, and enforce DevOps best practices

• Drive system security, compliance, and audit readiness in cloud environments

• Collaborate with engineering, product, and QA teams to streamline release

processes

Required Qualifications:

• 5+ years of DevOps/Infrastructure experience in production-grade environments

• Strong expertise in AWS services: EC2, EKS, IAM, S3, RDS, Lambda, VPC, etc.

• Proven experience with Kubernetes and Docker in production

• Proficient with Terraform, CloudFormation, or similar IaC tools

• Hands-on experience with CI/CD pipelines using Jenkins, GitHub Actions, or

similar

• Advanced scripting in Python, Bash, or Go

• Solid understanding of networking, firewalls, DNS, and security protocols

• Exposure to monitoring and logging stacks (e.g., ELK, Prometheus, Grafana)

• Experience with MongoDB and MySQL in cloud environments

Preferred Qualifications:

• AWS Certified DevOps Engineer or Solutions Architect

• Experience with service mesh (Istio, Linkerd), Helm, or ArgoCD

• Familiarity with Zero Downtime Deployments, Canary Releases, and Blue/Green

Deployments

• Background in high-availability systems and incident response

• Prior experience in a SaaS, ML, or hospitality-tech environment

Tools and Technologies You’ll Use:

• Cloud: AWS

• Containers: Docker, Kubernetes, Helm

• CI/CD: Jenkins, GitHub Actions

• IaC: Terraform, CloudFormation

• Monitoring: Prometheus, Grafana, CloudWatch

• Databases: MongoDB, MySQL

• Scripting: Bash, Python

• Collaboration: Git, Jira, Confluence, Slack

Why Join Us?

• Competitive salary and performance bonuses.

• Remote-friendly work culture.

• Opportunity to work on cutting-edge tech in AI and ML.

• Collaborative, high-growth startup environment.

• For more information, visit http://www.lodgiq.com

Job Description: Applied Scientist

Location: Bangalore / Hybrid / Remote

Company: LodgIQ

Industry: Hospitality / SaaS / Machine Learning

About LodgIQ

Headquartered in New York, LodgIQ delivers a revolutionary B2B SaaS platform to the

travel industry. By leveraging machine learning and artificial intelligence, we enable precise

forecasting and optimized pricing for hotel revenue management. Backed by Highgate

Ventures and Trilantic Capital Partners, LodgIQ is a well-funded, high-growth startup with a

global presence.

About the Role

We are seeking a highly motivated Applied Scientist to join our Data Science team. This

individual will play a key role in enhancing and scaling our existing forecasting and pricing

systems and developing new capabilities that support our intelligent decision-making

platform.

We are looking for team members who: ● Are deeply curious and passionate about applying machine learning to real-world

problems. ● Demonstrate strong ownership and the ability to work independently. ● Excel in both technical execution and collaborative teamwork. ● Have a track record of shipping products in complex environments.

What You’ll Do ● Build, train, and deploy machine learning and operations research models for

forecasting, pricing, and inventory optimization. ● Work with large-scale, noisy, and temporally complex datasets. ● Collaborate cross-functionally with engineering and product teams to move models

from research to production. ● Generate interpretable and trusted outputs to support adoption of AI-driven rate

recommendations. ● Contribute to the development of an AI-first platform that redefines hospitality revenue

management.

Required Qualifications ● Bachelor's or Master’s degree or PhD in Computer Science or related field. ● 3-5 years of hands-on experience in a product-centric company, ideally with full model

lifecycle exposure.

Commented [1]: Leaving note here

Acceptable Degree types - Masters or PhD

Fields

Operations Research

Industrial/Systems Engineering

Computer Science

Applied Mathematics

● Demonstrated ability to apply machine learning and optimization techniques to solve

real-world business problems.

● Proficient in Python and machine learning libraries such as PyTorch, statsmodel,

LightGBM, scikit-learn, XGBoost

● Strong knowledge of Operations Research models (Stochastic optimization, dynamic

programming) and forecasting models (time-series and ML-based).

● Understanding of machine learning and deep learning foundations.

● Translate research into commercial solutions

● Strong written and verbal communication skills to explain complex technical concepts

clearly to cross-functional teams.

● Ability to work independently and manage projects end-to-end.

Preferred Experience

● Experience in revenue management, pricing systems, or demand forecasting,

particularly within the hotel and hospitality domain.

● Applied knowledge of reinforcement learning techniques (e.g., bandits, Q-learning,

model-based control).

● Familiarity with causal inference methods (e.g., DAGs, treatment effect estimation).

● Proven experience in collaborative product development environments, working closely

with engineering and product teams.

Why LodgIQ?

● Join a fast-growing, mission-driven company transforming the future of hospitality.

● Work on intellectually challenging problems at the intersection of machine learning,

decision science, and human behavior.

● Be part of a high-impact, collaborative team with the autonomy to drive initiatives from

ideation to production.

● Competitive salary and performance bonuses.

● For more information, visit https://www.lodgiq.com

Job Description: Business Analyst – Data Integrations

Location: Bangalore / Hybrid / Remote

Company: LodgIQ

Industry: Hospitality / SaaS / Machine Learning

About LodgIQ

Headquartered in New York, LodgIQ delivers a revolutionary B2B SaaS platform to the

travel industry. By leveraging machine learning and artificial intelligence, we enable precise

forecasting and optimized pricing for hotel revenue management. Backed by Highgate

Ventures and Trilantic Capital Partners, LodgIQ is a well-funded, high-growth startup with a

global presence.

About the Role

We’re looking for a skilled Business Analyst – Data Integrations who can bridge the gap

between business operations and technology teams, ensuring smooth, efficient, and scalable

integrations. If you’re passionate about hospitality tech and enjoy solving complex data

challenges, we’d love to hear from you!

What You’ll Do

Key Responsibilities

 Collaborate with vendors to gather requirements for API development and ensure

technical feasibility.

 Collect API documentation from vendors; document and explain business logic to

use external data sources effectively.

 Access vendor applications to create and validate sample data; ensure the accuracy

and relevance of test datasets.

 Translate complex business logic into documentation for developers, ensuring

clarity for successful integration.

 Monitor all integration activities and support tickets in Jira, proactively resolving

critical issues.

 Lead QA testing for integrations, overseeing pilot onboarding and ensuring solution

viability before broader rollout.

 Document onboarding processes and best practices to streamline future

integrations and improve efficiency.

 Build, train, and deploy machine learning models for forecasting, pricing, and

optimization, supporting strategic goals.

 Drive end-to-end execution of data integration projects, including scoping, planning,

delivery, and stakeholder communication.

 Gather and translate business requirements into actionable technical specifications,

liaising with business and technical teams.

 Oversee maintenance and enhancement of existing integrations, performing RCA

and resolving integration-related issues.

 Document workflows, processes, and best practices for current and future

integration projects.

 Continuously monitor system performance and scalability, recommending

improvements to increase efficiency.

 Coordinate closely with Operations for onboarding and support, ensuring seamless

handover and issue resolution.

Desired Skills & Qualifications

 Strong experience in API integration, data analysis, and documentation.

 Familiarity with Jira for ticket management and project workflow.

 Hands-on experience with machine learning model development and deployment.

 Excellent communication skills for requirement gathering and stakeholder

engagement.

 Experience with QA test processes and pilot rollouts.

 Proficiency in project management, data workflow documentation, and system

monitoring.

 Ability to manage multiple integrations simultaneously and work cross-functionally.

Required Qualifications

 Experience: Minimum 4 years in hotel technology or business analytics, preferably

handling data integration or system interoperability projects.

 Technical Skills:

 Basic proficiency in SQL or database querying.

 Familiarity with data integration concepts such as APIs or ETL workflows

(preferred but not mandatory).

 Eagerness to learn and adapt to new tools, platforms, and technologies.

 Hotel Technology Expertise: Understanding of systems such as PMS, CRS, Channel

Managers, or RMS.

 Project Management: Strong organizational and multitasking abilities.

 Problem Solving: Analytical thinker capable of troubleshooting and driving resolution.

 Communication: Excellent written and verbal skills to bridge technical and non-

technical discussions.

 Attention to Detail: Methodical approach to documentation, testing, and deployment.

Preferred Qualification

 Exposure to debugging tools and troubleshooting methodologies.

 Familiarity with cloud environments (AWS).

 Understanding of data security and privacy considerations in the hospitality industry.

Why LodgIQ?

 Join a fast-growing, mission-driven company transforming the future of hospitality.

 Work on intellectually challenging problems at the intersection of machine learning,

decision science, and human behavior.

 Be part of a high-impact, collaborative team with the autonomy to drive initiatives from

ideation to production.

 Competitive salary and performance bonuses.

 For more information, visit https://www.lodgiq.com

Job Description

Experience: 5 - 9 years

Location: Bangalore/Pune/Hyderabad

Work Mode: Hybrid(3 Days WFO)

Senior Cloud Infrastructure Engineer for Data Platform 

The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and efficient data and analytics solutions. This role requires a strong understanding of cloud-native technologies, DevOps best practices, and hands-on experience with Azure and Databricks.

Key Responsibilities:

Cloud Infrastructure Design & Management

Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.

Implement best practices for Azure Resource Management, including resource groups, virtual networks, and storage accounts.

Optimize cloud costs and ensure high availability and disaster recovery for critical systems

Databricks Platform Management

Set up, configure, and maintain Databricks workspaces for data engineering, machine learning, and analytics workloads.

Automate cluster management, job scheduling, and monitoring within Databricks.

Collaborate with data teams to optimize Databricks performance and ensure seamless integration with Azure services.

CI/CD Pipeline Development

Design and implement CI/CD pipelines for deploying infrastructure, applications, and data workflows using tools like Azure DevOps, GitHub Actions, or similar.

Automate testing, deployment, and monitoring processes to ensure rapid and reliable delivery of updates.

Monitoring & Incident Management

Implement monitoring and alerting solutions using tools like Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.

Troubleshoot and resolve infrastructure and application issues, ensuring minimal downtime.

Security & Compliance

Enforce security best practices, including identity and access management (IAM), encryption, and network security.

Ensure compliance with organizational and regulatory standards for data protection and cloud operations.

Collaboration & Documentation

Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align infrastructure with business needs.

Maintain comprehensive documentation for infrastructure, processes, and configurations.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

Must Have Experience:

6+ years of experience in DevOps or Cloud Engineering roles.

Proven expertise in Microsoft Azure services, including Azure Data Lake, Azure Databricks, Azure Data Factory (ADF), Azure Functions, Azure Kubernetes Service (AKS), and Azure Active Directory.

Hands-on experience with Databricks for data engineering and analytics.

Technical Skills:

Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.

Strong scripting skills in Python, or Bash.

Experience with containerization and orchestration tools like Docker and Kubernetes.

Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).

Soft Skills:

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities.

Job Description

Experience: 4 – 8 Years

 Location: Hyderabad 

 Employment Type: Fulltime

Key Responsibilities

•     Design, develop, and implement backend services using Java (latest version), Spring Boot, and Microservices architecture.
•     Participate in the end-to-end development lifecycle, from requirement analysis to deployment and support.
•     Collaborate with cross-functional teams (UI/UX, DevOps, Product) to deliver high-quality, scalable software solutions.
•     Integrate APIs and manage data flow between services and front-end systems.
•     Work on cloud-based deployment using AWS or GCP environments.
•     Ensure performance, security, and scalability of services in production.
•     Contribute to technical documentation, code reviews, and best practice implementations.

Required Skills

•     Strong hands-on experience with Core Java (latest versions), Spring Boot, and Microservices.
•     Solid understanding of RESTful APIs, JSON, and distributed systems.
•     Basic knowledge of Kubernetes (K8s) for containerization and orchestration.
•     Working experience or strong conceptual understanding of cloud platforms (AWS / GCP).
•     Exposure to CI/CD pipelines, version control (Git), and deployment automation.
•     Familiarity with security best practices, logging, and monitoring tools.

Preferred Skills

•     Experience with end-to-end deployment on AWS or GCP.
•     Familiarity with payment gateway integrations or fintech applications.
•     Understanding of DevOps concepts and infrastructure-as-code tools (Added advantage).