travel executive

About Us

We are a company where the ‘HOW’ of building software is just as important as the ‘WHAT’. Embracing Software Craftsmanship values and eXtreme Programming Practices, we create well-crafted products for our clients. We partner with large organizations to help modernize their legacy code bases and work with startups to launch MVPs, scale or as extensions of their team to efficiently operationalize their ideas. We love to work with folks who are passionate about creating exceptional software, are continuous learners, and are painstakingly fussy about quality. 🚀 

Our Core Values 

• Quality with Pragmatism: We aim for excellence with a focus on practical solutions.  
• Extreme Ownership: We own our work and its outcomes fully.  
• Proactive Collaboration: Teamwork elevates us all.  
• Pursuit of Mastery: Continuous growth drives us.  
• Effective Feedback: Honest, constructive feedback fosters improvement.  
• Client Success: Our clients’ success is our success.   

Experience Level 

This role is ideal for engineering managers with 8-12 years of software engineering experience, including hands-on technical experience building cloud-based software solutions, and 6+ years of managing software engineering teams. 

Role Overview 

If you’re a Software Craftsperson who takes pride in clean, test-driven code and believes in Extreme Programming principles, we’d love to meet you. At Incubyte, we’re a DevOps organization where developers own the entire release cycle, meaning you’ll get hands-on experience across programming, cloud infrastructure, client communication, and everything in between. Ready to level up your craft and join a team that’s as quality-obsessed as you are? Read on!  

What You'll Do 

• Partner with Product Management to define, assess, plan and execute the development of a new product.
• Partner with Product Management to establish and align on business, functional, and non-functional requirements; set clear, feasible software delivery expectations; collaborate on adapting to unexpected changes in plans and roadmaps; and to deliver on commitments with high reliability and accountability.
• Hands-on Engineering Manager who can operate as a technology strategist who understands modern cloud-based technology and SaaS product development; conducts technology assessments; evaluates existing products and 3rd party services for integration; and determines, recommends, and drives the development of a product architecture.
• Evaluate leading-edge technologies such as AI-based tools and integration patterns, and assets, for incorporation into the product offering in order to rapidly accelerate time-to-market
• Learn about and assess our products and technology services to determine how they might be leveraged to accelerate development and delivery of the solution. This includes SaaS products, data platforms and integration technologies.
• Build and provide technical leadership, direction and management to a high-performing, full-stack engineering team consisting of software, data, analytics and quality engineers, to rapidly deliver, enhance and maintain a best in class cloud-based product.
• Develop software products aligned to modern industry best practices and AWS well-architected framework. Software will be well documented, tested and maintained in our cloud-based git repository.
• Build and deploy software products within our cloud infrastructure while ensuring alignment with operational tools such as CircleCI, Datadog, Jira, GitHub and other mainstream tools within the organization.
• Coach exceptional, highly-skilled engineers; set clear goals; monitor performance and provide timely constructive feedback; and will continually work to optimize the performance, efficiency and effectiveness of your teams.
• Track team metrics, identify blockers to overall team effectiveness, and manage process improvements.
• Lead projects via agile methodologies where you will coach through sprint cycle stages, drive technology best practices and ensure work is accurately estimated, performance, and progress is tracked and reported to stakeholders.
• Work closely with our Information Security (InfoSec), Cloud Operations and other functional teams to ensure that product designs, engineering processes, and the management of data, align with our and industry policies and best practices.
• You will be accountable for ensuring that information is handled according to cybersecurity controls (e.g., SOC2, HITRUST), customer agreements, and legislative regulations (e.g., HIPAA).

Requirements

What We're Looking For 

• Knowledge of software engineering practices, patterns for software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and release management.
• Knowledge of Agile methodologies and will bring your experience in leading and coaching Agile teams through planning, execution and delivery phases.
• Experience managing contract resources that may be geographically dispersed.
• Experience developing and/or leading fullstack teams that develop SaaS products utilizing frontend technologies such as ReactJS, NodeJs, JavaScript, TypeScript and mainstream backend languages like Java.
• Experience defining standards for unit, functional and end to end testing utilizing frameworks such Gherkins / Cucumber and Cypress.
• Solid background in cloud development including serverless compute, microservices, containers, and API development and deployment within cloud environments.
• Knowledge of DevOps and CI/CD pipelines and process automation, including the technologies and the processes around CI/CD development, to help accelerate delivery.
• Experience in Google Workspace (G-Suite) or Microsoft Office.
• Ideally, you have worked in the healthcare industry and understand the ecosystem and data security compliance, the customers, their interactions, the information that is coordinated, and client lifecycle challenges in this area.
• Experience with Search Engine Optimization (SEO) or integrations is a major plus.

What We Offer 

• Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.  
• Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk. 
• Cutting-Edge Projects: Work on exciting projects with the latest AI technologies   
• Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance. 
• Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind. 
• And More: Extra perks to support your well-being and professional growth. 

Work Environment 

• Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards our customers recognize us by. With asynchronous tools and push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results. 
• Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered. 
• Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team. 

Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 

What are we looking or

1. Women-only
2. Experience in Sales and/or customer consulting
3. Ability to understand and handle data sets through google sheets and Excel
4. Experience: 1-2 Years

Job Role:

1. Convert highly qualified leads into Savage members, by consulting and guiding them based on their conditions and requirement
2. Assess ways to optimize the overall top of funnel lead flow at Savage by working with external communities
3. Create weekly reports on work done, what worked and what did not work.
4. Be the voice of prospective customers in the system

• Insurance P&C and Specialty domain experience a plus
• Experience in a cloud-based architecture preferred, such as Databricks, Azure Data Lake, Azure Data Factory, etc.
• Strong understanding of ETL fundamentals and solutions. Should be proficient in writing advanced / complex SQL, expertise in performance tuning and optimization of SQL queries required.
• Strong experience in Python/PySpark and Spark SQL
• Experience in troubleshooting data issues, analyzing end to end data pipelines, and working with various teams in resolving issues and solving complex problems.
• Strong experience developing Spark applications using PySpark and SQL for data extraction, transformation, and aggregation from multiple formats for analyzing & transforming the data to uncover insights and actionable intelligence for internal and external use

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s 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. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.