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About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Experience Level

We're looking for a Business Analyst with 3–5 years of experience in business analysis, requirements gathering, and working closely with engineering teams.

Role Overview

You'll be working on an engagement that automates data retrieval from third-party web portals. The job is to understand how an unfamiliar portal behaves, figure out what data needs to come out of it, and turn that into requirements engineers can build automation against.

The hard part isn't the automation. It's the handoff. Most of the time on work like this goes into discovery and specification, and that's also where the quality of the eventual build gets decided. You'll own that whole path: getting into the system, pulling the domain knowledge out of the people who have it, and turning it into work a developer can pick up and finish without coming back to you with questions.

We want a crafter here, someone who gets creative about how they reach an answer and stays exact about how they write it down. Use AI to explore an unfamiliar system, sketch alternatives, throw together a quick prototype to see whether an idea holds up, and challenge your own thinking before it reaches a developer. Both halves matter. Creative work that isn't accurate turns into rework, and accurate work that isn't creative is just slow.

You won't need to arrive as a domain expert. You will need to get up to speed in an unfamiliar one quickly.

Key Responsibilities

• Discovery Work through unfamiliar web portals and document the flows, inputs, fields, and branches needed to produce a complete result.
• Data Definition Pin down exactly which data points matter, where each one comes from, and how it should be read and normalised.
• Specification and Work Breakdown Turn what you find in discovery into sliced, dev-ready work: user stories, acceptance criteria, business rules, and edge cases, sequenced so engineers can start straight away and finish without a second round of questions.
• Repeatable Onboarding Build the templates, checklists, and field taxonomies that make each portal faster than the last. Separate what's common across systems from what genuinely differs.
• Client Collaboration Work directly with client-side analysts and engineers. Get the access you need, run the sessions, and get to answers quickly.
• Time-Boxed Discovery Work inside short, outcome-driven spikes and come out with a clear recommendation you can back up.
• Variation Analysis Compare across systems and surface the differences that actually affect the build.
• Validation Check automated output against the manual process, quantify where it diverges, and tell acceptable variance apart from real defects.
• Process Improvement Treat the discovery-to-delivery pipeline as something you improve, not just something you work inside.

Requirements

What We're Looking For

• Requirements and Specification You've turned messy, undocumented workflows into clear, testable requirements that engineers could actually build from.
• Work Breakdown You can take an ambiguous problem, slice it into units of work with real acceptance criteria, and hand it to a development team. This is the heart of the role, not a side skill.
• Web Application Fluency You're comfortable in browser developer tools and can reason about how a web application actually serves up its data. You won't be writing the automation, but you do need to specify it accurately.
• Analytical Depth You can look across several similar systems and see what's genuinely shared and what's genuinely different, rather than treating each one as a brand new problem.
• Precision A specification that's almost right still sends the engineer back to you. Getting it exactly right matters more here than getting a lot of it done.
• Communication and Elicitation A large part of this job is getting domain knowledge out of busy stakeholders.
• Agile Ownership Not just having worked in sprints, but having run the mechanics yourself: backlog refinement, story sizing, sprint planning, and keeping a development team unblocked.
• Visual Communication You're comfortable sketching flows and wireframes to get stakeholders and engineers aligned on something before it gets built.
• AI-Native Working We build with AI across the SDLC and we expect the same in your own work: exploring an unfamiliar system, generating and comparing options, prototyping something quickly to test an assumption, and stress-testing a specification before anyone builds against it.
• Creative Problem Solving You look for the shortest honest route to an answer rather than the most obvious one, and you're willing to build something rough to find out whether an idea works.
• Domain Adaptability Healthcare RCM or insurance experience is a plus. Being able to get productive in an unfamiliar domain within a few weeks is not optional.
• Nice to Have Scraping, data extraction, or browser automation projects. Exposure to automation frameworks, SQL, Excel, or Jira.

Benefits

Life at Incubyte

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.

Perks

• Dedicated learning & development budget.
• Sponsorship for conference talks.
• Comprehensive medical & term insurance.
• Employee-friendly leave policies.
• Home Office fund
• Medical Insurance
• 
  

Job Title: Data Engineer

Location: Pune, India

Experience: 5 to 9 years

Job Description:

We are seeking a talented and experienced Data Engineer to join our team in Pune. The ideal candidate will have a strong background in data engineering with expertise in Python, AWS, Spark, and Scala. This role is critical to our data infrastructure, ensuring that our data pipelines are robust, efficient, and scalable.

Required Skills:

• Python: Advanced proficiency with extensive experience in building data pipelines.
• AWS: Hands-on experience with AWS services such as S3, Lambda, Redshift, Glue, and EMR.
• Spark: Proficient in using Apache Spark for large-scale data processing.
• Scala: Working knowledge of Scala for Spark programming.
• Strong understanding of data warehousing concepts and ETL processes.
• Experience with SQL and relational databases.
• Familiarity with data governance and security best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

• Strong Software Engineering Profile
• Mandatory (Experience 1): Must have 5+ years of experience using Python to design software solutions.
• Mandatory (Skills 1): Strong working experience with Python (with Django framework experience) and Microservices architecture is a must.
• Mandatory (Skills 2): Must have experience with event-driven architectures using Kafka
• Mandatory (Skills 3): Must have Experience in DevOps practices and container orchestration using Kubernetes, along with cloud platforms like AWS, GCP, or Azure
• Mandatory (Company): Product companies, Experience working in fintech, banking, or product companies is a plus.
• Mandatory (Education): From IIT (Candidate should have done bachelor degree Btech or Dual degree Btech+Mtech or Intergrated Msc), From other premium institutes NIT, MNNIT, VITS, BITS (Candidates should have done B.E/B.Tech)

Oversee the sales process to attract new clients.

Work with senior team members to identify and manage risks.

Maintain fruitful relationships with clients and address their needs effectively.

Prepare and deliver pitches to potential investors.

Foster a collaborative environment within the organization.

Transfer call to the supervisor after initial explanation.

SKILLS:

Excellent spoken English.

Both Graduate/Undergraduate may apply.

Ability to develop good relationships with current and potential clients.

Excellent communication skills.

Knowledge of productivity tools and software.

Ready to work in Nightshift.

• PL ownership: Drive and ensure 100% achievement of the targeted sales numbers of the categories. 
• Ensure Profitability by negotiating the best category margins, securing marketing support from brands, and focusing on delivering the budgeted top-line and bottom-line.
• Assortment planning: Ensure we have a competitive catalog compared to other players across brands and sub-categories globally. 
• Customer Experience: Anticipate and create solutions for customer pain points. Should be able to resolve customer escalations and deliver on the expected NPS for the category. 
• Category marketing: Create weekly, monthly, and quarterly calendars  Have joint marketing plans signed off with partner brands, execute the plan in coordination with the internal team
• Operational efficiency: Work with cross-functional teams like CS, Finance, Sales to ensure a smooth functioning system and to be able to deliver on the required set of parameters measured across each function

1. 5-10 years of experience in global category roles, preferably digital categories like gift cards, perks, deals, experiences, loans, insurance, merchandise etc. 
2. Hands-on in Sales, Operations, Catalog and Category Management.
3. Strong analytical aptitude in problem-solving, multi-tasker, critical thinker, and a tactical executioner with a proven track record of finding solutions to business problems.
4. Good communication and team management skills. 
5. Engineering + MBA from reputed colleges would be preferred.

A wholesome opportunity in a fast-paced environment will enable you to juggle between concepts yet maintain the quality of content, interact, share your ideas, and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Plum.