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Salary
≈ $21k – $61k per year (Estimated)
Location
Remote (likely India)
Seniority
Senior · 5+ years exp

First seen by Alion on Sep 30, 2026.

Overview
Company
Impact
Profile match
GyanSys is a global systems integrator headquartered in Indianapolis, Indiana, that implements SAP, Salesforce, Microsoft and ServiceNow platforms along with data, analytics and AI solutions for sales, finance, supply chain, manufacturing and HR processes. Founded in 2005 with a focus on SAP services, it has more than 3,000 employees in 12 countries serving about 160 active customers in manufacturing, automotive, high-tech, consumer goods and life sciences, with large delivery teams in Bengaluru. It hires SAP functional and technical consultants and architects, AI and ML engineers, data scientists and architects, .NET developers and project managers.

Description:

We are looking for a Senior Distributed Systems Software Engineer to build and optimize core storage engine internals and automated file compaction algorithms for enterprise data lakehouses.

You will work directly with low-level distributed storage structures (Iceberg/Parquet), concurrency mechanics (MVCC/OCC), and memory management in Python, C/C++, Java, or Scala.

This fully remote role features high autonomy, AI-assisted development tools, and alignment with Israeli working hours.

Requirements:

- Strong experience in Programming / Scripting language such as Python/ C++/ Scala

- Familiarity with data structures and algorithms.

- Knowledge of web applications, databases, Linux and cloud environments.

- Experience in working on connectors and building data pipelines is preferred.

- A track record of delivering substantial software projects in cloud or data products.

- Excellent communication and interpersonal skills.

Job Responsibilities:

- You'll be responsible for software design, implementation, testing, and operation.

- You'll continue to rapidly expand our universe of source and destination connectors.

- You'll experiment with "automated connector generation" and optimize the performance of our connectors and processors to handle larger data sets.

- You'll build a common API and runtime layer for data processing tasks across all of our products.

What We Offer:

- Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

- Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!

- Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

- Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training (GL Vantage, Toast Master), Stress Management program, professional certifications, and technical and soft skill trainings.

- Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance, NPS (National Pension Scheme), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

- Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Skills

Distributed Systems, Python, C++, Java, Scala, Algorithm, Data Structure

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