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Principal Software Engineer
Product Base Company into Logistic
Principal Software Engineer

Principal Software Engineer at Product Base Company into Logistic · Mumbai, Navi Mumbai · 6 - 14 years · ₹16L - ₹37L / yr · Posted 26 Jun 2023

Qrata's logo

Principal Software Engineer

at Product Base Company into Logistic

Agency job
via Qrata
6 - 14 yrs
₹16L - ₹37L / yr
Mumbai, Navi Mumbai
Skills
skill iconPython
PySpark
Data engineering
Big Data
Hadoop
Spark
skill iconMachine Learning (ML)
Algorithms

Role: Principal Software Engineer


We looking for a passionate Principle Engineer - Analytics to build data products that extract valuable business insights for efficiency and customer experience. This role will require managing, processing and analyzing large amounts of raw information and in scalable databases. This will also involve developing unique data structures and writing algorithms for the entirely new set of products. The candidate will be required to have critical thinking and problem-solving skills. The candidates must be experienced with software development with advanced algorithms and must be able to handle large volume of data. Exposure with statistics and machine learning algorithms is a big plus. The candidate should have some exposure to cloud environment, continuous integration and agile scrum processes.



Responsibilities:


• Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule

• Software Development that creates data driven intelligence in the products which deals with Big Data backends

• Exploratory analysis of the data to be able to come up with efficient data structures and algorithms for given requirements

• The system may or may not involve machine learning models and pipelines but will require advanced algorithm development

• Managing, data in large scale data stores (such as NoSQL DBs, time series DBs, Geospatial DBs etc.)

• Creating metrics and evaluation of algorithm for better accuracy and recall

• Ensuring efficient access and usage of data through the means of indexing, clustering etc.

• Collaborate with engineering and product development teams.


Requirements:


• Master’s or Bachelor’s degree in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school

• OR Master’s degree or higher in Statistics, Mathematics, with hands on background in software development.

• Experience of 8 to 10 year with product development, having done algorithmic work

• 5+ years of experience working with large data sets or do large scale quantitative analysis

• Understanding of SaaS based products and services.

• Strong algorithmic problem-solving skills

• Able to mentor and manage team and take responsibilities of team deadline.


Skill set required:


• In depth Knowledge Python programming languages

• Understanding of software architecture and software design

• Must have fully managed a project with a team

• Having worked with Agile project management practices

• Experience with data processing analytics and visualization tools in Python (such as pandas, matplotlib, Scipy, etc.)

• Strong understanding of SQL and querying to NoSQL database (eg. Mongo, Casandra, Redis

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Job Description

ABOUT THE ROLE

The Senior Principal Software Engineer – Full Stack is a key technical leader responsible for defining and driving the technical strategy across the entire engineering function. You will own complex, high-impact systems, deliver enterprise-scale SaaS products at Champion Pace, and serve as a recognized internal subject matter expert — providing thought leadership to redefine the supply chain through an intelligent, adaptive platform.


WHAT YOU'LL DO

  • Architectural Ownership: Design, implement, and lead the development of robust frontend frameworks and backend services, taking end-to-end ownership of critical, cross-functional components.
  • Technical Strategy: Apply deep expertise in highly specialized domains to develop complex systems, contribute to company objectives, and drive creative and effective goal achievement.
  • Problem Resolution: Proactively debug, diagnose, and resolve highly complex technical issues and performance bottlenecks across the stack with minimal guidance.
  • System Design: Apply conceptual thinking to understand advanced technical implications and construct highly scalable system architectures.
  • Technical Mentorship: Act as an internal subject matter expert — mentor senior and principal engineers, lead cross-team code reviews, and establish high standards for quality and performance.
  • Policy & Principles Guidance: Direct the application of existing technical principles and actively guide development of new policies and engineering standards.
  • Code Optimization: Translate complex product and technical requirements into clean, efficient, maintainable code; optimize system architecture for scale and performance.
  • Cross-Functional Collaboration: Build formal networks across organizational groups and collaborate closely with Product, QA, and DevOps to deliver world-class SaaS products.
  • Strategic Influence: Convey advanced technical concepts and persuade diverse stakeholder audiences to drive cross-organizational alignment and technical adoption.
  • Functional Accountability: Determine methods and procedures on new assignments, taking ultimate responsibility for results that impact the entire engineering function.

 

Qualifications

MUST-HAVE QUALIFICATIONS

  • 12+ years of professional software development experience (8+ with a Master's; 5+ with a PhD).
  • Expert-level proficiency in HTML, CSS, JavaScript, Java, Node.js, Python, and RESTful APIs.
  • Deep experience with microservices, SQL/NoSQL databases, and modern frontend frameworks.
  • Proven ability to own and drive complex, cross-functional technical architecture end-to-end.
  • Strong track record of mentoring senior engineers and leading technical standards across teams.
  • Deep understanding of cloud-native architectures, Agile product development, OOP fundamentals, and data structures & algorithms.

NICE-TO-HAVE

  • Experience with agentic or AI-powered platform engineering.
  • Familiarity with manufacturing or supply chain SaaS domains.
  • Background in AI governance, evaluation, and observability.


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Arpita Das
Posted by Arpita Das
Bengaluru (Bangalore)
9 - 15 yrs
Best in industry
skill iconPython
skill iconJava
skill iconNodeJS (Node.js)
TypeScript
Systems design
+52 more

About the role

We are hiring a Principal Engineer to own the hardest technical problems in our product and see them through from first sketch to stable production. You will set technical direction, design systems that scale, and raise the engineering bar through your own work and the people around you. This is a hands-on leadership role: you write code, review designs, and ship.


What will you do?

You will own outcomes, not just tasks. Expect to spend your time on the following.

• Own projects end to end. Take an ambiguous problem, shape the requirements, design the solution, break down the work, deliver it to production, and stay accountable for how it runs afterwards.

• Lead system design. Author and review architecture for services, data pipelines and integrations, with clear trade-offs on scale, latency, cost, consistency and reliability.

• Write and review critical code. Build the hardest components yourself, and set standards for code quality, testing and maintainability through code and design reviews.

• Own deployment and operations. Design CI/CD, infrastructure and release strategies. Drive observability, on-call readiness, incident response and post-incident learning.

• Solve hard problems. Debug production issues across the stack, and find root causes in performance, concurrency, data and scaling problems.

• Mentor and multiply. Coach senior and junior engineers, grow future tech leads, and make the whole team faster and more confident.

• Partner across functions. Work with product, design, data and business teams to turn goals into technical plans, and to say no or reshape scope when needed.

• Shape technical strategy. Guide build-versus-buy decisions, manage tech debt, evaluate new technologies, and contribute to the engineering roadmap.

• Raise the bar. Help define engineering practices, hiring standards and culture, and take part in interviewing.


What are we looking for?

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.


Core engineering

• 10+ years of professional software engineering, with a track record of shipping and running production systems.

• Strong computer science fundamentals: data structures, algorithms and complexity, operating systems, networking, databases and concurrency.

• Fluency in at least one major backend language (for example Python, Go, Java, or Node.js/ TypeScript) and the ability to pick up others quickly.

• Deep knowledge of relational and NoSQL data stores: schema design, indexing, transactions, query tuning and replication.


System design and problem solving

• Proven ability to design distributed systems that are scalable, fault tolerant and cost aware, and to explain the trade-offs clearly.

• Experience with APIs, event-driven and asynchronous architectures, queues, caching and service-to-service communication.

• A structured approach to ambiguous problems: break them down, test assumptions, decide with incomplete data, and measure results.

• Strong debugging instincts, including performance profiling and production troubleshooting.


Delivery and operations

• Have led at least two significant projects from inception to production, including planning, milestones, risk management and launch.

• Hands-on experience with deployment: CI/CD pipelines, containers (Docker, Kubernetes), a major cloud (AWS, GCP or Azure), and infrastructure as code.

• Practical experience with monitoring, logging, alerting, SLOs and incident management.

• Habit of writing tests and automation, and of leaving systems more reliable than you found them.


Leadership and communication

• Experience leading engineers without formal authority, through influence, mentoring and clear technical writing.

• Excellent written and verbal communication: design docs, RFCs and concise updates to non-technical stakeholders.

• Ownership mindset, sound judgment on priorities, and comfort working in a fast-moving environment.


Nice to have

• Experience in fintech, lending or another regulated, data-heavy domain.

• Exposure to AI/ML or LLM-based systems in production: model serving, evaluation, retrieval, and cost and latency management.

• Deep experience with data engineering: streaming, batch pipelines, warehouses or search systems.

• Security and compliance awareness: authentication, encryption, audit trails, secure SDLC.

• Experience with multi-tenant SaaS, high-throughput systems or zero downtime migrations.

• Open-source contributions, conference talks, or technical writing.

• Experience scaling an engineering team or helping set up hiring and onboarding practices.

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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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