Senior Staff Engineer, Supply chain optimization

Posted 3 Days Ago
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Hiring Remotely in IN
Remote
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
Designs and develops advanced supply chain optimization solutions using mathematical programming, heuristics, meta-heuristics, machine learning, simulation, and cloud technologies. Translates client requirements into scalable technical architectures, optimization models, and applications. Reviews designs, defines non-functional requirements, performs proofs of concept, supports pre-sales and go-to-market activities, and bridges technical decisions with business recommendations.
Summary Generated by Built In
Company Description

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

Job Description

REQUIREMENTS:

  • Total experience 7.5+ years.
  • Should have experience in Supply chain platforms (Llamasoft, O9, Anaplan, Kinaxis)
  • Should be able to create hybrid optimization approaches and real-time optimization engines for large-scale, time-constrained problems.
  • Should be able to implement machine learning-enhanced optimization and approximation algorithms for complex combinatorial problems.
  • Should have experience with meta-heuristic algorithms and simulation platforms
  • Should have advanced Python programming and understanding of computational complexity
  • Should have proven experience solving real-world supply chain problems like network optimization, inventory planning, routing, warehousing, sourcing, etc.
  • Should have ability to translate data and models into clear business recommendations
  • Must have communication skills to bridge technical work and business decision-making
  • Should have strong business communication and trade-off assessment skills
  • Should have machine learning libraries (scikit-learn, TensorFlow) and multi-objective optimization
  • Should have experience in parallel computing, stochastic optimization, and cloud platforms (AWS/Azure/GCP)
  • Should have application integration experience and consulting background

RESPONSIBILITIES:

  • Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
  • Develop optimization models using exact solvers (Gurobi, CPLEX, AMPL) and heuristic/meta-heuristic algorithms (genetic algorithms, simulated annealing, tabu search, particle swarm optimization)
  • Build discrete-event and agent-based simulations using AnyLogic, FlexSim, or equivalent platforms.
  • Translate business challenges into mathematical formulations and embed models into scalable applications.
  • Support pre-sales, GTM asset development, and stay current with OR/simulation advancements
  • Proficiency in optimization solvers and heuristic algorithm development
  • Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
  • Mapping decisions with requirements and be able to translate the same to developers.
  • Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
  • Defining guidelines and benchmarks for NFR considerations during project implementation
  • Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
  • Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
  • Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
  • Understanding and relating technology integration scenarios and applying these learnings in projects
  • Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
  • Carrying out POCs to make sure that suggested design/technologies meet the requirements

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Skills Required

  • 7.5 or more years of total professional experience
  • Experience with supply chain platforms such as Llamasoft, o9, Anaplan, or Kinaxis
  • Ability to create hybrid optimization approaches and real-time optimization engines for large-scale, time-constrained problems
  • Experience implementing machine learning-enhanced optimization and approximation algorithms for complex combinatorial problems
  • Experience with meta-heuristic algorithms and simulation platforms
  • Advanced Python programming and understanding of computational complexity
  • Experience solving real-world supply chain problems involving network optimization, inventory planning, routing, warehousing, or sourcing
  • Ability to translate data and models into clear business recommendations
  • Strong communication, business communication, and trade-off assessment skills
  • Experience with scikit-learn, TensorFlow, and multi-objective optimization
  • Experience with parallel computing, stochastic optimization, and AWS, Azure, or Google Cloud Platform
  • Application integration experience and consulting background
  • Proficiency with optimization solvers including Gurobi, CPLEX, or AMPL
  • Experience developing heuristic and meta-heuristic algorithms, including genetic algorithms, simulated annealing, tabu search, or particle swarm optimization
  • Experience building discrete-event and agent-based simulations using AnyLogic, FlexSim, or equivalent platforms
  • Bachelor's or master's degree in computer science, information technology, or a related field

Nagarro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.

  • Pay Growth & Progression Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
  • Flexible Benefits Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
  • Healthcare Strength Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).

Nagarro Insights

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The Company
HQ: Munich
19,994 Employees
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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