Senior Software Engineer

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety.

Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance.

As a Senior Software Engineer, you will be a technical leader within the Platform Engineering team, responsible for architecting and implementing the most critical components of the AryaXAI platform. You will move beyond feature development to take ownership of entire systems, from initial design to production deployment and long-term reliability. Your role will involve tackling our most complex technical challenges, such as designing a cost-aware distributed job scheduler, building a high-performance AI inferencing setup or architecting our multi-cloud serverless framework. You will mentor junior engineers, drive technical decision-making, and set the standard for engineering excellence across the team

**.

Key Responsibili**

• **ties

Architect and Own Core
Systems: Lead the design, development, and operational ownership of large-scale distributed systems that are the foundation of our AI inferencing plat
- form.Solve High-Complexity P
roblems: Tackle ambiguous and challenging engineering problems in areas like high-performance computing, distributed consensus, resource scheduling, and multi-cloud orches
tra
- tion.Drive Technical S
trategy: Influence the team's technical roadmap, evaluate new technologies, and make key architectural decisions that impact the entire platform's scalability, reliability, and cost-effect
ive
- ness.Mentor and Elevate t
he Team: Act as a technical mentor to other engineers, providing guidance through code reviews, design discussions, and pair programming, fostering a culture of high-quality engi
nee
- ring.Champion Best Pr
actices: Set and enforce best practices for software development, including advanced testing strategies, CI/CD automation, system observability, and operational re
adi
- ness.Performance Optim
ization: Profile and optimize critical system components, diving deep into performance bottlenecks across the stack, from Python code to network I/O and infrastructure config
ura**

**tion.

Required Qualific**

• ationsExtensive
  Experience: 5+ years of professional software engineering experience, with a demonstrated track record of designing and delivering complex backend sy
• stems.Expert in Python and have built scalable sy
• stems.Experience with Puppet/Chef/Ansible, Amazon Web Services (AWS), Git, Graphite and related tools for large-scale systems management
  is a
• must.Expert-Le
  vel Python: Deep, idiomatic knowledge of Python. This includes advanced concepts like asynchronous programming (asyncio), concurrency models (multithreading/multiprocessing), the Global Interpreter Lock (GIL), and experience with performance profiling and memory optimiza
  tion
• tools.Proven System Des
  ign Skills: Demonstrable experience architecting scalable, fault-tolerant, and highly available distributed systems. You should be able to fluently discuss the trade-offs of different architectural patterns (e.g., microservices vs. monoliths), data consistency models (e.g., eventual vs. strong), and communication protocols (e.g., REST, gRPC, messa
  ge qu

**eues).

Deep Cloud and Distributed Systems Kno**

• **wledge:

Cloud In
frastructure: Hands-on experience building and deploying production workloads on at least one major cloud provider (AWS,
GCP,
- Azure).Messaging &
amp; Queuing: Practical experience with message brokers like RabbitMQ or Kafka for building asynchronous, event-dr
iven
- systems.Cachin
g Strategies: In-depth knowledge of caching patterns and hands-on experience with systems like Redis
or Me
- mcached.Databa
se Expertise: A strong understanding of the trade-offs between SQL and NoSQL databases and experience designing data models for performan
ce an**

**d scale.

Mastery of Containerization and Orche**

• st
  ration:Docker: Expert-level understanding of Docker, including multi-stage builds, image optimization, and contain
  er ne
• tworki
  ng.Kubernetes: Deep, hands-on experience managing production applications on Kubernetes. This goes beyond deploying simple services and includes understanding the Kubernetes control plane, writing custom controllers/operators, and configuring networking (CNI), storage (CSI), and secu
  rity

**policies.

Preferred Qual**

• **ifications

High-Performance
Computing (HPC): Experience writing or integrating with performance-critical code using lower-level languages like
C++,
- Go, orRust.Building Dev
eloper Platforms: Experience building internal developer platforms (IDPs), custom schedulers, or orchestration frameworks fr
om the
- ground up.AIOps and A
I Infrastructure: Familiarity with the AIOps lifecycle and experience with tools like Kubeflow, MLflow, or building model inference servers (e.g., Triton, TorchServe, or custom vLLM/SGLang
implem
- entations).Adv
anced Kubernetes: Experience with service meshes (e.g., Istio, Linkerd) and building custom CRDs and Operators to extend Kubernet
es fun
- ctionality.Multi-Cloud and Serverl
ess Architecture: Direct experience designing and implementing systems that span multiple cloud providers or building custom serv
erless**

**platforms.

What**

• 'll you get:Highly competitive and meaningful compensa
• tion packageOne of the best health care plans that covers not only you but also
• your family
• A great teamMicro-entrepreneurial tasks and respo
• nsibilities.Career development and leadership o

pportunities