Senior Systems Developer - Rust, Blockchain

Senior Python Developer to lead the development of scalable, high-performance backend systems and data-driven applications. You will work on building robust services, APIs, and data workflows that power real-time and batch applications.This role is ideal for a seasoned developer who thrives on solving complex problems, building reliable software, and working across data and engineering teams. Youll play a key role in designing and developing Python-based systems that interface with big data frameworks, cloud platforms, and analytics tools.Key Responsibilities

• Design and develop robust Python-based backend services and microservices.
• Build RESTful APIs and integrations with third-party systems and internal tools.
• Work with data workflows involving ingestion, transformation, and validation.
• Develop and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
• Collaborate with DevOps teams to deploy, monitor, and scale applications in cloud environments (AWS, Azure, GCP).
• Optimize code for performance, scalability, and maintainability.
• Write unit and integration tests, participate in code reviews, and follow CI/CD best practices.
• Work with cloud storage, databases, and data lake technologies like S3, Parquet, and DuckDB.
• Collaborate with data scientists, analysts, and engineers to enable data access and modeling.

Required Skills & Qualifications

• 5+ years of experience in backend software development, primarily in Python.
• Strong understanding of OOP, modular design, and Python design patterns.
• Experience with web frameworks (e.g., Flask, FastAPI, Django).
• Hands-on experience with data processing tools like Pandas, SQLAlchemy, PyArrow.
• Proficiency with SQL and database technologies (PostgreSQL, DuckDB, etc.).
• Experience with Airflow for workflow orchestration.
• Knowledge of building scalable, distributed applications and microservices.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Solid understanding of version control (Git), testing frameworks (PyTest), and CI/CD pipelines.
• Excellent problem-solving, debugging, and communication skills.

Preferred Skills (Nice to Have)

• Experience with data processing frameworks like Apache Spark or Vaex.
• Familiarity with data storage formats and tools like Parquet, Iceberg.
• Exposure to data streaming platforms (Kafka, Kinesis, Flink).
• Experience integrating backend systems with AI/ML pipelines or BI platforms.
• Understanding of security standards and compliance (GDPR, HIPAA, SOC2).
• Background in metadata-driven or event-driven architectures.

🚨 We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Own and evolve the technical backbone of an AI-first enterprise platform.

You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.

🧩 What You’ll Do

• Architect large-scale distributed systems powering AI-driven workflows
• Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
• Redesign legacy systems into scalable, modular, AI-native architectures
• Drive system design excellence across teams (APIs, infra, observability, reliability)
• Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
• Mentor senior engineers and influence engineering culture/org standards
• Partner with product, data, and leadership on long-term technical strategy

🧠 What We’re Looking For

• Proven track record building high-scale backend or platform systems
• Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
• Strong exposure to data systems/infra / Data / real-time architectures
• Experience or strong interest in LLMs, GenAI, or AI system design
• Exceptional system design, abstraction, and problem-solving ability
• High ownership mindset — you think in terms of systems, not tickets
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset
• Solve hard system problems (latency, scale, reliability)
• Drive cross-team technical decisions and standards
• Mentor senior engineers and influence org-wide architecture 
• Design large-scale distributed systems and backend platforms
• Mentorship & Technical Leadership 
• Expertise in system design, scalability, and performance optimization

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

About the Role:

We are seeking a highly skilled and motivated individual to join our development team. The ideal candidate will have extensive experience with Node.js, AWS, and MongoDB, and a strong pro-activeness and ownership mindset.

Technical Expertise:

• Architect, design, and develop scalable and efficient backend services using Node.js (Nest.js).
• Design and manage cloud-based infrastructure on AWS, including EC2, ECS, RDS, Lambda, and other services.
• Work with MongoDB to design, implement, and maintain high-performance database solutions.
• Leverage Kafka, Docker and serverless technologies like SST to streamline deployments and infrastructure management.
• Optimize application performance and scalability across the stack.
• Ensure security and compliance standards are met across all development and deployment processes.

Bonus Points:

• Experience with other backend languages like Python and worked on Agentic AI
• Security knowledge and best practices.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Do you have what it takes?

·      Proficient in C, C++ development, OS concepts, Data Structures, Distributed computing, and Algorithms.

·      Actively engaged in projects related to architecture and design (architecture, design patterns, reliability, and scaling).

·      Excellent problem-solving capability with strong fundamentals in Computer Science.

·      Highly proficient in data structures and algorithms.

·      Ability to pick up new technologies rapidly to convert specifications to low level design.

·      Ability to clearly communicate the intent and approach when producing a code design document.

How can you contribute to our success?

·      Develop frontend as well as backend components for delivering product on cloud platforms.

·      Participate in activities that lead up to the code design. This may include activities such as developing prototypes, proof of concept, compare pros and cons of various implementation choices being considered and recommending the most appropriate one.

·      Mentor and influence junior developers to adhere to good coding standards and become quality conscious.

·      Review critical pieces of code that are developed as per this code design.

·      Ensure that the code being delivered is of the highest quality.

·      Ensure appropriate unit tests and functional as well as non-functional tests are considered.

·      Conceptualize and work towards building processes, methodology, and tools to improve team’s ability to deliver high quality software. 

• BackEnd Technologies:

• Technical knowledge:

• It is important to adapt to changing requirements
• Have the ability to integrate external systems

How many hours are they expected to work? 

• - Full time position ( 40+ hours a week) 
•  

What hours should they work?

•  - Prefer 9-5 EST but there is wiggle room
•  

Will there be nights and weekends? 

• - Nights and weekends are not scheduled, however we are looking for someone that takes pride in their work and will lean in to hit a deadline or to fix a bug if it has a significant impact on the platform.
•  

Should they be expected to lead?

• - Yes, you should be expected to lead and to communicate/ cooperate with other devs as a team. Some coding might be alone but the hope of the app is that it all works seamlessly together and to ensure that there needs to be communication among all devs front end and back end. 
•  

Who will they report to?

• - They will report to Product OwnerRob and Product ManagerJulietta daily for standups and well as pushing tasks through the appropriate structure of review, QA, and production. 
• They will also report and check in with Client SuccessCourtney as we look to make the app have a seamless customer experience and customer value. The goal of Attribute should be to try and give as much value as quickly and easily as possible.

Will they work alone or in a team?

• In some spots they might be expected to work alone and on a separate sprint from others, however, everything needs to tie in and work together, because of that the developer must be team oriented in both development and problem solving.
• Additionally, there will be times that they should expect to work with people who are not particularly tech savvy ( ie. sales, marketing, customer success etc.) to collaborate on a specific feature to produce the best thing for the product.

Accountability

• The developer is both accountable for their code and the code of the team. They should take care and responsibility in the work that is done and if there are problems with the code in QA or production work as diligently as possible to fix that problem ( whether it is their code directly or not).
• As part of this all code will be attached from Github to Jira for developers to constantly upload their commits to Jira tasks
• A mistake is completely fine and expected, bugs are to be expected. What is asked is that you report it as soon as possible and are honest about it so that we can move forward in resolving it as soon as possible.

Customer, Usability, and Value Focused

• The end user of our product will be marketing professionals/head of marketing. At all times the developers need to take this into account and spend time thinking of the ease and the use cases that people will utilize their code or features in real life versus what is a way to make something work but in a vacuum. 

Quality focused

• Pushing out code is awesome, but if the code has a ton of bugs and does not do the required action that is practical for the user then it does not matter. We want a developer who is Quality focused and also hold their other developers accountable.

Focused on the whole 

• When producing a feature it is easy to sometime get sucked into how that features works in a vacuum. The developers need to be able to work together and understand the software architecture as a whole in order to make whatever feature they are working on be able to work with the other features that are built within the app ( and will be built or are on the roadmap for the future).

Creativity and Experimentation

• Developers are expected to work within structures, however, they are always encouraged to take time to think of creative solutions and to collaborate on new features or ways of making the product better.

Unfeathered, Honest, Respectful Communication

• Every developer should feel free to speak their mind in a respectful manner to other developers as well as anyone else in the entirety of the company. Any opinion, thought, or perspective will be listened to and valued. 

Next Man or Woman Up Mentality

• Never should anyone on the team defer a problem and say “ thats not my fault or problem”. We are one unit and one company. One problem is everyone's problem and should lean in to the “next man up philosophy” if you have the time and can help to fix the problem and bring it to a solution you should be willing to.

Upward Mobility and Vesting Opportunity

• This position will allow for upward mobility, increased responsibility, and for people who constantly go above and beyond an opportunity to vest into and own equity in the company