
- Working in high paced competitive stock trading environment with core web app development, scripting, data interpretation and manipulation skills
- Designing, creating and maintaining our in-house software for business requirements
- Work on innovative ideas to improve the user experience of our internal systems and applications which are used by the trading teams
- Improve on existing tools to make trade monitoring systems robust and more reliable
Ideal candidate should have:
- Engineering degree in Computer Science (preferred) or any other discipline
- Experience on Python web app development (Preferably Django)
- Ability to work as a full stack developer
- Experience in Shell/Perl or Python scripting
- Prior experience of Linux or Unix based operating systems
- Ability to create automation scripts
- Experience/Knowledge of financial industry
- Ability to work in fast paced environment under pressure and manage multiple high priority projects
- Willingness to learn and work on new technologies
- Excellent communication skills

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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
Mandatory skills
Hands on Python Programming.5+ years of Data Engineering experience: Skills sets: Python, SQL (Snowflake), S3.
Good to have
AWS familiarity would help
Job title - Python developer
Exp – 4 to 6 years
Location – Pune/Mum/B’lore
PFB JD
Requirements:
- Proven experience as a Python Developer
- Strong knowledge of core Python and Pyspark concepts
- Experience with web frameworks such as Django or Flask
- Good exposure to any cloud platform (GCP Preferred)
- CI/CD exposure required
- Solid understanding of RESTful APIs and how to build them
- Experience working with databases like Oracle DB and MySQL
- Ability to write efficient SQL queries and optimize database performance
- Strong problem-solving skills and attention to detail
- Strong SQL programing (stored procedure, functions)
- Excellent communication and interpersonal skill
Roles and Responsibilities
- Design, develop, and maintain data pipelines and ETL processes using pyspark
- Work closely with data scientists and analysts to provide them with clean, structured data.
- Optimize data storage and retrieval for performance and scalability.
- Collaborate with cross-functional teams to gather data requirements.
- Ensure data quality and integrity through data validation and cleansing processes.
- Monitor and troubleshoot data-related issues to ensure data pipeline reliability.
- Stay up to date with industry best practices and emerging technologies in data engineering.
Responsibilities:
- Lead simultaneous development for multiple business verticals.
- Design & develop highly scalable, reliable, secure, and fault-tolerant systems.
- Ensure that exceptional standards are maintained in all aspects of engineering.
- Collaborate with other engineering teams to learn and share best practices.
- Take ownership of technical performance metrics and strive actively to improve them.
- Mentors junior members of the team and contributes to code reviews.
Requirements:
- A passion to solve tough engineering/data challenges.
- Be well versed with cloud computing platforms AWS/GCP
- Experience with SQL technologies (MySQL, PostgreSQL)
- Experience working with NoSQL technologies (MongoDB, ElasticSearch)
- Excellent Programming skills in Python/Java/GoLang
- Big Data streaming services (Kinesis, Kafka, RabbitMQ)
- Distributed cache systems(Redis, Memcache)
- Advanced data solutions(BigQuery, RedShift, DynamoDB, Cassandra)
- Automated testing frameworks and CI/CD pipelines Infrastructure orchestration(Docker/Kubernetes/Nginx)
- Cloud-native tech like Lambda, ASG, CDN, ELB, SNS/SQS, S3 Route53 SES
Must have exp in Django. [ Mandatory]
- The ability to problem-solve and critically think.
- High level of knowledge of Python and the Django framework.
- Familiarity with event driven programming as well as the MVC.
- Good understanding of SQL databases.
- Good understanding of REST APIs.
Requirements
YOUR ‘OKR’ SUMMARY
OKR means Objective and Key Results.
As a Software Engineer at Coredge, you will help develop our next-generation cloud native core solution along with the product and the open-source community to build the Coredge.io vision.
What you will do?
- System engineering and implementation in Python and Golang.
- Working on performance issues using creative experiments and internally developed product features.
- Research, propose, and integrate relevant open-source projects based on product objectives.
- Write organized, efficient, and well documented Python/Golang code as an example for junior engineers.
- Participation in all levels of product definition, design, implementation, testing, and deployment.
- Must include the ability to discuss abstract system architectures from ideas through implementation and
- creatively apply domain experience to solve technical challenges.
- Mentoring software engineers, fostering an environment of trust and accountability.
What you will need?
- A strong sense of ownership, urgency, and drive. As an integral part of the development team, you will need the
- following skills to succeed.
- Strong Python skills to develop framework(s).
- Hands-on to design & develop re-usable framework components.
- Hands-On experience on developing framework, designing re-usable framework components.
- Experience in engineering practices such as code refactoring, design patterns, design driven
- development, Continuous Integration, building highly scalable applications, application security and functional programming.
Additional Skills:
- Knowledge of Cloud native would be an advantage.
- Understanding of Kubernetes from Architecture side and also understand the Standard API.
- Code contributed to CNCF or similar community will be plus.
- Performance benchmarking of K8’s or any cloud will be added advantage.
Additional Advantage:
- Deep understanding of technology and passionate about what you do.
- Background in designing high performant scalable software systems with strong focus to optimize
- hardware cost.
- Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment.
- Strong commitment to get the most performance out of a system being worked on.
- Prior development of a large software project using service-oriented architecture operating with real time constraints.
What's In It for You?
- You will get a chance to work on cloud-native and hyper-scale products
- You will be working with industry leaders in cloud.
- You can expect a steep learning curve.
- You will get the experience of solving real time problems, eventually you become a problem solver.
Benefits & Perks:
- Competitive Salary
- Health Insurance
- Open Learning - 100% Reimbursement for online technical courses.
- Fast Growth - opportunities to grow quickly and surely
- Creative Freedom + Flat hierarchy
- Sponsorship to all those employees who represent company in events and meet ups.
- Flexible working hours
- 5 days week
- Hybrid Working model (Office and WFH)
Our Hiring Process:
- Candidates for this position can expect the hiring process as follows (subject to successful clearing of every round)
- Initial Resume screening call with our Recruiting team
- Next, candidates will be invited to solve coding exercises.
- Next, candidates will be invited for first technical interview
- Next, candidates will be invited for final technical interview
- Finally, candidates will be invited for Culture Plus interview with HR
- Candidates may be asked to interview with the Leadership team
- Successful candidates will subsequently be made an offer via email
- As always, the interviews and screening call will be conducted via a mix of telephonic and video call.
So, if you are looking at an opportunity to really make a difference- make it with us…
Coredge.io provides equal employment opportunities to all employees and applicants for employment and prohibits
discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability
status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other
characteristic protected by applicable central, state or local laws.
Job Responsibilities
Design and build from cloud-based products and services with massive scale and reliability Write clean and modular code primarily in Python to create multi tenant microservices Terabyte scale data per month with SLA end to end latency and tenant fairness
Build CICD based software development model with end-to-end ownership of code delivery - starting from design/architecture, coding, automated functional/integration testing and operating/monitoring the service in production.
Use relevant technologies and cloud services like Kafka, Redis, Mongo, RDS, Spark Streaming, Redshift, Airflow to build highly performant and scalable distributed systems
Design and develop data schema and access layer to optimally store and retrieve data
Stay up to date with the latest developments in cloud computing and incorporate relevant learnings to both product features and product architecture.
Preferred Qualifications
BS/Btech (Btech Preferred) in Computer Science, Computer Engineering, Information Technology
Preferred Technical Skills:
2- 6 years of software development experience with enterprise-grade software. Must have experience in building scalable, high-performance cloud services Expert coding skills in Python, Django
In Depth experience in AWS is mandatory
Expertise in building scalable event based asynchronous systems based on the microservices architecture
Experience working with docker and kubernetes
Experience with databases such as MongoDB, Redis, RDS, RDF, Graph DB, SPARQL etc. Experience with messaging technologies such as Kafka, Pulsar, SQS
Must have expertise in building REST APIs
Strong object-oriented designing and programming experience Experience in cloud object stores: S3, Cloud Storage, Blobs, etc. Desired Technical Skills:
Open source committer in related areas like cloud technologies, kubernetes, database etc Additional Skills
Great written and verbal communication
Ability to work geo distributed cross functional group










