Perl & Python programmer

Strong Senior Backend Engineer profiles

Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems

Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).

Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework

Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Mandatory (Education) – Candidates from top engineering institutes (IITs, BITS, or equivalent Tier-1 colleges) are preferred

Numino Labs 

Business: Software product engineering services: Pune, Goa.

Clients: Software product companies in the USA.

Business model: Exclusive teams for working on client products; direct and daily interactions with clients

Client 

Silicon Valley startup in genAI: 45m+ in funding.

Product: B2B SaaS. 

Core IP: Physics AI foundation model for hardware designers with specific focus on semi-conductor chip design.

Customers: World's top chip manufacturers

Responsibilities

• Team player: Delivers effectively with teams; interpersonal skills, communication skills, risk management skills
• Technical Leadership: Works with ambiguous requirements, designs solutions, independently drives delivery to customers
• Hands on coder: Leverages AI to drive implementation across Reactjs, Python, DB, UnitTest, TestAutomation & Cloud Infra & CI/CD Automation.

Requirements

• Strong computer science fundamentals: data structures & algorithms, networking, RDBMS, and distributed computing
• 8-15 years of experience on Python Stack: Behave, PyTest, Python Generators & async operations, multithreading, context managers, decorators, descriptors
• Python frameworks: FastAPI or Flask or DJango or SQLAlchemy
• Expertise in Microservices, REST/gRPC APIs design, Authentication, Single Sign-on
• Experience in high performance delivering solutions on Cloud
• Some experience in FE: Js & Nextjs/ReactJs
• Some experience in DevOps, Cloud Infra Automation, Test Automation

• Responsible for providing technical leadership, design and development of complex pieces of the service oriented architecture based platform.
• Modelling Database Design for large scale applications.
• Develop for performance engineering.
• Design for the right use of micro services, containerization and observability.

• Drive technology and product innovation through rapid prototyping and iterative development.
• Create reference implementation for our integrations and for backward compatibility.
• Not interested in managerial responsibilities

Requirements, Desired Skills and Experience

• Tech Stack based on Ruby-on-Rails, Python-Django or Node.js frameworks.

• Engineering degree 

   Opportunities for the right candidate

• Build and develop SaaS and PaaS products from scratch
• Build the best-in-class UX based products
• State of Art technologies (Latest trends in the industry)
• Work with a well-knit team, almost like one’s family
• Startup culture and advantages of working in a co-working space
• Performance based career progress and high visibility with management and founders

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Ruby analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the community to understand the problems with static analysis tools in the Ruby ecosystem.

• Identify bad code practices in Ruby and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false-positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 3 years of professional software development experience in Ruby.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Ruby best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.