Python Developer

Senior Python Developer (Backend & Architecture)

Level: Senior

Experience: 8–10 years

Function: Backend Engineering & Architecture

Role Overview

As Senior Python Developer, you will own the backend architecture of the platform — the

scalable, reliable foundation on which agents are created, deployed, and run. You will design

the core services, data layers, and execution infrastructure that make the Agent OS robust at

scale.

Key Responsibilities

• Design and own the backend architecture — services, APIs, data models, and the agent

execution / runtime engine.

• Build scalable, secure, high-performance Python services that power agent deployment

and runtime.

• Architect the systems that manage the full agent lifecycle: creation, versioning,

deployment, scaling, and monitoring.

• Design asynchronous, event-driven, and queue-based systems for reliable agent

execution at scale.

• Build robust integration layers connecting tools, connectors, databases, and the AI / ML

layer.

• Define and uphold standards for code quality, testing, observability, and security across

the backend.

• Optimize the platform infrastructure for performance, reliability, cost, and scalability.

Required Skills & Experience

• 8–10 years of backend development with deep, expert-level Python.

• Hands-on experience with the backend of agent-builder / Agent OS platforms — the

infrastructure that lets users build, deploy, and run AI agents reliably at scale.

• Strong experience designing distributed systems and microservices architecture.

• Expertise with modern Python frameworks (FastAPI, Django, or Flask) and async

programming (asyncio).

• Strong API design skills (REST / GraphQL) and experience with message queues / event

systems (Kafka, RabbitMQ, Celery, or similar).

• Solid database design across SQL and NoSQL, with experience in caching and vector

stores.

• Experience with containers and orchestration (Docker, Kubernetes) and cloud platforms

(AWS / Azure / GCP).

• Strong grasp of system design, scalability, security, and production reliability.

• Familiarity with LLM orchestration, RAG pipelines, or model-serving infrastructure.

• Experience with multi-tenant SaaS architecture and infrastructure-as-code.

• Exposure to observability and tracing for distributed, long-running workloads.

Candidate must have 6+ years of backend engineering experience, with 1–2 years leading engineers or owning major systems.

Candidate must be from a product-based organization with a startup mindset.

Must be strong in one core backend language: Node.js, Go, Java, or Python.

Deep understanding of distributed systems, caching, high availability, and microservices architecture.

Hands-on experience with AWS/GCP, Docker, Kubernetes, and CI/CD pipelines.

Strong command over system design, data structures, performance tuning, and scalable architecture

Ability to partner with Product, Data, Infrastructure, and lead end-to-end backend roadmap execution.

6 + years of hands-on development experience and in-depth knowledge of , Spring Java, Spring boot, Quarkus and nice to have front-end technologies like Angular, React JS

● Excellent Engineering skills in designing and implementing scalable solutions

● Good knowledge of CI/CD Pipeline with strong focus on TDD

● Strong communication skills and ownership

● Exposure to Cloud, Kubernetes, Docker, Microservices is highly desired.

● Experience in working on public cloud environments like AWS, Azure, GCP w.r.t. solutions development, deployment & adoption of cloud-based technology components like IaaS / PaaS offerings

● Proficiency in PL/SQL and Database development.

Strong in J2EE & OOPS Design Patterns.

About Corridor Platforms

Corridor Platforms is a leader in next-generation risk decisioning and responsible AI governance, empowering banks and lenders to build transparent, compliant, and data-driven solutions. Our platforms combine advanced analytics, real-time data integration, and GenAI to support complex financial decision workflows for regulated industries.

Role Overview

As a Backend Engineer at Corridor Platforms, you will:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers – such as SQLAlchemy – and multi RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Technical Skills

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark
• Databases: PostgreSQL, Oracle, SQL Server, Redis
• Tools: pytest, Docker, Git, Nx
• Cloud: Experience with AWS, Azure, or GCP preferred
• Monitoring: Familiarity with OpenTelemetry and logging frameworks

Why Join Us?

• Cutting-Edge Tech: Work hands-on with the latest AI, cloud-native workflows, and big data tools—all within a single compliant platform.
• End-to-End Impact: Contribute to mission-critical backend systems, from core data models to live production decision services.
• Innovation at Scale: Engineer solutions that process vast data volumes, helping financial institutions innovate safely and effectively.
• Mission-Driven: Join a passionate team advancing fair, transparent, and compliant risk decisioning at the forefront of fintech and AI governance.

What We’re Looking For

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows,  and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Ready to build backends that shape the future of decision intelligence and responsible AI?

Apply now and become part of the innovation at Corridor Platforms!

About the Role

At Ceryneian, we’re building a next-generation, research-driven algorithmic trading platform aimed at democratizing access to hedge fund-grade financial analytics. Headquartered in California, Ceryneian is a fintech innovation company dedicated to empowering traders with sophisticated yet accessible tools for quantitative research, strategy development, and execution.

Our flagship platform is currently under development. As a Backend Engineer, you will play a foundational role in designing and building the core trading engine and research infrastructure from the ground up. Your work will focus on developing performance-critical components that power backtesting, real-time strategy execution, and seamless integration with brokers and data providers. You’ll be responsible for bridging core engine logic with Python-based strategy interfaces, supporting a modular system architecture for isolated and scalable strategy execution, and building robust abstractions for data handling and API interactions. This role is central to delivering the reliability, flexibility, and performance that our users will rely on in fast-moving financial markets.

We are a remote-first team and are open to hiring exceptional candidates globally.

Core Tasks

·      Build and maintain the trading engine core for execution, backtesting, and event logging.

·      Develop isolated strategy execution runners to support multi-user, multi-strategy environments.

·      Implement abstraction layers for brokers and market data feeds to offer a unified API experience.

·      Bridge the core engine language with Python strategies using gRPC, ZeroMQ, or similar interop technologies.

·      Implement logic to parse and execute JSON-based strategy DSL from the strategy builder.

·      Design compute-optimized components for multi-asset workflows and scalable backtesting.

·      Capture real-time state, performance metrics, and slippage for both live and simulated runs.

·      Collaborate with infrastructure engineers to support high-availability deployments.

Top Technical Competencies

·      Proficiency in distributed systems, concurrency, and system design.

·      Strong backend/server-side development skills using C++, Rust, C#, Erlang, or Python.

·      Deep understanding of data structures and algorithms with a focus on low-latency performance.

·      Experience with event-driven and messaging-based architectures (e.g., ZeroMQ, Redis Streams).

·      Familiarity with Linux-based environments and system-level performance tuning.

Bonus Competencies

·      Understanding of financial markets, asset classes, and algorithmic trading strategies.

·      3–5 years of prior Backend experience.

·      Hands-on experience with backtesting frameworks or financial market simulators.

·      Experience with sandboxed execution environments or paper trading platforms.

·      Advanced knowledge of multithreading, memory optimization, or compiler construction.

·      Educational background from Tier-I or Tier-II institutions with strong computer science fundamentals, a passion for scalable system design, and a drive to build cutting-edge fintech infrastructure.

What We Offer

·      Opportunity to shape the backend architecture of a next-gen fintech startup.

·      A collaborative, technically driven culture.

·      Competitive compensation with performance-based bonuses.

·      Flexible working hours and a remote-friendly environment for candidates across the globe.

·      Exposure to financial modeling, trading infrastructure, and real-time applications.

·      Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna.

Ideal Candidate

You’re a backend-first thinker who’s obsessed with reliability, latency, and architectural flexibility. You enjoy building scalable systems that transform complex strategy logic into high-performance, real-time trading actions. You think in microseconds, architect for fault tolerance, and build APIs designed for developer extensibility.

• Experience in API development using Java will be a plus.

• Excellent knowledge and experience in writing testable, scalable, flexible, robust and efficient web applications using JavaEE 6/7 technologies, specifically, Spring core, Spring Boot Spring Data, spring batch and JPA
• Experience in successfully deploying Java-based applications in production and understanding load-balancing, authentication, and fault tolerance through Tom Cat.
• Experience in database modeling (MySQL/NoSQL databases such as Mongo DB)

• Knowledge of integrating with Ant, Maven, GIT and Shell scripting.
• Strong backend experience to develop Data Layer using at least one of the ORM frameworks like Hibernate, JPA etc.
• Strong RDBMS Skills and SQL skills. Experience in MySQL, Teradata and warehousing databases.

• Experience in Analytics frameworks and visualization products.

• Excellent knowledge and experience of Maven, Continuous Integration, and Continuous Delivery with Jenkins.
  • Experience with JavaScript frameworks, especially Angular is a definite plus.

Java 8, J2EE , Spring Boot, Microservices, Apache Spark, DevOps, Advanced SQL, preferably with

expertise in Data engineering/Data analytics,

ELK(Elastic Search, Logstash , Kibana) stack, Teradata, any No SQL database, Hands on experience in

maintaining products on Cloud Technologies like PCF, Azure, Docker, Kubernetes, etc, NodeJS,

Angular 2x, GitLab with CI/CD, Hands on experience in Unix server, Shell scripting, Large data

processing, Performance tuning, Experience in working in various Test Automation frameworks like

Selenium, Test NG, Python, Cucumber, Karma, Karate/ Jasmine, etc

Experience in using Eclipse, Spring tool suite, Project building tools - Maven, Gradle, etc, JIRA for ALM.

       Dot Net Developer

1. Should have experience in.Net Core .
2. Should have knowledge in SQL – Intermediate
3. Should have worked on.Net WPF – Intermediate
4. Should have .Net Web Apis – Basic
5. Basic knowledge onAzure Dev Ops (Event Hub & ADF) 
6. .Net C# (for custom libraries) – Intermediate
7. System Platform - Basic 
8. Should have excellent communication skills both verbal and written.
9. Should be comfortable working in UK/US shifts.
10. Excellent interpersonal and customer service skills.
11. Excellent organizational skills and attention to detail.
12. Excellent time management skills with a proven ability to meet deadlines.

Experience : 2-5 Years

Job Location :Pune/Remote
Job Timings : 2:30pm-11:30pm

Job Description :

Hiring for Staff Engineer (Back end) for a leading product based company at DLF IT Park, Chennai.

Skill Set :

- Strong Experience in any Programming language (Ruby, Go, Java, or other high-performance languages), Architecture, Design (HLD/LLD), Data structures, Algorithms, Hands-on Coding, Problem Solving, etc

- Experience in Web Technology is Must.

- Looking for candidates with good experience in product development.

- Candidates from product development companies will be preferred.

- Candidates willing to relocate/preferring Chennai can apply.

Responsibilities :

- Analyze and drive product requirements

- Architect and design product features for scale and maintainability

- Lead in the design, implementation, and deployment of successful systems and services

- Ensure the quality of architecture and design of systems

- Implement code with very high coverage of unit tests and component tests

- Perform design and code reviews

- Functionally decompose complex problems into simple, straight-forward solutions

- Fully and completely understand system interdependencies and limitations

- Possess expert knowledge in performance, security, scalability, architecture, and best practices

- Software development of high quality/availability core systems

- Cross-training peers and mentoring teammates

- Document HLD/LLD for easy knowledge sharing and future scaling

Must have :

- 8-12 years of experience designing, integrating and developing distributed applications in Ruby, Go, Java, or other high-performance languages

- Experience with cluster and container orchestration systems such as Docker, Mesos, Marathon, Salt or Kubernetes.

- Experience with Service design, systems engineering, API Design and versioning

- Understanding of Design Patterns, Serverless computing, cloud-first architecture, TDD, BDD, CI/CD, Integration Patterns

Good to have :

- Experience building distributed systems using Kafka. Strong grasp of fundamental concepts of Kafka, ZooKeeper and building producer and consumer applications using Kafka

- Familiarity writing and optimizing advanced SQL queries

- Good Linux/UNIX systems knowledge

- AWS compute and storage PaaS services. AWS certified solutions architect nice to have.

- Experience productionizing Machine Learning models

- Experience publishing technical papers in reputed conferences.